ArticleNeuroImage. Clinical2018
Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 48 citations in OpenAlex.
- Effect of ketamine intervention on hemodynamic responses in patients with treatment-resistant depression.Scientific reports · 2026Article
- 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
- Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI.Cerebellum (London, England) · 2023Article
- Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- The confound of hemodynamic response function variability in human resting-state functional MRI studies.Frontiers in neuroscience · 2023Article
- Neurovascular crosstalk and cerebrovascular alterations: an underestimated therapeutic target in autism spectrum disorders.Frontiers in cellular neuroscience · 2023Review
- Characterization of Hemodynamic Alterations in Schizophrenia and Bipolar Disorder and Their Effect on Resting-State fMRI Functional Connectivity.Schizophrenia bulletin · 2022Article
- Blood Oxygen Level-Dependent Lag Patterns Differ Between Rest and Task Conditions, but Are Largely Typical in Autism.Brain connectivity · 2022Article
- autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data.Frontiers in neuroimaging · 2022Article
- Anomalous and heterogeneous characteristics of the BOLD hemodynamic response function in white matter.Cerebral cortex communications · 2022Article
- Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset.IEEE transactions on bio-medical engineering · 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
- Revisiting Nonlinear Functional Brain Co-activations: Directed, Dynamic, and Delayed.Frontiers in neuroscience · 2021Article
- Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.NeuroImage · 2020Article
- Hemodynamic responses are abnormal in isolated cervical dystonia.Journal of neuroscience research · 2020Article
- Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2020Article
- Beyond diagnosis: Cross-diagnostic features in canonical resting-state networks in children with neurodevelopmental disorders.NeuroImage. Clinical · 2020Article
- Age-variant and age-invariant features of functional brain organization in middle-aged and older autistic adults.Molecular autism · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 regions and subjects. This variability is induced by both neural and non-neural factors. Aberrations in underlying neurochemical mechanisms, which control HRF shape, have been reported in autism spectrum disorders (ASD). Therefore, we hypothesized that this will lead to voxel-specific, yet systematic differences in HRF shape between ASD and healthy controls. As a corollary, we also hypothesized that such alterations will lead to differences in estimated functional connectivity in fMRI space compared to latent neural space. To test these hypotheses, we performed blind deconvolution of resting-state fMRI time series acquired from large number of ASD and control subjects obtained from the Autism Brain Imaging Data Exchange (ABIDE) database (N = 1102). Many brain regions previously implicated in autism showed systematic differences in HRF shape in ASD. Specifically, we found that precuneus had aberrations in all HRF parameters. Consequently, we obtained precuneus-seed-based functional connectivity differences between ASD and controls using fMRI as well as using latent neural signals. We found that non-deconvolved fMRI data failed to detect group differences in connectivity between precuneus and certain brain regions that were instead observed in deconvolved data. Our results are relevant for the understanding of hemodynamic and neurochemical aberrations in ASD, as well as have methodological implications for resting-state functional connectivity studies in Autism, and more generally in disorders that are accompanied by neurochemical alterations that may impact HRF shape.
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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.