Vince Calhoun — Endo Lab

2025

CNN and LSTM Models for fMRI-based Schizophrenia Classification Using c-ICA of dFNC

·doi:10.1101/2025.02.27.25322899

ABSTRACT Resting-state fMRI (rs-fMRI) captures brain activity at rest, it demonstrates information on how different regions interact without explicity task-based influences. This provides insights into both healthy and disordered brain stat…

2023

Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage Data*

·doi:10.1101/2023.05.29.542700

As the field of deep learning has grown in recent years, its application to the domain of raw resting-state electroencephalography (EEG) has also increased. Relative to traditional machine learning methods or deep learning methods applied t…

2023

Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures.

Pain ·doi:10.1097/j.pain.0000000000002938

AbstractChronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could p…

2016

White matter microstructure alterations in primary dysmenorrhea assessed by diffusion tensor imaging.

Scientific reports ·doi:10.1038/srep25836

Primary dysmenorrhea (PDM), a significant public health problem for adolescents and young women, is characterized by painful menstrual cramps. Recent neuroimaging studies have revealed that brain functional and structural abnormalities are …