1. nformatics APPLICATION OF Q-EEG IN PEDIATRIC RESEARCH AND PRACTICE Gjoneska B.¹, Pop-Jordanova N.² and Markovska-Simoska S.¹ ¹ Macedonian Academy of Sciences and Arts, Skopje, R. Macedonia ² Pediatric Clinic, Faculty of Medicine, Skopje, R. Macedonia ² Pediatric Clinic, Faculty of Medicine, Skopje, R. Macedonia CIIT, Bitola, February 10-14, 2008

2. TRANSFORMATION OF THE INFORMATION INTO IDEA IS ENABLED TROUGH IS ENABLED TROUGH THE COURSE OF ITS ORGANIZATION, SYSTEMATIZATION AND PROCESSING. INFORMATICS NEUROSCIENCE

3. INFORMATICS NEUROSCIENCE VAST AMOUNTS OF DATA HAVE TO BE COMPARED, CROSS- REFERENCED, INTEGRATED AND INTERPRETATED WITH THE HELP OF INFORMATICS IN ORDER TO UNRAVEL THE BRAIN.

4. PERSONAL ID nformatics Neuro DEFINITION: “NEW FIELD COMBINING NEUROSCIENCE AND INFORMATICS RESEARCH TO DEVELOP AND APPLY THE ADVANCED TOOLS AND APPROACHES THAT ARE ESSENTIAL FOR MAJOR ADVANCES IN UNDERSTANDING THE STRUCTURE AND FUNCTION OF THE BRAIN.” Report of the Office for Economic Development Megascience Forum, Biological Informatics Working Group, Neuroinformatics Subgroup, 1998 BACKGROUND: 1989 – First analysis and study of the need to create databases 1993 - “The Human Brain Project” 1989 – First analysis and study of the need to create databases (Koslow and Judd, NIMH); 1993 - “The Human Brain Project” (Koslow, NIMH).

5. POSITIONBIOINFORMATICS INFORMATICS INVOLVING THE BIOSCIENCES, ESPECIALLY MOLECULAR BIOLOGY, GENETICS AND NEUROSCIENCE NEUROINFORMATICS - DATA MANAGEMENT AND SHARING - COMPUTATIONAL MODELS OF THE NERVOUS SYSTEM - NEW METHODS FOR INFORMATION TECHNOLOGY ELECTRONIC ACQUISITION, STORAGE, QUERYING, RETRIEVAL, VISUALIZATION, INTEGRATION, MODELING, SIMULATION, ANALYSIS, SYNTHESIS & SHARING OF DATA COMPUTATIONAL NEUROSCIENCE

6. RELATIONSSTATISTICS LINGUISTICS NEUROINFORMATICS MATHEMATICS ENGINEERING ANATOMY PHYSIOLOGY BIOLOGY PHYSICS CHEMISTRY PSYCHOLOG Y

7. NEUROINFORMATICS Development of tools and databases for management and sharing of neuroscience data Q-EEG (Quantitative EEG / Computerized EEG / Brain Mapping) DEFINITION: COMPARISON OF EEG DATA FROM INVESTIGATED SUBJECT WITH NORMATIVE EEG DATABASE USING STATISTICAL ANALYSIS.

8. ANALYSIS OF FEATURES PRINCIPLE OF WORK RECORDING OF MULTICHANNEL EEG SIGNAL PROCESSING AND EXTRACTION OF FEATURES COMPARISON OF EEG DATA

9. Q-EEG OF ADHD PATIENT Q-EEG AS A DIAGNOSTIC TOOL: - EPILEPSY; - CEREBROVASCULAR DISEASES; - POSTCONCUSSION SYNDROME; - LEARNING DISABILITY; - - ATTENTION DISORDERS; - SCHIZOPHRENIA; - DEPRESSION/MANIA. 6 th International Conference for Informatics and Information Technology, Bitola, February 10-14, 2008

10. Q-EEG IN THERAPEUTIC PRACTICENEUROFEEDBACK - OPERANT-CONDITIONING PARADIGM; - AN INDIVIDUAL LEARNS TO INFLUENCE THE ELECTRICAL ACTIVITY; - IT INVOLVES TEACHING SKILLS THROUGH THE REWARDING EXPERIENCE OF INDUCING EEG CHANGES REFLECTED IN A PERCEIVABLE SIGNAL (LIGHT OR SOUND).

12. CLINICAL SIGNIFICANCE OF NEUROFEEDBACK NEUROFEEDBACK Very useful in pathologies characterized by dysfunctional regulation Very useful in pathologies characterized by dysfunctional regulation : - EPILEPSY; - ADHD - ADHD. Complementary Therapeutic Tool in: - SUBSTANCE ABUSE; - BRAIN-COMPUTER INTERFACE IN PARALYZED PATIENTS; - SCHIZOPHRENIA.

13. APPLICATION OF NEUROFEEDBACK IN MACEDONIA PSYCHOSOMATIC DISORDERS; BEHAVIORAL PROBLEMS; BEHAVIORAL PROBLEMS; ELIMINATION DISORDERS ( ENURESIS NOCTURNAL & ENCOMPRESIS); ANXIETY / PHOBIC DISORDERS; EATING DISORDERS ( ANOREXIA, BULIMIA, OBESITY); SLEEPING DISORDERS; ADHD / ADD; PTSD; OCD; TICKS; SPEECH PROBLEMS (STUTTERING). CHRONIC DISEASES SUCH AS: CYSTIC FIBROSIS; EPILEPSY; ASTHMA BRONCHIALAE; ONCOLOGY DISEASES; DIABETES MELLITUS; DIABETES MELLITUS; RHEUMATOLOGIC DISEASES; SOME KINDS OF IMMUNE DEFICIT; BRAIN INJURIES AND KIDNEY FAILURE. BRAIN INJURIES AND KIDNEY FAILURE.

14. FUTURE INVESTIGATIONS FUTURE INVESTIGATIONS ASSESSMENT OF POTENTIAL INFLUENCE FROM LOW-FREQUENCY ELECTROMAGNETIC FIELDS ON HUMAN EEG PATTERNS. ASSESSMENT OF NEURONAL PLASTICITY IN PATIENTS TREATED FOR EPILEPSY. 6 th International Conference for Informatics and Information Technology, Bitola, February 10-14, 2008

15. COLLABORATIONS FACILITATED AND IMPROVED PROCESSING OF LARGE AMOUNTS OF EEG DATA BETTER ARRANGEMENT, ORGANIZATION AND MANAGEMENT OF DATABASES