Author

Tomás Goucha

Max Planck Institute for Human Cognitive and Brain SciencesORCID 0000-0002-2709-353XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:statistical model· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

Angela Dorkas FriedericiiD· 3 shared Alfred AnwanderiD· 2 shared Charlotte Grosse WiesmanniD· 1 shared Cheslie Celine KleiniD· 1 shared H. Adamson· 1 shared Helyne AdamsoniD· 1 shared Matthias SchwendemanniD· 1 shared Philipp BergeriD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Angela Dorkas FriedericiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

White matter plasticity during second language learning within and across hemispheres

Xuehu Wei, Thomas C. Gunter, Helyne Adamson, Matthias Schwendemann, Angela Dorkas Friederici, Tomás Goucha, Alfred Anwander

This study examines changes in white matter connectivity during adult second language learning, finding increased intra-hemispheric connectivity and decreased interhemispheric connectivity, correlated with language performance.

Proceedings of the National Academy of Sciences · Jan 4, 2024Peer-reviewedNeuroscience

Children's syntax is supported by the maturation of BA44 at 4 years, but of the posterior STS at 3 years of age

Cheslie Celine Klein, Philipp Berger, Tomás Goucha, Angela Dorkas Friederici, Charlotte Grosse Wiesmann

The paper shows that 3-year-olds' syntax is linked to the posterior STS, while 4-year-olds' syntax is linked to BA44 maturation.

Cerebral Cortex · Oct 11, 2022Peer-reviewedNeuroscience

Native language leaves distinctive traces in brain connections

Tomás Goucha, Alfred Anwander, H. Adamson, Angela Dorkas Friederici

This study shows that speaking different languages leaves distinct traces in brain connectivity, identified using machine learning and structural connectivity data.

bioRxiv · Jul 30, 2022 · PreprintNeuroscience