“…The specificity of BOLD changes in relation to alpha fluctuations is easy to understand when considering the high tvalue of negative and positive correlation obtained in previous studies. These results confirm animal studies (Lopes da Silva and Storm van Leeuwen, 1997;Steriade et al, 1990) reporting two different components in the generation of the alpha rhythm: the rhythmic thalamic activity and a cortico-cortical component that contributes to the generation of a cortical domain of alpha and its propagation over the cortex. Positive correlation of BOLD in the thalami could be explained by the rhythmic depolarization leading to repetitive bursts of action potential.…”
Objective-We evaluated BOLD correlates of alertness fluctuations commonly seen during prolonged EEG-fMRI studies to better define the brain areas active at different phases of vigilance and to assess the contribution of these fluctuations to the BOLD signal.Methods-We evaluated BOLD changes specifically related to the main physiological EEG rhythms (alpha, beta, theta, delta, spindles) in 15 epilepsy patients with rare discharges (all the regressors were included in the same general linear model to improve specificity).Results-We found a consistent effect of spindles, alpha and theta. For alpha, BOLD was positively correlated in thalami and putamen, and negatively correlated in the occipital, parietal and frontal lobes. For theta, a negative correlation was found over the parietal, temporal and frontal lobes. Spindles were correlated with a positive BOLD in thalami and putamen. Rhythm regressors added as confounds in the fMRI analysis explained at least 5% of BOLD signal variance in 6.8 ± 8.9% of gray matter voxels, a contribution which is of the order of typical changes in fMRI studies.Conclusion-First, we found specific cerebral structures involved in each main EEG rhythm generation. Second, fluctuations of these rhythms following vigilance changes are responsible for noteworthy BOLD changes. Significance: Physiological EEG rhythms may be integrated to the analysis of EEG-fMRI in studies with fluctuation of alertness, to eliminate possible confounding factors.
“…The specificity of BOLD changes in relation to alpha fluctuations is easy to understand when considering the high tvalue of negative and positive correlation obtained in previous studies. These results confirm animal studies (Lopes da Silva and Storm van Leeuwen, 1997;Steriade et al, 1990) reporting two different components in the generation of the alpha rhythm: the rhythmic thalamic activity and a cortico-cortical component that contributes to the generation of a cortical domain of alpha and its propagation over the cortex. Positive correlation of BOLD in the thalami could be explained by the rhythmic depolarization leading to repetitive bursts of action potential.…”
Objective-We evaluated BOLD correlates of alertness fluctuations commonly seen during prolonged EEG-fMRI studies to better define the brain areas active at different phases of vigilance and to assess the contribution of these fluctuations to the BOLD signal.Methods-We evaluated BOLD changes specifically related to the main physiological EEG rhythms (alpha, beta, theta, delta, spindles) in 15 epilepsy patients with rare discharges (all the regressors were included in the same general linear model to improve specificity).Results-We found a consistent effect of spindles, alpha and theta. For alpha, BOLD was positively correlated in thalami and putamen, and negatively correlated in the occipital, parietal and frontal lobes. For theta, a negative correlation was found over the parietal, temporal and frontal lobes. Spindles were correlated with a positive BOLD in thalami and putamen. Rhythm regressors added as confounds in the fMRI analysis explained at least 5% of BOLD signal variance in 6.8 ± 8.9% of gray matter voxels, a contribution which is of the order of typical changes in fMRI studies.Conclusion-First, we found specific cerebral structures involved in each main EEG rhythm generation. Second, fluctuations of these rhythms following vigilance changes are responsible for noteworthy BOLD changes. Significance: Physiological EEG rhythms may be integrated to the analysis of EEG-fMRI in studies with fluctuation of alertness, to eliminate possible confounding factors.
“…At the same time, we propose that the occipital alpha driven by OCC ABS reflects the "induced alpha rhythm" (Ben-Simon et al 2008) or the "low-amplitude alpha" activity (Scheeringa et al 2012). This type of alpha rhythm has a clear source in the occipital area and probably reflects oscillations identified in many other studies as the alpha rhythm associated with the thalamo-occipital circuit (Contreras and Steriade 1997, DiFrancesco et al 2008, Feige et al 2005, Goldman et al 2002, Lopes da Silva et al 1973, Lopes Da Silva and Storm Van Leeuwen 1977, Moosmann et al 2003, Moruzzi and Magoun, 1949, de Munck et al 2007, Sadaghiani et al 2010, Steriade et al 1993. One potential reason why the regions found here as related to the DMN alpha (the parieto-medial and frontal cluster) have not been observed in previous works, is that the DMN alpha is of much smaller power than the occipital alpha rhythm (Fig.…”
Section: Two Components Of the Resting State Alpha Rhythm: Dmn Alpha supporting
confidence: 65%
“…Basic knowledge derived from intracranial animal studies (Contreras and Steriade 1997, Lopes da Silva et al 1973, Lopes Da Silva and Storm Van Leeuwen, 1977, Moruzzi and Magoun, 1949Steriade et al 1993) established the hypothesis that the alpha rhythm is elicited in the visual (occipital) cortex and the visual thalamus during resting state. This phenomenon could mirror the relationship between alpha rhythm generated in the thalamo-occipital circuity and hemodynamic activity, as a reflection of parallel metabolic changes in human studies.…”
Section: Alpha Rhythm and The Thalamo-occipital Circuitmentioning
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.
“…Similarly, we demonstrated previously that there are also significant phase shifts over the surface of the marginal gyms (Lopes da Silva and Storm van Leeuwen 1978). Since alpha rhythms have been shown to originate in layers IV and V of the visual cortex (Lopes da Silva and Storm van Leeuwen 1977Leeuwen , 1978 it has been hypothesized that in the cortex there exist 'epicentres' of alpha activity from which this activity spreads in different directions with relatively low 'apparent velocities of propagation', of the order of 0.3 m/sec.…”
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