scholarly journals Disrupted functional brain network organization in patients with obstructive sleep apnea

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Bumhee Park ◽  
Jose A. Palomares ◽  
Mary A. Woo ◽  
Daniel W. Kang ◽  
Paul M. Macey ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Brain Network ◽  
Network Organization ◽  
Functional Brain ◽  
Obstructive Sleep ◽  
Functional Brain Network

scholarly journals A whole-brain and cross-diagnostic perspective on functional brain network dysfunction

2018 ◽  
Author(s):  
Marjolein Spronk ◽  
Kaustubh Kulkarni ◽  
Jie Lisa Ji ◽  
Brian P. Keane ◽  
Alan Anticevic ◽  
...  
Keyword(s):  
Mental Illness ◽  
Resting State ◽  
Brain Network ◽  
Functional Network ◽  
Graph Distance ◽  
Network Organization ◽  
Whole Brain ◽  
Functional Brain ◽  
Functional Brain Network ◽  
Mental Diseases

AbstractA wide variety of mental disorders have been associated with resting-state functional network alterations, which are thought to contribute to the cognitive changes underlying mental illness. These observations have seemed to support various theories postulating large-scale disruptions of brain systems in mental illness. However, existing approaches isolate differences in network organization without putting those differences in broad, whole-brain perspective. Using a graph distance measure – connectome-wide correlation – we found that whole-brain resting-state functional network organization in humans is highly similar across a variety of mental diseases and healthy controls. This similarity was observed across autism spectrum disorder, attention-deficit hyperactivity disorder, and schizophrenia. Nonetheless, subtle differences in network graph distance were predictive of diagnosis, suggesting that while functional connectomes differ little across health and disease those differences are informative. Such small network alterations may reflect the fact that most psychiatric patients maintain overall cognitive abilities similar to those of healthy individuals (relative to, e.g., the most severe schizophrenia cases), such that whole-brain functional network organization is expected to differ only subtly even for mental diseases with devastating effects on everyday life. These results suggest a need to reevaluate neurocognitive theories of mental illness, with a role for subtle functional brain network changes in the production of an array of mental diseases.

scholarly journals Altered structural brain network resulting from white matter injury in obstructive sleep apnea

SLEEP ◽  
2019 ◽  
Vol 42 (9) ◽  
Author(s):  
Min-Hee Lee ◽  
Chang-Ho Yun ◽  
Areum Min ◽  
Yoon Ho Hwang ◽  
Seung Ku Lee ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
White Matter ◽  
Tissue Injury ◽  
Brain Network ◽  
Global Network ◽  
P Value ◽  
Obstructive Sleep ◽  
Network Properties ◽  
Structural Brain

Abstract Study Objectives To assess, using fractional anisotropy (FA) analysis, alterations of brain network connectivity in adults with obstructive sleep apnea (OSA). Abnormal networks could mediate clinical functional deficits and reflect brain tissue injury. Methods Structural brain networks were constructed using diffusion tensor imaging (DTI) from 165 healthy (age 57.99 ± 6.02 years, male 27.9%) and 135 OSA participants (age 59.01 ± 5.91 years, male 28.9%) and global network properties (strength, global efficiency, and local efficiency) and regional efficiency were compared between groups. We examined MRI biomarkers of brain tissue injury using FA analysis and its effect on the network properties. Results Differences between groups of interest were noted in global network properties (p-value < 0.05, corrected), and regional efficiency (p-value < 0.05, corrected) in the left middle cingulate and paracingulate gyri, right posterior cingulate gyrus, and amygdala. In FA analysis, OSA participants showed lower FA values in white matter (WM) of the right transverse temporal, anterior cingulate and paracingulate gyri, and left postcentral, middle frontal and medial frontal gyri, and the putamen. After culling fiber tracts through WM which showed significant differences in FA, we observed no group difference in network properties. Conclusions Changes in WM integrity and structural connectivity are present in OSA participants. We found that the integrity of WM affected brain network properties. Brain network analysis may improve understanding of neurocognitive deficits in OSA, enable longitudinal tracking, and provides explanations for specific symptoms and recovery kinetics.

P3-308: Functional brain network organization in Alzheimer's disease

2013 ◽  
Vol 9 ◽  
pp. P670-P670 ◽  
Author(s):  
Hanneke de Waal ◽  
Cornelis Stam ◽  
Marieke Lansbergen ◽  
F. Maestú ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Brain Network ◽  
Network Organization ◽  
Functional Brain ◽  
Functional Brain Network

scholarly journals A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction

2020 ◽  
Vol 31 (1) ◽  
pp. 547-561
Author(s):  
Marjolein Spronk ◽  
Brian P Keane ◽  
Takuya Ito ◽  
Kaustubh Kulkarni ◽  
Jie Lisa Ji ◽  
...  
Keyword(s):  
Mental Illness ◽  
Mental Disorders ◽  
Resting State ◽  
Brain Network ◽  
Graph Distance ◽  
Network Organization ◽  
Whole Brain ◽  
Functional Brain ◽  
Functional Brain Network ◽  
Mental Diseases

Abstract A wide variety of mental disorders have been associated with resting-state functional network alterations, which are thought to contribute to the cognitive changes underlying mental illness. These observations appear to support theories postulating large-scale disruptions of brain systems in mental illness. However, existing approaches isolate differences in network organization without putting those differences in a broad, whole-brain perspective. Using a graph distance approach—connectome-wide similarity—we found that whole-brain resting-state functional network organization is highly similar across groups of individuals with and without a variety of mental diseases. This similarity was observed across autism spectrum disorder, attention-deficit hyperactivity disorder, and schizophrenia. Nonetheless, subtle differences in network graph distance were predictive of diagnosis, suggesting that while functional connectomes differ little across health and disease, those differences are informative. These results suggest a need to reevaluate neurocognitive theories of mental illness, with a role for subtle functional brain network changes in the production of an array of mental diseases. Such small network alterations suggest the possibility that small, well-targeted alterations to brain network organization may provide meaningful improvements for a variety of mental disorders.

Neural evidence for long-term marriage shaping the functional brain network organization between couples

NeuroImage ◽  
2019 ◽  
Vol 199 ◽  
pp. 87-92
Author(s):  
Lin Shi ◽  
Wutao Lou ◽  
Adrian Wong ◽  
Fan Zhang ◽  
Jill Abrigo ◽  
...  
Keyword(s):  
Brain Network ◽  
Network Organization ◽  
Functional Brain ◽  
Functional Brain Network

scholarly journals Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis

2020 ◽  
pp. 135245852097716
Author(s):  
Ilse M Nauta ◽  
Shanna D Kulik ◽  
Lucas C Breedt ◽  
Anand JC Eijlers ◽  
Eva MM Strijbis ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Structural Damage ◽  
Minimum Spanning Tree ◽  
Brain Network ◽  
Network Organization ◽  
Network Integration ◽  
Beta Band ◽  
Cross Sectional ◽  
Functional Brain ◽  
Functional Brain Network

Background: Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. Objective: To investigate whether functional brain network organization measured with magnetoencephalography (MEG) predicts cognitive decline in MS patients after 5 years and to explore its value beyond structural pathology. Methods: Resting-state MEG recordings, structural MRI, and neuropsychological assessments were analyzed of 146 MS patients, and 100 patients had a 5-year follow-up neuropsychological assessment. Network properties of the minimum spanning tree (i.e. backbone of the functional brain network) indicating network integration and overload were related to baseline and longitudinal cognition, correcting for structural damage. Results: A more integrated beta band network (i.e. smaller diameter) and a less integrated delta band network (i.e. lower leaf fraction) predicted cognitive decline after 5 years ([Formula: see text]), independent of structural damage. Cross-sectional analyses showed that a less integrated network (e.g. lower tree hierarchy) related to worse cognition, independent of frequency band. Conclusions: The level of functional brain network integration was an independent predictive marker of cognitive decline, in addition to the severity of structural damage. This work thereby indicates the promise of MEG-derived network measures in predicting disease progression in MS.

scholarly journals Lateralized Resting-State Functional Brain Network Organization Changes in Heart Failure

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0155894 ◽  
Author(s):  
Bumhee Park ◽  
Bhaswati Roy ◽  
Mary A. Woo ◽  
Jose A. Palomares ◽  
Gregg C. Fonarow ◽  
...  
Keyword(s):  
Heart Failure ◽  
Resting State ◽  
Brain Network ◽  
Network Organization ◽  
Functional Brain ◽  
Functional Brain Network

Structural and functional brain alterations in obstructive sleep apnea: a multimodal meta-analysis

2019 ◽  
Vol 54 ◽  
pp. 195-204 ◽  
Author(s):  
Xiao Huang ◽  
Shi Tang ◽  
Xiaojun Lyu ◽  
Changqiang Yang ◽  
Xiaoping Chen
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Functional Brain ◽  
Obstructive Sleep
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