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Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction
L Yang, Y Du, W Yang, J Liu - Addiction Biology, 2023 - Wiley Online Library
Drug abuse is a serious problem worldwide. Owing to intermittent intake of certain
substances and the early inconspicuous clinical symptoms, this brings huge challenges for …
substances and the early inconspicuous clinical symptoms, this brings huge challenges for …
Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
KM von Deneen, H Hussain, J Waheed… - Journal of behavioral …, 2022 - akjournals.com
Background Recently, there has been significantly increased participation in online gaming
and other addictive behaviors particularly in adolescents. Tendencies to avoid social …
and other addictive behaviors particularly in adolescents. Tendencies to avoid social …
Meso-cortical pathway damage in cognition, apathy and gait in cerebral small vessel disease
Cerebral small vessel disease (SVD) is known to contribute to cognitive impairment, apathy
and gait dysfunction. Although associations between cognitive impairment and either apathy …
and gait dysfunction. Although associations between cognitive impairment and either apathy …
[HTML][HTML] Brain responses to drug cues predict craving changes in abstinent heroin users: A preliminary study
S Liu, S Wang, M Zhang, Y Xu, Z Shao, L Chen… - Neuroimage, 2021 - Elsevier
Background Loss of control over drug intake occurring in drug addiction is believed to result
from disruption of reward circuits, including reduced responsiveness to natural rewards (eg …
from disruption of reward circuits, including reduced responsiveness to natural rewards (eg …
[HTML][HTML] Investigation of white matter functional networks in young smokers
J Wang, T Xue, D Song, F Dong, Y Cheng, J Wang… - NeuroImage, 2024 - Elsevier
Aims This study investigated the changes in the organizational and intrinsical activities of the
white matter functional networks (WMFNs) in young smokers using resting-state functional …
white matter functional networks (WMFNs) in young smokers using resting-state functional …
Potential brain recovery of frontostriatal circuits in heroin users after prolonged abstinence: A preliminary study
L Lu, W Yang, X Zhang, F Tang, Y Du, L Fan… - Journal of Psychiatric …, 2022 - Elsevier
Neuroscientists have devoted efforts to explore potential brain recovery after prolonged
abstinence in heroin users (HU). However, not much is known about whether frontostriatal …
abstinence in heroin users (HU). However, not much is known about whether frontostriatal …
Estimating addiction-related brain connectivity by prior-embedding graph generative adversarial networks
C **g, Y Shen, S Zhao, Y Pan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The study of nicotine addiction mechanism is of great significance in both nicotine
withdrawal and brain science. The detection of addiction-related brain connectivity using …
withdrawal and brain science. The detection of addiction-related brain connectivity using …
Reduced thalamic resting‐state functional connectivity and impaired cognition in acute abstinent heroin users
M Zhang, S Liu, S Wang, Y Xu, L Chen… - Human brain …, 2021 - Wiley Online Library
As a critical component of cortico‐striato‐thalamo‐cortical loop in addiction, our
understanding of the thalamus in impaired cognition of heroin users (HU) has been limited …
understanding of the thalamus in impaired cognition of heroin users (HU) has been limited …
Brain recovery of the NAc fibers and prediction of craving changes in person with heroin addiction: A longitudinal study
Background Progress have been made in brain function recovery after long-term abstinence
in person with heroin addiction (PHA). However, less is known about whether the nucleus …
in person with heroin addiction (PHA). However, less is known about whether the nucleus …
[HTML][HTML] Dysfunction of the NAc-mPFC circuit in insomnia disorder
Z Shao, Y Xu, L Chen, S Wang, M Zhang, S Liu… - NeuroImage: Clinical, 2020 - Elsevier
Background Insomnia disorder (ID) is a prevalent sleep disorder, which seriously affects
people's daily life and was found to be associated with increased frequency of sleep stage …
people's daily life and was found to be associated with increased frequency of sleep stage …