Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a resting-state fMRI study

Motivation: identifying the neural pathology mechanisms has the potential value to elucidate risk factors and prognostic markers for subthreshold depression(StD)Goal(s): FNC is a useful imaging tool in detecting the neuro-mechanism of the brain Approach: This study involved in the static functional network connectivity (sFNC) and dynamic functional network connectivity (dFNC) to investigate the FNCdifferences between the StD and HCs groupsResults: StD demonstrated altered FNC in executive control network (ECN), default mode network (DMN), sensorimotor network (SMN) and dorsal attentional network (DAN), in addition, Std had increased mean dwell time and fraction time in a weak connected state concerning the dFNC analysis. Impact: The sFNC and dFNC findings could enrich our understanding of the large-scale resting-state FNC abnormalities in StD individuals, which could provide insights for a better understanding of the behind neural mechanisms

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3148
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a resting-state fMRI study

Zhipeng Guo, Xinfeng Liu, Dan Liao, Rongpin Wang
2 links
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a resting-state fMRI study

Zhipeng Guo, Xinfeng Liu, Dan Liao, Rongpin Wang
article en

Abstract

Motivation: identifying the neural pathology mechanisms has the potential value to elucidate risk factors and prognostic markers for subthreshold depression(StD)Goal(s): FNC is a useful imaging tool in detecting the neuro-mechanism of the brain Approach: This study involved in the static functional network connectivity (sFNC) and dynamic functional network connectivity (dFNC) to investigate the FNCdifferences between the StD and HCs groupsResults: StD demonstrated altered FNC in executive control network (ECN), default mode network (DMN), sensorimotor network (SMN) and dorsal attentional network (DAN), in addition, Std had increased mean dwell time and fraction time in a weak connected state concerning the dFNC analysis. Impact: The sFNC and dFNC findings could enrich our understanding of the large-scale resting-state FNC abnormalities in StD individuals, which could provide insights for a better understanding of the behind neural mechanisms

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 78%
Functional Brain Connectivity Studies
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Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a resting-state fMRI study — Zhipeng Guo, Xinfeng Liu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS