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Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci
- Source :
- IEEE Trans Biomed Eng, IEEE transactions on bio-medical engineering, vol 66, iss 5
- Publication Year :
- 2018
-
Abstract
- It is largely unknown whether there is functional role difference between cortical gyral and sulcal regions. Recent advancements in neuroimaging studies demonstrate clear difference of structural connection profiles in gyral and sulcal areas, suggesting possible functional role difference in these convex and concave cortical regions. To explore and confirm such possible functional difference, we design and apply a powerful deep learning model of convolutional neural networks (CNN) that has been proven to be superior in learning discriminative and meaningful patterns on fMRI. By using the CNN model, gyral and sulcal fMRI signals are learned and predicted, and the prediction performance is adopted to demonstrate the functional difference between gyri and sulci. By using the Human Connectome Project (HCP) fMRI data and macaque brain fMRI data, an average of 83% and 90% classification accuracy has been achieved to separate gyral/sulcal HCP task fMRI signals at the population and individual subject level, respectively; 81% and 86% classification accuracy for resting state fMRI signals at the group and individual subject level, respectively. In addition, 78% classification accuracy has been achieved to separate gyral/sulcal resting state fMRI signals in macaque brains. Importantly, further analysis reveals that the discriminative features that are learned by CNNs to differentiate gyral/sulcal fMRI signals can be meaningfully interpreted, thus unveiling the fundamental functional difference between cortical gyri and sulci. That is, gyri are more global functional integration centers with simpler lower frequency signal components, while sulci are more local processing units with more complex higher frequency signal components.
- Subjects :
- Male
Computer science
convolutional neural network
02 engineering and technology
Convolutional neural network
Computer-Assisted
Discriminative model
cortical sulci
Cerebral Cortex
education.field_of_study
Human Connectome Project
Functional integration (neurobiology)
medicine.diagnostic_test
Signal Processing, Computer-Assisted
Middle Aged
Magnetic Resonance Imaging
classification
Neurological
Female
Cortical gyri
Algorithms
Adult
Artificial Intelligence and Image Processing
0206 medical engineering
Population
Biomedical Engineering
Article
brain function
Young Adult
Deep Learning
Neuroimaging
Clinical Research
medicine
Connectome
Animals
Humans
Electrical and Electronic Engineering
education
Resting state fMRI
business.industry
Neurosciences
Pattern recognition
020601 biomedical engineering
Signal Processing
Macaca
Artificial intelligence
Functional magnetic resonance imaging
business
Diffusion MRI
Subjects
Details
- ISSN :
- 15582531
- Volume :
- 66
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on bio-medical engineering
- Accession number :
- edsair.doi.dedup.....b63edb64028bf35bf95c38f7462f3b71