Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies

Tyvaert, Louise; LeVan, Pierre; Grova, Christophe; Dubeau, François; Gotman, Jean

doi:10.1016/j.clinph.2008.07.284

Cited by 94 publications

(131 citation statements)

References 50 publications

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“…These authors observed a correlation between an increase in occipital alpha power and a decrease in fMRI blood oxygenation level-dependent (BOLD) signals in the occipital, superior temporal, inferior frontal, and cingulate cortices and with an increased hemodynamic response in the thalamus. Other EEG-fMRI results supported this finding (DiFrancesco et al 2008, Feige et al 2005, Liu 2012, Moosmann et al 2003, de Munck et al 2007, Tyvaert et al 2008. Interestingly, some published results seemed to confirm increases (Ben-Simon et al 2008) or decreases (Goldman et al 2002, Moosmann et al 2003 of the BOLD signal in anterior brain regions together with increases of alpha EEG activity in frontal recordings, but these relationships were not discussed in detail by the authors.…”

Section: Introductionsupporting

confidence: 67%

“…Other researchers have used the eyes-closed condition across the entire EEG session (a "resting state experiment" (DiFrancesco et al 2008, Goldman et al 2002, Laufs et al 2003, Mantini et al 2007, Moosmann et al 2003, de Munck et al 2007, Mantini et al 2007, Scheeringa et al 2012, Tyvaert et al 2008. The latter paradigm prevents BOLD signal variation due to visual stimulation but precludes comparisons of the results with experiments searching for neuronal mechanisms underlying the Berger effect (Berger 1929).…”

Section: General Methodological Remarksmentioning

confidence: 99%

“…Schreckenberger and colleagues (2004) used simultaneous EEG-PET imaging to show that increased glucose consumption in the occipital lobes correlated with an increased alpha rhythm amplitude. Furthermore, many EEG-fMRI studies that used both an alternating eyes-open / eyes-closed paradigm (Ben-Simon et al 2008, Feige et al 2005, Liu 2012) and a resting state with eyes-closed experiment (DiFrancesco et al 2008, Goldman et al 2002, Laufs et al 2003, Moosmann et al 2003, de Munck et al 2007, Scheeringa et al 2012, Tyvaert et al 2008) demonstrated correlations between the occipital BOLD signal and alpha rhythm amplitude.…”

Section: Alpha Rhythm and The Thalamo-occipital Circuitmentioning

confidence: 99%

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The relationship between alpha burst activity and the default mode network

Rusiniak¹,

Wróbel²,

Cieśla³

et al. 2018

Acta Neurobiologiae Experimentalis

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Alpha rhythm, described by Hans Berger, is mainly recorded from the occipital cortex (OCC) of relaxed subjects with their eyes closed.Early studies indicated the thalamo-cortical circuit as the origin of alpha rhythm. Recent works suggest an additional relationship between alpha rhythm and the Default Mode Network (DMN). We simultaneously recorded electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) signals in 36 young males asked to alternately close and open their eyes in 30-s blocks.Using an EEG source channel montage (the recorded signal was interpolated to designated source positions corresponding to certain brain regions) we found an alpha rhythm sub-activity composed of its intrinsic events, called alpha bursting segments (ABS). More ABS were observed on source channels related to the DMN than those located over the OCC. Similarly, both the beamformer source analysis and fMRI indicated that the specific ABS activity detected on the posterior cingulate cortex/precuneus (PCC) source channel was less related to the OCC than to the DMN source channels. The fMRI analysis performed using the PCC-ABS as a general linear model regressor indicated an increased blood oxygenation level-dependent signal change in DMN nodes -precuneus and prefrontal cortex. These results confirm the OCC source of alpha activity and additional specific sources of ABS in the DMN.

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Section: Introductionsupporting

confidence: 67%

Section: General Methodological Remarksmentioning

confidence: 99%

Section: Alpha Rhythm and The Thalamo-occipital Circuitmentioning

confidence: 99%

See 1 more Smart Citation

The relationship between alpha burst activity and the default mode network

Rusiniak¹,

Wróbel²,

Cieśla³

et al. 2018

Acta Neurobiologiae Experimentalis

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“…This result might potentially represent a typical feature of [r (20)] syndrome, as the physiologic hemodynamic correlates of theta-delta activity are mainly represented by negative BOLD changes over the associative frontoparietal cortices. [28][29][30] Furthermore, we observed that the power of the slow-wave rhythm negatively correlated with the BOLD signal within the DMN and the DAN. This finding indicates that the higher the expression of the rhythm, the greater the decrease of activity within the DMN and the DAN.…”

Section: ] Syndromementioning

confidence: 64%

Epilepsy‐related brain networks in ring chromosome 20 syndrome: An EEG‐fMRI study

et al. 2014

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SUMMARYObjective: To identify the brain networks that are involved in the different electroencephalography (EEG) abnormalities in patients with ring chromosome 20 [r(20)] syndrome. We hypothesize the existence of both distinctive and common brain circuits for the paroxysmal high voltage sharp waves (hSWs), the seizures, and the slow-wave 3-7 Hz rhythm that characterize this condition. Methods: Thirteen patients with [r(20)] syndrome were studied by means of EEG simultaneously recorded with functional magnetic resonance imaging (EEG-fMRI). EEG traces were reviewed in order to detect the pathologic interictal (hSWs) and ictal activities; the 3-7 Hz theta-delta power was derived using a fast Fourier transform. A group-level analysis was performed for each type of EEG abnormality separately using a fixed-effect model and a conjunction analysis. Finally, a second-level random-effect model was applied considering together the different EEG abnormalities, without distinction between hSW, seizures, or theta-delta rhythms. Results: Subcontinuous theta-delta rhythm was recorded in seven patients, seizures in two, and hSWs in three patients. The main results are the following: (1) the slow-wave rhythm was related to blood oxygen level-dependent (BOLD) increases in the premotor, sensory-motor, and temporoparietal cortex, and to BOLD decrements involving the default mode (DMN) and the dorsal attention networks (DANs); (2) the ictalrelated BOLD changes showed an early involvement of the prefrontal lobe; (3) increases in BOLD signal over the basal ganglia, either for interictal and ictal activities, were observed; (4) a common pattern of positive BOLD changes in the bilateral perisylvian regions was found across the different EEG abnormalities. Significance: The BOLD increment in the perisylvian network and the decrease of the DMN and DAN could be the expression of the [r(20)] syndrome-related cognitive and behavioral deficits. The observed BOLD patterns are similar to the ones detected in other epileptic encephalopathies, suggesting that different epileptic disorders characterized by neurobehavioral regression are associated with dysfunction in similar brain networks.

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“…Using such methods, several studies have examined the association between fluctuations in the frequency power of spontaneous EEG activity and BOLD signals obtained using fMRI (Goldman et al, 2002;Jann et al, 2009;Laufs et al, 2003;Mantini et al, 2007;Tyvaert et al, 2008). These studies have revealed that oscillations in the different frequency bands contribute differentially to the BOLD signal.…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

2018

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SummaryThe present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of largescale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants. Researchers have proposed that these microstates represent the basic building blocks of the chain of spontaneous conscious mental processes, and that their occurrence and temporal dynamics determine the quality of mentation. Several studies have further demonstrated that disturbances of mental processes associated with neurological and psychiatric conditions manifest as changes in the temporal dynamics of specific microstates. Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI. The scale-free properties of the time series of EEG microstates explain why similar networks can be observed at such different time scales.The present review will provide an overview of these EEG microstates, available methods for analysis, the functional interpretations of findings regarding these microstates, and their behavioral and clinical correlates.

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Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies

Cited by 94 publications

References 50 publications

The relationship between alpha burst activity and the default mode network

The relationship between alpha burst activity and the default mode network

Epilepsy‐related brain networks in ring chromosome 20 syndrome: An EEG‐fMRI study

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

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