A systematic review of resting-state functional-MRI studies in major depression

2012 ◽  
Vol 142 (1-3) ◽  
pp. 6-12 ◽  
Author(s):  
L. Wang ◽  
D.F. Hermens ◽  
I.B. Hickie ◽  
J. Lagopoulos
Keyword(s):  
Systematic Review ◽  
Major Depression ◽  
Functional Mri ◽  
Resting State ◽  
Mri Studies

scholarly journals A systematic review of structural and functional MRI studies on pain catastrophizing

2019 ◽  
Vol Volume 12 ◽  
pp. 1155-1178 ◽  
Author(s):  
Attila Galambos ◽  
Edina Szabó ◽  
Zita Nagy ◽  
Andrea Edit Édes ◽  
Natália Kocsel ◽  
...  
Keyword(s):  
Systematic Review ◽  
Functional Mri ◽  
Pain Catastrophizing ◽  
Mri Studies

scholarly journals A systematic review of resting state functional MRI connectivity changes and cognitive impairment in multiple sclerosis

2021 ◽  
Author(s):  
Danka Jandric ◽  
Anisha Doshi ◽  
Richelle Scott ◽  
David Paling ◽  
David Rog ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Cognitive Impairment ◽  
Functional Mri ◽  
Resting State ◽  
Narrative Synthesis ◽  
Clear Link ◽  
Study Methodology ◽  
Definition Of ◽  
Substantial Heterogeneity

Cognitive impairment is common in multiple sclerosis (MS) and resting state functional MRI (rs-fMRI) functional connectivity (FC) is increasingly used to study its pathophysiology. However, results remain difficult to interpret, showing both high and low FC associated with cognitive impairment. We conducted a systematic review of rs-fMRI studies in MS to understand whether the direction of FC change relates to cognitive dysfunction, and how this may be influenced by the choice of methodology. Embase, Medline and PsycINFO were searched for studies assessing cognitive function and rs-fMRI FC in adults with MS. Fifty-seven studies were included in a narrative synthesis. Of these, 50 found an association between cognitive impairment and FC abnormalities. Worse cognition was linked to high FC in 18 studies, and to low FC in 17 studies. Nine studies found patterns of both high and low FC related to poor cognitive performance, in different regions or for different MR metrics. There was no clear link to increased FC during early stages of MS and reduced FC in later stages, as predicted by common models of MS pathology. Throughout, we found substantial heterogeneity in study methodology, and carefully consider how this may impact on the observed findings. These results indicate an urgent need for greater standardisation in the field, in the choice of MRI analysis and the definition of cognitive impairment. Through this we will be closer to using rsfMRI FC as a biomarker in clinical studies, and as a tool to understand mechanisms underpinning cognitive symptoms in MS.

scholarly journals A systematic review of resting state functional MRI connectivity changes and cognitive impairment in multiple sclerosis

2021 ◽  
Author(s):  
Danka Jandric ◽  
Anisha Doshi ◽  
Richelle Scott ◽  
David Paling ◽  
David Rog ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Cognitive Impairment ◽  
Functional Mri ◽  
Resting State

scholarly journals Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts

NeuroImage ◽  
2019 ◽  
Vol 185 ◽  
pp. 664-684 ◽  
Author(s):  
Han Zhang ◽  
Dinggang Shen ◽  
Weili Lin
Keyword(s):  
Functional Mri ◽  
Resting State ◽  
Gap Filling ◽  
Mri Studies

scholarly journals Acute ischaemic stroke alters the brain’s preference for distinct dynamic connectivity states

Brain ◽  
2020 ◽  
Vol 143 (5) ◽  
pp. 1525-1540 ◽  
Author(s):  
Anna K Bonkhoff ◽  
Flor A Espinoza ◽  
Harshvardhan Gazula ◽  
Victor M Vergara ◽  
Lukas Hensel ◽  
...  
Keyword(s):  
Ischaemic Stroke ◽  
Functional Mri ◽  
Acute Ischaemic Stroke ◽  
Resting State ◽  
Network Connectivity ◽  
Cortical Reorganization ◽  
Connectivity Pattern ◽  
Stroke Patients ◽  
Mri Studies ◽  
Dynamic Connectivity

Abstract Acute ischaemic stroke disturbs healthy brain organization, prompting subsequent plasticity and reorganization to compensate for the loss of specialized neural tissue and function. Static resting state functional MRI studies have already furthered our understanding of cerebral reorganization by estimating stroke-induced changes in network connectivity aggregated over the duration of several minutes. In this study, we used dynamic resting state functional MRI analyses to increase temporal resolution to seconds and explore transient configurations of motor network connectivity in acute stroke. To this end, we collected resting state functional MRI data of 31 patients with acute ischaemic stroke and 17 age-matched healthy control subjects. Stroke patients presented with moderate to severe hand motor deficits. By estimating dynamic functional connectivity within a sliding window framework, we identified three distinct connectivity configurations of motor-related networks. Motor networks were organized into three regional domains, i.e. a cortical, subcortical and cerebellar domain. The dynamic connectivity patterns of stroke patients diverged from those of healthy controls depending on the severity of the initial motor impairment. Moderately affected patients (n = 18) spent significantly more time in a weakly connected configuration that was characterized by low levels of connectivity, both locally as well as between distant regions. In contrast, severely affected patients (n = 13) showed a significant preference for transitions into a spatially segregated connectivity configuration. This configuration featured particularly high levels of local connectivity within the three regional domains as well as anti-correlated connectivity between distant networks across domains. A third connectivity configuration represented an intermediate connectivity pattern compared to the preceding two, and predominantly encompassed decreased interhemispheric connectivity between cortical motor networks independent of individual deficit severity. Alterations within this third configuration thus closely resembled previously reported ones originating from static resting state functional MRI studies post-stroke. In summary, acute ischaemic stroke not only prompted changes in connectivity between distinct networks, but it also caused characteristic changes in temporal properties of large-scale network interactions depending on the severity of the individual deficit. These findings offer new vistas on the dynamic neural mechanisms underlying acute neurological symptoms, cortical reorganization and treatment effects in stroke patients.

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