SciTeX Publications
Discover how researchers worldwide are using SciTeX to advance science
gPAC: GPU-Accelerated Phase-Amplitude Coupling Analysis for Large-Scale Neural Data Featured
Journal of Neural Engineering (in submission), 2024
We present gPAC, a GPU-accelerated framework for phase-amplitude coupling analysis in large-scale neural data. This work demonstrates the complete SciTeX ecosystem: data analysis with SciTeX-Engine, code management with SciTeX-Code, visualization generation with SciTeX-Viz, and manuscript preparation with SciTeX-Writer. The integration enabled efficient processing of high-density electrocorticography data and streamlined the publication workflow.
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study
Neural Networks, 2024; 171: 242-250
Dementia and mild cognitive impairment (MCI) represent significant health challenges in an aging population. This study evaluates the generalizability of a deep convolutional neural network (DCNN) trained on EEG data from a single hospital. The DCNN achieved balanced accuracies of 0.927, 0.805, and 0.920 across three hospitals in classifying individuals as healthy or as having AD, DLB, or iNPH. The model could also differentiate between dementia types and identify MCI pathologies with balanced accuracy of 0.715, suggesting shared EEG signatures between MCI and dementia. The research pipeline was implemented using SciTeX-Code for machine learning development and SciTeX-Viz for publication-ready visualizations.
Towards threshold invariance in defining hippocampal ripples
Journal of Neural Engineering, 2021; 18(6): 066012
This methodological study addresses the challenge of threshold-dependent detection of hippocampal ripples in neural recordings. The research employed SciTeX-Code for implementing novel detection algorithms and statistical analysis, along with SciTeX-Viz for generating publication-quality figures showing ripple detection accuracy across different threshold parameters.
Hippocampal Neural Fluctuations Between Memory Encoding and Retrieval States During a Working Memory Task in Humans
bioRxiv (preprint), 2024
We investigated hippocampal neural dynamics during working memory tasks in humans using intracranial recordings. This study utilized SciTeX-Code for data analysis pipelines, SciTeX-Viz for neural signal visualization and publication-ready figures, and SciTeX-Writer for manuscript preparation. The research demonstrates distinct neural fluctuation patterns between memory encoding and retrieval states in the human hippocampus.
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Dementia Classification
Dementia subtype classification based on EEG data
eeg-dementia-classificationHippocampal Ripples
Hippocampal sharp-wave ripples detection using CNN
ripple_detector_CNN threshold-invariance