Disentangling disorder-specific variation is key for precision psychiatry in autism-Reference-Cited by-同舟云学术

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Disentangling disorder-specific variation is key for precision psychiatry in autism

Published:2023-03-21 Issue: Volume:17 Page:
ISSN:1662-5153
Container-title:Frontiers in Behavioral Neuroscience
language:
Short-container-title:Front. Behav. Neurosci.

Author:

Aglinskas Aidas,Schwartz Emily,Anzellotti Stefano

Funder

Simons Foundation Autism Research Initiative

Boston College

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Cognitive Neuroscience,Neuropsychology and Physiological Psychology

Reference46 articles.

1. Contrastive machine learning reveals the structure of neuroanatomical variation within autism;Aglinskas;Science,2022

2. “Towards autism subtype detection through identification of discriminatory factors using machine learning,”;Akter;Brain Informatics: 14th International Conference, BI 2021,2021

3. Classification and detection of autism spectrum disorder based on deep learning algorithms;Alsaade;Comput. Intell. Neurosci.,2022

4. Rational quantitative attribution of beliefs, desires and percepts in human mentalizing;Baker;Nat. Human Behav.,2017

Cited by 1 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. The future of disentangling the heterogeneity of autism with neuroimaging studies;Biological Psychiatry;2024-08

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