The role of transient spectral ‘bursts’ in functional connectivity: A magnetoencephalography study

Seedat, Zelekha A.; Quinn, Andrew; Vidaurre, Diego; Liuzzi, Lucrezia; Gascoyne, Lauren E.; Hunt, Benjamin A. E.; O'Neill, George; Pakenham, Daisie O.; Mullinger, Karen J.; Morris, Peter G.; Woolrich, Mark W.; Brookes, Matthew J.

doi:10.1016/j.neuroimage.2020.116537

Cited by 68 publications

(115 citation statements)

References 40 publications

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“…Taken together, our results provide empirical evidence for transient synchrony of flexible networks during bursts, as was hypothesized in previous theoretical work ( Buzsáki and Draguhn, 2004;Singer, 1994). Only in the beta-band, the transient increase in FR is followed by reduced FR, in line with the "hold" (inhibitory) function of self-generated beta (Schmidt et al, 2019;Seedat et al, 2020).…”

Section: Bursts Indicate Transient Synchrony Of Flexible Cell-assembliessupporting

confidence: 55%

“…Low-gamma exhibited minimal FR before the burst and returned to average levels after. In the beta band, the pre-peak FR was higher and post-peak FR was lower than the mean, supporting an inhibitory effect (Schmidt et al, 2019;Seedat et al, 2020). High-gamma oscillations exhibited an increase in FR after the peak, likely due to maintenance of Pyramidal/ Interneuron Network Gamma (PING (Traub et al, 1999)) with population spikes.…”

Section: Bursts Indicate Transient Synchrony Of Flexible Cell-assembliesmentioning

confidence: 92%

“…Several lines of evidence relate the RSN to beta-bursts. First, spontaneous correlated oscillatory activity in beta (termed 'beta-connectome' (Seedat et al, 2020)) was reported in anatomical regions corresponding to RSN (Brookes et al, 2011;Hipp et al, 2012). A recent study derived this beta connectome from burst rate (Seedat et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…First, spontaneous correlated oscillatory activity in beta (termed 'beta-connectome' (Seedat et al, 2020)) was reported in anatomical regions corresponding to RSN (Brookes et al, 2011;Hipp et al, 2012). A recent study derived this beta connectome from burst rate (Seedat et al, 2020). Second, beta oscillations are dominant during resting state (Panagiotaropoulos et al, 2013) and bursts are responsible for virtually all beta-band power modulation (Feingold et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Spontaneous activity competes externally evoked responses in sensory cortex

Karvat

Alyahyay

Diester

2020

Preprint

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The activity state of neuronal populations is key to understanding information processing in the brain. Most of our knowledge about sensory processing and perception comes from studying local changes in firing rates and local field potentials (LFP) evoked by external stimuli. However, most of the cortical activity is generated intrinsically, can originate spontaneously in almost any cortical area, and spreads globally. The relationship between spontaneous activity and perception is largely unclear. Here we show that high levels of spontaneous activity in the beta-band (15-30 Hz) predict reduced detection, and that this influence can be overridden by stimulus-intensity adjustment. We found that vibrotactile stimulation of the forepaw of behaving rats evokes a robust modulation of event related field potentials and firing rates, reflected in power in low (3-10 Hz) and high (95-120 Hz) frequencies of the LFP, independent of detection. Only beta shows higher power prior and during undetected stimuli, and anti-correlates with firing rate. LFP oscillations in 15-120 Hz appear as short-high-power bursts, and by applying burst-rate detection algorithm in real-time, we found that changing the vibration amplitude according to beta-burst-rate can adjust beta's impact on detection bi-directionally. This result is supported by the finding that while in all bands bursts indicate transient synchronization of cell assemblies, only beta bursts are followed by a reduction in firing rate. Our results reveal that beta-bursts reflect increased spontaneous synchrony and predict reduced detection, suggesting a dynamic state that competes with the detection of external stimuli.

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Section: Bursts Indicate Transient Synchrony Of Flexible Cell-assembliessupporting

confidence: 55%

Section: Bursts Indicate Transient Synchrony Of Flexible Cell-assembliesmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spontaneous activity competes externally evoked responses in sensory cortex

Karvat

Alyahyay

Diester

2020

Preprint

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“…Recent studies suggest that event-related desynchronizations and synchronizations, such as PMBR, are driven by beta bursts (Little et al, 2019 ; Seedat et al, 2020 ; Wessel, 2020 ) which carry more information than the trial-averaged band oscillation. At the same time, a recent study suggested spatial differences between beta oscillations that reflect implicit and explicit learning (Jahani et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Brain Activity Reveals Multiple Motor-Learning Mechanisms in a Real-World Task

Haar

Faisal

2020

Front. Hum. Neurosci.

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Many recent studies found signatures of motor learning in neural beta oscillations (13–30 Hz), and specifically in the post-movement beta rebound (PMBR). All these studies were in controlled laboratory-tasks in which the task designed to induce the studied learning mechanism. Interestingly, these studies reported opposing dynamics of the PMBR magnitude over learning for the error-based and reward-based tasks (increase vs. decrease, respectively). Here, we explored the PMBR dynamics during real-world motor-skill-learning in a billiards task using mobile-brain-imaging. Our EEG recordings highlight the opposing dynamics of PMBR magnitudes (increase vs. decrease) between different subjects performing the same task. The groups of subjects, defined by their neural dynamics, also showed behavioral differences expected for different learning mechanisms. Our results suggest that when faced with the complexity of the real-world different subjects might use different learning mechanisms for the same complex task. We speculate that all subjects combine multi-modal mechanisms of learning, but different subjects have different predominant learning mechanisms.

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Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis

Sjøgård

Wens

Schependom

et al. 2020

Human Brain Mapping

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The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This magnetoencephalography (MEG) study investigates the impact of MS on brain resting-state functional connectivity (rsFC) and its relationship to disability and cognitive impairment. We investigated rsFC based on power envelope correlation within and between different frequency bands, in a large cohort of participants consisting of 99 MS patients and 47 healthy subjects. Correlations were investigated between rsFC and outcomes on disability, disease duration and 7 neuropsychological scores within each group, while stringently correcting for multiple comparisons and possible confounding factors. Specific dysconnections correlating with MS-induced physical disability and disease duration were found within the sensorimotor and language networks, respectively. Global network-level reductions in within-and cross-network rsFC were observed in the default-mode network. Healthy subjects and patients significantly differed in their scores on cognitive fatigue and verbal fluency. Healthy subjects and patients showed different correlation patterns between rsFC and cognitive fatigue or verbal fluency, both of which involved a shift in patients from the posterior default-mode network to the language network. Introducing electrophysiological rsFC in a regression model of verbal fluency and cognitive fatigue in MS patients significantly increased the explained variance compared to a regression limited to structural MRI markers (relative thalamic volume and lesion load). This MEG study demonstrates that MS induces distinct changes in the resting-state functional brain architecture that relate to disability, disease duration and specific cognitive functioning alterations. It highlights the potential value of electrophysiological intrinsic rsFC for monitoring the cognitive impairment in patients with MS.

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The role of transient spectral ‘bursts’ in functional connectivity: A magnetoencephalography study

Cited by 68 publications

References 40 publications

Spontaneous activity competes externally evoked responses in sensory cortex

Spontaneous activity competes externally evoked responses in sensory cortex

Brain Activity Reveals Multiple Motor-Learning Mechanisms in a Real-World Task

Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis

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