The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, other studies have reported lower rs-fMRI activity and functional connectivity (85, 86, 92, 93), probably due to use of different outcome measures of rs-fMRI activity, for example, regional homogeneity, fractional amplitude of low-frequency fluctuations among studies, and heterogeneity of suicidal ideation.”
From A brain-centric model of suicidal behavior (2020) · cites this paper as [93]
Citations
Cites
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
Yan, C., Wang, X., Zuo, X., & Zang, Y. (2016) · Neuroinformatics · doi:10.1007/s12021-016-9299-4 · Cited by 3,935
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774
Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487
Anterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance
Carter, C. S., Braver, T. S., Barch, D. M., Botvinick, M. M., Noll, D., & Cohen, J. D. (1998) · Science · doi:10.1126/science.280.5364.747 · Cited by 3,273
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992
Research works printed but not linked: 3
- Kohavi, 1995, Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1137
- Wang, 2012, Reliability and validity of BSI-CV in evaluating the depression patients (in Chinese), China Journal of Health Psychology, 20, 159
- Posner, 1998, The Attentive Brain, 401
Cited by
Sorted by citations
Items 201–208 of 208
Li, S., Qin, W., Wei, S., Li, B., Leng, J., Xiao, J., Chen, Y., Shang, T., Li, T., Jiao, Y., et al. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112162
Lu, J., Cheng, Y., Zhang, X., Zhu, Z., Yu, Y., Wang, Y., Wu, J., Han, J., & Yu, N. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-01891-1
Lin, J., Zhang, J., Yang, Z., Shen, H., Zhong, L., Liu, H., Ou, Z., Yan, Z., ZHANG, W., Peng, K., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag122
Wang, M., Wei, J., Yan, Y., Dou, Y., Zhao, L., Ni, R., Yang, X., & Ma, X. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04047-w
Bergman, E., Miller, J. M., Sublette, M. E., Burke, A. K., Mann, J. J., & Lan, M. J. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122005
Lu, G., Guo, Y., Ma, L., Zheng, R., Wang, W., Han, S., & Zhang, Y. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111849
Jing, Y., Jing, L., Chen, X., Xu, J., li, D., Li, R., Li, X., Liu, J., Zhang, X., Zhou, J., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122486
Gou, S., Zhang, R., Tu, S., Turel, O., Lei, X., Qiu, J., Chen, H., Feng, T., & He, Q. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122258
Self-citation
Metadata
- 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
- 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
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review