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Anita D. Barber
Researcher at The Feinstein Institute for Medical Research
Publications - 44
Citations - 1831
Anita D. Barber is an academic researcher from The Feinstein Institute for Medical Research. The author has contributed to research in topics: Resting state fMRI & Psychosis. The author has an hindex of 16, co-authored 41 publications receiving 1442 citations. Previous affiliations of Anita D. Barber include Hofstra University & Kennedy Krieger Institute.
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Journal ArticleDOI
Reduction of motion-related artifacts in resting state fMRI using aCompCor
John Muschelli,Mary Beth Nebel,Mary Beth Nebel,Brian Caffo,Anita D. Barber,Anita D. Barber,James J. Pekar,James J. Pekar,Stewart H. Mostofsky,Stewart H. Mostofsky +9 more
TL;DR: It is demonstrated that the use of aCompCor removes motion artifacts more effectively than tissue-mean signal regression and inclusion of more components from anatomically defined regions of no interest better mitigates motion-related artifacts and improves the specificity of functional connectivity estimates.
Journal ArticleDOI
Disruption of functional organization within the primary motor cortex in children with autism
Mary Beth Nebel,Suresh Joel,Suresh Joel,John Muschelli,John Muschelli,Anita D. Barber,Anita D. Barber,Brian Caffo,James J. Pekar,James J. Pekar,Stewart H. Mostofsky,Stewart H. Mostofsky +11 more
TL;DR: Qualitative comparison of the M1 parcellation for children with ASD with that of younger and older TD children suggests that these organizational differences, with a lack of differentiation between lower limb/trunk regions and upper limb/hand regions, may be due, at least in part, to a delay in functional specialization within the motor cortex.
Journal ArticleDOI
Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging.
Ani Eloyan,John Muschelli,John Muschelli,Mary Beth Nebel,Han Liu,Fang Han,Tuo Zhao,Anita D. Barber,Suresh Joel,James J. Pekar,Stewart H. Mostofsky,Brian Caffo +11 more
TL;DR: A prediction model is created using the landmark ADHD 200 data set focusing on resting state functional connectivity (rs-fc) and structural brain imaging and the most promising imaging biomarker was a correlation graph from a motor network parcellation.
Journal ArticleDOI
Comparing test-retest reliability of dynamic functional connectivity methods
Ann S. Choe,Mary Beth Nebel,Anita D. Barber,Jessica R. Cohen,Yuting Xu,James J. Pekar,Brian Caffo,Martin A. Lindquist +7 more
TL;DR: It is concluded that utilizing the variance of the dynamic connectivity is an important component in any dynamic FC-derived summary measure, as the fluctuations of dynamic FC has a strong potential to provide summary measures that can be used to find meaningful individual differences in dynamic FC.
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Intrinsic Visual-Motor Synchrony Correlates With Social Deficits in Autism.
Mary Beth Nebel,Mary Beth Nebel,Ani Eloyan,Carrie Nettles,Kristie L. Sweeney,Katarina Ament,Rebecca E. Ward,Ann S. Choe,Anita D. Barber,Anita D. Barber,James J. Pekar,James J. Pekar,Stewart H. Mostofsky +12 more
TL;DR: It is confirmed that visual-motor functional connectivity is disrupted in ASD and the observed temporal incongruity between visual and motor systems was predictive of the severity of social deficits and may contribute to impaired social-communicative skill development in children with ASD.