1. The science behind MDmental

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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
Constraint
Frustration 1 2
Connectivity
segregation
Plasticity
De-optimization
Plasticity
Optimization
Connectivity
Integration
Disturbed Resting-state
default mode network Frustration

8. In short (simplified) CBP argues the following translation
For a more detailed explanation of CBP go to
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

9. 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

10. 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

11. 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