Evidence map›Paper›PMID 37934311›Full record

ArticleEuropean child & adolescent psychiatry2024

Functional network characteristics in adolescent psychotic mood disorder: associations with symptom severity and treatment effects.

Jingshuai Zhou, Jia Duan, Xiaoxue Liu, Yang Wang, Junjie Zheng, Lili Tang, Pengfei Zhao, Xizhe Zhang, Rongxin Zhu, Fei Wang

Abstract read
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In one paragraph

Article in European child & adolescent psychiatry, 2024. 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
0.5field-weighted citation impact, top 35% of its field
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, 3 citations in OpenAlex.

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

10 authors at 2 institutions in 1 country.

Jingshuai Zhou *Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Jia Duan *Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xiaoxue Liu *Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Yang WangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Junjie ZhengEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Lili TangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Pengfei ZhaoEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Xizhe ZhangSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China.
Rongxin ZhuEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China. zhurx2000@njmu.edu.cn.
Fei WangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China. fei.wang@yale.edu.
Nanjing Brain Hospital · CNNanjing Medical University · CN

Funding

Jiangsu Provincial Department of Human Resources and Social Security 2022ZB425Jiangsu Provincial Key Research and Development Program BE2021617Jiangsu Provincial Key Research and Development Program BE2022160Key Project supported by Medical Science and Technology Development Foundation, Jiangsu Commission of Health ZD2021026National Key Research and Development Program 2022YFC2405603National Natural Science Foundation of China 62176129National Natural Science Foundation of China 82151315National Science Fund for Distinguished Young Scholars 81725005NSFC-Guangdong Joint Fund U20A6005
6 · The paper itself

Abstract

Adolescent psychotic mood disorder (MDP) is a specific phenotype that characterized by more severe symptoms and prognosis compared to nonpsychotic mood disorder (MDNP). But the underlying neural mechanisms remain unknown, and graph theory analysis can help to understand possible mechanisms of psychotic symptoms from the perspective of functional networks. A total of 177 adolescent patients with mood disorders were recruited, including 61 MDP and 116 MDNP. Functional networks were constructed, and topological properties were compared between the two groups at baseline and after treatment, and the association between properties changes and symptom improvement was explored. Compared to the MDNP group, the MDP group exhibited higher small-world properties (FDR q = 0.003) and normalized clustering coefficients (FDR q = 0.008) but demonstrated decreased nodal properties in the superior temporal gyrus (STG), Heschl's gyrus, and medial cingulate gyrus (all FDR q < 0.05). These properties were found to be correlated with the severity of psychotic symptoms. Topological properties also changed with improvement of psychotic symptoms after treatment, and changes in degree centrality of STG in the MDP was significantly positive correlated with improvement of psychotic symptoms (r = 0.377, P = 0.031). This study indicated that functional networks are more severely impaired in patients with psychotic symptoms. Topological properties, particularly those associated with the STG, hold promise as emerging metrics for assessing symptoms and treatment efficacy in patients with psychotic symptoms.

Indexed as

Mood DisordersAdolescentAffective Disorders, PsychoticFemaleHumansMagnetic Resonance ImagingMalePsychotic DisordersSeverity of Illness IndexAdolescentFunctional networkGraph theoryMood disorderPsychotic symptoms

Identifiers

PMID37934311
OpenAlexW4388462048

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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.