Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 54 min ago
Peer-reviewedCC BY 4.0Frontiers in Psychiatry

Neuroprogression of chronic stress-induced depression via longitudinal fMRI

  1. 1Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University
  2. 2International Academic Center of Complex Systems, Beijing Normal University
  3. 3School of Systems Science, Beijing Normal University

Abstract

Background: Depression is increasingly viewed as a progressive neurobiological trajectory, yet the spatiotemporal transition from early mood dysregulation to chronic network failure, and its relation to disease-related functional decline, remains unclear. Using a chronic unpredictable mild stress (CUMS) mouse model, we aimed to map the longitudinal brain transformation from local spontaneous activity to global network dysfunction via multi-parametric MRI.

Methods: Longitudinal functional magnetic resonance imaging (fMRI) was performed on a cohort of CUMS mice (n = 7) across three longitudinal time points: Day 0 (baseline), Day 5 CUMS, and Day 10 CUMS. We integrated four analytical approaches: fALFF, static functional connectivity, graph theory, and dFC/dALFF.

Results: Depression progression followed a hierarchical spatiotemporal dissolution. fALFF revealed sequential breakdown of local hubs in caudoputamen, medial prefrontal cortex, and hippocampus, suggesting involvement of motor-motivational and executive deficits. sFC showed sensory-limbic uncoupling between caudoputamen and visual areas, and altered mPFC-AON connectivity and hippocampal prefrontal (HPF-PL) dysconnectivity, indicating limbic-olfactory loop disruption. Graph theory indicated preserved global node efficiency but widespread loss of node local efficiency and clustering. Dynamic analyses uncovered a shift from flexible network reconfiguration to dynamic rigidity.

Conclusion: Longitudinal CUMS exposure was associated with progressive alterations in functional network organization. The prefrontal olfactory dysconnectivity and onset of dynamic rigidity represent candidate multi-scale and longitudinal imaging features that warrant future validation.

Related

  1. Impaired astrocytic Cx43 syncytial network in lateral habenula affects synaptic connectivity and drives adolescent stress-induced depression
    H. Li, Q. Wang, Y. Su +13
    bioRxivPreprintAll rights reservedFull textNeurosciencebioRxiv
  2. Unpredictable chronic stress produces a mixed depression/anxiety behavioral profile in zebrafish
    T. R. R. Rodrigues, A. R. B. Pantoja, A. O. S. de Meneses +4
    bioRxivPreprintCC BYFull textNeurosciencebioRxiv
  3. Disrupted synapses: prefrontal cortex-reward circuit dysfunction in stress-induced depression-like behaviors
    Ashraf Mahmud, Mehmet Akif Karaman
    Frontiers in Cellular NeurosciencePeer-reviewedCC BYFull text7 citedNeuroscienceOpenAlex
  4. Dynamic dopamine signaling, prediction error, and microcircuit mechanisms in stress-induced depression-like behaviors.
    Ashraf Mahmud, Ljupcho Efremov
    Frontiers in cell and developmental biologyPeer-reviewedCC BYFull textNeuroscienceEurope PMC
  5. Low-Dose Interleukin-2 Resolves Stress-Induced Chronic Sensitization Independent of Opioid Receptor Signaling
    R. R. Simoes, S. Kraus, J. Zhang +7
    bioRxivPreprintCC BYFull textNeurosciencebioRxiv
BibTeX
@article{yang2026neuroprogression,
  title = {{Neuroprogression of chronic stress-induced depression via longitudinal fMRI}},
  author = {Yu Yang and Huixia Jia and He Liu},
  journal = {Frontiers in Psychiatry},
  year = {2026},
  month = oct,
  doi = {10.3389/fpsyt.2026.1898694},
  url = {https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1898694/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Neuroprogression of chronic stress-induced depression via longitudinal fMRI
AU  - Yu Yang
AU  - Huixia Jia
AU  - He Liu
PY  - 2026
DA  - 2026/10/14
JO  - Frontiers in Psychiatry
DO  - 10.3389/fpsyt.2026.1898694
UR  - https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1898694/full
AB  - Background: Depression is increasingly viewed as a progressive neurobiological trajectory, yet the spatiotemporal transition from early mood dysregulation to chronic network failure, and its relation to disease-related functional decline, remains unclear. Using a chronic unpredictable mild stress (CUMS) mouse model, we aimed to map the longitudinal brain transformation from local spontaneous activity to global network dysfunction via multi-parametric MRI.  Methods: Longitudinal functional magnetic resonance imaging (fMRI) was performed on a cohort of CUMS mice (n = 7) across three longitudinal time points: Day 0 (baseline), Day 5 CUMS, and Day 10 CUMS. We integrated four analytical approaches: fALFF, static functional connectivity, graph theory, and dFC/dALFF.  Results: Depression progression followed a hierarchical spatiotemporal dissolution. fALFF revealed sequential breakdown of local hubs in caudoputamen, medial prefrontal cortex, and hippocampus, suggesting involvement of motor-motivational and executive deficits. sFC showed sensory-limbic uncoupling between caudoputamen and visual areas, and altered mPFC-AON connectivity and hippocampal prefrontal (HPF-PL) dysconnectivity, indicating limbic-olfactory loop disruption. Graph theory indicated preserved global node efficiency but widespread loss of node local efficiency and clustering. Dynamic analyses uncovered a shift from flexible network reconfiguration to dynamic rigidity.  Conclusion: Longitudinal CUMS exposure was associated with progressive alterations in functional network organization. The prefrontal olfactory dysconnectivity and onset of dynamic rigidity represent candidate multi-scale and longitudinal imaging features that warrant future validation.
SN  - 1664-0640
ER  -