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

Ekaterina Dobryakova, Maria Assunta Rocca, Paola Valsasina, Angelo Ghezzi, Bruno Colombo, Vittorio Martinelli, Giancarlo Comi, John Deluca, Massimo Filippi

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)2293 - 2304
Number of pages12
JournalHuman Brain Mapping
Volume37
Issue number6
DOIs
Publication statusPublished - Jun 1 2016

Fingerprint

Executive Function
Multiple Sclerosis
Magnetic Resonance Imaging
Phenotype
Task Performance and Analysis
Aptitude
Gyrus Cinguli
Brain
Reaction Time
Healthy Volunteers

Keywords

  • Bayes networks
  • Effective connectivity
  • Executive control
  • FMRI
  • Interference
  • Multiple sclerosis
  • Phenotypes
  • Stroop

ASJC Scopus subject areas

  • Clinical Neurology
  • Anatomy
  • Neurology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study. / Dobryakova, Ekaterina; Rocca, Maria Assunta; Valsasina, Paola; Ghezzi, Angelo; Colombo, Bruno; Martinelli, Vittorio; Comi, Giancarlo; Deluca, John; Filippi, Massimo.

In: Human Brain Mapping, Vol. 37, No. 6, 01.06.2016, p. 2293 - 2304.

Research output: Contribution to journalArticle

@article{d59c25bae63d488d95aa60e70130ed20,
title = "Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study",
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. {\circledC} 2016 Wiley Periodicals, Inc.",
keywords = "Bayes networks, Effective connectivity, Executive control, FMRI, Interference, Multiple sclerosis, Phenotypes, Stroop",
author = "Ekaterina Dobryakova and Rocca, {Maria Assunta} and Paola Valsasina and Angelo Ghezzi and Bruno Colombo and Vittorio Martinelli and Giancarlo Comi and John Deluca and Massimo Filippi",
year = "2016",
month = "6",
day = "1",
doi = "10.1002/hbm.23174",
language = "English",
volume = "37",
pages = "2293 -- 2304",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "John Wiley and Sons Inc.",
number = "6",

}

TY - JOUR

T1 - Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study

AU - Dobryakova, Ekaterina

AU - Rocca, Maria Assunta

AU - Valsasina, Paola

AU - Ghezzi, Angelo

AU - Colombo, Bruno

AU - Martinelli, Vittorio

AU - Comi, Giancarlo

AU - Deluca, John

AU - Filippi, Massimo

PY - 2016/6/1

Y1 - 2016/6/1

N2 - 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.

AB - 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.

KW - Bayes networks

KW - Effective connectivity

KW - Executive control

KW - FMRI

KW - Interference

KW - Multiple sclerosis

KW - Phenotypes

KW - Stroop

UR - http://www.scopus.com/inward/record.url?scp=84960171868&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960171868&partnerID=8YFLogxK

U2 - 10.1002/hbm.23174

DO - 10.1002/hbm.23174

M3 - Article

VL - 37

SP - 2293

EP - 2304

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 6

ER -