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Temporal dynamics of frontoparietal processing during personal space intrusion.

Overview

Authors: Sijia Xiang1,2, Xinbo Zou1,2, Chuqing Luo1,3, Ning Liu1,2
ORCID iDs: Ning Liu
  1. State Key Laboratory of Cognitive Science and Mental Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
  2. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  3. School of Life Sciences, University of Science and Technology of China, Hefei, China
Institutions: Chinese Academy of Sciences (China); Institute of Biophysics (China); University of Chinese Academy of Sciences (China); University of Science and Technology of China (China)
Journal: iScience, volume 29, issue 8, article 116829
Dates: received 14 October 2025; accepted 1 July 2026; published online 16 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.isci.2026.116829 · PMID 42519035 · PMCID PMC13383958 · OpenAlex W7169212505
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: EEG (modality), human (organism)
Methods: Spectral & time-frequency, Preprocessing, Connectivity, Statistics, Machine learning, Smoothing, state filtering, decompositions, Evoked potentials, fMRI & imaging, Physiology & signal measures
Keywords: personal space, EEG, alpha rhythms, low-gamma rhythms, granger causality
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: STI2030-Major Projects (2021ZD0204200, 2021ZD0200200); National Natural Science Foundation of China (National Science Foundation of China) (32071094)
Citations: not cited yet (Europe PMC); 69 references in the paper

Abstract

Understanding the neural basis of personal space (PS) is crucial for elucidating the mechanisms of social behavior. We investigated EEG responses in healthy adults viewing approaching faces designed to simulate intrusions into PS. Approaching faces elicited stronger right N170 modulation than static faces, with weaker effects for non-face objects. Time-frequency analyses revealed early alpha-power decreases over the frontal region of interest (ROI), followed by later alpha-power decreases and gamma-power increases over the parietal ROI, selectively for approaching faces. Motion information was decoded earlier in the parietal ROI than in the frontal ROI, with the frontal ROI showing face-specific sensitivity. We further demonstrated sustained parietal-to-frontal low-gamma feedforward signaling during face approach, with late frontal-to-parietal alpha-band feedback. Crucially, feedforward signaling predicted individual PS size. Together, these findings suggest that coordinated frontoparietal interactions may facilitate rapid detection and continuous monitoring of PS intrusions, providing a mechanistic framework for adaptive social defense.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data and code availability

• Behavioral and EEG data reported in this paper are available from the lead contact upon reasonable request. • Original analysis code used in this study is available from the lead contact upon reasonable request. • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 5 keywords, 2 funders, 68 references.

Cite

This paper

Xiang, S., Zou, X., Luo, C., & Liu, N. (2026). Temporal dynamics of frontoparietal processing during personal space intrusion. iScience, 29(8), 116829. https://doi.org/10.1016/j.isci.2026.116829

BibTeX

@article{xiang2026temporal,
author = {Xiang, Sijia and Zou, Xinbo and Luo, Chuqing and Liu, Ning},
title = {{Temporal dynamics of frontoparietal processing during personal space intrusion}},
journal = {iScience},
year = {2026},
month = jul,
volume = {29},
number = {8},
pages = {116829},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.116829},
url = {https://doi.org/10.1016/j.isci.2026.116829},
pmid = {42519035},
pmcid = {PMC13383958}
}

RIS

TY - JOUR
AU - Xiang, Sijia
AU - Zou, Xinbo
AU - Luo, Chuqing
AU - Liu, Ning
TI - Temporal dynamics of frontoparietal processing during personal space intrusion
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/07/16
VL - 29
IS - 8
SP - 116829
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116829
UR - https://doi.org/10.1016/j.isci.2026.116829
LA - en
ER -

CSL-JSON

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