Literature DB >> 32105726

Electrocorticography reveals spatiotemporal neuronal activation patterns of verbal fluency in patients with epilepsy.

Shawniqua Williams Roberson1, Preya Shah2, Vitória Piai3, Heather Gatens2, Abba M Krieger4, Timothy H Lucas2, Brian Litt2.   

Abstract

Verbal fluency is commonly used to evaluate cognitive dysfunction in a variety of neuropsychiatric diseases, yet the neurobiology underlying performance of this task is incompletely understood. Electrocorticography (ECoG) provides a unique opportunity to investigate temporal activation patterns during cognitive tasks with high spatial and temporal precision. We used ECoG to study high gamma activity (HGA) patterns in patients undergoing presurgical evaluation for intractable epilepsy as they completed an overt, free-recall verbal fluency task. We examined regions demonstrating changes in HGA during specific timeframes relative to speech onset. Early pre-speech high gamma activity was present in left frontal regions during letter fluency and in bifrontal regions during category fluency. During timeframes typically associated with word planning, a distributed network was engaged including left inferior frontal, orbitofrontal and posterior temporal regions. Peri-Rolandic activation was observed during speech onset, and there was post-speech activation in the bilateral posterior superior temporal regions. Based on these observations in the context of prior studies, we propose a model of neocortical activity patterns underlying verbal fluency.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cognitive search; Electrocorticography (ECoG); Epilepsy; High-gamma; Verbal fluency; Word production

Mesh:

Year:  2020        PMID: 32105726      PMCID: PMC7202905          DOI: 10.1016/j.neuropsychologia.2020.107386

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  56 in total

1.  The nature and time-course of medial temporal lobe contributions to semantic retrieval: an fMRI study on verbal fluency.

Authors:  Signy Sheldon; Morris Moscovitch
Journal:  Hippocampus       Date:  2011-11-18       Impact factor: 3.899

2.  Clustering and switching as two components of verbal fluency: evidence from younger and older healthy adults.

Authors:  A K Troyer; M Moscovitch; G Winocur
Journal:  Neuropsychology       Date:  1997-01       Impact factor: 3.295

3.  Estimating Parallel Processing in a Language Task Using Single-Trial Intracerebral Electroencephalography.

Authors:  A-Sophie Dubarry; Anais Llorens; Agnès Trébuchon; Romain Carron; Catherine Liégeois-Chauvel; Christian-G Bénar; F-Xavier Alario
Journal:  Psychol Sci       Date:  2017-02-01

4.  Simple reaction time as a function of alertness and prior mental activity.

Authors:  S Appelle; L E Oswald
Journal:  Percept Mot Skills       Date:  1974-06

5.  Electrocorticographic gamma activity during word production in spoken and sign language.

Authors:  N E Crone; L Hao; J Hart; D Boatman; R P Lesser; R Irizarry; B Gordon
Journal:  Neurology       Date:  2001-12-11       Impact factor: 9.910

6.  The hippocampal contribution to verbal fluency in patients with temporal lobe epilepsy.

Authors:  U Gleissner; C E Elger
Journal:  Cortex       Date:  2001-02       Impact factor: 4.027

7.  Expanding the Language Network: Direct Contributions from the Hippocampus.

Authors:  Natalie V Covington; Melissa C Duff
Journal:  Trends Cogn Sci       Date:  2016-11-01       Impact factor: 20.229

8.  Activation of language cortex with automatic speech tasks.

Authors:  S Y Bookheimer; T A Zeffiro; T A Blaxton; P W Gaillard; W H Theodore
Journal:  Neurology       Date:  2000-10-24       Impact factor: 9.910

9.  Cortical subnetwork dynamics during human language tasks.

Authors:  Maxwell J Collard; Matthew S Fifer; Heather L Benz; David P McMullen; Yujing Wang; Griffin W Milsap; Anna Korzeniewska; Nathan E Crone
Journal:  Neuroimage       Date:  2016-04-02       Impact factor: 6.556

10.  Theta and gamma oscillations during encoding predict subsequent recall.

Authors:  Per B Sederberg; Michael J Kahana; Marc W Howard; Elizabeth J Donner; Joseph R Madsen
Journal:  J Neurosci       Date:  2003-11-26       Impact factor: 6.167

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