B slide scientific explantion
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This document discusses clinical brain profiling, which aims to reformulate mental disorders as brain disorders. It outlines how the brain is organized into networks, clusters, and hubs and how disturbances in connectivity, plasticity, and internal representations can lead to different mental disorders. The document then introduces Brain Profiler, a computer platform and app that uses clinical assessments, patient reports, digital data, and EEG brain imaging to develop a clinical brain profile for each patient mapping various disturbances across networks. This profile aims to validate mental disorders as brain disorders, improve treatment, and help discover the specific brain-based causes of different mental disorders.
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B slide scientific explantion
- 2. This Slideshow is divided into two parts 1) Scientific Background 2) Brain Profiler The first scientific part is simplified introductory
- 3. First part Scientific Background
- 4. To cure mental disorders the Psychiatrist of the future will need to discover the causes of mental disorders Abraham Peled © All rights resaved Oct 2015
- 5. 1) Reformulate mental disorders as brain- disorders 2) Validate the brain disorders 3) Develop cure intervention/device Abraham Peled © All rights resaved Oct 2015
- 6. Psychiatric diagnosis is descriptive it is based on signs and symptoms Signs = the patient looks sad Symptoms = the patient complains of depression
- 7. While most clinicians agree that mental disorders are brain disorders, psychiatric diagnosis is not Brain-related Abraham Peled © All rights resaved Oct 2015
- 8. The term “brain” is not included in psychiatric taxonomy Abraham Peled © All rights resaved Oct 2015 “brainosis ?” “brainitis ?”
- 9. Without knowing exactly what is wrong with the brains of our patients we will never be able to cure (fix) them Abraham Peled © All rights resaved Oct 2015
- 10. In recent years we have learned a lot about the brain Abraham Peled © All rights resaved Oct 2015
- 11. For example we know that the brain is organized as a network Abraham Peled © All rights resaved Oct 2015
- 12. We also know that the brain is organized as a Small World network with Clusters and Hubs Clusters Clusters Hubs Abraham Peled © All rights resaved Oct 2015
- 13. We know that Small World brain organization is optimal for modal- specific specialization and multimodal integration Unimodal Transmodal multimodal Abraham Peled © All rights resaved Oct 2015
- 14. We also know that Small World brain organization supports Hierarchy with higher-level processing High-Level Low-Level Abraham Peled © All rights resaved Oct 2015
- 15. We know that such Small World brain organization is optimal for coherent integrated conscious experience Visual Auditory Conscious integration Abraham Peled © All rights resaved Oct 2015
- 16. The brain is Plastic. Neurons continually create (Synaptogenesis) and lose (Atrophy) connections Synaptogenesis Atrophy Abraham Peled © All rights resaved Oct 2015
- 17. The Plastic Brain interacts with the Environment Environment Action sensation
- 18. The Plastic Brain learns (Hebb) from the environment, memories Environment Action sensation memories Abraham Peled © All rights resaved Oct 2015
- 19. The Plastic Brain uses memories to create an Internal-Representation of the environment an internal model of the world Environment Action sensation Internal Representations model
- 20. When ‘Adaptive’ the internal model matches the environment, difference (free energy) between environment and internal representation is reduced Environment Action sensation Internal Representations model Adapt Match Free Energy Reduced
- 21. Once created the internal model determines how we view the world and react to it, Experience- Dependent- Plasticity updates continually our internal model of the world
- 22. Experience-Dependent- Plasticity updates continually our internal model of the world The internal model determines how we view the psychosocial world and react to it, this is our personality style
- 23. Each of the organizational dynamics described so far can be disturbed in the brain of our patients Abraham Peled © All rights resaved Oct 2015
- 24. Abraham Peled © All rights resaved Oct 2015 Network connectivity and hierarchy can be disturbed Network organization
- 25. Abraham Peled © All rights resaved Oct 2015 Plasticity and adaptability can be disturbed Plasticity and Adaptability
- 26. Abraham Peled © All rights resaved Oct 2015 Internal representations can be disturbed Internal Representations
- 27. Abraham Peled © All rights resaved Oct 2015 Disturbed network connectivity and hierarchy lead to psychosis and negative signs Network organization Disconnection and psychosis Over-connection and poverty of thought Bottom-up hierarchy insuff’ and Avolition Top-Down shift and delusions
- 28. Abraham Peled © All rights resaved Oct 2015 Disturbed plasticity and adaptability lead to mood disorders Plasticity and Adaptability Optimization and Deoptimization free energy changes lead to Depression and Mania
- 29. Abraham Peled © All rights resaved Oct 2015 Disturbed plasticity and adaptability lead also to altered instable constraints between networks and anxiety disorders Plasticity and Adaptability Constraint frustration instable networks lead to Anxiety sensations
- 30. Abraham Peled © All rights resaved Oct 2015 Disturbed internal representations lead to personality disorders Internal Representations Default mode network development biased to the extent that internal representations are either rudimental or unstable (borderline personality disorders) or biased internal representations dominate the network ( i.e., other personality disorders
- 31. Network organization Plasticity and Adaptability Internal Representations The brain can be disturbed to various extent in all network parameters leading to mixed clinical phenomenology
- 32. Network organization Cs Connectivity segregation Ci Connectivity integration Hbu Hierarchical bottom-up insufficiency Htd Hierarchical top-down shift O Optimization D De- Optimization CF Constraint frustration CF(b) Stimulus bound DMN Default Mode Network Plasticity and Adaptability Internal Representations Each patient may suffer from a specific personalized profile of brain disturbance Abraham Peled © All rights resaved Oct 2015
- 33. Connectivity DNM Plasticity Hierarchical top-down shift (Htd) Delusions Hallucinations Hierarchical bottom-up insufficiency (Hbu) Avolition Connectivity segregation (Cs) Psychosis Connectivity integration (Ci) Negative signs Optimization (O) Mania De- Optimization (D) Depression Constraint frustration (CF) Anxiety Stimulus bound CF(b) Phobia Default Mode Network (DMN) Personality disorder In other words, the optimal organized brain can be perturbed and disturbed thus generate mixtures of clinical psychiatric phenomenology
- 34. CsCiHtdHbuDOCFCF(b)DMN Clinical Brain Profiling (CBP) Cs connectivity segregation Optimal brain Disturbance to plasticity and Optimization Ci connectivity integration Htd Hierarchal top down shift Hbu Hierarchal Bottom-up insufficiency D De-optimization O Hyper- optimization CF Constrain Frustration CF(b) Constrain Frustration Bound Default Mode Network Disturbance to connectivity All of the various brain disturbances are mapped onto a 9 axis profile “the Clinical Brain Profile (CBP)
- 35. Cs Connectivity segregation Ci Connectivity integration Hbu Hierarchical bottom-up insufficiency Htd Hierarchical top-down shift O Optimization D De- Optimization CF Constraint frustration CF(b) Stimulus bound DMN Default Mode Network Connectivity DNM Plasticity Clinical Brain Profiling The Clinical Brain Profile (CBP) of the patient looks like this
- 36. Part two Brain Profiler http://www.brainprofiler.com/
- 37. Brain Profiler is Computer and an App platform
- 38. The clinician evaluates the patent’s clinical condition using an easy sliding cursor of the Brain Profiler
- 39. The patient makes timely reports about is condition also using an easy sliding cursor
- 40. CsCiHtdHbuDOCFCF(b)DMN Clinical Brain Profiling (CBP) Brain Profiler combines the assessment of the clinician with the reported complaints of the patient
- 41. CsCiHtdHbuDOCFCF(b)DMN Clinical Brain Profiling (CBP) Brain Profiler offer also passive and objective assessment of the patient using digital signatures collected from his mobile and cyber activity
- 42. CsCiHtdHbuDOCFCF(b)DMN Clinical Brain Profiling (CBP) The predicted phenomenology-depended brain disturbance is VALIDATED by collecting brain imaging from consumer EEG using the Clinical Brain Profiling translation of Brain Profiler
- 43. Brain Profiler offers follow-up over time monitors treatment responses and prognosis. Alerts prevent deterioration and improve treatment outcomes
- 44. With statistics of big-data Brain Profiler will predict prognosis treatment responses and medication outcome and response.
- 45. BrainPhenomenology Big-data relating psychiatric phenomenology to brain imaging will reveal the causal relationships between brain disorders and clinical phenomenology thus validating clinical brain profiling and discovering the causes of mental disorders