scholarly journals Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

2018 ◽  
Author(s):  
Einar August Høgestøl ◽  
Gro Owren Nygaard ◽  
Dag Alnæs ◽  
Mona K. Beyer ◽  
Lars T. Westlye ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Default Mode Network ◽  
Symptom Burden ◽  
Network Connectivity ◽  
Principal Component ◽  
Brain Network ◽  
Common Symptom ◽  
Linear Regression Models ◽  
Default Mode ◽  
Network Function

Background: Fatigue and depression are frequent and often co-occurring symptoms in multiple sclerosis (MS). Resting-state functional magnetic resonance imaging (rs-fMRI) represents a promising tool for disentangling differential associations between depression and fatigue and brain network function and connectivity. In this study we tested for associations between symptoms of fatigue and depression and DMN connectivity in patients with MS. Materials and methods: Seventy-four MS patients were included on average 14 months after diagnosis. They underwent MRI scanning of the brain including rs-fMRI, and symptoms of fatigue and depression were assessed with Fatigue Severity Scale (FSS) and Beck Depression Inventory II (BDI). A principal component analysis (PCA) on FSS and BDI scores was performed, and the component scores were analysed using linear regression models to test for associations with default mode network (DMN) connectivity. Results: We observed higher DMN connectivity with higher scores on the primary principal component reflecting common symptom burden for fatigue and depression (Cohen's f2=0.075, t=2.17, p=0.03). The secondary principal component reflecting a pattern of low fatigue scores with high scores of depression was associated with lower DMN connectivity (Cohen's f2=0.067, t=-2.1, p=0.04). Using continuous mean scores of FSS we also observed higher DMN connectivity with higher symptom burden (t=3.1, p=0.003), but no significant associations between continuous sum scores of BDI and DMN connectivity (t=0.8, p=0.4). Conclusion: Multivariate decomposition of FSS and BDI data supported both overlapping and unique manifestation of fatigue and depression in MS patients. Rs-fMRI analyses showed that symptoms of fatigue and depression was reflected in altered DMN connectivity, and that higher DMN activity was seen in MS patients with fatigue even with low depression scores.

scholarly journals Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity

2020 ◽  
Author(s):  
N. Kohn ◽  
J. Szopinska-Tokov ◽  
A. Llera ◽  
C. Beckmann ◽  
A. Arias Vasquez ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Default Mode Network ◽  
Large Scale ◽  
Network Connectivity ◽  
Brain Network ◽  
Imaging Data ◽  
Microbial Composition ◽  
Attention Networks ◽  
Default Mode ◽  
Brain Network Connectivity

AbstractResearch on the gut-brain axis has accelerated substantially over the course of the last years. Many reviews have outlined the important implications of understanding the relation of the gut microbiota with human brain function and behavior. One substantial drawback in integrating gut microbiome and brain data is the lack of integrative multivariate approaches that enable capturing variance in both modalities simultaneously. To address this issue, we applied a linked independent component analysis (LICA) to microbiota and brain connectivity data.We analyzed data from 58 healthy females (mean age = 21.5 years). Magnetic Resonance Imaging data were acquired using resting state functional imaging data. The assessment of gut microbial composition from feces was based on sequencing of the V4 16S rRNA gene region. We used the LICA model to simultaneously factorize the subjects’ large-scale brain networks and microbiome relative abundance data into 10 independent components of spatial and abundance variation.LICA decomposition resulted in four components with non-marginal contribution of the microbiota data. The default mode network featured strongly in three components, whereas the two-lateralized fronto-parietal attention networks contributed to one component. The executive-control (with the default mode) network was associated to another component. We found the abundance of Prevotella genus was associated to the strength of expression of all networks, whereas Bifidobacterium was associated with the default mode and frontoparietal-attention networks.We provide the first exploratory evidence for multivariate associative patterns between the gut microbiota and brain network connectivity in healthy humans, taking into account the complexity of both systems.

scholarly journals Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0210375 ◽  
Author(s):  
Einar August Høgestøl ◽  
Gro Owren Nygaard ◽  
Dag Alnæs ◽  
Mona K. Beyer ◽  
Lars T. Westlye ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode

scholarly journals Disrupting The Resting State: Meta-Analytic Evidence That Mindfulness Training Alters Default Mode Network Connectivity

2022 ◽  
Author(s):  
Hadley Rahrig ◽  
David R. Vago ◽  
Matthew Passarelli ◽  
Allison Auten ◽  
Nicholas A. Lynn ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Meta Analysis ◽  
Network Connectivity ◽  
Posterior Cingulate Cortex ◽  
Brain Network ◽  
Mindfulness Training ◽  
Resting State Functional Connectivity ◽  
Default Mode ◽  
Brain Network Connectivity

Abstract This meta-analysis sought to expand upon neurobiological models of mindfulness through investigation of inherent brain network connectivity outcomes, indexed via resting state functional connectivity (rsFC). We conducted a systematic review and meta-analysis of rsFC as an outcome of mindfulness training (MT) relative to structurally-equivalent programs, with the hypothesis that that MT would increase cross-network connectivity between nodes of the Default Mode Network (DMN), Salience Network (SN), and Frontoparietal Control Network (FPCN) as a mechanism of internally-oriented attentional control. Texts were identified from the databases: MEDLINE/PubMed, ERIC, PSYCINFO, ProQuest, Scopus, and Web of Sciences; and were screened for inclusion based on experimental/quasi-experimental trial design and use of standardized mindfulness-based interventions. RsFC effects were extracted from twelve studies (mindfulness n = 226; control n = 204). Voxel-based meta-analysis revealed significantly greater rsFC (MT > control) between the left middle cingulate (Hedge’s g = .234, p = 0288, I2 = 15.87), located within the SN, and the posterior cingulate cortex, a focal hub of the DMN. Egger’s test for publication bias was nonsignificant, bias = 2.17, p = .162. In support of our hypothesis, results suggest that MT targets internetwork (SN-DMN) connectivity implicated in the flexible control of internally-oriented attention.

Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity

2013 ◽  
Vol 44 (10) ◽  
pp. 2041-2051 ◽  
Author(s):  
F. Sambataro ◽  
N. D. Wolf ◽  
M. Pennuto ◽  
N. Vasic ◽  
R. C. Wolf
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Large Scale ◽  
Critical Role ◽  
Low Frequency ◽  
Network Connectivity ◽  
Brain Regions ◽  
Default Mode ◽  
Network Function ◽  
Functional Relevance

BackgroundMajor depressive disorder (MDD) is characterized by alterations in brain function that are identifiable also during the brain's ‘resting state’. One functional network that is disrupted in this disorder is the default mode network (DMN), a set of large-scale connected brain regions that oscillate with low-frequency fluctuations and are more active during rest relative to a goal-directed task. Recent studies support the idea that the DMN is not a unitary system, but rather is composed of smaller and distinct functional subsystems that interact with each other. The functional relevance of these subsystems in depression, however, is unclear.MethodHere, we investigated the functional connectivity of distinct DMN subsystems and their interplay in depression using resting-state functional magnetic resonance imaging.ResultsWe show that patients with MDD exhibit increased within-network connectivity in posterior, ventral and core DMN subsystems along with reduced interplay from the anterior to the ventral DMN subsystems.ConclusionsThese data suggest that MDD is characterized by alterations of subsystems within the DMN as well as of their interactions. Our findings highlight a critical role of DMN circuitry in the pathophysiology of MDD, thus suggesting these subsystems as potential therapeutic targets.

scholarly journals Suppressing Anterior Cingulate Cortex Modulates Default Mode Network and Behavior in Awake Rats

2020 ◽  
Vol 31 (1) ◽  
pp. 312-323 ◽  
Author(s):  
Wenyu Tu ◽  
Zilu Ma ◽  
Yuncong Ma ◽  
David Dopfel ◽  
Nanyin Zhang
Keyword(s):  
Anterior Cingulate Cortex ◽  
Default Mode Network ◽  
Cingulate Cortex ◽  
Brain Network ◽  
Anterior Cingulate ◽  
Mammalian Brain ◽  
Dorsal Anterior Cingulate Cortex ◽  
Default Mode ◽  
Network Function ◽  
And Behavior

Abstract The default mode network (DMN) is a principal brain network in the mammalian brain. Although the DMN in humans has been extensively studied with respect to network structure, function, and clinical implications, our knowledge of DMN in animals remains limited. In particular, the functional role of DMN nodes, and how DMN organization relates to DMN-relevant behavior are still elusive. Here we investigated the causal relationship of inactivating a pivotal node of DMN (i.e., dorsal anterior cingulate cortex [dACC]) on DMN function, network organization, and behavior by combining chemogenetics, resting-state functional magnetic resonance imaging (rsfMRI) and behavioral tests in awake rodents. We found that suppressing dACC activity profoundly changed the activity and connectivity of DMN, and these changes were associated with altered DMN-related behavior in animals. The chemo-rsfMRI-behavior approach opens an avenue to mechanistically dissecting the relationships between a specific node, brain network function, and behavior. Our data suggest that, like in humans, DMN in rodents is a functional network with coordinated activity that mediates behavior.

Increased Default Mode Network Connectivity Following EEG Neurofeedback in PTSD

2012 ◽  
Author(s):  
Rosemarie Kluetsch ◽  
Tomas Ros ◽  
Jean Theberge ◽  
Paul Frewen ◽  
Christian Schmahl ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode ◽  
Eeg Neurofeedback

Effect of chemotherapy on default mode network connectivity in older women with breast cancer

2021 ◽  
Author(s):  
Bihong T. Chen ◽  
Zikuan Chen ◽  
Sunita K. Patel ◽  
Russell C. Rockne ◽  
Chi Wah Wong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Older Women ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode

Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study

2021 ◽  
Author(s):  
Thamires Naela Cardoso Magalhães ◽  
Christian Luiz Baptista Gerbelli ◽  
Luciana Ramalho Pimentel-Silva ◽  
Brunno Machado de Campos ◽  
Thiago Junqueira Ribeiro de Rezende ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Longitudinal Study ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode

Default mode network connectivity and treatment response in geriatric depression

2021 ◽  
Vol 29 (4) ◽  
pp. S104-S105
Author(s):  
Lisa Kilpatrick ◽  
Beatrix Krause-Sorio ◽  
Prabha Siddarth ◽  
Katherine Narr ◽  
Helen Lavretsky
Keyword(s):  
Treatment Response ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Geriatric Depression ◽  
Default Mode
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