Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification

Zhu, Hao; Jun, Wang; Zhao, Yin-Ping; Lu, Minhua

doi:10.1109/tbme.2022.3232104

Cited by 9 publications

(4 citation statements)

References 38 publications

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“…For the selected features, a non-parametric Wilcoxon sign rank test for paired samples with the False Discovery Rate (FDR) correction for multiple comparisons was performed. As in previous work on HIOs [22][23][24][25][26] , the statistical correction was not directly assessed for each HOI given the non-selective data approach, including all interactions 45 . Conversely, we used Cohen's D to report the effect size of HOI 22,24,25 as p-values can be arti cially in ated.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…An innovative and robust approach to probe into these effects in low-density setups encompasses brain high-order interactions (HOI) 21 . Three salient features made HOI critically relevant [22][23][24][25][26] . First, as opposed to standard event-related potentials (ERP), oscillations, and connectivity metrics, HOI can compute all possible interactions between signals (here, electrodes).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, leveraging HOI provides a unique and novel improvement to understanding brain dynamics using low-density arrays, which usually reduce data's granularity. Second, HOI effectively captures the global dynamics of brain organization [22][23][24][25][26] , a critical component of different consciousness states (disorder of consciousness, anesthesia, transitions, and conscious access [27][28][29][30][31] ), making them ideal for elucidating the effects of pharmacology.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the evidence underscores HOI's superior robustness when compared to traditional connectivity metrics across various modalities, including fMRI and EEG, and across different brain conditions [23][24][25][26] . In brief, when combined with entropy measures and low-density EEG, HOI may constitute a crucial approach for assessing global dynamic changes induced by ketamine and other drugs used in clinical trials settings.…”

Section: Introductionmentioning

confidence: 99%

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High-order brain interactions in ketamine during rest and task: A double-blinded cross-over design using portable EEG

Ibanez,

Herzog,

Barbey

et al. 2024

Preprint

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Methods In a double-blinded cross-over design, 30 adults (mean age = 25.57, SD = 3.74; all male) were administered racemic ketamine and compared against saline infusion as a control. Both task-driven (auditory oddball paradigm) and resting-state EEG were recorded. HOI were computed using advanced multivariate information theory tools, allowing us to quantify nonlinear statistical dependencies between all possible electrode combinations. Results: Ketamine increased redundancy in brain dynamics, most significantly in the alpha frequency band. Redundancy was more evident during the resting state, associated with a shift in conscious states towards more dissociative tendencies. Furthermore, in the task-driven context (auditory oddball), the impact of ketamine on redundancy was more significant for predictable (standard stimuli) compared to deviant ones. Finally, associations were observed between ketamine's HOI and experiences of derealization. Conclusions: Ketamine appears to increase redundancy and genuine HOI across metrics, suggesting these effects correlate with consciousness alterations towards dissociation. HOI represents an innovative method to combine all signal spatial interactions obtained from low-density dry EEG in drug interventions, as it is the only approach that exploits all possible combinations from different electrodes. This research emphasizes the potential of complexity measures coupled with portable EEG devices in monitoring shifts in consciousness, especially when paired with low-density configurations, paving the way for better understanding and monitoring of pharmacological-induced changes.

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