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Related Concept Videos

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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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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Visual Agnosia01:12

Visual Agnosia

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Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
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Parallel Processing01:20

Parallel Processing

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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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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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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:
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Related Experiment Video

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Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
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Brain network mechanisms of visual shape completion.

Brian P Keane1, Deanna M Barch2, Ravi D Mill3

  • 1University Behavioral Health Care, Department of Psychiatry, and Center for Cognitive Science, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Departments of Psychiatry and Neuroscience, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642, USA.

Neuroimage
|April 20, 2021
PubMed
Summary
This summary is machine-generated.

Visual shape completion involves a widespread brain network. This network, centered in the secondary visual network and coordinated by the dorsal attention network, uses resting-state connections to integrate visual information for object perception.

Keywords:
Area PHDorsal attention networkFrontoparietal networkKanizsa shapesResting-state functional connectivitySecondary visual networkSubjective contours

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Visual shape completion, the perception of whole objects from incomplete visual cues, is a fundamental cognitive process.
  • The specific brain regions, networks, and functional connections supporting shape completion remain incompletely understood.

Purpose of the Study:

  • To investigate the neural underpinnings of visual shape completion using functional magnetic resonance imaging (fMRI).
  • To identify brain regions, functional networks, and resting-state connections involved in processing completed versus fragmented shapes.

Main Methods:

  • fMRI scans of healthy adults during rest and a shape discrimination task (illusory vs. fragmented shapes).
  • Analysis of task-activation differences, resting-state functional connectivity, and multivariate patterns on the cortical surface.
  • Brain Activity Flow Mapping (ActFlow) to assess the role of resting-state connections in shape completion.

Main Results:

  • 36 differentially active parcels were identified, including a consistent posterior temporal region (PH).
  • Task-related activity was prominent in the secondary visual network, frontoparietal network, dorsal attention network, default mode network, and cingulo-opercular network.
  • Resting-state connections significantly predicted task activation differences (r=.62, p<10^-9), with dorsal attention network connections being crucial for the secondary visual network.

Conclusions:

  • Visual shape completion relies on a sparsely distributed yet densely interconnected coalition of brain networks.
  • This network is primarily centered in the secondary visual network and coordinated by the dorsal attention network.
  • The findings highlight the importance of intrinsic functional connectivity in supporting complex visual perception tasks.