Relationship between finger movement characteristics and brain voxel-based morphometry.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 18 05 2022
accepted: 15 09 2022
entrez: 7 10 2022
pubmed: 8 10 2022
medline: 12 10 2022
Statut: epublish

Résumé

Aging is the most significant risk factor for dementia. Alzheimer's disease (AD) accounts for approximately 60-80% of all dementia cases in older adults. This study aimed to examine the relationship between finger movements and brain volume in AD patients using a voxel-based reginal analysis system for Alzheimer's disease (VSRAD) software. Patients diagnosed with AD at the Center for Comprehensive Care and Research on Memory Disorders were included. The diagnostic criteria were based on the National Institute on Aging-Alzheimer's Association. A finger-tapping device was used for all measurements. Participants performed the tasks in the following order: with their non-dominant hand, dominant hand, both hands simultaneously, and alternate hands. Movements were measured for 15 s each. The relationship between distance and output was measured. Magnetic resonance imaging measurements were performed, and VSRAD was conducted using sagittal section 3D T1-weighted images. The Z-score was used to calculate the severity of medial temporal lobe atrophy. Pearson's product-moment correlation coefficient analyzed the relationship between the severity of medial temporal lobe atrophy and mean values of the parameters in the finger-tapping movements. The statistical significance level was set at <5%. The calculated p-values were corrected using the Bonferroni method. Sixty-two patients were included in the study. Comparison between VSRAD and MoCA-J scores corrected for p-values showed a significant negative correlation with the extent of gray matter atrophy (r = -0. 52; p< 0.001). A positive correlation was observed between the severity of medial temporal lobe atrophy and standard deviation (SD) of the distance rate of velocity peak in extending movements in the non-dominant hand (r = 0. 51; p< 0.001). The SD of distance rate of velocity peak in extending movements extracted from finger taps may be a useful parameter for the early detection of AD and diagnosis of its severity.

Sections du résumé

BACKGROUND
Aging is the most significant risk factor for dementia. Alzheimer's disease (AD) accounts for approximately 60-80% of all dementia cases in older adults. This study aimed to examine the relationship between finger movements and brain volume in AD patients using a voxel-based reginal analysis system for Alzheimer's disease (VSRAD) software.
METHODS
Patients diagnosed with AD at the Center for Comprehensive Care and Research on Memory Disorders were included. The diagnostic criteria were based on the National Institute on Aging-Alzheimer's Association. A finger-tapping device was used for all measurements. Participants performed the tasks in the following order: with their non-dominant hand, dominant hand, both hands simultaneously, and alternate hands. Movements were measured for 15 s each. The relationship between distance and output was measured. Magnetic resonance imaging measurements were performed, and VSRAD was conducted using sagittal section 3D T1-weighted images. The Z-score was used to calculate the severity of medial temporal lobe atrophy. Pearson's product-moment correlation coefficient analyzed the relationship between the severity of medial temporal lobe atrophy and mean values of the parameters in the finger-tapping movements. The statistical significance level was set at <5%. The calculated p-values were corrected using the Bonferroni method.
RESULTS
Sixty-two patients were included in the study. Comparison between VSRAD and MoCA-J scores corrected for p-values showed a significant negative correlation with the extent of gray matter atrophy (r = -0. 52; p< 0.001). A positive correlation was observed between the severity of medial temporal lobe atrophy and standard deviation (SD) of the distance rate of velocity peak in extending movements in the non-dominant hand (r = 0. 51; p< 0.001).
CONCLUSIONS
The SD of distance rate of velocity peak in extending movements extracted from finger taps may be a useful parameter for the early detection of AD and diagnosis of its severity.

Identifiants

pubmed: 36206254
doi: 10.1371/journal.pone.0269351
pii: PONE-D-22-14477
pmc: PMC9543950
doi:

Banques de données

figshare
['10.6084/m9.figshare.20343903']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0269351

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Junpei Sugioka (J)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Shota Suzumura (S)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Katsumi Kuno (K)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Shiori Kizuka (S)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

Hiroaki Sakurai (H)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Yoshikiyo Kanada (Y)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

Tomohiko Mizuguchi (T)

IoT Innovation Department, New Business Producing Division, Maxell, Ltd. Yokohama, Kanagawa, Japan.

Izumi Kondo (I)

Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

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