Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research
Open accessAbstract
Individuals who abuse substances often differ from nonusers in their brain structure. Substance abuse and addiction is often associated with atrophy and pathology of grey matter, but much less is known about the role of white matter, which constitutes over half of human brain volume. Diffusion tensor imaging (DTI), a method for non-invasively estimating white matter, is increasingly being used to study addiction and substance abuse. Here we review recent DTI studies of major substances of abuse (alcohol, opiates, cocaine, cannabis, and nicotine substance abuse) to examine the relationship, specificity, causality, and permanence of substance-related differences in white matter microstructure. Across substance, users tended to exhibit differences in the microstructure of major fiber pathways, such as the corpus callosum. The direction of these differences, however, appeared substance-dependent. The subsample of longitudinal studies reviewed suggests that substance abuse may cause changes in white matter, though it is unclear to what extent such alterations are permanent. While collectively informative, some studies reviewed were limited by methodological and technical approach. We therefore also provide methodological guidance for future research using DTI to study substance abuse.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 19 cited sources checked · 0 supported · 0 flagged
- Finding
Binge-drinking adolescents were found to have lower fractional anisotropy than controls.
“Two independent research groups found that binge-drinking adolescents—compared to controls—had lower FA (Badsberg Jensen & Pakkenberg, 1993; McQueeny et al., 2009).”
Quote in the paperNot yet classified0 of 2 sources checked- cites Badsberg Jensen & Pakkenberg, 1993
Not checked in the free run.
- cites McQueeny et al., 2009 source
Not checked in the free run.
- Finding
Following prolonged abstinence, alcohol or opiate users can show white matter microstructure that is not significantly different from nonusers.
“Following prolonged abstinence, abusers of alcohol (Pfefferbaum et al., 2014) or opiates (Wang et al., 2011) have white matter microstructure that is not significantly different from nonusers.”
Quote in the paperNot yet classified0 of 2 sources checked - Finding
Opiate-abusing individuals consistently exhibit lower fractional anisotropy and lower axial diffusivity relative to non-using controls.
“Relative to non-using controls, opiate-abusing individuals consistently exhibit both lower FA (Bora et al., 2012; Fu et al., 2008; Li et al., 2013; Qiu et al., 2013; Wang et al., 2011) and lower AD (Bora et al., 2012; Qiu et al., 2013).”
Quote in the paperNot yet classified0 of 3 sources checked- cites Bora et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Fu et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Li et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Finding
Alcohol abuse is associated with lower white matter volume.
“Gross anatomical estimations indicate that alcohol-abusing individuals have lower white matter volume (Arnone et al., 2008; Pfefferbaum, Adalsteinsson, & Sullivan, 2006).”
Quote in the paperNot yet classified0 of 2 sources checked- cites Arnone et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Pfefferbaum, Adalsteinsson, & Sullivan, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Finding
The corpus callosum was the most consistently implicated pathway, with nearly half of studies finding at least one significant microstructural difference there.
“nearly half of the studies reviewed found at least one significant microstructural difference in the corpus callosum, as measured by FA.”
Quote in the paperNot yet classified
- Finding
Cocaine users were reported to have lower white matter fractional anisotropy than controls in several DTI studies.
“Several recent DTI studies have found that cocaine users had lower white matter FA relative to controls (Azadeh et al., 2016; Romero, Asensio, Palau, Sanchez, & Romero, 2010).”
Quote in the paperNot yet classified0 of 2 sources checked - Finding
Longitudinal studies reviewed suggest that substance abuse may cause changes in white matter, but the permanence of those changes remains uncertain.
“The subsample of longitudinal studies reviewed suggests that substance abuse may cause changes in white matter, though it is unclear to what extent such alterations are permanent.”
Quote in the paperNot yet classified - Finding
Heavy nicotine use has been associated with lower white matter fractional anisotropy in some studies.
“In chronic nicotine users, heavy consumption has been associated with lower FA (Lin, Wu, Zhu, & Lei, 2013) and higher FA (Paul et al., 2008), as well has both lower RD (Wang et al., 2017) and higher RD (Lin et al., 2013).”
Quote in the paperNot yet classified0 of 3 sources checked- cites Lin, Wu, Zhu, & Lei, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Paul et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wang et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Finding
For cocaine, longitudinal and related evidence suggests that cocaine use negatively impacts white matter microstructure.
“Together, these studies provide fairly consistent evidence that cocaine abuse negatively impacts white matter microstructure (Ma et al., 2017).”
Quote in the paperNot yet classified0 of 1 sources checked- cites Ma et al., 2017
Not checked in the free run.
- Finding
The direction of white matter microstructural differences appears to depend on the substance being used.
“The direction of these differences, however, appeared substance-dependent.”
Quote in the paperNot yet classified - Finding
The only longitudinal cannabis study reviewed suggested that cannabis use causes white matter changes.
“For cannabis, the only longitudinal study in this literature similarly suggests that cannabis use causes white matter changes, not the reverse.”
Quote in the paperNot yet classified - Finding
Alcohol abuse likely induces white matter changes rather than the reverse, based on longitudinal evidence.
“Together, these results support the notion that alcohol abuse likely induces white matter changes, not vice versa.”
Quote in the paperNot yet classified - Finding
The authors conclude that substance-related white matter alterations may be at least partly reversible with abstinence.
“It is therefore possible that, at least to some degree, abstinence can reverse effects of substance abuse on white matter.”
Quote in the paperNot yet classified - Finding
Across substances, many studies found differences in major white matter fiber pathways, especially the corpus callosum.
“Across substance of abuse, the majority of the studies reviewed found differences in major white matter fiber pathways such as the corpus callosum, superior and inferior longitudinal fasciculi.”
Quote in the paperNot yet classified - Finding
The review finds a relationship between substance abuse and differences in white matter microstructure, with effects varying by substance and often involving major fiber pathways such as the corpus callosum.
“Across substance, users tended to exhibit differences in the microstructure of major fiber pathways, such as the corpus callosum.”
Quote in the paperNot yet classified - Finding
Many reviewed studies were limited by scanner hardware and acquisition choices such as 1.5 Tesla scanners, unreported head coil information, and too few gradient directions.
“First, several studies used a 1.5 Tesla MRI scanner. This is likely because 3T scanners were less widely available even ten years ago. Nonetheless, 3T scanners have superior signal-to-noise ratio and therefore are preferable”
Quote in the paperNot yet classified0 of 1 sources checked- cites Gonen, Gruber, Li, Mlynárik, & Moser, 2001
Not checked in the free run.
- Method
The authors recommend probabilistic tractography for examining specific white matter tracts because it is more robust to crossing and kissing fibers.
“Probabilistic tractography is recommended as it has greatly improved robustness to the many kissing and crossing white matter fibers of the brain (Behrens, Berg, Jbabdi, Rushworth, & Woolrich, 2007).”
Quote in the paperNot yet classified0 of 1 sources checked- cites Behrens, Berg, Jbabdi, Rushworth, & Woolrich, 2007 source
Not checked in the free run.
- Background
Diffusion tensor imaging is a magnetic resonance imaging technique that estimates white matter in vivo.
“Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that estimates white matter in vivo (Bihan et al., 2001) and is increasingly being used to study the biology of addiction.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Bihan et al., 2001 source
Not checked in the free run.
- Method
The paper provides methodological guidance for future diffusion tensor imaging research on substance abuse.
“We therefore also provide methodological guidance for future research using DTI to study substance abuse.”
Quote in the paperNot yet classified - Method
The review included articles published through December 2018 that used diffusion weighted or tensor MRI, were published no earlier than 2008, and had enough sample size for at least group-level statistics.
“This search included articles published through December of 2018. Inclusion criteria were: (i) employed diffusion weighted or tensor magnetic resonance imaging; (ii) published no earlier than 2008; (iii) sample size sufficiently powered to conduct at least group level statistics.”
Quote in the paperNot yet classified - Method
The authors encourage future study of tracts connecting addiction-related brain areas, especially frontostriatal connectivity.
“Specifically, we encourage future study of tracts that connect addiction-related brain areas (Kalivas & Volkow, 2005) such as the ventral striatum, ventral tegmental area, ventral pallidum, the extended amygdala, orbitofrontal cortex, and thalamus.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Kalivas & Volkow, 2005 source
Not checked in the free run.
- Method
The review aims to examine the relationship, specificity, and directionality of substance-related differences in white matter microstructure across major substances of abuse.
“In this review, we survey the past decade of DTI research with the goal of examining the relationship, specificity, and directionality, of substance-related differences in white matter microstructure.”
Quote in the paperNot yet classified - Method
The authors searched Web of Science and PubMed with DTI-related white matter terms and substance-of-abuse terms, including alcohol, cannabis, cocaine, nicotine, and opiates.
“We searched the Web of Science database (http://apps.webofknowledge.com/) and PubMed (https://www.ncbi.nlm.nih.gov/pubmed/) using the following Boolean criteria: “white matter” AND (“DTI” OR “DWI” OR “diffusion” OR “dMRI”) AND “[substance of abuse]”.”
Quote in the paperNot yet classified
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Nicotine longitudinal studies are both absent and cited as observed
MinorThe longitudinal-research section says none of the reviewed nicotine studies used a longitudinal design. The discussion later refers to white-matter changes observed in longitudinal nicotine studies.
“For nicotine, none of the studies reviewed utilized an longitudinal design.”
“There was also no evidence that the white matter microstructural changes observed in longitudinal studies of cannabis, nicotine, or cocaine were completely irreparable.”
The citation lists haven’t been fetched yet
References 118 · Cited by 95
- Authors
- Hampton, W. H., Hanik, I. M., & Olson, I. R.
- Affiliations
- Temple University (US)
- Corresponding author
- Olson, Ingrid R.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 197
- Pages
- 288-298
- ISSN
- 0376-8716 (ISSN-L)
- PMC
- PMC6440853
- OpenAlex
- W2912949885
- Semantic Scholar
- 26dd5de1a9130432b39f0556b0510a5a7a333c26
- Cited by
- 95
- References
- 118
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 14 · 2023: 11 · 2022: 22 · 2021: 18 · 2020: 6
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Drug and Alcohol Dependence (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
- Funders
- NIH
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- substance abuse, white matter microstructure, diffusion tensor imaging, alcoholism, opioid use disorder, cocaine dependence, cannabis use disorder, nicotine dependence, corpus callosum, brain structure, longitudinal change, causality
- MeSH terms
- Corpus Callosum, Female, Humans, Longitudinal Studies, Male, Sensitivity and Specificity, Substance-Related Disorders, Biomedical Research, Diffusion Tensor Imaging, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read (extract-v1) on 2026-09-24.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review