Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders
C Yen, CL Lin, MC Chiang - Life, 2023 - mdpi.com
Neuroimaging has revolutionized our understanding of brain function and has become an
essential tool for researchers studying neurological disorders. Functional magnetic …
essential tool for researchers studying neurological disorders. Functional magnetic …
A review of heterogeneity in attention deficit/hyperactivity disorder (ADHD)
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that affects
approximately 8%–12% of children worldwide. Throughout an individual's lifetime, ADHD …
approximately 8%–12% of children worldwide. Throughout an individual's lifetime, ADHD …
White matter alterations in Attention-Deficit/Hyperactivity Disorder (ADHD): a systematic review of 129 diffusion imaging studies with meta-analysis
V Parlatini, T Itahashi, Y Lee, S Liu, TT Nguyen… - Molecular …, 2023 - nature.com
Aberrant anatomical brain connections in attention-deficit/hyperactivity disorder (ADHD) are
reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre …
reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre …
Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum …
BackgroundPeople with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum
disorder (ASD) have abnormalities in frontal, temporal, parietal and striato-thalamic …
disorder (ASD) have abnormalities in frontal, temporal, parietal and striato-thalamic …
Common genetic variation influencing human white matter microstructure
INTRODUCTION White matter in the human brain serves a critical role in organizing
distributed neural networks. Diffusion magnetic resonance imaging (dMRI) has enabled the …
distributed neural networks. Diffusion magnetic resonance imaging (dMRI) has enabled the …
The superior longitudinal fascicle: reconsidering the fronto-parietal neural network based on anatomy and function
R Nakajima, M Kinoshita, H Shinohara… - Brain imaging and …, 2020 - Springer
Due primarily to the extensive disposition of fibers and secondarily to the methodological
preferences of researchers, the superior longitudinal fasciculus (SLF) subdivisions have …
preferences of researchers, the superior longitudinal fasciculus (SLF) subdivisions have …
Toward precision medicine in ADHD
Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous
neurodevelopmental condition for which curative treatments are lacking. Whilst …
neurodevelopmental condition for which curative treatments are lacking. Whilst …
Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children
Several variables, for instance, inheritance and surroundings, influence the growth of
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …