However, this area remains largely unexplored. This work proposes an Invariant Subgraph GNN (IS-GNN) to learn general brain network representations for classifying various brain disorders in ...

Common Brain Network Detected Among Veterans With Traumatic Brain Injury Could Protect Against PTSD Sep. 24, 2024 — Researchers analyzed 193 patients from the Vietnam Head Injury Study with ...

Researchers at the University of Chicago have developed a brain network model that can predict ... "We used three functional magnetic resonance imaging (fMRI) datasets collected and shared by ...

While functional brain networks show variations ... impact the regions of the network, highlighting the importance of selecting an appropriate threshold. This is in line with the analysis performed in ...

We propose a connectivity-based graph convolution network (cGCN) architecture for fMRI analysis. fMRI data are represented as the k-nearest neighbors graph based on the group functional connectivity, ...

is one of the best techniques for precise localization of abnormal brain activity non-invasively. Machine-learning approaches have been widely used in neuroimaging studies; however, few studies have ...

The hit show Severance can be refashioned as a teaching moment about certain brain disorders. But its famed “Innie” versus “Outie” conceit is totally bogus Margarethe Hilferding was the ...

Major types of brain imaging techniques used today include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and emission computed tomography. Each presents a different ...

However, the ... Brain Cells Remain Healthy After a Month on the International Space Station, but Mature Faster Than Brain Cells on Earth Dec. 17, 2024 — Microgravity is known to alter the ...

As the biological seat of mental life, the brain is center stage in the investigation of what causes and characterizes mental disorders. The roots of the various conditions defined by the medical ...