1. Classification accuracy and functional difference prediction in different brain regions of drug abuser prefrontal lobe basing on machine-learning
- Author
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Xuelin Gu, Banghua Yang, Ding Xu, and Shouwei Gao
- Subjects
drug addiction ,Ventrolateral prefrontal cortex ,media_common.quotation_subject ,fnirs ,Prefrontal Cortex ,02 engineering and technology ,behavioral disciplines and activities ,Heroin ,Drug Users ,0502 economics and business ,mental disorders ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,QA1-939 ,Humans ,accuracy of brain regions ,Prefrontal cortex ,media_common ,brodmann areas ,Prefrontal lobe ,Spectroscopy, Near-Infrared ,Applied Mathematics ,Addiction ,05 social sciences ,Brain ,General Medicine ,Methamphetamine ,Dorsolateral prefrontal cortex ,Computational Mathematics ,medicine.anatomical_structure ,machine learning ,Modeling and Simulation ,020201 artificial intelligence & image processing ,Orbitofrontal cortex ,General Agricultural and Biological Sciences ,Psychology ,Neuroscience ,differences in brain function ,050203 business & management ,psychological phenomena and processes ,TP248.13-248.65 ,Mathematics ,medicine.drug ,Biotechnology - Abstract
Taking different types of addictive drugs such as methamphetamine, heroin, and mixed drugs causes brain functional Changes. Based on the prefrontal functional near-infrared spectroscopy, this study was designed with an experimental paradigm that included the induction of resting and drug addiction cravings. Hemoglobin concentrations of 30 drug users (10 on methamphetamine, 10 on heroin, and 10 on mixed type) were collected. For these three types of individuals, the convolutional neural networks (CNN) was designed to classify eight Brodmann areas and the entire prefrontal area, and the average accuracy of the three classifications on each functional area was obtained. As a result, the classification accuracy was lower on the left side than on the right in the dorsolateral prefrontal cortex (DLPFC) of the drug users, while it was higher on the left than on the right in the ventrolateral prefrontal cortex (VLPFC), frontopolar prefrontal cortex (FPC), and orbitofrontal cortex (OFC). Then the differences in eight functional areas between the three types of individuals were statistically analyzed, and results showed significant differences in the right VLPFC and right OFC.
- Published
- 2021
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