ArticleNeuroImage. Clinical2017
Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies.
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- Neptune: a toolbox for spinal cord functional MRI data processing and quality assurance.bioRxiv : the preprint server for biology · 2026Article
- Cardiovascular risk in childhood and young adulthood is associated with the hemodynamic response function in midlife: The Bogalusa Heart Study.NeuroImage · 2025Article
- Resting state neurophysiology of agonist-antagonist myoneural interface in persons with transtibial amputation.Scientific reports · 2024Article
- Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing.eLife · 2023Article
- Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing.bioRxiv : the preprint server for biology · 2023Article
- Cognition is entangled with metabolism: relevance for resting-state EEG-fMRI.Frontiers in human neuroscience · 2023Article
- The confound of hemodynamic response function variability in human resting-state functional MRI studies.Frontiers in neuroscience · 2023Article
- Brain effective connectivity and functional connectivity as markers of lifespan vascular exposures in middle-aged adults: The Bogalusa Heart Study.Frontiers in aging neuroscience · 2023Article
- Characterization of Hemodynamic Alterations in Schizophrenia and Bipolar Disorder and Their Effect on Resting-State fMRI Functional Connectivity.Schizophrenia bulletin · 2022Article
- Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset.IEEE transactions on bio-medical engineering · 2021Article
- Connective profiles and antagonism between dynamic and static connectivity underlying generalized epilepsy.Brain structure & function · 2021Article
- FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response.Brain imaging and behavior · 2021Article
- MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data.Data in brief · 2020Article
- Hemodynamic responses are abnormal in isolated cervical dystonia.Journal of neuroscience research · 2020Article
- Deterioration from healthy to mild cognitive impairment and Alzheimer's disease mirrored in corresponding loss of centrality in directed brain networks.Brain informatics · 2019Article
- Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma.Frontiers in neuroscience · 2019Article
- Strength and Temporal Variance of the Default Mode Network to Investigate Chronic Mild Traumatic Brain Injury in Service Members with Psychological Trauma.Journal of experimental neuroscience · 2019Article
- Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning.Frontiers in applied mathematics and statistics · 2018Article
- Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects.Data in brief · 2018Article
- Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner.Data in brief · 2018Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional MRI (fMRI) is an indirect measure of neural activity as a result of the convolution of the hemodynamic response function (HRF) and latent (unmeasured) neural activity. Recent studies have shown variability of HRF across brain regions (intra-subject spatial variability) and between subjects (inter-subject variability). Ignoring this HRF variability during data analysis could impair the reliability of such fMRI results. Using whole-brain resting-state fMRI (rs-fMRI), we employed hemodynamic deconvolution to estimate voxel-wise HRF. Studying the impact of mental disorders on HRF variability, we identified HRF aberrations in soldiers (N = 87) with posttraumatic stress disorder (PTSD) and mild-traumatic brain injury (mTBI) compared to combat controls. Certain subcortical and default-mode regions were found to have significant HRF aberrations in the clinical groups. These brain regions have been previously associated with neurochemical alterations in PTSD, which are known to impact the shape of the HRF. We followed-up these findings with seed-based functional connectivity (FC) analysis using regions-of-interest (ROIs) whose HRFs differed between the groups. We found that part of the connectivity group differences reported from traditional FC analysis (no deconvolution) were attributable to HRF variability. These findings raise the question of the degree of reliability of findings from conventional rs-fMRI studies (especially in psychiatric populations like PTSD and mTBI), which are corrupted by HRF variability. We also report and discus, for the first time, voxel-level HRF alterations in PTSD and mTBI. To the best of our knowledge, this is the first study to report evidence for the impact of HRF variability on connectivity group differences. Our work has implications for rs-fMRI connectivity studies. We encourage researchers to incorporate hemodynamic deconvolution during pre-processing to minimize the impact of HRF variability.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.