[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review

F Zhang, A Daducci, Y He, S Schiavi, C Seguin… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging

HS Nogay, H Adeli - Reviews in the Neurosciences, 2020 - degruyter.com
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …

Applications of supervised machine learning in autism spectrum disorder research: a review

KK Hyde, MN Novack, N LaHaye… - Review Journal of …, 2019 - Springer
Autism spectrum disorder (ASD) research has yet to leverage “big data” on the same scale
as other fields; however, advancements in easy, affordable data collection and analysis may …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain mapping, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan

F Zhang, Y Wu, I Norton, L Rigolo, Y Rathi, N Makris… - Neuroimage, 2018 - Elsevier
This work presents an anatomically curated white matter atlas to enable consistent white
matter tract parcellation across different populations. Leveraging a well-established …

Deep white matter analysis (DeepWMA): fast and consistent tractography segmentation

F Zhang, SC Karayumak, N Hoffmann, Y Rathi… - Medical Image …, 2020 - Elsevier
White matter tract segmentation, ie identifying tractography fibers (streamline trajectories)
belonging to anatomically meaningful fiber tracts, is an essential step to enable tract …

Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation …

T Xue, F Zhang, C Zhang, Y Chen, Y Song… - Medical image …, 2023 - Elsevier
Diffusion MRI tractography is an advanced imaging technique that enables in vivo mapping
of the brain's white matter connections. White matter parcellation classifies tractography …

The original social network: white matter and social cognition

Y Wang, IR Olson - Trends in cognitive sciences, 2018 - cell.com
Social neuroscience has traditionally focused on the functionality of gray matter regions,
ignoring the critical role played by axonal fiber pathways in supporting complex social …

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 …

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Z Chen, B Hu, X Liu, B Becker, SB Eickhoff, K Miao… - BMC medicine, 2023 - Springer
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 …