Evidence map›Paper›PMID 28111548›Full record

ArticleFrontiers in aging neuroscience2016

The Functional Integration in the Sensory-Motor System Predicts Aging in Healthy Older Adults.

Hui He, Cheng Luo, Xin Chang, Yan Shan, Weifang Cao, Jinnan Gong, Benjamin Klugah-Brown, Maria A Bobes, Bharat Biswal, Dezhong Yao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06891014 (Effects of Regular Exercise on Sensory-motor Functions and Fall Risk in the Elderly), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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.

NCT06891014 nacompletednot on this mapstarted 2024, after this paper: background citation

Effects of Regular Exercise on Sensory-motor Functions and Fall Risk in the Elderly

TypeinterventionalSponsorCyprus International UniversityRan2024 to 2024Enrolled92ConditionsFall Risk, Exercise, Functional Outcomes, AgingArmsCombine Exercise
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Better Together: Technology-Use Gaps and Loneliness in Older Adults.Behavioral sciences (Basel, Switzerland) · 2026
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  19. Loss of functional connectivity is an early imaging marker in primary lateral sclerosis.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2018
    Article
  20. 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

10 authors at 3 institutions in 3 countries.

Hui HeThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Cheng LuoThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Xin ChangThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Yan ShanThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Weifang CaoThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Jinnan GongThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Benjamin Klugah-BrownThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Maria A BobesDepartment of Biological Psychiatry, Cuban Neuroscience Center La Habana, Cuba.
Bharat BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark NJ, USA.
Dezhong YaoThe Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
University of Electronic Science and Technology of China · CNCuban Neuroscience Center · CUNew Jersey Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy aging is typically accompanied by a decrease in the motor capacity. Although the disrupted neural representations and performance of movement have been observed in older age in previous studies, the relationship between the functional integration of sensory-motor (SM) system and aging could be further investigated. In this study, we examine the impact of healthy aging on the resting-state functional connectivity (rsFC) of the SM system, and investigate as to how aging is affecting the rsFC in SM network. The SM network was identified and evaluated in 52 healthy older adults and 51 younger adults using two common data analytic approaches: independent component analysis and seed-based functional connectivity (seed at bilateral M1 and S1). We then evaluated whether the altered rsFC of the SM network could delineate trajectories of the age of older adults using a machine learning methodology. Compared with the younger adults, the older demonstrated reduced functional integration with increasing age in the mid-posterior insula of SM network and increased rsFC among the sensorimotor cortex. Moreover, the reduction in the rsFC of mid-posterior insula is associated with the age of older adults. Critically, the analysis based on two-aspect connectivity-based prediction frameworks revealed that the age of older adults could be reliably predicted by this reduced rsFC. These findings further indicated that healthy aging has a marked influence on the SM system that would be associated with a reorganization of SM system with aging. Our findings provide further insight into changes in sensorimotor function in the aging brain.

Indexed as

agingfunctional connectivitymachine learningresting state fMRIsensory-motor system

Identifiers

PMID28111548
PMCPMC5216620
OpenAlexW2559747174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.