Evidence map›Paper›PMID 41454385›Full record

ArticleBehavioral and brain functions : BBF2025

Correlation of prefrontal-based resting state functional connectivity with the degree of cognitive impairment in Alzheimer's disease: a functional near-infrared spectroscopy study.

Ming Chen, Wenbo Zhang, Mengyu Yan, Fuxin Zhong, Jiaqi Song, Yiming Guo, Yingxi Chen, Qi Tian, Weihua Yu, Yang Lü

Abstract read
In one paragraph

Article in Behavioral and brain functions : BBF, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

10 authors.

Ming Chen *Department of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Wenbo Zhang *Department of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Mengyu YanInstitutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China.
Fuxin ZhongDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jiaqi SongInstitutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China.
Yiming GuoInstitutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China.
Yingxi ChenInstitutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China.
Qi TianDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Weihua YuInstitutes of Neuroscience, Chongqing Medical University, Chongqing, 400016, China. yuweihua@cqmu.edu.cn.
Yang LüDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. yanglyu@hospital.cqmu.edu.cn.

Funding

Chongqing Medical Key Discipline and Regional Medical Key Discipline Development Project 0201[2023] No.160 202412Chongqing Medical Key Discipline and Regional Medical Key Discipline DevelopmentProject 0201[2022]No. 144 202325 0201[2022]144 202325zdxk202105Chongqing Talent Plan cstc2022ycjh-bgzxm0184Key Project of Technological Innovation and Application Development of Chongqing Science & Technology Bureau CSTC2021jscx-gksb-N0020Program for Youth Innovation in Future Medicine, Chongqing Medical University W0166Science Innovation Programs Led by the Academicians in Chongqing 2022YSZX-JSX0002CSTBThe First Affiliated Hospital of Chongqing Medical University 2022 Chongqing Research Innovation Program for Graduate Student (CYB22199) CYYY-BSYJSCXXM-202334
6 · The paper itself

Abstract

backgroundThis study aims to investigate the differences in neural network connectivity within the prefrontal cortex (PFC) among elderly individuals with normal cognition (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD) using functional near-infrared spectroscopy (fNIRS).

resultsSignificant differences in functional connectivity (FC) strength were observed between the NC, MCI, and AD groups in several Brodmann areas (BA) pairs, including BA46.L-BA45.R and BA9.L-BA1.L. The most pronounced FC strength differences between the NC and MCI groups occurred at the 2nd -minute mark in BA45.R, while differences between the MCI and AD groups peaked at the 5th-minute mark in BA1.L. Additionally, the NC and MCI groups displayed FC strength differences during the first 2 minutes and first 3 minutes, again with BA45.R being central. FC strength between BA46.L-BA45.R was negatively correlated with Neuropsychiatric Inventory and Clinical Dementia Rating scores.

conclusionsFC strength in the left dorsolateral PFC, where BA46.L and BA9.L are located, emerged as a key region for cortical dysfunction in cognitive impairment. Moreover, there were differences in FC across levels of cognitive impairment, and significant correlations between differences in FC strength in BA brain regions and cognitive level.

Indexed as

Alzheimer DiseaseCognitive DysfunctionPrefrontal CortexAgedAged, 80 and overBrain MappingCognitionFemaleHumansMaleNeural PathwaysNeuropsychological TestsRestSpectroscopy, Near-InfraredAlzheimer’s diseasefNIRSFunctional connectivityPrefrontal cortexResting state

Identifiers

PMID41454385
PMCPMC12849751

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.