Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy

By M. Moosmann, Petra Ritter, Ina Krastel, A. Brink, S. Thees, Felix Blankenburg, Birol Taskin, H. Obrig, Arno Villringer. NeuroImage, 2003

625 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/34e0c68d2ab80c17320732ada26a00cdabdddcb7

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Citations in the corpus

fMRI resting state networks define distinct modes of long-distance interactions in the human brain (2006, background): “Previous work has provided evidence that some RSNs are correlated with slow modulations of EEG-measured neuronal activity in the alpha band (Goldman and Cohen, 2003; Goldman et al., 2002; Laufs et al., 2003) and mu band (Moosmann et al., 2003).”
Intelligence and neural efficiency. (2009, neutral): “…EEG and fMRI parameters during rest (e.g., De Munck et al., 2007; Feige et al., 2005; Goldman et al., 2002; Jann et al., 2009; Laufs et al., 2003; Moosmann et al., 2003; Olbrich et al., 2009) and future studies in this field of research are challenged by the multimethodological investigation of…”
Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives (2014, positive): “with blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals at the primary visual cortex as well as the thalamus [53], [54], corroborating the thalamocortical origins for the endogenous rhythms.”
Optimal sustained attention is linked to the spectral content of background EEG activity: greater ongoing tonic alpha (∼10 Hz) power supports successful phasic goal activation (2007, background): “3).”
Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: Current approaches and future perspectives (2016, neutral): “…(Antal et al., 2011), and 10 s blocks of TACS of the visual cortex at individual alpha frequency did not result in a TACS-related BOLD decrease (Vosskuhl et al., 2015) as expected from previous concurrent EEG– fMRI work on alpha oscillations (e.g. Moosmann et al., 2003; Scheeringa et al., 2011).”
EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement (2009, positive): “Moosmann et al. (2003), Goldman et al. (2002) and Feige et al. (2005) report a positive correlation between alpha power and thalamic BOLD activity.”
Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest (2008, background): “…in concert with fMRI acquisition showed that in subjects at rest with eyes closed, posterior EEG alpha power is inversely related to BOLD signal in regions of occipital, superior temporal, inferior frontal, and cingulate cortex [Goldman et al., 2002; Laufs et al., 2006; Moosmann et al., 2003].”
Brain activity, underlying mood and the environment: A systematic review (2019, background): “Higher levels of alpha EEG are said to correlate with lower activation in fMRI studies (Goldman, Stern, Engel Jr, & Cohen, 2002; Laufs et al., 2003; Moosmann et al., 2003).”
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? (2016, background): “What makes these studies interesting, in our opinion, is that they suggest that the coordination between BOLDfMRI time series covaries with electrophysiological processes, thereby extending studies that investigate electrophysiological correlates, for example, EEG alpha power (Laufs et al., 2003; Mo”
Spatiotemporal dynamics of the brain at rest - Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks (2012, background): “A limited number of RSNs, such as the visual networks (Goldman et al., 2002; Moosmann et al., 2003) and the default mode network (Laufs et al.”
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated (2013, background): “Prior studies have shown that the amplitude of alpha rhythms is positively correlated to the BOLD signal (Goldman et al., 2002; Moosmann et al., 2003), although, it should be noted that Laufs et al. failed to reproduce this result (Laufs et al., 2003).”
Negative Covariation between Task-related Responses in Alpha/Beta-Band Activity and BOLD in Human Sensorimotor Cortex: an EEG and fMRI Study of Motor Imagery and Movements (2009, background): “…studies have demonstrated the coupling between hemodynamic signals and lowfrequency neurophysiologic oscillations, in the spontaneous resting state (Goldman et al., 2002; Moosmann et al., 2003) and in an alternation between the resting state and one task (Feige et al., 2005; Ritter et al., 2009).”
Where the BOLD signal goes when alpha EEG leaves (2006, methodology): “…spontaneous 8 – 12 Hz alpha desynchronization has been controversial, with two studies mapping this effect mainly to the occipital lobe (Goldman et al., 2002; Moosmann et al., 2003) and our previous study observing signal changes centered in frontal and parietal cortices (Laufs et al., 2003a).”
A Wearable Multi-Channel fNIRS System for Brain Imaging in Freely Moving Subjects (2013, background): “…relatively low costs, iv) ease of integration with other modalities such as electro encephalography (EEG) (Fazli et al., 2012; Lareau et al., 2011; Moosmann et al., 2003; Obrig et al., 2002; Wallois et al., 2012) or functional magnetic resonance imaging (fMRI)(Cooper et al., 2012;…”
Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. (2008, neutral): “…et al. 2002; Beckmann et al. 2005; Damoiseaux et al. 2006) and covary with spontaneous changes in EEG a-band activity (e.g., Goldman et al. 2002; Moosmann et al. 2003; Martinez-Montes et al. 2004), although at a slower rate (fluctuation of 0.1 Hz) than in the present study, due to the temporal…”