Examining temporal features of BOLD-based cerebrovascular reactivity in clinical populations.
blood oxygenation level dependent functional magnetic resonance imaging
cerebrovascular reactivity
inter-regional heterogeneity
non-parametric
sleep apnea
small vessel disease
Journal
Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899
Informations de publication
Date de publication:
2023
2023
Historique:
received:
04
04
2023
accepted:
25
05
2023
medline:
3
7
2023
pubmed:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
Conventional cerebrovascular reactivity (CVR) estimation has demonstrated that many brain diseases and/or conditions are associated with altered CVR. Despite the clinical potential of CVR, characterization of temporal features of a CVR challenge remains uncommon. This work is motivated by the need to develop CVR parameters that characterize individual temporal features of a CVR challenge. Data were collected from 54 adults and recruited based on these criteria: (1) Alzheimer's disease diagnosis or subcortical Vascular Cognitive Impairment, (2) sleep apnea, and (3) subjective cognitive impairment concerns. We investigated signal changes in blood oxygenation level dependent (BOLD) contrast images with respect to hypercapnic and normocapnic CVR transition periods during a gas manipulation paradigm. We developed a model-free, non-parametric CVR metric after considering a range of responses through simulations to characterize BOLD signal changes that occur when transitioning from normocapnia to hypercapnia. The non-parametric CVR measure was used to examine regional differences across the insula, hippocampus, thalamus, and centrum semiovale. We also examined the BOLD signal transition from hypercapnia back to normocapnia. We found a linear association between isolated temporal features of successive CO This study demonstrates that it is feasible to examine individual responses associated with normocapnic and hypercapnic transition periods of a BOLD-based CVR experiment. Studying these features can provide insight on between-subject differences in CVR.
Sections du résumé
Background
UNASSIGNED
Conventional cerebrovascular reactivity (CVR) estimation has demonstrated that many brain diseases and/or conditions are associated with altered CVR. Despite the clinical potential of CVR, characterization of temporal features of a CVR challenge remains uncommon. This work is motivated by the need to develop CVR parameters that characterize individual temporal features of a CVR challenge.
Methods
UNASSIGNED
Data were collected from 54 adults and recruited based on these criteria: (1) Alzheimer's disease diagnosis or subcortical Vascular Cognitive Impairment, (2) sleep apnea, and (3) subjective cognitive impairment concerns. We investigated signal changes in blood oxygenation level dependent (BOLD) contrast images with respect to hypercapnic and normocapnic CVR transition periods during a gas manipulation paradigm. We developed a model-free, non-parametric CVR metric after considering a range of responses through simulations to characterize BOLD signal changes that occur when transitioning from normocapnia to hypercapnia. The non-parametric CVR measure was used to examine regional differences across the insula, hippocampus, thalamus, and centrum semiovale. We also examined the BOLD signal transition from hypercapnia back to normocapnia.
Results
UNASSIGNED
We found a linear association between isolated temporal features of successive CO
Conclusion
UNASSIGNED
This study demonstrates that it is feasible to examine individual responses associated with normocapnic and hypercapnic transition periods of a BOLD-based CVR experiment. Studying these features can provide insight on between-subject differences in CVR.
Identifiants
pubmed: 37396759
doi: 10.3389/fneur.2023.1199805
pmc: PMC10310960
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1199805Informations de copyright
Copyright © 2023 Marchena-Romero, Ji, Sommer, Centen, Ramirez, Poulin, Mikulis, Thrippleton, Wardlaw, Lim, Black and MacIntosh.
Déclaration de conflit d'intérêts
DM contributed to the development of the RespirAct Gen3 breathing circuit (Thornhill Research, Toronto, Canada). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Adv Physiol Educ. 2016 Mar;40(1):79-92
pubmed: 26873894
Neuroimage. 2019 Feb 15;187:154-165
pubmed: 29217405
Neuroimage. 2019 Feb 1;186:533-548
pubmed: 30423427
Alzheimers Dement. 2011 May;7(3):270-9
pubmed: 21514249
Sleep Med. 2018 Mar;43:7-13
pubmed: 29482816
Neurology. 1992 Sep;42(9):1727-32
pubmed: 1513461
Neurosci Biobehav Rev. 2017 Aug;79:66-86
pubmed: 28476525
Radiology. 1995 Feb;194(2):469-76
pubmed: 7824728
Neuroimage. 2018 Nov 1;181:132-141
pubmed: 29981482
J Magn Reson. 2013 Apr;229:90-100
pubmed: 23473893
Sleep Med. 2020 Sep;73:125-129
pubmed: 32827884
J Cereb Blood Flow Metab. 2014 Feb;34(2):242-7
pubmed: 24192640
J Neuroradiol. 2021 Sep;48(5):339-345
pubmed: 32466863
Neuroimage. 2011 Sep 15;58(2):579-87
pubmed: 21745581
Radiology. 2021 May;299(2):419-425
pubmed: 33687287
Int J Stroke. 2015 Oct;10(7):1044-50
pubmed: 26120782
Neuroimage Clin. 2016 Sep 13;12:624-630
pubmed: 27722086
Med Sci Monit. 2018 Aug 03;24:5398-5404
pubmed: 30074982
Hum Brain Mapp. 2017 Jul;38(7):3415-3427
pubmed: 28370825
Circ Res. 1986 Nov;59(5):483-95
pubmed: 3542277
Hum Brain Mapp. 2017 Nov;38(11):5590-5602
pubmed: 28782872
Neuroimage. 2012 May 15;61(1):115-30
pubmed: 22398395
J Cereb Blood Flow Metab. 2015 Nov;35(11):1746-56
pubmed: 26126862
J Cereb Blood Flow Metab. 2021 Aug;41(8):1886-1898
pubmed: 33444087
Front Physiol. 2021 Feb 18;12:640075
pubmed: 33679453
Sleep Med. 2004 Nov;5(6):593-6
pubmed: 15511707
Neuroimage. 2015 Jul 1;114:239-48
pubmed: 25876215
Neuroimage Clin. 2018;20:883-891
pubmed: 30290303
Neurology. 2016 Nov 29;87(22):2333-2339
pubmed: 27794113
Int J Stroke. 2018 Feb;13(2):195-206
pubmed: 28933655
Hum Brain Mapp. 2020 Feb 1;41(2):291-308
pubmed: 31609046
Front Physiol. 2021 Jan 28;12:601369
pubmed: 33584344
AJNR Am J Neuroradiol. 2009 May;30(5):972-7
pubmed: 19435945
Sleep Med. 2003 Sep;4(5):451-4
pubmed: 14592287
Neuroimage. 2015 Jul 1;114:207-16
pubmed: 25891374
Eur Neurol. 2007;58(2):84-9
pubmed: 17565221
Physiol Rep. 2016 Jun;4(12):
pubmed: 27335431
Philos Trans R Soc Lond B Biol Sci. 2001 Aug 29;356(1412):1293-322
pubmed: 11545704
Ann Neurol. 2016 Aug;80(2):277-85
pubmed: 27352039
Stroke. 2018 Mar;49(3):621-629
pubmed: 29371433
NMR Biomed. 2019 Mar;32(3):e4064
pubmed: 30693582
Clin Physiol Funct Imaging. 2018 May;38(3):502-507
pubmed: 28574166
J Neuropathol Exp Neurol. 2017 Apr 1;76(4):299-312
pubmed: 28431180
Clin Physiol Funct Imaging. 2018 Jan;38(1):87-92
pubmed: 27572110
Neuroimage Clin. 2016 Jun 25;12:173-9
pubmed: 27437178
Magn Reson Med. 2011 May;65(5):1278-86
pubmed: 21500256
Alzheimers Dement. 2012 Jan;8(1):1-13
pubmed: 22265587
Can J Neurol Sci. 2020 May;47(3):366-373
pubmed: 32051047
J Cereb Blood Flow Metab. 2020 Jun;40(6):1328-1337
pubmed: 31307289
J Cereb Blood Flow Metab. 2013 Jul;33(7):1066-74
pubmed: 23571282
J Cereb Blood Flow Metab. 2022 Jan;42(1):136-144
pubmed: 34431378
Stroke. 2005 Apr;36(4):751-6
pubmed: 15705935
Sleep Med. 2014 Aug;15(8):892-8
pubmed: 24916094
Neuroimage. 2015 Apr 15;110:110-23
pubmed: 25655446