A twin-volume head coil for fMRI to study two interacting brains in one scanner

Lee, Ray F.; Dai, W.; Dix, William S.

doi:10.1109/ner.2009.5109261

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…For instance, most references to specific brain areas in this article borrow heavily from related fMRI work (Lee et al, 2009; Schippers et al, 2010; Stephens et al, 2010). At the same time, the potential of EEG data to provide information about the source of neural activity, especially if complemented by other imaging modalities, is greater than commonly assumed (Michel and He, 2011; Michel and Murray, 2011).…”

Section: Discussionmentioning

confidence: 99%

Intra- and interbrain synchronization and network properties when playing guitar in duets

Sänger

Müller

Lindenberger

2012

Front. Hum. Neurosci.

260

249

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To further test and explore the hypothesis that synchronous oscillatory brain activity supports interpersonally coordinated behavior during dyadic music performance, we simultaneously recorded the electroencephalogram (EEG) from the brains of each of 12 guitar duets repeatedly playing a modified Rondo in two voices by C.G. Scheidler. Indicators of phase locking and of within-brain and between-brain phase coherence were obtained from complex time-frequency signals based on the Gabor transform. Analyses were restricted to the delta (1–4 Hz) and theta (4–8 Hz) frequency bands. We found that phase locking as well as within-brain and between-brain phase-coherence connection strengths were enhanced at frontal and central electrodes during periods that put particularly high demands on musical coordination. Phase locking was modulated in relation to the experimentally assigned musical roles of leader and follower, corroborating the functional significance of synchronous oscillations in dyadic music performance. Graph theory analyses revealed within-brain and hyperbrain networks with small-worldness properties that were enhanced during musical coordination periods, and community structures encompassing electrodes from both brains (hyperbrain modules). We conclude that brain mechanisms indexed by phase locking, phase coherence, and structural properties of within-brain and hyperbrain networks support interpersonal action coordination (IAC).

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Section: Discussionmentioning

confidence: 99%

Intra- and interbrain synchronization and network properties when playing guitar in duets

Sänger

Müller

Lindenberger

2012

Front. Hum. Neurosci.

260

249

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“…22 The model in Figure 1 shows the three layers of forward models of one person engaged in an interactive task. 22 The model in Figure 1 shows the three layers of forward models of one person engaged in an interactive task.…”

Section: Functional Imaging Of Interacting Brainsmentioning

confidence: 99%

Interactive brains, social minds

Sänger

Lindenberger

Müller

2011

Communicative & Integrative Biology

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To reveal the neural and behavioral dynamics of social interaction, single-person studies are increasingly complemented by research designs that simultaneously assess two or more interacting individuals. In this article, we review studies on neural mechanisms and markers of social interactions that use multi-person functional magnetic resonance imaging and electrophysiological recordings. We propose a terminology for investigating social interaction dynamics, show how forward models of action regulation may serve as a framework for investigating interpersonal action coordination and discuss different methodological approaches to studying functional brain connectivity.

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A twin-volume head coil for fMRI to study two interacting brains in one scanner

Cited by 2 publications

References 5 publications

Intra- and interbrain synchronization and network properties when playing guitar in duets

Intra- and interbrain synchronization and network properties when playing guitar in duets

Interactive brains, social minds

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