Literature DB >> 26404018

Go/No Go task performance predicts cortical thickness in the caudal inferior frontal gyrus in young adults with and without ADHD.

Erik Newman1, Terry L Jernigan2,3,4,5, Krista M Lisdahl6, Leanne Tamm7, Susan F Tapert4, Steven G Potkin8, Daniel Mathalon9, Brooke Molina10, James Bjork11, F Xavier Castellanos12,13, James Swanson14, Joshua M Kuperman5,15, Hauke Bartsch15, Chi-Hua Chen4,15, Anders M Dale3,5,15,16, Jeffery N Epstein7.   

Abstract

Response inhibition deficits are widely believed to be at the core of Attention-Deficit Hyperactivity Disorder (ADHD). Several studies have examined neural architectural correlates of ADHD, but research directly examining structural correlates of response inhibition is lacking. Here we examine the relationship between response inhibition as measured by a Go/No Go task, and cortical surface area and thickness of the caudal inferior frontal gyrus (cIFG), a region implicated in functional imaging studies of response inhibition, in a sample of 114 young adults with and without ADHD diagnosed initially during childhood. We used multiple linear regression models to test the hypothesis that Go/No Go performance would be associated with cIFG surface area or thickness. Results showed that poorer Go/No Go performance was associated with thicker cIFG cortex, and this effect was not mediated by ADHD status or history of substance use. However, independent of Go/No Go performance, persistence of ADHD symptoms and more frequent cannabis use were associated with thinner cIFG. Go/No Go performance was not associated with cortical surface area. The association between poor inhibitory functioning and thicker cIFG suggests that maturation of this region may differ in low performing participants. An independent association of persistent ADHD symptoms and frequent cannabis use with thinner cIFG cortex suggests that distinct neural mechanisms within this region may play a role in inhibitory function, broader ADHD symptomatology, and cannabis use. These results contribute to Research Domain Criteria (RDoC) by revealing novel associations between neural architectural phenotypes and basic neurobehavioral processes measured dimensionally.

Entities:  

Keywords:  ADHD persistence; Alcohol use; Cannabis use; Cortical surface area; MRI; Response inhibition

Mesh:

Year:  2016        PMID: 26404018      PMCID: PMC4808505          DOI: 10.1007/s11682-015-9453-x

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  67 in total

1.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

2.  Increased marijuana use and gender predict poorer cognitive functioning in adolescents and emerging adults.

Authors:  Krista M Lisdahl; Jenessa S Price
Journal:  J Int Neuropsychol Soc       Date:  2012-05-22       Impact factor: 2.892

3.  Behavioral response inhibition in psychotic disorders: diagnostic specificity, familiality and relation to generalized cognitive deficit.

Authors:  Lauren E Ethridge; Melanie Soilleux; Paul A Nakonezny; James L Reilly; S Kristian Hill; Richard S E Keefe; Elliot S Gershon; Godfrey D Pearlson; Carol A Tamminga; Matcheri S Keshavan; John A Sweeney
Journal:  Schizophr Res       Date:  2014-09-26       Impact factor: 4.939

4.  Altered prefrontal and insular cortical thickness in adolescent marijuana users.

Authors:  Melissa P Lopez-Larson; Piotr Bogorodzki; Jadwiga Rogowska; Erin McGlade; Jace B King; Janine Terry; Deborah Yurgelun-Todd
Journal:  Behav Brain Res       Date:  2011-02-12       Impact factor: 3.332

5.  Clinical correlations of grey matter reductions in the caudate nucleus of adults with attention deficit hyperactivity disorder.

Authors:  Luis Guillermo Almeida Montes; Josefina Ricardo-Garcell; Lázaro Barajas Barajas De La Torre; Hugo Prado Alcántara; Reyna Beatriz Martínez García; Antonio Fernández-Bouzas; David Avila Acosta
Journal:  J Psychiatry Neurosci       Date:  2010-07       Impact factor: 6.186

6.  A Developmental Functional MRI Study of Prefrontal Activation during Performance of a Go-No-Go Task.

Authors:  B J Casey; R J Trainor; J L Orendi; A B Schubert; L E Nystrom; J N Giedd; F X Castellanos; J V Haxby; D C Noll; J D Cohen; S D Forman; R E Dahl; J L Rapoport
Journal:  J Cogn Neurosci       Date:  1997-11       Impact factor: 3.225

7.  Differences in feedback- and inhibition-related neural activity in adult ADHD.

Authors:  Pauline Dibbets; Lisbeth Evers; Petra Hurks; Natalie Marchetta; Jelle Jolles
Journal:  Brain Cogn       Date:  2009-02-07       Impact factor: 2.310

8.  Trajectories of cerebral cortical development in childhood and adolescence and adult attention-deficit/hyperactivity disorder.

Authors:  Philip Shaw; Meaghan Malek; Bethany Watson; Deanna Greenstein; Pietro de Rossi; Wendy Sharp
Journal:  Biol Psychiatry       Date:  2013-05-28       Impact factor: 13.382

9.  The go-no-go paradigm in attention deficit disorder.

Authors:  B L Trommer; J A Hoeppner; R Lorber; K J Armstrong
Journal:  Ann Neurol       Date:  1988-11       Impact factor: 10.422

Review 10.  Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis.

Authors:  Viktória Simon; Pál Czobor; Sára Bálint; Agnes Mészáros; István Bitter
Journal:  Br J Psychiatry       Date:  2009-03       Impact factor: 9.319

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  8 in total

1.  The impact of ADHD persistence, recent cannabis use, and age of regular cannabis use onset on subcortical volume and cortical thickness in young adults.

Authors:  Krista M Lisdahl; Leanne Tamm; Jeffery N Epstein; Terry Jernigan; Brooke S G Molina; Stephen P Hinshaw; James M Swanson; Erik Newman; Clare Kelly; James M Bjork
Journal:  Drug Alcohol Depend       Date:  2016-02-06       Impact factor: 4.492

2.  Distinct Regionalization Patterns of Cortical Morphology are Associated with Cognitive Performance Across Different Domains.

Authors:  C E Palmer; W Zhao; R Loughnan; J Zou; C C Fan; W K Thompson; A M Dale; T L Jernigan
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

3.  Neurodevelopmental Effects of Cannabis Use in Adolescents and Emerging Adults with ADHD: A Systematic Review.

Authors:  Philip B Cawkwell; David S Hong; John E Leikauf
Journal:  Harv Rev Psychiatry       Date:  2021 Jul-Aug 01       Impact factor: 3.868

4.  Cortical morphology of the pars opercularis and its relationship to motor-inhibitory performance in a longitudinal, developing cohort.

Authors:  Lauren B Curley; Erik Newman; Wesley K Thompson; Timothy T Brown; Donald J Hagler; Natacha Akshoomoff; Chase Reuter; Anders M Dale; Terry L Jernigan
Journal:  Brain Struct Funct       Date:  2017-07-29       Impact factor: 3.270

5.  Inconsistency in Abnormal Brain Activity across Cohorts of ADHD-200 in Children with Attention Deficit Hyperactivity Disorder.

Authors:  Jian-Bao Wang; Li-Jun Zheng; Qing-Jiu Cao; Yu-Feng Wang; Li Sun; Yu-Feng Zang; Hang Zhang
Journal:  Front Neurosci       Date:  2017-06-06       Impact factor: 4.677

Review 6.  Six Years of Research on the National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative: A Systematic Review.

Authors:  Dean Carcone; Anthony C Ruocco
Journal:  Front Cell Neurosci       Date:  2017-03-03       Impact factor: 5.505

7.  Evaluation of the diagnostic implications of Das-Naglieri cognitive assessment system in children with attention deficit hyperactivity disorder.

Authors:  Ling Qin; Hairun Liu; Hong Zhang; Yanhong Fu; Dandan Li
Journal:  BMC Psychiatry       Date:  2018-12-12       Impact factor: 3.630

8.  Naturalistic exploratory study of the associations of substance use on ADHD outcomes and function.

Authors:  Benjamin MacDonald; Joseph Sadek
Journal:  BMC Psychiatry       Date:  2021-05-12       Impact factor: 3.630

  8 in total

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