Literature DB >> 26956182

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

Ekaterina Dobryakova1,2,3, Maria Assunta Rocca1,4,5, Paola Valsasina1, Angelo Ghezzi2,3, Bruno Colombo4,5, Vittorio Martinelli4,5, Giancarlo Comi4,5, John DeLuca2,3,6, Massimo Filippi1,4,5.   

Abstract

The Stroop interference task is a cognitively demanding task of executive control, a cognitive ability that is often impaired in patients with multiple sclerosis (MS). The aim of this study was to compare effective connectivity patterns within a network of brain regions involved in the Stroop task performance between MS patients with three disease clinical phenotypes [relapsing-remitting (RRMS), benign (BMS), and secondary progressive (SPMS)] and healthy subjects. Effective connectivity analysis was performed on Stroop task data using a novel method based on causal Bayes networks. Compared with controls, MS phenotypes were slower at performing the task and had reduced performance accuracy during incongruent trials that required increased cognitive control. MS phenotypes also exhibited connectivity abnormalities reflected as weaker shared connections, presence of extra connections (i.e., connections absent in the HC connectivity pattern), connection reversal, and loss. In SPMS and the BMS groups but not in the RRMS group, extra connections were associated with deficits in the Stroop task performance. In the BMS group, the response time associated with correct responses during the congruent condition showed a positive correlation with the left posterior parietal → dorsal anterior cingulate connection. In the SPMS group, performance accuracy during the congruent condition showed a negative correlation with the right insula → left insula connection. No associations between extra connections and behavioral performance measures were observed in the RRMS group. These results suggest that, depending on the phenotype, patients with MS use different strategies when cognitive control demands are high and rely on different network connections. Hum Brain Mapp, 37:2293-2304, 2016.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Bayes networks; Stroop; effective connectivity; executive control; fMRI; interference; multiple sclerosis; phenotypes

Mesh:

Year:  2016        PMID: 26956182      PMCID: PMC6867262          DOI: 10.1002/hbm.23174

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  40 in total

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Authors:  Nico U F Dosenbach; Kristina M Visscher; Erica D Palmer; Francis M Miezin; Kristin K Wenger; Hyunseon C Kang; E Darcy Burgund; Ansley L Grimes; Bradley L Schlaggar; Steven E Petersen
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5.  Examining a supramodal network for conflict processing: a systematic review and novel functional magnetic resonance imaging data for related visual and auditory stroop tasks.

Authors:  Katherine L Roberts; Deborah A Hall
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9.  Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study.

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2.  Altered neural mechanisms of cognitive control in patients with primary progressive multiple sclerosis: An effective connectivity study.

Authors:  Ekaterina Dobryakova; Maria Assunta Rocca; Paola Valsasina; John DeLuca; Massimo Filippi
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3.  Cognitive Fatigue Is Associated with Altered Functional Connectivity in Interoceptive and Reward Pathways in Multiple Sclerosis.

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4.  Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury.

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Review 5.  Treatment and management of cognitive dysfunction in patients with multiple sclerosis.

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6.  Continuous reorganization of cortical information flow in multiple sclerosis: A longitudinal fMRI effective connectivity study.

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7.  Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS.

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9.  Social cognition in multiple sclerosis and its subtypes: A protocol for systematic review and meta-analysis.

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10.  Dorsolateral prefrontal circuit effective connectivity mediates the relationship between white matter structure and PASAT-3 performance in multiple sclerosis.

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