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Updated: May 9, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
Published on: June 30, 2018
Spatial and temporal features of superordinate semantic processing studied with fMRI and EEG
Michelle E Costanzo1, Joseph J McArdle, Bruce Swett
1Language Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA ; Department of Medicine, Uniformed Services University of the Health Sciences Bethesda, MD, USA.
Superordinate semantic categorization of living vs. non-living items involves brain regions processing diverse inputs similarly. This process, reflected in late positive components (LPC), shows modality-independent neural activity.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Imaging
Background:
- The brain's representation of semantic knowledge and the timing of its processing are not fully understood.
- Superordinate semantic categorization (e.g., living vs. non-living) involves abstract feature extraction.
Purpose of the Study:
- To investigate if diverse sensory inputs (visual, auditory) converge in specific brain regions and at similar times for superordinate categorization.
- To test the hypothesis that this convergence occurs in heteromodal regions late in the categorization process.
Main Methods:
- Combined electroencephalography/event-related potentials (EEG/ERP) and functional magnetic resonance imaging (fMRI).
- Subjects performed superordinate categorization tasks on visual pictures and auditory words (living vs. non-living).
Main Results:
- fMRI confirmed activation in heteromodal parietal and temporal cortices for both stimulus types.
- EEG/ERP data revealed a late positive component (LPC) with parietal distribution and long latencies for both visual and auditory stimuli.
- Non-living categories showed more widespread spatial extent and longer latency responses compared to living categories.
Conclusions:
- Diverse semantic inputs converge in time and space within heteromodal brain regions during superordinate categorization.
- Superordinate categorization is characterized by late, modality-independent neural processing, with some category-specific differences observed.

