scholarly journals Improved 7 Tesla resting-state fMRI connectivity measurements by cluster-based modeling of respiratory volume and heart rate effects

NeuroImage ◽  
2017 ◽  
Vol 153 ◽  
pp. 262-272 ◽  
Author(s):  
Joana Pinto ◽  
Sandro Nunes ◽  
Marta Bianciardi ◽  
Afonso Dias ◽  
L. Miguel Silveira ◽  
...  
Keyword(s):  
Heart Rate ◽  
Resting State ◽  
Resting State Fmri ◽  
7 Tesla ◽  
Respiratory Volume ◽  
Rate Effects

scholarly journals A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Krzysztof J Gorgolewski ◽  
Natacha Mendes ◽  
Domenica Wilfling ◽  
Elisabeth Wladimirow ◽  
Claudine J Gauthier ◽  
...  
Keyword(s):  
High Resolution ◽  
Resting State ◽  
Resting State Fmri ◽  
7 Tesla ◽  
Physiological Measures

Heart rate variability interacts with recovery of resting-state connectivity in amygdala circuitry and the persistence of symptoms after sport-related concussion

Neurology ◽  
2020 ◽  
Vol 95 (20 Supplement 1) ◽  
pp. S15.2-S16
Author(s):  
Kevin Bickart ◽  
Christopher Andrew Sheridan ◽  
Corey M. Thibeault ◽  
Robert Hamilton ◽  
James LeVangie ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Resting State ◽  
Autonomic Function ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Network Recovery ◽  
Symptom Persistence ◽  
Resting State Connectivity ◽  
Over Time

ObjectiveWe investigated longitudinal trajectories of resting-state fMRI (rsfMRI), autonomic function, and graded symptoms after sport-related concussion (SRC).BackgroundLimbic circuitry may be particularly vulnerable to traumatic brain injury, which could explain the affective and autonomic dysfunction that some patients develop. Relatively few studies have performed longitudinal rsfMRI analyses in concussion and fewer have combined imaging with autonomic and symptom data. We leveraged published limbic rsfMRI networks centered on the amygdala that include core affective and autonomic structures to test whether athletes with SRC would have altered connectivity, and that network recovery would be related to measures of autonomic function and symptom persistence.Design/MethodsWe compared rsfMRI connectivity of amygdala networks in college athletes with SRC (N = 31, female = 14) at three time points after concussion (T1 = 4 days, T2 = 10–14 days, T3 = 2–3 months) and matched controls with no concussion (in-sport control [ISC] N = 36, female = 17).ResultsSRCs show greater amygdala network connectivity as compared to ISCs (T1 p = 0.003, T2 p = 0.014) that normalizes over time (T3 p = 0.182). However, SRCs with higher versus lower heart rate variability (HRV), as measured by pNN50 at T1, have opposing trajectories of connectivity. That is, SRCs with higher HRV have connectivity that starts high and normalizes over time (T1 p = 0.001, T2 p = 0.055, T3 p = 0.576) whereas SRCs with lower HRV have connectivity that increases over time (T1 p = 0.429, T2 p = 0.050, T3 p = 0.002). Furthermore, SRCs with greatest connectivity at T3, presumably the least recovered, have the most symptoms on the Graded Symptom Checklist at ∼3 months (r = 0.635, p = 0.001).ConclusionsHeightened connectivity of amygdala circuitry acutely after a concussion and its normalization over time may be protective, and with HRV, may be a biomarker of symptom persistence.

scholarly journals Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI

2021 ◽  
Author(s):  
Simone Cauzzo ◽  
KAVITA SINGH ◽  
Matthew Matthew Stauder ◽  
Maria Guadalupe Garcia-Gomar ◽  
Nicola Vanello ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Sensory Function ◽  
3 Tesla ◽  
7 Tesla ◽  
Reticular Nucleus ◽  
Isotropic Resolution ◽  
Functional Connectome ◽  
Brainstem Nuclei

Despite remarkable advances in mapping the functional connectivity of the cortex, the functional connectivity of subcortical regions is understudied in living humans. This is the case for brainstem nuclei that control vital processes, such as autonomic, limbic, nociceptive and sensory functions. This is because of the lack of precise brainstem nuclei localization, of adequate sensitivity and resolution in the deepest brain regions, as well as of optimized processing for the brainstem. To close the gap between the cortex and the brainstem, on 20 healthy subjects, we computed a correlation based functional connectome of 15 brainstem nuclei involved in autonomic, limbic, nociceptive, and sensory function (superior and inferior colliculi, ventral tegmental area parabrachial pigmented nucleus complex, microcellular tegmental nucleus prabigeminal nucleus complex, lateral and medial parabrachial nuclei, vestibular and superior olivary complex, superior and inferior medullary reticular formation, viscerosensory motor nucleus, raphe magnus, pallidus, and obscurus, and parvicellular reticular nucleus alpha part) with the rest of the brain. Specifically, we exploited 1.1mm isotropic resolution 7 Tesla resting state fMRI, ad hoc coregistration and physiological noise correction strategies, and a recently developed probabilistic template of brainstem nuclei. Further, we used 2.5mm isotropic resolution resting state fMRI data acquired on a 3 Tesla scanner to assess the translatability of our results to conventional datasets. We report highly consistent correlation coefficients across subjects, confirming available literature on autonomic, limbic, nociceptive and sensory pathways, as well as high interconnectivity within the central autonomic network and the vestibular network. Interestingly, our results showed evidence of vestibulo autonomic interactions in line with previous work. Comparison of 7 Tesla and 3 Tesla findings showed high translatability of results to conventional settings for brainstem cortical connectivity and good yet weaker translatability for brainstem brainstem connectivity. The brainstem functional connectome might bring new insight in the understanding of autonomic, limbic, nociceptive and sensory function in health and disease.

scholarly journals Functional connectome of arousal and motor brainstem nuclei in living humans by 7 Tesla resting-state fMRI

2021 ◽  
Author(s):  
kavita singh ◽  
Simone Cauzzo ◽  
Maria Guadalupe Garcia-Gomar ◽  
Matthew Stauder ◽  
Nicola Vanello ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Resting State ◽  
Resting State Fmri ◽  
3 Tesla ◽  
7 Tesla ◽  
Resting State Functional Connectivity ◽  
Functional Connectome ◽  
Brainstem Nuclei ◽  
The Brain

Brainstem nuclei play a pivotal role in many functions, such as arousal and motor control. Nevertheless, the connectivity of arousal and motor brainstem nuclei is understudied in living humans due to the limited sensitivity and spatial resolution of conventional imaging, and to the lack of atlases of these deep tiny regions of the brain. For a holistic comprehension of sleep, arousal and associated motor processes, we investigated in 20 healthy subjects the resting-state functional connectivity of 18 arousal and motor brainstem nuclei in living humans. To do so, we used high spatial-resolution 7 Tesla resting-state fMRI, as well as a recently developed in-vivo probabilistic atlas of these nuclei in stereotactic space. Further, we verified the translatability of our brainstem connectome approach to conventional (e.g. 3 Tesla) fMRI. Arousal brainstem nuclei displayed high interconnectivity, as well as connectivity to the thalamus, hypothalamus, basal forebrain and frontal cortex, in line with animal studies and as expected for arousal regions. Motor brainstem nuclei showed expected connectivity to the cerebellum, basal ganglia and motor cortex, as well as high interconnectivity. Comparison of 3 Tesla to 7 Tesla connectivity results indicated good translatability of our brainstem connectome approach to conventional fMRI, especially for cortical and subcortical (non-brainstem) targets and to a lesser extent for brainstem targets. The functional connectome of 18 arousal and motor brainstem nuclei with the rest of the brain might provide a better understanding of arousal, sleep and accompanying motor function in living humans in health and disease.

scholarly journals Sampling Rate Effects on Resting State fMRI Metrics

2019 ◽  
Vol 13 ◽  
Author(s):  
Niko Huotari ◽  
Lauri Raitamaa ◽  
Heta Helakari ◽  
Janne Kananen ◽  
Ville Raatikainen ◽  
...  
Keyword(s):  
Resting State ◽  
Sampling Rate ◽  
Resting State Fmri ◽  
Rate Effects

scholarly journals Characterization of brain-wide somatosensory BOLD fMRI in mice under dexmedetomidine/isoflurane and ketamine/xylazine

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Taeyi You ◽  
Geun Ho Im ◽  
Seong-Gi Kim
Keyword(s):  
Heart Rate ◽  
Resting State ◽  
Intravenous Infusion ◽  
Resting State Fmri ◽  
Bold Response ◽  
Bold Fmri ◽  
Whisker Pad ◽  
The Brain ◽  
Higher Sensitivity

AbstractMouse fMRI under anesthesia has become increasingly popular due to improvement in obtaining brain-wide BOLD response. Medetomidine with isoflurane has become well-accepted for resting-state fMRI, but whether this combination allows for stable, expected, and robust brain-wide evoked response in mice has yet to be validated. We thus utilized intravenous infusion of dexmedetomidine with inhaled isoflurane and intravenous infusion of ketamine/xylazine to elucidate whether stable mouse physiology and BOLD response are obtainable in response to simultaneous forepaw and whisker-pad stimulation throughout 8 h. We found both anesthetics result in hypercapnia with depressed heart rate and respiration due to self-breathing, but these values were stable throughout 8 h. Regardless of the mouse condition, brain-wide, robust, and stable BOLD response throughout the somatosensory axis was observed with differences in sensitivity and dynamics. Dexmedetomidine/isoflurane resulted in fast, boxcar-like, BOLD response with consistent hemodynamic shapes throughout the brain. Ketamine/xylazine response showed higher sensitivity, prolonged BOLD response, and evidence for cortical disinhibition as significant bilateral cortical response was observed. In addition, differing hemodynamic shapes were observed between cortical and subcortical areas. Overall, we found both anesthetics are applicable for evoked mouse fMRI studies.

scholarly journals Identification of Physiological Response Functions to Correct for Fluctuations in Resting-State fMRI related to Heart Rate and Respiration

2019 ◽  
Author(s):  
Michalis Kassinopoulos ◽  
Georgios D. Mitsis
Keyword(s):  
Heart Rate ◽  
Response Function ◽  
Resting State ◽  
Physiological Response ◽  
Resting State Fmri ◽  
Cardiac Response ◽  
Physiological Data ◽  
Response Functions ◽  
Breathing Patterns ◽  
The Mean

AbstractFunctional magnetic resonance imaging (fMRI) is widely viewed as the gold standard for studying brain function due to its high spatial resolution and non-invasive nature. However, it is well established that changes in breathing patterns and heart rate strongly influence the blood oxygen-level dependent (BOLD) fMRI signal and this, in turn, can have considerable effects on fMRI studies, particularly resting-state studies. The dynamic effects of physiological processes are often quantified by using convolution models along with simultaneously recorded physiological data. In this context, physiological response function (PRF) curves (cardiac and respiratory response functions), which are convolved with the corresponding physiological fluctuations, are commonly employed. While it has often been suggested that the PRF curves may be region- or subject- specific, it is still an open question whether this is the case. In the present study, we propose a novel framework for the robust estimation of PRF curves and use this framework to rigorously examine the implications of using population-, subject-, session- and scan-specific PRF curves. The proposed framework was tested on resting-state fMRI and physiological data from the Human Connectome Project. Our results suggest that PRF curves vary significantly across subjects and, to a lesser extent, across sessions from the same subject. These differences can be partly attributed to physiological variables such as the mean and variance of the heart rate during the scan. The proposed methodological framework can be used to obtain robust scan-specific PRF curves from data records with duration longer than 5 minutes, exhibiting significantly improved performance compared to previously defined canonical cardiac and respiration response functions. Besides removing physiological confounds from the BOLD signal, accurate modeling of subject- (or session-/scan-) specific PRF curves is of importance in studies that involve populations with altered vascular responses, such as aging subjects.HighlightsPhysiological response functions (PRF) vary considerably across subjects/sessionsScan-specific PRF curves can be obtained from data records longer than 5 minutesThe shape of the cardiac response function is linked to the mean heart rate (HR)Brain regions affected by HR and breathing patterns exhibit substantial overlapHR and breathing patterns affect distinct regions as compared to cardiac pulsatility

Sign in / Sign up

Export Citation Format

Share Document