Naturalistic stimuli in affective neuroimaging: A review
H Saarimäki - Frontiers in human neuroscience, 2021 - frontiersin.org
Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong
emotions and allow brain imaging of emotions in close-to-real-life conditions. Emotions are …
emotions and allow brain imaging of emotions in close-to-real-life conditions. Emotions are …
[HTML][HTML] Convolutional attention neural network over graph structures for improving the performance of aspect-level sentiment analysis
Recently, aspect-level sentiment analysis methods using graph convolutional network
(GCN)-based structures with fairly good performance have been introduced. However …
(GCN)-based structures with fairly good performance have been introduced. However …
[HTML][HTML] Neural correlates of rumination in major depressive disorder: A brain network analysis
Patients with major depressive disorder (MDD) exhibit higher levels of rumination, ie,
repetitive thinking patterns and exaggerated focus on negative states. Rumination is known …
repetitive thinking patterns and exaggerated focus on negative states. Rumination is known …
[PDF][PDF] NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis in R.
AP Christensen - R J., 2018 - files.osf.io
This article introduces the NetworkToolbox package for R. Network analysis offers an
intuitive perspective on complex phenomena via models depicted by nodes (variables) and …
intuitive perspective on complex phenomena via models depicted by nodes (variables) and …
Detecting clusters/communities in social networks
Cohen's κ, a similarity measure for categorical data, has since been applied to problems in
the data mining field such as cluster analysis and network link prediction. In this paper, a …
the data mining field such as cluster analysis and network link prediction. In this paper, a …
Structural Stabilization of Clinically Oriented Oligomeric Proteins During their Transit through Synthetic Secretory Amyloids
JM Sánchez, H López‐Laguna, E Parladé… - Advanced …, 2024 - Wiley Online Library
Developing time‐sustained drug delivery systems is a main goal in innovative medicines.
Inspired by the architecture of secretory granules from the mammalian endocrine system it …
Inspired by the architecture of secretory granules from the mammalian endocrine system it …
The backbone symptoms of depression: a network analysis after the initial wave of the COVID-19 pandemic in Macao
Background The coronavirus disease 2019 (COVID-19) pandemic disrupted the working
lives of Macau residents, possibly leading to mental health issues such as depression. The …
lives of Macau residents, possibly leading to mental health issues such as depression. The …
The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for …
The large number of different analytical choices researchers use may be partly responsible
for the replication challenge in neuroimaging studies. For robustness analysis, knowledge of …
for the replication challenge in neuroimaging studies. For robustness analysis, knowledge of …
反刍思维的脑功能网络机制
林雯仪， 何昊， 关青 - 心理科学进展, 2022 - journal.psych.ac.cn
反刍思维是指个体在经历了消极生活事件后不由自主地反复思考该事件的产生原因,
经过和结果, 表现出负性自我参照加工, 消极情绪性以及持续性的特点. 采用脑功能网络分析方法 …
经过和结果, 表现出负性自我参照加工, 消极情绪性以及持续性的特点. 采用脑功能网络分析方法 …
Organization of the social cognition network predicts future depression and interpersonal impairment: a prospective family-based study
Deficits in social cognition and functioning are common in major depressive disorder (MDD).
Still, no study into the pathophysiology of MDD has examined the social cognition-related …
Still, no study into the pathophysiology of MDD has examined the social cognition-related …