The science behind MDmental

In Medicine diagnosis is Etiological, the name of disease is composed of location and pathology, in psychiatry diagnosis is descriptive composed of symptoms, this is because the causes of psychiatric disorders are unknown. Psychiatric diagnosis DESCRIPTIVE Composed from: Symptoms (complaints) signs (observations) Example: Depression Medical diagnosis ETIOLOGICAL The cause of the disease Place, body location Diseased process, pathology Example: Appendicitis

Not knowing the causes of mental disorders impedes their cure To effectively treat mental disorders we should first reformulate them as brain disorders and validate (discover) their brain-related origins First step is to TRANSLATE phenomenology into brain disturbances P h e n o m e n o l o g y Brain T R A N S L A T E

The RDoC (Research Domain Criteria) is an Attempt by the previous NIMH director Tom Insel to TRANSLATE psychiatric phenomenology into brain- related disturbances Brain P h e n o m e n o l o g y Translate

Brain Network Disturbances The CBP (Clinical Brain Profiling) hypothesis proposes to concentrate on the “Circuit” level of brain organization and translate phenomenology into brain-related network disturbances Brain Network Disturbances P h e n o m e n o l o g y

CBP proposes that phenomenology of psychiatric disorders can be translated / defined by a vector of 6 entries default mode network Frustration Disturbed Resting-state Connectivity segregation Connectivity Integration Plasticity De-optimization Plasticity Optimization Constraint Frustration Signs P h e n o m e n o l o g y Translate Symptoms History

CBP can be presented as a graph vector as in http://neuroanalysis. org Connectivity segregation Integration Optimization Plasticity De-optimization Constraint Frustration default mode network Frustration Disturbed Resting-state CBP can be presented as a round graph vector as in BP http://neuroanalysis.org.il/?page_id=1675 Constraint Frustration 1 2 Connectivity segregation Plasticity De-optimization Plasticity Optimization Connectivity Integration Disturbed Resting-state default mode network Frustration

In short (simplified) CBP argues the following translation For a more detailed explanation of CBP go to https://www.youtube.com/watch?v=JDprKsYgiXQ&feature=youtu.be In short (simplified) CBP argues the following translation P h e n o m e n o l o g y Brain T R A N S L A T E Connectivity segregation Integration Plasticity Optimization De-optimization Constraint Frustration Disturbed Resting-state default mode network Frustration Psychosis Negative signs sch Mania Depression Anxiety Personality disorders

To Validate CBP Sensors and wearables are required To Validate CBP Sensors and wearables are required. Sensors collect the phenomenology and Brain-imaging EEG wearable synchronously monitors phenomenology-related brain disturbances Signs phenomenology P h e n o m e n o l o g y Translate Symptoms History

Validation will require finding causal relationships between phenomenology and brain disturbances this will require machine learning and theory driven efforts (theory being the CBP hypothesis) Signs phenomenology P h e n o m e n o l o g y Symptoms Deep Learning CBP Theory Driven History

CBP validation can be achieved with a commercially-valid medical platform combining data collection sensors wearables and machine- learning of large-data algorithms, changing the way end-users clinicians and patients practice psychiatry Big-data User Clinician User Tele-Psychiatry Psychotherapy Consumer EEG Wearables User Cyber + Wearables Neurofeedback Cognitive Training Consumer tDCS Wearables