Regional differences in white matter integrity in stimulant use disorders: A meta-analysis of diffusion tensor imaging studies

Beard, Charlotte L.; Schmitz, Joy M.; Soder, Heather E.; Suchting, Robert; Yoon, Jin Ho; Hasan, Khader M.; Narayana, Ponnada A.; Moeller, F. Gerard; Lane, Scott D.

doi:10.1016/j.drugalcdep.2019.03.023

Cited by 28 publications

(30 citation statements)

References 55 publications

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“…Inclusion and exclusion criteria were determined by the authors with the goal of identifying matched groups of primary stimulant use in comparison with HC participants. Criteria were created in order to capture a broad range of WM imaging studies and included the following 1 : diagnosis of stimulant use/dependence based on the Diagnostic and Statistical Manual of Mental Disorders (DSM) (Fourth Edition) (DSM‐IV), DSM (Fifth Edition) (DSM‐5), International Classification of Diseases (Ninth Revision) (ICD‐9), or ICD Tenth Revision (ICD‐10) criteria 2 ; simulant use disorder identified as the primary mental health disorder 3 ; inclusion of one more major WM tract (including whole brain) 4 ; experimental or quasi‐experimental design with an HC comparison 5 ; FA reported outcome 6 ; full‐length research article (i.e., no conference proceedings) published in a peer‐reviewed journal 7 ; English language text 8 ; and adult human participants. The WM tract criterion 3 was branched subsequently into a group of ROI‐based analysis and TBSS studies.…”

Section: Methodsmentioning

confidence: 99%

“…The WM tract criterion 3 was branched subsequently into a group of ROI‐based analysis and TBSS studies. Results from a meta‐analysis on the former group were reported in a previous manuscript 7 . The latter group was used for the present analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, we systematically reviewed findings from DTI studies that focused on region‐of‐interest (ROI)‐based analysis of WM integrity in stimulant (primarily cocaine) users compared with healthy controls (HCs) 7 . Our meta‐analysis, based on 11 studies, found significantly lower FA values in subjects with stimulant use disorders: across all regions, there was a small‐to‐moderate overall group difference, Hedge's g = −0.37 (where Hedge's g provides an corrected index of effect size similar to Cohen's d ).…”

Section: Introductionmentioning

confidence: 99%

“…Tract‐based spatial statistics (TBSS) provides improved sensitivity and objectivity for DTI analysis of group‐level data via nonlinear registration techniques and use of a single, averaged FA skeleton 9 . Our previous meta‐analysis 7 was limited to examining specific regions of interest; TBSS enables an unbiased whole‐brain voxel‐wise mapping of WM and offers an estimate of whole‐brain WM diffusivity metrics (i.e., AD, RD, and FA) across groups of multiple subjects. The number of studies using TBSS‐based methodology to measure WM in psychostimulant users is small, relative to ROI‐based studies.…”

Section: Introductionmentioning

confidence: 99%

“…Building on prior work, 7 the goal of the present study was to investigate WM integrity in individuals with stimulant use disorders in comparison with HCs utilizing results from whole‐brain DTI. A seed‐based d mapping (SDM) technique was used to conduct a meta‐analysis of studies employing TBSS analysis of DTI imaging data 14 .…”

Section: Introductionmentioning

confidence: 99%

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A meta‐analysis of tract‐based spatial statistics studies examining white matter integrity in cocaine use disorder

et al. 2020

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Tract‐based spatial statistics (TBSS) of diffusion tensor imaging (DTI) studies have consistently shown diminished white matter (WM) integrity for individuals with cocaine use disorder (CUD). The present study used seed‐based d mapping (SDM) to determine the extent to which a systematic difference in the WM integrity of cocaine users may exist (as compared with that of healthy controls). Articles from 2006 (when TBSS was first developed) to present were reviewed, with eight selected for inclusion. Meta‐analysis found lower fractional anisotropy (FA) in the genu of the corpus callosum for cocaine users, with a small‐to‐moderate peak effect size (Hedge's g = −0.331). Sensitivity analyses mostly supported the robustness of the obtained difference. Differences detected at exploratory thresholds for significance suggested insult to WM integrity extending beyond the corpus callosum. The present results compliment a previous region‐of‐interest (ROI)‐based meta‐analysis of DTI studies in individuals with CUD. These findings have significant implications for the potential role of neuroprotective agents in the treatment of CUD and merit additional iteration as more studies accrue in the literature.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A meta‐analysis of tract‐based spatial statistics studies examining white matter integrity in cocaine use disorder

et al. 2020

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Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder

Zhou

Wang

et al. 2022

Human Brain Mapping

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Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty‐five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem‐solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem‐solving ability, as shown by the digit‐symbol coding test and NAB‐Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.

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Neuroimaging Studies in Drug Abusers

Büttner

2020

Neuropathology of Drug Abuse

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Regional differences in white matter integrity in stimulant use disorders: A meta-analysis of diffusion tensor imaging studies

Cited by 28 publications

References 55 publications

A meta‐analysis of tract‐based spatial statistics studies examining white matter integrity in cocaine use disorder

A meta‐analysis of tract‐based spatial statistics studies examining white matter integrity in cocaine use disorder

Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder

Neuroimaging Studies in Drug Abusers

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