Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model.

Computational Intelligence and Neuroscience
Sergio Leonardo MendesJoão Ricardo Sato

Abstract

Despite recent advances, assessing biological measurements for neuropsychiatric disorders is still a challenge, where confounding variables such as gender and age (as a proxy for neurodevelopment) play an important role. This study explores brain structural magnetic resonance imaging (sMRI) from two public data sets (ABIDE-II and ADHD-200) with healthy control (HC, N = 894), autism spectrum disorder (ASD, N = 251), and attention deficit hyperactivity disorder (ADHD, N = 357) individuals. We used gray and white matter preprocessed via voxel-based morphometry (VBM) to train a 3D convolutional neural network with a multitask learning strategy to estimate gender, age, and mental health status from structural brain differences. Gradient-based methods were employed to generate attention maps, providing clinically relevant identification of most representative brain regions for models' decision-making. This approach resulted in satisfactory predictions for gender and age. ADHD-200-trained models, evaluated in 10-fold cross-validation procedures on test set, obtained a mean absolute error (MAE) of 1.43 years (±0.22 SD) for age prediction and an area under the curve (AUC) of 0.85 (±0.04 SD) for gender classification. In out-of-sample va...Continue Reading

References

Jun 22, 2000·NeuroImage·J Ashburner, K J Friston
Nov 15, 2001·Annals of Neurology·J Velísková, S L Moshé
Jun 16, 2005·NeuroImage·John Ashburner, Karl J Friston
Dec 27, 2005·NeuroImage·Alan C Evans, UNKNOWN Brain Development Cooperative Group
Sep 1, 2007·NeuroImage·John Ashburner
Jan 17, 2009·NeuroImage·John Ashburner, Karl J Friston
Mar 3, 2009·Magnetic Resonance Imaging·John Ashburner
Oct 12, 2010·Schizophrenia Bulletin·Bruce N Cuthbert, Thomas R Insel
Jul 6, 2011·Molecular Psychiatry·D Tomasi, N D Volkow
Jun 26, 2013·International Journal of Computer Assisted Radiology and Surgery·Bowen SongZhengrong Liang
Jul 5, 2013·PloS One·Christian GaserUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Oct 16, 2013·Schizophrenia Bulletin·Nikolaos KoutsoulerisEva Meisenzahl
Jan 8, 2014·Medical & Biological Engineering & Computing·Jieqiong WangHuiguang He
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Apr 12, 2016·Frontiers in Psychiatry·Hugo G Schnack, René S Kahn
Dec 6, 2016·Nature Medicine·Andrew T DrysdaleConor Liston
Apr 15, 2017·Epilepsy Research·Heath R PardoeUNKNOWN Human Epilepsy Project Investigators
Jun 22, 2017·The World Journal of Biological Psychiatry : the Official Journal of the World Federation of Societies of Biological Psychiatry·João Ricardo SatoRodrigo Affonseca Bressan
Aug 2, 2018·Biological Psychiatry : Cognitive Neuroscience and Neuroimaging·Alfredo A PuliniAgatha Lenartowicz
Sep 3, 2018·International Journal of Developmental Neuroscience : the Official Journal of the International Society for Developmental Neuroscience·Alex M PagnozziStephen E Rose
Mar 5, 2019·NeuroImage·Dustin ScheinostR Todd Constable
Sep 16, 2019·NeuroImage·Edmund T RollsMarc Joliot
Jan 12, 2020·Communications Biology·Pedro Nascimento AlvesMichel Thiebaut de Schotten

❮ Previous
Next ❯

Software Mentioned

AAL3
SmoothGrad
ABIDE
TensorFlow
Statistical Parametric Mapping SPM12
Python
Linux
SPM12
VBM
tf

Related Concepts

Related Feeds

Autism

Autism spectrum disorder is associated with challenges with social skills, repetitive behaviors, and often accompanied by sensory sensitivities and medical issues. Here is the latest research on autism.

Attention Disorders

Attention is involved in all cognitive activities, and attention disorders are reported in patients with various neurological diseases. Here are the latest discoveries pertaining to attention disorders.