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RISS 인기검색어
- 검색키워드
- 저자 : Safa Rafieivand (검색결과 3 건)
- 무료
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Effects of Non-invasive Neurostimulation on Autism Spectrum Disorder: A Systematic Review
Ali Khaleghi,Hadi Zarafshan,Safa Rafieivand,Mohammad Reza Mohammadi 대한정신약물학회 2020 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.18 No.4
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by major impairments in social communication, stereotyped and ritualistic behaviors and deficits in sensory reactivity. Recently, noninvasive brain stimulation (NIBS) methods, namely transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS), have been examined as possible new therapeutic options for modifying the pathological neuroplasticity involved in neuropsychiatric disorders including ASD. Therefore, we conducted a systematic review on the therapeutic uses of tDCS and repetitive TMS (rTMS) in ASD patients. A systematic search was performed on Scopus, Web of Science, PubMed, Cochrane and Embase. Original articles reporting the use of tDCS or rTMS to treat ASD were screened and studied by two researchers independently based on PRISMA guidelines. We found 32 eligible studies including 8 tDCS reports, 23 rTMS reports and one report with both tDCS and rTMS. These studies comprised 6 case-reports, 9 non-controlled trials and 17 controlled trials which assessed NIBS effects on the three cognitive, behavioral and biological dimensions in ASD. Existing evidence demonstrates that NIBS methods could be helpful for treating some dimensions of ASD such as repetitive behavior, sociability or some aspects of executive and cognitive functions. However, such evidence should be regarded with care because of the quality of original researches and serious publication bias as well as the heterogeneity of data. Further randomized, double-blind, sham-controlled trials with appropriate follow-up periods should be designed to assess the efficacy of NIBS methods for ASD treatment.
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Neuro-cognitive Ramifications of Fasting and Feeding in Obese and Non-obese Cases
Seyed-Ali Mostafavi,Ali Khaleghi,Safa Rafieivand,Seyyed Salman Alavi,Mohammad Reza Mohammadi 대한정신약물학회 2018 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.16 No.4
Preliminary studies have claimed that short term fasting would negatively affect school performance and cognition. In contrast some other studies have reported not important decline in cognition and executive function as a result of fasting. Also limited attention was generally devoted to dietetic regimens, nutritional status and body weight. Yet neuroscience and neuro-cognitive aspects of acute hunger on the electroencephalogram and differences between obese and non-obese cases is not well understood. Hence, we decided to design and perform a case study in a more controlled situation similar to reality. Therefore, we performed several examinations including subjective tests (for eating status) and objective tests (cognitive tests such as Stroop effect and Sternberg search and electroencephalogram measures such as steady-state visual evoked potential and auditory steady-state responses) for an obese and a non-obese academic case before and after a simple breakfast. The results showed that the breakfast effects on the neuro-cognitive functions depend on either obesity status, nutritional status of the case or the type of cognitive task (visual or auditory). This paper would open a new insight to answer some important questions about the neuro-cognitive implications of fasting and feeding in obese and non-obese human cases.
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EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network
Mohammad Reza Mohammadi,Ali Khaleghi,Ali Moti Nasrabadi,Safa Rafieivand,Moslem Begol,Hadi Zarafshan 대한의용생체공학회 2016 Biomedical Engineering Letters (BMEL) Vol.6 No.2
Purpose Attention-Deficit Hyperactivity Disorder (ADHD)is a neuro-developmental disorder that is characterized byhyperactivity, inattention and abrupt behaviors. This studyproposes an approach for distinguishing ADHD childrenfrom normal children using their EEG signals when performinga cognitive task. Methods In this study, 30 children with ADHD and 30 agematchedhealthy children without neurological disordersunderwent electroencephalography (EEG) when performinga task to stimulate their attention. Fractal dimension (FD),approximate entropy and lyapunov exponent were extractedfrom EEG signals as non-linear features. In order to improvethe classification results, double input symmetrical relevance(DISR) and minimum Redundancy Maximum Relevance(mRMR) methods were used to select the best features asinputs to multi-layer perceptron (MLP) neural network. Results As expected, children with ADHD had more delaysand were less accurate in doing the cognitive task. Also, theextracted non-linear features revealed that non-linear indiceswere greater in different regions of the brain of ADHDchildren compared to healthy children. This could indicate amore chaotic behavior of ADHD children while performinga cognitive task. Finally, the accuracy of 92.28% and 93.65%were achieved using mRMR method and DISR methodusing MLP, respectively. Conclusions The results of this study demonstrate the abilityof the non-linear features to distinguish ADHD children fromhealthy children.
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