Source-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy

Hatlestad-Hall, Christoffer; Bruña, Ricardo; Syvertsen, Marte; Erichsen, Aksel; Andersson, Vebjørn; Vecchio, Fabrizio; Miraglia, Francesca; Rossini, Paolo Maria; Renvall, Hanna; Taubøll, Erik; Maestú, Fernando; Haraldsen, Ira

doi:10.1016/j.clinph.2021.04.008

Cited by 24 publications

(14 citation statements)

References 104 publications

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“…In this study, graph theory revealed that SWI in drug-resistant TLE increased from beta frequency and had a markedly high level in gamma frequency. A recent study also found that in patients with focal epilepsy, SWI tended to increase in gamma frequency (30-45Hz) (Hatlestad-Hall et al, 2021).…”

Section: Discussionmentioning

confidence: 83%

Gamma network topology and pathological changes in drug-resistant temporal lobe epilepsy with cognitive deficits

Lin

Liu

et al. 2022

Preprint

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Temporal lobe epilepsy (TLE) is the most common form of adult epilepsy, frequently accompanied with cognitive deficits. The present study aims to investigate functional network alterations affected by cognitive impairments in drug-resistant TLE. Patients with drug-resistant TLE were divided into normal cognition (NC) and abnormal cognition (AC) groups based on their primary medical history and completed the Wechsler intelligence scale. Thirty-one patients in the NC group and 30 in the AC group had mean intelligence quotients (IQ) of 107 (96-137) and 71 (60-85), respectively. Eighteen controls were enrolled in the study. Graph theory analysis showed decreased alpha small world index (SWI) in the AC group compared to that in the NC group and controls. Increased SWI in the fast rhythm was observed in both TLE groups compared with controls. But the gamma SWI in the AC group declined and was significantly lower than in the NC group at 50–70 Hz. A lower IQ is associated with a decreased SWI in alpha and 50-70Hz. Spectral analysis revealed reduced alpha power and increased delta power in the TLE groups compared to the controls. Immunofluorescence analysis revealed more severe amyloid-β (Aβ) and phosphorylated Tau (p-Tau) loads in the resected hippocampus of the AC group than that of NC group. Cognitive deficits in drug-resistant TLE are associated with general EEG activity slowing, loss of efficiency in gamma connectivity, and increased Aβ and p-Tau expression. These alterations are potential markers and intervention targets for concomitant cognitive decline in drug-resistant epilepsy.

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Section: Discussionmentioning

confidence: 83%

Gamma network topology and pathological changes in drug-resistant temporal lobe epilepsy with cognitive deficits

Lin

Liu

et al. 2022

Preprint

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“…Here, we give a condensed summary of the EEG preprocessing and subsequent calculation of source‐space functional connectivity. For a comprehensive account of the procedures, the reader is referred to Hatlestad‐Hall et al (2021).…”

Section: Methodsmentioning

confidence: 99%

“…The matrices were analyzed under a fixed density threshold of 65%, constrained by the requirement of the matrices to remain fully connected. As no basis exists on which to define an ecologically valid threshold level (Fornito et al, 2012;van Wijk et al, 2010), the 65% threshold was selected as it was previously demonstrated to maximize the group difference in graph metrics in FE (Hatlestad-Hall et al, 2021). To implement this, we first computed the minimum spanning tree (MST; Stam et al, 2014;Tewarie et al, 2015) of the inverse functional connectivity matrix, and then added edges to the MST backbone incrementally by descending weight order until the density threshold was reached.…”

Section: Network Analysismentioning

confidence: 99%

“…a comprehensive account of the procedures, the reader is referred toHatlestad-Hall et al (2021).The EEG data were preprocessed, including downsampling to 512 Hz, band-pass filtering between 1 and 45 Hz, and cleaning for ocular and muscle activity, in MATLAB (ver. 2019b; The MathWorks, Inc.) with functions from EEGLAB (ver.2019.1, RRID:SCR_007292;Delorme & Makeig, 2004), ZapLine (from NoiseTools; de Cheveigné, 2020), Second Order Blind Identification (SOBI;Belouchrani et al, 1993), and ICLabel (Pion- Tonachini et al, 2019).…”

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confidence: 99%

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The organization of functional neurocognitive networks in focal epilepsy correlates with domain‐specific cognitive performance

Hatlestad-Hall

Bruña

Erichsen

et al. 2021

J of Neuroscience Research

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Understanding and diagnosing cognitive impairment in epilepsy remains a prominent challenge. New etiological models suggest that cognitive difficulties might not be directly linked to seizure activity, but are rather a manifestation of a broader brain pathology. Consequently, treating seizures is not sufficient to alleviate cognitive symptoms, highlighting the need for novel diagnostic tools. Here, we investigated whether the organization of three intrinsic, resting-state functional connectivity networks was correlated with domain-specific cognitive test performance. Using individualized

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“…Currently, graph measures are primarily applied to display the function of the central nervous system in clinical investigations [ 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ]. A few studies have investigated brain networks using graph measures during physical activity.…”

Section: Introductionmentioning

confidence: 99%

Modeling Brain Functional Connectivity Patterns during an Isometric Arm Force Exertion Task at Different Levels of Perceived Exertion: A Graph Theoretical Approach

et al. 2022

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The perception of physical exertion is the cognitive sensation of work demands associated with voluntary muscular actions. Measurements of exerted force are crucial for avoiding the risk of overexertion and understanding human physical capability. For this purpose, various physiological measures have been used; however, the state-of-the-art in-force exertion evaluation lacks assessments of underlying neurophysiological signals. The current study applied a graph theoretical approach to investigate the topological changes in the functional brain network induced by predefined force exertion levels for twelve female participants during an isometric arm task and rated their perceived physical comfort levels. The functional connectivity under predefined force exertion levels was assessed using the coherence method for 84 anatomical brain regions of interest at the electroencephalogram (EEG) source level. Then, graph measures were calculated to quantify the network topology for two frequency bands. The results showed that high-level force exertions are associated with brain networks characterized by more significant clustering coefficients (6%), greater modularity (5%), higher global efficiency (9%), and less distance synchronization (25%) under alpha coherence. This study on the neurophysiological basis of physical exertions with various force levels suggests that brain regions communicate and cooperate higher when muscle force exertions increase to meet the demands of physically challenging tasks.

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Source-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy

Cited by 24 publications

References 104 publications

Gamma network topology and pathological changes in drug-resistant temporal lobe epilepsy with cognitive deficits

Gamma network topology and pathological changes in drug-resistant temporal lobe epilepsy with cognitive deficits

The organization of functional neurocognitive networks in focal epilepsy correlates with domain‐specific cognitive performance

Modeling Brain Functional Connectivity Patterns during an Isometric Arm Force Exertion Task at Different Levels of Perceived Exertion: A Graph Theoretical Approach

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