Showing 6 results for Moghadas
Mansoureh Toghae , Abdoreza Naser-Moghadasi , Baharak Mehdipour-Aghabagher,
Volume 68, Issue 8 (November 2010)
Abstract
Background: Bickerstaff's brainstem encephalitis (BBE) is a very uncommon central nervous system disease with unknown etiology. As it is usually responsive to treatment, the diagnosis this disease is important. It seems There is no reported Bickerstaff's brainstem encephalitis case in Iran.
Case presentation: An 83 year old woman presented with vertigo, ataxia and dysarthria from a week prior to admission. Her T2 weighted MRI revealed high intensity lesions in the pons area. She received treatment with impression of ischemic stroke. After few days, lower extremities became weak symmetrically and deep tendon reflexes depressed. Deep sensory loss was noted too. The EMG-NCV studies showed acute polyneuropathy and in CSF examination increased protein content was noted. The patient improved after IVIG and corticosteroid therapy with impression of Bickerstaff's brainstem encephalitis.
Conclusion: In spite of severe initial presentation, Bickerstaff's brainstem encephalitis has a good prognosis if it diagnosed and treated properly. Although clinical features is too important, but paraclinical work up are necessary to diagnose this syndrome.
Sabeti M, Naser Moghadasi A, Aloosh M, Paknejad Sm, Toghae M,
Volume 70, Issue 7 (6 2012)
Abstract
Background: Finding an acute brain lesion by diffusion-weighted (DW) MRI upon an episode of transient ischemic attack (TIA) is a predictor of imminent stroke in the near future. Therefore, exploring risk factors associated with lesions in DW-MRI of the brain is important in adopting an approach to TIA management. In the current study, we tried to determine the risk factors associated with lesions in DW-MRI of the brain in patients experiencing TIA episodes.
Methods: Fifty patients with TIA were recruited consecutively in Sina Hospital, Tehran, Iran, over a 6-month period between July 2008 and January 2009. All of the patients underwent a complete neurological examination and laboratory tests. Brain DW-MRIs were performed for all the patients within 72 hours of a TIA episode.
Results: DW-MRI revealed an acute lesion in 16% of the participants. There was a significant correlation between presence of an acute lesion in DW-MRI and TIA duration, history of diabetes mellitus and presence of unilateral facial palsy (P=0.0003, P=0.02 and P=0.008, respectively). Other variables such as age, hypertension, hyperlipidemia, past history of TIA, headache, vertigo, and sensory or visual disturbances had no significant relation with the presence of an acute lesion in DW-MRI.
Conclusion: Duration of TIA, presence of diabetes mellitus and unilateral facial palsy are risk factors for an acute lesion in DW-MRI, meaning that patients with such risk factors are at risk for stroke in the near future.
Fariba Nanbakhsh , Behrooz Ilkhanizadeh , Nava Moghadasian Niaki , Sima Oshnouei, Pooya Mazloomi ,
Volume 73, Issue 1 (April 2015)
Abstract
Background: Last decades, we have observed major improvements in treating infertility by using microinjection. However, reduction in abortion or increase in fertility has not been significant. It seems use of corticosteroids improves clinical outcomes during assisted reproductive technology (ART) techniques. Therefore, this study tried to show how corticosteroids therapy improves the results of intracytoplasmic sperm injection (ICSI). Methods: This semi clinical trial study without control group was included infertile women with more than one year’s infertility and were candidate to ICSI which were referred to Kosar Infertility Center, Urmia University of Medical Sciences from April 2011 to September 2013. Patients received prednisolone which was started 20 mg/day from one day before embryo transfer to 7 days, then for 2 days more 1 tablet and stopped. Pregnancy outcomes were chemical and clinical pregnancy, ectopic pregnancy, multiple pregnancy and rate of abortion before 20 weeks. Beta human chorionic gonadotropin (HCG) test was performed. Patients with positive pregnancy test were followed by sonography in 6, 12 weeks and 20 weeks of pregnancy. Results: One hundred and eighty one patients entered to the study. The mean± SD of age and fertility duration were 30.42± 6.07 and 7.69± 5.54 years. The mean± SD of transferred embryo was 4.60± 1.10 and embryo grading was 138 (44.7%) grade A, 124 (40.1%) grade B, 47 (15.2%) grade C, respectively. There were no significant difference between fresh/frozen embryo transfer in pregnancy outcomes (P> 0.05 in all of outcomes comparison). The incidence rate of biochemical pregnancy was 48.1% (87), clinical pregnancy rate with appearance of fetal heart was 44.2% (80), incidence rate of abortion before appearance of fetal heart (6 weeks) in women with intra-uterine pregnancy was 5.9% (5), incidence rate of abortion before 20 weeks was 12.9% (11). Incidence rate of ectopic pregnancy was 2.3% (2) and rate of multiple pregnancies was 32.5% (26). Conclusion: Our study suggests that the infertile patients who receive prednisolone in ICSI cycle, had improved pregnancy outcomes. Additional confirmatory studies are needed.
Hasan Asadi Gandomani , Abdorreza Naser Moghadasi , Mohammad Ali Sahraian , Sharareh Eskandarieh,
Volume 79, Issue 12 (March 2022)
Abstract
Background: The onset of primary progressive multiple sclerosis (PPMS) can be triggered by sun exposure and physical activity. The present study aimed to determine the risk of sun exposure and physical activity in PPMS development.
Methods: The case-control study recruited PPMS cases and healthy controls from the general population from September 2019 to September 2020 in Tehran, Iran. The selection of sex-matched controls from the same source population of cases was performed. Sun exposure was assessed in terms of exposure time in two age groups of 13-19 years and over 20 years in winter and summer.
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Results: This study examined 146 PPMS cases and 294 controls. The sun exposure in summer in the age group 13-19 was negatively associated with the incidence of the disease (OR=0.68 (CI=0.57-0.82)). This relationship was also observed in the groups of men (OR=0.55 (CI=0.40-0.74)) and women (OR=0.70 (CI=0.53-0.91)). Exposure to sunlight in winter in the age group 13-19 was negatively associated with the incidence of the disease (OR=0.28 (CI=0.19-0.42)). In the group over 20 years, sun exposure was negatively associated with disease incidence in summer (OR=0.49 (CI=0.36-0.66)). Exposure to sunlight on average in winter in the age group over 20 years was negatively associated with the incidence of the disease (OR=0.14 (CI=0.07-0.28)) which in the male group OR=0.12 (0.04-0.32)) and women (OR=0.06 (CI=0.02-0.21)) were seen. Regarding physical activity, only physical activity above 4000 MET per week in the group of women was negatively associated with the incidence of the disease (OR=5.30 (CI=1.05-26.59), but in other groups, this negative relationship was not observed.
Conclusion: Exposure to sunlight in winter and summer had a negative relationship with the incidence of the disease. Physical activity was only negatively associated with the incidence of the disease in very high doses and women.
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Faezeh Moghadas, Zahra Amini, Rahele Kafieh,
Volume 80, Issue 10 (January 2023)
Abstract
Background: Brain-computer interface systems provide the possibility of communicating with the outside world without using physiological mediators for people with physical disabilities through brain signals. A popular type of BCIs is the motor imagery-based systems and one of the most important parts in the design of these systems is the classification of brain signals into different motor imagery classes in order to transform them into control commands. In this paper, a new method of brain signal classifying based on deep learning methods is presented.
Methods: This cross-sectional study was conducted at Isfahan University of Medical Sciences, School of Advanced Technologies in Medicine, from February 2020 to June 2022. In the pre-processing block, segmentation of brain signals, selection of suitable channels and filtering by Butterworth filter have been done; then data has transformed to the time-frequency domain by three different kinds of mother wavelets including Cmor, Mexicanhat, and Cgaus. In the classification step, two types of convolutional neural networks (one-dimensional and two-dimensional) were applied whereas each one of them was utilized in two different architectures. Finally, the performance of the networks has been investigated by each one of these three types of input data.
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Results: Three channels were selected as the best ones for nine subjects. To separate 8-30 Hz, a 5th degree Butterworth filter was used. After finding the optimal parameters in the proposed networks, wavelet transform with Cgauss mother wavelet has the highest percentage in the both proposed architectures. Two-dimensional convolutional neural network has higher convergence speed, higher accuracy and more complexity of calculations. In terms of accuracy, precision, sensitivity and F1-score, two-dimensional convolutional neural network has performed better than one-dimensional convolutional neural network. The accuracy of 92.53%, which is obtained from the second architecture, as the best result, is reported.
Conclusion: The results obtained from the proposed network indicate that suitable, and well-designed deep learning networks can be utilized as an accurate tool for data classification in application of motion perception.
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Ali Mohammad Mosadeghrad, Farinaz Moghadasi,
Volume 81, Issue 2 (May 2023)
Abstract
