Literature DB >> 20921510

Cognitive compensation failure in multiple sclerosis.

M C Bonnet1, M Allard, B Dilharreguy, M Deloire, K G Petry, B Brochet.   

Abstract

OBJECTIVES: Compensatory processes involving the recruitment of additional cerebral areas can limit cognitive impairment caused by brain damage as revealed by fMRI. Multiple sclerosis (MS) is characterized by frequent cognitive deficiencies and diffuse brain damage. Understanding the missing or disturbed processes resulting in cognitive compensation failure is a major challenge in MS.
METHODS: Fifteen patients with relapsing-remitting (RR) MS and 20 healthy controls underwent an fMRI paradigm based on Go/No-go task with increasing complexity and neuropsychological and morphologic MRI examinations.
RESULTS: To perform all the Go/No-go conditions, patients with RRMS exhibited supplementary cerebral recruitment compared to controls. For the most complex condition, patients presented both collapse of additional cerebral recruitment and significant lower cognitive performance compared to controls. In patients, both response times and diffuse tissue damage were correlated with medial frontal activations. Functional connectivity analysis demonstrated strong correlation between dorsolateral prefrontal cortex and medial frontal region activations.
CONCLUSIONS: High cognitive demand causes beneficial cerebral recruitment failure, leading to cognitive impairment in patients with RRMS. Functional compensatory mechanisms preserving good cognitive performances operate by a new cerebral strategy involving medial prefrontal regions recruitment, instead of cerebellar regions seen in controls. This new recruitment is diffuse tissue damage-dependent. Missing cerebellar involvement argues for an inability to generate proficient cognitive automation processes in patients, directly leading to recruitment of high-level decision-making areas. Recurrent mobilization of cortical regions could explain the limiting effect of the cognitive load on the cognitive compensatory phenomena in patients with MS.

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Year:  2010        PMID: 20921510     DOI: 10.1212/WNL.0b013e3181f612e3

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  24 in total

1.  Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study.

Authors:  Ekaterina Dobryakova; Maria Assunta Rocca; Paola Valsasina; Angelo Ghezzi; Bruno Colombo; Vittorio Martinelli; Giancarlo Comi; John DeLuca; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2016-03-09       Impact factor: 5.038

2.  MRI predictors of cognitive outcome in early multiple sclerosis.

Authors:  M S A Deloire; A Ruet; D Hamel; M Bonnet; V Dousset; B Brochet
Journal:  Neurology       Date:  2011-03-29       Impact factor: 9.910

3.  MR imaging and cognitive correlates of relapsing-remitting multiple sclerosis patients with cerebellar symptoms.

Authors:  Antonio Cerasa; Paola Valentino; Carmelina Chiriaco; Domenico Pirritano; Rita Nisticò; Cecilia M Gioia; Maria Trotta; Francesco Del Giudice; Tiziana Tallarico; Federico Rocca; Antonio Augimeri; Giacinta Bilotti; Aldo Quattrone
Journal:  J Neurol       Date:  2012-12-28       Impact factor: 4.849

4.  The frequency of alpha oscillations: Task-dependent modulation and its functional significance.

Authors:  Immanuel Babu Henry Samuel; Chao Wang; Zhenhong Hu; Mingzhou Ding
Journal:  Neuroimage       Date:  2018-08-31       Impact factor: 6.556

5.  Brain's compensatory response to drug-induced cognitive impairment.

Authors:  Immanuel Babu Henry Samuel; Christopher Barkley; Susan E Marino; Chao Wang; Sahng-Min Han; Angela K Birnbaum; Jean E Cibula; Mingzhou Ding
Journal:  J Clin Exp Neuropsychol       Date:  2018-05-02       Impact factor: 2.475

6.  Preserved canonicality of the BOLD hemodynamic response reflects healthy cognition: Insights into the healthy brain through the window of Multiple Sclerosis.

Authors:  Monroe P Turner; Nicholas A Hubbard; Dinesh K Sivakolundu; Lyndahl M Himes; Joanna L Hutchison; John Hart; Jeffrey S Spence; Elliot M Frohman; Teresa C Frohman; Darin T Okuda; Bart Rypma
Journal:  Neuroimage       Date:  2018-02-15       Impact factor: 6.556

7.  Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis.

Authors:  José Miguel Soares; Raquel Conde; Ricardo Magalhães; Paulo Marques; Rosana Magalhães; Luciana Gomes; Óscar F Gonçalves; Mavilde Arantes; Adriana Sampaio
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

8.  Mobile Brain/Body Imaging of cognitive-motor impairment in multiple sclerosis: Deriving EEG-based neuro-markers during a dual-task walking study.

Authors:  Pierfilippo De Sanctis; Brenda R Malcolm; Peter C Mabie; Ana A Francisco; Wenzhu B Mowrey; Sonja Joshi; Sophie Molholm; John J Foxe
Journal:  Clin Neurophysiol       Date:  2020-02-21       Impact factor: 3.708

Review 9.  Network collapse and cognitive impairment in multiple sclerosis.

Authors:  Menno M Schoonheim; Kim A Meijer; Jeroen J G Geurts
Journal:  Front Neurol       Date:  2015-04-14       Impact factor: 4.003

10.  Relationship between working hours and power of attention, memory, fatigue, depression and self-efficacy one year after diagnosis of clinically isolated syndrome and relapsing remitting multiple sclerosis.

Authors:  Peter Joseph Jongen; Keith Wesnes; Björn van Geel; Paul Pop; Evert Sanders; Hans Schrijver; Leo H Visser; H Jacobus Gilhuis; Ludovicus G Sinnige; Augustina M Brands
Journal:  PLoS One       Date:  2014-05-01       Impact factor: 3.240

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