Evidence map›Paper›PMID 40143852›Full record

ArticleFrontiers in neuroscience2025

Distinct brain activity patterns associated with traditional Chinese medicine syndromes: a task-fMRI study of mild cognitive impairment.

Zhaoying Li, Shanyu Liu, Yuling Shen, Huan Zhao, Zhenwei Chen, Rui Tan, Zhuoling Li, Ling Quan, Dongdong Yang, Min Shi

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhaoying Li *Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Shanyu Liu *Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yuling ShenDepartment of Neurology, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China.
Huan ZhaoDepartment of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhenwei ChenDepartment of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Rui TanDepartment of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhuoling LiDepartment of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ling QuanDepartment of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dongdong Yang *Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Min Shi *Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Abnormalities in brain activity patterns during episodic memory tasks have been inconsistently reported in amnestic mild cognitive impairment (aMCI) patients using functional magnetic resonance imaging (fMRI). This study applied traditional Chinese medicine (TCM) syndrome differentiation to categorize aMCI patients into distinct subgroups, aiming to clarify the neural mechanisms underlying their cognitive profiles. Methods: Participants included aMCI patients categorized into the turbid phlegm clouding the orifices (PCO) or spleen-kidney deficiency (SKD) syndrome subgroups, alongside cognitively normal controls (NC) matched for age and gender. Neuropsychological assessments were performed, and fMRI scans were acquired during an episodic memory task involving the recognition of new and old vocabulary. Brain activity across different stages of episodic memory was analyzed using SPM12 and DPABI 7.0 software. Results: A total of 57 aMCI patients (34 with SKD and 23 with PCO) and 54 healthy controls were involved in the final task-based fMRI analysis. Compared with the NC group, the PCO group exhibited increased brain activation during both encoding and retrieval phases, primarily involving the prefrontal cortex and occipital lobe. Compared with the SKD group, the PCO group demonstrated the elevated activation in the right central sulcus and right insula during the encoding phase. Correlation analysis indicated a specific association between PCO symptom scores and insula activation. No statistically significant differences were found between the SKD and NC groups. Conclusion: Distinct patterns of fMRI brain activity found in aMCI patients with PCO and SKD syndromes during episodic memory tasks suggest differing neural mechanisms that may contribute to the clinical heterogeneity of aMCI.

Indexed as

brain activityepisodic memorymild cognitive impairmenttask-based fMRItraditional Chinese medicine syndrome

Identifiers

PMID40143852
PMCPMC11937078

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