Task-specific modulation of effective connectivity during two simple unimanual motor tasks: A 122-channel EEG study

Herz, Damian M.; Christensen, Mark Schram; Reck, Christiane; Florin, Esther; Barbe, Michael T.; Stahlhut, Carsten; Pauls, K. Amande M.; Tittgemeyer, Marc; Siebner, Hartwig R.; Timmermann, Lars

doi:10.1016/j.neuroimage.2011.11.042

Cited by 50 publications

(41 citation statements)

References 52 publications

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“…Increases in high-frequency activities, typically gamma-band, have also been associated with active information processing, and perhaps binding of information across regions (Buzsáki and Draguhn 2004; Fries et al 2007; Gregoriou et al 2009; Jutras et al 2009). Furthermore, increases in beta and gamma-band functional connectivity either in preparation for or during motor tasks have been reported within the sensorimotor network, frontal eye fields, and prefrontal cortices (Wheaton et al 2005; Bardouille and Boe 2012; Herz et al 2012). In this study, a global decrease in functional connectivity was seen in the alpha band, along with a frontally-predominant increase in functional connectivity within the high-beta band.…”

Section: Discussionmentioning

confidence: 99%

Modulation of EEG Functional Connectivity Networks in Subjects Undergoing Repetitive Transcranial Magnetic Stimulation

et al. 2013

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Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique that utilizes magnetic fluxes to alter cortical activity. Continuous theta-burst repetitive TMS (cTBS) results in long-lasting decreases in indices of cortical excitability, and alterations in performance of behavioral tasks. We investigated the effects of cTBS on cortical function via functional connectivity and graph theoretical analysis of EEG data. Thirty-one channel resting-state EEG recordings were obtained before and after 40 s of cTBS stimulation to the left primary motor cortex. Functional connectivity between nodes was assessed in multiple frequency bands using lagged max-covariance, and subsequently thresholded to construct undirected graphs. After cTBS, we find widespread decreases in functional connectivity in the alpha band. There are also simultaneous increases in functional connectivity in the high-beta bands, especially amongst anterior and interhemispheric connections. The analysis of the undirected graphs reveals that interhemispheric and interregional connections are more likely to be modulated after cTBS than local connections. There is also a shift in the topology of network connectivity, with an increase in the clustering coefficient after cTBS in the beta bands, and a decrease in clustering and increase in path length in the alpha band, with the alpha-band connectivity primarily decreased near the site of stimulation. cTBS produces widespread alterations in cortical functional connectivity, with resulting shifts in cortical network topology.

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Section: Discussionmentioning

confidence: 99%

Modulation of EEG Functional Connectivity Networks in Subjects Undergoing Repetitive Transcranial Magnetic Stimulation

et al. 2013

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“…One example includes the concept of "frequency gating": in a recent study of the primary sensorimotor network, isometric contraction of the forearm showed dominant coupling within the β-band (13-30 Hz) between the primary motor cortex (M1) and the supplementary motor area (SMA), whereas fast repetitive finger movements were characterized by strong coupling within the γ-band (31-48 Hz), mainly seen in connections from lateral premotor cortex to SMA and to M1. All three structures (M1, SMA, and lateral premotor cortex) are components of the "same" sensorimotor network, yet they were activated to a different degree and "connected" differently in different motor tasks with these variations in connectivity potentially gated by varying their underlying firing frequency (7). Another example includes a tremendous body of work illustrating how complex behavior is truly the result of the interactions among various brain regions, rather than the activation of any single area (8).…”

Section: Commentarymentioning

confidence: 99%

The Role of Semiology in the Work-Up of Frontal Lobe Epilepsy: In the Eye of the Beholder

Jehi¹

2014

Epilepsy Curr

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In Clinical Science Commentary The most fundamental basis of the study of epilepsy relies on a solid and accurate understanding of two concepts: the central neuronal networks that govern human behavior and the brain's anatomy that provides the structural framework for various patterns of connectivity. A thorough analysis of a seizure's semiology is therefore an essential foundation in the attempt to localize and define a patient's epilepsy because it provides a unique and precious opportunity to appreciate this critical and dynamic duo of function and anatomy as it pertains to an individual clinical scenario. While this is a self-evident fact, it is often overlooked in the current era of "high-tech"-expensive neuroimaging and diagnostic tests that overshadow the current conduct of presurgical work-ups for intractable epilepsy. This commentary will use a growing body of literature-in

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“…In addition, the gamma band has been shown to correlate with the firing activities of neurons representing neural information (Ray et al, 2008; Quian Quiroga and Panzeri, 2009). These frequency bands compose task-specific spatial connectivity patterns in movement related neural networks such as those involving the M1, premotor cortex (PMC), and supplementary motor area (SMA; Herz et al, 2012). Among these frequency bands, recently, functional connectivity within the range of alpha band between the sensorimotor area and motor association area was shown to be relevant to post-stroke recovery potential (Westlake et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

Sugata

Hirata

Yanagisawa

et al. 2014

Front. Hum. Neurosci.

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Brain signals recorded from the primary motor cortex (M1) are known to serve a significant role in coding the information brain–machine interfaces (BMIs) need to perform real and imagined movements, and also to form several functional networks with motor association areas. However, whether functional networks between M1 and other brain regions, such as these motor association areas, are related to the performance of BMIs is unclear. To examine the relationship between functional connectivity and performance of BMIs, we analyzed the correlation coefficient between performance of neural decoding and functional connectivity over the whole brain using magnetoencephalography. Ten healthy participants were instructed to execute or imagine three simple right upper limb movements. To decode the movement type, we extracted 40 virtual channels in the left M1 via the beam forming approach, and used them as a decoding feature. In addition, seed-based functional connectivities of activities in the alpha band during real and imagined movements were calculated using imaginary coherence. Seed voxels were set as the same virtual channels in M1. After calculating the imaginary coherence in individuals, the correlation coefficient between decoding accuracy and strength of imaginary coherence was calculated over the whole brain. The significant correlations were distributed mainly to motor association areas for both real and imagined movements. These regions largely overlapped with brain regions that had significant connectivity to M1. Our results suggest that use of the strength of functional connectivity between M1 and motor association areas has the potential to improve the performance of BMIs to perform real and imagined movements.

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Task-specific modulation of effective connectivity during two simple unimanual motor tasks: A 122-channel EEG study

Cited by 50 publications

References 52 publications

Modulation of EEG Functional Connectivity Networks in Subjects Undergoing Repetitive Transcranial Magnetic Stimulation

Modulation of EEG Functional Connectivity Networks in Subjects Undergoing Repetitive Transcranial Magnetic Stimulation

The Role of Semiology in the Work-Up of Frontal Lobe Epilepsy: In the Eye of the Beholder

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

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