Background: Coronavirus 2019 (COVID-19) spreads rapidly worldwide and causes severe acute respiratory syndrome. The current study aimed at evaluating the relationship between the whole-brain functional connections in resting state and cognitive impairments in patients with COVID-19 compared with that of a healthy control group. Methods: Resting-state fMRI and Montreal cognitive assessment (MoCA) data were obtained from 29 patients of the acute stage of COVID-19 on the third day of admission and 20 healthy controls. Cross-correlation of the mean resting-state signals was determined in the voxels of 23 IC (Independent Components) of brain neural circuits. To assess cognitive function and neuropsychological status, MoCA was performed on all participants. The relationship between rs-fMRI information, neuropsychological status, and paraclinical data were analyzed. Results: The COVID-19 group got a lower mean MoCA score and showed a significant reduction in the functional connectivity of the IC14 (P <0.001) and IC38 (P <0.001) regions compared with controls. The increase of functional connectivity was observed in the COVID-19 group compared with controls at baseline in the default mode network (DMN) IC00 (P <0.001) and dorsal attention network (DAN) IC08 (P <0.001) regions. Furthermore, alternation of functional connectivity in the mentioned ICs was significantly correlated with the mean Montreal Cognitive Assessment (MoCA) scores and inflammatory parameters-ie, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP). Conclusions: Functional connectivity abnormalities in four brain neural circuits associated with cognitive impairment and increased inflammatory markers in patients with COVID-19.

Background: Methamphetamine (meth) is recognized as a highly addictive psychostimulant. Currently, there are no available treatments for meth abuse, and no animal model of meth self-administration has been proposed to represent human meth selfadministration. Objectives: We aimed to develop a model to study meth self-administration through inhalation in rats. Methods: Rats were placed in an inhaler apparatus (designed specifically for this purpose) for 15 min per day over two weeks. There were two levers in the cage. Pressing the passive lever had no outcomes. Whereas, for each active lever pressing, an infusion pump delivered 50 µL of meth or distilled water within two seconds. Meth was evaporated on a hot plate adjacent to the rat cage. After loading the drug over the hot plate, the blower fan was run, and the vaporized drug was blown by the fan into the rat cage. Then, meth-induced conditioned place preference and locomotor activity were assessed following 14 days of meth inhalation. The serum concentration of meth was also determined by gas chromatography-mass spectrometry. Results: In this model, the self-administration of meth through inhalation significantly increased locomotor activity, conditioned place preference, and plasma level of meth. Conclusions: We can conclude that the self-administration of meth through inhalation is a novel and effective route of selfadministration. Our new protocol presents a promising tool for examining drug-seeking/taking behaviors and neural consequences in a noninvasive approach to reduce the stress of surgery and injection in laboratory animals and increase the validity of animal experiments.

Background: The Yale Food Addiction Scale version 2.0 (YFAS 2.0) is used for the assessment of food addiction (FA). This research intended to evaluate the validity of the Persian translation of the questionnaire and to investigate the psychological properties and the association between FA and anthropometric indices. Methods: In a sample of 473 nonclinical participants, FA, binge eating, and objectively measured anthropometric indices were assessed. Internal consistency, convergent, and validity of the PYFAS 2.0 were examined. Also, the factor structure (confirmatory factor analysis following the 11 diagnostic indicators in addition to the significant distress) and the construct of the scale were evaluated. Findings: The frequencies of mild, moderate, and severe FA based on PYFAS 2.0 were 0.2%, 10%, and 5.5%, respectively. The findings supported a one-factor structure. The confirmatory factor analysis revealed a good construct validity (RMSEA=0.043, χ2=76.38, df=41, χ2 (CMIN)/df=1.862, GFI=0.975, AGFI=0.957, IFI=0.986, RFI=0.958, ECVI=0.319, TLI=0.978). For both the diagnostic and symptom count versions, the PYFAS 2.0 presented acceptable internal consistency (IC) (Kuder-Richardson 20=0.99 and McDonald omega=0.91). Conclusion: The PYFAS 2.0 was a psychometrically sound instrument in an Iranian non-clinical population. This questionnaire can be used to study FA in Persian non-clinical populations. Future research should study the psychometric characteristics of this scale in high-risk groups.

Objective: The present study aimed to compare lapse and relapse-free survival between patients treated in Narcotics Anonymous (NA) groups and Methadone Maintenance Treatment (MMT) centers and to determine the relationship between social support scale and treatment outcome. Method: This study was a prospective, 12-month cohort study using the random sampling method to select 100 newcomer patients treated by the NA Association as well as 100 patients in MMT centers. The data were collected using a demographic questionnaire and Social Support Appraisals (SSA) scale at the onset of the study along with follow-up phone calls every other week. Results: All participants were male, aged between 18 and 65 with a mean (SD) age of 38.98 (± 10.85) years. Prevalence of relapse in 12 months was 60.5%. The lapses in the MMT group and relapses in the NA group were significantly higher (P < 0.001). The younger patients with lower levels of education are at greater risk of lapse/relapse. The mean score of SSA was significantly higher in the MMT group than the NA group in all subscales, including friends, family, and the others' support (P < 0.001). The mean scores of SSA subscales for the participants without relapse in the NA group was significantly higher in comparison to the MMT group. Conclusion: Detection of factors related to drug abuse relapse/lapse may help addiction therapists to identify drug abuse patients with lapse/relapse and to develop treatment and policy guidelines to prevent relapse in addiction recovery.

Objective: Chronic METH use results in neurodegenerative alternations in the human brain. The present study aimed to assess the long-term METH impact on brain metabolite concentrations in cases meeting the DSM-5 criteria regarding METH use. Method: We recruited 42 METH users meeting the DSM-5 criteria and 21 healthy controls. Psychotic signs were measured using the Positive and Negative Syndrome Scale (PANSS). Proton magnetic resonance spectroscopy (1HMRS) evaluating Myo-inositol (Ml), Choline (Cho), Glutamine plus Glutamate (Glx), N-acetyl aspartate (NAA), and Creatine (Cre) were obtained in the dopaminergic pathway (Frontal Cortex, Substantia nigra, Ventral Tegmental Area (VTA), Nucleus Accumbens (NAc), Hippocampus, Striatum,) the subjects. All participants collected urine specimens for 24 hours to measure presence of specific metabolites including METH metabolite level, 5-Hydroxy indoleacetic acid metabolite (for serotonin level monitoring), and metanephrine metabolite (for dopamine level monitoring). Results: Dopamine and Serotonin increased in the METH group (P < 0.001). METH caused an increase in the Cre (P < 0.001) and a decline in the Glx (P < 0.001), NAA (P = 0.008), and MI (P < 0.001) metabolite concentrations of dopamine circuits in METH users in comparison with healthy subjects. We found no change in Cho metabolite concentration. Psychological data and the neurometabolite concentrations in the studied area of the brain were significantly correlated. Conclusion: There is an association between METH use and active neurodegeneration in the dopamine circuit, and it causes serious mental illness. 1HMRS can detect patient’s deterioration and progression of disease as well as follow-up management in patients with METH use disorder.