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A Novel Grading System for Autism Severity Level Using Task-Based Functional MRI: A Response to Speech Study

Reem Haweel, Ahmed M. Shalaby, Ali H. Mahmoud, Mohammed Ghazal, Noha Seada, Said Ghoniemy, Manuel Casanova, Gregory N. Barnes, Ayman El-Baz
2021 IEEE Access  
Task-based fMRI is a discriminating image modality that measures the functional activation of the brain.  ...  Here, we propose a novel computer-aided grading framework in infants and toddlers (between 12 and 40 months) dependent on the analysis of brain activation in response to a speech experiment.  ...  The proposed framework block diagram of using task-based fMRI images for grading autistic subjects into three severity levels.  ... 
doi:10.1109/access.2021.3097606 fatcat:qpmaeeu6fzhrjmfgw4ldllhkl4

A CNN Deep Local and Global ASD Classification Approach with Continuous Wavelet Transform Using Task-Based FMRI

Reem Haweel, Noha Seada, Said Ghoniemy, Norah Saleh Alghamdi, Ayman El-Baz
2021 Sensors  
Task-based fMRI demonstrates the functional activation in the brain by measuring blood oxygen level-dependent (BOLD) variations in response to certain tasks.  ...  A novel computer aided diagnosis (CAD) framework is proposed to classify 50 ASD and 50 typically developed toddlers with the adoption of CNN deep networks.  ...  Conclusions and Future Work In this paper, a novel CNN Deep learning based ASD local and global diagnosis system is introduced. The proposed system utilized task-based fMRI to achieve this goal.  ... 
doi:10.3390/s21175822 pmid:34502710 fatcat:nsmkeoojgfcfrlg553xgwpyvrm

Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear [chapter]

Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant
2018 Lecture Notes in Computer Science  
Registration of Single Subject Task Based fMRI Signals David Lee*; Joana Louriero; Katherine Narr; Roger Woods; Shantanu Joshi T-89 A Generative-Discriminative Basis Learning Framework to Predict Clinical  ...  ; Sheng Xu; Baris Turkbey; Peter Choyke; Parvin Mousavi; Purang Abolmaesumi M-104 A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation Jie Luo*; Matthew Toews; Ines Machado;  ... 
doi:10.1007/978-3-030-00928-1_1 fatcat:ypoj3zplm5awljf6u5c2spgiea

Using causal methods to map symptoms to brain circuits in neurodevelopment disorders: moving from identifying correlates to developing treatments

Alexander Li Cohen
2022 Journal of Neurodevelopmental Disorders  
circuits for transdiagnostic symptoms and neuroimaging-based endophenotypes may now be feasible for neurodevelopmental disorders using data from cohorts with focal brain anomalies.  ...  These novel circuits, after validation in large-scale highly characterized research cohorts and tested prospectively using noninvasive neuromodulation and neurofeedback techniques, may represent a new  ...  Discovery of novel neuroanatomical circuits for transdiagnostic symptoms and neuroimaging-based endophenotypes may now be feasible for neurodevelopmental disorders using data from cohorts with focal  ... 
doi:10.1186/s11689-022-09433-1 pmid:35279095 pmcid:PMC8918299 fatcat:u4gfwj6h5bgk3oxg2i5xlyalzy

Social brain activation during mentalizing in a large autism cohort: the Longitudinal European Autism Project

Carolin Moessnang, the EU-AIMS LEAP group, Sarah Baumeister, Julian Tillmann, David Goyard, Tony Charman, Sara Ambrosino, Simon Baron-Cohen, Christian Beckmann, Sven Bölte, Carsten Bours, Daisy Crawley (+22 others)
2020 Molecular Autism  
We tested for effects of age, diagnosis, and their association with symptom measures, including a continuous measure of autistic traits. We observed robust effects of task.  ...  Autism spectrum disorder (ASD) is a neurodevelopmental condition with key deficits in social functioning.  ...  Acknowledgements We thank all participants and their families for their efforts to participate in the study.  ... 
doi:10.1186/s13229-020-0317-x pmid:32087753 pmcid:PMC7036196 fatcat:qzxkxiodbzdufionz7l7vkisoa

Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations

Signe Bray
2009 Frontiers in Human Neuroscience  
However, it is often the case that distributed spatial patterns may be a more appropriate metric for discriminating between conditions or groups.  ...  Multivariate pattern analysis has been gaining traction in neuroimaging of adult healthy and clinical populations; studies have shown that information present in neuroimaging data can be used to decode  ...  For example, Hrdlicka et al. (2005) used a clustering algorithm on MRIs from 64 subjects with autism.  ... 
doi:10.3389/neuro.09.032.2009 pmid:19893761 pmcid:PMC2773173 fatcat:lk2vz54ibzg27l7tfrnvniluum

Understanding autism spectrum disorder and social functioning in children with neurofibromatosis type 1: protocol for a cross-sectional multimodal study

Kristina M Haebich, Natalie A Pride, Karin S Walsh, Anita Chisholm, Melissa Rouel, Alice Maier, Vicki Anderson, Belinda Barton, Tim Silk, Mayuresh Korgaonkar, Marc Seal, Francesca Lami (+7 others)
2019 BMJ Open  
A complete framework is required to better understand autism in NF1, from neurobiological levels through to behavioural and functional outcomes.  ...  IntroductionChildren with the single-gene disorder neurofibromatosis type 1 (NF1) appear to be at an increased risk for autism spectrum disorder (ASD) and exhibit a unique social-cognitive phenotype compared  ...  A complete framework is required to better understand autism in NF1, from neurobiological levels through to behavioural and functional outcomes.  ... 
doi:10.1136/bmjopen-2019-030601 pmid:31558455 pmcid:PMC6773330 fatcat:qq34ztytqbem5bmdujuaq2nxc4

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

Jennifer H. Foss-Feig, Brendan D. Adkinson, Jie Lisa Ji, Genevieve Yang, Vinod H. Srihari, James C. McPartland, John H. Krystal, John D. Murray, Alan Anticevic
2017 Biological Psychiatry  
We discuss findings from diverse neuroimaging studies across distinct modalities, conducted with EEG, MEG, 1 H-MRS, and fMRI, including effects observed both during task and at rest.  ...  E/I imbalance has been hypothesized as one broad, microcircuit-based alteration underlying brain dysfunction across neurodevelopmental disorders (NDs), including autism spectrum disorder (ASD) and schizophrenia  ...  Thus, task-based fMRI studies suggest neural disinhibition may associate with autism symptomatology in a continuous fashion, spanning into non-clinical populations.  ... 
doi:10.1016/j.biopsych.2017.03.005 pmid:28434615 pmcid:PMC5436134 fatcat:jukaaeopfbhg7hgyvi6nz5b2x4

Assessing biomarkers for brain diseases: progress and gaps

Linda S Brady
2013 Genome Medicine  
A report on the 2nd Wellcome Trust Scientific Conference on Biomarkers for Brain Disorders: Challenges and Opportunities, held at the Moller Centre, Cambridge, UK, February 3-5, 2013.  ...  Emilio Merlo-Pich (Hoffman La-Roche, Switzerland) described the use of task-based and resting-state functional magnetic resonance imaging (fMRI) as decision-making tools in the clinical development of  ...  Reliable, plasma-based biomarkers continue to be a focus of several groups, even though efforts to identify such markers for AD have had little success so far.  ... 
doi:10.1186/gm427 pmid:23673002 pmcid:PMC3706976 fatcat:jzdvruc42ndmdo6c3kku5ykpeu

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

Mohammad R. Arbabshirani, Sergey Plis, Jing Sui, Vince D. Calhoun
2017 NeuroImage  
Using a variety of neuroimaging modalities such as structural, functional and diffusion MRI, along with machine learning techniques, hundreds of studies have been carried out for accurate classification  ...  Based on this survey, there are extensive evidences showing the great potential of neuroimaging data for single subject prediction of various disorders.  ...  Sui); Chinese National Science Foundation No. 81471367 and the State High-Tech Development Plan (863) No. 2015AA020513; Also, we would like to thank Monica Jaramillo for the initial survey of neuroimaging  ... 
doi:10.1016/j.neuroimage.2016.02.079 pmid:27012503 pmcid:PMC5031516 fatcat:7kxm7yeugrgvdlxmitccneqxc4

Vision-Based Activity Recognition in Children with Autism-Related Behaviors [article]

Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin
2022 arXiv   pre-print
For this purpose, we adopt and enhance a dataset for analyzing autism-related actions using videos of children captured in uncontrolled environments (e.g. videos collected with consumer-grade cameras,  ...  We demonstrate the effect of a region-based computer vision system to help clinicians and parents analyze a child's behavior.  ...  We investigated several region-based action recognition frameworks for the detection of these characteristic behaviors, including lightweight and standard complexity models.  ... 
arXiv:2208.04206v1 fatcat:vhhioruftbaejepbp5jtx4zrku

Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies

Christian O'Reilly, John D. Lewis, Mayada Elsabbagh, Alessandro Gozzi
2017 PLoS ONE  
Methods Literature reviews were done using PubMed and PsychInfo databases. Abstracts were screened, and only relevant articles were analyzed based on the objectives of this paper.  ...  Although it is well recognized that autism is associated with altered patterns of over-and under-connectivity, specifics are still a matter of debate.  ...  Uddin LQ, Supekar K, Lynch CJ, Khouzam A, Phillips J, Feinstein C, et al. Salience network-based classification and prediction of symptom severity in children with autism.  ... 
doi:10.1371/journal.pone.0175870 pmid:28467487 pmcid:PMC5414938 fatcat:5tj5dpzbbzejblptuk5rrc726e

Neuroimaging of typical and atypical development: A perspective from multiple levels of analysis

2002 Development and Psychopathology  
This alternative view, based on an "interactive specialization" approach to postnatal brain development, indicates that there is a need to: obtain data from early in development; focus more on differences  ...  in interregional interactions rather than searching for localized, discrete lesions; examine the temporal dynamics of neural processing; and move away from deficits to image tasks in which atypical participants  ...  A third example of the use of fMRI to siderable variability in regional patterns of cerebral synaptic activity" (p. 171).  ... 
doi:10.1017/s0954579402003073 fatcat:q6ae44f7nvfnbjgmgocbajddei

Looking for "fNIRS Signature" in Autism Spectrum: A Systematic Review Starting From Preschoolers

Eugenia Conti, Elena Scaffei, Chiara Bosetti, Viviana Marchi, Valeria Costanzo, Valerio Dell'Oste, Raffaele Mazziotti, Liliana Dell'Osso, Claudia Carmassi, Filippo Muratori, Laura Baroncelli, Sara Calderoni (+1 others)
2022 Frontiers in Neuroscience  
considered a promising method for identifying early quantitative biomarkers in the autism field.  ...  Both functional connectivity in resting-state conditions and task-evoked brain activation using multiple experimental paradigms were used in the selected investigations, suggesting that fNIRS might be  ...  Is “fNIRS Signature” Useful as a Brain Biomarker for Autism Spectrum Disorder?  ... 
doi:10.3389/fnins.2022.785993 pmid:35341016 pmcid:PMC8948464 fatcat:fgvubzh22bhyhmo3j5th44bgua

Deep Learning and Neurology: A Systematic Review

Aly Al-Amyn Valliani, Daniel Ranti, Eric Karl Oermann
2019 Neurology and Therapy  
the early detection of acute neurologic events; medical image segmentation for quantitative evaluation of neuroanatomy and vasculature; connectome mapping for the diagnosis of Alzheimer's, autism spectrum  ...  Here we review the various domains in which deep learning algorithms have already provided impetus for change-areas such as medical image analysis for the improved diagnosis of Alzheimer's disease and  ...  Identifying novel clinical patterns amidst this complexity is definitely not a trivial task [1] [2] [3] .  ... 
doi:10.1007/s40120-019-00153-8 pmid:31435868 pmcid:PMC6858915 fatcat:tifna6pllzgqxcae66d7chv3xa
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