We believe that an effective cures for mental disorders will require full understanding of the neuropathology causing these disorders.
The treatment of mental disorders is limited; this is because we do not fully understand what causes psychiatric illness.
Psychiatric terminology is descriptive, constructed upon Signs and Symptoms, (i.e. observations and complaints) and not etiological (i.e. not Brain Related).
For mental disorders will require full understanding of the neuropathology causing these disorders.
As an old Chinese adage says “The beginning of wisdom is to call things by their proper names.” Therefore we must strive to reformulate and translate psychiatric phenomenology to brain-related taxonomy.
Current neuroscientific knowledge allows for the commencement of formulating brain-related diagnoses for mental disorders.
Clinical Brain Profiling
This is what “Clinical Brain Profiling” attempts to achieve, – a comprehensive translation of clinical psychiatric phenomenology to sets of brain-disturbances at the global, network level of the brain, i.e. relying on computational neuroscience.
“BrainProfiler” is a software that translates the phenomenology of your patient into a personalized brain-related diagnosis predicting the brain disturbance causing the illness in that patient.
Additionally BrainProfiler is designed to provide better diagnosis, and improved personalized treatments. It also acts as a decision-support systems and MHR.
BrainProfiler is designed as an integrated platform to give meaning to cyber-mobile-wearable-sensors, and validate the Clinical Brain Profiling theory using wearable wireless electrophysiological brain sensing EEG devices.
Finally BrainProfiler will accomplish the Launchpad of future brain-pacing technology that will actually fully cure mental disorders.
“Clinical brain profiling”: a neuroscientific diagnostic approach for mental disorders.
Peled A, Geva AB. Med Hypotheses. 2014 Oct;83(4):450-64. doi: 10.1016/j.mehy.2014.07.013. Epub 2014 Aug 8.
Brain “Globalopathies” cause mental disorders.
Peled A. Med Hypotheses. 2013 Dec;81(6):1046-55. doi: 10.1016/j.mehy.2013.09.032. Epub 2013 Oct 5. Review.
Neuroanalysis: a method for brain-related neuroscientific diagnosis of mental disorders.
Peled A. Med Hypotheses. 2012 May;78(5):636-40. doi: 10.1016/j.mehy.2012.01.043. Epub 2012 Feb 18. Review.
Simulation of cognitive disturbances by a dynamic threshold semantic neural network.
Geva AB, Peled A. J Int Neuropsychol Soc. 2000 Jul;6(5):608-19.