HDGNN-Mamba2: Mamba-Based Spatiotemporal Heterogeneous Dynamic Graph Neural Network for Major Depressive Disorder Classification.

Jian Yan, Renzhou Gui, Hao Liang, Yaqi Wang

Abstract read

In one paragraph

Article in Brain sciences, 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

4 authors.

Jian YanCollege of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.

Renzhou GuiCollege of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.

Hao LiangCollege of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.

Yaqi WangCollege of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.ORCID 0000-0003-3789-6368

Funding

National Natural Science Foundation of China (41827807 and 61271351Science and Technology Innovation Plan of Shanghai Science and Technology Commission 22DZ1209500

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningfunctional magnetic resonance imaginggraph neural networkmajor depressive disorderstructured state space duality

Identifiers

PMID42651180

DOI10.3390/brainsci16080872

PMCPMC13510404

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.