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The cerebellum acts as a forward internal model to predict motor outcomes, compare them with sensory feedback, and generate prediction errors that refine prediction accuracy. Our physiological understanding of cerebellar function during motor control derives predominantly from animal experiments and clinical observations in patients with disorders of the cerebellum or its connections with the cerebrum and spinal cord. Here, we report a human electrophysiology-based investigation of cerebello-thalamo-cortical pathway activity during motor error detection and correction. Participants performed a computerized motor oddball task while synchronized electrophysiological recordings were collected from cerebellar dentate (DN) using depth electrodes and scalp electroencephalography (EEG). The task involved moving a 2-D ball on a screen toward a predetermined target at 40% (standard trials) or 20% (oddball trials) of their maximum voluntary contraction. Six participants completed an average of 239 trials, with oddball trials randomly occurring with a 30% frequency. At the cortex, oddball trials exhibited significantly greater centro-parietal error positivity and fronto-centro-parietal desynchronization during error correction, predominantly in the alpha and low beta frequency bands. DN examination also revealed greater alpha and low beta desynchronization during error correction. Lastly, oddball trials showed significantly greater cortico-cerebellar coherence during error correction in the same frequency bands with bidirectional interaction between the cortex and DN. These findings expand on the cortico-cerebello-cortical physiology of human motor control and provide cues for designing interventions aimed at alleviating the functional burdens of acquired injuries of the central nervous system.
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http://dx.doi.org/10.1002/hbm.70227 | DOI Listing |
Mol Autism
August 2025
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany.
Background: Sensory processing requires selectivity to salient sensory input. Many autistic individuals report different sensory processing, which has been associated with altered sensory selectivity. The locus-coeruleus norepinephrine (LC-NE) system modulates the neuronal gain of sensory input, which represents a neurophysiological mechanism of sensory selectivity.
View Article and Find Full Text PDFTransl Psychiatry
August 2025
The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, K1Z 7K4, Canada.
Schizophrenia is a complex mental disorder whose pathophysiological mechanisms remain yet unclear. Various lines of evidence converge on a temporal disorder with temporal imprecision occurring in the millisecond range of the ongoing phase cycles. However, the intertrial phase coherence (ITPC) often used to index such temporal imprecision in EEG, is by itself not able to capture temporal irregularities in the range of around 10 milliseconds.
View Article and Find Full Text PDFImaging Neurosci (Camb)
February 2025
Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
The auditory mismatch negativity (MMN) has been widely used to investigate deficits in early auditory information processing, particularly in psychosis. Predictive coding theories suggest that impairments in sensory learning may arise from disturbances in hierarchical message passing, likely due to aberrant precision-weighting of prediction errors (PEs). This study employed a modified auditory oddball paradigm with varying phases of stability and volatility to disentangle the impact of hierarchical PEs on auditory MMN generation in 43 healthy controls (HCs).
View Article and Find Full Text PDFSci Rep
July 2025
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Parkinson's Disease (PD) is one of the most common diseases affecting the human brain, thus approaches are needed to help diagnose it. Since the changes caused by PD are visible in electroencephalograms (EEG), analysis of EEG represents one such approach. In this study, we used 25 EEG recordings of PD patients and 25 of healthy controls, subjected to auditory tasks, available in the Parkinson's Oddball database.
View Article and Find Full Text PDFJ Int Soc Sports Nutr
December 2025
Mahidol University, College of Sports Science and Technology, Nakhonpathom, Thailand.
Background: Caffeine is commonly used to combat fatigue and enhance both cognitive and physical performance. However, its effects on neurophysiological responses and sport-specific performance following fatigue induction remain unclear, particularly in combat sports such as Taekwondo. This study investigated the effects of a 200 mg caffeine dose on physiological markers, electroencephalographic (EEG) brainwave activity, auditory P300 event-related potentials (ERPs), and Taekwondo-specific performance following combined mental and physical fatigue.
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