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In the past decade, the fast and transient coupling and uncoupling of functionally related brain regions into networks has received much attention in cognitive neuroscience. Empirical tools to study network coupling include functional magnetic resonance imaging (fMRI)-based functional and/or effective connectivity, and electroencephalography (EEG)/magnetoencephalography-based measures of neuronal synchronization. Here we use simultaneously recorded EEG and fMRI to assess whether fMRI-based connectivity and frequency-specific EEG power are related. Using data collected during resting state, we studied whether posterior EEG alpha power fluctuations are correlated with connectivity within the visual network and between the visual cortex and the rest of the brain. The results show that when alpha power increases, BOLD connectivity between the primary visual cortex and occipital brain regions decreases and that the negative relation of the visual cortex with the anterior/medial thalamus decreases and the ventral–medial prefrontal cortex is reduced in strength. These effects were specific for the alpha band, and not observed in other frequency bands. The decreased connectivity within the visual system may indicate an enhanced functional inhibition during a higher alpha activity. This higher inhibition level also attenuates long-range intrinsic functional antagonism between the visual cortex and the other thalamic and cortical regions. Together, these results illustrate that power fluctuations in posterior alpha oscillations result in local and long-range neural connectivity changes.
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Mirror neurons in the cerebral cortex have been shown to fire not onlyduring performance but also during visual and auditory observation ofactivity. This phenomenon is commonly called cerebral resonance behavior.This would mean that cortical motor regions would not only beactivated while singing, but also while listening to music. The sameshould hold true for playing a music instrument. Although most individualsare able to sing along when they hear a melody, even highlyskilled instrumentalists, however, are frequently unable to play by ear.They are score-dependent—i.e. they are only able to play a piece of musicwhen they have access to the notes—while musicians who are able to playby ear and improvise are non score-dependent; they are able to playwithout notes. Our hypothesis is that score-dependent instrumentalistswill exhibit less cerebral resonance behavior than non score-dependentmusicians while listening to music. Using fMRI to measure BOLD response,subjects listen to two-part harmony presented with headphones.The following experimental conditions are distinguished: (1) well-knownvs. unknown music (2) motor imagery vs. attentive listening. A voxelbasedanalysis of differences between the condition-related cerebral activationsis performed using Statistical Parametric Mapping.
Semantic unification during sentence comprehension has been associated with amplitude change of the N400 in event-related potential (ERP) studies, and activation in the left inferior frontal gyrus (IFG) in functional magnetic resonance imaging (fMRI) studies. However, the specificity of this activation to semantic unification remains unknown. To more closely examine the brain processes involved in semantic unification, we employed simultaneous EEG-fMRI to time-lock the semantic unification related N400 change, and integrated trial-by-trial variation in both N400 and BOLD change beyond the condition-level BOLD change difference measured in traditional fMRI analyses. Participants read sentences in which semantic unification load was parametrically manipulated by varying cloze probability. Separately, ERP and fMRI results replicated previous findings, in that semantic unification load parametrically modulated the amplitude of N400 and cortical activation. Integrated EEG-fMRI analyses revealed a different pattern in which functional activity in the left IFG and bilateral supramarginal gyrus (SMG) was associated with N400 amplitude, with the left IFG activation and bilateral SMG activation being selective to the condition-level and trial-level of semantic unification load, respectively. By employing the EEG-fMRI integrated analyses, this study among the first sheds light on how to integrate trial-level variation in language comprehension.
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