Modulation of brain criticality via suppression of EEG long-range temporal correlations (LRTCs) in a closed-loop neurofeedback stimulation

Dimitriadis, Stavros I.; Linden, David Edmund Johannes

doi:10.1016/j.clinph.2016.05.359

Cited by 6 publications

(3 citation statements)

References 80 publications

(76 reference statements)

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“…The apparent discrepancy between information about movement preparation, contained in the power spectrum-based ERD and our characterisation of autocorrelation relaxation trend, suggests some form of non-stationarity of the underlying processes. According to the studies reported in [ 65 , 66 ], changes were observed in temporal dependencies in the brain activity in the 3-40Hz frequency range with the most significant change in the α band during neurofeedback despite no changes in the power spectrum. Thus, they suggested that neuronal circuits were more capable of reorganising the temporal dynamics than the magnitudes of the brain activity.…”

Section: Discussionmentioning

confidence: 99%

Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

2018

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Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with the environment. The aim of this paper is to investigate the temporal dynamics of brain processes using electroencephalography (EEG) to explore novel neural correlates of motion intention. We investigate the changes in temporal dependencies of the EEG by characterising the decay of autocorrelation during asynchronous voluntary finger tapping movement. The evolution of the autocorrelation function is characterised by its relaxation time, which is used as a robust marker for motion intention. We observed that there was reorganisation of temporal dependencies in EEG during motion intention. The autocorrelation decayed slower during movement intention and faster during the resting state. There was an increase in temporal dependence during movement intention. The relaxation time of the autocorrelation function showed significant (p < 0.05) discrimination between movement and resting state with the mean sensitivity of 78.37 ± 8.83%. The relaxation time provides movement related information that is complementary to the well-known event-related desynchronisation (ERD) by characterising the broad band EEG dynamics which is frequency independent in contrast to ERD. It can also detect motion intention on average 0.51s before the actual movement onset. We have thoroughly compared autocorrelation relaxation time features with ERD in four frequency bands. The relaxation time may therefore, complement the well-known features used in motion-based BCI leading to more robust and intuitive BCI solutions. The results obtained suggest that changes in autocorrelation decay may involve reorganisation of temporal dependencies of brain activity over longer duration during motion intention. This opens the possibilities of investigating further the temporal dynamics of fundamental neural processes underpinning motion intention.

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Section: Discussionmentioning

confidence: 99%

Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

2018

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“…All the studies lend considerable credence to the argument that an intrinsic part of the mechanism of neural information processing is the scale-free temporal correlation [44]. Various studies have revealed long-range temporal correlations in the neural oscillations of the normal human brain reflecting a memory of the underlying dynamics [42,80,87]. In the present study, we have used the non-invasively recorded sABR to examine whether such scaling behavior occurs in the subcortical auditory structure.…”

Section: Discussionmentioning

confidence: 78%

Long-range temporal correlation in Auditory Brainstem Responses to Spoken Syllable/da/

Mozaffarilegha

Movahed

2019

Sci Rep

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The speech auditory brainstem response (sABR) is an objective clinical tool to diagnose particular impairments along the auditory brainstem pathways. We explore the scaling behavior of the brainstem in response to synthetic /da/ stimuli using a proposed pipeline including Multifractal Detrended Moving Average Analysis (MFDMA) modified by Singular Value Decomposition. The scaling exponent confirms that all normal sABR are classified into the non-stationary process. The average Hurst exponent is H = 0:77 ± 0:12 at 68% confidence interval indicating long-range correlation which shows the first universality behavior of sABR. Our findings exhibit that fluctuations in the sABR series are dictated by a mechanism associated with long-term memory of the dynamic of the auditory system in the brainstem level. The q-dependency of h(q) demonstrates that underlying data sets have multifractal nature revealing the second universality behavior of the normal sABR samples. Comparing Hurst exponent of original sABR with the results of the corresponding shuffled and surrogate series, we conclude that its multifractality is almost due to the long-range temporal correlations which are devoted to the third universality. Finally, the presence of long-range correlation which is related to the slow timescales in the subcortical level and integration of information in the brainstem network is confirmed.

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“…A randomized controlled trial with a modified NFB protocol, focused on participant individual alpha band should be performed to confirm the efficiency of the therapy. The analysis of non-oscillatory, scale-free cortical activity (e.g., fractals, long range temporal correlations (Dimitriadis and Linden, 2016;Kesiae and Spasiae, 2016) should confirm whether NFB bring the neural system in the state of self-organizing criticality Hernandez-Urbina and Michael which is considered a state of homeostatic set-point (Ros et al, 2014). A study in controlled conditions would also provide an opportunity to regularly test the mental states at the time of NFB (STAI form Y1-Y2 , BDI-II and workload (NTLI NASA, 1986) as it might affect both participants ability to modulate their brain waves and to perceive the benefit of the therapy.…”

Section: Discussionmentioning

confidence: 99%

Neuromodulatory Interventions for Pain

2022

Frontiers Research Topics

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Modulation of brain criticality via suppression of EEG long-range temporal correlations (LRTCs) in a closed-loop neurofeedback stimulation

Cited by 6 publications

References 80 publications

Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

Long-range temporal correlation in Auditory Brainstem Responses to Spoken Syllable/da/

Neuromodulatory Interventions for Pain

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