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Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children and adults and its early detection is effective in the successful treatment of children. Electroencephalography (EEG) has been widely used for classifying ADHD and normal children. In recent years, deep learning leads to more accurate classification. Objective: This study aims to adapt convolutional neural networks (CNNs) for classifying ADHD and normal children based on the connectivity measure of their EEG signals.Material and Methods: In this experimental study, the dataset consisted of 61 ADHD and 60 normal children from which 13021 epochs were extracted as input for model training and evaluation. Synchronization likelihood (SL) and wavelet coherence (WC) were considered connectivity measures. The neighborhood between EEG channels was arranged in a two-dimensional matrix for better representation. Four-dimensional (4D) and six-dimensional (6D) connectivity tensors were composed as model inputs. Two architectures were developed, one 4D and 6D CNN for SL and WC-based diagnosis of ADHD, respectively. Results: A 5-fold cross-validation was utilized to assess developed models. The average accuracy of 98.56% for 4D CNN and 98.85% for 6D CNN in epoch-based classification were obtained. In the case of subject-based classification, the accuracy was 99.17% for both models. Conclusion: Based on the evaluation metrics of the proposed models, ADHD children can be diagnosed and ADHD and normal children can be successfully distinguished.

Objective: The aim of our study is to determine the impact of cochlear implantation on anxiety anddepression in mothers of children with cochlear implant. Materials and methods: In a Cohort design, 35 mothers of deaf children with cochlear implantion admitted to the clinic of Baqiyatallah hospital during January 2008 – January 2010 were selected through systematic sampling. Information of demography, depression and anxiety are obtained from the parents by checklist and beck questionnaires, respectively. Results: Mean depression and anxiety scores in cochlear implant candidates were more than cochlear implant recipients. The difference was significant in depression and anxiety (P=0.001). Conclusion: It seems that cochlear implant use leads to decrease of depression and anxiety but still high prevalence of these complications than the normal population.

Abstract  Our objective was to evaluate the effect of surgical repair of pelvic organ prolapse on female sexual function. Sixty seven women with pelvic organ prolapse were recruited in the study. Degree of pelvic organ prolapse was assessed using pelvic organ prolapse quantitation (POPQ) staging system. Female sexual function index (FSFI) questionnaire was used to assess sexual function of the cases preoperatively and 12–16 weeks after the operation. Mean age of the cases was 36.03 � 5.38 years. The total mean FSFI score increased from 15.9 � 10.7 to 21.9 � 11.1 (P P  [ABSTRACT FROM AUTHOR]