ArticleMolecular psychiatry2026
Unraveling spatiotemporal dynamics in transdiagnosis subtypes of major depressive disorder and bipolar disorder: insights from co-activation patterns and treatment response.
Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Spatiotemporal brain-state dynamics delineate executive function subtypes in school-aged autism: evidence from co-activation patterns and a four-year follow-up.Molecular autism · 2026Article
- The association between spatiotemporal coupling of default mode network and behaviors is specifically modulated by peripheral inflammation in major depressive disorder.BMC psychiatry · 2026Article
- Breaking the Alzheimer's Treatment Stalemate: Synergistic Application Strategies of Nanomaterials and Pharmaceutical Agents.Molecular neurobiology · 2025Review
- Bidirectional Causal Associations Between Plasma Metabolites and Parkinson's Disease.Molecular neurobiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) and bipolar disorder (BD) share numerous overlapping symptoms and clinical features, both classified as mood disorders (MD). Despite the proposal of several transdiagnostic subtypes, the dynamic features and network-level neurobiological mechanisms underlying these subtypes remain poorly understood. In the current study, data from two independent cohorts were used to investigate the spatiotemporal features of brain activity. Cohort1 included 112 MD patients and 142 healthy controls (HC) for cross-sectional comparison, while Cohort2 comprised 423 MD patients who underwent MRI scanning before and after one week in-hospital treatment. Initially, two subtypes were identified based on their amplitude of low-frequency fluctuation (ALFF) maps, and their brain spatiotemporal dynamics were further explored using co-activation patterns (CAPs). Four recurrent CAP states were identified: CAP2 and CAP3 were primarily associated with default mode network (DMN), while CAP1 and CAP4 were associated with frontoparietal network (FPN). Results showed that Subtype1 exhibited higher occurrence, persistence, and transition probabilities of DMN-related states, along with lower dynamics in FPN-related states. In contrast, Subtype2 showed higher occurrence and persistence in FPN-related states. Further analysis revealed that these dynamic features tended to revert toward normal states after one week treatment. Moreover, the dynamic characteristics in Subtype1 were associated with higher suicidality and lower agitation symptoms, while those in Subtype2 were correlated with somatic anxiety and systemic symptoms. Our study provides insights into the spatiotemporal dynamics of brain intrinsic states in different subtypes of MD, revealing the variations in MD subtypes and treatment response from a dynamic perspective and offering a pathway for further elucidation of their underlying biological mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.