scholarly journals The Trouble Interpreting fMRI Studies in Populations with Cerebrovascular Risk: The Use of a Subject-Specific Hemodynamic Response Function in a Study of Age, Vascular Risk, and Memory

2019 ◽  
Author(s):  
Ian M. McDonough ◽  
Andrew Bender ◽  
Lawrence Patihis ◽  
Elizabeth A. Stinson ◽  
Sarah K. Letang ◽  
...  

AbstractFunctional magnetic resonance imaging (fMRI) is commonly used to investigate the neural bases of behavior ranging from basic cognitive mechanisms to aging to psychological disorders. However, the BOLD signal captured by fMRI is an indirect measure of neural function and is affected by many factors that are non-neural in origin. These non-neural factors, however, do affect brain vasculature such as the shape and timing of the hemodynamic response function (HRF) during task-evoked fMRI that, in turn, can cause inappropriate and/or misleading interpretations of fMRI differences between groups. In this study, we tested the proposition that vascular health risks, which often go unmeasured in neuroimaging studies, and aging interact to modify the shape and/or timing of the HRF (height, time-to-peak, width), which then affect the differences in patterns of brain activity in a task-evoked memory encoding paradigm. Adult participants (aged 20–74) answered questions about their health history and underwent two fMRI tasks: viewing of a flashing checkerboard using a slow event-related design and a paired associates memory encoding task during a fast event-related design. We found that aging and vascular risk had the largest impacts on the maximum peak value of the HRF. Using a subject-specific HRF resulted in an overall dampening of the estimated brain activity in both task-positive and task-negative regions due to a reduction in the inter-individual variance of that activity. Across three vascular risk factors, using a subject-specific HRF resulted in more consistent brain regions that reached significance and larger effect sizes compared with the canonical HRF. A slight advantage in the reliability of brain-behavior correlations also was found. The findings from this study have far reaching consequences for the interpretation of task-evoked fMRI activity, especially in populations known to experience alterations to brain vasculature including adults of all ages that have higher vascular risk, the majority of older adults, and people with neurocognitive disorders in which vasculature differences may play a role including dementia.HighlightsOlder age was associated with smaller maximum peak of the hemodynamic response.Younger and middle-aged adults with more vascular risk had higher HRF peaks.Using a subject-specific HRF resulted in a “dampening” of brain activity.A subject-specific HRF resulted in more consistent aging and vascular risk effects.

NeuroImage ◽  
2014 ◽  
Vol 93 ◽  
pp. 59-73 ◽  
Author(s):  
Sébastien Proulx ◽  
Mouna Safi-Harb ◽  
Pierre LeVan ◽  
Dongmei An ◽  
Satsuki Watanabe ◽  
...  

2017 ◽  
Author(s):  
Josef Wilzén ◽  
Anders Eklund ◽  
Mattias Villani

AbstractInference from fMRI data faces the challenge that the hemodynamic system, that relates the underlying neural activity to the observed BOLD fMRI signal, is not known. We propose a new Bayesian model for task fMRI data with the following features: (i) joint estimation of brain activity and the underlying hemodynamics, (ii) the hemodynamics is modeled nonparametrically with a Gaussian process (GP) prior guided by physiological information and (iii) the predicted BOLD is not necessarily generated by a linear time-invariant (LTI) system. We place a GP prior directly on the predicted BOLD time series, rather than on the hemodynamic response function as in previous literature. This allows us to incorporate physiological information via the GP prior mean in a flexible way. The prior mean function may be generated from a standard LTI system, based on a canonical hemodynamic response function, or a more elaborate physiological model such as the Balloon model. This gives us the nonparametric flexibility of the GP, but allows the posterior to fall back on the physiologically based prior when the data are weak. Results on simulated data show that even with an erroneous prior for the GP, the proposed model is still able to discriminate between active and non-active voxels in a satisfactory way. The proposed model is also applied to real fMRI data, where our Gaussian process model in several cases finds brain activity where previously proposed LTI models, parametric and nonparametric, does not.


2018 ◽  
Vol 115 (43) ◽  
pp. E10206-E10215 ◽  
Author(s):  
Immanuel G. Elbau ◽  
Benedikt Brücklmeier ◽  
Manfred Uhr ◽  
Janine Arloth ◽  
Darina Czamara ◽  
...  

Ample evidence links dysregulation of the stress response to the risk for psychiatric disorders. However, we lack an integrated understanding of mechanisms that are adaptive during the acute stress response but potentially pathogenic when dysregulated. One mechanistic link emerging from rodent studies is the interaction between stress effectors and neurovascular coupling, a process that adjusts cerebral blood flow according to local metabolic demands. Here, using task-related fMRI, we show that acute psychosocial stress rapidly impacts the peak latency of the hemodynamic response function (HRF-PL) in temporal, insular, and prefrontal regions in two independent cohorts of healthy humans. These latency effects occurred in the absence of amplitude effects and were moderated by regulatory genetic variants of KCNJ2, a known mediator of the effect of stress on vascular responsivity. Further, hippocampal HRF-PL correlated with both cortisol response and genetic variants that influence the transcriptional response to stress hormones and are associated with risk for major depression. We conclude that acute stress modulates hemodynamic response properties as part of the physiological stress response and suggest that HRF indices could serve as endophenotype of stress-related disorders.


2021 ◽  
Author(s):  
Michele Lacerenza ◽  
Mauro Buttafava ◽  
Lorenzo Spinelli ◽  
Alberto Tosi ◽  
Alberto Dalla Mora ◽  
...  

2021 ◽  
Vol 125 (4) ◽  
pp. 1045-1057 ◽  
Author(s):  
Natasha de la Rosa ◽  
David Ress ◽  
Amanda J. Taylor ◽  
Jung Hwan Kim

We investigate dynamics of the negative hemodynamic response function (nHRF), the negative blood-oxygen-level-dependent (BOLD) response (NBR) evoked by a brief stimulus, in human early visual cortex. Here, we show that the nHRFs are not inverted versions of the corresponding pHRFs. The nHRF has complex dynamics that varied significantly with eccentricity. The results also show shift-invariant temporal linearity does not hold for the NBR.


NeuroImage ◽  
2020 ◽  
Vol 208 ◽  
pp. 116446 ◽  
Author(s):  
Henriette Lambers ◽  
Martin Segeroth ◽  
Franziska Albers ◽  
Lydia Wachsmuth ◽  
Timo Mauritz van Alst ◽  
...  

2019 ◽  
Vol 13 ◽  
Author(s):  
Shin-Lei Peng ◽  
Chun-Ming Chen ◽  
Chen-You Huang ◽  
Cheng-Ting Shih ◽  
Chiun-Wei Huang ◽  
...  

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