Neuro-Clinical Signatures of Language Impairments: A Theoretical Framework for Function-to-structure Mapping in Clinics.


Journal

Current topics in medicinal chemistry
ISSN: 1873-4294
Titre abrégé: Curr Top Med Chem
Pays: United Arab Emirates
ID NLM: 101119673

Informations de publication

Date de publication:
2020
Historique:
received: 06 11 2019
revised: 10 11 2019
accepted: 12 01 2020
pubmed: 3 3 2020
medline: 9 1 2021
entrez: 3 3 2020
Statut: ppublish

Résumé

In the past decades, neuroscientists and clinicians have collected a considerable amount of data and drastically increased our knowledge about the mapping of language in the brain. The emerging picture from the accumulated knowledge is that there are complex and combinatorial relationships between language functions and anatomical brain regions. Understanding the underlying principles of this complex mapping is of paramount importance for the identification of the brain signature of language and Neuro-Clinical signatures that explain language impairments and predict language recovery after stroke. We review recent attempts to addresses this question of language-brain mapping. We introduce the different concepts of mapping (from diffeomorphic one-to-one mapping to many-to-many mapping). We build those different forms of mapping to derive a theoretical framework where the current principles of brain architectures including redundancy, degeneracy, pluri-potentiality and bow-tie network are described.

Identifiants

pubmed: 32116193
pii: CTMC-EPUB-104928
doi: 10.2174/1568026620666200302111130
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

800-811

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Ferath Kherif (F)

Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Sandrine Muller (S)

1Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

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Classifications MeSH