Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study. (10th August 2021)
- Record Type:
- Journal Article
- Title:
- Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study. (10th August 2021)
- Main Title:
- Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study
- Authors:
- Ji, Shanling
Ma, Hongxia
Yao, Mengyuan
Guo, Man
Li, Shan
Chen, Nan
Liu, Xia
Shao, Xuexiao
Yao, Zhijun
Hu, Bin - Abstract:
- Highlights: Constructed dynamic directed networks based on the fMRI data of resting-state and BART task. Using the coefficient of variation (CV) to measure the temporal dynamics of brain activity. Revealed impulsive symptoms might be driven by altered dynamic activity in the left MTG (resting state) and SMA (task). The left SMG might be a therapeutic target to reduce the risk-taking behaviors in patients with BD-I. Abstract: Bipolar I disorder (BD-I) is associated with high-risk behaviors, such as suicide attempts and addictive substance abuse. Understanding brain activity exposure to risk decision making provides evidence for the treatment of BD-I patients. This study aimed to investigate the temporal dynamics of brain connectivity underlying risk decision making in patients with BD-I. A total of 101 subjects (48 BD-I patients and 53 age- and gender-matched healthy controls (HCs)) were included in this research. We analyzed the fMRI data acquired during Balloon Analog Risk Task (BART) performance. Voxel-wise dynamic effective connectivity (dEC) was employed to measure the activities in 264 brain regions. The coefficient of variation (CV) was calculated as temporal dynamics of brain connectivity. Finally, we used structural equation modeling (SEM) to determine the relationships of dEC in brain regions with clinical symptoms, behavior performances in patients. Results showed that BD-I patients exhibited increased dynamics in four lobes and exhibited decreased in three frontalHighlights: Constructed dynamic directed networks based on the fMRI data of resting-state and BART task. Using the coefficient of variation (CV) to measure the temporal dynamics of brain activity. Revealed impulsive symptoms might be driven by altered dynamic activity in the left MTG (resting state) and SMA (task). The left SMG might be a therapeutic target to reduce the risk-taking behaviors in patients with BD-I. Abstract: Bipolar I disorder (BD-I) is associated with high-risk behaviors, such as suicide attempts and addictive substance abuse. Understanding brain activity exposure to risk decision making provides evidence for the treatment of BD-I patients. This study aimed to investigate the temporal dynamics of brain connectivity underlying risk decision making in patients with BD-I. A total of 101 subjects (48 BD-I patients and 53 age- and gender-matched healthy controls (HCs)) were included in this research. We analyzed the fMRI data acquired during Balloon Analog Risk Task (BART) performance. Voxel-wise dynamic effective connectivity (dEC) was employed to measure the activities in 264 brain regions. The coefficient of variation (CV) was calculated as temporal dynamics of brain connectivity. Finally, we used structural equation modeling (SEM) to determine the relationships of dEC in brain regions with clinical symptoms, behavior performances in patients. Results showed that BD-I patients exhibited increased dynamics in four lobes and exhibited decreased in three frontal regions. Besides, SEM results showed that the impulsive symptoms of patients were affected by the dEC during both resting and task states. Moreover, the dEC of left supramarginal gyrus (SMG) influenced those of left orbital frontal and right cuneus (CUN), as well as the affective symptoms and BART behaviors in patients with BD-I. Our results suggested that the altered temporal dynamics of brain connectivity might contribute to the impulsivity of BD-I during resting and task states. More importantly, the left SMG might be a therapeutic target to reduce the risk behavior in BD-I patients. … (more)
- Is Part Of:
- Neuroscience. Volume 469(2021)
- Journal:
- Neuroscience
- Issue:
- Volume 469(2021)
- Issue Display:
- Volume 469, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 469
- Issue:
- 2021
- Issue Sort Value:
- 2021-0469-2021-0000
- Page Start:
- 68
- Page End:
- 78
- Publication Date:
- 2021-08-10
- Subjects:
- BART Balloon Analog Risk Task -- BD-I Bipolar I disorder -- CUN cuneus -- CV coefficient of variation -- deC dynamic effective connectivity -- FFG temporal fusiform gyrus -- ITG inferior temporal gyrus -- LING lingual gyrus -- MTG middle temporal gyrus -- ORBinf orbital part of inferior frontal gyrus -- ORBmid orbital part of middle frontal gyrus -- ORBsupmed medial orbital part of superior frontal gyrus -- SEM structural equation modeling -- SFGdor dorsolateral superior frontal gyrus -- SMA supplementary motor area -- SMG supramarginal gyrus -- STG superior temporal gyrus
temporal dynamics -- coefficient of variation -- supramarginal gyrus -- orbital frontal
Neurochemistry -- Periodicals
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Neurochimie -- Périodiques
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612.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064522 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03064522 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/03064522 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.neuroscience.2021.06.024 ↗
- Languages:
- English
- ISSNs:
- 0306-4522
- Deposit Type:
- Legaldeposit
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