Resting state fMRI-based brain information flow mapping
Human brain is a massive information generation and processing machine. Studying the information flow may provide unique insight into brain function and brain diseases. We present here a tool for mapping the regional information flow in the entire brain using fMRI. Using the tool, we can estimate the information flow from a single region to the rest of the brain, between different regions, between different days, or between different individuals' brain.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Functional Parcellation of fMRI data using multistage k-means clustering
Purpose: Functional Magnetic Resonance Imaging (fMRI) data acquired through resting-state studies have been used to obtain information about the spontaneous activations inside the brain. One of the approaches for analysi…
ClusteringBrain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks
Brain age prediction based on neuroimaging data could help characterize both the typical brain development and neuropsychiatric disorders. Pattern recognition models built upon functional connectivity (FC) measures deriv…
Deep LearningFunctional ConnectivityPredictionAutomatic artifact removal of resting-state fMRI with Deep Neural Networks
Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique for studying brain activity. During an fMRI session, the subject executes a set of tasks (task-related fMRI study) or no tasks (resting-state fMRI)…
DenoisingSpecificityBOLDSimNet: Examining Brain Network Similarity between Task and Resting-State fMRI
Traditional causal connectivity methods in task-based and resting-state functional magnetic resonance imaging (fMRI) face challenges in accurately capturing directed information flow due to their sensitivity to noise and…
Initial validation for the estimation of resting-state fMRI effective connectivity by a generalization of the correlation approach
Resting-state functional MRI (rs-fMRI) is widely used to noninvasively study human brain networks. Network functional connectivity is often estimated by calculating the timeseries correlation between blood-oxygen-level d…
Functional ConnectivityPrediction