Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics
Year: 2021
Type: article
Abstract: Recent studies have demonstrated that fast fMRI can track neural activity well above the temporal limit predicted by the canonical hemodynamic response model. While these findings are promising, the biophysical mechanisms underlying these fast fMRI phenomena remain underexplored. In this study, we discuss two aspects of the hemodynamic response, complementary to several existing hypotheses, that can accommodate faster fMRI dynamics beyond those predicted by the canonical model. First, we demonstrate, using both visual and somatosensory paradigms, that the timing and shape of hemodynamic response functions (HRFs) vary across graded levels of stimulus intensity-with lower-intensity stimulation eliciting faster and narrower HRFs. Second, we show that as the spatial resolution of fMRI increases, voxel-wise HRFs begin to deviate from the canonical model, with a considerable portion of voxels exhibiting faster temporal dynamics than predicted by the canonical HRF. Collectively, both stimulus/task intensity and image resolution can affect the sensitivity of fMRI to fast brain activity, which may partly explain recent observations of fast fMRI signals. It is further noteworthy that, while the present investigations focus on fast neural responses, our findings suggest that a revised hemodynamic model may benefit the many fMRI studies using paradigms with wide ranges of contrast levels (e.g., resting or naturalistic conditions) or with modern, high-resolution MR acquisitions.
Source: NeuroImage
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,300
Funders: Centre d'Imagerie BioMédicale, National Institutes of Health, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources
Awards: G1006224846, G1360098495, G1960588227, Resting state connectivity: Biophysical basis for and improved fMRI measurements, Geodesic EEG System, G393103480, Center for Advanced Magnetic Resonance Technology at Stanford, Imaging neural dynamics at high temporal resolution in sleep and sleep deprivation, G4906623738, fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution, Improving Human fMRI through Modeling and Imaging Microvascular Dynamics, 7T Translational MRI System, Center for Functional Imaging Technologies, Neurovascular dynamics supporting fast and high resolution functional MR imaging, Probing the biophysical basis of large-scale brain dynamics using simultaneous PET/fMRI and EEG/PET/fMRI, G9000112150, G9000200654, Local Neuronal Drive and Neuromodulatory Control of Activity in the Pial Neurovascular Circuit, Probing the Biophysical Basis of Large-Scale Brain Dynamics Using Simultaneous PET/fMRI and EEG/PET/fMRI, Silicon Graphics Prism Extreme 128P/1TB
OpenAlex ID: W3205880361
