Evidence map›Paper›PMID 41163214›Full record

ArticleCNS neuroscience & therapeutics2025

Brain Network Signature of Autoscopic Phenomena in Humans.

Siyi Wang, Lei Qi, Xinqi Huang, Chunxue Wu, Jialin Du, Qing Xue, Jinghui Liu, Yuanhong Chen, Liankun Ren

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Brain Network Signature of Autoscopic Phenomena in Humans.CNS neuroscience & therapeutics · 2025
    Article
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

9 authors.

Siyi WangDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.ORCID 0000-0002-4794-7387
Lei QiDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.
Xinqi HuangDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.ORCID 0000-0003-2725-6674
Chunxue WuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jialin DuDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.
Qing XueDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.
Jinghui LiuDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.
Yuanhong ChenDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.
Liankun RenDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical University, Beijing, China.

Funding

Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support ZLRK202321Beijing Research Ward Excellence Program BRWEP2024W022010200National Key Research and Development Program of China 2022YFC2503805National Key Research and Development Program of China 2024YFA1306903National Natural Science Foundation of China 82371457
6 · The paper itself

Abstract

aimsAutoscopic phenomena (AP) are distinct manifestations of epileptic seizure semiology and are also identified in diverse psychiatric disorders. Our study aimed to map the brain AP network and characterize its multimodal signatures.

methodsBy performing lesion network mapping using the human connectome dataset (n = 1000), we investigated the brain AP network derived from 25 cases of AP caused by distributed focal brain lesions (n = 19) and direct electrical stimulation (DES) (n = 6). We further studied the multimodal signatures of the AP network, including exploring spatial correlation with human cortical developmental and evolutionary expansions, neurotransmitters, and electrophysiological rhythms.

resultsWe mapped a common AP network primarily involving the bilateral angular gyrus, posterior medial cortex, intraparietal sulcus, cuneus, fusiform and insula. Specifically, the bilateral thalamic pulvinar were identified as subcortical hubs. We further found a significant negative correlation between the AP network and developmental and evolutionary expansions. Particularly, the spatial density of norepinephrine transporter and the alpha frequency band power were significantly positively correlated with the AP network.

conclusionOur study identified a common brain AP network and uncovered its multimodal signatures. These findings may clarify the network mechanisms underpinning AP, providing novel insights into bodily self-consciousness.

Indexed as

BrainNerve NetAdultConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysYoung Adultautoscopic phenomenaepilepsyfunctional human connectomelesion network mappingseizure semiology

Identifiers

PMID41163214
PMCPMC12571770

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