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 blood...
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Veröffentlicht in: | CNS neuroscience & therapeutics 2022-02, Vol.28 (2), p.298-306 |
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creator | Liu, Zhaojun Ma, Hongyin Guo, Zhen‐Ni Wang, Le Qu, Yang Fan, Lei Liu, Xingliang Liu, Jie Zhu, Yuanyuan Yang, Yi |
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.
This is the first study to investigate the relationship between dCA function and comprehensive neuroimaging characteristics of CSVD. The findings linked dCA impairment with cerebral small vessel injuries and proposed that dCA monitoring may help evaluate the small vessel function and provide novel therapeutic targets. |
doi_str_mv | 10.1111/cns.13778 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8739047</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2617194825</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4438-9c097d407b24749e7a85d76ab45d67627a76124129f1c39f47f994a952eacc513</originalsourceid><addsrcrecordid>eNp1kU2LFDEQhhtR3HX14B-QgBc9zG6STneSiyCDHwuLHtRzqElXz2Tp7oyp9Cxz9ZebcdZBBeuSgnp4eMNbVc8FvxRlrvxEl6LW2jyozoVumkVjlX142mt-Vj0huuW8lcaax9VZrYxV3Ojz6sf1uIWQsGPdfoIxeOYx4SrBwGDOMeF6HiCHOLFADIiiD5ALfRfyhuUNMsIdppD3LPZswjnFMMI6TGvWI-Q5IR0OJyeNMAxsh0Q4sC4QAuHT6lEPA-Gz-_ei-vb-3dflx8XN5w_Xy7c3C69UbRbWc6s7xfVKKq0sajBNp1tYqaZrdSs16FZIJaTtha9tr3RvrQLbSATvG1FfVG-O3u28GrHzOOUSyW1TSZz2LkJwf1-msHHruHNG15YrXQSv7gUpfp-RshsDeRwGmDDO5GQrjKx1a9qCvvwHvY1zmsr3DpQWVhnZFOr1kfIpEiXsT2EEd4dmXWnW_Wq2sC_-TH8if1dZgKsjcBcG3P_f5JafvhyVPwFTybBK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2617194825</pqid></control><display><type>article</type><title>Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease</title><source>MEDLINE</source><source>Wiley Online Library Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Liu, Zhaojun ; Ma, Hongyin ; Guo, Zhen‐Ni ; Wang, Le ; Qu, Yang ; Fan, Lei ; Liu, Xingliang ; Liu, Jie ; Zhu, Yuanyuan ; Yang, Yi</creator><creatorcontrib>Liu, Zhaojun ; Ma, Hongyin ; Guo, Zhen‐Ni ; Wang, Le ; Qu, Yang ; Fan, Lei ; Liu, Xingliang ; Liu, Jie ; Zhu, Yuanyuan ; Yang, Yi</creatorcontrib><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.
This is the first study to investigate the relationship between dCA function and comprehensive neuroimaging characteristics of CSVD. The findings linked dCA impairment with cerebral small vessel injuries and proposed that dCA monitoring may help evaluate the small vessel function and provide novel therapeutic targets.</description><identifier>ISSN: 1755-5930</identifier><identifier>EISSN: 1755-5949</identifier><identifier>DOI: 10.1111/cns.13778</identifier><identifier>PMID: 34894087</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Adult ; Aged ; Blood flow ; Blood pressure ; Case-Control Studies ; Cerebral blood flow ; cerebral small vessel disease ; Cerebral Small Vessel Diseases - diagnostic imaging ; Cerebral Small Vessel Diseases - pathology ; Cerebral Small Vessel Diseases - physiopathology ; Cerebrovascular Circulation - physiology ; Cooperation ; dynamic cerebral autoregulation ; Female ; Flow velocity ; Hemodynamics ; Homeostasis - physiology ; Humans ; Laboratories ; Magnetic Resonance Imaging ; Male ; Medical imaging ; Middle Aged ; Neuroimaging ; Original ; Pathology ; Patient Acuity ; Stroke ; Structure-function relationships ; Substantia alba ; total CSVD burden score ; transfer function analysis ; Vascular diseases ; Veins & arteries ; White Matter - diagnostic imaging ; White Matter - pathology</subject><ispartof>CNS neuroscience & therapeutics, 2022-02, Vol.28 (2), p.298-306</ispartof><rights>2021 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2021 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.</rights><rights>2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4438-9c097d407b24749e7a85d76ab45d67627a76124129f1c39f47f994a952eacc513</citedby><cites>FETCH-LOGICAL-c4438-9c097d407b24749e7a85d76ab45d67627a76124129f1c39f47f994a952eacc513</cites><orcidid>0000-0002-9729-8522</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739047/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739047/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34894087$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Zhaojun</creatorcontrib><creatorcontrib>Ma, Hongyin</creatorcontrib><creatorcontrib>Guo, Zhen‐Ni</creatorcontrib><creatorcontrib>Wang, Le</creatorcontrib><creatorcontrib>Qu, Yang</creatorcontrib><creatorcontrib>Fan, Lei</creatorcontrib><creatorcontrib>Liu, Xingliang</creatorcontrib><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Zhu, Yuanyuan</creatorcontrib><creatorcontrib>Yang, Yi</creatorcontrib><title>Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease</title><title>CNS neuroscience & therapeutics</title><addtitle>CNS Neurosci Ther</addtitle><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.
This is the first study to investigate the relationship between dCA function and comprehensive neuroimaging characteristics of CSVD. The findings linked dCA impairment with cerebral small vessel injuries and proposed that dCA monitoring may help evaluate the small vessel function and provide novel therapeutic targets.</description><subject>Adult</subject><subject>Aged</subject><subject>Blood flow</subject><subject>Blood pressure</subject><subject>Case-Control Studies</subject><subject>Cerebral blood flow</subject><subject>cerebral small vessel disease</subject><subject>Cerebral Small Vessel Diseases - diagnostic imaging</subject><subject>Cerebral Small Vessel Diseases - pathology</subject><subject>Cerebral Small Vessel Diseases - physiopathology</subject><subject>Cerebrovascular Circulation - physiology</subject><subject>Cooperation</subject><subject>dynamic cerebral autoregulation</subject><subject>Female</subject><subject>Flow velocity</subject><subject>Hemodynamics</subject><subject>Homeostasis - physiology</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Neuroimaging</subject><subject>Original</subject><subject>Pathology</subject><subject>Patient Acuity</subject><subject>Stroke</subject><subject>Structure-function relationships</subject><subject>Substantia alba</subject><subject>total CSVD burden score</subject><subject>transfer function analysis</subject><subject>Vascular diseases</subject><subject>Veins & arteries</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - pathology</subject><issn>1755-5930</issn><issn>1755-5949</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU2LFDEQhhtR3HX14B-QgBc9zG6STneSiyCDHwuLHtRzqElXz2Tp7oyp9Cxz9ZebcdZBBeuSgnp4eMNbVc8FvxRlrvxEl6LW2jyozoVumkVjlX142mt-Vj0huuW8lcaax9VZrYxV3Ojz6sf1uIWQsGPdfoIxeOYx4SrBwGDOMeF6HiCHOLFADIiiD5ALfRfyhuUNMsIdppD3LPZswjnFMMI6TGvWI-Q5IR0OJyeNMAxsh0Q4sC4QAuHT6lEPA-Gz-_ei-vb-3dflx8XN5w_Xy7c3C69UbRbWc6s7xfVKKq0sajBNp1tYqaZrdSs16FZIJaTtha9tr3RvrQLbSATvG1FfVG-O3u28GrHzOOUSyW1TSZz2LkJwf1-msHHruHNG15YrXQSv7gUpfp-RshsDeRwGmDDO5GQrjKx1a9qCvvwHvY1zmsr3DpQWVhnZFOr1kfIpEiXsT2EEd4dmXWnW_Wq2sC_-TH8if1dZgKsjcBcG3P_f5JafvhyVPwFTybBK</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Liu, Zhaojun</creator><creator>Ma, Hongyin</creator><creator>Guo, Zhen‐Ni</creator><creator>Wang, Le</creator><creator>Qu, Yang</creator><creator>Fan, Lei</creator><creator>Liu, Xingliang</creator><creator>Liu, Jie</creator><creator>Zhu, Yuanyuan</creator><creator>Yang, Yi</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9729-8522</orcidid></search><sort><creationdate>202202</creationdate><title>Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease</title><author>Liu, Zhaojun ; Ma, Hongyin ; Guo, Zhen‐Ni ; Wang, Le ; Qu, Yang ; Fan, Lei ; Liu, Xingliang ; Liu, Jie ; Zhu, Yuanyuan ; Yang, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4438-9c097d407b24749e7a85d76ab45d67627a76124129f1c39f47f994a952eacc513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Blood flow</topic><topic>Blood pressure</topic><topic>Case-Control Studies</topic><topic>Cerebral blood flow</topic><topic>cerebral small vessel disease</topic><topic>Cerebral Small Vessel Diseases - diagnostic imaging</topic><topic>Cerebral Small Vessel Diseases - pathology</topic><topic>Cerebral Small Vessel Diseases - physiopathology</topic><topic>Cerebrovascular Circulation - physiology</topic><topic>Cooperation</topic><topic>dynamic cerebral autoregulation</topic><topic>Female</topic><topic>Flow velocity</topic><topic>Hemodynamics</topic><topic>Homeostasis - physiology</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Neuroimaging</topic><topic>Original</topic><topic>Pathology</topic><topic>Patient Acuity</topic><topic>Stroke</topic><topic>Structure-function relationships</topic><topic>Substantia alba</topic><topic>total CSVD burden score</topic><topic>transfer function analysis</topic><topic>Vascular diseases</topic><topic>Veins & arteries</topic><topic>White Matter - diagnostic imaging</topic><topic>White Matter - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhaojun</creatorcontrib><creatorcontrib>Ma, Hongyin</creatorcontrib><creatorcontrib>Guo, Zhen‐Ni</creatorcontrib><creatorcontrib>Wang, Le</creatorcontrib><creatorcontrib>Qu, Yang</creatorcontrib><creatorcontrib>Fan, Lei</creatorcontrib><creatorcontrib>Liu, Xingliang</creatorcontrib><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Zhu, Yuanyuan</creatorcontrib><creatorcontrib>Yang, Yi</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>CNS neuroscience & therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Zhaojun</au><au>Ma, Hongyin</au><au>Guo, Zhen‐Ni</au><au>Wang, Le</au><au>Qu, Yang</au><au>Fan, Lei</au><au>Liu, Xingliang</au><au>Liu, Jie</au><au>Zhu, Yuanyuan</au><au>Yang, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease</atitle><jtitle>CNS neuroscience & therapeutics</jtitle><addtitle>CNS Neurosci Ther</addtitle><date>2022-02</date><risdate>2022</risdate><volume>28</volume><issue>2</issue><spage>298</spage><epage>306</epage><pages>298-306</pages><issn>1755-5930</issn><eissn>1755-5949</eissn><abstract>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.
This is the first study to investigate the relationship between dCA function and comprehensive neuroimaging characteristics of CSVD. The findings linked dCA impairment with cerebral small vessel injuries and proposed that dCA monitoring may help evaluate the small vessel function and provide novel therapeutic targets.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>34894087</pmid><doi>10.1111/cns.13778</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9729-8522</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Blood flow Blood pressure Case-Control Studies Cerebral blood flow cerebral small vessel disease Cerebral Small Vessel Diseases - diagnostic imaging Cerebral Small Vessel Diseases - pathology Cerebral Small Vessel Diseases - physiopathology Cerebrovascular Circulation - physiology Cooperation dynamic cerebral autoregulation Female Flow velocity Hemodynamics Homeostasis - physiology Humans Laboratories Magnetic Resonance Imaging Male Medical imaging Middle Aged Neuroimaging Original Pathology Patient Acuity Stroke Structure-function relationships Substantia alba total CSVD burden score transfer function analysis Vascular diseases Veins & arteries White Matter - diagnostic imaging White Matter - pathology |
title | Impaired dynamic cerebral autoregulation is associated with the severity of neuroimaging features of cerebral small vessel disease |
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