Evidence map›Paper›PMID 42871390›Full record

ReviewFrontiers in integrative neuroscience2026

Neurobiological mechanisms and brain network dysfunction in major depressive disorder: an integrative review.

Dina Iskakova, Burcu Yener, Altyngul Kamzanova, Aygul Sitakanova, Rifat Hamoudi, Almira Kustubayeva

Abstract readReview
In one paragraph

Review in Frontiers in integrative neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dina Iskakova *Department of Biophysics, Biomedicine, and Neuroscience, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Burcu Yener *Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Altyngul KamzanovaDepartment of Biophysics, Biomedicine, and Neuroscience, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Aygul SitakanovaDepartment of Psychiatry and Narcology, S.D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Rifat HamoudiResearch Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Almira KustubayevaDepartment of Biophysics, Biomedicine, and Neuroscience, Al-Farabi Kazakh National University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a prevalent and disabling psychiatric disorder characterized by persistent mood disturbances, cognitive impairments, and significant systemic consequences. Despite its substantial clinical burden, diagnosis remains challenging because current approaches rely largely on subjective symptom-based assessments and are complicated by marked biological and clinical heterogeneity. In this review, we synthesize findings from neuroimaging, electrophysiology, genetics, and molecular studies to provide an integrated overview of the structural, functional, and neurobiological alterations that underlie MDD. We discuss abnormalities involving large-scale brain networks, neuroplasticity and stress-related pathways, neuroinflammation, oxidative stress, and neurotransmitter systems, together with their implications for biomarker discovery, patient stratification, and treatment response. Collectively, current evidence implicates both molecular dysregulation and large-scale neural network dysfunction in MDD, although direct evidence linking alterations across these biological levels remains limited. Integrating multimodal biological and neuroimaging approaches may improve diagnostic precision, facilitate personalized therapeutic strategies, and advance the development of biologically informed psychiatry.

Indexed as

functional connectivitygeneticsMDD (major depressive disorder)molecular mechanismneuroimaging

Identifiers

PMID42871390
PMCPMC13659288

What OpenQuestion holds

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Registered trials

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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.