Repeated visual processing of an unfamiliar face suppresses neural activity in face-specific areas of the occipito-temporal cortex. This "repetition suppression" (RS) is a primitive mechanism involved in learning of unfamiliar faces, which can be detected through amplitude reduction of the N170 event-related potential (ERP). The dorsolateral prefrontal cortex (DLPFC) exerts top-down influence on early visual processing. However, its contribution to N170 RS and learning of unfamiliar faces remains unclear. Transcranial direct current stimulation (tDCS) transiently increases or decreases cortical excitability, as a function of polarity. We hypothesized that DLPFC excitability modulation by tDCS would cause polarity-dependent modulations of N170 RS during encoding of unfamiliar faces. tDCS-induced N170 RS enhancement would improve long-term recognition reaction time (RT) and/or accuracy rates, whereas N170 RS impairment would compromise recognition ability. Participants underwent three tDCS conditions in random order at ∼72 hour intervals: right anodal/left cathodal, right cathodal/left anodal and sham. Immediately following tDCS conditions, an EEG was recorded during encoding of unfamiliar faces for assessment of P100 and N170 visual ERPs. The P3a component was analyzed to detect prefrontal function modulation. Recognition tasks were administered ∼72 hours following encoding. Results indicate the right anodal/left cathodal condition facilitated N170 RS and induced larger P3a amplitudes, leading to faster recognition RT. Conversely, the right cathodal/left anodal condition caused N170 amplitude and RTs to increase, and a delay in P3a latency. These data demonstrate that DLPFC excitability modulation can influence early visual encoding of unfamiliar faces, highlighting the importance of DLPFC in basic learning mechanisms.
Citation: Lafontaine MP, Théoret H, Gosselin F, Lippé S (2013) Transcranial Direct Current Stimulation of the Dorsolateral Prefrontal Cortex Modulates Repetition Suppression to Unfamiliar Faces: An ERP Study. PLoS ONE 8(12): e81721. https://doi.org/10.1371/journal.pone.0081721
Editor: Galit Yovel, Tel Aviv University, Israel
Received: March 4, 2013; Accepted: October 16, 2013; Published: December 4, 2013
Copyright: © 2013 Lafontaine et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by Natural Sciences and Engineering Research Council of Canada (NSERC) grant to SL; MPL is supported by a Sainte-Justine UHC Foundation and Foundation of Stars scholarship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: Author Hugo Théoret is a PLOS ONE Editorial Board member and confirms that this does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.
Repetition of a visually presented stimulus leads to suppression of neural activity in the cortical areas responsible for processing the stimulus , . Much evidence over recent years has been reported for this phenomenon, known as repetition suppression (RS) , across a broad range of neuroimaging methods, cortical regions, neural scales and study protocols (for a review, see Grill-Spector et al. ). Behaviourally, RS has been associated with perceptual priming, a basic form of memory formation and learning whereby accuracy and reaction time (RT) are implicitly improved in recognizing a previously presented stimulus , , . Both RS and priming are incremental in nature, enhancing their effects as a function of the number of presentations of a stimulus , . Also, duration of stimulus presentation at encoding influences RS and priming at retrieval in almost identical patterns .
RS is a fundamental sensory process, but is also embedded in declarative memory and higher associative forms of learning. For instance, stronger RS in the temporal cortex at retrieval, as detected by blood-oxygen level dependent (BOLD) signal reduction, is associated with higher perceived familiarity for previously encoded visual stimuli, which may provide a basis for declarative memory formation . In clinical populations, compromised neural RS is often linked to impairments in the capacity to learn new information visually, including unfamiliar faces. In elderly patients with Alzheimer’s disease, poor performance in recognition tests assessing episodic memory for faces and corresponding names is associated with reduced suppression of activity at encoding in medial temporal lobe structures. This contrasts with cognitively unimpaired young and elderly subjects showing stronger RS effects and normal retrieval performance . In acquired prosopagnosia, the inability to recognize individual faces has been associated with a lack of RS to repeated identical faces in the right fusiform gyrus compared to control subjects . In addition, learning of novel faces is severely impaired in the absence of RS to unfamiliar faces in the fusiform face area (FFA) as characterized in developmental prosopamnesia .
These neuropsychological signs suggest that the capacity to learn new faces is highly dependent on the presence of RS in face-specific cortical areas. Investigations into the RS properties of the N170 event-related potential (ERP) component in normal subjects provide further insight into the reason why. The N170 component is a robust finding in ERP research and is described as a negative deflection peaking over occipito-temporal sites around 170ms post-stimulus, maximal for face stimuli and thought to reflect early structural detection and perceptual processing of faces , . RS is reflected in variations of N170 peak amplitude and latency values in response to repeated faces relative to novel ones. Although RS effects on latency are inconsistent, N170 amplitude is usually reduced in a way similar to reduction of BOLD activity in the FFA and both markers may reflect a neural mechanism for the early stages of face identity learning –. Indeed, in tasks demanding explicit encoding of individual faces by repetition, episodic memory performance and N170 RS are equal for upright and inverted faces , . However, N170 RS is specific to upright faces in a task where attention is driven away from face identity . Given that upright faces can be processed implicitly as opposed to inverted faces which require attention , repeated processing of individual face identities is thereby isolated in inducing N170 RS. Further evidence where N170 reduces exclusively to repetitions of a same unfamiliar face identity has been reported , –. Thus, because there can be no learning of new face identities without prior processing, N170 RS is assuredly a mechanism involved in rendering unfamiliar faces familiar. Still, the underlying neural model that would explain or give rise to RS and face encoding is unclear.
The dorsolateral prefrontal cortex (DLPFC) is a source of top-down control that has been shown to influence the course of bottom-up visual processing through increases in extrastriate neural activity enhancing attention to elements of the visual field , . In patients with DLPFC damage, this positive influence on visual processing is compromised, leading to diminished ability in discriminating visual stimuli in the hemifield contralateral to lesions and to ERP perturbations over occipito-temporal sites in the ipsi-lesional hemisphere . Results from studies using long-range functional connectivity analysis of fMRI data ,  support the presence of a link between prefrontal top-down control and modulations in visual processing and behaviour. In support of a causal link, right prefrontal activity disruption by transcranial magnetic stimulation (TMS) during encoding of visually presented non-verbal items entails a decrease of early sensory responses in occipito-temporal cortex as well as working memory impairment . As proposed by the HERA model , , prefrontal regions also generally contribute to memory formation and right DLPFC activation may specifically predict successful encoding of faces , . Face identity learning therefore depends not only on RS within face-specific areas, but also on proper dynamic interactions between occipito-temporal cortex and prefrontal areas .
Although many neural models for RS have been put forth , one that involves the contribution of top-down control has shown promise in accounting for both neural and behavioural effects. Indeed, based partly on results indicating that RS occurs jointly with increases in cortico-cortical connectivity  and that activity in prefrontal cortex ostensibly precedes RS in temporal lobe structures , some have proposed a theoretical model where RS in early processing areas is a consequence of the progressive reduction in prediction error from higher-order, associative areas of cortex, the DLPFC amongst them , . As the difference between bottom-up sensory input and experience-dependent, top-down prediction is lessened through repetition, visual processing becomes more efficient and may lead to the reduction of activity needed to represent the stimulus and the enhanced ability to recognize and retrieve items from memory. Supporting this model, in studies where the probability of repetition of faces is manipulated, higher probability of repetition entails stronger fMRI adaptation or RS effects in the FFA  and earlier areas as well . In other words, stimuli with higher repetition probability become expected by higher cortical areas; this reduces their prediction error and enhances RS relative to stimuli with lower repetition probability. Of relevance to the present study, it has recently been proposed that this top-down model may be preferential for facial stimuli, as repetition probability of everyday objects has no effect on RS strength . In ERP studies, the P300 and its frontal subcomponent P3a provide further illustration of this model. The P3a is thought to reflect the detection of novel stimuli to which attentional resources are allocated, regardless of sensory modality , . Frontal lobe and DLPFC patients are generally impaired in novelty detection and show reduced P3a amplitude , . However, augmented P3a amplitude can reflect higher attention, which enhances encoding of a stimulus . Furthermore, with repeated presentation of a novel stimulus, P3a amplitude suppresses as memory for this stimulus is formed . This RS of the P3a is dependent on the integrity of a circuit involving the DLPFC and occipito-temporal areas. Indeed, P3a RS is absent in epileptic patients having undergone medial temporal lobe resection . In this case, without proper processing of a stimulus in occipito-temporal regions, the DLPFC would have no representation with which to compare its predictions, and encoding may become impaired. Thus, in light of its sensitivity to top-down contributions in learning mechanisms involving occipito-temporal areas, the present study uses P3a to evaluate changes in DLPFC function caused by noninvasive brain stimulation during learning of unfamiliar faces.
Transcranial direct current stimulation (tDCS) is a non-invasive form of electrical brain stimulation which allows transient and superficial cortical excitability modulation through application of a weak electrical current via electrodes placed on the surface of the scalp. Cortical excitability modulation is polarity-dependent: anodal stimulation increases excitability of the underlying cortex whereas cathodal stimulation decreases it . Unlike TMS, tDCS does not induce action potentials but modulates spontaneous firing rates and, when applied for a sufficient amount of time (∼10 minutes), induces long-lasting plasticity changes through NMDA receptor efficacy modulation –. Although the increased use of tDCS in recent years began in the context of application over the motor cortex, an increasing amount of literature now describes its effects on higher cognitive functions such as planning abilities , risk-taking and decision-making –, working memory  and learning , . Of note, polarity reversal between active stimulation conditions can yield differential effects on cognitive function including risk-taking  and learning .
Based on the body of evidence reviewed, we hypothesized that application of tDCS over the DLPFC would modulate N170 RS over occipito-temporal sites in response to repeated presentation of unfamiliar faces. Differential effects would arise in a polarity-dependent fashion whereby anodal tDCS would have an effect opposite to that induced by cathodal stimulation. Similarly, the P3a component would also show polarity-dependent changes in RS and amplitude, reflecting top-down influences including attention. As tDCS-induced cortical excitability modulation is transient , we expected that observed effects on ERPs would decay over time. Behavioural measures should follow patterns similar to RS modulation, which is to say enhanced RS would be associated with better accuracy and/or shorter RT in a subsequent assessment of memory, and the opposite for RS impairment.
Materials and Methods
The project was reviewed and approved by the Comité d’éthique de la recherche de la Faculté des arts et des sciences (CÉRFAS) of the University of Montreal and was conform to the Declaration of Helsinki. All participants gave written informed consent prior to testing. Subjects in Figure 1B, C have given written informed consent, as outlined in the PLOS consent form, to publication of their photograph.
(A) tDCS conditions and tasks were independently randomly ordered across participants. Encoding and recognition, as well as tDCS conditions were separated by ∼72 hours to test long-term recognition and avoid cross-over cortical excitability modulation effects. (B) Example of one encoding task block. Encoding tasks consisted of three blocks, each comprising 15 different unfamiliar faces presented 15 times consecutively. (C) Example of a corresponding recognition task. The 45 unfamiliar faces encoded ∼72 hours earlier are presented amongst 45 novel faces. For each face, participants responded either "known" or "unknown" (here, correct answers are indicated on the intertrial interval). Stimuli in this figure are not the originals, but similar stimuli used for illustrative purposes only.
Participants were 14 healthy young adults (8 males and 6 females, range: 21–31 years; mean ± SD: 23.5±2.37 years), all undergraduate and graduate students of the University of Montreal. All participants had normal or corrected-to-normal vision and reported no history of neurological or psychiatric disorders. Behavioural and ERP data of two participants were rejected because of concerns they did not perform the encoding task correctly (recognition accuracy ≤50%). An additional participant’s EEG data were rejected because of excessive artifacts. Behavioural data of this participant were also removed from analyses, to maximize comparability of results between behavioural and EEG analyses. Behavioural and EEG analyses therefore included 11 participants. These remaining participants were right-handed.
Stimuli were 270 different unfamiliar male (177) and female (93) grayscale Caucasian faces. Images were selected from the FERET database on the criteria of their neutral expressions and absence of glasses, earrings or beards, to avoid any facilitation in learning or recognition based on these features. As this study aimed at characterizing the contribution of top-down processes in basic learning, it was essential to minimize any possible confounds arising from bottom-up processes by controlling for low-level image properties such as size, spatial location, luminance, contrast and spatial frequency. Firstly, to equate size and spatial location across stimuli, we aligned the internal attributes of faces using Matlab functions (available at http://www.mapageweb.umontreal.ca/gosselif/alignTools/) and a procedure similar to that described by Taschereau-Dumouchel and colleagues . Broadly, images were rotated, translated and scaled such that the eyes and mouths were aligned with the average coordinates of these attributes calculated from a total of 12 annotations subjectively placed on each stimulus in the set. Secondly, a model (252×323 pixels) ellipse mask was placed around the faces, the exterior of which was cropped including the hairline and ears, leaving only the internal attributes of the face against a white background. Finally, luminance (13.3 cd/m2), contrast and spatial frequency were equated across stimuli using functions from the SHINE toolbox for Matlab (available at http://www.mapageweb.umontreal.ca/gosselif/SHINE/), conceived by Willenbockel et al.  specifically for this purpose.
Transcranial direct current stimulation
tDCS was applied using a Magstim DC stimulator via two rubber electrodes (one cathode, one anode) placed inside 35 cm2 sponges soaked in sodium chloride solution. Electrodes were installed on the scalp using a bifrontal configuration over positions F3 and F4 in accordance with the international 10/20 EEG electrode placement system. Using a repeated-measures design, participants were administered all three tDCS conditions: right (F4) anodal/left (F3) cathodal, right cathodal/left anodal and sham. For each active tDCS condition, the battery-driven stimulator was programmed to deliver a 1.5mA direct current for 15 minutes, with 10 seconds of linear fade in and fade out. These current intensity and stimulation duration parameters were chosen for their reported ability to limit undesirable side-effects while effectively inducing cortical excitability modulation , . In the single-blind sham condition, electrodes were applied bifrontally and stimulation was maintained for the first 30 seconds only, a now standard method introduced by Gandiga, Hummel, & Cohen . Although many tDCS electrode configurations were considered, the bifrontal type was chosen for its reliability in yielding behavioural results linked to high-level, executive function modulation –. Of note, bilaterally applied tDCS inherently allows sufficient distance between electrodes, thus reducing chances of shunting of the current through the skin or cerebrospinal fluid .
Tasks and procedure
For each tDCS condition, an encoding task was administered, followed by a matching recognition task (see Figure 1A). Each encoding/recognition task used a different subset of randomly selected face stimuli and was matched with a tDCS condition. The order in which participants would undergo tDCS conditions and encoding/recognition tasks was randomized for each participant. For all tasks, participants were comfortably seated in a sound-attenuated, electrically shielded room, at 70 cm viewing distance from centrally displayed stimuli subtending 10.3×15.7° visual angle, presented using E-Prime 2.0 software (on a 19", 1280×1024 pixel resolution monitor).
Encoding task (Figure 1B). The EEG cap was installed first with placement of tDCS electrodes underneath, ensuring precision and consistency of installation across conditions and participants. However, to avoid any electrical contamination of EEG signals, tDCS was administered prior to the start of recording such that the two systems were not simultaneously active. During tDCS, participants were instructed to close their eyes and relax while remaining awake. Both EEG recording and the encoding task started immediately following removal of tDCS electrodes and verification of impedances (∼5 minute delay). Each encoding task comprised 3 separate blocks. In each block, 15 different face identities were presented consecutively 15 times each. Each encoding task therefore contained 45 different face identities presented 15 times each for a total of 675 (45×15) trials per encoding task. In later analyses, blocks were added as a factor to assess the expected decay of tDCS effects over time. Each encoding task block lasted 10 min 13 sec. Participants were not instructed to use any particular encoding strategy but were asked to attentively observe the faces on which they would subsequently be tested. Stimuli were presented for 2000ms with a 600ms intertrial interval showing a central fixation cross.
Recognition task (Figure 1C). The 45 encoded faces were presented amongst 45 novel distractor faces in 90 randomly ordered trials. In each trial, a face appeared for 600ms followed by a fixation cross at which point participants had to perform a forced choice old/new discrimination decision using the left mouse button for known (i.e.: previously encoded) faces and the right button for unknowns. Participants were instructed to respond as fast as possible without making mistakes. Reaction time (RT) and accuracy were recorded at every trial.
To assess the long-term repercussions of DLPFC activity modulation during encoding and avert any cross-over effects from one tDCS stimulation condition to the next, tasks and conditions were administered at three-day (∼72 hours) intervals. This led to the four-session experimental design depicted in Figure 1A, where the last session comprised a recognition task only and two questionnaires. Because sleep is known to support memory functions  and sleep disorders to cause memory formation impairments  and waking EEG abnormalities , participants were asked to complete the Pittsburgh Sleep Quality Index (PSQI) questionnaire  to control for sleep quality. In addition, to assess the variability and intensity of adverse side-effects caused by tDCS, participants also completed a questionnaire similar to that suggested by Brunoni et al. .
During encoding tasks, continuous EEG was recorded from 32 Ag/AgCl sintered electrodes (10/20 system) mounted in a Quik-cap (Compumedics). Data were acquired at 500 Hz sampling rate and high-pass filtered at 0.1 Hz with NeuroScan 4.5. Linked mastoids were used as reference and impedances were kept below 5 kΩ. Vertical and horizontal eye movements were monitored by EOG with four additional bipolar electrodes positioned on the outer canthus of each eye as well as above and under the orbit of the left eye.
Offline signal processing and averaging was performed (using BrainVision Analyzer 2) separately for each condition, participant and channel. EEG raw data were first segmented into 675 trials lasting 2200ms each (200ms baseline) based on stimulus onset marker positions. A high-pass digital filter was applied at 0.5 Hz with an additional low-pass filter set to 50 Hz (24dB/octave) and 60 Hz notch filter. Eye movement artifacts were corrected by algorithm  and trials containing segments exceeding ±125 µV were discarded. Trial data were corrected relative to the -100ms pre-stimulus baseline. Finally, for every individual face identity, the first five, middle five and last five trials were averaged separately (later referred to as Av1, Av2 and Av3 trial averages) for subsequent ERP analysis. Although RS has been reported to happen as early as the second presentation of a stimulus in adults , , some accounts suggest it may persist at later trials  thus, partitioning of data into three separate averages was carried out to assess different stages of the RS process.
Behavioural and ERP statistical analyses
All analyses were conducted using SPSS Statistics 20 software. Correct answers in the recognition tasks were defined as correct identification of known and novel faces. Accuracy was then calculated as percentages of correct answers for every participant and condition. RT and accuracy data were first entered in two-way repeated-measures ANOVAs with tDCS condition (3) and stimulus familiarity (previously encoded vs. novel distractors) as within-subjects factors. To assess the specificity of tDCS effects, RT and accuracy data were subsequently divided into those of faces encoded while under the influence of tDCS and those of novel faces (i.e.: first presented ∼72 hours following active tDCS). Encoded faces RTs and accuracy were entered in two-way repeated-measures ANOVAs with tDCS condition (3) and block (3) as within-subjects factors. Novel faces RTs and accuracy were entered in one-way repeated-measures ANOVAs with tDCS condition (3) as within-subjects factor (no block factor can be assigned to novel faces).
ERP analyses were conducted for latency and amplitude values of the P100, N170 and P3a components. Peaks were individually detected for all trial averages (Av1, Av2 and Av3) in a ±30ms time window around the grand-average means at Oz, O1 and O2 sites for P100, TP8 and TP7 for N170 and along the midline (Fz, FCz, Cz, CPz, Pz) for P3a. A four-way repeated-measures ANOVA was conducted on P100 data, using electrode (3), tDCS condition (3), block (3) and trial average (3) as within-subjects factors. For the N170 component, a four-way repeated-measures ANOVA was carried out with hemisphere (2), stimulation condition (3), block (3) and trial average (3) as within-subjects factors. The P3a component was analyzed using a four-way, repeated-measures ANOVA with electrode (5), stimulation condition (3), block (3) and trial average (3) as within-subjects factors. When obtained, main effects were further analyzed at specific factor levels. Interaction effects were analyzed with interaction-graph guided ANOVAs at specific levels of the independent variables. All statistical analyses involved Greenhouse-Geisser adjusted degrees of freedom when necessary and Bonferroni corrections for multiple comparisons.
PSQI. Descriptive statistics indicate a mean global score of 3.86±0.29 (range: 2–5) which is within recommended "good" sleeping quality values (≤5) . This suggests none of the participants had significant sleeping disturbances for the entire duration of testing (10 days, all conditions) and within the preceding month.
tDCS questionnaire. Participants reported some adverse side-effects due to tDCS. During stimulation, 93% of participants reported an "itching" sensation under the electrodes and 78.5% reported "burning". Such side-effects were anticipated as they are relatively common in tDCS studies . Furthermore, on average, these sensations were rated as "mild" and in no case entailed lesions or motivated participants to withdraw from further testing.
Recognition task accuracy. Recognition task difficulty was set to yield accuracies lower than ceiling to allow for improvement and decrement of performance. The range of accuracy rates was 51-80% (mean ± SD: 61%±7%), all conditions, participants and types of stimuli (encoded vs. novel) included. No effect of tDCS condition (F(2,20) = 1.13, P>0.1, ηp2 = 0.1), stimulus familiarity (F(1,10) = 2.23, P>0.1, ηp2 = 0.18) or interaction (F(2,22) = 0.76, P>0.1, ηp2 = 0.07) were found on recognition accuracy.
Recognition task RTs. A marginally significant main effect of tDCS condition was found on overall RTs at recognition (F(2,20) = 3.2, P = 0.06, ηp2 = 0.24), but not of stimulus familiarity (F(1,10) = 1.5, P>0.1, ηp2 = 0.13) or interaction (F(2,20) = 0.64, P>0.1, ηp2 = 0.06). For encoded stimuli, a main effect of tDCS condition was found (F(1.23,12.26) = 4.2, P<0.05, ηp2 = 0.29), but not of block (F(1.19,11.87) = 1.54, P>0.1, ηp2 = 0.13) or interaction (F(1.13,11.33) = 0.6, P>0.1, ηp2 = 0.06). Indeed, Bonferroni-adjusted pairwise comparisons indicate RTs following the right anodal/left cathodal condition were faster than both the right cathodal/left anodal (P<0.05) and sham conditions (P<0.01). For novel faces of the recognition task, no tDCS condition effect was found on RTs (F(2,20) = 2.2, P>0.1, ηp2 = 0.18), indicating that the effect of tDCS condition on RTs is confined to stimuli presented following active tDCS (Figure 2). Single tDCS sessions of the DLPFC during encoding were sufficient to induce long-term differential effects on recognition RTs as a function of polarity. Moreover, as there was no encoding block effect, the tDCS-induced effects on RTs seem to have lasted the entire duration of the encoding task over all three blocks.
For faces encoded while under tDCS influence, the right anodal/left cathodal condition yielded faster recognition RTs than the right cathodal/left anodal (*P<0.05) and sham conditions (**P<0.01), ∼72 hours after encoding. There was no effect of tDCS on RTs of novel faces.
P100. All interactions were non-significant (P>0.1) and no main effect of electrode (F(2,20) = 1.63, P>0.1, ηp2 = 0.14), stimulation condition (F(2,20) = 2.3, P>0.1, ηp2 = 0.2), block (F(2,20) = 0.4, P>0.1, ηp2 = 0.04) or trial average (F(2,20) = 0.3, P>0.1, ηp2 = 0.01) was found for amplitude values of the P100 at posterior sites. For latency values, no electrode (F(2,20) = 1.1, P>0.1, ηp2 = 0.1), tDCS condition (F(2,20) = 0.23, P>0.1, ηp2 = 0.02), block (F(2,20) = 2.15, P>0.1, ηp2 = 0.2), trial average (F(2,20) = 0.46, P>0.1, ηp2 = 0.02) effects or interactions (P>0.1) were significant.
N170. For amplitude values, an interaction effect of hemisphere x tDCS condition x block x trial average was found (F(8,80) = 2.12, P<0.05, ηp2 = 0.18). When hemispheres were analyzed separately, no main or interaction effects were found at left hemisphere electrode TP7 (P>0.1) however, right occipito-temporal site TP8 (Table 1) showed a significant tDCS condition x block x trial average interaction effect (F(8,80) = 2.62, P = 0.01, ηp2 = 0.21). In turn, analyzing encoding blocks separately at TP8, revealed a significant tDCS condition x trial average effect (F(4,40) = 4.73, P<0.01, ηp2 = 0.32) specific to the first encoding block (Figure 3A). A significant tDCS condition effect (F(2,20) = 11.2, P = 0.01, ηp2 = 0.53) was found to be circumscribed to the first five trials (Av1) within the first encoding block at TP8. Indeed, pairwise comparisons indicate that N170 amplitude is significantly suppressed for the right anodal/left cathodal condition relative to the right cathodal/left anodal condition (P = 0.01, Figure 3A,B). Similarly to RT results, sham condition N170 amplitude lied in between those of active tDCS conditions, these differences being marginally significant (P<0.08). All other blocks and trial averages showed non-significant tDCS condition effects (P>0.1).
(A) Graph showing a tDCS condition x trial average interaction on N170 amplitude within the first encoding block. (B) This interaction further reveals an effect of tDCS condition on N170 amplitude within the first five stimulus repetitions (Av1) of the first encoding bloc, where the R anodal/L cathodal condition is significantly suppressed relative to the R cathodal/L anodal condition (**P = 0.01). (C) A trial average effect in the sham condition reveals RS of the N170 from Av1 to Av2 (*P = 0.05). No trial average effects were found for both the right anodal/left cathodal and right cathodal/left anodal conditions.
Of special interest here, the tDCS condition effect on N170 amplitude at Av1 of the first encoding block suggests that differential right occipito-temporal RS took place between active stimulation conditions within the first five stimulus repetitions of the first block, when active tDCS modulatory influence on DLPFC excitability was presumably strongest. This supports the hypothesis that tDCS over the DLPFC would modulate N170 RS over occipito-temporal sites in response to repeated presentation of unfamiliar faces. However, as this is only inferred from observing an overall difference between resulting averages (i.e.: Av1), additional analyses were conducted to ensure the tDCS condition effect can be interpreted in the context of RS. First, to ascertain that the encoding task effectively induced RS in the absence of DLPFC activity modulation, the amplitude values of N170 should decrease as a function of trial average within the first block of the sham condition. In an analysis with tDCS condition (3) and trial average (3) as within-subjects factors, a significant interaction was found (F(4,40) = 4.73, P<0.01, ηp2 = 0.32). As expected, a trial average effect was revealed (F(2,20) = 3.46, P<0.05, ηp2 = 0.26) in the sham condition where N170 amplitude reduced from Av1 to Av2 (P = 0.05, Figure 3A,C). Although Av3 N170 amplitude remains reduced relative to Av1, this difference was not significant (P>0.1). Trial average effects were non-significant in the right anodal/left cathodal (F(2,20) = 2.62, P = 0.1, ηp2 = 0.21) and right cathodal/left anodal (F(2,20) = 2.37, P>0.1, ηp2 = 0.19) conditions. Secondly, to confirm that the tDCS effect suppresses activity rather than creating a non specific change in brain activity, the amplitude values of the very first presentations of each face of the first encoding block would have to be equal across conditions. This was in fact the case as no significant difference was found in a supplementary one-way repeated-measures ANOVA with tDCS condition as within-subjects factor and grand-averaged N170 amplitude values of the first stimulus presentation as outcome variable (F(2,24) = 0.32, P>0.1, ηp2 = 0.03). It follows from this analysis, that the tDCS condition effect at Av1 of the first block would be caused by a difference in the last four repetitions of Av1. Indeed, the tDCS condition effect remains when grand-averaged amplitude values of only the last four repetitions of Av1 are included (F(2,20) = 7.49, P<0.01, ηp2 = 0.43). Together, these results demonstrate that the tDCS condition effect on N170 amplitude reflects differential RS between the active tDCS conditions during the first five repetitions of stimuli. Furthermore, the fact that the tDCS condition effect was specific to the right hemisphere where face stimuli are preferentially processed , , suggests that this effect was specifically induced by repeated presentation of unfamiliar faces.
For latency values of the N170 component, all interactions were non-significant (P>0.1). No main effects of hemisphere (F(1,10) = 1.9, P>0.1, ηp2 = 0.16), stimulation condition (F(2,20) = 2.67, P = 0.1, ηp2 = 0.21), block (F(1,10) = 1.9, P>0.1, ηp2 = 0.16) or trial average (F(2,20) = 1.1, P>0.1, ηp2 = 0.1) were found.
P3a. While all interactions were non-significant (P>0.1), main effects of stimulation condition (F(2,20) = 3.85, P<0.05, ηp2 = 0.29) and trial average (F(2,9) = 4.87, P<0.05, ηp2 = 0.52) were found on amplitude values of the P3a component. The tDCS condition effect was caused by overall higher P3a amplitude in the right anodal/left cathodal condition relative to the inversed polarity and sham conditions (P<0.05, Figure 4A). Also, Av1 amplitudes were higher than Av3 regardless of stimulation condition and block (P<0.05), indicating suppression of activity throughout repetitions (1–15) of single stimuli (Figure 4B). When sites were analyzed separately, similar tDCS condition effects were found individually at Fz (F(2,20) = 4.33, P<0.05, ηp2 = 0.3), FCz (F(2,20) = 4.41, P<0.05, ηp2 = 0.31) and CPz (F(2,9) = 4.38, P<0.05, ηp2 = 0.49). These stimulation condition effects were driven by the second block at these sites (Fz: F(1.3,13.1) = 6.99, P<0.01, ηp2 = 0.41; FCz: F(2,20) = 7.66, P<0.01, ηp2 = 0.43; CPz: F(2,20) = 5.83, P = 0.01, ηp2 = 0.37). Indeed, the first and third blocks showed no tDCS condition effect (P>0.05). Trial average or RS effects also remained significant at Fz (F(2,9) = 5.58, P<0.05, ηp2 = 0.55), FCz (F(2,9) = 6.88, P<0.05, ηp2 = 0.6) and CPz (F(2,9) = 4.81, P<0.05, ηp2 = 0.52).
(A) The right anodal/left cathodal condition caused larger P3a amplitudes than the right cathodal/left anodal. This effect was strongest at the second encoding block (displayed, *P<0.05). (B) P3a amplitude suppressed from Av1 to Av3 regardless of tDCS condition and block, indicating RS throughout repetitions of stimuli (*P<0.05). (C) Effect of tDCS condition x trial average interaction at right dorsolateral site F4 where RS is significant only in the right anodal/left cathodal condition (*P<0.05). (D) The right cathodal/left anodal condition caused a significant delay of P3a at Pz (*P<0.05).
As they were the central sites over which tDCS electrodes were placed, frontal dorsolateral sites F4 and F3 were analyzed in a separate four-way repeated-measures ANOVA with hemisphere (2), tDCS condition (3), block (3) and trial average (3) as within-subjects factors. In this analysis, a significant main effect of trial average was found (F(2,9) = 6.33, P<0.05, ηp2 = 0.58). This trial average effect was significant at both F3 (F(2,9) = 4.54, P<0.05, ηp2 = 0.5) and F4 (F(2,9) = 5.96, P<0.05, ηp2 = 0.57), where an additional interaction of tDCS condition x trial average was found (F(4,7) = 1.91, P<0.05, ηp2 = 0.52). This interaction further revealed that a significant RS effect was present only in the right anodal/left cathodal condition at this site (F(2,20) = 4.1, P<0.05, ηp2 = 0.3) between Av1 and Av2, as well as Av1 and Av3 (P<0.05, Figure 4C). These results suggest that while having the same neurophysiological influence (i.e.: cortical excitability augmentation for the anode), tDCS polarity did not have the same induced effects on RS of the P3a depending on the hemisphere over which it was applied.
Latency values analyses revealed a general trend for P3a to be delayed in the right cathodal/left anodal condition at all midline and frontal dorsolateral sites. However, this main effect was significant only at Pz (F(2,20) = 3.76, P<0.05, ηp2 = 0.27), specifically between the right cathodal/left anodal and sham conditions at the second block (P<0.05, Figure 4D).
The purpose of the present study was to determine whether prefrontal regions, the DLPFC specifically, can, through top-down control, influence early visual encoding of individual face identities triggered by repeated viewing of unfamiliar faces. To do so, we exogenously modulated DLPFC activity using tDCS in healthy adults before encoding of unfamiliar faces, and analyzed RS variations in the P100, N170 and P3a ERP components, as well as long-term recognition accuracy and RT. Immediately following tDCS, ERP data revealed differential effects in N170 amplitude values for averaged repeated stimuli between conditions where prefrontal cortical activity was oppositely altered (i.e.: polarity-dependent). This suggests that neural activity to repeated face identity processing in right occipito-temporal cortex was modulated through prefrontal activity disruption and enhancement. tDCS did modulate prefrontal activity, as concurrent effects on both amplitude and latency values of the P3a component reflected variations in prefrontal function. Notably, P3a RS interacted with tDCS condition over the right hemisphere, further supporting the DLPFC’s influence on RS. DLPFC stimulation also influenced behaviour, as RTs in subsequent recognition tasks followed a polarity-dependent pattern in line with ERP results. These data support the hypothesis that top-down connections may causally influence early visual encoding and extend it by showing a specific link between DLPFC activity modulation by tDCS and right-hemisphere N170 RS, having long-term repercussions on recognition.
Our main behavioural finding was that participants made faster decisions about the familiarity of face stimuli encoded under the right anodal/left cathodal condition than under the right cathodal/left anodal. This effect held for all three encoding blocs and only for encoded faces, which enforces the notion that this variation is indeed tDCS-induced. There is strong evidence from studies on priming that leads us to expect facilitation of processing such as faster RT for previously encoded stimuli , , , . Thus, the observation that RTs are shortened in the right anodal/left cathodal condition relative to sham suggests that facilitation of processing is enhanced in this condition. Reversal of tDCS polarity had the opposite effect on RTs which were longer than in all other conditions but only significantly so relative to the right anodal/left cathodal. This suggests that the right cathodal/left anodal condition negatively impacted expected priming or at least did not confer the same advantage as did the right anodal/left cathodal condition. No such advantage or impairment was obtained in recognition accuracy, as scores were equivalent across conditions. At encoding, latency of presentation (2000ms) or the number of presentations (15 for each individual identity) may have been long enough or sufficient to override effects on accuracy that could have been induced by tDCS. Similar findings have been reported by Itier and Taylor  where encoding was facilitated enough to abolish the expected higher retrieval accuracy for upright relative to inverted and negative-contrast faces.
In the absence of tDCS influence, the N170 showed RS, as Av2 trial amplitude was significantly reduced relative to Av1. Moreover, although amplitude was equal across conditions for the first presentation of individual face identities, N170 average amplitude of the first five repetitions (Av1) varied as a function of tDCS polarity, indicating that different activity patterns took place within these first repetitions. Indeed, although our analyses do not provide a trial-by-trial resolution, it seems the right anodal/left cathodal condition induced a progressive suppression of activity in response to repeated face stimuli, whereas the right cathodal/left anodal condition increased activity, as reflected by its larger amplitude. Additionally, effects on N170 RS were significant at the first encoding block and fell thereafter, which suggests tDCS was responsible for early face identity processing effects over occipito-temporal cortex: as DLPFC activity modulation due to electrical current presumably faded, so did N170 RS modulation. This is comparable to results obtained by Zanto and colleagues , whose effects of prefrontal disruption by TMS on posterior areas and working memory waned as time elapsed. The gradual reduction of N170 amplitude under the right anodal/left cathodal condition is congruous with faster RTs in this condition, given previous studies that have found RS and N170 RS, to be associated with positive priming and familiarity acquisition effects for unfamiliar faces , , , . Conversely, enlargement of N170 amplitude has typically been linked with higher processing and attentional demands due to an increase of task difficulty. A well established example of N170 amplitude increase is in the response to presentation of inverted faces which disrupt normal ease of configural processing for upright faces , , . This in turn requires that existing neural mechanisms deploy greater efforts or that additional mechanisms contribute to processing, resulting in higher signal amplitude and severely impaired learning capacity . Enlargement of N170 amplitude has also been reported to occur as a function of increased working memory load for faces. In a task where the number of faces having to be simultaneously encoded is incrementally increased, so is N170 amplitude, again thought to reflect a higher demand of neural resources . Following Friston’s theory , an increase of activity could reflect an inability of higher cortical areas to reduce prediction error with repetition. This may explain why N170 amplitude can increase when the second face of a pair is of a different identity than the first : identity processing must begin anew and prediction error is increased relative to the first identity. Similarly, perhaps N170 amplitude does not reduce for familiar faces  because once an identity is learned, RS and prediction error reach a minimum. In the present study, despite the fact that only one face was presented at a time, that stimuli were upright, unfamiliar and of the same identity within Av1, N170 amplitude still increased in the right cathodal/left anodal condition. Moreover, accuracy being equal, more time was needed to recognize these faces afterwards. In light of past findings and our behavioural results, N170 amplitude enhancement in this study may indicate compromised efficacy of visual face identity encoding elicited by the right cathodal/left anodal condition. The inverse may be said of the right anodal/left cathodal condition.
Heightened P3a amplitude, found in the right anodal/left cathodal condition, can reflect high availability and focus of attentional resources, which has generally been linked to enhanced encoding and subsequent retrieval ability , , . Oppositely, when a task is more demanding of attentional resources, such as one requiring high working memory load for faces, general P300 amplitudes tend to be reduced as attentional resources become depleted , . Furthermore, latency delay of the P3a found in the right cathodal/left anodal condition, has been associated with increased demand of attentional resources and cognitive processing in difficult tasks , . In this study, task difficulty and working memory load did not vary across conditions. Consequently, the right cathodal/left anodal condition may have effectively compromised neuronal and attentional resources, thereby artificially increasing the encoding task’s difficulty. Thus, the influence of tDCS on P3a amplitude seems to be in line with the notion of encoding efficacy decrease for the right cathodal/left anodal condition and increase for the right anodal/left cathodal.
What remains uncertain is the exact mechanism through which tDCS has induced effects in this study. Improvement of many aspects of learning have been demonstrated using anodal stimulation , , , which seems to provoke long-term potentiation (LTP)-like mechanisms by modulating NMDA receptor plasticity –. Hence, anodal stimulation may have increased synaptic potentiation of existing connections between DLPFC and occipito-temporal cortex, leading to progressively more efficient and faster interaction between these regions, which is in agreement with a "facilitation" model of RS , . In contrast, cathodal stimulation reduces cortical excitability and usually has a negative or no impact on learning , , . Reconciling these findings with the present results leads us to a prevalent importance of the right DLPFC in influencing face identity encoding. Regardless of left DLPFC stimulation, positive priming and RS effects on N170 were specific to the right occipito-temporal cortex when the anode was above the right DLPFC and the opposite for the cathode. Moreover, the P3a’s RS effect interacted with tDCS polarity over the right DLPFC while no such interaction was present over the left DLPFC. This may be the consequence of a combination of right hemisphere preference for faces ,  and intrahemispheric prefrontal modulation of occipito-temporal cortex . However, through the necessity of having simultaneous presence of anodal and cathodal stimulation over areas of cortex, tDCS effects pose an inherent difficulty of interpretation in determining which stimulation causes the effects, if not a combination of the two, as proposed by Fecteau et al. . Additionally, given that N170 and P3a effects were maximal at the first and second blocks respectively, while RT effects were found in all three encoding blocks, the mechanisms underlying ERPs investigated here at encoding may not be sufficient in accounting for influences on behaviour.
Although N170 peak latencies of up to 240ms have been confidently reported (e.g.: ), the ones obtained in this study (∼210ms) are somewhat longer than the typical time-range (130–200ms) . Certain factors can explain this peculiarity. The fact that the face stimuli used here were cropped (showing only the inside features of faces) may have increased N170 peak latency, as it did in Dering and colleagues’ study , when compared to unaltered faces. Longer N170 latency may also be a result of the "SHINEing" of stimuli which strongly reduced variations in low-level image properties including spatial frequency. Some studies have found large delays of N170 latency in response to spatial frequency filtered face stimuli , . However, this is the first study to report N170 effects from stimuli having undergone the SHINE process and further investigation is needed to determine its specific impacts. Finally, repetition itself may have also contributed to N170 latencies. While some studies have found N170 amplitude reduction to be associated with shorter latencies , , others have found either no latency variations ,  or increased latency with repetition . N170 latency patterns in response to repetition could be more vulnerable to task design factors (e.g.: presentation duration, intertrial interval, presence and number of intervening items) which are highly variable across studies on RS. Further study is needed to gain insight into this matter.
In conclusion, results presented here demonstrate that tDCS of the DLPFC can influence early visual encoding of individual face identities indexed by N170 RS. The fact that reversal of tDCS polarity over the DLPFC yielded differences in prefrontal function, N170 repetition effects and long-term recognition RT, suggests that visual encoding efficacy has the potential to be either enhanced or impaired through DLPFC stimulation.
The authors thank Nathalie Bouloute and Maude Joannette for their help in acquisition and processing of EEG data.
Conceived and designed the experiments: SL HT FG MPL. Performed the experiments: MPL. Analyzed the data: MPL SL HT FG. Contributed reagents/materials/analysis tools: SL HT FG. Wrote the paper: MPL SL HT.
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