Resting-state Functional Magnetic Resonance Imaging Identifies Cerebrovascular Reactivity Impairment in Patients With Arterial Occlusive Diseases: A Pilot Study.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
01 11 2019
Historique:
received: 15 03 2018
accepted: 16 08 2018
pubmed: 25 9 2018
medline: 26 3 2020
entrez: 25 9 2018
Statut: ppublish

Résumé

The development of noninvasive approaches for identifying hypoperfused brain tissue at risk is of major interest. Recently, the temporal-shift (TS) maps estimated from resting-state blood oxygenation level-dependent (BOLD) signals have been proposed for determining hemodynamic state. To examine the equivalency of the TS map and the cerebrovascular reactivity (CVR) map derived from acetazolamide-challenged single-photon emission computed tomography (SPECT) in identifying hemodynamic impairment in patients with arterial occlusive diseases. Twenty-three patients with arterial occlusive diseases who underwent SPECT were studied. With a recursive TS analysis of low-frequency fluctuation of the BOLD signal, a TS map relative to the global signal was created for each patient. The voxel-by-voxel correlation coefficient was calculated to examine the image similarity between TS and SPECT-based cerebral blood flow (CBF) or CVR maps in each patient. Furthermore, simple linear regression analyses were performed to examine the quantitative relationship between the TS of BOLD signals and CVR in each cerebrovascular territory. The within-patient, voxel-by-voxel comparison revealed that the TS map was more closely correlated with SPECT-CVR map ([Z(r)] = 0.42 ± 0.18) than SPECT-CBF map ([Z(r)] = 0.058 ± 0.11; P < .001, paired t-test). The regression analysis showed a significant linear association between the TS of BOLD signals and CVR in the anterior circulation where the reduction of CVR was evident in the patient group. BOLD TS analysis has potential as a noninvasive alternative to current methods based on CVR for identification of tissue at risk of ischemic stroke.

Sections du résumé

BACKGROUND
The development of noninvasive approaches for identifying hypoperfused brain tissue at risk is of major interest. Recently, the temporal-shift (TS) maps estimated from resting-state blood oxygenation level-dependent (BOLD) signals have been proposed for determining hemodynamic state.
OBJECTIVE
To examine the equivalency of the TS map and the cerebrovascular reactivity (CVR) map derived from acetazolamide-challenged single-photon emission computed tomography (SPECT) in identifying hemodynamic impairment in patients with arterial occlusive diseases.
METHODS
Twenty-three patients with arterial occlusive diseases who underwent SPECT were studied. With a recursive TS analysis of low-frequency fluctuation of the BOLD signal, a TS map relative to the global signal was created for each patient. The voxel-by-voxel correlation coefficient was calculated to examine the image similarity between TS and SPECT-based cerebral blood flow (CBF) or CVR maps in each patient. Furthermore, simple linear regression analyses were performed to examine the quantitative relationship between the TS of BOLD signals and CVR in each cerebrovascular territory.
RESULTS
The within-patient, voxel-by-voxel comparison revealed that the TS map was more closely correlated with SPECT-CVR map ([Z(r)] = 0.42 ± 0.18) than SPECT-CBF map ([Z(r)] = 0.058 ± 0.11; P < .001, paired t-test). The regression analysis showed a significant linear association between the TS of BOLD signals and CVR in the anterior circulation where the reduction of CVR was evident in the patient group.
CONCLUSION
BOLD TS analysis has potential as a noninvasive alternative to current methods based on CVR for identification of tissue at risk of ischemic stroke.

Identifiants

pubmed: 30247676
pii: 5104724
doi: 10.1093/neuros/nyy434
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

680-688

Informations de copyright

Copyright © 2018 by the Congress of Neurological Surgeons.

Auteurs

Sei Nishida (S)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Toshihiko Aso (T)

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Shigetoshi Takaya (S)

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Senri Rehabilitation Hospital, Mino City, Osaka Prefecture, Japan.

Yuki Takahashi (Y)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Takayuki Kikuchi (T)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Takeshi Funaki (T)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Kazumichi Yoshida (K)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Tomohisa Okada (T)

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Department of Radiology, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Takeharu Kunieda (T)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.
Department of Neurosurgery, Ehime University Graduate School of Medicine, Toon City, Ehime Prefecture, Japan.

Kaori Togashi (K)

Department of Radiology, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Hidenao Fukuyama (H)

Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

Susumu Miyamoto (S)

Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto Prefecture, Japan.

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