Literature DB >> 29274748

Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology.

Laura O'Halloran1, Zhipeng Cao2, Kathy Ruddy1, Lee Jollans1, Matthew D Albaugh3, Andrea Aleni1, Alexandra S Potter3, Nigel Vahey1, Tobias Banaschewski4, Sarah Hohmann4, Arun L W Bokde5, Uli Bromberg6, Christian Büchel6, Erin Burke Quinlan7, Sylvane Desrivières7, Herta Flor8, Vincent Frouin9, Penny Gowland10, Andreas Heinz11, Bernd Ittermann12, Frauke Nees13, Dimitri Papadopoulos Orfanos9, Tomáš Paus14, Michael N Smolka15, Henrik Walter11, Gunter Schumann7, Hugh Garavan3, Clare Kelly1, Robert Whelan16.   

Abstract

Moment-to-moment reaction time variability on tasks of attention, often quantified by intra-individual response variability (IRV), provides a good indication of the degree to which an individual is vulnerable to lapses in sustained attention. Increased IRV is a hallmark of several disorders of attention, including Attention-Deficit/Hyperactivity Disorder (ADHD). Here, task-based fMRI was used to provide the first examination of how average brain activation and functional connectivity patterns in adolescents are related to individual differences in sustained attention as measured by IRV. We computed IRV in a large sample of adolescents (n = 758) across 'Go' trials of a Stop Signal Task (SST). A data-driven, multi-step analysis approach was used to identify networks associated with low IRV (i.e., good sustained attention) and high IRV (i.e., poorer sustained attention). Low IRV was associated with greater functional segregation (i.e., stronger negative connectivity) amongst an array of brain networks, particularly between cerebellum and motor, cerebellum and prefrontal, and occipital and motor networks. In contrast, high IRV was associated with stronger positive connectivity within the motor network bilaterally and between motor and parietal, prefrontal, and limbic networks. Consistent with these observations, a separate sample of adolescents exhibiting elevated ADHD symptoms had increased fMRI activation and stronger positive connectivity within the same motor network denoting poorer sustained attention, compared to a matched asymptomatic control sample. With respect to the functional connectivity signature of low IRV, there were no statistically significant differences in networks denoting good sustained attention between the ADHD symptom group and asymptomatic control group. We propose that sustained attentional processes are facilitated by an array of neural networks working together, and provide an empirical account of how the functional role of the cerebellum extends to cognition in adolescents. This work highlights the involvement of motor cortex in the integrity of sustained attention, and suggests that atypically strong connectivity within motor networks characterizes poor attentional capacity in both typically developing and ADHD symptomatic adolescents.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADHD; Attention; Functional connectivity; Reaction-time variability; SST; fMRI

Mesh:

Year:  2017        PMID: 29274748     DOI: 10.1016/j.neuroimage.2017.12.030

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

1.  Attention profiles in autism spectrum disorder and subtypes of attention-deficit/hyperactivity disorder.

Authors:  Sara Boxhoorn; Eva Lopez; Catharina Schmidt; Diana Schulze; Susann Hänig; Christine M Freitag
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-03-06       Impact factor: 4.785

2.  Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis.

Authors:  Alfredo A Pulini; Wesley T Kerr; Sandra K Loo; Agatha Lenartowicz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-06-27

3.  Functional connectivity predicts changes in attention observed across minutes, days, and months.

Authors:  Monica D Rosenberg; Dustin Scheinost; Abigail S Greene; Emily W Avery; Young Hye Kwon; Emily S Finn; Ramachandran Ramani; Maolin Qiu; R Todd Constable; Marvin M Chun
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-04       Impact factor: 11.205

4.  Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.

Authors:  Angus Ho Ching Fong; Kwangsun Yoo; Monica D Rosenberg; Sheng Zhang; Chiang-Shan R Li; Dustin Scheinost; R Todd Constable; Marvin M Chun
Journal:  Neuroimage       Date:  2018-12-03       Impact factor: 6.556

5.  Prenatal cannabis exposure predicts attention problems, without changes on fMRI in adolescents.

Authors:  Leigh-Anne Cioffredi; Hillary Anderson; Hannah Loso; James East; Philip Nguyen; Hugh Garavan; Alexandra Potter
Journal:  Neurotoxicol Teratol       Date:  2022-03-18       Impact factor: 4.071

6.  Delineating visual, auditory and motor regions in the human brain with functional neuroimaging: a BrainMap-based meta-analytic synthesis.

Authors:  Marisa K Heckner; Edna C Cieslik; Vincent Küppers; Peter T Fox; Simon B Eickhoff; Robert Langner
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

7.  A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.

Authors:  Masahiro Yamashita; Yujiro Yoshihara; Ryuichiro Hashimoto; Noriaki Yahata; Naho Ichikawa; Yuki Sakai; Takashi Yamada; Noriko Matsukawa; Go Okada; Saori C Tanaka; Kiyoto Kasai; Nobumasa Kato; Yasumasa Okamoto; Ben Seymour; Hidehiko Takahashi; Mitsuo Kawato; Hiroshi Imamizu
Journal:  Elife       Date:  2018-12-10       Impact factor: 8.140

8.  Identification of Brain Regions with Enhanced Functional Connectivity with the Cerebellum Region in Children with Attention Deficit Hyperactivity Disorder: A Resting-State fMRI Study.

Authors:  Li Ding; Gaofeng Pang
Journal:  Int J Gen Med       Date:  2021-05-27

9.  Genetic Insights Into ADHD Biology.

Authors:  Victoria Hayman; Thomas V Fernandez
Journal:  Front Psychiatry       Date:  2018-06-07       Impact factor: 4.157

10.  MRI Insights Into Adolescent Neurocircuitry-A Vision for the Future.

Authors:  Olga Tymofiyeva; Vivian X Zhou; Chuan-Mei Lee; Duan Xu; Christopher P Hess; Tony T Yang
Journal:  Front Hum Neurosci       Date:  2020-07-07       Impact factor: 3.169

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