Deep reasoning neural network analysis to predict language deficits from psychometry‐driven DWI connectome of young children with persistent language concerns-Reference-Cited by-同舟云学术

Deep reasoning neural network analysis to predict language deficits from psychometry‐driven DWI connectome of young children with persistent language concerns

Published:2021-05-05 Issue:10 Volume:42 Page:3326-3338
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Jeong Jeong‐Won¹²³⁴^ORCID,Banerjee Soumyanil⁵,Lee Min‐Hee¹⁴,O'Hara Nolan³⁴,Behen Michael¹²⁴,Juhász Csaba¹²³⁴^ORCID,Dong Ming⁵

Affiliation:

1. Departments of Pediatrics Wayne State University Detroit Michigan USA

2. Neurology Wayne State University Detroit Michigan USA

3. Translational Neuroscience Program Wayne State University Detroit Michigan USA

4. Translational Imaging Laboratory Children's Hospital of Michigan Detroit Michigan USA

5. Computer Science Wayne State University Detroit Michigan USA

Funder

National Institute of Neurological Disorders and Stroke

National Science Foundation

National Institutes of Health

Universiteit Stellenbosch

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25437

Reference65 articles.

1. The evolutionary origin of the language areas in the human brain. A neuroanatomical perspective

2. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging

3. Development of information sharing in language neocortex in childhood-onset drug-resistant epilepsy

4. Co-localisation of abnormal brain structure and function in specific language impairment

5. Banerjee S Dong M Lee M. O'Hara N. B. Asano E. &Jeong J. W. (2020).Prediction of language impairment using deep relational reasoning.In IEEE 17th International Symposium on Biomedical Imaging (ISBI) pp.1680–1684.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantitative phenotyping of verbal and non-verbal cognitive impairment using diffusion-weighted MRI connectome: Preliminary study of the crowding effect in children with left hemispheric epilepsy;Epilepsy & Behavior;2024-11

2. Deep learning in neuroimaging of epilepsy;Clinical Neurology and Neurosurgery;2023-09

3. Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges;Applied Sciences;2023-02-10