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Related Concept Videos

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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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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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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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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The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
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Related Experiment Video

Updated: Oct 22, 2025

A Computer-assisted Multi-electrode Patch-clamp System
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Rare long-range cortical connections enhance human information processing.

Gustavo Deco1, Yonathan Sanz Perl2, Peter Vuust3

  • 1Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona 08010, Spain; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany; School of Psychological Sciences, Monash University, Melbourne, Clayton, VIC 3800, Australia.

Current Biology : CB
|August 26, 2021
PubMed
Summary
This summary is machine-generated.

Long-range connections in the brain

Keywords:
diffusion MRIfunctional MRIlong-range exceptionsturbulencewhole-brain modeling

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • The mammalian cortex exhibits an exponential distance rule for connectivity.
  • This rule includes rare, high-weight, long-range anatomical exceptions.
  • Understanding these exceptions' role in cortical function is crucial.

Purpose of the Study:

  • To investigate the functional consequences of long-range exceptions in cortical connectivity.
  • To determine if these exceptions are critical for efficient information processing.
  • To explore the interplay between long-range exceptions and turbulent dynamics.

Main Methods:

  • Whole-brain modeling using large-scale human neuroimaging data (1,003 participants).
  • Comparison of two models: one with and one without long-range exceptions.
  • Analysis of information processing efficiency under different connectivity rules.

Main Results:

  • Rare long-range exceptions significantly improve information processing.
  • The benefits of long-range exceptions are enhanced by turbulent network regimes.
  • Empirical neuroimaging data supports the functional importance of these exceptions.

Conclusions:

  • Long-range exceptions are functionally vital for efficient cortical information processing.
  • The combination of long-range exceptions and turbulence optimizes brain function.
  • This finding provides strong evidence for the benefits of complex network structures.