White matter microstructure and impulsivity in methamphetamine dependence with and without a history of psychosis

Uhlmann, Anne; Fouché, Jean-Paul; Lederer, Katharina; Meintjes, Ernesta M.; Wilson, Don; Stein, Dan J.

doi:10.1002/hbm.23159

Cited by 31 publications

(29 citation statements)

References 66 publications

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“…Mean diffusivity has been correlated with the intercellular space and compactness of white matter, and greater mean diffusivity values were significantly correlated with negative psychotic symptoms in the study (Uhlmann, Fouche, Lederer, et al, ). High levels of self‐report impulsivity was associated with decreases in regional frontal white matter integrity measures in both MAP and methamphetamine users without psychosis (Uhlmann, Fouche, Lederer, et al, ). Another study found significant colinear relationships between serum protein levels and diffusion tensor imaging markers (i.e., white matter measures) in healthy controls that was disrupted in MAP and MA users (Breen et al, ).…”

Section: Biological Basis Of Mapmentioning

confidence: 66%

“…Uhlmann (2016) Decreases in fractional anisotropy signal a general decrease in white matter integrity, and increased radial and axial diffusivity has been related to decreased myelination and axonal integrity, respectively (Breen et al, 2017). Mean diffusivity has been correlated with the intercellular space and compactness of white matter, and greater mean diffusivity values were significantly correlated with negative psychotic symptoms in the study (Uhlmann, Fouche, Lederer, et al, 2016). High levels of self-report impulsivity was associated with decreases in regional frontal white matter integrity measures in both MAP and methamphetamine users without psychosis (Uhlmann, Fouche, Lederer, et al, 2016).…”

Section: Imaging Studiesmentioning

confidence: 81%

“…MAP patients have been shown to exhibit globally diminished white matter integrity (Breen et al, ; Uhlmann et al, ). Uhlmann (2016) et al observed lower fractional anisotropy in MAP compared with healthy controls.…”

Section: Biological Basis Of Mapmentioning

confidence: 99%

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Methamphetamine‐associated psychosis: Clinical presentation, biological basis, and treatment options

Chiang

Lombardi

et al. 2019

Human Psychopharmacology

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Introduction Methamphetamine associated psychosis (MAP) represents a mental disorder induced by chronic methamphetamine use in a subset of users. The prevalence of the disorder has increased in several countries in Europe and Asia where methamphetamine use has increased. MAP remains difficult to distinguish from primary psychiatric disorders, especially schizophrenia, creating complications in prescribing treatment plans to patients. Design This narrative review sought to summarize difficulties related to MAP diagnosis and highlight the need for a better treatment model. Current best practices are described and potential novel therapies and future research suggested. Results Results suggest that clear biological and clinical differences appear between patients presenting with MAP and schizophrenia and that there may exist distinct subgroups within MAP itself. MAP‐specific treatment studies have been few and have focused on the use of antipsychotic medication. Antipsychotic treatment has been shown to alleviate the psychotic symptoms of MAP but produce debilitating adverse effects and fail to adequately address methamphetamine use in patients. Conclusions Continued identification of subgroups within the heterogenous MAP population may lead to better diagnosis, treatment, and outcomes for patients. Psychosocial therapies should be explored in addressing the cooccurring substance use and psychosis in the treatment of MAP.

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Section: Biological Basis Of Mapmentioning

confidence: 66%

Section: Imaging Studiesmentioning

confidence: 81%

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Methamphetamine‐associated psychosis: Clinical presentation, biological basis, and treatment options

Chiang

Lombardi

et al. 2019

Human Psychopharmacology

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“…3). Nevertheless, any claims that antipsychotic agents may be effective in countering methamphetamine-associated brain connectivity abnormalities needs to be considered in light of (1) extensive white matter microstructural abnormalities in MAP patients drawn from the same cohort as reported on in this paper (Uhlmann et al, 2016); (2) the observation that the effects of haloperidol on intrinsic functional brain connectivity and cognition are likely to be complex, involving both linear and non-linear changes that are region-dependent (Cole et al, 2013), with these effects depending on baseline levels of dopamine which are themselves influenced by factors such as patterns of methamphetamine use and individual genetic variability (Cools and D'Esposito, 2011);and (3), the observation that the relatively specific D1 receptor blocking action of haloperidol has actually been linked to the suppression of frontal lobe function (Harvey et al, 1999). Although the effect on network connectivity of duration of (1) methamphetamine abstinence and (2) treatment with antipsychotics was confounded in this study by the strong association between the latter factors (Spearman rho = 0.91), there was preliminary evidence that longer treatment rectified anomalous interactions between DMN and CCN intrinsic networks in MAP patients.…”

Section: Discussionmentioning

confidence: 99%

“…Although the effect on network connectivity of duration of (1) methamphetamine abstinence and (2) treatment with antipsychotics was confounded in this study by the strong association between the latter factors (Spearman rho = 0.91), there was preliminary evidence that longer treatment rectified anomalous interactions between DMN and CCN intrinsic networks in MAP patients. Nevertheless, any claims that antipsychotic agents may be effective in countering methamphetamine-associated brain connectivity abnormalities needs to be considered in light of (1) extensive white matter microstructural abnormalities in MAP patients drawn from the same cohort as reported on in this paper (Uhlmann et al, 2016); (2) the observation that the effects of haloperidol on intrinsic functional brain connectivity and cognition are likely to be complex, involving both linear and non-linear changes that are region-dependent (Cole et al, 2013), with these effects depending on baseline levels of dopamine which are themselves influenced by factors such as patterns of methamphetamine use and individual genetic variability (Cools and D'Esposito, 2011);and (3), the observation that the relatively specific D1 receptor blocking action of haloperidol has actually been linked to the suppression of frontal lobe function (Harvey et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

Distinct intrinsic functional brain network abnormalities in methamphetamine‐dependent patients with and without a history of psychosis

et al. 2016

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Chronic methamphetamine use is associated with executive functioning deficits that suggest dysfunctional cognitive control networks (CCNs) in the brain. Likewise, abnormal connectivity between intrinsic CCNs and default mode networks (DMNs) has also been associated with poor cognitive function in clinical populations. Accordingly, we tested the extent to which methamphetamine use predicts abnormal connectivity between these networks, and whether, as predicted, these abnormalities are compounded in patients with a history of methamphetamine-associated psychosis (MAP). Resting-state fMRI data were acquired from 46 methamphetamine-dependent patients [19 with MAP, 27 without (MD)], as well as 26 healthy controls (CTRL). Multivariate network modelling and whole-brain voxel-wise connectivity analyses were conducted to identify group differences in intrinsic connectivity across four cognitive control and three DMN networks identified using an independent components analysis approach (meta-ICA). The relationship of network connectivity and psychotic symptom severity, as well as antipsychotic treatment and methamphetamine use variables, was also investigated. Robust evidence of hyper-connectivity was observed between the right frontoparietal and anterior DMN networks in MAP patients, and 'normalized' with increased duration of treatment with antipsychotics. Attenuation of anticorrelated anterior DMN-dorsal attention network activity was also restricted to this group. Elevated coupling detected in MD participants between anterior and posterior DMN networks became less apparent with increasing duration of abstinence from methamphetamine. In summary, we observed both alterations of RSN connectivity between DMN networks with chronic methamphetamine exposure, as well as DMN-CCN coupling abnormalities consistent with possible MAP-specific frontoparietal deficits in the biasing of task-appropriate network activity.

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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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White matter microstructure and impulsivity in methamphetamine dependence with and without a history of psychosis

Cited by 31 publications

References 66 publications

Methamphetamine‐associated psychosis: Clinical presentation, biological basis, and treatment options

Methamphetamine‐associated psychosis: Clinical presentation, biological basis, and treatment options

Distinct intrinsic functional brain network abnormalities in methamphetamine‐dependent patients with and without a history of psychosis

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

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