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Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease
AIMS: Cerebral small vessel disease (CSVD) is characterized by functional and structural changes in small vessels. We aimed to elucidate the relationship between dynamic cerebral autoregulation (dCA) and neuroimaging characteristics of CSVD. METHODS: A case‐control study was performed. Cerebral bloo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739047/ https://www.ncbi.nlm.nih.gov/pubmed/34894087 http://dx.doi.org/10.1111/cns.13778 |
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author | Liu, Zhaojun Ma, Hongyin Guo, Zhen‐Ni Wang, Le Qu, Yang Fan, Lei Liu, Xingliang Liu, Jie Zhu, Yuanyuan Yang, Yi |
author_facet | Liu, Zhaojun Ma, Hongyin Guo, Zhen‐Ni Wang, Le Qu, Yang Fan, Lei Liu, Xingliang Liu, Jie Zhu, Yuanyuan Yang, Yi |
author_sort | Liu, Zhaojun |
collection | PubMed |
description | AIMS: Cerebral small vessel disease (CSVD) is characterized by functional and structural changes in small vessels. We aimed to elucidate the relationship between dynamic cerebral autoregulation (dCA) and neuroimaging characteristics of CSVD. METHODS: A case‐control study was performed. Cerebral blood flow velocity (CBFV) of bilateral middle cerebral arteries and spontaneous arterial blood pressure were simultaneously recorded. Transfer function analysis was used to calculate dCA parameters (phase, gain, and the rate of recovery of CBFV [RoRc]). Neuroimaging characteristics of CSVD patients were evaluated, including lacunes, white matter hyperintensities (WMH), cerebral microbleeds (CMBs), perivascular spaces (PVS), and the total CSVD burden. RESULTS: Overall, 113 patients and 83 controls were enrolled. Compared with the control group, the phase at low frequency and the RoRc in CSVD patients were lower, and the gain at very low and low frequencies were higher, indicating bilaterally impaired dCA. Total CSVD burden, WMH (total, periventricular and deep), severe PVS, and lobar CMBs were independently correlated with the phase at low frequency. CONCLUSIONS: Our findings suggested that dCA was compromised in CSVD patients, and some specific neuroimaging characteristics (the total CSVD burden, WMH, severe PVS and lobar CMBs) might indicate more severe dCA impairment in CSVD patients. |
format | Online Article Text |
id | pubmed-8739047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87390472022-01-12 Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease Liu, Zhaojun Ma, Hongyin Guo, Zhen‐Ni Wang, Le Qu, Yang Fan, Lei Liu, Xingliang Liu, Jie Zhu, Yuanyuan Yang, Yi CNS Neurosci Ther Original Articles AIMS: Cerebral small vessel disease (CSVD) is characterized by functional and structural changes in small vessels. We aimed to elucidate the relationship between dynamic cerebral autoregulation (dCA) and neuroimaging characteristics of CSVD. METHODS: A case‐control study was performed. Cerebral blood flow velocity (CBFV) of bilateral middle cerebral arteries and spontaneous arterial blood pressure were simultaneously recorded. Transfer function analysis was used to calculate dCA parameters (phase, gain, and the rate of recovery of CBFV [RoRc]). Neuroimaging characteristics of CSVD patients were evaluated, including lacunes, white matter hyperintensities (WMH), cerebral microbleeds (CMBs), perivascular spaces (PVS), and the total CSVD burden. RESULTS: Overall, 113 patients and 83 controls were enrolled. Compared with the control group, the phase at low frequency and the RoRc in CSVD patients were lower, and the gain at very low and low frequencies were higher, indicating bilaterally impaired dCA. Total CSVD burden, WMH (total, periventricular and deep), severe PVS, and lobar CMBs were independently correlated with the phase at low frequency. CONCLUSIONS: Our findings suggested that dCA was compromised in CSVD patients, and some specific neuroimaging characteristics (the total CSVD burden, WMH, severe PVS and lobar CMBs) might indicate more severe dCA impairment in CSVD patients. John Wiley and Sons Inc. 2021-12-11 /pmc/articles/PMC8739047/ /pubmed/34894087 http://dx.doi.org/10.1111/cns.13778 Text en © 2021 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Liu, Zhaojun Ma, Hongyin Guo, Zhen‐Ni Wang, Le Qu, Yang Fan, Lei Liu, Xingliang Liu, Jie Zhu, Yuanyuan Yang, Yi Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title_full | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title_fullStr | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title_full_unstemmed | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title_short | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
title_sort | impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739047/ https://www.ncbi.nlm.nih.gov/pubmed/34894087 http://dx.doi.org/10.1111/cns.13778 |
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