Literature DB >> 27713929

Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development.

F Xavier Castellanos1, Yuta Aoki2.   

Abstract

Functional magnetic resonance imaging (fMRI) without an explicit task, i.e., resting state fMRI, of individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) is growing rapidly. Early studies were unaware of the vulnerability of this method to even minor degrees of head motion, a major concern in the field. Recent efforts are implementing various strategies to address this source of artifact along with a growing set of analytical tools. Availability of the ADHD-200 Consortium dataset, a large-scale multi-site repository, is facilitating increasingly sophisticated approaches. In parallel, investigators are beginning to explicitly test the replicability of published findings. In this narrative review, we sketch out broad, overarching hypotheses being entertained while noting methodological uncertainties. Current hypotheses implicate the interplay of default, cognitive control (frontoparietal) and attention (dorsal, ventral, salience) networks in ADHD; functional connectivities of reward-related and amygdala-related circuits are also supported as substrates for dimensional aspects of ADHD. Before these can be further specified and definitively tested, we assert the field must take on the challenge of mapping the "topography" of the analytical space, i.e., determining the sensitivities of results to variations in acquisition, analysis, demographic and phenotypic parameters. Doing so with openly available datasets will provide the needed foundation for delineating typical and atypical developmental trajectories of brain structure and function in neurodevelopmental disorders including ADHD when applied to large-scale multi-site prospective longitudinal studies such as the forthcoming Adolescent Brain Cognitive Development study.

Entities:  

Keywords:  ADHD; default mode network; functional connectivity; literature; resting-state; review

Year:  2016        PMID: 27713929      PMCID: PMC5047296          DOI: 10.1016/j.bpsc.2016.03.004

Source DB:  PubMed          Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging        ISSN: 2451-9022


  148 in total

1.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

2.  Analysis of fMRI data by blind separation into independent spatial components.

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Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

3.  Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI.

Authors:  Raimon H R Pruim; Maarten Mennes; Jan K Buitelaar; Christian F Beckmann
Journal:  Neuroimage       Date:  2015-03-11       Impact factor: 6.556

4.  Sensation-to-cognition cortical streams in attention-deficit/hyperactivity disorder.

Authors:  Susana Carmona; Elseline Hoekzema; Francisco X Castellanos; David García-García; Agustín Lage-Castellanos; Koene R A Van Dijk; Francisco J Navas-Sánchez; Kenia Martínez; Manuel Desco; Jorge Sepulcre
Journal:  Hum Brain Mapp       Date:  2015-03-28       Impact factor: 5.038

5.  Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

Authors:  Theodore D Satterthwaite; Daniel H Wolf; James Loughead; Kosha Ruparel; Mark A Elliott; Hakon Hakonarson; Ruben C Gur; Raquel E Gur
Journal:  Neuroimage       Date:  2012-01-02       Impact factor: 6.556

6.  Resting-state networks in the infant brain.

Authors:  Peter Fransson; Beatrice Skiöld; Sandra Horsch; Anders Nordell; Mats Blennow; Hugo Lagercrantz; Ulrika Aden
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-18       Impact factor: 11.205

7.  Evaluation of pattern recognition and feature extraction methods in ADHD prediction.

Authors:  João Ricardo Sato; Marcelo Queiroz Hoexter; André Fujita; Luis Augusto Rohde
Journal:  Front Syst Neurosci       Date:  2012-09-24

8.  Intrinsic Affective Network Is Impaired in Children with Attention-Deficit/Hyperactivity Disorder.

Authors:  New-Fei Ho; Joanna S X Chong; Hui Li Koh; Eleni Koukouna; Tih-Shih Lee; Daniel Fung; Choon Guan Lim; Juan Zhou
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

9.  Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects.

Authors:  Soumyabrata Dey; A Ravishankar Rao; Mubarak Shah
Journal:  Front Neural Circuits       Date:  2014-06-16       Impact factor: 3.492

10.  Connectivity supporting attention in children with attention deficit hyperactivity disorder.

Authors:  Anita D Barber; Lisa A Jacobson; Joanna L Wexler; Mary Beth Nebel; Brian S Caffo; James J Pekar; Stewart H Mostofsky
Journal:  Neuroimage Clin       Date:  2014-11-20       Impact factor: 4.881

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  51 in total

1.  Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets.

Authors:  Pradyumna Lanka; D Rangaprakash; Michael N Dretsch; Jeffrey S Katz; Thomas S Denney; Gopikrishna Deshpande
Journal:  Brain Imaging Behav       Date:  2020-12       Impact factor: 3.978

2.  Association of White Matter Structure With Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder.

Authors:  Yuta Aoki; Yuliya N Yoncheva; Bosi Chen; Tanmay Nath; Dillon Sharp; Mariana Lazar; Pablo Velasco; Michael P Milham; Adriana Di Martino
Journal:  JAMA Psychiatry       Date:  2017-11-01       Impact factor: 21.596

Review 3.  The Mechanism of Cortico-Striato-Thalamo-Cortical Neurocircuitry in Response Inhibition and Emotional Responding in Attention Deficit Hyperactivity Disorder with Comorbid Disruptive Behavior Disorder.

Authors:  Yuncheng Zhu; Xixi Jiang; Weidong Ji
Journal:  Neurosci Bull       Date:  2018-03-05       Impact factor: 5.203

4.  Using Repeated-Measures Data to Make Stronger Tests of the Association between Executive Function Skills and Attention Deficit/Hyperactivity Disorder Symptomatology in Early Childhood.

Authors:  Michael T Willoughby; Amanda C Wylie; Clancy B Blair
Journal:  J Abnorm Child Psychol       Date:  2019-11

Review 5.  Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature.

Authors:  David S Grayson; Damien A Fair
Journal:  Neuroimage       Date:  2017-02-01       Impact factor: 6.556

6.  A NETWORK-BASED APPROACH TO STUDY OF ADHD USING TENSOR DECOMPOSITION OF RESTING STATE FMRI DATA.

Authors:  Jian Li; Anand A Joshi; Richard M Leahy
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2020-05-22

7.  Beery VMI and Brain Volumetric Relations in Autism Spectrum Disorder.

Authors:  Ryan R Green; Erin D Bigler; Alyson Froehlich; Molly B D Prigge; Brandon A Zielinski; Brittany G Travers; Jeffrey S Anderson; Andrew Alexander; Nicholas Lange; Janet E Lainhart
Journal:  J Pediatr Neuropsychol       Date:  2019-08-16

Review 8.  Attention-Deficit/Hyperactivity Disorder: A Historical Neuropsychological Perspective.

Authors:  E Mark Mahone; Martha B Denckla
Journal:  J Int Neuropsychol Soc       Date:  2017-10       Impact factor: 2.892

9.  Future Directions for Examination of Brain Networks in Neurodevelopmental Disorders.

Authors:  Lucina Q Uddin; Katherine H Karlsgodt
Journal:  J Clin Child Adolesc Psychol       Date:  2018-04-10

10.  Local functional connectivity suggests functional immaturity in children with attention-deficit/hyperactivity disorder.

Authors:  Luis Marcos-Vidal; Magdalena Martínez-García; Clara Pretus; David Garcia-Garcia; Kenia Martínez; Joost Janssen; Oscar Vilarroya; Francisco X Castellanos; Manuel Desco; Jorge Sepulcre; Susanna Carmona
Journal:  Hum Brain Mapp       Date:  2018-02-22       Impact factor: 5.038

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