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THE ROLE OF QEEG IN COMPREHENSIVE CLASSIFICATION OF ADHD CHILDREN

Explore the role of quantitative EEG in classifying ADHD children with statistical analysis, brain activity patterns, and diagnostic applications. Understand EEG clusters in ADHD subtypes for accurate differentiation and subtyping. Learn about the neuroinformatics principle, recording methods, and results from a study on ADHD children.

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THE ROLE OF QEEG IN COMPREHENSIVE CLASSIFICATION OF ADHD CHILDREN

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  1. THE ROLE OF QEEG IN COMPREHENSIVE CLASSIFICATION OF ADHD CHILDREN Zorcec Tatjana¹, Pop-Jordanova Nada¹, Mueller Andreas², Biljana Gjoneska³ ¹Pediatric Clinic, Medical Faculty, Skopje, Macedonia ²Praxis fur kind, Organisation und Enwicklung, Chur, Switzerland ³Macedonian Academy of Sciences and Arts, Skopje, Macedonia

  2. “THE BRAIN IN VAIN” “THE BRAIN STRAIN” “THE BRAIN EXPLAIN” INTERPRETATION OF THE BRAIN

  3. DEFINITION: COMPARISON OF EEG DATA FROM INVESTIGATED SUBJECT WITH NORMATIVE EEG DATABASE USING STATISTICAL ANALYSIS. Q-EEG (Quantitative EEG / Computerized EEG / Brain Mapping) Q-EEG vs EEG: Q-EEG ALLOWS PRECISE AND OBJECTIVE QUANTIFICATION OF THE ELECTROPHYSIOLOGICAL ACTIVITY IN PARTICULAR REGIONS OF THE BRAIN AND RELATIONS BETWEEN THEM. IT PERMITS AN ACCURATE "PATTERN RECOGNITION" WHICH IS IMPOSSIBLE WITH ROUTINE VISUAL ANALYSIS OF EEG NEUROINFORMATICS

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

  5. ATTENTION DEFICIT HYPERACTIVITY DISORDER: INATTENTIVENESS DISTRACTIBILITY IMPULSIVITY HYPERACTIVITY • Q-EEG AS A DIAGNOSTIC TOOL: • EPILEPSY; • CEREBROVASCULAR DISEASES; • POSTTRAUMATIC SYNDROME; • LEARNING DISABILITY; • ATTENTION DISORDERS; • - SCHIZOPHRENIA; • DEPRESSION/MANIA etc. NEUROMATH WORKSHOP Advanced Methods for the Estimation of Human Brain Activity & Connectivity, 29th April, 2008, Jena, Germany

  6. ADHD SUBTYPES: • 2001CLARKE, BARRY, MCCARTHY, SELIKOWITZ • 3 DISTINCT EEG CLUSTERS OF ADHD CHILDREN • INCREASED SLOW WAVE ACTIVITY AND DEFICIENCIES OF FAST WAVE; • INCREASED HIGH AMPLITUDE THETA WITH DEFICIENCIES OF BETA ACTIVITY; • - AN EXCESS BETA GROUP; 2007 ZORCEC, POP-JORDANOVA, MUELLER CONFIRMED EXISTENCE OF MORE SPECIFIC EEG CLUSTERS OF ADHD CHILDREN • Q-EEG & ADHD: • DIFFERENTIATION BETWEEN ADHD AND HEALTHY SUBJECTS; • DIFFERENTIATION BETWEEN ADHD AND OTHER PATHOLOGIES; • SENSITIVE AND SPECIFIC TOOL TO SUBTYPE ADHD NEUROMATH WORKSHOP Advanced Methods for the Estimation of Human Brain Activity & Connectivity, 29th April, 2008, Jena, Germany

  7. SUBJECTS 20 CHILDREN DIAGNOSED WITH ADHD. MEAN AGE: 10.5±2.35 YEARS (MIN. 7; MAX 12 YEARS OLD) INCLUSION CRITERIA: ADHD DIAGNOSIS (ACCORDING TO ICD-10); SCHOOLAGED CHILDREN (7-12 YEARS); IQ > 90 CHILDREN FREE OF ANY MEDICATIONS ABSENCE OF COMORBIDITIES INFORMED CONSENT FROM THE PARENTS.

  8. METHOD • RECORDING APARATURE: STANDARDIZED 21 MITSAR EEG; • MONTAGE: • INTERNATIONAL 10/20 SYSTEM. REFERENTIAL MONTAGE: • LINKED EARLOBES. • ELECTRODE IMPEDANCE: • < 5 KOHMS • DIGITIZATION RATE: • 512 SAMPLES PER MINUTE. • BAND-PASS FILTER: • 1-50 HZ NEUROMATH WORKSHOP 29th April, 2008, Jena, Germany

  9. RESULTS MOST OF THE CHILDREN (45%) BELONG TO THE SLOW ALPHA EXCESS SUBTYPE. IMPAIRMENT IS IN THE LIMBIC SYSTEM. GENERATOR IS THE MIDDLE FRONTAL CORTEX AND ANTERIOR CINGULAR GYRUS. THIS INFLUENCES EXECUTIVE FUNCTIONS WHICH ARE THE HIGHEST COGNITIVE PROCESS. BEHAVIOURALLY, CHILDREN HAVE EMOTIONAL PROBLEMS.

  10. RESULTS

  11. RESULTS 30% BELONG TO THE SUBTYPE: INCREASED THETA AMPLITUDE IN THE FRONTO-CENTRAL CORTEX . IMPAIRMENT IS IN THE CORTEX-BASAL GANGLIA-THALAMUS-CORTEX LOOP. “TYPICAL” ADHD BEHAVIOR

  12. RESULTS

  13. RESULTS 25% BELONG TO THE SUBTYPE: HIGH BETHA ACTIVITY IN FRONTO-CENTRAL OR PARIETAL CORTEX. UNIDENTIFIED IMPAIRMENT. “TYPICAL” ADHD BEHAVIOR WITH EASY AND FAST BLOCKADES IN THEIR EFFICIENCY.

  14. RESULTS

  15. CONCLUSION THE ROLE OF QEEG TO TRANSFORM THE RAW INFORMATION INTO QUALITY IDEA TROUGH THE COURSE OF ITS ORGANIZATION, SYSTEMATIZATION AND PROCESSING.

  16. CONCLUSION THE MEANING OF QEEG BRIDGE BETWEEN NEUROSCIENCE AND INFORMATICS ADVANCED METHOD FOR ESTIMATION OF HUMAN BRAIN ACTIVITY AND CONNECTIVITY UNEXPLORED POTENTIAL. ADVANTAGES STILL REMAIN OPEN FOR FUTURE INVESTIGATION

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