All-night functional magnetic resonance imaging sleep studies.
J Neurosci Methods
; 316: 83-98, 2019 03 15.
Article
en En
| MEDLINE
| ID: mdl-30243817
ABSTRACT
BACKGROUND:
Previous functional magnetic resonance imaging (fMRI) sleep studies have been hampered by the difficulty of obtaining extended amounts of sleep in the sleep-adverse environment of the scanner and often have resorted to manipulations such as sleep depriving subjects before scanning. These manipulations limit the generalizability of the results. NEWMETHOD:
The current study is a methodological validation of procedures aimed at obtaining all-night fMRI data in sleeping subjects with minimal exposure to experimentally induced sleep deprivation. Specifically, subjects slept in the scanner on two consecutive nights, allowing the first night to serve as an adaptation night. RESULTS/COMPARISON WITH EXISTING METHOD(S) Sleep scoring results from simultaneously acquired electroencephalography data on Night 2 indicate that subjects (n = 12) reached the full spectrum of sleep stages including slow-wave (M = 52.1 min, SD = 26.5 min) and rapid eye movement (REM, M = 45.2 min, SD = 27.9 min) sleep and exhibited a mean of 2.1 (SD = 1.1) nonREM-REM sleep cycles.CONCLUSIONS:
It was found that by diligently applying fundamental principles and methodologies of sleep and neuroimaging science, performing all-night fMRI sleep studies is feasible. However, because the two nights of the study were performed consecutively, some sleep deprivation from Night 1 as a cause of the Night 2 results is likely, so consideration should be given to replicating the current study with a washout period. It is envisioned that other laboratories can adopt the core features of this protocol to obtain similar results.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Fases del Sueño
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Encéfalo
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Imagen por Resonancia Magnética
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Electroencefalografía
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Neuroimagen Funcional
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Red Nerviosa
Límite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
J Neurosci Methods
Año:
2019
Tipo del documento:
Article
País de afiliación:
Estados Unidos