Evidence map›Paper›PMID 42284006›Full record

ArticleBrain informatics2026

A feasibility study on inferring connectivity changes in frontal lobes of MDD patients via spectral DCM.

Xiaojia Wang, Shuohui Li, Mingxin Zhang, Chunfeng Yang

Abstract read
In one paragraph

Article in Brain informatics, 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.

Xiaojia WangWuxi Vocational College of Science and Technology, Wuxi, 214028, China.
Shuohui LiSchool of Computer Science and Engineering, Southeast University, Nanjing, 210096, China.
Mingxin ZhangWuxi Vocational College of Science and Technology, Wuxi, 214028, China.
Chunfeng YangSchool of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. chunfeng.yang@seu.edu.cn.

Funding

National Natural Science Foundation of China 31400842
6 · The paper itself

Abstract

Many studies have shown that major depressive disorder (MDD) is highly relevant to the dysfunction of frontal lobes. Given the crucial role of brain network organization for MDD, this work focuses on inferring effective connectivity patterns and their changes in the frontal lobes of non-depressive and MDD subjects. We collected frontopolar left (Fp1), frontopolar right (Fp2), and frontal midline (Fz) channels of resting electroencephalogram (EEG) from 22 subjects with non-depressive states (non-depressive group), 23 subjects with mild depression (mild MDD group) and 12 subjects with moderate depression (moderate MDD group). Complete Physiology-Based Model was introduced to simulate the EEG signals of brain activities in the three targeted lobes. Then, spectral dynamic causal modelling was performed to investigate effective connectivity and its changes between the three targeted channels. The findings suggest that MDD groups exhibit a significant decline in the average strength of excitatory connectivity between pyramidal cells of the three lobes, compared to the non-depressed group. Additionally, the fluctuation of connectivity across trials among frontal lobes decreases in the mild and moderate MDD groups. The MDD groups also showed frontal asymmetry, specifically in the form of significant differences in bidirectional excitatory connections between Fp1 and Fp2. These effective connectivity changes of frontal lobes may indicate its clinical potential in future research on depression.

Indexed as

Complete physiology-based modelDepressionDynamic causal modellingEEGEffective connectivity

Identifiers

PMID42284006
PMCPMC13280083

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.