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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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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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Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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Visual System01:26

Visual System

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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...
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Vision01:24

Vision

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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 12, 2026

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

Published on: November 8, 2012

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Structural and effective connectivity reveals potential network-based influences on category-sensitive visual areas.

Nicholas Furl1

  • 1MRC Cognition and Brain Sciences Unit Cambridge, UK ; Department of Psychology, Royal Holloway, University of London Egham, UK.

Frontiers in Human Neuroscience
|May 23, 2015
PubMed
Summary

Brain networks, not just modules, influence visual category perception. Network properties, like long-range fiber bundles, impact how we recognize objects and process visual information.

Keywords:
diffusion tensor imagingdynamic causal modellingeffective connectivityface perceptionfunctional integrationfusiform face arealateral occipital complexvisual cortex

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Visual category perception traditionally relies on specialized, modular brain areas processing feedforward input.
  • Emerging network-oriented views consider brain areas as interconnected elements influenced by network properties.

Purpose of the Study:

  • To explore how network properties, including structural and effective connectivity, predict category-sensitive brain activity.
  • To investigate the role of large fiber bundles and backward influences in visual perception.

Main Methods:

  • Utilizing diffusion tensor imaging (DTI) to map structural brain connections.
  • Employing effective connectivity analyses to understand functional interactions between brain areas.
  • Examining the relationship between network properties and category-sensitive responses within the visual cortex.

Main Results:

  • Large, long-range fiber tracts (e.g., inferior fronto-occipital fasciculus) are linked to recognition and may mediate top-down influences.
  • Category-sensitive areas within the visual cortex exhibit interconnectedness, with backward modulation influencing responses.
  • Network properties can predict category-sensitive activity, suggesting a role beyond modular processing.

Conclusions:

  • Visual category perception is shaped by complex brain network interactions, not solely by isolated modules.
  • Backward influences mediated by large fiber bundles are crucial for top-down visual processing, including search and emotional modulation.
  • Further integration of diffusion tensor imaging and functional imaging is needed to fully elucidate these network-based mechanisms.