Evidence map›Paper›PMID 38012628›Full record

ArticleAlzheimer's research & therapy2023

Exploring shared neural substrates underlying cognition and gait variability in adults without dementia.

Seonjeong Byun, Hyang Jun Lee, Jun Sung Kim, Euna Choi, Subin Lee, Tae Hui Kim, Jae Hyoung Kim, Ji Won Han, Ki Woong Kim

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. 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
2.7field-weighted citation impact, top 9% 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.

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, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

9 authors at 4 institutions in 1 country.

Seonjeong ByunDepartment of Neuropsychiatry, College of Medicine, Uijeongbu St Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Hyang Jun LeeDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea.
Jun Sung KimInstitute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
Euna ChoiDepartment of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
Subin LeeLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
Tae Hui KimDepartment of Psychiatry, Yonsei University Wonju Severance Christian Hospital, Wonju, Republic of Korea.
Jae Hyoung KimDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ji Won HanDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea.
Ki Woong KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea. kwkimmd@snu.ac.kr.
Seoul National University · KRSeoul National University Bundang Hospital · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KRWonju Severance Christian Hospital · KR

Funding

Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) and Korea Dementia Research Center (KDRC), funded by the Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea HU20C0015Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea HI09C1379 [A092077]
6 · The paper itself

Abstract

backgroundHigh gait variability is associated with neurodegeneration and cognitive impairments and is predictive of cognitive impairment and dementia. The objective of this study was to identify cortical or subcortical structures of the brain shared by gait variability measured using a body-worn tri-axial accelerometer (TAA) and cognitive function.

methodsThis study is a part of a larger population-based cohort study on cognitive aging and dementia. The study included 207 participants without dementia, with a mean age of 72.6, and 45.4% of them are females. We conducted standardized diagnostic interview including a detailed medical history, physical and neurological examinations, and laboratory tests for cognitive impairment. We obtained gait variability during walking using a body-worn TAA along and measured cortical thickness and subcortical volume from brain magnetic resonance (MR) images. We cross-sectionally investigated the cortical and subcortical neural structures associated with gait variability and the shared neural substrates of gait variability and cognitive function.

resultsHigher gait variability was associated with the lower cognitive function and thinner cortical gray matter but not smaller subcortical structures. Among the clusters exhibiting correlations with gait variability, one that included the inferior temporal, entorhinal, parahippocampal, fusiform, and lingual regions in the left hemisphere was also associated with global cognitive and verbal memory function. Mediation analysis results revealed that the cluster's cortical thickness played a mediating role in the association between gait variability and cognitive function.

conclusionGait variability and cognitive function may share neural substrates, specifically in regions related to memory and visuospatial navigation.

Indexed as

Cognitive DysfunctionDementiaAdultCognitionCohort StudiesFemaleGaitHumansMagnetic Resonance ImagingMaleNeuropsychological TestsCognitive impairmentDigital biomarkerGaitShared neural networkTri-axial accelerometer

Identifiers

PMID38012628
PMCPMC10680297
OpenAlexW4389050189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.