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Related Experiment Video

Updated: May 8, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Nonlinear shift along the sensorimotor-association-axis in brain responses to task performance.

Yuqi Yuan1, Bohan Zhang2, Kyle Perkins3

  • 1Department of Psychology, The University of Hong Kong, Hong Kong, China.

Neuroimage
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

Brain activation and task performance show a non-linear relationship, particularly along the sensorimotor-association axis. This inverted U-shaped curve varies by task, revealing novel brain functional properties.

Keywords:
HCPSensorimotor-associative axisTask performanceWorking memory

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Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
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Related Experiment Videos

Last Updated: May 8, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
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Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Brain Function

Background:

  • Cognitive neuroscience often assumes a linear link between brain activation and task performance.
  • Conflicting study results suggest a potentially non-linear relationship when considering a full performance range.

Purpose of the Study:

  • To investigate the relationship between brain activation levels and working memory performance across different conditions.
  • To explore potential non-linear dynamics between neural activity and task success.

Main Methods:

  • Utilized the Human Connectome Project (HCP) dataset.
  • Analyzed brain activation (beta values) against working memory performance in face, body part, tool, and place conditions.
  • Examined relationships along the sensorimotor-association (S-A) axis.

Main Results:

  • A gradual change was observed along the S-A axis.
  • Higher-rank regions exhibited concavity (inverted U-shape) in face and body part tasks.
  • Tool and place tasks showed limited high-order region involvement; place tasks displayed convex patterns.
  • Inflection points differed between concave and convex regions relative to average performance.

Conclusions:

  • The study reveals a novel, non-linear functional property of the brain along the S-A axis in response to task demands.
  • Brain activation-performance relationships are condition-dependent and can exhibit complex, non-linear dynamics.