Investigation of dynamic functional connectivity of the source reconstructed epileptiform discharges in focal epilepsy: A graph theory approach

Duma, Gian Marco; Danieli, Alberto; Vettorel, Airis; Antoniazzi, Lisa; Mento, Giovanni; Bonanni, Paolo

doi:10.1016/j.eplepsyres.2021.106745

Cited by 12 publications

(10 citation statements)

References 52 publications

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“…3 According to its first, mainly empirical conceptualization, which arose in the context of stereo-electroencephalographic presurgical assessment of focal epilepsy, the EN represents the set of brain regions involved in the primary organization of an individual's ictal discharge, and the ultimate target of surgical treatment. 4 From a broader perspective, network theory is applied in the context of epilepsy as a framework to describe, with different methodologies, the complex spatiotemporal organization of the EN activity (ictal and interictal), [5][6][7] as well as its overall clinical impact, which may include cognitive dysfunction. 8 The critical brain hypothesis may provide a further and complementary framework to describe complex brain network dynamics, with important applications for the study of neurological disorders.…”

Section: Introductionmentioning

confidence: 99%

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: A resting‐state hdEEG study

et al. 2023

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Objective: Large aperiodic bursts of activations named neuronal avalanches have been used to characterize whole-brain activity, as their presence typically relates to optimal dynamics. Epilepsy is characterized by alterations in large-scale brain network dynamics. Here we exploited neuronal avalanches to characterize differences in electroencephalography (EEG) basal activity, free from seizures and/or interictal spikes, between patients with temporal lobe epilepsy (TLE) and matched controls. Method:We defined neuronal avalanches as starting when the z-scored sourcereconstructed EEG signals crossed a specific threshold in any region and ending when all regions returned to baseline. This technique avoids data manipulation or assumptions of signal stationarity, focusing on the aperiodic, scale-free components of the signals. We computed individual avalanche transition matrices to track the probability of avalanche spreading across any two regions, compared them between patients and controls, and related them to memory performance in patients. Results:We observed a robust topography of significant edges clustering in regions functionally and structurally relevant for the TLE, such as the entorhinal cortex, the inferior parietal and fusiform area, the inferior temporal gyrus, and the anterior cingulate cortex. We detected a significant correlation between the centrality of the entorhinal cortex in the transition matrix and the long-term memory performance (delay recall Rey-Osterrieth Complex Figure Test). Significance: Our results show that the propagation patterns of large-scale neuronal avalanches are altered in TLE during the resting state, suggesting a potential diagnostic application in epilepsy. Furthermore, the relationship between specific patterns of propagation and memory performance support the neurophysiological relevance of neuronal avalanches.

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Section: Introductionmentioning

confidence: 99%

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: A resting‐state hdEEG study

et al. 2023

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“…We rejected an average of 16.43 ± 10.91 (SD) epochs due to spikes and 4.45 ± 2.91 (SD) due to artifacts. The previous mentioned preprocessing analysis pipeline has been applied by our group in previous studies investigating both task-related and resting state EEG activity (Duma et al, 2022; Duma, Di Bono, Mento, 2021). The data cleaning was performed using independent component analysis (Stone, 2002), implemented via the Infomax algorithm (Bell & Sejnowski, 1995) in EEGLAB.…”

Section: Methodsmentioning

confidence: 99%

“…According to the first, mainly empirical conceptualization, which rose in the context of stereo-electroencephalographic presurgical assessment of focal epilepsy, the EN represents the set of brain regions involved in the primary organization of an individual’s ictal discharge, and the ultimate target of surgical treatment (Bartolomei et al, 2017). On a broader perspective, network theory is applied in the context of epilepsy as a framework to describe, with different methodologies, the complex spatio-temporal organization of the EN activity (ictal and interictal) (Bernhardt et al, 2016; Duma et al, 2021), as well as its overall clinical impact, which may include cognitive and psychosocial dysfunction (Davis, Jirsa, & Schevon, 2021, Fadaie et al, 2021,).…”

Section: Introductionmentioning

confidence: 99%

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: a resting-state hdEEG study

Duma

Danieli

Mento

et al. 2022

Preprint

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Objective Large aperiodic bursts of activations named neuronal avalanches have been used to characterize whole-brain activity, as their presence typically relates to optimal dynamics. Epilepsy is characterized by alterations of large-scale brain network dynamics. Here, we exploited neuronal avalanches to characterize differences in the electroencephalography (EEG) basal activity, free from seizures and/or interictal spikes, between patients with temporal lobe epilepsy (TLE) and matched controls. Method We defined neuronal avalanches as starting when the z-scored source-reconstructed EEG signals crossed a specific threshold in any region and ending when all regions went back to baseline. This technique avoids data manipulation or assumptions of signal stationarity, focusing on the aperiodic, scale-free components of the signals. We computed individual avalanche transition matrices, to track the probability of avalanche spreading across any two regions, compared them between patients and controls, and related them to memory performance in patients. Results We observed a robust topography of significant edges clustering in regions functionally and structurally relevant for the TLE, such as the entorhinal cortex, the inferior parietal and fusiform area, the inferior temporal gyrus, and the anterior cingulate cortex. We detected a significant correlation between the centrality of the entorhinal cortex in the transition matrix and the long-term memory performance (delay recall Rey figure test). Significance Our results show that the propagation patterns of large-scale neuronal avalanches are altered in TLE during resting state, suggesting a potential diagnostic application in epilepsy. Furthermore, the relationship between specific patterns of propagation and memory performance supports the neurophysiological relevance of neuronal avalanches.

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“…In the last decades, understanding epilepsy as a network disease has proved successful in the conceptualization of its pathophysiology (Bartolomei et al, 2017; Corona et al, 2023). In particular, alterations of brain dynamics on the large-scale have been identified in several epilepsy types, and they are related both to clinical and neuropsychological outcomes (Courtiol et al, 2020; Duma et al, 2021). Amongst the epilepsy types, temporal lobe epilepsy (TLE) is the most frequent drug-resistant focal epilepsy.…”

Section: Introductionmentioning

confidence: 99%

Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification

Lopez,

Corsi,

Danieli

et al. 2024

Preprint

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Background Temporal lobe epilepsy (TLE) is characterized by alterations of brain dynamic at large scale associated with altered cognitive functioning. Interindividual variability of brain activity is a source of heterogeneity in this disorder. Here, we aimed at analyzing dynamical reconfiguration of brain activity, using the neural fingerprint approach, to delineate subject-specific characteristics and their cognitive correlates in TLE. Methods We collected 10 minutes of resting state electroencephalography (128 channels), free from epileptiform activity, from 68 TLE patients and 34 healthy controls. The functional network was defined by the spatio-temporal spreading, across cortical regions, of aperiodic bursts of activations (neuronal avalanches). This metric allowed encapsulating brain reconfiguration patterns into the avalanche transition matrix (ATM). We used a neural fingerprint approach to differentiate across controls and patients diagnosis, linking altered brain dynamic with cognitive outcome. Findings Patients′ brain dynamics were more stereotyped as compared to controls. The neural fingerprint using ATMs differentiated, in a data-driven fashion, patients with respect to healthy controls, being sensitive not only to the pathology but also to the subtype (unilateral vs. bilateral TLE). Notably, in unilateral TLE patients, a better memory performance was associated with a larger similarity of the brain dynamic configuration with controls. Interpretation TLE is characterized by reduced variability and more stereotyped brain dynamics, implicating widespread alterations across the brain. These alterations correlate with cognitive function in patients with unilateral TLE. This study underscores the utility of brain fingerprinting in elucidating disease-specific brain dynamics, offering novel metrics for personalized patient care.

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Investigation of dynamic functional connectivity of the source reconstructed epileptiform discharges in focal epilepsy: A graph theory approach

Cited by 12 publications

References 52 publications

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: A resting‐state hdEEG study

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: A resting‐state hdEEG study

Altered spreading of neuronal avalanches in temporal lobe epilepsy relates to cognitive performance: a resting-state hdEEG study

Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification

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