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Poudel GR, Hawes S, Innes CRH, Parsons N, Drummond SPA, Caeyensberghs K, Jones RD. RoWDI: rolling window detection of sleep intrusions in the awake brain using fMRI. J Neural Eng 2021; 18. [PMID: 34592721 DOI: 10.1088/1741-2552/ac2bb9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 09/30/2021] [Indexed: 11/12/2022]
Abstract
Objective.Brief episodes of sleep can intrude into the awake human brain due to lack of sleep or fatigue-compromising the safety of critical daily tasks (i.e. driving). These intrusions can also introduce artefactual activity within functional magnetic resonance imaging (fMRI) experiments, prompting the need for an objective and effective method of removing them.Approach.We have developed a method to track sleep-like events in awake humans via rolling window detection of intrusions (RoWDI) of fMRI signal template. These events can then be used in voxel-wise event-related analysis of fMRI data. To test this approach, we generated a template of fMRI activity associated with transition to sleep via simultaneous fMRI and electroencephalogram (EEG) (N= 10). RoWDI was then used to identify sleep-like events in 20 individuals performing a cognitive task during fMRI after a night of partial sleep deprivation. This approach was further validated in an independent fMRI dataset (N= 56).Main results.Our method (RoWDI) was able to infer frequent sleep-like events during the cognitive task performed after sleep deprivation. The sleep-like events were associated with on average of 20% reduction in pupil size and prolonged response time. The blood-oxygen-level-dependent activity during the sleep-like events covered thalami-cortical regions, which although spatially distinct, co-existed with, task-related activity. These key findings were validated in the independent dataset.Significance.RoWDI can reliably detect spontaneous sleep-like events in the human brain. Thus, it may also be used as a tool to delineate and account for neural activity associated with wake-sleep transitions in both resting-state and task-related fMRI studies.
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Affiliation(s)
- Govinda R Poudel
- Mary Mackillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia.,New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Stephanie Hawes
- Mary Mackillop Institute for Health Research, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Carrie R H Innes
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Nicholas Parsons
- Cognitive Neuroscience Unit, School of Psychology, Deakins University, Melbourne, Australia
| | - Sean P A Drummond
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Karen Caeyensberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakins University, Melbourne, Australia
| | - Richard D Jones
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.,School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
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