Interpreting and validating complexity and causality in lesion-symptom prognoses
This paper considers the steps needed to generate pragmatic and interpretable lesion-
symptom map**s that can be used for clinically reliable prognoses. The novel …
symptom map**s that can be used for clinically reliable prognoses. The novel …
Application of deep learning in fMRI-based human brain parcellation: a review
Functional magnetic resonance imaging (fMRI)-based human brain parcellation reveals
brain fundamental organizational principles noninvasively, providing prior guidance for …
brain fundamental organizational principles noninvasively, providing prior guidance for …
Lack of reproducibility of resting-state functional MRI findings in migraine with aura
Background Several studies have applied resting-state functional MRI to examine whether
functional brain connectivity is altered in migraine with aura patients. These studies had …
functional brain connectivity is altered in migraine with aura patients. These studies had …
Beyond Increasing Sample Sizes: Optimizing Effect Sizes in Neuroimaging Research on Individual Differences
Linking neurobiology to relatively stable individual differences in cognition, emotion,
motivation, and behavior can require large sample sizes to yield replicable results. Given the …
motivation, and behavior can require large sample sizes to yield replicable results. Given the …
[HTML][HTML] Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia
Background and hypothesis Treatment-resistant schizophrenia (TR-SZ) and non-treatment-
resistant schizophrenia (NTR-SZ) lack specific biomarkers to distinguish from each other …
resistant schizophrenia (NTR-SZ) lack specific biomarkers to distinguish from each other …
A Statistical Characterization of Dynamic Brain Functional Connectivity
WW Chow, AK Seghouane… - Human Brain Map**, 2025 - Wiley Online Library
This study examined the statistical underpinnings of dynamic functional connectivity in
mental disorders, using resting‐state fMRI signals. Notably, there has been an absence of …
mental disorders, using resting‐state fMRI signals. Notably, there has been an absence of …
Identifying ADHD‐Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network
Y Hu, J Ran, R Qiao, J Xu, C Tan, L Hu… - Neural Plasticity, 2024 - Wiley Online Library
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder
that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms …
that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms …
fMRI-based spatio-temporal parcellations of the human brain
While recent methodological advancements have significantly enhanced our grasp of the
brain's spatial and temporal dynamics, challenges persist in advancing fMRI-based spatio …
brain's spatial and temporal dynamics, challenges persist in advancing fMRI-based spatio …
The elusive metric of lesion load
ML Seghier - Brain Structure and Function, 2023 - Springer
One of the widely used metrics in lesion-symptom map** is lesion load that codes the
amount of damage to a given brain region of interest. Lesion load aims to reduce the …
amount of damage to a given brain region of interest. Lesion load aims to reduce the …
Hexa-Net framework: A fresh ADHD-specific model for identifying ADHD based on integrating brain atlases
DA Al-Ubaidi, AA Samah, M Jasim - International Conference on …, 2023 - Springer
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a frequent neurodevelopmental
disorder affecting children and adults, which is routinely diagnosed based on subjective …
disorder affecting children and adults, which is routinely diagnosed based on subjective …