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Related Experiment Video

Updated: Feb 4, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Brain functional and effective connectivity underlying the information processing speed assessed by the Symbol Digit

P H R Silva1, C T Spedo2, C R Baldassarini2

  • 1Dept. of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, SP, Brazil.

Neuroimage
|October 8, 2018
PubMed
Summary
This summary is machine-generated.

Information Processing Speed (IPS) involves frontoparietal and temporoparietal brain networks. Understanding these networks aids in developing rehabilitation for attention deficits and cognitive impairments.

Keywords:
Dynamic causal modelingEffective connectivityFunctional connectivityInformation processing speed

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Delayed Information Processing Speed (IPS) is a key cognitive deficit in various neurological and psychiatric conditions, including traumatic brain injury, Parkinson's disease, depression, dementia, and multiple sclerosis.
  • Understanding the neural underpinnings of IPS is crucial for developing targeted interventions and rehabilitation strategies.

Purpose of the Study:

  • To elucidate the brain network responsible for Information Processing Speed (IPS) in healthy individuals.
  • To model the functional and effective connectivity underlying IPS using neuroimaging techniques.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) on 16 healthy volunteers performing an adapted Symbol Digit Modalities Test.
  • Employed dynamic causal modeling (DCM) to analyze brain functional and effective connectivity during the IPS task.

Main Results:

  • Identified two interacting brain systems crucial for IPS: frontoparietal/fronto-occipital networks (goal-directed selection) and temporoparietal/inferior frontal cortices (stimulus-driven attention).
  • Observed a significant correlation between the default-mode network and task-positive networks involved in visual processing, highlighting its role in functional integration for IPS.

Conclusions:

  • Proposed a novel brain network model for Information Processing Speed (IPS) in healthy subjects.
  • The methodology offers a framework for future research on IPS in clinical populations and longitudinal studies.