Dataset Information

Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep.

ABSTRACT: Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep sleep) remains unknown. Here we present a method to reveal the low dimensional intrinsic manifold underlying human brain dynamics, which is invariant of the high dimensional spatio-temporal representation of the neuroimaging technology. By applying this intrinsic manifold framework to fMRI data acquired in wakefulness and sleep, we reveal the nonlinear differences between wakefulness and three different sleep stages, and successfully decode these different brain states with a mean accuracy across participants of 96%. Remarkably, a further group analysis shows that the intrinsic manifolds of all participants share a common topology. Overall, our results reveal the intrinsic manifold underlying the spatiotemporal dynamics of brain activity and demonstrate how this manifold enables the decoding of different brain states such as wakefulness and various sleep stages.

SUBMITTER: Rue-Queralt J

PROVIDER: S-EPMC8270946 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:These studies address temporal changes in gene expression during spontaneous sleep and extended wakefulness in the mouse cerebral cortex, a neuronal target for processes that control sleep; and the hypothalamus, an important site of sleep regulatory processes. We determined these changes by comparing expression in sleeping animals sacrificed at different times during the lights on period, to that in animals sleep deprived and sacrificed at the same diurnal time. Experiment Overall Design: Experiments were performed on male mice (C57/BL6), 10 weeks of age Â±1 week. Animals were housed in a light/dark cycle of 12 hrs, in a pathogen free, temperature- and humidity-controlled room (22Â°C and 45-55%, respectively) with water available ad libitum. Food was accessible for 12 hrs only during the active period. Animals were subjected to 14 days of acclimatization during which a nighttime feeding pattern was established. This was done to avoid differential food intake between mice that were subsequently sleep deprived during the lights on period and those allowed to sleep. Mice were sacrificed following 3, 6, 9 and 12 hrs of total sleep deprivation (n=5 at each time point). Deprivation was initiated at lights-on, and performed through gentle handling. Sleeping animals, which were left undisturbed, were sacrificed at the same diurnal time points as sleep deprived mice (n=5 at each time point). An additional control group of mice were sacrificed at time zero, i.e., at the time of lights-on (n=5). All mice were behaviorally monitored using the AccuScan infrared monitoring system that detects movement when the mouse crosses electronic beams (Columbus Instruments). Mice were sacrificed by cervical dislocation. Brain sectioning was performed according to the mouse brain atlas of Franklin and Paxinos . The primary and secondary motor areas (M1 and M2) of the cerebral cortex and broadly defined regions and zones of the hypothalamus were sampled. RNA was isolated with Trizol (Invitrogen) and further purified using RNeasy columns (Qiagen) as per the manufacturer's instructions.

Dataset Information

Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets