Big data approaches to decomposing heterogeneity across the autism spectrum

MV Lombardo, MC Lai, S Baron-Cohen - Molecular psychiatry, 2019 - nature.com
Autism is a diagnostic label based on behavior. While the diagnostic criteria attempt to
maximize clinical consensus, it also masks a wide degree of heterogeneity between and …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

A pivotal response treatment package for children with autism spectrum disorder: An RCT

GW Gengoux, DA Abrams, R Schuck, ME Millan… - …, 2019 - publications.aap.org
OBJECTIVES: Our aim was to conduct a randomized controlled trial to evaluate a pivotal
response treatment package (PRT-P) consisting of parent training and clinician-delivered in …

Making individual prognoses in psychiatry using neuroimaging and machine learning

RJ Janssen, J Mourão-Miranda, HG Schnack - … Cognitive Neuroscience and …, 2018 - Elsevier
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …

Quantifying performance of machine learning methods for neuroimaging data

L Jollans, R Boyle, E Artiges, T Banaschewski… - NeuroImage, 2019 - Elsevier
Abstract Machine learning is increasingly being applied to neuroimaging data. However,
most machine learning algorithms have not been designed to accommodate neuroimaging …

[图书][B] Encyclopedia of autism spectrum disorders

FR Volkmar - 2021 - Springer
FR Volkmar (ed.), Encyclopedia of Autism Spectrum Disorders, https://doi. org/10.1007/978-
3-319-91280-6 home that may be poisonous. Both at home and school, the Poison Control …

Neurodiversity

N Chown - Encyclopedia of Autism Spectrum Disorders, 2021 - Springer
A narrative assessment is the analysis of a story told by an individual to assess language
and communication. A narrative can be used to measure pragmatic language use because it …

Graph neural network for interpreting task-fmri biomarkers

X Li, NC Dvornek, Y Zhou, J Zhuang, P Ventola… - … Image Computing and …, 2019 - Springer
Finding the biomarkers associated with ASD is helpful for understanding the underlying
roots of the disorder and can lead to earlier diagnosis and more targeted treatment. A …

Pooling regularized graph neural network for fmri biomarker analysis

X Li, Y Zhou, NC Dvornek, M Zhang, J Zhuang… - … Image Computing and …, 2020 - Springer
Understanding how certain brain regions relate to a specific neurological disorder has been
an important area of neuroimaging research. A promising approach to identify the salient …

The locus coeruleus–norepinephrine system as pacemaker of attention–a developmental mechanism of derailed attentional function in autism spectrum disorder

N Bast, L Poustka, CM Freitag - European Journal of …, 2018 - Wiley Online Library
Children with autism spectrum disorder (ASD) exhibit diminished visual engagement to
environmental stimuli. Aberrant attentional function provides an explanation by reduced …