scholarly journals Abnormal Resting-State Functional Connectivity in Patients with Chronic Fatigue Syndrome: Results of Seed and Data-Driven Analyses

2016 ◽  
Vol 6 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Charles W. Gay ◽  
Michael E. Robinson ◽  
Song Lai ◽  
Andrew O'Shea ◽  
Jason G. Craggs ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Chronic Fatigue ◽  
Data Driven ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome

Altered resting-state functional connectivity in women with chronic fatigue syndrome

2015 ◽  
Vol 234 (3) ◽  
pp. 292-297 ◽  
Author(s):  
Byung-Hoon Kim ◽  
Kee Namkoong ◽  
Jae-Jin Kim ◽  
Seojung Lee ◽  
Kang Joon Yoon ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Chronic Fatigue ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome

scholarly journals Aberrant Resting-State Functional Connectivity in the Salience Network of Adolescent Chronic Fatigue Syndrome

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0159351 ◽  
Author(s):  
Laura Anne Wortinger ◽  
Tor Endestad ◽  
Annika Maria D. Melinder ◽  
Merete Glenne Øie ◽  
Andre Sevenius ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Chronic Fatigue ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome

Resting-state functional connectivity, cognition, and fatigue in response to cognitive exertion: a novel study in adolescents with chronic fatigue syndrome

2019 ◽  
Vol 14 (5) ◽  
pp. 1815-1830 ◽  
Author(s):  
Elisha K. Josev ◽  
Charles B. Malpas ◽  
Marc L. Seal ◽  
Adam Scheinberg ◽  
Lionel Lubitz ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Chronic Fatigue ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome

scholarly journals (254) Altered resting state functional connectivity is correlated with fatigue and pain in patients with chronic fatigue syndrome

2016 ◽  
Vol 17 (4) ◽  
pp. S38-S39 ◽  
Author(s):  
J. Boissoneault ◽  
J. Letzen ◽  
A. O'Shea ◽  
S. Lai ◽  
M. Robinson ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Chronic Fatigue ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome

scholarly journals Abnormal resting state functional connectivity in patients with chronic fatigue syndrome: an arterial spin-labeling fMRI study

2016 ◽  
Vol 34 (4) ◽  
pp. 603-608 ◽  
Author(s):  
Jeff Boissoneault ◽  
Janelle Letzen ◽  
Song Lai ◽  
Andrew O'Shea ◽  
Jason Craggs ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Resting State ◽  
Arterial Spin Labeling ◽  
Chronic Fatigue ◽  
Spin Labeling ◽  
Resting State Functional Connectivity ◽  
Fatigue Syndrome ◽  
Fmri Study

scholarly journals Individual Patterns of Abnormality in Resting-State Functional Connectivity Reveal Two Data-Driven PTSD Subgroups

2020 ◽  
Vol 177 (3) ◽  
pp. 244-253 ◽  
Author(s):  
Adi Maron-Katz ◽  
Yu Zhang ◽  
Manjari Narayan ◽  
Wei Wu ◽  
Russell T. Toll ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Data Driven ◽  
Resting State Functional Connectivity

The reification of the clinical diagnosis of myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) as an immune and oxidative stress disorder: construction of a data-driven nomothethic network and exposure of ME/CFS subgroups.

2021 ◽  
Vol 21 ◽  
Author(s):  
Michael Maes ◽  
Marta Kubera ◽  
Kristina Stoyanova ◽  
Jean-Claude Leunis
Keyword(s):  
Chronic Fatigue Syndrome ◽  
T Cell Activation ◽  
Bacterial Translocation ◽  
Coenzyme Q10 ◽  
Cell Activation ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Data Driven ◽  
Fatigue Syndrome ◽  
Fierce Competition

: The approach towards myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) remains in a permanent state of crisis with fierce competition between the psychosocial school, which attributes ME/CFS to the perception of effort, and the medical approach (Maes and Twisk, BMC Med, 2010,8,35). The aim of this paper is to review how to construct a nomothetic model of ME/CFS using Partial Least Squares (PLS) path analysis and ensembling causome (bacterial translocation as assessed with IgM/IgA responses to LPS), protectome (lowered coenzyme Q10), adverse outcome pathways (AOP) including increased lysozyme, CD38+ T cell activation, cell-mediated immune activation (CMI), and IgM responses to oxidative specific epitopes and NO-adducts (IgM OSENO). Using PLS, we trained, tested and validated this knowledge- and data-driven causal ME/CFS model, which showed adequate convergence, construct and replicability validity. This bottom-up explicit data model of ME/CFS objectivates the descriptive narratives of the ME/CFS phenome, using causome-protectome-AOP data, whereby the abstract concept ME/CFS is translated into pathways, thereby securing the reification of the ME/CFS phenome. We found that 31.6% of the variance in the physiosomatic symptom dimension of ME/CFS was explained by the cumulative effects of CMI and CD38+ activation, IgM OSENO, IgA LPS, lysozyme (all positive) and coenzyme Q10 (inversely). Cluster analysis performed on the PLS-generated latent vector scores of all feature sets exposed three distinct immune groups of ME/CFS, namely one with increased lysozyme, one with increased CMI + CD38 activation + depressive symptoms, and another with increased bacterial translocation + autoimmune responses to OSENO.

scholarly journals Static and dynamic functional connectivity in patients with chronic fatigue syndrome: use of arterial spin labelling fMRI

2016 ◽  
Vol 38 (1) ◽  
pp. 128-137 ◽  
Author(s):  
Jeff Boissoneault ◽  
Janelle Letzen ◽  
Song Lai ◽  
Michael E. Robinson ◽  
Roland Staud
Keyword(s):  
Functional Connectivity ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Arterial Spin Labelling ◽  
Dynamic Functional Connectivity ◽  
Fatigue Syndrome ◽  
Spin Labelling

scholarly journals Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics

2019 ◽  
Author(s):  
Feng Han ◽  
Yameng Gu ◽  
Gregory L Brown ◽  
Xiang Zhang ◽  
Xiao Liu
Keyword(s):  
Functional Connectivity ◽  
Cortical Thickness ◽  
Resting State ◽  
Canonical Correlation ◽  
Data Driven ◽  
Resting State Functional Connectivity ◽  
Functional Brain ◽  
Demographic Traits ◽  
Cortical Hierarchy ◽  
Maximal Thickness

AbstractWe employed a data-driven canonical correlation analysis to investigate the population covariance of whole-brain cortical thickness, resting-state functional connectivity, and hundreds of behavioral/demographic measures in a large cohort of individuals. We found that the maximal thickness-behavior correlation and the maximal connectivity-behavior correlation are largely converged along the same direction across subjects, which is characterized by very specific modulations of all three modalities. Along this direction, individuals tend to have more positive and less negative behavioral/demographic traits, and more importantly, their functional connectivity and cortical thickness show a similar divergent modulation across the cortical hierarchy: thinner cortex and stronger functional connectivity at the higher-order cognitive regions whereas thicker cortex and weaker connectivity at the lower-order sensory/motor areas. These findings provide a unique link between structural and functional brain organizations and human behavior. Specifically, they suggest that the cross-hierarchy contrast of structural and functional brain measures may be a specific feature linked to the overall goodness of behavior and demographics.

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