Distinguishing Early Depression from Negative Emotion via Multi-Domain EEG Feature Fusion and Multi-Head Additive Attention Network.

Ruoyu Du, Benbao Wang, Haipeng Gao, Tingting Xu, Shanjing Ju, Xin Xu, Jiangnan Xu

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 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

7 authors.

Ruoyu DuSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.

Benbao WangSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.ORCID 0009-0000-3646-5377

Haipeng GaoSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.

Tingting XuSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.

Shanjing JuSchool of Internet of Things, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.

Xin XuSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.ORCID 0000-0003-4432-3509

Jiangnan XuSchool of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, No. 66, XinMofan Road, Gulou District, Nanjing 210003, China.ORCID 0009-0006-3088-243X

Funding

Key Teaching Reform Project of Nanjing University of Posts and Telecommunications JG01921JX20National Natural Science Foundation of China 61603198Natural Science Foundation of Jiangsu Province BK20160918

6 · The paper itself

Abstract

The early diagnosis of depression is often impeded by the subjectivity inherent in traditional clinical assessments. To advance objective screening, this study proposes a lightweight neural network framework designed to discriminate between pathological depressive states and non-pathological transient negative emotions using EEG signals. Diverging from conventional methods that rely on single-domain features, we construct a comprehensive multi-domain feature space via Wavelet Packet Decomposition. Specifically, the framework integrates frequency (

Indexed as

attention mechanismdepression recognitionEEGfeature fusionnegative emotion

Identifiers

PMID41751720

DOI10.3390/e28020218

PMCPMC12939544

What OpenQuestion holds

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LicenceCC BY

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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.