Cited by 208Functional Brain Connectivity StudiesTreatment of Major DepressionSuicide and Self-Harm Studies

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More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients

Li, Jiao, Duan, Xujun, Cui, Qian, Chen, Huafu, Liao, Wei·2019·Psychological Medicine

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Abstract

Background: Major depressive disorder (MDD) is associated with high risk of suicide. Conventional neuroimaging works showed abnormalities of static brain activity and connectivity in MDD with suicidal ideation (SI). However, little is known regarding alterations of brain dynamics. More broadly, it remains unclear whether temporal dynamics of the brain activity could predict the prognosis of SI. Methods: We included MDD patients (n = 48) with and without SI and age-, gender-, and education-matched healthy controls (n = 30) who underwent resting-state functional magnetic resonance imaging. We first assessed dynamic amplitude of low-frequency fluctuation (dALFF) – a proxy for intrinsic brain activity (iBA) – using sliding-window analysis. Furthermore, the temporal variability (dynamics) of iBA was quantified as the variance of dALFF over time. In addition, the prediction of the severity of SI from temporal variability was conducted using a general linear model. Results: Compared with MDD without SI, the SI group showed decreased brain dynamics (less temporal variability) in the dorsal anterior cingulate cortex, the left orbital frontal cortex, the left inferior temporal gyrus, and the left hippocampus. Importantly, these temporal variabilities could be used to predict the severity of SI (r = 0.43, p = 0.03), whereas static ALFF could not in the current data set. Conclusions: These findings suggest that alterations of temporal variability in regions involved in executive and emotional processing are associated with SI in MDD patients. This novel predictive model using the dynamics of iBA could be useful in developing neuromarkers for clinical applications.

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Authors: Li, J., Duan, X., Cui, Q., Chen, H., & Liao, W.
Affiliations: University of Electronic Science and Technology of China (CN)
Corresponding author: Liao, Wei
ORCID: Duan, Xujun
Cui, Qian
Chen, Huafu
Liao, Wei
Venue: Psychological Medicine
Publisher: Cambridge University Press (CUP)
Published: 2018-06-18
Volume: 49
Issue: 5
Pages: 852-860
ISSN: 0033-2917 (ISSN-L)
1469-8978
DOI: 10.1017/s0033291718001502
OpenAlex: W2809054788
Cited by: 208
References: 80
Citations by year: 2026: 14 · 2025: 26 · 2024: 17 · 2023: 30 · 2022: 31 · 2021: 36 · 2020: 37 · 2019: 15 · 2018: 2
FWCI: 13.40
Type: journal article
Language: en
Open access: closed
Licence: www.cambridge.org/core/terms (unspecified)
Locations: Psychological Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: Higher Education Discipline Innovation Project
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
Keywords: suicidal ideation, major depressive disorder, intrinsic brain activity, dynamic amplitude of low-frequency fluctuation, temporal dynamics of brain activity, resting-state functional connectivity, dorsal anterior cingulate cortex, orbitofrontal cortex, hippocampus, inferior temporal gyrus, neuromarkers, suicide risk prediction
MeSH terms: Adult, Brain Mapping, Cerebral Cortex, Major Depressive Disorder, Depressive Disorder, Major, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Linear Models, Young Adult, Suicidal Ideation

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More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients

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