Brain Connectivity
Brain connectivity research focuses on understanding the complex relationships between different brain regions, aiming to decipher how these interactions contribute to brain function and dysfunction. Current research utilizes diverse neuroimaging modalities (fMRI, EEG, DTI, sMRI) and advanced analytical techniques, including graph neural networks, graph transformers, and persistent homology, to analyze both structural and functional connectivity patterns. These analyses are increasingly incorporating multimodal data and focusing on identifying influential nodes, characterizing network topology, and disentangling causal relationships between brain regions. This work holds significant implications for diagnosing and understanding neurological and psychiatric disorders, potentially leading to improved diagnostic tools and treatment strategies.
Papers
Parsing altered brain connectivity in neurodevelopmental disorders by integrating graph-based normative modeling and deep generative networks
Rui Sherry Shen, Yusuf Osmanlıoğlu, Drew Parker, Darien Aunapu, Benjamin E. Yerys, Birkan Tunç, Ragini Verma
Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks
Oktay Agcaoglu, Rogers F. Silva, Deniz Alacam, Sergey Plis, Tulay Adali, Vince Calhoun (for the Alzheimers Disease Neuroimaging Initiative)