Graph neural networks in network neuroscience

A Bessadok, MA Mahjoub… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Noninvasive medical neuroimaging has yielded many discoveries about the brain
connectivity. Several substantial techniques mapping morphological, structural and …

Artificial intelligence for brain diseases: A systematic review

A Segato, A Marzullo, F Calimeri, E De Momi - APL bioengineering, 2020 - pubs.aip.org
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

Braingnn: Interpretable brain graph neural network for fmri analysis

X Li, Y Zhou, N Dvornek, M Zhang, S Gao… - Medical Image …, 2021 - Elsevier
Understanding which brain regions are related to a specific neurological disorder or
cognitive stimuli has been an important area of neuroimaging research. We propose …

Quantifying deviations of brain structure and function in major depressive disorder across neuroimaging modalities

NR Winter, R Leenings, J Ernsting, K Sarink… - JAMA …, 2022 - jamanetwork.com
Importance Identifying neurobiological differences between patients with major depressive
disorder (MDD) and healthy individuals has been a mainstay of clinical neuroscience for …

Braingb: a benchmark for brain network analysis with graph neural networks

H Cui, W Dai, Y Zhu, X Kan, AAC Gu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …

A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder

NR Winter, J Blanke, R Leenings, J Ernsting… - JAMA …, 2024 - jamanetwork.com
Importance Biological psychiatry aims to understand mental disorders in terms of altered
neurobiological pathways. However, for one of the most prevalent and disabling mental …

A deep learning approach to predict autism spectrum disorder using multisite resting-state fMRI

FZ Subah, K Deb, PK Dhar, T Koshiba - Applied Sciences, 2021 - mdpi.com
Autism spectrum disorder (ASD) is a complex and degenerative neuro-developmental
disorder. Most of the existing methods utilize functional magnetic resonance imaging (fMRI) …

[HTML][HTML] Graph theory approach for the structural-functional brain connectome of depression

JY Yun, YK Kim - Progress in Neuro-Psychopharmacology and …, 2021 - Elsevier
To decipher the organizational styles of neural underpinning in major depressive disorder
(MDD), the current article reviewed recent neuroimaging studies (published during 2015 …

[HTML][HTML] Tourism research after the COVID-19 outbreak: Insights for more sustainable, local and smart cities

LA Casado-Aranda, J Sánchez-Fernández… - Sustainable Cities and …, 2021 - Elsevier
This paper presents the results of a bibliometric analysis of academic research dealing with
COVID-19 in the area of city destination development from 1 December 2019 to 31 March …

A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics

LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …