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fMRI Autism

Carla Caballero, Sejal Mistry, Joe Vero, Elizabeth B Torres
The variability inherently present in biophysical data is partly contributed by disparate sampling resolutions across instrumentations. This poses a potential problem for statistical inference using pooled data in open access repositories. Such repositories combine data collected from multiple research sites using variable sampling resolutions. One example is the Autism Brain Imaging Data Exchange repository containing thousands of imaging and demographic records from participants in the spectrum of autism and age-matched neurotypical controls...
2018: Frontiers in Integrative Neuroscience
Dorit Kliemann, Hilary Richardson, Stefano Anzellotti, Dima Ayyash, Amanda J Haskins, John D E Gabrieli, Rebecca R Saxe
Individuals with Autism Spectrum Disorders (ASD) report difficulties extracting meaningful information from dynamic and complex social cues, like facial expressions. The nature and mechanisms of these difficulties remain unclear. Here we tested whether that difficulty can be traced to the pattern of activity in "social brain" regions, when viewing dynamic facial expressions. In two studies, adult participants (male and female) watched brief videos of a range of positive and negative facial expressions, while undergoing functional magnetic resonance imaging (Study 1: ASD n = 16, control n = 21; Study 2: ASD n = 22, control n = 30)...
February 21, 2018: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
Dorothea L Floris, Meng-Chuan Lai, Tanmay Nath, Michael P Milham, Adriana Di Martino
Background: The male predominance in the prevalence of autism spectrum disorder (ASD) has motivated research on sex differentiation in ASD. Multiple sources of evidence have suggested a neurophenotypic convergence of ASD-related characteristics and typical sex differences. Two existing, albeit competing, models provide predictions on such neurophenotypic convergence. These two models are testable with neuroimaging. Specifically, the Extreme Male Brain (EMB) model predicts that ASD is associated with enhanced brain maleness in both males and females with ASD (i...
2018: Molecular Autism
Dana Mastrovito, Catherine Hanson, Stephen Jose Hanson
Autism and schizophrenia share overlapping genetic etiology, common changes in brain structure and common cognitive deficits. A number of studies using resting state fMRI have shown that machine learning algorithms can distinguish between healthy controls and individuals diagnosed with either autism spectrum disorder or schizophrenia. However, it has not yet been determined whether machine learning algorithms can be used to distinguish between the two disorders. Using a linear support vector machine, we identify features that are most diagnostic for each disorder and successfully use them to classify an independent cohort of subjects...
2018: NeuroImage: Clinical
Delin Sun, Robin Shao, Zhaoxin Wang, Tatia M C Lee
Gaze direction is a common social cue implying potential interpersonal interaction. However, little is known about the neural processing of social decision making influenced by perceived gaze direction. Here, we employed functional magnetic resonance imaging (fMRI) method to investigate 27 females when they were engaging in an economic exchange game task during which photos of direct or averted eye gaze were shown. We found that, when averted but not direct gaze was presented, prosocial vs. selfish choices were associated with stronger activations in the right superior temporal gyrus (STG) as well as larger functional couplings between right STG and the posterior cingulate cortex (PCC)...
2018: Frontiers in Human Neuroscience
Antoine Bernas, Evelien M Barendse, Albert P Aldenkamp, Walter H Backes, Paul A M Hofman, Marc P H Hendriks, Roy P C Kessels, Frans M J Willems, Peter H N de With, Svitlana Zinger, Jacobus F A Jansen
Introduction: Autism spectrum disorder (ASD) is mainly characterized by functional and communication impairments as well as restrictive and repetitive behavior. The leading hypothesis for the neural basis of autism postulates globally abnormal brain connectivity, which can be assessed using functional magnetic resonance imaging (fMRI). Even in the absence of a task, the brain exhibits a high degree of functional connectivity, known as intrinsic, or resting-state, connectivity. Global default connectivity in individuals with autism versus controls is not well characterized, especially for a high-functioning young population...
February 2018: Brain and Behavior
Bianca Acevedo, Elaine Aron, Sarah Pospos, Dana Jessen
During the past decade, research on the biological basis of sensory processing sensitivity (SPS)-a genetically based trait associated with greater sensitivity and responsivity to environmental and social stimuli-has burgeoned. As researchers try to characterize this trait, it is still unclear how SPS is distinct from seemingly related clinical disorders that have overlapping symptoms, such as sensitivity to the environment and hyper-responsiveness to incoming stimuli. Thus, in this review, we compare the neural regions implicated in SPS with those found in fMRI studies of-Autism Spectrum Disorder (ASD), Schizophrenia (SZ) and Post-Traumatic Stress Disorder (PTSD) to elucidate the neural markers and cardinal features of SPS versus these seemingly related clinical disorders...
April 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
Xia-An Bi, Yang Wang, Qing Shu, Qi Sun, Qian Xu
Autism spectrum disorder (ASD) is mainly reflected in the communication and language barriers, difficulties in social communication, and it is a kind of neurological developmental disorder. Most researches have used the machine learning method to classify patients and normal controls, among which support vector machines (SVM) are widely employed. But the classification accuracy of SVM is usually low, due to the usage of a single SVM as classifier. Thus, we used multiple SVMs to classify ASD patients and typical controls (TC)...
2018: Frontiers in Genetics
Runa Bhaumik, Ashish Pradhan, Soptik Das, Dulal K Bhaumik
The advances in neuroimaging methods reveal that resting-state functional fMRI (rs-fMRI) connectivity measures can be potential diagnostic biomarkers for autism spectrum disorder (ASD). Recent data sharing projects help us replicating the robustness of these biomarkers in different acquisition conditions or preprocessing steps across larger numbers of individuals or sites. It is necessary to validate the previous results by using data from multiple sites by diminishing the site variations. We investigated partial least square regression (PLS), a domain adaptive method to adjust the effects of multicenter acquisition...
February 17, 2018: Neuroinformatics
J M Traynor, K A R Doyle-Thomas, L C Hanford, N E Foster, A Tryfon, K L Hyde, E Anagnostou, A C Evans, L Zwaigenbaum, G B C Hall, NeuroDevNet Asd Imaging Group
The purpose of the current study was to examine how repetitive behaviour in Autism Spectrum Disorder (ASD) is related to intrinsic functional connectivity patterns in a number of large-scale, neural networks. Resting-state fMRI scans from thirty subjects with ASD and thirty-two age-matched, typically developing control subjects were analysed. Seed-to-voxel and ROI-to-ROI functional connectivity analyses were used to examine resting-state connectivity in a number of cortical and subcortical neural networks. Bivariate correlation analysis was performed to examine the relationship between repetitive behaviour scores from the Repetitive Behaviour Scale - Revised and intrinsic functional connectivity in ASD subjects...
February 14, 2018: Brain Research
Gregor Kohls, Ligia Antezana, Maya G Mosner, Robert T Schultz, Benjamin E Yerys
Background: Neurobiological research in autism spectrum disorders (ASD) has paid little attention on brain mechanisms that cause and maintain restricted and repetitive behaviors and interests (RRBIs). Evidence indicates an imbalance in the brain's reward system responsiveness to social and non-social stimuli may contribute to both social deficits and RRBIs. Thus, this study's central aim was to compare brain responsiveness to individual RRBI (i.e., circumscribed interests), with social rewards (i...
2018: Molecular Autism
Adonay S Nunes, Nicholas Peatfield, Vasily Vakorin, Sam M Doesburg
Neuroimaging studies of Autism Spectrum Disorder (ASD) have yielded inconsistent results indicating either increases or decreases in functional connectivity, or both. Recent findings suggest that these seemingly divergent results might be underpinned by greater inter-individual variability in brain network connectivity in ASD. We tested the hypothesis that the spatial patterns of intrinsic connectivity networks (ICNs) are more idiosyncratic in ASD, and demonstrated that this increased variability is associated with symptomatology...
January 17, 2018: NeuroImage
Allison Jack
PURPOSE OF REVIEW: Resting-state fMRI assessment of instrinsic functional brain connectivity (rs-fcMRI) in autism spectrum disorders (ASD) allows assessment of participants with a wide range of functioning levels, and collection of multisite databases that facilitate large-scale analysis. These heterogeneous multisite data present both promise and methodological challenge. Herein, we provide an overview of recent (1 October 2016-1 November 2017) empirical research on ASD rs-fcMRI, focusing on work that helps clarify how best to leverage the power of these data...
January 17, 2018: Current Opinion in Neurology
Angela Ciaramidaro, Sven Bölte, Sabine Schlitt, Daniela Hainz, Fritz Poustka, Bernhard Weber, Christine Freitag, Henrik Walter
Impaired facial affect recognition (FAR) is observed in schizophrenia and autism spectrum disorder (ASD) and has been linked to amygdala and fusiform gyrus dysfunction. ASD patient's impairments seem to be more pronounced during implicit rather than explicit FAR, whereas for schizophrenia data are inconsistent. However, there are no studies comparing both patient groups in an identical design. The aim of this three-group study was to identify (i) whether FAR alterations are equally present in both groups, (ii) whether they are present rather during implicit or explicit FAR, (iii) and whether they are conveyed by similar or disorder-specific neural mechanisms...
December 21, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
Antoine Bernas, Albert P Aldenkamp, Svitlana Zinger
BACKGROUND AND OBJECTIVE: The autism spectrum disorder (ASD) diagnosis requires a long and elaborate procedure. Due to the lack of a biomarker, the procedure is subjective and is restricted to evaluating behavior. Several attempts to use functional MRI as an assisting tool (as classifier) have been reported, but they barely reach an accuracy of 80%, and have not usually been replicated or validated with independent datasets. Those attempts have used functional connectivity and structural measurements...
February 2018: Computer Methods and Programs in Biomedicine
Heather M Wadsworth, Jose O Maximo, Rebecca J Donnelly, Rajesh K Kana
Mental imitation, perhaps a precursor to motor imitation, involves visual perspective-taking and motor imagery. Research on mental imitation in autism spectrum disorders (ASD) has been rather limited compared to that on motor imitation. The main objective of this fMRI study is to determine the differences in brain responses underlying mirroring and mentalizing networks during mental imitation in children and adolescents with ASD. Thirteen high-functioning children and adolescents with ASD and 15 age-and- IQ-matched typically developing (TD) control participants took part in this fMRI study...
December 13, 2017: Behavioural Brain Research
Farnaz Faridi, Reza Khosrowabadi
Asperger syndrome (AS) is a subtype of Autism Spectrum Disorder (ASD) characterized by major problems in social and nonverbal communication, together with limited and repetitive forms of behavior and interests. The linguistic and cognitive development in AS is preserved which help us to differentiate it from other subtypes of ASD. However, significant effects of AS on cognitive abilities and brain functions still need to be researched. Although a clear cut pathology for Asperger has not been identified yet, recent studies have largely focused on brain imaging techniques to investigate AS...
September 2017: Basic and Clinical Neuroscience
Yui Murakami, Shinya Sakai, Kenta Takeda, Daisuke Sawamura, Kazuki Yoshida, Takamichi Hirose, Chisa Ikeda, Hiroki Mani, Toru Yamamoto, Ayahito Ito
Previous findings have revealed abnormal visual attention or processing of faces among individuals with autism spectrum condition (ASC). However, little attention has been paid to the relationship between autistic traits and neural mechanisms associated with representing facial values. Using fMRI, we investigated the patterns of brain activity in the vmPFC and VS in response to faces of elderly males, elderly females, young males, and young females. During fMRI, subjects with a relatively high autism quotient (high group) and those with a relatively low autism quotient (low group) were presented with a face and asked to rate its pleasantness...
November 12, 2017: Neuroscience Research
Nicha C Dvornek, Pamela Ventola, Kevin A Pelphrey, James S Duncan
Functional magnetic resonance imaging (fMRI) has helped characterize the pathophysiology of autism spectrum disorders (ASD) and carries promise for producing objective biomarkers for ASD. Recent work has focused on deriving ASD biomarkers from resting-state functional connectivity measures. However, current efforts that have identified ASD with high accuracy were limited to homogeneous, small datasets, while classification results for heterogeneous, multi-site data have shown much lower accuracy. In this paper, we propose the use of recurrent neural networks with long short-term memory (LSTMs) for classification of individuals with ASD and typical controls directly from the resting-state fMRI time-series...
September 2017: Machine Learning in Medical Imaging
Annika C Linke, Lindsay Olson, Yangfeifei Gao, Inna Fishman, Ralph-Axel Müller
Background: Prescription of psychotropic medications is common in autism spectrum disorders (ASDs), either off-label or to treat comorbid conditions such as ADHD or depression. Psychotropic medications are intended to alter brain function. Yet, studies investigating the functional brain organization in ASDs rarely take medication usage into account. This could explain some of the inconsistent findings of atypical brain network connectivity reported in the autism literature. Methods: The current study tested whether functional connectivity patterns, as assessed with functional magnetic resonance imaging (fMRI), differed in a cohort of 49 children and adolescents with ASDs based on psychotropic medication status, and in comparison with 50 matched typically developing (TD) participants...
September 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
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