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Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Brain noise is task dependent and region specific.

Bratislav Misić1, Travis Mills, Margot J Taylor

  • 1Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada. bratislav.misic@utoronto.ca

Journal of Neurophysiology
|September 17, 2010
PubMed
Summary
This summary is machine-generated.

Neural activity becomes more variable during brain development, with task demands influencing this noise, particularly in specific brain regions like the fusiform gyrus during face recognition.

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Cognitive Neuroscience

Background:

  • Human brain development involves organizing connections to integrate information globally.
  • Increased information processing capacity in development leads to neural activity variability (noise).
  • Functional networks and regional embedding depend on development and task engagement.

Purpose of the Study:

  • To investigate how neural activity noise varies with task context and brain region.
  • To examine developmental changes in neural variability during face recognition.
  • To understand the role of neural noise in functional integration modulated by cognitive tasks.

Main Methods:

  • Participants (children 6-16 yrs, adults 20-41 yrs) performed a one-back face recognition task.
  • Magnetoencephalography (MEG) data were analyzed using beamforming to estimate neural activity.
  • Variability of neuromagnetic activity was assessed across hundreds of brain sources.

Main Results:

  • Neural activity became more variable across the brain during development, especially in medial parietal regions (precuneus, posterior cingulate cortex).
  • Upright faces elicited more variable and noisy activity than inverted faces in both children and adults.
  • This face-specific noise effect was reliably observed in the right fusiform gyrus.

Conclusions:

  • Neural noise is sensitive to task context and is region-specific, changing with development.
  • Upright face recognition involves complex neural computations reflected in increased neural variability.
  • Transient changes in functional integration, driven by task demands, are evident in regional neural activity variability.