Evidence map›Paper›PMID 41568940›Full record

ArticleExperimental physiology2026

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

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

Abstract read
In one paragraph

Article in Experimental physiology, 2026. 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

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

1 citing paper in PubMed.

  1. 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

8 authors.

Qing ZhangBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Hetian FengInstitute of Artificial Intelligence, Beihang University, Beijing, China.
Tian LiuBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Jiaqi ZhouBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Jingya ZhengSchool of Emergency Management & Safety Engineering, China University of Mining and Technology, Beijing, China.
Junzhao ZhangBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Li DingBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0003-2051-7886
Jiachen NieBeijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0001-6178-9445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cerebral CortexCold TemperatureThermosensingAdaptation, PhysiologicalAdultBrainElectroencephalographyFemaleHumansMaleYoung Adultcold stimulationcortical responseEEGthermal perception

Identifiers

PMID41568940
PMCPMC13140716

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Registered trials

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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.