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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

CNS Neuroscience & Therapeutics October 29, 2025 DOI: 10.1111/cns.70635 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Lesion network mapping study Peer reviewed
Sample size 25
Population 25 cases of autoscopic phenomena caused by focal brain lesions or direct electrical stimulation, analyzed against a human connectome dataset of 1,000 participants
Key points A common brain network for autoscopic phenomena is described, primarily involving the bilateral angular gyrus, posterior medial cortex, intraparietal sulcus, cuneus, fusiform gyrus, and insula, with the bilateral thalamic pulvinar as subcortical hubs. The authors report that this network correlates negatively with developmental and evolutionary cortical expansion and positively with norepinephrine transporter density and alpha-band power, which they propose may clarify network mechanisms underlying autoscopic phenomena and bodily self-consciousness.

Abstract

Aims: Autoscopic 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.

Methods: By 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.

Results: We 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.

Conclusion: Our 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.

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