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Related Concept Videos

Somatosensory, Motor, and Association Cortex01:24

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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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Somatosensation01:33

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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Cortical Stimulation Induces Network-Wide Coherence Change In Non-Human Primate Somatosensory Cortex.

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    Cortical stimulation can change brain region connectivity. This study in non-human primates found that stimulation timing, brain state, and location significantly impact cortical coherence, offering insights into targeted neuroplasticity.

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    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Systems Neuroscience

    Background:

    • Cortical stimulation's ability to modulate brain connectivity is known.
    • In-vitro studies show targeted neuroplasticity, but in-vivo models yield inconsistent results.
    • Understanding in-vivo cortical stimulation effects is crucial for therapeutic applications.

    Purpose of the Study:

    • To characterize how varying stimulation protocols affect cortical coherence in non-human primates in-vivo.
    • To identify key factors influencing the modulation of cortical connectivity.
    • To explore predictive features within resting-state networks for stimulation-induced changes.

    Main Methods:

    • In-vivo electrophysiological recordings in non-human primate cortex.
    • Application of diverse cortical stimulation protocols.
    • Analysis of changes in cortical coherence and functional connectivity.
    • Investigation of resting-state network properties.

    Main Results:

    • Cortical coherence modulation is significantly influenced by stimulation latency, cortical state, and stimulation site.
    • Specific stimulation parameters can reliably alter functional connectivity.
    • Features of resting-state networks can predict the direction and magnitude of stimulation-induced plasticity.

    Conclusions:

    • Stimulation parameters critically determine the outcome of cortical modulation in-vivo.
    • Targeted neuroplasticity in-vivo is achievable by optimizing stimulation protocols.
    • Resting-state network analysis may guide personalized neuromodulation strategies.