A unified central thalamus mechanism underlying diverse recoveries in disorders of consciousness
Zhang, H.; Ge, Q.; Liu, X.; Dang, Y.; Xu, L.; Zhuang, Y.; Wu, S.; Laureys, S.; He, J.; Yu, S.
Show abstract
Disorders of consciousness (DoC) encompass a range of states characterized by prolonged altered awareness due to heterogeneous brain damage and are associated with highly diverse prognoses. However, the neural mechanisms underlying such diverse recoveries in DoC remain unclear. To address this issue, we analysed neuronal spiking activities recorded from the central thalamus (CT), a key hub in arousal regulation, in a cohort of 23 DoC patients receiving deep brain stimulation treatment. Using machine learning techniques, we identified a core set of electrophysiological features of the CT, particularly the theta rhythm, that could account for individual recovery outcomes across highly varied etiologies (trauma, brainstem hemorrhage, and anoxia), clinical baselines and patient ages. These features also correctly identified one subgroup of patients who exhibited poor initial clinical manifestations but recovered unexpectedly. Simulating a conductance-based model further revealed the neurodynamics of the theta rhythm in the CT during different stages of consciousness recovery. Taken together, these findings uncover a previously unknown, unified CT mechanism that governs the recoveries in DoC.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges in Humans 94%
- Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord 94%
- Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep 94%
Similar papers in this journal
- Therapeutic dose prediction of α5-GABA receptor modulation from simulated EEG of depression severity 95%
- Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness 94%
- Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making 94%
Similar papers in this journal
- Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits 95%
- Cortical mapping of the sensory response reveals strong brain-state dependence of the late component 94%
- Impaired axon regeneration and heightened synaptic dynamics in the injured aged mammalian cortex 94%
Similar papers in this journal
- Distributed harmonic patterns of structure-function dependence orchestrate human consciousness 94%
- Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale 93%
- The neuroreceptors and transporters underlying spontaneous brain activity 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.