Table 1.
Recent reviews on AI-enhanced neuroscience research and its relevant topics.
Table 2.
Inclusion and exclusion criteria for manual verification of the retrieved papers.
Fig 1.
Proposed analytic framework.
Table 3.
Interpretations of the topics fitted using STM, VEM, Gibbs sampling, and LSA.
Table 4.
The 30-STM results with the discriminating terms, topical proportions in the whole dataset, suggested topic labels, and topical developmental trends.
The rows marked in dark grey are topics whose proportions are above 4%, those in light grey are topics whose proportions are between 3% and 4%, and those in white are topics whose proportions are below 3%.
Fig 2.
Annual trends of the identified topics (2009–2018).
Fig 3.
Graphing positive correlations between the 30 identified topics.
Fig 4.
Topic proportion distributions of the influential countries/regions and institutes in AI-assisted human brain research ranked by h-index.
Fig 5.
Topic proportion distributions by year.
Fig 6.
Effects of funding and international collaboration on topic proportions.
Differences between papers with and without funding (a), as well as papers with and without international collaboration (b).