Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-Based Graph Convolutional Network

The title of this paper is “Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-based Graph Convolutional Network,” published in the journal “Medical & Biological Engineering & Computing,” volume 62, pages 2133-2144, in 2024. This paper proposes a multiple functional connectivity-based graph convolutional network (mfc-...

Epilepsy Surgery for Dominant-Side Mesial Temporal Lobe Epilepsy without Hippocampal Sclerosis

Evaluation of Efficacy of Epilepsy Surgery for Dominant Mesial Temporal Lobe Epilepsy without Hippocampal Sclerosis Original Research | Journal of Clinical Neuroscience 111 (2023) 16-21 Introduction Approximately 0.5%-1% of the global population suffers from epilepsy (Fiest et al. 2017), with about 30% of these patients being refractory to medicati...

Functional Connectivity Changes in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies

Changes in Functional Connectivity in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies Background and Objectives Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by memory loss and cognitive impairment. AD is the leading cause of cognitive disorders in the elderly, accounting for approximately 60% to 80% of global c...

Pupillometry Reveals Resting State Alpha Power Correlates with Individual Differences in Adult Auditory Language Comprehension

Study on the Correlation between Adult Auditory Language Comprehension and Resting-State Alpha Wave Power Academic Background and Research Question Although individual differences in adult language processing have been documented in literature, the neural basis largely remains to be explored. Existing research primarily focuses on how general cogni...

Bridging Stories and Science: An fNIRS-based Hyperscanning Investigation into Child Learning in STEM

Bridging Stories and Science: An fNIRS-based Hyperscanning Investigation into Child Learning in STEM

Academic News Report In Volume 285 of “Neuroimage” (2024), there is a published article entitled “Bridging Stories and Science: An fNIRS-Based Hyperscanning Investigation into Child Learning in STEM”. This article was co-authored by Juan Zhang and others, with the research team hailing from the Faculty of Education, Faculty of Health Sciences, and ...

Investigation of the Impact of Cross-Frequency Coupling on the Assessment of Depression Severity through the Analysis of Resting State EEG Signals

Background Depression, particularly Major Depressive Disorder (MDD), is a widespread and debilitating psychological disease often described as the “common cold” of mental health. Many people with MDD experience symptoms such as persistent sadness, hopelessness, cognitive impairment, and loss of motivation for daily activities, severely affecting pe...

Spatiotemporal Responses to Emotional Conflict and Its Psychiatric Correlates in Adolescents with Epilepsy Using Magnetoencephalography

Spatiotemporal Responses to Emotional Conflict and Its Psychiatric Correlates in Adolescents with Epilepsy Using Magnetoencephalography

Spatio-Temporal Responses of Emotional Conflict and Psychiatric Correlation in Adolescent Epilepsy Patients Research Background Epilepsy patients often experience comorbid mental disorders such as depression and anxiety, which negatively impact their quality of life. Emotional regulation is a critical cognitive process that is frequently impaired i...

Heuristics in Risky Decision-Making Relate to Preferential Representation of Information

Paper Title: heuristics in risky decision-making relate to preferential representation of information Research Background When making choices, individuals not only differ from each other but also deviate from normative theoretical recommendations. One explanation for this difference is that individuals have unique information representation prefere...

Negation Mitigates Rather Than Inverts the Neural Representations of Adjectives

Background Introduction A notable characteristic of human language processing is our ability to combine stored lexical elements, i.e., words, as needed to flexibly generate or alter current meanings. At the core of this process is how we construct semantic representations in real time. Although research on the generation of syntactic structures has...

Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language

Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language

Phase-Dependent Language Perception in Neural Oscillations: An Interdisciplinary Study Report Background During speech perception, the phase of neural oscillations plays a crucial role in the separation of neural representations and perceptual decisions. However, the specific phase-encoding mechanisms remain unclear. This study aims to reveal how p...