[HTML][HTML] Neuroimaging-based methods for autism identification: a possible translational application?
Classification methods based on machine learning (ML) techniques are becoming
widespread analysis tools in neuroimaging studies. They have the potential to enhance the …
widespread analysis tools in neuroimaging studies. They have the potential to enhance the …
Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity—a multi-center study
Background Resting-state functional magnetic resonance imaging studies examining low
frequency fluctuations (0.01–0.08 Hz) have revealed atypical whole brain functional …
frequency fluctuations (0.01–0.08 Hz) have revealed atypical whole brain functional …
[HTML][HTML] Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
Background Emerging evidence suggests the presence of neuroanatomical abnormalities in
subjects with autism spectrum disorder (ASD). Identifying anatomical correlates could thus …
subjects with autism spectrum disorder (ASD). Identifying anatomical correlates could thus …
Predictive models of autism spectrum disorder based on brain regional cortical thickness
Y Jiao, R Chen, X Ke, K Chu, Z Lu, EH Herskovits - Neuroimage, 2010 - Elsevier
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a wide phenotypic
range, often affecting personality and communication. Previous voxel-based morphometry …
range, often affecting personality and communication. Previous voxel-based morphometry …
Beyond DSM: Seeking a Brain-Based Classification of Mental Illness
G Miller - 2010 - science.org
Beyond DSM: Seeking a Brain-Based Classification of Mental Illness | Science news careers
commentary Journals Science Science brought to you byGoogle Indexer Log in science …
commentary Journals Science Science brought to you byGoogle Indexer Log in science …
[HTML][HTML] Evaluation of altered functional connections in male children with autism spectrum disorders on multiple-site data optimized with machine learning
No univocal and reliable brain-based biomarkers have been detected to date in Autism
Spectrum Disorders (ASD). Neuroimaging studies have consistently revealed alterations in …
Spectrum Disorders (ASD). Neuroimaging studies have consistently revealed alterations in …
Dissecting autism and schizophrenia through neuroimaging genomics
Neuroimaging genomic studies of autism spectrum disorder and schizophrenia have mainly
adopted a 'top-down'approach, beginning with the behavioural diagnosis, and moving down …
adopted a 'top-down'approach, beginning with the behavioural diagnosis, and moving down …
[HTML][HTML] Enhancing diagnosis of autism with optimized machine learning models and personal characteristic data
Autism spectrum disorder (ASD) is a developmental disorder, affecting about 1% of the
global population. Currently, the only clinical method for diagnosing ASD are standardized …
global population. Currently, the only clinical method for diagnosing ASD are standardized …
[HTML][HTML] Transcriptome analysis of cortical tissue reveals shared sets of downregulated genes in autism and schizophrenia
Abstract Autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD) are three highly
heritable neuropsychiatric conditions. Clinical similarities and genetic overlap between the …
heritable neuropsychiatric conditions. Clinical similarities and genetic overlap between the …
Clustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity
J Ellegood, E Anagnostou, BA Babineau… - Molecular …, 2015 - nature.com
Autism is a heritable disorder, with over 250 associated genes identified to date, yet no
single gene accounts for> 1–2% of cases. The clinical presentation, behavioural symptoms …
single gene accounts for> 1–2% of cases. The clinical presentation, behavioural symptoms …