Cargando…
Detecting apathy in patients with cerebral small vessel disease
BACKGROUND: Apathy is attracting more and more attention in clinical practice. As one of the most common features of cerebral small vessel disease (CSVD), the assessment of apathy still mainly relies on observers. With the development of Information and Communication Technologies (ICTs), new objecti...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381828/ https://www.ncbi.nlm.nih.gov/pubmed/35992598 http://dx.doi.org/10.3389/fnagi.2022.933958 |
_version_ | 1784769160617656320 |
---|---|
author | Cai, Xiaoping Zhào, Hóngyi Li, Zhiyi Ding, Yu Huang, Yonghua |
author_facet | Cai, Xiaoping Zhào, Hóngyi Li, Zhiyi Ding, Yu Huang, Yonghua |
author_sort | Cai, Xiaoping |
collection | PubMed |
description | BACKGROUND: Apathy is attracting more and more attention in clinical practice. As one of the most common features of cerebral small vessel disease (CSVD), the assessment of apathy still mainly relies on observers. With the development of Information and Communication Technologies (ICTs), new objective tools take part in the early detection of apathy. OBJECTIVES: To detect apathy in patients with CSVD and find out the relationship between apathy and actigraphic data sampled from the diurnal and nocturnal periods. METHODS: A total of 56 patients with CSVD were recruited for a cross-sectional observational study. Apathy was diagnosed by the diagnostic criteria for apathy in neurocognitive disorders. The presence of lacunes, white matter hyperintensities, cerebral microbleeds (CMBs), and perivascular spaces (PVS) in magnetic resonance imaging (MRI) images were rated independently. Actigraph devices were worn in the non-dominant hands of each subject for 7 consecutive days to collect samples of raw data, and diurnal vector magnitude (VM) and a series of sleep quality variables were obtained. RESULTS: We found that the frequency of apathy in Chinese patients with CSVD reached 37.50%. Patients in the Apathy+ group showed more lacunes and CMBs, and higher Fazekas scores in comparison to apathy-group individuals. Diurnal VM, instead of other sleep quality variables, was lower in CSVD patients with apathy relative to those without apathy. Lastly, we discovered that diurnal VM and total time in bed (TTB) correlated negatively with apathy severity in patients with CSVD. CONCLUSION: Actigraphy is a promising choice to evaluate apathy in patients with CSVD. |
format | Online Article Text |
id | pubmed-9381828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93818282022-08-18 Detecting apathy in patients with cerebral small vessel disease Cai, Xiaoping Zhào, Hóngyi Li, Zhiyi Ding, Yu Huang, Yonghua Front Aging Neurosci Neuroscience BACKGROUND: Apathy is attracting more and more attention in clinical practice. As one of the most common features of cerebral small vessel disease (CSVD), the assessment of apathy still mainly relies on observers. With the development of Information and Communication Technologies (ICTs), new objective tools take part in the early detection of apathy. OBJECTIVES: To detect apathy in patients with CSVD and find out the relationship between apathy and actigraphic data sampled from the diurnal and nocturnal periods. METHODS: A total of 56 patients with CSVD were recruited for a cross-sectional observational study. Apathy was diagnosed by the diagnostic criteria for apathy in neurocognitive disorders. The presence of lacunes, white matter hyperintensities, cerebral microbleeds (CMBs), and perivascular spaces (PVS) in magnetic resonance imaging (MRI) images were rated independently. Actigraph devices were worn in the non-dominant hands of each subject for 7 consecutive days to collect samples of raw data, and diurnal vector magnitude (VM) and a series of sleep quality variables were obtained. RESULTS: We found that the frequency of apathy in Chinese patients with CSVD reached 37.50%. Patients in the Apathy+ group showed more lacunes and CMBs, and higher Fazekas scores in comparison to apathy-group individuals. Diurnal VM, instead of other sleep quality variables, was lower in CSVD patients with apathy relative to those without apathy. Lastly, we discovered that diurnal VM and total time in bed (TTB) correlated negatively with apathy severity in patients with CSVD. CONCLUSION: Actigraphy is a promising choice to evaluate apathy in patients with CSVD. Frontiers Media S.A. 2022-08-03 /pmc/articles/PMC9381828/ /pubmed/35992598 http://dx.doi.org/10.3389/fnagi.2022.933958 Text en Copyright © 2022 Cai, Zhào, Li, Ding and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Cai, Xiaoping Zhào, Hóngyi Li, Zhiyi Ding, Yu Huang, Yonghua Detecting apathy in patients with cerebral small vessel disease |
title | Detecting apathy in patients with cerebral small vessel disease |
title_full | Detecting apathy in patients with cerebral small vessel disease |
title_fullStr | Detecting apathy in patients with cerebral small vessel disease |
title_full_unstemmed | Detecting apathy in patients with cerebral small vessel disease |
title_short | Detecting apathy in patients with cerebral small vessel disease |
title_sort | detecting apathy in patients with cerebral small vessel disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381828/ https://www.ncbi.nlm.nih.gov/pubmed/35992598 http://dx.doi.org/10.3389/fnagi.2022.933958 |
work_keys_str_mv | AT caixiaoping detectingapathyinpatientswithcerebralsmallvesseldisease AT zhaohongyi detectingapathyinpatientswithcerebralsmallvesseldisease AT lizhiyi detectingapathyinpatientswithcerebralsmallvesseldisease AT dingyu detectingapathyinpatientswithcerebralsmallvesseldisease AT huangyonghua detectingapathyinpatientswithcerebralsmallvesseldisease |