Abstract: There is provided a method of diagnosing a medical state associated with a neuro-psychiatric disorder in a subject, comprising: receiving EEG datasets from EEG electrodes monitoring a head of the subject, computing events for the EEG datasets, clustering the events into clusters, computing a p-adic representation of the clusters, extracting a p-adic topology from the p-adic representation of the clusters, computing a personal universal dendrogramic holographic signature (PUDHS) of the p-acid topology relative to a personalized threshold that separates between a relative large distance between events and a relatively small distance between events, the PUDHS denoting number of events below the personalized threshold, and diagnosing the medical state associated with the neuro-psychiatric disorder according to the PUDHS relative to a medical threshold that separates between presence of the medical state and non-presence of the medical state.

Abstract: A system which can be used for carrying out a method for determining an efficacy of a transcranial magnetic stimulation (TMS) treatment, including: delivering TMS to a patient using a TMS protocol in a TMS treatment session; recording EEG signals before and after the delivering during the treatment session; recording EEG signals after completion of the treatment session; analyzing the recorded EEG signals to generate values of one or more EEG parameters; determining an acute effect and an intermediate effect of the TMS protocol on a brain state of the patient based on a change in values of the one or more EEG parameters; determining an efficacy of the TMS protocol based on the determined acute effect and the intermediate effect.

Abstract: There is provided a computer implemented method of diagnosing a medical state associated with a neuro-psychiatric disorder in a subject, comprising: receiving a plurality of EEG datasets, each respective EEG dataset from a respective EEG electrode of a plurality of EEG electrodes monitoring a head of the subject, clustering the plurality of EEG datasets into a plurality of clusters, computing a p-adic representation of the plurality of clusters, extracting a quantum potential value from p-adic representation of the plurality of clusters, and diagnosing the medical state associated with the neuro-psychiatric disorder according to the quantum potential relative to a threshold that separates between presence of the medical state and non-presence of the medical state.

Abstract: Compositions comprising a cell-derived particle associated with Cannabidiol (CBD), and uses thereof in treating medical conditions that can benefit from Cannabidiol (CBD) are provided.

Abstract: Using microstate data to evaluate Alzheimer's disease including dementia and/or mild cognitive impairment and/or depression and optionally provide treatment based on the diagnosis and/or modify treatment and/or diagnosis based on response to treatment, optionally as measured using microstate data. In one example, the method includes analyzing EEG data to generate one or more EEG parameter; and generating a risk for one or both of depression and MCI (mild cognitive impairment) based on said one or more EEG parameters. Optionally, the disease comprises MCI. Optionally, the disease comprises depression. Optionally, the one or more EEG parameter comprises a microstate-derived parameter. Optionally, the one or more EEG parameter comprises a microstate duration derived parameter.

Abstract: A method for evaluating a treatment for a brain condition, including: extracting one or more microstate parameter values from at least one EEG signal that was measured after the treatment; evaluating at least one parameter of the treatment based on the one or more microstate parameter values.