Evidence map›Paper›PMID 34529323›Full record

ArticleHuman brain mapping2021

Group-guided individual functional parcellation of the hippocampus and application to normal aging.

Jiang Zhang, Dundi Xu, Hongjie Cui, Tianyu Zhao, Congying Chu, Jiaojian Wang

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Jiang ZhangCollege of Electrical Engineering, Sichuan University, Chengdu, China.ORCID 0000-0002-0783-3705
Dundi XuCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Hongjie CuiCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Tianyu ZhaoCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Congying ChuNational Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Jiaojian WangState Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China.ORCID 0000-0002-0421-5709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is closely associated with cognitive decline affecting attention, memory and executive functions. The hippocampus is the core brain area for human memory, learning, and cognition processing. To delineate the individual functional patterns of hippocampus is pivotal to reveal the neural basis of aging. In this study, we developed a group-guided individual parcellation approach based on semisupervised affinity propagation clustering using the resting-state functional magnetic resonance imaging to identify individual functional subregions of hippocampus and to identify the functional patterns of each subregion during aging. A three-way group parcellation was yielded and was taken as prior information to guide individual parcellation of hippocampus into head, body, and tail in each subject. The superiority of individual parcellation of hippocampus is validated by higher intraregional functional similarities by compared to group-level parcellation results. The individual variations of hippocampus were associated with coactivation patterns of three typical functions of hippocampus. Moreover, the individual functional connectivities of hippocampus subregions with predefined target regions could better predict age than group-level functional connectivities. Our study provides a novel framework for individual brain functional parcellations, which may facilitate the future individual researches for brain cognitions and brain disorders and directing accurate neuromodulation.

Indexed as

AgingConnectomeHippocampusMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedYoung Adultaffinity propagationaginghippocampusindividual parcellationresting-state fMRI

Identifiers

PMID34529323
PMCPMC8596973

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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.