OBJECTIVE: The objective of this paper is to explore differences in resting-state functional connectivity between cognitively impaired and preserved multiple sclerosis (MS) patients. METHODS: Sixty MS patients and 18 controls were assessed with the Brief Repeatable Battery of Neuropsychological Tests (BRB-N). A global Z score of the BRB-N was obtained and allowed us to classify MS patients as cognitively impaired and cognitively preserved (n = 30 per group). Functional connectivity was assessed by independent component analysis of resting-state networks (RSNs) related to cognition: the default mode network, left and right frontoparietal and salience network. Between-group differences were evaluated and a regression analysis was performed to describe relationships among cognitive status, functional connectivity and radiological variables. RESULTS: Compared to cognitively preserved patients and healthy controls, cognitively impaired patients showed a lesser degree of functional connectivity in all RSNs explored. Cognitively preserved patients presented less connectivity than the control group in the left frontoparietal network. Global Z scores were positively and negatively correlated with brain parenchymal fraction and lesion volume, respectively. CONCLUSION: Decreased cognitive performance is accompanied by reduced resting state functional connectivity and directly related to brain damage. These results support the use of connectivity as a powerful tool to monitor and predict cognitive impairment in MS patients.
OBJECTIVE: The objective of this paper is to explore differences in resting-state functional connectivity between cognitively impaired and preserved multiple sclerosis (MS) patients. METHODS: Sixty MSpatients and 18 controls were assessed with the Brief Repeatable Battery of Neuropsychological Tests (BRB-N). A global Z score of the BRB-N was obtained and allowed us to classify MSpatients as cognitively impaired and cognitively preserved (n = 30 per group). Functional connectivity was assessed by independent component analysis of resting-state networks (RSNs) related to cognition: the default mode network, left and right frontoparietal and salience network. Between-group differences were evaluated and a regression analysis was performed to describe relationships among cognitive status, functional connectivity and radiological variables. RESULTS: Compared to cognitively preserved patients and healthy controls, cognitively impairedpatients showed a lesser degree of functional connectivity in all RSNs explored. Cognitively preserved patients presented less connectivity than the control group in the left frontoparietal network. Global Z scores were positively and negatively correlated with brain parenchymal fraction and lesion volume, respectively. CONCLUSION: Decreased cognitive performance is accompanied by reduced resting state functional connectivity and directly related to brain damage. These results support the use of connectivity as a powerful tool to monitor and predict cognitive impairment in MSpatients.
Entities:
Keywords:
Resting state functional connectivity; cognitive impairment; default network; left frontoparietal network; right frontoparietal network; salience network
Authors: Jeroen Van Schependom; Diego Vidaurre; Lars Costers; Martin Sjøgård; Marie B D'hooghe; Miguel D'haeseleer; Vincent Wens; Xavier De Tiège; Serge Goldman; Mark Woolrich; Guy Nagels Journal: Hum Brain Mapp Date: 2019-07-30 Impact factor: 5.038
Authors: Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; Nancy Madigan; A Scott Nielsen; Jacob A Sloane; Revere P Kinkel; Caterina Mainero Journal: Neuroimage Clin Date: 2016-11-03 Impact factor: 4.881
Authors: Daniela Pinter; Christian Beckmann; Marisa Koini; Eva Pirker; Nicola Filippini; Alexander Pichler; Siegrid Fuchs; Franz Fazekas; Christian Enzinger Journal: PLoS One Date: 2016-03-23 Impact factor: 3.240