Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in
response to changes in perfusion pressure. Due to the challenges of measuring intracranial …

This study combined functional and structural magnetic resonance imaging techniques,
optimized for the human brainstem, to investigate activity in brainstem respiratory control centres …

… *GD Mitsis is with the Department of Biomedical Engineering, University of Southern California,
… [31] GD Mitsis and VZ Marmarelis, “Nonlinear modeling of physiological systems with …

In this work, we present a specific case study where we aim to design effective treatment
allocation strategies and validate these using a mouse model of skin cancer. Collecting data for …

… in healthy humans is studied using the novel methodology of the Laguerre–Volterra network
for systems with fast and slow dynamics (Mitsis, GD, and VZ Marmarelis, Ann. Biomed. Eng. …

Neuroscientific studies exploring real-world dynamic perception often overlook the influence
of continuous changes in narrative content. In our research, we utilize machine learning …

Human brain connectivity yields significant potential as a noninvasive biomarker. Several
studies have used fMRI-based connectivity fingerprinting to characterize individual patterns of …

Introduction Recent studies related to assessing functional connectivity (FC) in resting‐state
functional magnetic resonance imaging have revealed that the resulting connectivity …

Transfer function analysis (TFA) is a frequently used method to assess dynamic cerebral
autoregulation (CA) using spontaneous oscillations in blood pressure (BP) and cerebral blood …