no code implementations • 5 Jul 2022 • Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex Leow, Theja Tulabandhula
Graph theoretical analyses have become standard tools in modeling functional and anatomical connectivity in the brain.
no code implementations • 6 May 2022 • Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan
Since brain networks derived from functional and structural MRI describe the brain topology from different perspectives, exploring a representation that combines these cross-modality brain networks is non-trivial.
1 code implementation • 18 Jun 2019 • Ran Xu, Manu Mathew Thomas, Alex Leow, Olusola Ajilore, Angus G. Forbes
We introduce TempoCave, a novel visualization application for analyzing dynamic brain networks, or connectomes.
Human-Computer Interaction Neurons and Cognition
no code implementations • 22 May 2019 • Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos Yarman Vural
Performance of two classification models - model 1 that ignores the sensor layout and model 2 that factors it in - is investigated and found to achieve consistently higher detection accuracy.
no code implementations • 7 Dec 2018 • Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman Vural
The problem of detecting the presence of Social Anxiety Disorder (SAD) using Electroencephalography (EEG) for classification has seen limited study and is addressed with a new approach that seeks to exploit the knowledge of EEG sensor spatial configuration.