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Related Concept Videos

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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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.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Association Areas of the Cortex01:21

Association Areas of the Cortex

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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:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

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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...
5.1K
Visual System01:26

Visual System

2.4K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
2.4K
Vision01:24

Vision

61.7K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Apr 18, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

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Structural Connectivity Fingerprints Predict Cortical Selectivity for Multiple Visual Categories across Cortex.

David E Osher1, Rebecca R Saxe2, Kami Koldewyn3

  • 1McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.

Cerebral Cortex (New York, N.Y. : 1991)
|January 29, 2015
PubMed
Summary
This summary is machine-generated.

Brain connectivity precisely predicts brain function. Anatomical links between gray matter voxels forecast functional magnetic resonance imaging (fMRI) responses, revealing fine-grained neural networks and individual differences in brain organization.

Keywords:
diffusion-weighted imagingstructure–functiontractographyvisual perception

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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Human Brain Mapping

Background:

  • The relationship between brain structure and function at a fine spatial scale remains largely unknown.
  • Understanding this link is crucial for deciphering brain organization and individual variability.

Purpose of the Study:

  • To investigate if anatomical connectivity predicts functional brain responses at a fine spatial grain.
  • To identify specific anatomical connections that define neural networks for distinct visual functions.

Main Methods:

  • Utilized diffusion-weighted imaging to determine anatomical connectivity of individual gray matter voxels.
  • Employed functional magnetic resonance imaging (fMRI) to measure brain responses to visual stimuli.
  • Developed a novel approach to predict fMRI responses from anatomical connectivity data.

Main Results:

  • Anatomical connectivity alone accurately predicted fMRI responses to visual categories (faces, objects, scenes, bodies) in individual subjects.
  • This predictive power accounted for both functional specialization across the cortex and individual differences.
  • Identified specific anatomical pathways that underlie distinct functional neural networks.

Conclusions:

  • Provides strong evidence for a precise, fine-grained relationship between anatomical connectivity and brain function.
  • Suggests that early connectivity patterns may influence later functional organization.
  • Offers a method to predict brain function in individuals unable to undergo fMRI scanning.