Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network

Nemzer, Louis R.; Cravens, Gary D.; Worth, Robert M.; Motta, Francis C.; Placzek, Andon N.; Castro, Víctor M.; Lou, Jennie Q.

doi:10.3389/fncom.2020.583350

Cited by 8 publications

(5 citation statements)

References 31 publications

(33 reference statements)

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“…Small-world networks combine the topological advantages of regular and random networks, ensuring efficiency of information transfer at local and global levels ( Hu et al, 2015 ). Our findings indicate that the brain network of epilepsy patients has small-world properties, consistent with the results of previous studies ( Nemzer et al, 2020 ; Shigemoto et al, 2021 ). We also found no significant difference in small-world properties between epilepsy patients and healthy control individuals, thereby the small-world characteristics of the brain in epilepsy patients maintained, indicating that information transmitted between brain regions in epilepsy patients can occur through new optimal paths, reflecting the brain’s ability to separate and integrate information ( Zhu et al, 2021 ).…”

Section: Discussionsupporting

confidence: 93%

Brain diffusion tensor imaging reveals altered connections and networks in epilepsy patients

Wang

Cheng²,

Shi³

et al. 2023

Front. Hum. Neurosci.

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IntroductionAccumulating evidence shows that epilepsy is a disease caused by brain network dysfunction. This study explored changes in brain network structure in epilepsy patients based on graph analysis of diffusion tensor imaging data.MethodsThe brain structure networks of 42 healthy control individuals and 26 epilepsy patients were constructed. Using graph theory analysis, global and local network topology parameters of the brain structure network were calculated, and changes in global and local characteristics of the brain network in epilepsy patients were quantitatively analyzed.ResultsCompared with the healthy control group, the epilepsy patient group showed lower global efficiency, local efficiency, clustering coefficient, and a longer shortest path length. Both healthy control individuals and epilepsy patients showed small-world attributes, with no significant difference between groups. The epilepsy patient group showed lower nodal local efficiency and nodal clustering coefficient in the right olfactory cortex and right rectus and lower nodal degree centrality in the right olfactory cortex and the left paracentral lobular compared with the healthy control group. In addition, the epilepsy patient group showed a smaller fiber number of edges in specific regions of the frontal lobe, temporal lobe, and default mode network, indicating reduced connection strength.DiscussionEpilepsy patients exhibited lower global and local brain network properties as well as reduced white matter fiber connectivity in key brain regions. These findings further support the idea that epilepsy is a brain network disorder.

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Section: Discussionsupporting

confidence: 93%

Brain diffusion tensor imaging reveals altered connections and networks in epilepsy patients

Wang

Cheng²,

Shi³

et al. 2023

Front. Hum. Neurosci.

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“…These changes are reflective of an abnormal topology network in these patients (Hermann et al, 2021). Its significance mainly indicates that the information conversion and transmission capability among brain nodes decreases, the tightness of local network connections decreases, and the networks' balance of functional integration and differentiation is damaged (Nemzer et al, 2020;Shigemoto et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Altered brain networks and connections in chronic heart failure patients complicated with cognitive impairment

Wang

Hou

et al. 2023

Front. Aging Neurosci.

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ObjectiveAccumulating evidence shows that cognitive impairment (CI) in chronic heart failure (CHF) patients is related to brain network dysfunction. This study investigated brain network structure and rich-club organization in chronic heart failure patients with cognitive impairment based on graph analysis of diffusion tensor imaging data.MethodsThe brain structure networks of 30 CHF patients without CI and 30 CHF patients with CI were constructed. Using graph theory analysis and rich-club analysis, changes in global and local characteristics of the subjects’ brain network and rich-club organization were quantitatively calculated, and the correlation with cognitive function was analyzed.ResultsCompared to the CHF patients in the group without CI group, the CHF patients in the group with CI group had lower global efficiency, local efficiency, clustering coefficient, the small-world attribute, and increased shortest path length. The CHF patients with CI group showed lower nodal degree centrality in the fusiform gyrus on the right (FFG.R) and nodal efficiency in the orbital superior frontal gyrus on the left (ORB sup. L), the orbital inferior frontal gyrus on the left (ORB inf. L), and the posterior cingulate gyrus on the right (PCG.R) compared with CHF patients without CI group. The CHF patients with CI group showed a smaller fiber number of edges in specific regions. In CHF patients with CI, global efficiency, local efficiency and the connected edge of the orbital superior frontal gyrus on the right (ORB sup. R) to the orbital middle frontal gyrus on the right (ORB mid. R) were positively correlated with Visuospatial/Executive function. The connected edge of the orbital superior frontal gyrus on the right to the orbital inferior frontal gyrus on the right (ORB inf. R) is positively correlated to attention/calculation. Compared with the CHF patients without CI group, the connection strength of feeder connection and local connection in CHF patients with CI group was significantly reduced, although the strength of rich-club connection in CHF patients complicated with CI group was decreased compared with the control, there was no statistical difference. In addition, the rich-club connection strength was related to the orientation (direction force) of the Montreal cognitive assessment (MoCA) scale, and the feeder and local connection strength was related to Visuospatial/Executive function of MoCA scale in the CHF patients with CI.ConclusionChronic heart failure patients with CI exhibited lower global and local brain network properties, reduced white matter fiber connectivity, as well as a decreased strength in local and feeder connections in key brain regions. The disrupted brain network characteristics and connectivity was associated with cognitive impairment in CHF patients. Our findings suggest that impaired brain network properties and decreased connectivity, a feature of progressive disruption of brain networks, predict the development of cognitive impairment in patients with chronic heart failure.

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“…Investigation of the link between behavior of biological organisms and dynamic system theory has recently become a widely investigated topic of interest (Ros et al, 2014;Zimmern, 2020;Burrows et al, 2021;Nemzer et al, 2021). Its outcomes bring many valuable papers integrating concepts from neuroscience, physics and information theory (Stam, 2005).…”

Section: Post-covid-19 Neurological Complications From the Perspectiv...mentioning

confidence: 99%

Possible Mechanisms Underlying Neurological Post-COVID Symptoms and Neurofeedback as a Potential Therapy

Orendáčová

Kvašňák

2022

Front. Hum. Neurosci.

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Theoretical considerations related to neurological post-COVID complications have become a serious issue in the COVID pandemic. We propose 3 theoretical hypotheses related to neurological post-COVID complications. First, pathophysiological processes responsible for long-term neurological complications caused by COVID-19 might have 2 phases: (1) Phase of acute Sars-CoV-2 infection linked with the pathogenesis responsible for the onset of COVID-19-related neurological complications and (2) the phase of post-acute Sars-CoV-2 infection linked with the pathogenesis responsible for long-lasting persistence of post-COVID neurological problems and/or exacerbation of another neurological pathologies. Second, post-COVID symptoms can be described and investigated from the perspective of dynamical system theory exploiting its fundamental concepts such as system parameters, attractors and criticality. Thirdly, neurofeedback may represent a promising therapy for neurological post-COVID complications. Based on the current knowledge related to neurofeedback and what is already known about neurological complications linked to acute COVID-19 and post-acute COVID-19 conditions, we propose that neurofeedback modalities, such as functional magnetic resonance-based neurofeedback, quantitative EEG-based neurofeedback, Othmer’s method of rewarding individual optimal EEG frequency and heart rate variability-based biofeedback, represent a potential therapy for improvement of post-COVID symptoms.

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Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network

Cited by 8 publications

References 31 publications

Brain diffusion tensor imaging reveals altered connections and networks in epilepsy patients

Brain diffusion tensor imaging reveals altered connections and networks in epilepsy patients

Altered brain networks and connections in chronic heart failure patients complicated with cognitive impairment

Possible Mechanisms Underlying Neurological Post-COVID Symptoms and Neurofeedback as a Potential Therapy

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