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fMRI Autism

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https://www.readbyqxmd.com/read/28198067/verbal-spatial-iq-discrepancies-impact-brain-activation-associated-with-the-resolution-of-cognitive-conflict-in-children-and-adolescents
#1
Amy E Margolis, Katie S Davis, Lisa S Pao, Amy Lewis, Xiao Yang, Gregory Tau, Guihu Zhao, Zhishun Wang, Rachel Marsh
Verbal-spatial discrepancies are common in healthy individuals and in those with neurodevelopmental disorders associated with cognitive control deficits including: Autism Spectrum Disorder, Non-Verbal Learning Disability, Fragile X, 22q11 deletion, and Turner Syndrome. Previous data from healthy individuals suggest that the magnitude of the difference between verbal IQ (VIQ) and performance IQ (PIQ) scores (the VIQ>PIQ discrepancy) is associated with reduced thickness in frontal and parietal cortices (inferior frontal, anterior cingulate, inferior parietal lobule, and supramarginal gyrus) that support cognitive control...
February 15, 2017: Developmental Science
https://www.readbyqxmd.com/read/28197860/local-resting-state-functional-connectivity-in-autism-site-and-cohort-variability-and-the-effect-of-eye-status
#2
Sangeeta Nair, R Joanne Jao Keehn, Michael M Berkebile, José Omar Maximo, Natalia Witkowska, Ralph-Axel Müller
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with prominent impairments in sociocommunicative abilities, which have been linked to anomalous brain network organization. Despite ample evidence of atypical long-distance connectivity, the literature on local connectivity remains small and divergent. We used resting-state functional MRI regional homogeneity (ReHo) as a local connectivity measure in comparative analyses across several well-matched low-motion subsamples from the Autism Brain Imaging Data Exchange and in-house data, with a grand total of 147 ASD and 184 typically developing (TD) participants, ages 7-18 years...
February 14, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28188914/connectivity-based-parcellation-reveals-distinct-cortico-striatal-connectivity-fingerprints-in-autism-spectrum-disorder
#3
Joshua H Balsters, Dante Mantini, Nicole Wenderoth
Autism Spectrum Disorder (ASD) has been associated with abnormal synaptic development causing a breakdown in functional connectivity. However, when measured at the macro scale using resting state fMRI, these alterations are subtle and often difficult to detect due to the large heterogeneity of the pathology. Recently, we outlined a novel approach for generating robust biomarkers of resting state functional magnetic resonance imaging (RS-fMRI) using connectivity based parcellation of gross morphological structures to improve single-subject reproducibility and generate more robust connectivity fingerprints...
February 7, 2017: NeuroImage
https://www.readbyqxmd.com/read/28180069/young-adolescents-with-autism-show-abnormal-joint-attention-network-a-gaze-contingent-fmri-study
#4
E Oberwelland, L Schilbach, I Barisic, S C Krall, K Vogeley, G R Fink, B Herpertz-Dahlmann, K Konrad, M Schulte-Rüther
Behavioral research has revealed deficits in the development of joint attention (JA) as one of the earliest signs of autism. While the neural basis of JA has been studied predominantly in adults, we recently demonstrated a protracted development of the brain networks supporting JA in typically developing children and adolescents. The present eye-tracking/fMRI study now extends these findings to adolescents with autism. Our results show that in adolescents with autism JA is subserved by abnormal activation patterns in brain areas related to social cognition abnormalities which are at the core of ASD including the STS and TPJ, despite behavioral maturation with no behavioral differences...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28174516/anocva-in-r-a-software-to-compare-clusters-between-groups-and-its-application-to-the-study-of-autism-spectrum-disorder
#5
Maciel C Vidal, João R Sato, Joana B Balardin, Daniel Y Takahashi, André Fujita
Understanding how brain activities cluster can help in the diagnosis of neuropsychological disorders. Thus, it is important to be able to identify alterations in the clustering structure of functional brain networks. Here, we provide an R implementation of Analysis of Cluster Variability (ANOCVA), which statistically tests (1) whether a set of brain regions of interest (ROI) are equally clustered between two or more populations and (2) whether the contribution of each ROI to the differences in clustering is significant...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28150911/cerebellar-contributions-to-biological-motion-perception-in-autism-and-typical-development
#6
Allison Jack, Cara M Keifer, Kevin A Pelphrey
Growing evidence suggests that posterior cerebellar lobe contributes to social perception in healthy adults. However, they know little about how this process varies across age and with development. Using cross-sectional fMRI data, they examined cerebellar response to biological (BIO) versus scrambled (SCRAM) motion within typically developing (TD) and autism spectrum disorder (ASD) samples (age 4-30 years old), characterizing cerebellar response and BIO > SCRAM-selective effective connectivity, as well as associations with age and social ability...
February 2, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28149963/reveal-consistent-spatial-temporal-patterns-from-dynamic-functional-connectivity-for-autism-spectrum-disorder-identification
#7
Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu
Functional magnetic resonance imaging (fMRI) provides a non-invasive way to investigate brain activity. Recently, convergent evidence shows that the correlations of spontaneous fluctuations between two distinct brain regions dynamically change even in resting state, due to the condition-dependent nature of brain activity. Thus, quantifying the patterns of functional connectivity (FC) in a short time period and changes of FC over time can potentially provide valuable insight into both individual-based diagnosis and group comparison...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28115995/distinct-neural-bases-of-disruptive-behavior-and-autism-symptom-severity-in-boys-with-autism-spectrum-disorder
#8
Y J Daniel Yang, Denis G Sukhodolsky, Jiedi Lei, Eran Dayan, Kevin A Pelphrey, Pamela Ventola
BACKGROUND: Disruptive behavior in autism spectrum disorder (ASD) is an important clinical problem, but its neural basis remains poorly understood. The current research aims to better understand the neural underpinnings of disruptive behavior in ASD, while addressing whether the neural basis is shared with or separable from that of core ASD symptoms. METHODS: Participants consisted of 48 male children and adolescents: 31 ASD (7 had high disruptive behavior) and 17 typically developing (TD) controls, well-matched on sex, age, and IQ...
2017: Journal of Neurodevelopmental Disorders
https://www.readbyqxmd.com/read/28113453/bayesian-community-detection-in-the-space-of-group-level-functional-differences
#9
Archana Venkataraman, Daniel Yang, Kevin Pelphrey, James Duncan
We propose a unified Bayesian framework to detect both hyper- and hypo-active communities within whole-brain fMRI data. Specifically, our model identifies dense subgraphs that exhibit population-level differences in functional synchrony between a control and clinical group. We derive a variational EM algorithm to solve for the latent posterior distributions and parameter estimates, which subsequently inform us about the afflicted network topology. We demonstrate that our method provides valuable insights into the neural mechanisms underlying social dysfunction in autism, as verified by the Neurosynth metaanalytic database...
March 2, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28088648/the-influence-of-5-httlpr-transporter-genotype-on-amygdala-subgenual-anterior-cingulate-cortex-connectivity-in-autism-spectrum-disorder
#10
Francisco Velasquez, Jillian Lee Wiggins, Whitney I Mattson, Donna M Martin, Catherine Lord, Christopher S Monk
Social deficits in autism spectrum disorder (ASD) are linked to amygdala functioning and functional connection between the amygdala and subgenual anterior cingulate cortex (sACC) is involved in the modulation of amygdala activity. Impairments in behavioral symptoms and amygdala activation and connectivity with the sACC seem to vary by serotonin transporter-linked polymorphic region (5-HTTLPR) variant genotype in diverse populations. The current preliminary investigation examines whether amygdala-sACC connectivity differs by 5-HTTLPR genotype and relates to social functioning in ASD...
December 23, 2016: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/28057726/reduced-hippocampal-functional-connectivity-during-episodic-memory-retrieval-in-autism
#11
Rose A Cooper, Franziska R Richter, Paul M Bays, Kate C Plaisted-Grant, Simon Baron-Cohen, Jon S Simons
Increasing recent research has sought to understand the recollection impairments experienced by individuals with autism spectrum disorder (ASD). Here, we tested whether these memory deficits reflect a reduction in the probability of retrieval success or in the precision of memory representations. We also used functional magnetic resonance imaging (fMRI) to study the neural mechanisms underlying memory encoding and retrieval in ASD, focusing particularly on the functional connectivity of core episodic memory networks...
January 4, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28017919/relationship-of-a-common-oxtr-gene-variant-to-brain-structure-and-default-mode-network-function-in-healthy-humans
#12
Junping Wang, Meredith N Braskie, George W Hafzalla, Joshua Faskowitz, Katie L McMahon, Greig I de Zubicaray, Margaret J Wright, Chunshui Yu, Paul M Thompson
A large body of research suggests that oxytocin receptor (OXTR) gene polymorphisms may influence both social behaviors and psychiatric conditions related to social deficits, such as autism spectrum disorders (ASDs), schizophrenia, and mood and anxiety disorders. However, the neural mechanism underlying these associations is still unclear. Relative to controls, patients with these psychiatric conditions show differences in brain structure, and in resting state fMRI (rs-fMRI) signal synchronicity among default mode network (DMN) regions (also known as functional connectivity)...
February 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/27990125/promises-pitfalls-and-basic-guidelines-for-applying-machine-learning-classifiers-to-psychiatric-imaging-data-with-autism-as-an-example
#13
Pegah Kassraian-Fard, Caroline Matthis, Joshua H Balsters, Marloes H Maathuis, Nicole Wenderoth
Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large interindividual differences. Typically, the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multidisciplinary team with extensive experience. While the application of Machine Learning classification methods (ML classifiers) to neuroimaging data has the potential to speed and simplify diagnosis of psychiatric disorders, the methods, assumptions, and analytical steps are currently opaque and not accessible to researchers and clinicians outside the field...
2016: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/27969061/decreased-amygdala-functional-connectivity-in-adolescents-with-autism-a-resting-state-fmri-study
#14
Xiaonan Guo, Xujun Duan, Zhiliang Long, Heng Chen, Yifeng Wang, Junjie Zheng, Youxue Zhang, Rong Li, Huafu Chen
The human brain undergoes dramatic changes in amygdala-related functional connectivity network during adolescence. Given that the amygdala is a vital component of the "social brain", the Amygdala Theory of Autism has been proposed to account for atypical patterns of socio-emotional behavior in autism. Most of the previous neuroimaging evidence has concentrated on local functional or structural abnormalities of the amygdala in relation to social deficits in autism, rather than on its integrated role as part of larger brain networks...
October 23, 2016: Psychiatry Research
https://www.readbyqxmd.com/read/27891068/can-mouse-imaging-studies-bring-order-to-autism-connectivity-chaos
#15
Adam Liska, Alessandro Gozzi
Functional Magnetic Resonance Imaging (fMRI) has consistently highlighted impaired or aberrant functional connectivity across brain regions of autism spectrum disorder (ASD) patients. However, the manifestation and neural substrates of these alterations are highly heterogeneous and often conflicting. Moreover, their neurobiological underpinnings and etiopathological significance remain largely unknown. A deeper understanding of the complex pathophysiological cascade leading to aberrant connectivity in ASD can greatly benefit from the use of model organisms where individual pathophysiological or phenotypic components of ASD can be recreated and investigated via approaches that are either off limits or confounded by clinical heterogeneity...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27887721/comparative-multimodal-meta-analysis-of-structural-and-functional-brain-abnormalities-in-autism-spectrum-disorder-and-obsessive-compulsive-disorder
#16
Christina O Carlisi, Luke J Norman, Steve S Lukito, Joaquim Radua, David Mataix-Cols, Katya Rubia
BACKGROUND: Autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) share inhibitory control deficits possibly underlying poor control over stereotyped and repetitive and compulsive behaviors, respectively. However, it is unclear whether these symptom profiles are mediated by common or distinct neural profiles. This comparative multimodal meta-analysis assessed shared and disorder-specific neuroanatomy and neurofunction of inhibitory functions. METHODS: A comparative meta-analysis of 62 voxel-based morphometry and 26 functional magnetic resonance imaging (fMRI) studies of inhibitory control was conducted comparing gray matter volume and activation abnormalities between patients with ASD (structural MRI: 911; fMRI: 188) and OCD (structural MRI: 928; fMRI: 247) and control subjects...
October 13, 2016: Biological Psychiatry
https://www.readbyqxmd.com/read/27865923/deriving-reproducible-biomarkers-from-multi-site-resting-state-data-an-autism-based-example
#17
Alexandre Abraham, Michael P Milham, Adriana Di Martino, R Cameron Craddock, Dimitris Samaras, Bertrand Thirion, Gael Varoquaux
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is challenging for complex multi-faceted neuropathologies, such as autism spectrum disorders. Large multi-site datasets increase sample sizes to compensate for this complexity, at the cost of uncontrolled heterogeneity. This heterogeneity raises new challenges, akin to those face in realistic diagnostic applications. Here, we demonstrate the feasibility of inter-site classification of neuropsychiatric status, with an application to the Autism Brain Imaging Data Exchange (ABIDE) database, a large (N=871) multi-site autism dataset...
February 15, 2017: NeuroImage
https://www.readbyqxmd.com/read/27859903/corticostriatal-connectivity-fingerprints-probability-maps-based-on-resting-state-functional-connectivity
#18
Ellen Jaspers, Joshua H Balsters, Pegah Kassraian Fard, Dante Mantini, Nicole Wenderoth
Over the last decade, structure-function relationships have begun to encompass networks of brain areas rather than individual structures. For example, corticostriatal circuits have been associated with sensorimotor, limbic, and cognitive information processing, and damage to these circuits has been shown to produce unique behavioral outcomes in Autism, Parkinson's Disease, Schizophrenia and healthy ageing. However, it remains an open question how abnormal or absent connectivity can be detected at the individual level...
November 12, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27843514/attentional-networks-in-adolescents-with-high-functioning-autism-an-fmri-investigation
#19
Elizabeth C Hames, Ravi Rajmohan, Dan Fang, Ronald Anderson, Mary Baker, David M Richman, Michael O'Boyle
BACKGROUND: Attentional deficits in Autism spectrum disorder (ASD) are often noted, but their specific nature remains unclear. OBJECTIVE: The present study used the child Attentional Network Task (Child ANT) in combination with functional magnetic resonance imaging (fMRI) to determine if the consistently cited deficits of orienting attention are truly due to dysfunctions of orienting-based networks. We hypothesized that these observations are, in fact, a reflection of executive dysfunctions...
2016: Open Neuroimaging Journal
https://www.readbyqxmd.com/read/27751941/sources-and-implications-of-whole-brain-fmri-signals-in-humans
#20
Jonathan D Power, Mark Plitt, Timothy O Laumann, Alex Martin
Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal (the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric conditions such as schizophrenia and autism have been characterized by differences in the global fMRI signal. Further, vigorous debates exist on whether global signals ought to be removed from fMRI data. However, surprisingly little research has focused on the empirical properties of whole-brain fMRI signals. Here we map the spatial and temporal properties of the global signal, individually, in 1000+ fMRI scans...
February 1, 2017: NeuroImage
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