Together they suggest that thalamic dynamics contribute to motor learning through multiple mechanisms: beta-band power reflects the emergence of learned motor representations, whereas beta–high-frequency coupling is enhanced when the context is less predictable.
Abstract
The ventrointermediate nucleus of the thalamus (VIM) is implicated in motor sequence learning, yet the underlying neural mechanisms remain unclear. We recorded intracranial activity from the human VIM during a serial reaction time task to determine how neural dynamics support learning. Participants responded faster during repeating than randomized sequences. Beta-to-low-gamma activity was greater during repeating sequences and elevated relative to the prestimulus baseline, consistent with emergence and stabilization of learned motor representations. In contrast, beta-phase modulation of high-frequency activity decreased progressively from rest to random to repeated sequence execution. Stronger phase–amplitude coupling was associated with faster responses, reaching significance in the random condition. These findings reveal a dissociation between power and cross-frequency coupling. Together they suggest that thalamic dynamics contribute to motor learning through multiple mechanisms: beta-band power reflects the emergence of learned motor representations, whereas beta–high-frequency coupling is enhanced when the context is less predictable.
Motor sequence learning recruits a distributed sensorimotor network. Within this network, the premotor cortex (PMC) encodes and represents sequence information while the primary motor cortex (M1) executes movement sequences. Like M1, PMC neuronal populations exhibit mu (8-13 Hz) rhythms, which are typically non-sinusoi...
T. Suresh, Uttara U. Khatri, Sara J. Hussain· Journal of Neuroscience· 0 citations
This approach establishes a blueprint for non-invasively mapping cortico-cerebellar network dynamics, providing a framework to study circuit-level dysfunctions in disorders affecting the cerebellum and show that cortico-cerebellar coupling functions as a gating mechanism and suggest that cerebellar circuits modulate co...
Coen S. Zandvoort, Charlotte C. Wissing, Jonathan Winter et al.· bioRxiv· 0 citations
Despite enabling nearly all cerebellar-cortical communication, how the thalamus processes and interacts with cerebellar activity remains unclear. We found a pronounced 1-5 Hz (delta) rhythm in the thalamic membrane potential and cerebellothalamocortical local field potentials during nonmoving periods in behaving mice....
The hippocampus and neocortex are thought to undergo reorganization to incorporate new information during learning. How can we identify network states that indicate learning is occurring? In the hippocampus, one network signature with these properties is the sharp wave–ripple (SWR), which occurs more frequently during...
Sameera Shridhar, Zachary M. Leveroni, Nan Zhou et al.· eNeuro· 0 citations
With practice, rapid early gains in performance are followed by a slower phase marked by kinematic refinement, automaticity and enhanced cortical and striatal interactions. While sleep is known to support early learning, its causal role in the slow phase of learning is not known. Here we recorded neuronal activity in p...
Aviv D. Mizrahi-Kliger, Samantha Coury, Cameron L. Woodard et al.· bioRxiv· 0 citations
It is suggested that rhythmic activity in the striatum is more closely linked to motor preparation, whereas cerebellar activity provides a more movement-invariant representation that may contribute to the formation of an internal model of rhythmic stimulus sequence.
Masashi Kameda, Masaki Tanaka· Journal of Neuroscience· 0 citations
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