An apparatus configured to perform melodic intonation therapy, MIT, to reduce aphasia, the apparatus comprising: a data collection module configured to digitally collect action request response data from a human subject provided with an action request for imitation, wherein said action comprises producing speech, music, pitch, melody, rhythm or another sound, said collected response data comprising physiological data and sound data, the sound data comprising at least one of speech data, music data and rhythm data, and the physiological data comprising sensed physiological data selected from the group consisting of brain waves, arcuate fasciculus, AF, stimulation, AF growth, indicia of elevated inter-hemispheric brain activity during action request response, and indicating the subject's stress reaction to the subject's response; a real-time deconstruction module configured to deconstruct the collected response data into smallest meaningful units, said subcomponents, the subcomponents being expressed as a stored data sample in real time; an analysis module configured to in real time digitally process and compare the request response subcomponents of the at least one of the speech data, music data, rhythm data with the matching subcomponents of the action request, correlate the subcomponents of the physiological response with the at least one of the speech data, music data and rhythm data subcomponents of the subject's response to the action request, an intelligent reasoning module in communication with the analysis module, and configured to associate the physiological subcomponents with sound subcomponents and generate a new action request configured to move the subject response toward a more accurate imitation of the action request; an outgoing communication module configured to communicate the new action request to the subject; wherein pursuant to the comparisons, incorrect sound subcomponents are isolated, and reconstructed based on the correlations to generate the new request; and wherein the analysis module is configured to, pursuant to isolating incorrect subcomponents, find a distance with improvements, weigh a difficulty of improvements and correlate this information with the physiological data. a data collection module configured to digitally collect action request response data from a human subject provided with an action request for imitation, wherein said action comprises producing speech, music, pitch, melody, rhythm or another sound, said collected response data comprising physiological data and sound data, the sound data comprising at least one of speech data, music data and rhythm data, and the physiological data comprising sensed physiological data selected from the group consisting of brain waves, arcuate fasciculus, AF, stimulation, AF growth, indicia of elevated inter-hemispheric brain activity during action request response, and indicating the subject's stress reaction to the subject's response; a real-time deconstruction module configured to deconstruct the collected response data into smallest meaningful units, said subcomponents, the subcomponents being expressed as a stored data sample in real time; an analysis module configured to in real time digitally process and compare the request response subcomponents of the at least one of the speech data, music data, rhythm data with the matching subcomponents of the action request, correlate the subcomponents of the physiological response with the at least one of the speech data, music data and rhythm data subcomponents of the subject's response to the action request, an intelligent reasoning module in communication with the analysis module, and configured to associate the physiological subcomponents with sound subcomponents and generate a new action request configured to move the subject response toward a more accurate imitation of the action request; an outgoing communication module configured to communicate the new action request to the subject; wherein pursuant to the comparisons, incorrect sound subcomponents are isolated, and reconstructed based on the correlations to generate the new request; and wherein the analysis module is configured to, pursuant to isolating incorrect subcomponents, find a distance with improvements, weigh a difficulty of improvements and correlate this information with the physiological data.