Literature DB >> 29257126

An open resource for transdiagnostic research in pediatric mental health and learning disorders.

Lindsay M Alexander1, Jasmine Escalera1, Lei Ai1, Charissa Andreotti1, Karina Febre1, Alexander Mangone1, Natan Vega-Potler1, Nicolas Langer1,2, Alexis Alexander1, Meagan Kovacs1, Shannon Litke1, Bridget O'Hagan1, Jennifer Andersen1, Batya Bronstein1, Anastasia Bui1, Marijayne Bushey1, Henry Butler1, Victoria Castagna1, Nicolas Camacho1, Elisha Chan1, Danielle Citera1, Jon Clucas1, Samantha Cohen3, Sarah Dufek4, Megan Eaves1, Brian Fradera1, Judith Gardner5, Natalie Grant-Villegas1, Gabriella Green1, Camille Gregory1, Emily Hart1, Shana Harris1, Megan Horton6, Danielle Kahn1, Katherine Kabotyanski1, Bernard Karmel5, Simon P Kelly7, Kayla Kleinman1, Bonhwang Koo1, Eliza Kramer1, Elizabeth Lennon5, Catherine Lord4, Ginny Mantello8, Amy Margolis9, Kathleen R Merikangas10, Judith Milham11, Giuseppe Minniti1, Rebecca Neuhaus1, Alexandra Levine1, Yael Osman1, Lucas C Parra3, Ken R Pugh12, Amy Racanello1, Anita Restrepo1, Tian Saltzman1, Batya Septimus1, Russell Tobe1,13, Rachel Waltz1, Anna Williams1, Anna Yeo1, Francisco X Castellanos14,15, Arno Klein1, Tomas Paus1,16,17, Bennett L Leventhal1,18, R Cameron Craddock1,13, Harold S Koplewicz1, Michael P Milham1,13.   

Abstract

Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5-21). The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle phenotypes, as well as multimodal brain imaging (resting and naturalistic viewing fMRI, diffusion MRI, morphometric MRI), electroencephalography, eye-tracking, voice and video recordings, genetics and actigraphy. Here, we present the rationale, design and implementation of HBN protocols. We describe the first data release (n=664) and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis).

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Year:  2017        PMID: 29257126      PMCID: PMC5735921          DOI: 10.1038/sdata.2017.181

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  65 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Reducing inter-scanner variability of activation in a multicenter fMRI study: role of smoothness equalization.

Authors:  Lee Friedman; Gary H Glover; Diana Krenz; Vince Magnotta
Journal:  Neuroimage       Date:  2006-07-27       Impact factor: 6.556

3.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Authors:  Yashar Behzadi; Khaled Restom; Joy Liau; Thomas T Liu
Journal:  Neuroimage       Date:  2007-05-03       Impact factor: 6.556

4.  Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD.

Authors:  Damien A Fair; Deepti Bathula; Molly A Nikolas; Joel T Nigg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-02       Impact factor: 11.205

Review 5.  Unraveling the miswired connectome: a developmental perspective.

Authors:  Adriana Di Martino; Damien A Fair; Clare Kelly; Theodore D Satterthwaite; F Xavier Castellanos; Moriah E Thomason; R Cameron Craddock; Beatriz Luna; Bennett L Leventhal; Xi-Nian Zuo; Michael P Milham
Journal:  Neuron       Date:  2014-09-17       Impact factor: 17.173

6.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

7.  Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging.

Authors:  Tamara Vanderwal; Clare Kelly; Jeffrey Eilbott; Linda C Mayes; F Xavier Castellanos
Journal:  Neuroimage       Date:  2015-08-01       Impact factor: 6.556

8.  Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

Authors:  Avram J Holmes; Marisa O Hollinshead; Timothy M O'Keefe; Victor I Petrov; Gabriele R Fariello; Lawrence L Wald; Bruce Fischl; Bruce R Rosen; Ross W Mair; Joshua L Roffman; Jordan W Smoller; Randy L Buckner
Journal:  Sci Data       Date:  2015-07-07       Impact factor: 6.444

9.  Dynamic reconfiguration of the default mode network during narrative comprehension.

Authors:  Erez Simony; Christopher J Honey; Janice Chen; Olga Lositsky; Yaara Yeshurun; Ami Wiesel; Uri Hasson
Journal:  Nat Commun       Date:  2016-07-18       Impact factor: 14.919

10.  Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping.

Authors:  Sean C L Deoni; Douglas C Dean; Jonathan O'Muircheartaigh; Holly Dirks; Beth A Jerskey
Journal:  Neuroimage       Date:  2012-08-02       Impact factor: 6.556

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  90 in total

1.  Longitudinally consistent estimates of intrinsic functional networks.

Authors:  Qingyu Zhao; Dongjin Kwon; Eva M Müller-Oehring; Anne-Pascale Le Berre; Adolf Pfefferbaum; Edith V Sullivan; Kilian M Pohl
Journal:  Hum Brain Mapp       Date:  2019-02-25       Impact factor: 5.038

2.  Incorporating neurophysiological measures into clinical assessments: Fundamental challenges and a strategy for addressing them.

Authors:  Christopher J Patrick; William G Iacono; Noah C Venables
Journal:  Psychol Assess       Date:  2019-03-21

3.  Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation.

Authors:  Fan Zhang; Suheyla Cetin Karayumak; Nico Hoffmann; Yogesh Rathi; Alexandra J Golby; Lauren J O'Donnell
Journal:  Med Image Anal       Date:  2020-06-24       Impact factor: 8.545

4.  The Superficial White Matter in Autism and Its Role in Connectivity Anomalies and Symptom Severity.

Authors:  Seok-Jun Hong; Brian Hyung; Casey Paquola; Boris C Bernhardt
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

Review 5.  Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli.

Authors:  Elizabeth DuPre; Michael Hanke; Jean-Baptiste Poline
Journal:  Neuroimage       Date:  2019-11-05       Impact factor: 6.556

6.  Quantifying Research Domain Criteria Social Communication Subconstructs Using the Social Communication Questionnaire in Youth.

Authors:  Mirko Uljarević; Thomas W Frazier; Jennifer M Phillips; Booil Jo; Sandy Littlefield; Antonio Y Hardan
Journal:  J Clin Child Adolesc Psychol       Date:  2020-01-10

7.  Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing.

Authors:  Jake Son; Lei Ai; Ryan Lim; Ting Xu; Stanley Colcombe; Alexandre Rosa Franco; Jessica Cloud; Stephen LaConte; Jonathan Lisinski; Arno Klein; R Cameron Craddock; Michael Milham
Journal:  Cereb Cortex       Date:  2020-03-14       Impact factor: 5.357

8.  The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders.

Authors:  Jiayu Chen; Jingyu Liu; Vince D Calhoun
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-05-09       Impact factor: 10.961

9.  Mapping the Research Domain Criteria Social Processes Constructs to the Social Responsiveness Scale.

Authors:  Mirko Uljarević; Thomas W Frazier; Jennifer M Phillips; Booil Jo; Sandy Littlefield; Antonio Y Hardan
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2019-08-01       Impact factor: 8.829

Review 10.  Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning.

Authors:  Gang Chen; Paul A Taylor; Xianggui Qu; Peter J Molfese; Peter A Bandettini; Robert W Cox; Emily S Finn
Journal:  Neuroimage       Date:  2019-12-27       Impact factor: 6.556

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