Alpha thalamocortical networks during propofol general anesthesia and disorders of consciousness

Alpha (8-12 Hz) rhythms are a fundamental feature of awake electroencephalography (EEG), thought to be generated by circuits connecting the cortex and thalamus. These rhythms provide a functional architecture for cortical activity underpinning cognitive and sensory processing. Attenuation of alpha power has been linked to clinical states of unconsciousness. General anesthesia and disorders of consciousness (DoC) offer experimentallyaccessible conditions in which to study alpha disruptions using scalp and intracranial EEG recordings. To produce novel signatures of posterior alpha loss in DoC, we analyzed coherent networks in EEG of patients during recovery from DoC. To map thalamocortical networks involved in propofol-induced unconsciousness, we conducted coherence analysis of alpha networks in intracranial EEG recorded in patients with pharmacologically-refractory epilepsy and performed probabilistic tractography analysis of thalamocortical fibers in a matched cohort of healthy subjects. We found a posterior alpha network in recordings of clinical EEG and intracranial EEG that is lost during states of unconsciousness. We also found that propofol anesthesia induces alpha in medial regions of the frontal cortex and the medial temporal lobe after loss of consciousness. The cortical source of propofol-induced alpha is structurally connected to the mediodorsal nucleus of the anterior thalamus, whereas regions that generate waking alpha are connected to the pulvinar nucleus of the sensory thalamus. Our findings suggest that posterior alpha coherence is a unified signature of conscious brain states and that frontal alpha may contribute to cognitive impairment during anesthesia and sedation.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Zhou, David Wei

Advisors dc:contributor.advisor

• Brown, Emery N.
• Edlow, Brian L.
• Purdon, Patrick L.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/147395

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/147395