[HTML][HTML] Reconstruction of respiratory variation signals from fMRI data

JA Salas, RG Bayrak, Y Huo, C Chang - Neuroimage, 2021 - Elsevier
Functional MRI signals can be heavily influenced by systemic physiological processes in
addition to local neural activity. For example, widespread hemodynamic fluctuations across …

Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging

AM Wright, T Xu, J Ingram, J Koo, Y Zhao… - Interface …, 2024 - royalsocietypublishing.org
Functional magnetic resonance imaging (fMRI) captures rich physiological and neuronal
information, offering insight into neurofluid dynamics, vascular health and waste clearance …

An Automatic Motion-Based Artifact Reduction Algorithm for fNIRS in Concurrent Functional Magnetic Resonance Imaging Studies (AMARA–fMRI)

LM Hocke, Y Tong, BB Frederick - Algorithms, 2023 - mdpi.com
Multimodal functional near-infrared spectroscopy–functional magnetic resonance imaging
(fNIRS–fMRI) studies have been highly beneficial for both the fNIRS and fMRI field as, for …

[图书][B] Into the Multiverse: Methods for Studying Developmental Neuroscience

PA Bloom - 2022 - search.proquest.com
One major challenge in developmental neuroscience research is the sheer number of
choices researchers face when addressing even a single research question. Even once …

Towards Patient-Specific Brain Networks Using Functional Magnetic Resonance Imaging

M Hutel - 2021 - discovery.ucl.ac.uk
fMRI applications are rare in translational medicine and clinical practice. What can be
inferred from a single fMRI scan is often unreliable due to the relative low signal-to-noise …