The University of Southampton
University of Southampton Institutional Repository

Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta-analyses and reflections on head motion

Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta-analyses and reflections on head motion
Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta-analyses and reflections on head motion
BACKGROUND: Diffusion tensor imaging studies have shown atypical fractional anisotropy (FA) in individuals with attention-deficit/hyperactivity disorder (ADHD), albeit with conflicting results. We performed meta-analyses of whole-brain voxel-based analyses (WBVBA) and tract-based spatial statistics (TBSS) studies in ADHD, along with a qualitative review of TBSS studies addressing the issue of head motion, which may bias results.

METHODS: We conducted a systematic literature search (last search on April 1st, 2016) to identify studies comparing FA values between individuals with ADHD and typically developing (TD) participants. Signed differential mapping was used to compute effect sizes and integrate WBVBA and TBSS studies, respectively. TBSS datasets reporting no between-group motion differences were identified.

RESULTS: We identified 14 WBVBA (ADHDn = 314, TDn = 278) and 13 TBSS datasets (ADHDn = 557, TDn = 568). WBVBA meta-analysis showed both significantly lower and higher FA values in individuals with ADHD; TBSS meta-analysis showed significantly lower FA in ADHD compared with TD in four clusters: two in the corpus callosum (isthmus and posterior midbody), one in right inferior fronto-occipital fasciculus, and one in left inferior longitudinal fasciculus. However, four of six datasets confirming no group-differences in motion showed no significant between-group FA differences.

CONCLUSIONS: A growing diffusion tensor imaging (DTI) literature (total N = 1,717) and a plethora of apparent findings suggest atypical interhemispheric connection in ADHD. However, FA results in ADHD should be considered with caution, since many studies did not examine potential group differences in head motion, and most of the studies reporting no difference in motion showed no significant results. Future studies should address head motion as a priority and assure that groups do not differ in head motion.
Aoki, Yuta
806ea614-51b3-4018-b68b-d12b7f1487c1
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
Castellanos, Francisco Xavier
c832541f-fe47-4c68-bd70-07da14340cf7
Aoki, Yuta
806ea614-51b3-4018-b68b-d12b7f1487c1
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
Castellanos, Francisco Xavier
c832541f-fe47-4c68-bd70-07da14340cf7

Aoki, Yuta, Cortese, Samuele and Castellanos, Francisco Xavier (2017) Diffusion tensor imaging studies of attention-deficit/hyperactivity disorder: meta-analyses and reflections on head motion. Journal of Child Psychology & Psychiatry. (doi:10.1111/jcpp.12778).

Record type: Article

Abstract

BACKGROUND: Diffusion tensor imaging studies have shown atypical fractional anisotropy (FA) in individuals with attention-deficit/hyperactivity disorder (ADHD), albeit with conflicting results. We performed meta-analyses of whole-brain voxel-based analyses (WBVBA) and tract-based spatial statistics (TBSS) studies in ADHD, along with a qualitative review of TBSS studies addressing the issue of head motion, which may bias results.

METHODS: We conducted a systematic literature search (last search on April 1st, 2016) to identify studies comparing FA values between individuals with ADHD and typically developing (TD) participants. Signed differential mapping was used to compute effect sizes and integrate WBVBA and TBSS studies, respectively. TBSS datasets reporting no between-group motion differences were identified.

RESULTS: We identified 14 WBVBA (ADHDn = 314, TDn = 278) and 13 TBSS datasets (ADHDn = 557, TDn = 568). WBVBA meta-analysis showed both significantly lower and higher FA values in individuals with ADHD; TBSS meta-analysis showed significantly lower FA in ADHD compared with TD in four clusters: two in the corpus callosum (isthmus and posterior midbody), one in right inferior fronto-occipital fasciculus, and one in left inferior longitudinal fasciculus. However, four of six datasets confirming no group-differences in motion showed no significant between-group FA differences.

CONCLUSIONS: A growing diffusion tensor imaging (DTI) literature (total N = 1,717) and a plethora of apparent findings suggest atypical interhemispheric connection in ADHD. However, FA results in ADHD should be considered with caution, since many studies did not examine potential group differences in head motion, and most of the studies reporting no difference in motion showed no significant results. Future studies should address head motion as a priority and assure that groups do not differ in head motion.

Text
Aoki et al. JCPP - Accepted Manuscript
Download (166kB)
Text
Aoki_et_al-2017-Journal_of_Child_Psychology_and_Psychiatry - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 30 May 2017
e-pub ahead of print date: 3 July 2017

Identifiers

Local EPrints ID: 412927
URI: http://eprints.soton.ac.uk/id/eprint/412927
PURE UUID: a3eff222-106a-4f8d-b96b-9d54c72ea0bd
ORCID for Samuele Cortese: ORCID iD orcid.org/0000-0001-5877-8075

Catalogue record

Date deposited: 08 Aug 2017 16:31
Last modified: 16 Mar 2024 05:35

Export record

Altmetrics

Contributors

Author: Yuta Aoki
Author: Samuele Cortese ORCID iD
Author: Francisco Xavier Castellanos

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×