scholarly journals Sex Differences in Resting-State Functional Connectivity in Multiple Sclerosis

2013 ◽  
Vol 34 (12) ◽  
pp. 2304-2311 ◽  
Author(s):  
K.A. Koenig ◽  
M.J. Lowe ◽  
J. Lin ◽  
K.E. Sakaie ◽  
L. Stone ◽  
...  
2019 ◽  
Vol 31 ◽  
pp. 101-105 ◽  
Author(s):  
Patricia Stefancin ◽  
Sindhuja T Govindarajan ◽  
Lauren Krupp ◽  
Leigh Charvet ◽  
Timothy Q Duong

2016 ◽  
Vol 17 (4) ◽  
pp. S59
Author(s):  
S. Atalla ◽  
J. Gore ◽  
S. Bruehl ◽  
B. Rogers ◽  
M. Dietrich ◽  
...  

NeuroImage ◽  
2015 ◽  
Vol 115 ◽  
pp. 235-244 ◽  
Author(s):  
Gabriela Alarcón ◽  
Anita Cservenka ◽  
Marc D. Rudolph ◽  
Damien A. Fair ◽  
Bonnie J. Nagel

2013 ◽  
Vol 51 (13) ◽  
pp. 2918-2929 ◽  
Author(s):  
Alisha L. Janssen ◽  
Aaron Boster ◽  
Beth A. Patterson ◽  
Amir Abduljalil ◽  
Ruchika Shaurya Prakash

Author(s):  
Bernardo Canedo Bizzo ◽  
Tiago Arruda‐Sanchez ◽  
Sean M Tobyne ◽  
John Daniel Bireley ◽  
Michael Howard Lev ◽  
...  

2019 ◽  
Vol 126 (4) ◽  
pp. 1032-1041 ◽  
Author(s):  
Christina J. Dimech ◽  
John A. E. Anderson ◽  
Amber W. Lockrow ◽  
R. Nathan Spreng ◽  
Gary R. Turner

We investigated sex differences in the association between a measure of physical health, cardiorespiratory fitness (CRF), and brain function using resting-state functional connectivity fMRI. We examined these sex differences in the default, frontoparietal control, and cingulo-opercular networks, assemblies of functionally connected brain regions known to be impacted by both age and fitness level. Healthy older adults ( n = 49; 29 women) were scanned to obtain measures of intrinsic connectivity within and across these 3 networks. We calculated global efficiency (a measure of network integration) and local efficiency (a measure of network specialization) using graph theoretical methods. Across all three networks combined, local efficiency was positively associated with CRF, and this was more robust in male versus female older adults. Furthermore, global efficiency was negatively associated with CRF, but only in males. Our findings suggest that in older adults, associations between brain network integrity and physical health are sex-dependent. These results underscore the importance of considering sex differences when examining associations between fitness and brain function in older adulthood. NEW & NOTEWORTHY We examined the association between cardiorespiratory fitness and resting state functional connectivity in several brain networks known to be impacted by age and fitness level. We found significant associations between fitness and measures of network integration and network specialization, but in a sex-dependent manner, highlighting the interplay between sex differences, fitness, and aging brain health. Our findings underscore the importance of considering sex differences when examining associations between fitness and brain function in older adulthood.


2017 ◽  
Vol 24 (13) ◽  
pp. 1696-1705 ◽  
Author(s):  
Alvino Bisecco ◽  
Federica Di Nardo ◽  
Renato Docimo ◽  
Giuseppina Caiazzo ◽  
Alessandro d’Ambrosio ◽  
...  

Objectives: To investigate resting-state functional connectivity (RS-FC) of the default-mode network (DMN) and of sensorimotor network (SMN) network in relapsing remitting (RR) multiple sclerosis (MS) patients with fatigue (F) and without fatigue(NF). Methods: In all, 59 RRMS patients and 29 healthy controls (HC) underwent magnetic resonance imaging (MRI) protocol including resting-state fMRI (RS-fMRI). Functional connectivity of the DMN and SMN was evaluated by independent component analysis (ICA). A linear regression analysis was performed to explore whether fatigue was mainly driven by changes observed in the DMN or in the SMN. Regional gray matter atrophy was assessed by voxel-based morphometry (VBM). Results: Compared to HC, F-MS patients showed a stronger RS-FC in the posterior cingulate cortex (PCC) and a reduced RS-FC in the anterior cingulated cortex (ACC) of the DMN. F-MS patients, compared to NF-MS patients, revealed (1) an increased RS-FC in the PCC and a reduced RS-FC in the ACC of the DMN and (2) an increased RS-FC in the primary motor cortex and in the supplementary motor cortex of the SMN. The regression analysis suggested that fatigue is mainly driven by RS-FC changes of the DMN. Conclusions: Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.


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