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Related Concept Videos

Information Processing Approach01:30

Information Processing Approach

244
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
244
Parallel Processing01:20

Parallel Processing

397
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...
397

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Related Experiment Video

Updated: Oct 30, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Digital Technology Differentiates Graphomotor and Information Processing Speed Patterns of Behavior.

Stacy L Andersen1, Benjamin Sweigart2, Nancy W Glynn3

  • 1Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Journal of Alzheimer'S Disease : JAD
|July 5, 2021
PubMed
Summary
This summary is machine-generated.

Digital technology enhances neuropsychological testing, revealing distinct graphomotor and cognitive patterns. These digital biomarkers may signal early dysfunction, aiding timely assessments and interventions for brain health.

Keywords:
Agingbayesian approachboston process approachdigit symbol substitution testexecutive functiongraphomotor performanceneuropsychological tests

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Digital Health

Background:

  • Digital technology integration with neuropsychological tests offers high-precision metrics.
  • These metrics can clarify and define constructs related to brain and cognition.

Purpose of the Study:

  • To identify graphomotor and information processing trajectories.
  • Utilized a digitally administered Digit Symbol Substitution Test (DSST).

Main Methods:

  • Analyzed DSST data from 1,594 Long Life Family Study participants.
  • Divided symbol drawing time into 'writing' and 'thinking' components.
  • Employed Bayesian clustering to identify performance trajectories based on time changes.

Main Results:

  • Identified four 'thinking' time trajectories, with two linked to lower episodic memory scores.
  • Discovered four 'writing' time trajectories, one showing progressive slowing associated with physical function decline.
  • Digital analysis revealed previously unrecognized performance patterns.

Conclusions:

  • Digitally derived performance patterns are differentially associated with cognitive and physical function.
  • These patterns may serve as neurocognitive biomarkers for subtle dysfunction.
  • Findings can inform neuropsychological assessment timing and intervention targeting.