Literature DB >> 28506484

A surgical approach to the anatomo-functional structure of language.

E Mandonnet1.   

Abstract

INTRODUCTION: Language is the most widely mapped cognitive function during brain surgery. Intraoperative language functional mapping using direct electrical stimulation under awake conditions is currently the gold standard technique for establishing the causal link between an area and a deficit that would be caused by its resection. It is also a powerful tool to investigate the anatomical correlates of current neuropsychological models of language.
MATERIAL AND METHODS: The aim of this article is to reexamine the anatomo-functional structure of language that could be inferred from data obtained in direct electrical stimulation studies during awake surgery.
RESULTS: Concomitantly with the development of new neuropsychological models of language, major advances have been made in our understanding of error patterns elicited by language network stimulation, both cortically and axonally. Following the recognition of visual information, the language network of picture naming is organized in parallel into two main dorsal phonological and ventral semantic subsystems that are sustained anatomically by two systems (arcuate fasciculus and inferior fronto-occipital/inferior longitudinal/uncinate fasciculus respectively). Networks of articulatory and motor aspects of speech are now better depicted (aslant tract, third branch of longitudinal fasciculus). Finally, the links between the core language networks and the cognitive control networks are also emerging.
CONCLUSION: Mastering the language map and its dynamical properties should be a basic prerequisite for any neurosurgeon who wishes to operate on the brain with the aim of optimizing the extent of resection while preserving language abilities.
Copyright © 2017. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Awake surgery; Brain mapping; Direct electrical stimulation; Hodotopy; Language; Network

Mesh:

Year:  2017        PMID: 28506484     DOI: 10.1016/j.neuchi.2016.10.004

Source DB:  PubMed          Journal:  Neurochirurgie        ISSN: 0028-3770            Impact factor:   1.553


  4 in total

1.  Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory.

Authors:  Qiongge Li; Luca Pasquini; Gino Del Ferraro; Madeleine Gene; Kyung K Peck; Hernán A Makse; Andrei I Holodny
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

Review 2.  Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications.

Authors:  Luca Pasquini; Alberto Di Napoli; Maria Camilla Rossi-Espagnet; Emiliano Visconti; Antonio Napolitano; Andrea Romano; Alessandro Bozzao; Kyung K Peck; Andrei I Holodny
Journal:  Front Hum Neurosci       Date:  2022-02-18       Impact factor: 3.169

3.  Microstructural Measures of the Inferior Longitudinal Fasciculus Predict Later Cognitive and Language Development in Infants Born With Extremely Low Birth Weight.

Authors:  Matthew C Bugada; Julia E Kline; Nehal A Parikh
Journal:  J Child Neurol       Date:  2021-06-29       Impact factor: 1.987

4.  Probabilistic mapping of language networks from high frequency activity induced by direct electrical stimulation.

Authors:  Marcela Perrone-Bertolotti; Sarah Alexandre; Anne-Sophie Jobb; Luca De Palma; Monica Baciu; Marie-Pierre Mairesse; Dominique Hoffmann; Lorella Minotti; Philippe Kahane; Olivier David
Journal:  Hum Brain Mapp       Date:  2020-07-22       Impact factor: 5.038

  4 in total

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