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Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder
Yanan Zhou1,2, Yang Hu3, Qianjin Wang1
1National Clinical Research Center for Mental Disorders, and Department of Psychiatry, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Abstract:
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.
Insights
Methamphetamine use disorder (MUD) is linked to cognitive deficits. This study found white matter changes in the left superior longitudinal fasciculus, particularly higher radial diffusivity, predict poorer processing speed and problem-solving in MUD patients.
Area of Science:
- Neuroscience
- Radiology
- Psychiatry
Background:
- Methamphetamine use disorder (MUD) is associated with significant neurocognitive impairments.
- The precise neuropathological basis of these cognitive deficits in MUD remains unclear.
- Existing diffusion tensor imaging (DTI) studies correlating diffusion parameters with neurocognitive function in MUD are limited.
Purpose of the Study:
- To investigate the association between cognitive performance and white matter microstructure in individuals with MUD.
- To identify specific DTI metrics and white matter tracts related to neurocognitive deficits in MUD.
- To explore potential neuroimaging biomarkers for MUD-related cognitive impairments.
Main Methods:
- Forty-five MUD patients and 43 healthy controls (HCs) underwent cognitive assessments (MATRICS Consensus Cognitive Battery) and DTI.
- DTI data were processed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) from various white matter tracts.
- Univariate tests and linear regression analyses were employed to compare groups and examine relationships between DTI metrics and cognitive scores.
Main Results:
- MUD patients exhibited lower scores in processing speed, attention, verbal learning, visual learning, and problem-solving compared to HCs.
- Patients with MUD showed significantly higher AD, MD, and RD values in the left superior longitudinal fasciculus (SLF).
- Radial diffusivity (RD) in the left SLF significantly predicted processing speed and problem-solving abilities.
Conclusions:
- This study highlights alterations in white matter microstructure, specifically the left SLF, associated with neurocognitive deficits in MUD.
- Increased radial diffusivity in the left SLF serves as a potential imaging biomarker for impaired processing speed and problem-solving in MUD.
- These findings enhance understanding of MUD's neuropathology and suggest targets for intervention.
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