Knowing what you know in brain segmentation using Bayesian deep neural networks
P McClure, N Rho, JA Lee, JR Kaczmarzyk… - Frontiers in …, 2019 - frontiersin.org
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer
segmentations of structural MRI volumes, in minutes rather than hours. The network was …
segmentations of structural MRI volumes, in minutes rather than hours. The network was …
Using the big data approach to clarify the structure of restricted and repetitive behaviors across the most commonly used autism spectrum disorder measures
M Uljarević, B Jo, TW Frazier, L Scahill… - Molecular Autism, 2021 - Springer
Background Restricted and repetitive behaviors (RRB) in autism spectrum disorder (ASD)
encompass several distinct domains. However, commonly used general ASD measures …
encompass several distinct domains. However, commonly used general ASD measures …
Statistical connectomics
The data science of networks is a rapidly developing field with myriad applications. In
neuroscience, the brain is commonly modeled as a connectome, a network of nodes …
neuroscience, the brain is commonly modeled as a connectome, a network of nodes …
The superficial white matter in autism and its role in connectivity anomalies and symptom severity
In autism spectrum disorders (ASDs), the majority of neuroimaging studies have focused on
the analysis of cortical morphology. White matter changes remain less understood …
the analysis of cortical morphology. White matter changes remain less understood …
A longitudinal resource for studying connectome development and its psychiatric associations during childhood
RH Tobe, A MacKay-Brandt, R Lim, M Kramer… - Scientific Data, 2022 - nature.com
Most psychiatric disorders are chronic, associated with high levels of disability and distress,
and present during pediatric development. Scientific innovation increasingly allows …
and present during pediatric development. Scientific innovation increasingly allows …
Age differences in head motion and estimates of cortical morphology
CR Madan - PeerJ, 2018 - peerj.com
Cortical morphology is known to differ with age, as measured by cortical thickness, fractal
dimensionality, and gyrification. However, head motion during MRI scanning has been …
dimensionality, and gyrification. However, head motion during MRI scanning has been …
[HTML][HTML] Benchmarking common preprocessing strategies in early childhood functional connectivity and intersubject correlation fMRI
Preprocessing choices present a particular challenge for researchers working with
functional magnetic resonance imaging (fMRI) data from young children. Steps which have …
functional magnetic resonance imaging (fMRI) data from young children. Steps which have …
Approaches to defining common and dissociable neurobiological deficits associated with psychopathology in youth
Psychiatric disorders show high rates of comorbidity and nonspecificity of presenting clinical
symptoms, while demonstrating substantial heterogeneity within diagnostic categories …
symptoms, while demonstrating substantial heterogeneity within diagnostic categories …
[HTML][HTML] Neuroimaging and biosample collection in the Toronto Adolescent and Youth Cohort Study: Rationale, methods, and early data
Abstract Background The Toronto Adolescent and Youth (TAY) Cohort Study will
characterize the neurobiological trajectories of psychosis spectrum symptoms, functioning …
characterize the neurobiological trajectories of psychosis spectrum symptoms, functioning …
[HTML][HTML] Cognition and educational achievement in the Toronto Adolescent and Youth Cohort Study: Rationale, methods, and early data
Background Both cognition and educational achievement in youths are linked to psychosis
risk. One major aim of the Toronto Adolescent and Youth (TAY) Cohort Study is to …
risk. One major aim of the Toronto Adolescent and Youth (TAY) Cohort Study is to …