Consensus paper: cerebellum and social cognition

F Van Overwalle, M Manto, Z Cattaneo, S Clausi… - The Cerebellum, 2020 - Springer
The traditional view on the cerebellum is that it controls motor behavior. Although recent
work has revealed that the cerebellum supports also nonmotor functions such as cognition …

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

MR Arbabshirani, S Plis, J Sui, VD Calhoun - Neuroimage, 2017 - Elsevier
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Visualizing deep neural network decisions: Prediction difference analysis

LM Zintgraf, TS Cohen, T Adel, M Welling - arxiv preprint arxiv …, 2017 - arxiv.org
This article presents the prediction difference analysis method for visualizing the response of
a deep neural network to a specific input. When classifying images, the method highlights …

Cortical and subcortical brain morphometry differences between patients with autism spectrum disorder and healthy individuals across the lifespan: results from the …

D Van Rooij, E Anagnostou, C Arango… - American Journal of …, 2018 - Am Psychiatric Assoc
Objective: Neuroimaging studies show structural differences in both cortical and subcortical
brain regions in children and adults with autism spectrum disorder (ASD) compared with …

Mindboggling morphometry of human brains

A Klein, SS Ghosh, FS Bao, J Giard… - PLoS computational …, 2017 - journals.plos.org
Mindboggle (http://mindboggle. info) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan

C Ecker, SY Bookheimer, DGM Murphy - The Lancet Neurology, 2015 - thelancet.com
Over the past decade, in-vivo MRI studies have provided many invaluable insights into the
neural substrates underlying autism spectrum disorder (ASD), which is now known to be …

Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review

G Orru, W Pettersson-Yeo, AF Marquand… - Neuroscience & …, 2012 - Elsevier
Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical
and functional differences between healthy individuals and patients suffering a wide range …

Salience network–based classification and prediction of symptom severity in children with autism

LQ Uddin, K Supekar, CJ Lynch, A Khouzam… - JAMA …, 2013 - jamanetwork.com
Importance Autism spectrum disorder (ASD) affects 1 in 88 children and is characterized by
a complex phenotype, including social, communicative, and sensorimotor deficits. Autism …

The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders

E Loth, T Charman, L Mason, J Tillmann, EJH Jones… - Molecular autism, 2017 - Springer
Background The tremendous clinical and aetiological diversity among individuals with
autism spectrum disorder (ASD) has been a major obstacle to the development of new …