Control energy detects discrepancies in good vs. poor readers' structural-functional coupling during a rhyming task
Chenglin Lou1, Marc F Joanisse2
1Department of Special Education, Peabody College of Education, Vanderbilt University, Nashville, TN, USA; Department of Psychology, The University of Western Ontario, London, Canada; Brain and Mind Institute, The University of Western Ontario, London, Canada.
Neuroimage
|November 19, 2024
Summary
Network control theory explains reading ability by analyzing brain dynamics and white matter structure in children. This approach reveals how brain network control energy relates to reading demands.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Computational Neuroscience
Background:
- Neuroimaging reveals brain circuits for reading, but the link between functional dynamics and white matter structure is unclear.
- Network control theory models brain dynamics as determined by white matter connectome, using control energy to assess cognitive state transitions.
Purpose of the Study:
- To apply network control theory to understand how brain dynamics and white matter structure relate to reading ability and disability in children.
- To investigate the control energy of reading networks during a rhyming task with varying orthographic and phonological demands.
Main Methods:
- Utilized neuroimaging (fMRI, white matter structure) in 51 children (ages 8.25-14.6) performing a visual and auditory rhyming task.
- Computed control energy of the reading network using white matter connectome and fMRI activation data.
- Analyzed differences in control energy across trial types (word vs. non-word, congruent vs. incongruent) and within specific brain regions (left fusiform, superior temporal gyrus).
Main Results:
- Higher control energy was observed during non-word trials compared to word trials, and during incongruent trials versus congruent trials.
- Region of Interest (ROI) analyses revealed modality-specific control energy differences: higher in the left fusiform for visual stimuli and in the superior temporal gyrus for auditory stimuli.
- Control theory successfully explained variations in cognitive demands for reading.
Conclusions:
- Network control theory provides a framework for linking brain structure and function to cognitive abilities like reading.
- This approach offers insights into reading ability and disability by quantifying the control energy required for reading network dynamics.
- Integrating functional and structural MRI with control theory advances our understanding beyond individual measures alone.
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