Construct and predictive validity of the Comprehensive Neurodiagnostic Checklist 10/20 (CNC)

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Construct and predictive validity of the Comprehensive Neurodiagnostic Checklist 10/20 (CNC) BSc. N. A. H. Helgers, University of Leiden, M.Ed. T. S. Brownback, Brownback, Mason and Associates Drs. D. Mulder, Neurofeedback Institute Netherlands Drs. W. A. Fonteijn, Neurofeedback Institute Netherlands

Introduction CNC Web-based neurodiagnostic questionnaire 300 items related to 42 neuropathologies Calculates the likelihood of the presence of each neuropathology Demonstrates which 10-20 system placement is associated with each neuropathology Guides clinical interpretation of the QEEG Facilitates best electrode placements for z-score training

Study design and aim Evaluation of construct and predictive validity of the CNC clinical observational design, syndrome analysis on the sampled clients with the CNC, factor analysis clinical observational design, construct validity of CNC compared with SCL and CBCL pre-experimental design, one group pretestposttest study design, predictive validity CNC compared with SCL after neurofeedback treatment

Developmental sample 1733 clients of Neurofeedback Institute Netherlands Male female ratio 2 : 1 age 6 80 inclusion clients with one or more guided psychosomatic complaints and or clinical diagnosis

Validation sample 429 adults, clients of Neurofeedback Institute Netherlands Male female ratio 1 : 1 age 18-80 586 children Male female ratio 4 : 1 age 6 18 inclusion clients with one or more guide question and or clinical diagnosis

Procedure Clients were invited for Intake at 14 locations of NIN in the Netherlands Clients received a link by email to complete the CNC, intake session at NIN, completing SCL and CBCL is filled in by the parents at home pretreatment and premeasurement neurofeedbacktreatment ± 25 sessions postmeasurement

Symtom Checklist (SCL-90) Self report inventory to identify psychopathological symptoms 90 items Dutch version: 9 primary symptoms Anxiety, Agoraphobia, Somatic Complaints, Insufficiency, Sensitivity, Hostility, Sleep, Other and Total Psychoneuroticism Score Research shows a reliable and valid inventory (Carlozzi, 2008)

Child Behavior Checklist Parent filled inventory (CBCL) Behavioural and emotional problems 120 items Factor analysis: 8 syndromes (Achenbach, 2001) Anxious/depressed, Withdrawn/depressed, Somatic complaints, Social problems, Thought problems, Attention problems, Rule-breaking behaviour, Agressive behaviour, Other problems

Statistical analysis Factor analysis, component loads and own value of items on all categories of CNC Cronbach s alpha is used to optimize CNC Multimethod-matrix and pearson moment correlation to analyse construct and predictive validity subscales of CNC compared with subscales of SCL and subscales of CBCL total sum scores multivariate data analysis

Results Reliability of CNC Construct validity CNC compared with SCL Construct validity CNC compared with CBCL Predictive validity CNC compared with SCL

Results Reliability of CNC n= 1733 Cronbach s alpha: 0,982 High reliability Principal component analysis 49 components based on eigen-value > 1 (expected 47)

Factor analysis and testing construct bias KMO and Bartlett's Test Factoranalyse: sample 1 Kaiser-Meyer-Olkin Measure of Sampling Adequacy.,963 Bartlett's Test of Sphericity Approx. Chi-Square 421477,848 df 42486 Sig.,000 score above 0,9 is good and indicates that the factoranalysis reliable is

Intern consistency CNC

Intern consistency CNC

Construct validity CNC compared with SCL-90 SCL-90 Anxiety Depression Insufficiency Sensitivity Hostility Sleep ADD Distractibility Inattention,437 ** Depression,631 ** Emotional Disorder, Social,527 ** Executive Cognitive Dysfunction,483 ** Generalized Anxiety Disorder,586 ** CNC Hypoactivity Disorder,448 ** Impulse Control,419 ** Inability to Feel Positive Emotion,410 ** Obsessive Compulsive Disorder: Compulsions,394 ** Oppositional Defiant Disorder,413 ** Sleep Disorder: Hyposomnia,605 **

Construct validity CNC compared with CBCL CBCL Anxious/ depressed Withdrawn/ depressed Social problems Thought problems Attention problems Rule-breaking behavior Aggressive behavior ADD Distractibility Inattention,556 ** Amotivational,435 ** Asperger Syndrome,469 **,341 ** Depression,569 ** Elevated Anger, Rage, Fear,460 ** CNC Emotional Disorder, Social,576 ** Executive Cognitive Dysfunction,400 ** Generalized Anxiety Disorder,526 ** Hypoactivity Disorder,467 ** Impulse Control,573 ** Motor Dysfunction: Gross,332 ** Obsessive Compulsive Disorder: Obsessions,464 ** Oppositional Defiant Disorder,448 **,596 **

Predictive validity CNC compared with SCL n=197 SCL-90 total score CTC Total score 0,484**

Discussion Factoranalysis extracts 49 components, 47 expected components, 1 general and 1 still to detect Reliable instrument with good internal consistency Medium to large correlations, which means a good construct validity of the CNC compared with SCL and CBCL Large correlation on total scores which means a good predictive validity of CNC compared with SCL Further research: On predictive validity on subcategories of CTC is recommended Testing construct bias

Conclusion CNC is a useful neurodiagnostic instrument in the neurofeedback practice CNC is useful to evaluate treatment outcome

Acknowledgments Rado Ionel Bernice Tonino Bernadet Klaassens Ger Loots 1793 clients of NIN 33 Neurofeedback therapists of NIN

Questions?