Biomagnetic systems for clinical use

Penna, Stefania Della; Gratta, Cosimo Del; Granata, C.; Pasquarelli, A.; Pizzella, Vittorio; Rossi, Rafael; Russo, M.; Torquati, K.; Erné, S. N.

doi:10.1080/01418630008221960

Cited by 56 publications

(22 citation statements)

References 11 publications

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“…During recoding subjects were instructed to maintain fixation on a small visual target. Neuromagnetic signals (filter settings 0.16–250 Hz, 1 KHz sampling rate) were recorded using the 153-magnetometer MEG system developed, and maintained at the University of Chieti (Della Penna et al, 2000). …”

Section: Materials and Methods (See Supplementary Information For Addmentioning

confidence: 99%

A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain

Pasquale

Penna

Snyder

et al. 2012

Neuron

413

409

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Summary We used magneto-encephalography to study the temporal dynamics of band-limited power correlation at rest within and across six brain networks previously defined by prior fMRI studies. Epochs of transiently high within-network BLP correlation were identified and correlation of BLP time-series across networks was assessed in these epochs. These analyses demonstrate that functional networks are not equivalent with respect to cross-network interactions. The default-mode network and the posterior cingulate cortex, in particular, exhibit the highest degree of transient BLP correlation with other networks especially in the 14–25 Hz (beta band) frequency range. Our results indicate that the previously demonstrated neuroanatomical centrality of the PCC and DMN has a physiological counterpart in the temporal dynamics of network interaction at behaviorally relevant time scales. This interaction involved subsets of nodes from other networks during periods in which their internal correlation was low.

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Section: Materials and Methods (See Supplementary Information For Addmentioning

confidence: 99%

A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain

Pasquale

Penna

Snyder

et al. 2012

Neuron

413

409

View full text Add to dashboard Cite

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“…Neuromagnetic signals were recorded using a 153-magnetometer MEG system built at the University of Chieti (Della Penna et al, 2000) while fMRI was acquired on 3T MR Philips Achieva scanner. All participants signed prior to the experiment an informed consent form approved by the Ethics Committee of the University of Chieti.…”

Section: Methodsmentioning

confidence: 99%

Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain

Betti

Penna

Pasquale

et al. 2013

Neuron

188

175

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SUMMARY Spontaneous fMRI fluctuations are organized in large-scale spatiotemporal structures, or resting-state networks (RSN). However, it is unknown how task performance affects RSN dynamics. We use MEG to measure slow (~0.1 Hz) coherent fluctuations of band-limited power (BLP), a robust correlate of RSN, during rest and movie observation and compare them to fMRI-RSN. BLP correlation, especially in α band, dropped in multiple RSN during movie although overall topography was maintained. Variability of power correlation increased in visual occipital cortex, and transient decrements corresponded to scenes perceived as “event boundaries.” Additionally, stronger task-dependent interactions developed between vision and language networks in θ and β bands, and default and language networks in γ band. The topography of fMRI connectivity and relative changes induced by the movie were well matched to MEG. We conclude that resting-state and task network interactions are clearly different in the frequency domain despite maintenance of underlying network topography.

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“…Each subject contributed two 5 min resting state MEG runs during which they were instructed to maintain fixation on a visual crosshair. MEG was recorded using the 165-channel MEG system installed at the University of Chieti (Della Penna et al, 2000). This system includes 153 dc SQUID integrated magnetometers arranged on a helmet covering the whole head plus 12 reference channels.…”

Section: Methodsmentioning

confidence: 99%

Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure

et al. 2013

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Resting state networks (RSNs) are sets of brain regions exhibiting temporally coherent activity fluctuations in the absence of imposed task structure. RSNs have been extensively studied with fMRI in the infra-slow frequency range (nominally < 10−1 Hz). The topography of fMRI RSNs reflects stationary temporal correlation over minutes. However, neuronal communication occurs on a much faster time scale, at frequencies nominally in the range of 100 – 102 Hz. We examined phase-shifted interactions in the delta (2–3.5 Hz), theta (4–7 Hz), alpha (8–12 Hz) and beta (13–30 Hz) frequency bands of resting-state source space MEG signals. These analyses were conducted between nodes of the dorsal attention network (DAN), one of the most robust RSNs, and between the DAN and other networks. Phase shifted interactions were mapped by the Multivariate Interaction Measure (MIM), a measure of true interaction constructed from the maximization of imaginary coherency in the virtual channels comprised of voxel signals in source space. Non zero-phase interactions occurred between homologous left and right hemisphere regions of the DAN in the delta and alpha frequency bands. Even stronger non zero-phase interactions were detected between networks. Visual regions bilaterally showed phase-shifted interactions in the alpha band with regions of the DAN. Bilateral somatomotor regions interacted with DAN nodes in the beta band. These results demonstrate the existence of consistent, frequency specific phase-shifted interactions on a millisecond time scale between cortical regions within RSN as well as across RSNs.

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Biomagnetic systems for clinical use

Cited by 56 publications

References 11 publications

A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain

A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain

Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain

Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure

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