Cortical dynamics of cold exposure and thermal recovery: Evidence from EEG‐based spatiotemporal analysis

Human thermal perception involves complex and dynamic interactions between peripheral input and central neural regulation. However, the spatial and temporal characteristics of brain responses to different cold exposure scenarios remain poorly understood. In this study, we combined traditional analysis with AI-based anomaly detection to examine electroencephalographic (EEG) responses across five stages of cold exposure in 20 healthy participants, including baseline, cold exposure, wind stimulation, adaptation and recovery. Alpha-band power analysis revealed 14 EEG channels with significant stage-dependent differences, primarily located in the right hemisphere across frontal, central and parietal regions. Shapley additive explanations (SHAP)-based feature importance scores further validated stage-specific channels, identifying F8, T8 and CP6 for cold exposure, T7 for wind stimulation, T8 for adaptation, and F8 and CP6 for recovery. Time-frequency analysis revealed early spectral responses within 1 s for cold exposure and recovery, and within 2 s for wind stimulation, while AI anomaly detection estimated later latencies of 2.201∼2.735 s, highlighting the distinct sensitivities of each method. These results reveal right-lateralized, stage-specific brain activations, and demonstrate the complementary value of traditional and AI methods in decoding thermal responses.

Authors

Institutions

Publication Details

Journal
Experimental Physiology
Published
2026-01-22
DOI
https://doi.org/10.1113/ep093356
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cortical dynamics of cold exposure and thermal recovery: Evidence from EEG‐based spatiotemporal analysis

Jiachen Nie, Hetian Feng, Jingya Zheng, Junzhao Zhang et al.
Experimental Physiology
Climate Change and Health Impacts
article

Cortical dynamics of cold exposure and thermal recovery: Evidence from EEG‐based spatiotemporal analysis

Jiachen Nie, Hetian Feng, Jingya Zheng, Junzhao Zhang, Li Ding, Tian Liu, Qing Zhang, Jiaqi Zhou
article en

Abstract

Human thermal perception involves complex and dynamic interactions between peripheral input and central neural regulation. However, the spatial and temporal characteristics of brain responses to different cold exposure scenarios remain poorly understood. In this study, we combined traditional analysis with AI-based anomaly detection to examine electroencephalographic (EEG) responses across five stages of cold exposure in 20 healthy participants, including baseline, cold exposure, wind stimulation, adaptation and recovery. Alpha-band power analysis revealed 14 EEG channels with significant stage-dependent differences, primarily located in the right hemisphere across frontal, central and parietal regions. Shapley additive explanations (SHAP)-based feature importance scores further validated stage-specific channels, identifying F8, T8 and CP6 for cold exposure, T7 for wind stimulation, T8 for adaptation, and F8 and CP6 for recovery. Time-frequency analysis revealed early spectral responses within 1 s for cold exposure and recovery, and within 2 s for wind stimulation, while AI anomaly detection estimated later latencies of 2.201∼2.735 s, highlighting the distinct sensitivities of each method. These results reveal right-lateralized, stage-specific brain activations, and demonstrate the complementary value of traditional and AI methods in decoding thermal responses.

Experimental Physiology
China University of Mining and Technology (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Climate Change and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.