Machine learning studies on major brain diseases: 5-year trends of 2014–2018

K Sakai, K Yamada - Japanese journal of radiology, 2019 - Springer
Abstract In the recent 5 years (2014–2018), there has been growing interest in the use of
machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic …

The neurophysiological consequences of racism-related stressors in Black Americans

EK Webb, SE Carter, KJ Ressler, N Fani… - … & Biobehavioral Reviews, 2024 - Elsevier
Racism-related stressors, from experiences of both implicit and explicit racial discrimination
to systemic socioeconomic disadvantage, have a cumulative impact on Black Americans' …

Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity

D Rangaprakash, GR Wu, D Marinazzo… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose fMRI is the convolution of the hemodynamic response function (HRF) and
unmeasured neural activity. HRF variability (HRFv) across the brain could, in principle, alter …

Edge-centric effective connection network based on muti-modal MRI for the diagnosis of Alzheimer's disease

S Zhang, H Zhao, W Wang, Z Wang, X Luo, A Hramov… - Neurocomputing, 2023 - Elsevier
Alzheimer's disease (AD) is an irreversible neurodegenerative disease. But if AD is detected
early, it can greatly reduce the severity of the disease. Functional connection networks …

FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and …

D Rangaprakash, R Tadayonnejad… - Brain imaging and …, 2021 - Springer
The hemodynamic response function (HRF) represents the transfer function linking neural
activity with the functional MRI (fMRI) signal, modeling neurovascular coupling. Since HRF is …

A survey on brain effective connectivity network learning

J Ji, A Zou, J Liu, C Yang, X Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …

Neuroimaging correlates and predictors of response to repeated-dose intravenous ketamine in PTSD: preliminary evidence

A Norbury, SB Rutter, AB Collins, S Costi… - …, 2021 - nature.com
Promising initial data indicate that the glutamate N-methyl-D-aspartate (NMDA) receptor
antagonist ketamine may be beneficial in post-traumatic stress disorder (PTSD). Here, we …

Toward robust anxiety biomarkers: a machine learning approach in a large-scale sample

EA Boeke, AJ Holmes, EA Phelps - Biological Psychiatry: Cognitive …, 2020 - Elsevier
Background The field of psychiatry has long sought biomarkers that can objectively
diagnose patients, predict treatment response, or identify individuals at risk of illness onset …

Traumatic brain injury and posttraumatic stress disorder: comorbid consequences of war

JNI Dieter, SD Engel - Neuroscience insights, 2019 - journals.sagepub.com
Scientific literature is reviewed supporting a “consequence of war syndrome (CWS)” in
Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn soldiers. CWS …

[HTML][HTML] Aberrant hemodynamic responses in autism: implications for resting state fMRI functional connectivity studies

W Yan, D Rangaprakash, G Deshpande - NeuroImage: Clinical, 2018 - Elsevier
Functional MRI (fMRI) is modeled as a convolution of the hemodynamic response function
(HRF) and an unmeasured latent neural signal. However, HRF itself is variable across brain …