To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Methamphetamine (METH) dependence is a globally significant public health concern with no efficacious treatment. Trait impulsivity is associated with the initiation, maintenance, and recurrence of substance abuse. However, the presence of these associations in METH addiction, as well as the underlying neurobiological mechanisms, remains incompletely understood.
Methods
We scanned 110 individuals with METH use disorder (MUDs) and 55 matched healthy controls (HCs) using T1-weighted imaging and assessed their drug use characteristics and trait impulsivity. Surface-based morphometry and graph theoretical analysis were used to investigate group differences in brain morphometry and network attributes. Partial correlations were conducted to investigate the relationships between brain morphometric changes, drug use parameters, and trait impulsivity. Mediation analyses examined how trait impulsivity and drug craving influenced the link between brain morphometric change and MUD severity in patients.
Results
MUDs exhibited thinner thickness in the left fusiform gyrus and right pars opercularis, as well as diminished small-world properties in their structural covariance networks (SCNs) compared to HCs. Furthermore, reduced cortical thickness in the right pars opercularis was linked to motor impulsivity (MI) and MUD severity, and the association between the right pars opercularis thickness and MUD severity was significantly mediated by both MI and cue-induced craving.
Conclusions
These findings suggest that MUDs exhibit distinct brain structural abnormalities in both the cortical thickness and SCNs and highlight the critical role of impulse control in METH addiction. This insight may offer a potential neurobiological target for developing therapeutic interventions to treat addiction and prevent relapse.
Repetitive transcranial magnetic stimulation has been employed to treat drug dependence, reduce drug use and improve cognition. The aim of the study was to analyze the effectiveness of intermittent theta-burst stimulation (iTBS) on cognition in individuals with methamphetamine use disorder (MUD).
Methods
This was a secondary analysis of 40 MUD subjects receiving left dorsolateral prefrontal cortex (L-DLPFC) iTBS or sham iTBS for 20 times over 10 days (twice-daily). Changes in working memory (WM) accuracy, reaction time, and sensitivity index were analyzed before and after active and sham rTMS treatment. Resting-state EEG was also acquired to identify potential biological changes that may relate to any cognitive improvement.
Results
The results showed that iTBS increased WM accuracy and discrimination ability, and improved reaction time relative to sham iTBS. iTBS also reduced resting-state delta power over the left prefrontal region. This reduction in resting-state delta power correlated with the changes in WM.
Conclusions
Prefrontal iTBS may enhance WM performance in MUD subjects. iTBS induced resting EEG changes raising the possibility that such findings may represent a biological target of iTBS treatment response.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.