Volume 13, Issue 2 (March & April 2022)                   BCN 2022, 13(2): 257-268 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Haghshenas Bilehsavar S, Batouli S A H, Soukhtanlou M, Alavi S, Oghabian M A. Different Olfactory Perception in Heroin Addicts Using Functional Magnetic Resonance Imaging. BCN 2022; 13 (2) :257-268
URL: http://bcn.iums.ac.ir/article-1-1736-en.html
1- Department of Neuroimaging and Analysis, Tehran University of Medical Sciences, Tehran, Iran.
2- Department of Psychology and Education, Alborz Campus, University of Tehran, Tehran, Iran.
3- Department of Addiction, School of Behavioural Sciences and Mental Health (Institute of Tehran Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
4- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Introduction: Addiction is a mental disorder that has many adverse effects on brain health. It alters brain structure and deteriorates brain functionality. Impairment of brain cognition in drug addiction is illustrated in many previous works; however, olfactory perception in addiction and, in particular, its neuronal mechanisms have rarely been studied. 
Methods: In this experiment, we recruited 20 heroin addicts and 20 normal controls of the same sex, age, handedness, and socioeconomic status and compared their brain function while perceiving non-craving odors during the functional magnetic resonance imaging (fMRI). We intended to define the default olfactory system performance in addicts compared to healthy people. 
Results: Our study showed an overall larger activation in addicts when processing olfactory stimuli. In particular, and when comparing the two groups, the right anterior cingulate and right superior frontal gyrus had higher activations than normal, whereas the left lingual gyrus and left cerebellum showed stronger activations in the addicts. 
Conclusion: The result of this study can unveil the missing components in addiction brain circuitry. This information is helpful in better understanding the neural mechanisms of addiction and may be advantageous in designing programs for addiction prevention or clinical treatment.

Type of Study: Original | Subject: Computational Neuroscience
Received: 2020/03/22 | Accepted: 2020/05/9 | Published: 2022/03/1

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Basic and Clinical Neuroscience

Designed & Developed by : Yektaweb