The excitability of the motor cortex is a function of single cell excitability, synaptic strength, and the balance between excitatory cells and inhibitory cells. Sustained periods of sensory stimulation enhance the excitability in the motor cortex. This adaptation, which represents an early change in cortical network function effective in motor learning and recovery from a motor deficit, is followed by longer-lasting changes, such as modifications in cortical somatotopy, and by structural plasticity. Interventions aiming at increasing excitability also positively affect learning processes. Recent studies highlight that the cerebellum, especially the interpositus nucleus, plays a key function in the adaptation of the motor cortex to repeated trains of peripheral stimulation. Interpositus neurons, which receive inputs from the sensorimotor cortex and the spinal cord, are involved in somesthetic reflex behaviors and assist the cerebral cortex in transforming sensory signals to motor-oriented commands by acting via the cerebello-thalamo-cortical projections. Moreover, climbing fibers originating in the inferior olivary complex and innervating the nucleus interpositus mediate highly integrated sensorimotor information derived from spinal modules. The intermediate cerebellum allows the motor cortex to tune the gain of polysynaptic responses originating from the spinal cord after repetitive trains of peripheral stimulation, allowing an online calibration of cutaneo-muscular responses.
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http://dx.doi.org/10.1002/jnr.20733 | DOI Listing |
Front Aging Neurosci
January 2025
Department of Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Background: The perception of Subjective Visual Vertical (SVV) is crucial for postural orientation and significantly reflects an individual's postural control ability, relying on vestibular, visual, and somatic sensory inputs to assess the Earth's gravity line. The neural mechanisms and aging effects on SVV perception, however, remain unclear.
Objective: This study seeks to examine aging-related changes in SVV perception and uncover its neurological underpinnings through functional near-infrared spectroscopy (fNIRS).
Front Hum Neurosci
January 2025
The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
Tourette syndrome (TS) is a neuropsychiatric disorder characterized by chronic motor and phonic tics, with a higher prevalence among boys. This condition can significantly impact patients' learning and daily life. Due to the limited efficacy and potential side effects of pharmacological treatments for TS, there is a critical need to develop novel, tailored therapeutic strategies.
View Article and Find Full Text PDFNeurosurg Focus Video
January 2025
Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; and.
Eloquent brain creates a challenge when resecting brain arteriovenous malformations (bAVMs). Here the authors present their technique of using subcortical motor mapping as an adjunct to increase safety during resection of a high-grade bAVM involving somatosensory cortex as well as cortical spinal tracts and visual tracts. After a bilateral craniotomy, they use direct cortical stimulation of the left motor cortex and subcortical stimulation using a suction stimulator to dynamically map motor tracts during the resection.
View Article and Find Full Text PDFCureus
December 2024
Department of Physiology, Touro College of Osteopathic Medicine, Middletown, USA.
Down syndrome (DS) is a genetic intellectual disorder caused by trisomy of chromosome 21 (Hsa21) and presents with a variety of phenotypes. The correlation between the chromosomal abnormality and the resulting symptoms is unclear, partly due to the spectrum of impairments observed. However, it has been determined that trisomy 21 contributes to neurodegeneration and impaired neurodevelopment resulting from decreased neurotransmission, neurogenesis, and synaptic plasticity.
View Article and Find Full Text PDFProc IEEE Int Symp Biomed Imaging
May 2024
Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Utilizing a multi-task deep learning framework, this study generated synthetic CT (sCT) images from a limited dataset of Ultrashort echo time (UTE) MRI for transcranial focused ultrasound (tFUS) planning. A 3D Transformer U-Net was employed to produce sCT images that closely replicated actual CT scans, demonstrated by an average Dice coefficient of 0.868 for morphological accuracy.
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