GET THE APP

Predicting Neuroticism Based on EEG Power Oscillations: Fearful Face as a Mediator Role | Abstract
Logo

International Journal of Medical Research & Health Sciences (IJMRHS)
ISSN: 2319-5886 Indexed in: ESCI (Thomson Reuters)

Abstract

Predicting Neuroticism Based on EEG Power Oscillations: Fearful Face as a Mediator Role

Author(s):Seyed Mohammad Mahdi Moshirian Farahi, Mohammad Javad Asghari Ebrahimabad, Ali Ghanaei Chamanabad and Ali Yoonessi

The aim of present study was to clarify the relationships between dynamic fearful face and EEG oscillations activities to predict neuroticism in healthy people. The participants included twenty-five undergraduate students (mean age=21.36, SD=23.39) at Ferdowsi University of Mashhad that were selected as volunteers. In order to analyze the data, path analysis was applied in AMOS software. The results showed that the predictive model of neuroticism is fit respect to the mediator role of fear and the criterion role of EEG oscillations. The results revealed that EEG is a fit device for predicting fearful and neuroticism and it can be used for further pathologically researches.


Select your language of interest to view the total content in your interested language

Archive
Scope Categories
  • Clinical Research
  • Epidemiology
  • Oncology
  • Biomedicine
  • Dentistry
  • Medical Education
  • Physiotherapy
  • Pulmonology
  • Nephrology
  • Gynaecology
  • Dermatology
  • Dermatoepidemiology
  • Otorhinolaryngology
  • Ophthalmology
  • Sexology
  • Osteology
  • Kinesiology
  • Neuroscience
  • Haematology
  • Psychology
  • Paediatrics
  • Angiology/Vascular Medicine
  • Critical care Medicine
  • Cardiology
  • Endocrinology
  • Gastroenterology
  • Infectious Diseases and Vaccinology
  • Hepatology
  • Geriatric Medicine
  • Bariatrics
  • Pharmacy and Nursing
  • Pharmacognosy and Phytochemistry
  • Radiobiology
  • Pharmacology
  • Toxicology
  • Clinical immunology
  • Clinical and Hospital Pharmacy
  • Cell Biology
  • Genomics and Proteomics
  • Pharmacogenomics
  • Bioinformatics and Biotechnology