Integrated Network of Parietal Cortex, Striatum and Thalamus Predicts Level of Consciousness

Autor: Michelle J. Redinbaugh, Yuri B. Saalmann, Mohsen Afrasiabi, Jessica M. Phillips, Aeyal Raz, Andrew M. Haun, Niranjan A. Kambi, Sounak Mohanta
Rok vydání: 2020
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
Popis: The neural substrates of consciousness remain elusive. Competing theories that attempt to explain consciousness disagree on the contribution of frontal versus posterior cortex, and omit subcortical influences. This lack of understanding impedes the ability to monitor consciousness, which can lead to adverse clinical consequences. To test substrates and measures of consciousness, we recorded simultaneously from frontal cortex, parietal cortex and subcortical structures, the striatum and thalamus, in awake, sleeping and anesthetized macaques. We manipulated consciousness on a finer scale using thalamic stimulation, rousing macaques from continuously administered anesthesia. Our results show that, unlike measures targeting complexity, a measure additionally capturing neural integration (Φ*) robustly correlated with changes in consciousness. Machine learning approaches show parietal cortex, striatum and thalamus contributed more than frontal cortex to decoding differences in consciousness. These findings highlight the importance of integration between parietal and subcortical structures, and challenge a key role for frontal cortex in consciousness.
Databáze: OpenAIRE