The Neurocomputational link between Defensive Cardiac States and Approach-Avoidance Arbitration under Threat

The Neurocomputational link between Defensive Cardiac States and Approach-Avoidance Arbitration under Threat

Research Background Threat avoidance often comes at a cost, especially in situations involving threat-reward conflict, where avoiding threats might reduce the opportunity to gain potential rewards. In threat-reward conflicts, individuals need to balance the potential rewards and threat outcomes of their decisions to generate adaptive behavior. Howe...

Effects of a Single Night of Continuous Positive Airway Pressure on Spontaneous Brain Activity in Severe Obstructive Sleep Apnea

The Effect of Single-Night Continuous Positive Airway Pressure on Spontaneous Brain Activity in Patients with Severe Obstructive Sleep Apnea Research Background Obstructive sleep apnea (OSA) is a common chronic sleep-related breathing disorder characterized by partial or complete closure of the airway during sleep. This condition leads to repeated ...

k-emophone: a mobile and wearable dataset with in-situ emotion, stress, and attention labels

Scientific Data Report | K-emophone: A Mobile and Wearable Dataset with On-site Emotion, Stress, and Attention Labels Background With the proliferation of low-cost mobile and wearable sensors, numerous studies have leveraged these devices to track and analyze human mental health, productivity, and behavioral patterns. However, despite the developme...

Modulating the Difficulty of a Visual Oddball-like Task and P3m Amplitude

Modulation of P3m Amplitude by Task Difficulty in a Visual Oddball Task Background In cognitive neuroscience research, Event-Related Potentials (ERP) and Event-Related Fields (ERF) are important means to explore the cognitive processing mechanisms of the brain. Among these, the P3 component (referred to as P3m in magnetoencephalography) has garnere...

Physiological Data for Affective Computing: The Affect-HRI Dataset

Application of Physiological Data in Human-Robot Interaction with Anthropomorphic Service Robots: Affect-HRI Dataset Background and Significance In interactions between humans and humans, as well as humans and robots, the interacting entity can influence human emotional states. Unlike humans, robots inherently cannot exhibit empathy and thus cannot...

Speech-Induced Suppression During Natural Dialogues

During human communication, the brain processes self-generated speech and others’ speech differently, a phenomenon known as the Speech-Induced Suppression (SIS) mechanism. This mechanism involves the motor efference copy in the perception pathway, functioning similar to an “echo” that helps filter internally generated signals to avoid confusing the...

An EEG Study on Artistic and Engineering Mindsets in Students in Creative Processes

A Study on EEG Activities in Artistic and Engineering Thinking during the Creative Process Background and Research Motivation Creativity is universally regarded as the ability to imagine new and valuable things. Researchers have identified two types of creative thinking: growth mindset and fixed mindset. Growth mindset creativity can improve skills...

Analysis of Reading-Task-Based Brain Connectivity in Dyslexic Children Using EEG Signals

Brain Connectivity Analysis Based on Reading Tasks in Children with Dyslexia (Using EEG Signals) Dyslexia is a neurodevelopmental disorder that affects the normal reading ability, even though children with normal intelligence may still be affected. This paper investigates the differences in brain connectivity between children with dyslexia and norm...

Potential Biomarker for Early Detection of ADHD Using Phase-Based Brain Connectivity and Graph Theory

Research Report on Potential Biomarkers for Early Detection of ADHD: Phase-Based Functional Brain Connectivity and Graph Theory Analysis This is a research report titled “Potential Biomarkers for Early Detection of ADHD: Using Phase-Based Functional Brain Connectivity and Graph Theory Analysis”. This study was conducted by Farhad Abedinzadeh Torgha...

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-...