scholarly journals Spontaneous blood oxygenation level-dependent fMRI signal is modulated by behavioral state and correlates with evoked response in sensorimotor cortex: A 7.0-T fMRI study

2011 ◽  
Vol 33 (3) ◽  
pp. 511-522 ◽  
Author(s):  
Manus J. Donahue ◽  
Hans Hoogduin ◽  
Stephen M. Smith ◽  
Jeroen C.W. Siero ◽  
Michael Chappell ◽  
...  
Keyword(s):  
Sensorimotor Cortex ◽  
Blood Oxygenation Level Dependent ◽  
Blood Oxygenation ◽  
Evoked Response ◽  
Behavioral State ◽  
Fmri Signal ◽  
Fmri Study ◽  
Blood Oxygenation Level ◽  
Oxygenation Level

scholarly journals Canonical EEG Microstates Transitions Reflect Switching Among BOLD Resting State Networks and Predict fMRI Signal

2021 ◽  
Author(s):  
Obada Al Zoubi ◽  
Ahmad Mayeli ◽  
Masaya Misaki ◽  
Aki Tsuchiyagaito ◽  
Vadim Zotev ◽  
...  
Keyword(s):  
Machine Learning ◽  
Resting State ◽  
Blood Oxygenation Level Dependent ◽  
Blood Oxygenation ◽  
Learning Approaches ◽  
Resting State Networks ◽  
Functional Interpretation ◽  
Fmri Signal ◽  
Blood Oxygenation Level ◽  
Oxygenation Level

Abstract Objective. Electroencephalography microstates (EEG-ms), which reflect a large topographical representation of coherent electrophysiological brain activity, are widely adopted to study cognitive processes mechanisms and aberrant alterations in brain disorders. EEG-ms topographies are quasi-stable lasting between 60-120 milliseconds. Some evidence suggests that EEG-ms are the electrophysiological signature of resting-state networks (RSNs). However, the spatial and functional interpretation of EEG-ms and their association with functional MRI (fMRI) remains unclear. Approach. In a large cohort of healthy subjects (n = 52), we conducted several statistical and machine learning approaches analyses on the association among EEG-ms spatio-temporal dynamics and the blood-oxygenation-level dependent (BOLD) simultaneous EEG-fMRI data using statistical and machine learning approaches. Main results. Our results using a generalized linear model unraveled that EEG-ms transitions were largely and negatively associated with blood-oxygenation-level dependent (BOLD) signals in the somatomotor, visual, dorsal attention, and ventral attention fMRI networks with limited association within the default mode network. Additionally, a novel recurrent neural network (RNN) confirmed the association between EEG-ms transitioning and fMRI signal while revealing that EEG-ms dynamics can predict BOLD signals and vice versa. Significance. Results suggest that EEG-ms transitions may represent the deactivation of fMRI RSNs and provide evidence that both modalities can measure common aspects of undergoing brain neuronal activities. Moreover, our results may help to better understand the electrophysiological interpretation of EEG-ms and solve several contradicting findings in the literature.

Absence of haemodynamic refractory effects in patients with migraine without aura – an interictal fMRI study

Cephalalgia ◽  
2011 ◽  
Vol 31 (11) ◽  
pp. 1220-1231 ◽  
Author(s):  
Benedicte Descamps ◽  
Pieter Vandemaele ◽  
Harmen Reyngoudt ◽  
Karel Deblaere ◽  
Luc Leybaert ◽  
...  
Keyword(s):  
Migraine Without Aura ◽  
Blood Oxygenation Level Dependent ◽  
Blood Oxygenation ◽  
Time To Peak ◽  
Fmri Study ◽  
Blood Oxygenation Level ◽  
Oxygenation Level ◽  
The Face ◽  
Reference Situation ◽  
Face Stimuli

Background: In healthy controls, haemodynamic refractory effects are observed with blood-oxygenation-level dependent (BOLD) functional MRI (fMRI): the haemodynamic response function (HRF) to the second stimulus in a pair of stimuli with short interstimulus interval (ISI) shows a decreased amplitude and an increased time-to-peak. We hypothesize that there may be interictal haemodynamic abnormalities in migraineurs. Methods: An event-related fMRI design with paired face stimuli and varying ISIs was used to measure interictal HRFs in the face recognition area of patients with migraine without aura (MwoA) and controls. Net responses to the second stimulus in a pair were calculated and averaged per participant. Several characterizing parameters of the net responses were quantified and examined within each group. Results: Refractory effects were not observed in our patient group. There are no changes in the net responses compared with the reference situation in patients, irrespective of the ISI, whereas in controls all HRF parameters are decreased or delayed for an ISI of 1 second. Conclusion: This is the first fMRI study investigating the haemodynamic refractory effects in MwoA patients. Unlike in controls, these effects are not observed in migraineurs. Although currently unclear, it is tempting to speculate that this observation reflects the neurovascular correlate of lack of habituation measured with evoked potentials in migraineurs.

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