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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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Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
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Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Intentional signal in prefrontal cortex generalizes across different sensory modalities.

Kyuwan Choi1, Elizabeth B Torres2

  • 1Psychology Department, Rutgers University, Piscataway, New Jersey; Center for Computational Biomedicine Imaging and Modeling, Computer Science Department, Rutgers University, Piscataway, New Jersey; and Rutgers Center for Cognitive Science, Rutgers University, Piscataway, New Jersey ebtorres@rci.rutgers.edu.

Journal of Neurophysiology
|November 22, 2013
PubMed
Summary

This study used brain-computer interfaces (BCI) to automatically identify brain regions controlling external devices. Researchers found the prefrontal cortex, specifically areas 9, 10, and 11, was automatically recruited for task performance.

Keywords:
brain computer interfacecoadaptationintentional controlprefrontal cortexvolitional control

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain-Computer Interfaces

Background:

  • Biofeedback-EEG training aids understanding of brain control over external devices.
  • Current methods often pre-select brain areas, limiting discovery of emergent activations.
  • Exploring amodal, abstract signals across sensory modalities remains underexplored.

Purpose of the Study:

  • To automatically uncover brain regional activity maximizing performance in a binary control task.
  • To investigate the automatic recruitment of brain areas beyond pre-selected regions.
  • To explore the prefrontal cortex's role in externally driven intention.

Main Methods:

  • Developed a binary control task within a brain-computer interface (BCI) framework.
  • Employed a Bayesian sparse probit classification algorithm for automatic activity detection.
  • Trained and tested 19 participants using visual feedback.

Main Results:

  • Quantified frontoparietal coupling and visual/auditory region involvement based on real-time feedback.
  • Identified automatic recruitment of the prefrontal cortex during the testing phase.
  • Observed significantly higher activation in Brodmann's areas 9, 10, and 11 compared to other brain regions.

Conclusions:

  • The prefrontal cortex, particularly areas 9, 10, and 11, shows automatic recruitment in BCI tasks.
  • This prefrontal signal may serve as a neural correlate for externally driven intention.
  • Results contribute to understanding cognitive control and brain activity modulation.