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The chronoarchitecture of the cerebral cortex
1Wellcome Department of Imaging Neuroscience, University College London, Gower Street, London WC1E 6BT, UK. andreas.bartels@tuebingen.mpg.de
Summary
This study introduces a novel brain mapping technique using unique activity time courses (ATC) during natural viewing to identify cortical subdivisions and their connectivity. This method reveals more functional regions and their connections without prior hypotheses.
Area of Science:
- Neuroscience
- Brain Mapping
- Functional Neuroimaging
Background:
- Traditional methods for mapping cortical subdivisions rely on cytoarchitecture or functional hypotheses.
- These methods may not fully capture the brain's complex organization as it evolved under natural conditions.
Purpose of the Study:
- To introduce and validate a new approach for mapping human cerebral cortex subdivisions using unique activity time courses (ATC).
- To demonstrate that ATCs during natural conditions can segregate, map, and reveal connectivity of cortical subdivisions.
Main Methods:
- Utilized functional magnetic resonance imaging (fMRI) data from volunteers viewing stimuli, including a movie.
- Applied Independent Component Analysis (ICA) to identify distinct functional subdivisions based on differential spatio-temporal fingerprints (ATCs).
Main Results:
- Identified numerous cortical subdivisions across the whole brain, including visual areas (V1, V4, V5), based solely on differential ATCs during natural viewing.
- Demonstrated that natural viewing conditions enhance regional specificity and reveal known anatomical connectivity patterns, such as the language network.
Conclusions:
- The proposed ATC-based approach effectively maps novel functional subdivisions and their connectivity without a priori hypotheses.
- This method offers a powerful tool for understanding brain organization and function under naturalistic conditions.