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Subthalamic Nucleus Stimulation Affects Theory of Mind Network: A PET Study in Parkinson's Disease

  • Julie Péron ,

    Contributed equally to this work with: Julie Péron, Florence Le Jeune

    marc.verin@chu-rennes.fr

    Affiliations Clinique Neurologique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Florence Le Jeune ,

    Contributed equally to this work with: Julie Péron, Florence Le Jeune

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service de Médecine Nucléaire, Centre Anti-cancéreux Eugène Marquis de Rennes, Rennes, France

  • Claire Haegelen,

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service de Neurochirurgie, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Thibaut Dondaine,

    Affiliations Clinique Neurologique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service Hospitalo-Universitaire de Psychiatrie Adulte, Centre Hospitalier Guillaume Régnier de Rennes, Rennes, France

  • Dominique Drapier,

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service Hospitalo-Universitaire de Psychiatrie Adulte, Centre Hospitalier Guillaume Régnier de Rennes, Rennes, France

  • Paul Sauleau,

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service des Explorations Fonctionnelles, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Jean-Michel Reymann,

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Centre d'Investigation Clinique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Sophie Drapier,

    Affiliations Clinique Neurologique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Tiphaine Rouaud,

    Affiliations Clinique Neurologique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

  • Bruno Millet,

    Affiliations Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Service Hospitalo-Universitaire de Psychiatrie Adulte, Centre Hospitalier Guillaume Régnier de Rennes, Rennes, France

  • Marc Vérin

    Affiliations Clinique Neurologique, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France, Unité de Recherche Universitaire-EM 425 «Behavior and Basal Ganglia», Université Rennes 1, Hôpital Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes, France

Subthalamic Nucleus Stimulation Affects Theory of Mind Network: A PET Study in Parkinson's Disease

  • Julie Péron, 
  • Florence Le Jeune, 
  • Claire Haegelen, 
  • Thibaut Dondaine, 
  • Dominique Drapier, 
  • Paul Sauleau, 
  • Jean-Michel Reymann, 
  • Sophie Drapier, 
  • Tiphaine Rouaud, 
  • Bruno Millet
PLOS
x

Abstract

Background

There appears to be an overlap between the limbic system, which is modulated by subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinson's disease (PD), and the brain network that mediates theory of mind (ToM). Accordingly, the aim of the present study was to investigate the effects of STN DBS on ToM of PD patients and to correlate ToM modifications with changes in glucose metabolism.

Methodology/Principal Findings

To this end, we conducted 18FDG-PET scans in 13 PD patients in pre- and post-STN DBS conditions and correlated changes in their glucose metabolism with modified performances on the Eyes test, a visual ToM task requiring them to describe thoughts or feelings conveyed by photographs of the eye region. Postoperative PD performances on this emotion recognition task were significantly worse than either preoperative PD performances or those of healthy controls (HC), whereas there was no significant difference between preoperative PD and HC. Conversely, PD patients in the postoperative condition performed within the normal range on the gender attribution task included in the Eyes test. As far as the metabolic results are concerned, there were correlations between decreased cerebral glucose metabolism and impaired ToM in several cortical areas: the bilateral cingulate gyrus (BA 31), right middle frontal gyrus (BA 8, 9 and 10), left middle frontal gyrus (BA 6), temporal lobe (fusiform gyrus, BA 20), bilateral parietal lobe (right BA 3 and right and left BA 7) and bilateral occipital lobe (BA 19). There were also correlations between increased cerebral glucose metabolism and impaired ToM in the left superior temporal gyrus (BA 22), left inferior frontal gyrus (BA 13 and BA 47) and right inferior frontal gyrus (BA 47). All these structures overlap with the brain network that mediates ToM.

Conclusion/Significance

These results seem to confirm that STN DBS hinders the ability to infer the mental states of others and modulates a distributed network known to subtend ToM.

Introduction

High-frequency deep brain stimulation (DBS) of the subthalamic nucleus (STN) constitutes a therapeutic advance for severely disabled patients with Parkinson's disease (PD) in whom long-term pharmacological treatment has failed. Although the beneficial effects of chronic DBS on PD motor symptoms are now largely confirmed [1], a number of studies have also reported nonmotor effects following STN stimulation, specifically in the cognitive, behavioural and emotional domains [2], [3], [4].

The explanation for these clinical modifications induced by STN stimulation lies in the neuroanatomical organization of the basal ganglia, in which the STN is thought to play a central role, not only in the regulation of motor function but also in the regulation and/or integration of associative and limbic functions [2], [5]. The basal ganglia are interconnected with specific motor, associative and limbic cortical regions through a series of (partially) segregated and highly topographically organized circuits [6], [7], [8] which subtend specific motor, oculomotor, associative and limbic functions.

A number of positron emission tomography (PET) studies of humans have confirmed these hypotheses, demonstrating modifications in cerebral activation and associating them with changes in cognitive function [9], [10], [11], [12] and emotional impairment following STN DBS [13], [14]. These results suggest that the STN may be part of a broadly distributed neural network involved in associative and emotional processing, either via computation within the STN itself or by virtue of its impact on other associative/limbic territories. This network seems to encompass not only cortical regions, including the orbitofrontal cortex (OFC), temporal sulcus, temporal poles, cingulate gyrus and prefrontal cortex, but also several subcortical regions, such as the amygdala and ventral striatum. Interestingly, these structures appear to overlap with the brain network that mediates theory of mind (ToM). This is the cognitive ability to represent one's own and other people's mental states [15], and seems to be sustained by the areas described above [16].

Accordingly, the aim of the present study was to investigate the effects of STN DBS on the ToM abilities of PD patients. We hypothesized that STN DBS would impair ToM, because of the overlap between the limbic system, which is modulated by STN DBS in PD, and the brain network that mediates ToM. A further aim of this study was to correlate these ToM modifications with changes in glucose metabolism. To this end, we conducted an 18FDG-PET investigation of thirteen PD patients in pre- and post-STN DBS conditions and correlated changes in their glucose metabolism with modified performances on a ToM task: the Reading the Mind in the Eyes Test.

Methods

1. Participants

One group of PD patients and a healthy control (HC) group took part in the study. All patients met the clinical criteria of the United Kingdom Parkinson's Disease Society Brain Bank for idiopathic PD [17].

The patient group consisted of a series of 13 consecutive patients with medically intractable PD, who underwent bilateral STN DBS at Rennes University Hospital (France). Standard selection and exclusion criteria for surgery were applied to all patients [18]. In particular, brain atrophy was excluded on the basis of a preoperative MRI scan and a radiological analysis. There were eight men and five women. Mean (± SD) age at surgery was 53.3 (±8.5) years. Mean (± SD) education level was 12.7 (±3.1) years. All 13 PD patients were right-handed, according to the criteria of the Edinburgh Handedness Inventory [19]. Mean (± SD) disease duration at surgery was 10.5 (±3.6) years. The total levodopa-equivalent dose (LED) was calculated on the basis of the following correspondences adapted from [20]: mean (± SD) 1,081.1 mg (±605.3) before STN DBS and 625.8 mg (±600.9) after STN DBS.

The HC group consisted of 13 healthy individuals who had no history of neurological disease, head injury or alcohol abuse, and displayed no signs of dementia, as attested by their scores on the Mattis Dementia Rating Scale (MDRS) [21] (mean score  = 141.2, SD  = 1.9). There were eight men and five women. Mean (± SD) education level was 13.4 (±2.7) years. All 13 HC participants were right-handed, according to the criteria of the Edinburgh Handedness Inventory [19].

The two groups were comparable for handedness and gender ratio. Similarly, there was no statistical difference between the two groups regarding age (U = 64.00, p = .3) or education level (U = 64.00, p = .3). After a full description of the study, written informed consent was obtained for each participant, and the study was conducted in accordance with the Declaration of Helsinki.

All the patients were assessed three months before and three months after surgery, using motor, PET and neuropsychological assessments. These evaluations were all performed the same week. All the patients were on stimulation and on dopa for the PET and neuropsychological evaluations. Prior to the STN DBS, all patients were neuropsychologically assessed to rule out cognitive impairments, using the MDRS [21] and executive tasks, and depression, using the Montgomery and Asberg Depression Rating Scale (MADRS) [22]. After surgery, they were followed up clinically by a movement disorder specialist. None of the patients included in this study suffered from dementia (Mattis: mean (± SD)  = 141.4 (±1.7)) or depression (MADRS: mean (± SD)  = 3.4 (±4.2)).

2. Motor evaluations

All patients were assessed according to the Core Assessment Program for Intracerebral Transplantation [23] and scored on the Unified Parkinson's Disease Rating Scale (UPDRS) I to IV [24], the Hoehn and Yahr scale (H&Y) [25], and the Schwab and England scale (S&E) [26] 3 months before and 3 months after surgery. Patients were assessed on and off dopa before and after surgery. Stimulation remained on after surgery.

3. Neurosurgery

3.1 Methodology.

Quadripolar (from “0” for the most ventral contact to “3” for the most dorsal one) deep brain stimulation electrodes (3389 Medtronic, Minneapolis, MN, USA) were implanted bilaterally in the STN. The overall methodology was similar to that previously described by Benabid and colleagues [27]. The location of the two selected electrode contacts (one on the left and one on the right) was determined using the stereotactic coordinates of a ventriculogram performed at the beginning of the surgical procedure. During the operation, the final locations of the electrode were determined by the best effect obtained on rigidity with no side effects and at the lowest voltage. A three-dimensional CT brain scan performed a few days later confirmed the position of the electrodes.

3.2 Electrode location.

The contacts' coordinates were expressed as millimetres along three axes originating from the middle of the bicommissural line: the first axis was parallel to the bicommissural line, the second axis was perpendicular to the AC-PC line and the third axis was perpendicular to the midsagittal plane. The mean (± SD) coordinates of the left selected contacts were 13.1 (±1.3) mm lateral to the AC-PC line, 0.8 (±2.0) mm below AC-PC and 3.9 (±1.5) mm posterior to the midpoint of the AC-PC line. The mean coordinates of the right selected contacts were 11.1 (±1.2) mm lateral to the AC-PC line, 1.5 (±1.8) mm below AC-PC and 4.5 (±1.6) mm posterior to the midpoint of the AC-PC line.

In all patients, chronic stimulation was monopolar, using a single contact of the quadripolar electrode chosen for the best motor improvement. The stimulation characteristics were as follows: mean pulse width 60 µs for the right side (SD  = 0) and 60 µs (SD  = 0) for the left side, mean frequency 138.1 Hz (SD  = 13.5) for the right side and 139.2 Hz (SD  = 13.0) for the left side, and mean voltage 2.2 V (SD  = 0.6) for the right side and 2.3 V (SD  = 0.6) for the left side.

4. Neuropsychological and ToM assessments

4.1 Neuropsychological background and psychiatric assessment.

Prior to the ToM assessment, a short neuropsychological and psychiatric battery was administered to the two groups (i.e. the PD group and the HC group). The battery included the MDRS [21] and a series of tests assessing executive functions: the Modified Wisconsin Card Sorting Test (MCST) [28], the Trail Making Test (TMT) [29], categorical and literal fluency tasks [30], the Action (Verb) Fluency task [31] and the Stroop test [32]. Depression was assessed using the MADRS [22]. The MADRS was chosen because of the predominance of psychic items over somatic ones, thus limiting interference with Parkinson's symptoms. Finally, the State-Trait Anxiety Inventory (STAI) [33] was used to assess anxiety.

4.2 Theory of Mind (ToM) task: Reading the Mind in the Eyes Test.

We used the same method for the present study as the one described in previous paper [34].

A French adaptation of the revised version of the Reading the Mind in the Eyes Test was used [35], [36]. We administered a shortened computerised version, comprising 17 photographs of the eye region of the faces of male and female actors. An example of the items in the Eyes test is available in Figure S1. In order to avoid a list effect between the pre- and post-treatment conditions, two versions of the Eyes test were used and counterbalanced. In the pre-treatment condition, half the participants were assessed with version “a” of the task and half with version “b”. In the post-treatment condition, the first half were assessed with version “b” and the second half with version “a”. The stimuli were depicted on separate slides and presented one after the other. Four adjectives corresponding to complex mental state descriptors (e.g. hateful, panicked) were printed on each slide, with one adjective in each corner and the photograph in the middle. One of these words (the target word) correctly described the mental state of the person in the photograph, while the others were included as foils. It was possible for these three foils to have the same emotional valence as the target word. Participants were required to decide which of the four words best described what the individual in the photograph was thinking or feeling, and there was no time limit. Participants were instructed to read the chosen word aloud. This task is regarded as an advanced ToM task, as participants have to try and put themselves in the shoes of the people shown in the photographs and attribute a relevant complex mental state to them. As a control task, participants judged the gender of the person shown in the photograph (gender attribution task). Before the test, participants read through a glossary which contained the meanings of the words describing the mental states. If necessary, the glossary could be used during the assessment [35].

Scoring: The test was scored by adding up the number of items (photographs) that were correctly identified by the participant, i.e. the number of correctly identified mental states. The maximum “Emotion score” on the test was therefore 17, which was converted into a percentage of correct responses. In addition, a control score was calculated by adding up the number of correct responses in the gender attribution task. The maximum “Gender score” on the test was therefore 17, and scores were once again converted into a percentage of correct responses.

Control task: To check that the early processing stages of face perception were intact, and to supplement the gender attribution task included in the Eyes test, the Benton Facial Recognition Test [37] was administered to all participants. This task requires participants to match pictures of the same individuals' faces taken from different angles and in different lighting conditions. None of the patients included in the study presented any aperceptive prosopagnosia, as measured by the Benton recognition test. In addition, to check that their verbal abilities were intact, the abridged version of the Token Test [38] and the verbal modality of the Pyramids and Palm Trees Test (PPTT) [39] were administered to all participants. The former assesses syntactic comprehension and requires participants to point to tokens corresponding to a verbal instruction (e.g. “Touch the large red square”), while the latter measures semantic access from words and requires participants to match one item (word) with one of two others (e.g. a pyramid with a palm tree or a pine tree). None of the patients included in the study presented any deficit either in syntactic comprehension, as measured by the Token Test, or in semantic access, as measured by the verbal PPTT.

5. PET imaging procedure

All subjects were studied using 18FDG PET in a resting state with eyes open. They underwent two scans: the first was performed 3 months before surgery and the second 3 months after surgery, with the stimulator switched on and with their antiparkinsonian medication. PET measurements were performed using a dedicated Discovery ST PET scanner (GEMS, Milwaukee, USA) in 2D mode, with an axial field of view of 15.2 cm. A 222-296 MBq injection of 18FDG was administered intravenously under standardized conditions (in a quiet, dimly-lit room with the patient's eyes and ears open). During acquisition, the patient's head was immobilized using a head-holder. A cross-laser system was used to achieve stable and reproducible positioning. A 20-minute 2D emission scan was performed 30 minutes post-injection and after X-ray based attenuation correction. These studies were performed with the subjects positioned at the centre of the FOV. Following scatter, dead time and random corrections, PET images were reconstructed using 2D filtered back-projection, providing 47 contiguous transaxial 3.75 mm-thick slices.

6. PET image transformation

We used the same method for the present study as the one described in previous papers [13], [40].

The data were analysed by means of statistical parametric mapping (SPM2 using software from the Wellcome Dept of Cognitive Neurology, London, UK) implemented in Matlab, Version 7 (Mathworks Inc., Sherborn, MA). Statistical parametric maps are spatially extended statistical processes that are used to characterize regionally specific effects in imaging data. They combine the general linear model (used to create the statistical map) and the theory of Gaussian fields to make statistical inferences about regional effects [41].

All subject images were first realigned and spatially normalized into standard stereotactic space in accordance with the Talairach and Tournoux atlas [42]. Affine transformation was performed to determine the 12 optimum parameters for registering the brain image to the template, and the subtle differences between the transformed image and the template were then removed using a nonlinear registration method. Finally, spatially normalized images were smoothed using a 12-mm full width at half-maximum isotropic Gaussian kernel to compensate for interindividual anatomical variability and to render the imaging data more normally distributed.

7. Statistical analysis

7.1 Neuropsychological and ToM data.

Because of the small sample sizes, nonparametric analyses were carried out. For the intergroup comparisons, paired comparisons were performed using the nonparametric Mann-Whitney U test for two independent groups (pre vs. HC, post vs. HC). For the intragroup comparisons, the Wilcoxon test for paired groups was used to measure the effect of the experimental condition (before vs. after surgery). Behavioural correlations between (1) neuropsychological background, control task and ToM, and (2) psychiatric tests and ToM, were assessed using Spearman's rank correlation coefficient. The p-value was significant if less than 0.05. Statistical analyses were performed using SPSS 15.0 software.

7.2 Metabolic-behavioural correlation studies.

First, the SPM software pinpointed significant modifications in cerebral metabolism in the 13 PD patients by comparing their 18FDG-PET scans pre- and post-surgery. As before, the effects of differences in overall metabolism were removed by normalizing each voxel to the same whole-brain value (proportional scaling in SPM). To determine the direct effects of STN stimulation, we used the “population main effect, 2 conditions, 1scan/cond (paired t test)” routine. Clusters of at least 20 contiguous voxels, with a threshold two-tailed p-value of 0.001 (corrected for multiple comparisons), were considered to be significantly different.

Second, the SPM software established correlations between post- vs. preoperative changes in the ToM score and post- vs. preoperative changes in brain glucose metabolism. To identify those regions that correlated significantly with impaired ToM, a general linear “single subject, covariates only” model was tested for every voxel, with the ToM score as a covariant. This yielded a regression coefficient which was then transformed into a t-value. Two t-tests were performed, revealing correlations between decreased cerebral glucose metabolism and impaired ToM, and between increased cerebral glucose metabolism and impaired ToM. Next, t -statistic SPMs were calculated and clusters of at least 30 contiguous voxels with a threshold at p<0.005, with multiple comparison correction, were considered to be significantly different.

All coordinates reported here are based on the Talairach atlas and were transformed by applying procedures developed by Matthew Brett (http://www.mrc-cbu.cam.ac.uk/Imaging).

Results

1. Clinical and motor results

A significant motor improvement was observed 3 months after surgery, as shown by the changes in the motor UPDRS score in the off-dopa condition (z = −2.66, p<.01). LED decreased significantly after surgery (z = 2.83, p<.01). It should be noted that analyses revealed a trend towards significance for the improvement in the off-dopa S&E score between the preoperative and postoperative conditions (z = −1.65, p = .09). Table 1 shows the effects of surgery on the motor symptoms.

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Table 1. Motor scores (mean ± SD) before (preoperative condition, baseline) and after (postoperative condition, M+3) STN DBS in PD patients.

https://doi.org/10.1371/journal.pone.0009919.t001

2. Neuropsychological background, psychiatric results and control task

Performances by the participants on the neuropsychological and psychiatric tests are presented in Table 2. In the preoperative condition, no significant difference was found between the PD and HC groups for neuropsychological background and psychiatric tests (all measures p>.1). In the postoperative condition, no significant difference was found between the PD and HC groups for neuropsychological background and psychiatric tests (all measures p>.1). Within the PD patient group, no significant difference was found between the preoperative and postoperative conditions for neuropsychological background and psychiatric tests, except for the number of categories and errors on the MCST (z = 1.89, p = .05 and z = −2.50, p = .01), and for Action (Verb) Fluency (z = −2.05, p = .04). It should be noted that analyses revealed a trend towards significance for the improvement in the number of perseverative errors on the MCST (z = −1.72, p = .08) and in the categorical fluency score between the preoperative and postoperative conditions (Z = −1.75, p = .08). No significant difference was found between the PD and HC groups for the Benton Facial Recognition Test in either the preoperative condition (U = 70.50, p = .4) or the postoperative one (U = 74.00, p = .6). Within the PD patient group, no significant difference was found between the preoperative and postoperative conditions for the Benton recognition test (z = 0.00, p = .1).

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Table 2. Performances of PD patients (mean ± SD) before (preoperative condition, M-3) and after (postoperative condition, M+3) STN DBS, and of HC, on neuropsychological tests and ToM task (i.e. Reading the Mind in the Eyes Test).

https://doi.org/10.1371/journal.pone.0009919.t002

3. Reading the Mind in the Eyes Test results

Participants' performances on the ToM task are presented in Table 2. In the preoperative condition, no significant difference was found between the PD and HC groups for any of the variables of the Reading the Mind in the Eyes Test (all measures p>.5). In the postoperative condition, a significant difference was found between the PD and HC groups for the Emotion score of the Reading the Mind in the Eyes Test (U = 42.50, p = .03). There was no significant difference between the PD and HC groups in the postoperative condition for the Gender score of the Reading the Mind in the Eyes test (U = 63.00, p = .3). Within the PD patient group, analyses revealed a significant difference between the pre- and postoperative conditions for the Emotion score of the Eyes test (z = −2.14, p = .03). There was no significant difference between the pre- and postoperative conditions for the Gender score of the Eyes test (z = −1.24, p = .2).

4. Behavioural correlations

4.1 Correlation between Emotion score of the Reading the Mind in the Eyes Test and motor results.

No significant correlation was found between the variations in the motor scale scores (UPDRS, S&E and H&Y) between the pre- and postoperative conditions and the variation in the Emotion score of the Reading the Mind in the Eyes Test (all measures p>1).

4.2 Correlation between Emotion score of the Reading the Mind in the Eyes Test and levodopa equivalent dose.

No significant correlation was found between the variation in LED between the pre- and postoperative conditions and the variation in the Emotion score of the Reading the Mind in the Eyes Test (all measures p>1).

4.3 Correlation between Emotion score of the Reading the Mind in the Eyes Test and neuropsychological results.

No significant correlation was found between the variation in the neuropsychological data (MDRS, MCST, TMT, verbal fluency tasks, Stroop test, Token Test, verbal PPTT, Benton Facial Recognition Test) between the pre- and postoperative conditions and the variation in the Emotion score of the Reading the Mind in the Eyes Test (all measures p>1).

4.4 Correlation between Emotion score of the Reading the Mind in the Eyes Test and psychiatric results.

No significant correlation was found between the variation in the psychiatric data (MADRS and STAI A&B) between the pre- and postoperative conditions and the variation in the Emotion score of the Reading the Mind in the Eyes Test (all measures p>1).

5. Cerebral metabolic results

5.1 First step: differences between pre- and postoperative on-stimulation conditions.

In our analysis of postoperative decreases in metabolism, three clusters were significant at p<0.001, with correction for multiple comparisons. Hypometabolism was observed in the bilateral anterior cingulate gyrus (right and left Brodmann area (BA) 24) and left superior frontal gyrus (BA 8 and 9).

When we studied postoperative increases in metabolism, two clusters were found to be significant at p<0.001, with multiple-comparison correction. Hypermetabolism was observed in the bilateral cerebellum and right inferior parietal lobule (BA 40).

5.2 Second step: correlational studies.

The correlations between decreased cerebral glucose metabolism and impaired ToM are summarized in Table 3. Correlations were observed in the bilateral cingulate gyrus (BA 31), right middle frontal gyrus (BA 8, 9 and 10), left middle frontal gyrus (BA 6), temporal lobe (fusiform gyrus, BA 20), bilateral parietal lobe (right BA 3 and right and left BA 7), and bilateral occipital lobe (BA 19) (Figure 1A).

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Figure 1. Statistical parametric maps displaying correlations between cerebral glucose metabolism and Eyes test scores in STN DBS patients.

(A) correlations between decreased cerebral glucose metabolism and impaired ToM, and (B) correlations between increased cerebral glucose metabolism and impaired ToM. Significant differences (two-tailed p<0.005, k>30) are shown in three orthogonal views.

https://doi.org/10.1371/journal.pone.0009919.g001

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Table 3. Summary of the analysis of correlations between decreased cerebral glucose metabolism and impaired performances on the emotion recognition task of the Reading the Mind in the Eyes Test (p<0.005, k>30).

https://doi.org/10.1371/journal.pone.0009919.t003

The correlations between increased cerebral glucose metabolism and impaired ToM are summarized in Table 4. Correlations were observed in the left superior temporal gyrus (BA 22 and BA 20) and left inferior frontal gyrus (BA 13 and 47), and in the right inferior frontal gyrus (BA 47) (Figure 1B).

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Table 4. Summary of the analysis of correlations between increased cerebral glucose metabolism and impaired performances on the emotion recognition task of the Reading the Mind in the Eyes Test (p<0.005, k>30).

https://doi.org/10.1371/journal.pone.0009919.t004

The scatter plots showing the voxel values of each significant cluster and the correlations between these values and the ToM scores are available as supplementary material (Figure S2A-H).

Discussion

The aim of the present study was to investigate the effects of STN DBS on the ToM abilities of PD patients. We hypothesized that STN DBS impairs ToM because of the overlap between the limbic system, which is modulated by STN DBS in PD, and the brain network that mediates ToM. A further aim of this study was to correlate these ToM modifications with changes in cerebral glucose metabolism. Results confirmed our initial hypothesis and provided a preliminary demonstration of ToM impairment following STN DBS. Postoperative PD performances were significantly worse than HC and preoperative PD performances on the emotion recognition task of the Eyes test, whereas there was no significant difference between preoperative PD and HC performances. Conversely, in the postoperative condition, the PD patients scored within the normal range on the gender attribution task of the Eyes test, which was used as a control task. As far as the metabolic results are concerned, there were correlations between decreased cerebral glucose metabolism and impaired ToM in several cortical areas: bilateral cingulate gyrus (BA 31), right middle frontal gyrus (BA 8, 9 and 10) left middle frontal gyrus (BA 6), temporal lobe (fusiform gyrus, BA 20), bilateral parietal lobe (right BA 3 and right and left BA 7) and bilateral occipital lobe (BA 19). There were also correlations between increased cerebral glucose metabolism and impaired ToM in the left superior temporal gyrus (BA 22 and BA 20) left inferior frontal gyrus (BA 13 and 47) and right inferior frontal gyrus (BA 47). Furthermore, in this series of patients, we were able to confirm our previous finding of metabolic modifications following stimulation, with hypometabolism in the bilateral anterior cingulate gyrus (right and left BA 24) and left superior frontal gyrus (BA 8 and 9), and hypermetabolism in the bilateral cerebellum and right inferior parietal lobule (BA 40) [13].

As far as behavioural data are concerned, our present result seems to confirm that STN DBS affects the ability to select mental state terms to describe the feelings conveyed by photographs of eyes and, by so doing, impairs the ability to infer the mental states of others. This is in line with previous studies that have reported reduced recognition of emotional expressions from faces following STN DBS [4], [13], [43], [44], [45], [46].

Our present metabolic results indicate that ToM is subtended by a broadly distributed network. Previous animal, neuroimaging and neuropsychological studies investigating the neural substrates that mediate ToM responses [47] have consistently suggested that complex cognitive functions, such as ToM, probably involve activity in multiple brain regions rather than being restricted to a single “critical” one. Brothers [48] hypothesised that the primate social brain is made up of three core regions: the orbitofrontal cortex, superior temporal sulcus and amygdala. In Carrington and Bailey's review of fMRI studies exploring the neural bases of ToM [16], the authors found that the medial prefrontal cortex, orbitofrontal cortex and superior temporal sulcus emerged as “core” regions activated by ToM tasks, whereas the amygdala appeared to be less consistently activated; the temporoparietal junction and anterior and paracingulate cortices also appear to be “core” ToM regions. Interestingly, Carrington and Bailey [16] calculated the percentage of studies in which modulation of specific brain areas was observed during ToM tasks. Medial prefrontal cortex activity (BA 8, 9 and 10) was reported in 88% of studies, dorsolateral prefrontal cortex activity (BA 45, 46 and 47) in 35%, precuneus activity (BA 7) in 28%, superior temporal gyrus activity (BA 22) in 45%, and prefrontal cortex activity (BA 13 and 47) in 35%. A number of previous neuroimaging studies have explored the neural bases of ToM using the same Reading the Mind in the Eyes Test that we used in the present study [49], [50]. Using fMRI in normal adults, Baron-Cohen and colleagues (1999) reported activity in left frontal regions, including the dorsolateral prefrontal cortex (BA 44, 45, 46 and 47), medial frontal cortex (BA 8, 9 and 10), and supplementary motor area. Activity was also reported in bilateral temporoparietal regions, the insula, and left amydgalar and hippocampal regions. Hirao and colleagues (2008) investigated the relationship between ToM impairment in schizophrenic patients and structural brain abnormalities using voxel-based morphometry. Poor performances were recorded on the Eyes test, in line with the literature [51], [52], [53], [54], [55], [56]. This ToM deficit was associated with grey matter reduction in the left ventrolateral prefrontal cortex in the patient group, suggesting that impairment of this structure is a key pathology accounting for the difficulties faced by schizophrenic patients in inferring the mental states of others. In addition, and consistent with the evidence from other neuroimaging studies as well as our own, acquired Eyes test deficits have been reported following damage to the frontal cortex in patients with frontal lobe epilepsy [57] or the frontal variant of frontotemporal dementia [58], [59], [60]. Amygdala damage has also been associated with impaired ToM, as measured by the Eyes test [61].

When we compared the present results with those of our previous investigations of cognitive-metabolic correlations between recognition of facial expressions and 18FDG-PET in STN DBS PD patients, we found that we had highlighted a more broadly distributed brain network this time. We believe that there are several reasons why such large brain regions were identified in the present study. At the behavioural level, ToM encompasses several elementary processes. The same is true at the cerebral level, insofar as ToM relies on several different brain structures. Although each elementary structure is specific to a given process, the involvement of all these structures together would appear to be specific to ToM. As indicated earlier, this is consistent with Brothers' theory that social cognition is subtended by a network of interconnected regions, as well as with a recent review of fMRI studies exploring the neural bases of ToM [16].

In order to avoid specific biases, the two participant groups were statistically comparable for age and education level. Similarly, in order to rule out an overall visuospatial information processing deficit that has already been described in PD [62], the Benton Facial Recognition Test [37] was administered to all participants in addition to the control task included in the Eyes test (i.e. the gender attribution task). As the Eyes test involves lexical access, verbal abilities were also evaluated: syntactic comprehension was assessed with the Token Test and semantic access from words with the PPTT. All the participants performed within the normal range (Table 2). A general cognitive deficit resulting from brain damage [63] between the pre- and postoperative situations can be excluded, given the absence of any significant difference in performances on the general neuropsychological tests. In addition, the absence of any significant correlation between variations in ToM performances and variations in executive scores indicates that possible impairment of the patients' executive functioning cannot explain the modifications in ToM performances in the postoperative condition. Similarly, the absence of any significant correlation between variations in ToM performances and mood score variations (MADRS and STAI) suggests that neither depression nor anxiety can account for the modifications in ToM performances in the postoperative condition. Finally, the absence of any significant correlation between variations in ToM performances and LED suggests that these two parameters are completely independent. Taken together, these data lead us to conclude that STN DBS itself may contribute to the ToM impairment observed in the postoperative condition.

There were several limitations to the present study that need to be acknowledged and addressed. First, the task we administered, the Eyes test, has been poorly described in terms of the cognitive processes it involves in addition to ToM [34]. Accordingly, even though we took care to assess verbal abilities and the PD patients performed within the normal range both before and after surgery (Table 2), failure on this task may have stemmed not only from a deficit in the decoding of the mental state but also from a deficit in access to explicit lexical knowledge of mental state descriptors. Moreover, there is an overlap between the cerebral network that subtends verbal and nonverbal tasks involving ToM [16] and the one that subtends tasks requiring the manipulation of social concepts [64]. As a consequence, it is possible that the cerebral network identified in the present study was partly subtended by social lexicon processes rather than by ToM per se. Second, as our design did not feature a crossover scheme [65] including a postoperative condition with the stimulator turned off, we cannot assign the changes we observed (either at the neural or the behavioral level) to stimulation per se. For example, Pourfar and colleagues [66] have recently suggested (with N = 6 PD patients) that the microlesion effect of the surgery may be sufficient to trigger changes in brain activity when the stimulator is turned off, as long as 20 months after surgery. In the present study, a similar microlesion effect may have been behind the metabolic and behavioral changes we observed in the patients. Nevertheless, the results obtained by Pourfar and colleagues [66] could also reflect a longlasting effect of the stimulation rather than any microlesion effect. Current observations suggest that a one-hour interval (which is the interval that Pourfar and colleagues [66] chose between the time when they turned off the stimulator and the time when they conducted the scan) is not long enough to dispel the effects of chronic stimulation on motor symptoms. This hypothesis was corroborated by a study conducted by our team, where we investigated the recognition of facial emotions by comparing the results of “off-stim” versus “on-stim” assessments (with a one-hour interval) in PD patients (N = 15) [46]. We failed to find any difference between the two conditions: in the postoperative condition, the patterns of performances on the recognition of facial expressions were identical both before and after the stimulator had been turned off. The longlasting effect of the stimulation also seems to be supported by recent neurophysiological evidence [67]. Here, the authors recorded local field potentials (LFPs) from the STN (with N = 16 PD patients) and showed that longer periods of DBS reduced beta power for longer, suggesting that there may be long-lasting functional changes to networks in the STN in PD after chronic DBS. Finally, it should be noted that Table 3 lists several clusters with exactly the same voxel count (e.g. 5877). SPM yields significant results with different cluster sizes. Some are fairly voluminous, such as the 5877 cluster. This cluster features multiple anatomical regions, including the right parietal lobe, postcentral gyrus (BA 3), right parietal lobe, precuneus (BA 7), right and left posterior cingulate gyrus (BA 31), and left frontal lobe and left middle frontal gyrus (BA6). This explains why different anatomical locations belonging to the same cluster have the same voxel count.

The ToM impairments observed in the present study may therefore have been the result of a dysfunction induced either by STN microlesions or by STN stimulation per se within the broadly distributed neuronal network that subtends ToM abilities, although it remains to be said whether the STN itself actually belongs to this network. In addition, the mechanisms by which STN stimulation interferes with the functioning of the brain areas that mediate ToM have yet to be determined. Given the small size of the STN, the stimulating current flow may not be restricted to the targeted sensorimotor STN compartment, but may also affect other STN compartments, in particular the limbic one, as well as the closely connected limbic territory of the basal ganglia and afferent or efferent connections to subcortical and cortical limbic regions, in line with the findings of several neuroimaging studies [10], [11], [13], [40], [68]. Another possible explanation, which in no way precludes the previous ones, is that the functional partitioning of the STN is not absolute, with probable interactions between its subterritories [5], [69]. As some authors have suggested, the STN may act as an integrator, combining the motor, cognitive and emotional components of behaviour. This may explain why stimulation of this core structure has effects not only on motor functions but also on limbic and/or associative ones [5].

Our study is, to our knowledge, the first to suggest that STN stimulation affects ToM abilities and to correlate this impairment with cerebral metabolic changes. It provides a preliminary account of the modulation induced by stimulation of a broadly distributed neuronal network of cerebral areas mediating ToM, although the exact nature of the STN's role within this network remains to be elucidated. These results confirm the role played by the STN in the human limbic system and suggest that this basal ganglia structure makes a key contribution to social cognition.

Supporting Information

Figure S1.

Example of items in the Eyes test.

https://doi.org/10.1371/journal.pone.0009919.s001

(0.21 MB TIF)

Figure S2.

Scatter plots of the correlations between voxel values of each significant cluster and the ToM scores. A) Correlations between increased cerebral glucose metabolism and impaired ToM - Cluster 718 (Left temporal lobe, superior temporal gyrus, BA 22, Left temporal gyrus, subgyral, BA 20), (B) Correlations between increased cerebral glucose metabolism and impaired ToM - Cluster 220 (Left frontal lobe, inferior frontal gyrus, BA 13, Left frontal lobe, middle frontal gyrus, BA 47), (C) Correlations between increased cerebral glucose metabolism and impaired ToM - Cluster 77 (Right frontal lobe, inferior frontal gyrus, BA 47), (D) Correlations between decreased cerebral glucose metabolism and impaired ToM - Cluster 5877 (Right parietal lobe, postcentral gyrus, BA 3, Right parietal lobe, precuneus, BA 7, Limbic lobe, right posterior cingulate gyrus, BA 31, Left frontal lobe, left middle frontal gyrus, BA6, Left parietal lobe, precuneus, BA 7, Limbic lobe, left posterior cingulate gyrus, BA 31), (E) Correlations between decreased cerebral glucose metabolism and impaired ToM - Cluster 2204 (Right frontal lobe, middle frontal gyrus, BA 9, Right frontal lobe, middle frontal gyrus, BA 8), (F) Correlations between decreased cerebral glucose metabolism and impaired ToM - Cluster 62 (Left occipital lobe, cuneus, BA 19), (G) Correlations between decreased cerebral glucose metabolism and impaired ToM - Cluster 92 (Right occipital lobe, cuneus, BA 19), (H) Correlations between decreased cerebral glucose metabolism and impaired ToM - Cluster 33 (Right frontal lobe, middle frontal gyrus, BA 10).

https://doi.org/10.1371/journal.pone.0009919.s002

(0.13 MB PPT)

Acknowledgments

We would like to thank the patients and normal controls for giving up their time to take part in this study, as well as Mme Wiles-Portier for preparing the manuscript.

Author Contributions

Conceived and designed the experiments: JP FLJ JMR SD MV. Performed the experiments: JP FLJ CH TD DD PS SD TR BM MV. Analyzed the data: JP FLJ MV. Contributed reagents/materials/analysis tools: JP FLJ CH JMR MV. Wrote the paper: JP FLJ CH MV.

References

  1. 1. Kleiner-Fisman G, Fisman DN, Zamir O, Dostrovsky JO, Sime E, et al. (2004) Subthalamic nucleus deep brain stimulation for parkinson's disease after successful pallidotomy: clinical and electrophysiological observations. Mov Disord 19: 1209–1214.G. Kleiner-FismanDN FismanO. ZamirJO DostrovskyE. Sime2004Subthalamic nucleus deep brain stimulation for parkinson's disease after successful pallidotomy: clinical and electrophysiological observations.Mov Disord1912091214
  2. 2. Temel Y, Blokland A, Steinbusch HW, Visser-Vandewalle V (2005) The functional role of the subthalamic nucleus in cognitive and limbic circuits. Prog Neurobiol 76: 393–413.Y. TemelA. BloklandHW SteinbuschV. Visser-Vandewalle2005The functional role of the subthalamic nucleus in cognitive and limbic circuits.Prog Neurobiol76393413
  3. 3. Péron J, Grandjean D, Le Jeune F, Sauleau P, Haegelen C, et al. (2010) Recognition of emotional prosody is altered after subthalamic nucleus deep brain stimulation in Parkinson's disease. Neuropsychologia 48(4): 1053–1062.J. PéronD. GrandjeanF. Le JeuneP. SauleauC. Haegelen2010Recognition of emotional prosody is altered after subthalamic nucleus deep brain stimulation in Parkinson's disease.Neuropsychologia48(4)10531062
  4. 4. Péron J, Biseul I, Leray E, Vicente S, Le Jeune F, et al. (2010) Subthalamic nucleus stimulation affects fear and sadness recognition in Parkinson's disease. Neuropsychology 24: 1–8.J. PéronI. BiseulE. LerayS. VicenteF. Le Jeune2010Subthalamic nucleus stimulation affects fear and sadness recognition in Parkinson's disease.Neuropsychology2418
  5. 5. Mallet L, Schupbach M, N'Diaye K, Remy P, Bardinet E, et al. (2007) Stimulation of subterritories of the subthalamic nucleus reveals its role in the integration of the emotional and motor aspects of behavior. Proc Natl Acad Sci U S A 104: 10661–10666.L. MalletM. SchupbachK. N'DiayeP. RemyE. Bardinet2007Stimulation of subterritories of the subthalamic nucleus reveals its role in the integration of the emotional and motor aspects of behavior.Proc Natl Acad Sci U S A1041066110666
  6. 6. Parent A, Hazrati LN (1995) Functional anatomy of the basal ganglia. I. The cortico-basal ganglia-thalamo-cortical loop. Brain Res Brain Res Rev 20: 91–127.A. ParentLN Hazrati1995Functional anatomy of the basal ganglia. I. The cortico-basal ganglia-thalamo-cortical loop.Brain Res Brain Res Rev2091127
  7. 7. Alexander GE, DeLong MR, Strick PL (1986) Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu Rev Neurosci 9: 357–381.GE AlexanderMR DeLongPL Strick1986Parallel organization of functionally segregated circuits linking basal ganglia and cortex.Annu Rev Neurosci9357381
  8. 8. Alexander GE, Crutcher MD, DeLong MR (1990) Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions. Prog Brain Res 85: 119–146.GE AlexanderMD CrutcherMR DeLong1990Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions.Prog Brain Res85119146
  9. 9. Thobois S, Hotton GR, Pinto S, Wilkinson L, Limousin-Dowsey P, et al. (2007) STN stimulation alters pallidal-frontal coupling during response selection under competition. J Cereb Blood Flow Metab 27: 1173–1184.S. ThoboisGR HottonS. PintoL. WilkinsonP. Limousin-Dowsey2007STN stimulation alters pallidal-frontal coupling during response selection under competition.J Cereb Blood Flow Metab2711731184
  10. 10. Schroeder U, Kuehler A, Lange KW, Haslinger B, Tronnier VM, et al. (2003) Subthalamic nucleus stimulation affects a frontotemporal network: a PET study. Ann Neurol 54: 445–450.U. SchroederA. KuehlerKW LangeB. HaslingerVM Tronnier2003Subthalamic nucleus stimulation affects a frontotemporal network: a PET study.Ann Neurol54445450
  11. 11. Schroeder U, Kuehler A, Haslinger B, Erhard P, Fogel W, et al. (2002) Subthalamic nucleus stimulation affects striato-anterior cingulate cortex circuit in a response conflict task: a PET study. Brain 125: 1995–2004.U. SchroederA. KuehlerB. HaslingerP. ErhardW. Fogel2002Subthalamic nucleus stimulation affects striato-anterior cingulate cortex circuit in a response conflict task: a PET study.Brain12519952004
  12. 12. Kalbe E, Voges J, Weber T, Haarer M, Baudrexel S, et al. (2009) Frontal FDG-PET activity correlates with cognitive outcome after STN-DBS in Parkinson disease. Neurology 72: 42–49.E. KalbeJ. VogesT. WeberM. HaarerS. Baudrexel2009Frontal FDG-PET activity correlates with cognitive outcome after STN-DBS in Parkinson disease.Neurology724249
  13. 13. Le Jeune F, Péron J, Biseul I, Fournier S, Sauleau P, et al. (2008) Subthalamic nucleus stimulation affects orbitofrontal cortex in facial emotion recognition: a PET study. Brain 131: 1599–1608.F. Le JeuneJ. PéronI. BiseulS. FournierP. Sauleau2008Subthalamic nucleus stimulation affects orbitofrontal cortex in facial emotion recognition: a PET study.Brain13115991608
  14. 14. Geday J, Ostergaard K, Gjedde A (2006) Stimulation of subthalamic nucleus inhibits emotional activation of fusiform gyrus. Neuroimage 33: 706–714.J. GedayK. OstergaardA. Gjedde2006Stimulation of subthalamic nucleus inhibits emotional activation of fusiform gyrus.Neuroimage33706714
  15. 15. Premack D, Woodruff G (1978) Chimpanzee problem-solving: a test for comprehension. Science 202: 532–535.D. PremackG. Woodruff1978Chimpanzee problem-solving: a test for comprehension.Science202532535
  16. 16. Carrington SJ, Bailey AJ (2009) Are there theory of mind regions in the brain? A review of the neuroimaging literature. Hum Brain Mapp 30: 2313–2335.SJ CarringtonAJ Bailey2009Are there theory of mind regions in the brain? A review of the neuroimaging literature.Hum Brain Mapp3023132335
  17. 17. Hughes AJ, Daniel SE, Kilford L, Lees AJ (1992) Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 55: 181–184.AJ HughesSE DanielL. KilfordAJ Lees1992Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.J Neurol Neurosurg Psychiatry55181184
  18. 18. Welter ML, Houeto JL, Tezenas du Montcel S, Mesnage V, Bonnet AM, et al. (2002) Clinical predictive factors of subthalamic stimulation in Parkinson's disease. Brain 125: 575–583.ML WelterJL HouetoS. Tezenas du MontcelV. MesnageAM Bonnet2002Clinical predictive factors of subthalamic stimulation in Parkinson's disease.Brain125575583
  19. 19. Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9: 97–113.RC Oldfield1971The assessment and analysis of handedness: the Edinburgh inventory.Neuropsychologia997113
  20. 20. Lozano AM, Lang AE, Galvez-Jimenez N, Miyasaki J, Duff J, et al. (1995) Effect of GPi pallidotomy on motor function in Parkinson's disease. Lancet 25: 1383–1387.AM LozanoAE LangN. Galvez-JimenezJ. MiyasakiJ. Duff1995Effect of GPi pallidotomy on motor function in Parkinson's disease.Lancet2513831387
  21. 21. Mattis S (1988) Dementia rating scale. S. Mattis1988Dementia rating scale.Ressources Inc Odessa, F.L: Psychological Assessment. Ressources Inc Odessa, F.L: Psychological Assessment.
  22. 22. Montgomery S, Asberg M (1979) A new depression scale designed to be sensitive to change. British Journal of Psychiatry 134: 382–389.S. MontgomeryM. Asberg1979A new depression scale designed to be sensitive to change.British Journal of Psychiatry134382389
  23. 23. Langston JW, Widner H, Goetz CG, Brooks D, Fahn S, et al. (1992) Core assessment program for intracerebral transplantations (CAPIT). Mov Disord 7: 2–13.JW LangstonH. WidnerCG GoetzD. BrooksS. Fahn1992Core assessment program for intracerebral transplantations (CAPIT).Mov Disord7213
  24. 24. Fahn S, Elton R (1987) UPDRS Development committee. Unified Parkinson's disease Rating Scale. Recent development in Parkinson's disease Vol 2: 153–163.S. FahnR. Elton1987UPDRS Development committee. Unified Parkinson's disease Rating Scale.Recent development in Parkinson's disease Vol2153163
  25. 25. Hoehn MM, Yahr MD (1967) Parkinsonism: onset, progression and mortality. Neurology 17: 427–442.MM HoehnMD Yahr1967Parkinsonism: onset, progression and mortality.Neurology17427442
  26. 26. Schwab R, England AProjection techniques for evaluating surgery in Parkinson's Disease. pp. 152–157.R. SchwabA. EnglandProjection techniques for evaluating surgery in Parkinson's Disease.1521571969; Royal College of Surgeons in Edinburgh. E. & S. Livingstone Ltd. 1969; Royal College of Surgeons in Edinburgh. E. & S. Livingstone Ltd.
  27. 27. Benabid AL, Krack PP, Benazzouz A, Limousin P, Koudsie A, et al. (2000) Deep brain stimulation of the subthalamic nucleus for Parkinson's disease: methodologic aspects and clinical criteria. Neurology 55: S40–44.AL BenabidPP KrackA. BenazzouzP. LimousinA. Koudsie2000Deep brain stimulation of the subthalamic nucleus for Parkinson's disease: methodologic aspects and clinical criteria.Neurology55S4044
  28. 28. Nelson H (1976) A modified card sorting test sensitive to frontal lobe defects. Cortex 12: 313–324.H. Nelson1976A modified card sorting test sensitive to frontal lobe defects.Cortex12313324
  29. 29. Reitan R (1958) Validity of the trail making test as an indication of organic brain damage. Percept Motor Skill 8: 271–276.R. Reitan1958Validity of the trail making test as an indication of organic brain damage.Percept Motor Skill8271276
  30. 30. Cardebat D, Doyon B, Puel M, Goulet P, Joanette Y (1990) Evocation lexicale formelle et sémantique chez des sujets normaux: Performances et dynamiques de production en fonction du sexe, de l'âge et du niveau d'étude. Acta Neurologica Belgica 90: 207–217.D. CardebatB. DoyonM. PuelP. GouletY. Joanette1990Evocation lexicale formelle et sémantique chez des sujets normaux: Performances et dynamiques de production en fonction du sexe, de l'âge et du niveau d'étude.Acta Neurologica Belgica90207217
  31. 31. Woods SP, Scott JC, Sires DA, Grant I, Heaton RK, et al. (2005) Action (verb) fluency: test-retest reliability, normative standards, and construct validity. J Int Neuropsychol Soc 11: 408–415.SP WoodsJC ScottDA SiresI. GrantRK Heaton2005Action (verb) fluency: test-retest reliability, normative standards, and construct validity.J Int Neuropsychol Soc11408415
  32. 32. Stroop J (1935) Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18: 643–662.J. Stroop1935Studies of interference in serial verbal reactions.Journal of Experimental Psychology18643662
  33. 33. Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA (1993) Manuel de l'inventaire d'anxiété état-trait forme Y (STAI-Y). Paris: Editions du Centre de Psychologie Appliquée. CD SpielbergerRL GorsuchR. LushenePR VaggGA Jacobs1993Manuel de l'inventaire d'anxiété état-trait forme Y (STAI-Y).ParisEditions du Centre de Psychologie Appliquée
  34. 34. Péron J, Vicente S, Leray E, Drapier S, Drapier D, et al. (2009) Are dopaminergic pathways involved in theory of mind? A study in Parkinson's disease. Neuropsychologia 47: 406–414.J. PéronS. VicenteE. LerayS. DrapierD. Drapier2009Are dopaminergic pathways involved in theory of mind? A study in Parkinson's disease.Neuropsychologia47406414
  35. 35. Baron-Cohen S, Wheelwright S, Hill J, Raste Y, Plumb I (2001) The “Reading the Mind in the Eyes” Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. J Child Psychol Psychiatry 42: 241–251.S. Baron-CohenS. WheelwrightJ. HillY. RasteI. Plumb2001The “Reading the Mind in the Eyes” Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism.J Child Psychol Psychiatry42241251
  36. 36. Cohen R, Berardi A, Le Vaou PR. CohenA. BerardiP. Le VaouFrench adapation of two “theory of mind” tests for adults: a study with normal adults and patients with schizophrenia; 2006; Toulouse, France. French adapation of two “theory of mind” tests for adults: a study with normal adults and patients with schizophrenia; 2006; Toulouse, France.
  37. 37. Benton A, Hamsher K, Varney N, Spreen O (1983) Contributions to neuropsychological assessment: a clinical manual. Oxford Oxford University Press. A. BentonK. HamsherN. VarneyO. Spreen1983Contributions to neuropsychological assessment: a clinical manual.Oxford Oxford University Press
  38. 38. De Renzi E, Vignolo LA (1962) The token test: A sensitive test to detect receptive disturbances in aphasics. Brain 85: 665–678.E. De RenziLA Vignolo1962The token test: A sensitive test to detect receptive disturbances in aphasics.Brain85665678
  39. 39. Howard K, Patterson (1992) The Pyramids and Palm Trees Test. Bury St Edmunds: Thames Valley Test Company. K. HowardPatterson1992The Pyramids and Palm Trees Test.Bury St EdmundsThames Valley Test Company
  40. 40. Le Jeune F, Drapier D, Bourguignon A, Péron J, Mesbah H, et al. (2009) Subthalamic nucleus stimulation induces apathy: a PET study. Neurology 73: 1746–1751.F. Le JeuneD. DrapierA. BourguignonJ. PéronH. Mesbah2009Subthalamic nucleus stimulation induces apathy: a PET study.Neurology7317461751
  41. 41. Friston K, Holmes A, Worsly K, Poline J, Frith C, et al. (1995) Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping 2: 189–210.K. FristonA. HolmesK. WorslyJ. PolineC. Frith1995Statistical parametric maps in functional imaging: a general linear approach.Human Brain Mapping2189210
  42. 42. Talairach J, Tournoux P (1988) Co-planar steretoxic atlas of the human brain : 3-dimensional proportional system: an approach to cerebral imaging. New York: Theme Medical. J. TalairachP. Tournoux1988Co-planar steretoxic atlas of the human brain : 3-dimensional proportional system: an approach to cerebral imaging.New YorkTheme Medical
  43. 43. Schroeder U, Kuehler A, Hennenlotter A, Haslinger B, Tronnier VM, et al. (2004) Facial expression recognition and subthalamic nucleus stimulation. J Neurol Neurosurg Psychiatry 75: 648–650.U. SchroederA. KuehlerA. HennenlotterB. HaslingerVM Tronnier2004Facial expression recognition and subthalamic nucleus stimulation.J Neurol Neurosurg Psychiatry75648650
  44. 44. Dujardin K, Blairy S, Defebvre L, Krystkowiak P, Hess U, et al. (2004) Subthalamic nucleus stimulation induces deficits in decoding emotional facial expressions in Parkinson's disease. J Neurol Neurosurg Psychiatry 75: 202–208.K. DujardinS. BlairyL. DefebvreP. KrystkowiakU. Hess2004Subthalamic nucleus stimulation induces deficits in decoding emotional facial expressions in Parkinson's disease.J Neurol Neurosurg Psychiatry75202208
  45. 45. Drapier D, Péron J, Leray E, Sauleau P, Biseul I, et al. (2008) Emotion recognition impairment and apathy after subthalamic nucleus stimulation in Parkinson's disease have separate neural substrates. Neuropsychologia 46: 2796–2801.D. DrapierJ. PéronE. LerayP. SauleauI. Biseul2008Emotion recognition impairment and apathy after subthalamic nucleus stimulation in Parkinson's disease have separate neural substrates.Neuropsychologia4627962801
  46. 46. Biseul I, Sauleau P, Haegelen C, Trebon P, Drapier D, et al. (2005) Fear recognition is impaired by subthalamic nucleus stimulation in Parkinson's disease. Neuropsychologia 43: 1054–1059.I. BiseulP. SauleauC. HaegelenP. TrebonD. Drapier2005Fear recognition is impaired by subthalamic nucleus stimulation in Parkinson's disease.Neuropsychologia4310541059
  47. 47. Carrington SJ, Bailey AJ (2008) Are there theory of mind regions in the brain? A review of the neuroimaging literature. Hum Brain Mapp 30: 2313–2335.SJ CarringtonAJ Bailey2008Are there theory of mind regions in the brain? A review of the neuroimaging literature.Hum Brain Mapp3023132335
  48. 48. Brothers L (1990) The social brain: a project for integrating primate behavior and neurophysiology in a new domain. Concepts in Neuroscience 1: 27–51.L. Brothers1990The social brain: a project for integrating primate behavior and neurophysiology in a new domain.Concepts in Neuroscience12751
  49. 49. Baron-Cohen S, Ring HA, Wheelwright S, Bullmore ET, Brammer MJ, et al. (1999) Social intelligence in the normal and autistic brain: an fMRI study. Eur J Neurosci 11: 1891–1898.S. Baron-CohenHA RingS. WheelwrightET BullmoreMJ Brammer1999Social intelligence in the normal and autistic brain: an fMRI study.Eur J Neurosci1118911898
  50. 50. Hirao K, Miyata J, Fujiwara H, Yamada M, Namiki C, et al. (2008) Theory of mind and frontal lobe pathology in schizophrenia: a voxel-based morphometry study. Schizophr Res 105: 165–174.K. HiraoJ. MiyataH. FujiwaraM. YamadaC. Namiki2008Theory of mind and frontal lobe pathology in schizophrenia: a voxel-based morphometry study.Schizophr Res105165174
  51. 51. Russell TA, Rubia K, Bullmore ET, Soni W, Suckling J, et al. (2000) Exploring the social brain in schizophrenia: left prefrontal underactivation during mental state attribution. Am J Psychiatry 157: 2040–2042.TA RussellK. RubiaET BullmoreW. SoniJ. Suckling2000Exploring the social brain in schizophrenia: left prefrontal underactivation during mental state attribution.Am J Psychiatry15720402042
  52. 52. Kington JM, Jones LA, Watt AA, Hopkin EJ, Williams J (2000) Impaired eye expression recognition in schizophrenia. J Psychiatr Res 34: 341–347.JM KingtonLA JonesAA WattEJ HopkinJ. Williams2000Impaired eye expression recognition in schizophrenia.J Psychiatr Res34341347
  53. 53. Kelemen O, Erdelyi R, Pataki I, Benedek G, Janka Z, et al. (2005) Theory of mind and motion perception in schizophrenia. Neuropsychology 19: 494–500.O. KelemenR. ErdelyiI. PatakiG. BenedekZ. Janka2005Theory of mind and motion perception in schizophrenia.Neuropsychology19494500
  54. 54. Irani F, Platek SM, Panyavin IS, Calkins ME, Kohler C, et al. (2006) Self-face recognition and theory of mind in patients with schizophrenia and first-degree relatives. Schizophr Res 88: 151–160.F. IraniSM PlatekIS PanyavinME CalkinsC. Kohler2006Self-face recognition and theory of mind in patients with schizophrenia and first-degree relatives.Schizophr Res88151160
  55. 55. Bora E, Sehitoglu G, Aslier M, Atabay I, Veznedaroglu B (2007) Theory of mind and unawareness of illness in schizophrenia: is poor insight a mentalizing deficit? Eur Arch Psychiatry Clin Neurosci 257: 104–111.E. BoraG. SehitogluM. AslierI. AtabayB. Veznedaroglu2007Theory of mind and unawareness of illness in schizophrenia: is poor insight a mentalizing deficit?Eur Arch Psychiatry Clin Neurosci257104111
  56. 56. Bora E, Eryavuz A, Kayahan B, Sungu G, Veznedaroglu B (2006) Social functioning, theory of mind and neurocognition in outpatients with schizophrenia; mental state decoding may be a better predictor of social functioning than mental state reasoning. Psychiatry Res 145: 95–103.E. BoraA. EryavuzB. KayahanG. SunguB. Veznedaroglu2006Social functioning, theory of mind and neurocognition in outpatients with schizophrenia; mental state decoding may be a better predictor of social functioning than mental state reasoning.Psychiatry Res14595103
  57. 57. Farrant A, Morris RG, Russell T, Elwes R, Akanuma N, et al. (2005) Social cognition in frontal lobe epilepsy. Epilepsy Behav 7: 506–516.A. FarrantRG MorrisT. RussellR. ElwesN. Akanuma2005Social cognition in frontal lobe epilepsy.Epilepsy Behav7506516
  58. 58. Torralva T, Kipps CM, Hodges JR, Clark L, Bekinschtein T, et al. (2007) The relationship between affective decision-making and theory of mind in the frontal variant of fronto-temporal dementia. Neuropsychologia 45: 342–349.T. TorralvaCM KippsJR HodgesL. ClarkT. Bekinschtein2007The relationship between affective decision-making and theory of mind in the frontal variant of fronto-temporal dementia.Neuropsychologia45342349
  59. 59. Lough S, Gregory C, Hodges JR (2001) Dissociation of social cognition and executive function in frontal variant frontotemporal dementia. Neurocase 7: 123–130.S. LoughC. GregoryJR Hodges2001Dissociation of social cognition and executive function in frontal variant frontotemporal dementia.Neurocase7123130
  60. 60. Gregory C, Lough S, Stone V, Erzinclioglu S, Martin L, et al. (2002) Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer's disease: theoretical and practical implications. Brain 125: 752–764.C. GregoryS. LoughV. StoneS. ErzincliogluL. Martin2002Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer's disease: theoretical and practical implications.Brain125752764
  61. 61. Stone VE, Baron-Cohen S, Calder A, Keane J, Young A (2003) Acquired theory of mind impairments in individuals with bilateral amygdala lesions. Neuropsychologia 41: 209–220.VE StoneS. Baron-CohenA. CalderJ. KeaneA. Young2003Acquired theory of mind impairments in individuals with bilateral amygdala lesions.Neuropsychologia41209220
  62. 62. Finton MJ, Lucas JA, Graff-Radford NR, Uitti RJ (1998) Analysis of visuospatial errors in patients with Alzheimer's disease or Parkinson's disease. J Clin Exp Neuropsychol 20: 186–193.MJ FintonJA LucasNR Graff-RadfordRJ Uitti1998Analysis of visuospatial errors in patients with Alzheimer's disease or Parkinson's disease.J Clin Exp Neuropsychol20186193
  63. 63. Mandal MK, Tandon SC, Asthana HS (1991) Right brain damage impairs recognition of negative emotions. Cortex 27: 247–253.MK MandalSC TandonHS Asthana1991Right brain damage impairs recognition of negative emotions.Cortex27247253
  64. 64. Zahn R, Moll J, Krueger F, Huey ED, Garrido G, et al. (2007) Social concepts are represented in the superior anterior temporal cortex. Proc Natl Acad Sci U S A 104: 6430–6435.R. ZahnJ. MollF. KruegerED HueyG. Garrido2007Social concepts are represented in the superior anterior temporal cortex.Proc Natl Acad Sci U S A10464306435
  65. 65. Sibbald B, Roberts C (1998) Understanding controlled trials. Crossover trials. Bmj 316: 1719.B. SibbaldC. Roberts1998Understanding controlled trials. Crossover trials.Bmj3161719
  66. 66. Pourfar M, Tang C, Lin T, Dhawan V, Kaplitt MG, et al. (2009) Assessing the microlesion effect of subthalamic deep brain stimulation surgery with FDG PET. J Neurosurg 110: 1278–1282.M. PourfarC. TangT. LinV. DhawanMG Kaplitt2009Assessing the microlesion effect of subthalamic deep brain stimulation surgery with FDG PET.J Neurosurg11012781282
  67. 67. Bronte-Stewart H, Barberini C, Koop MM, Hill BC, Henderson JM, et al. (2009) The STN beta-band profile in Parkinson's disease is stationary and shows prolonged attenuation after deep brain stimulation. Exp Neurol 215: 20–28.H. Bronte-StewartC. BarberiniMM KoopBC HillJM Henderson2009The STN beta-band profile in Parkinson's disease is stationary and shows prolonged attenuation after deep brain stimulation.Exp Neurol2152028
  68. 68. Hilker R, Voges J, Weisenbach S, Kalbe E, Burghaus L, et al. (2004) Subthalamic nucleus stimulation restores glucose metabolism in associative and limbic cortices and in cerebellum: evidence from a FDG-PET study in advanced Parkinson's disease. J Cereb Blood Flow Metab 24: 7–16.R. HilkerJ. VogesS. WeisenbachE. KalbeL. Burghaus2004Subthalamic nucleus stimulation restores glucose metabolism in associative and limbic cortices and in cerebellum: evidence from a FDG-PET study in advanced Parkinson's disease.J Cereb Blood Flow Metab24716
  69. 69. Joel D, Weiner I (1997) The connections of the primate subthalamic nucleus: indirect pathways and the open-interconnected scheme of basal ganglia-thalamocortical circuitry. Brain Res Brain Res Rev 23: 62–78.D. JoelI. Weiner1997The connections of the primate subthalamic nucleus: indirect pathways and the open-interconnected scheme of basal ganglia-thalamocortical circuitry.Brain Res Brain Res Rev236278