Cited by 11Neurological disorders and treatmentsTranscranial Magnetic Stimulation StudiesObsessive-Compulsive Spectrum Disorders

Prefrontal–bed nucleus of the stria terminalis physiological and neuropsychological biomarkers predict therapeutic outcomes in depression

Open access
Wang, Linbin, Zhang, Yingying, Wang, Yuhan, Ding, Qiong, Dai, Luling, Hu, Kejia, Ye, Kuanghao, lv, Xin +14 more·2025·Nature Communications

Published version of a preprint

Abstract

Therapeutic options for refractory depression are urgently needed. We conducted a deep brain stimulation (DBS) randomized controlled trial of the bed nucleus of the stria terminalis (BNST), an extended amygdala structure, and nucleus accumbens (NAc) in 26 refractory depression patients to assess treatment efficacy and predictors of response. BNST-NAc DBS had a 50% depression response rate and 35% remission rate in the open-label phase. We identified an objective intracranial physiological biomarker using acute and chronic intracranial recordings, machine learning, and an integrated framework combining electrophysiology, neuroimaging, and behavior: lower BNST theta and prefrontal-BNST coherence with top-down connectivity predicted better depression outcomes and quality-of-life after chronic stimulation at 3, 6 and 12 months, confirmed across eyes -open and -closed states and machine learning. We identified a physiology-guided connectivity network involving dorsal anterior cingulate and lateral inferior frontal cortex tracts. These biomarkers, linked to negative emotional bias and anxiety, highlight the efficacy of BNST-NAc DBS for refractory depression and has potential broader clinical implications. ClinicalTrials.gov registration: NCT04530942.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-025-65179-z

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 86 · Cited by 11

Authors
Wang, L., Zhang, Y., Wang, Y., Ding, Q., Dai, L., Hu, K., Ye, K., lv, X., Zhang, X., Mandali, A., Manssuer, L., Sonkusare, S., Zhao, Y., Huang, P., Qiu, X., Pan, Y., Lai, Y., Li, D., Liu, W., Zhan, S., Sun, B., & Voon, V.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Fudan University (CN)
  • University of Cambridge (GB)
Corresponding author
  • Sun, Bomin
  • Voon, Valerie
Venue
Nature Communications
Published
2025-11-18
Volume
16
Issue
1
Pages
10034-10034
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4416337530
Cited by
11
References
86
Citations by year
2026: 9 · 2025: 2
FWCI
6.70
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Apollo (cc-by)
Funders
  • National Natural Science Foundation of China (T2250710686)
  • RCUK | Medical Research Council (MR/W020408/1)
  • STI 2030-Major Projects
Topics
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
  • Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
Keywords
treatment-resistant depression, deep brain stimulation, bed nucleus of the stria terminalis, nucleus accumbens, theta oscillations, treatment response prediction, top-down connectivity, dorsal anterior cingulate cortex, inferior frontal cortex, anxiety, quality of life, extended amygdala
MeSH terms
Machine Learning, Adult, Depression, Female, Humans, Male, Middle Aged, Nucleus Accumbens, Quality of Life, Septal Nuclei, Biomarkers, Treatment Outcome, Prefrontal Cortex, Deep Brain Stimulation

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