System for diagnosing mental disorders using neurometrics

A system for diagnosing ASD, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average relative Alpha Power of EEG signals from at least one of the frontal EEG channels and the average relative Alpha Power of EEG signals from at least one of the occipital-parietal EEG channels;
• and
• c. a diagnosis mechanism where the system diagnoses the person with ASD if the average relative frontal Alpha Power is less than about 20% of the average relative occipital-parietal Alpha Power and the average relative frontal Alpha Power is less than about 5%.

A system for diagnosing ASD, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average Alpha Frequency of EEG signals from at least one of the frontal EEG channels and the average Alpha Frequency of EEG signals from at least one of the occipital-parietal EEG channels;
• and
• c. a diagnosis mechanism where the system diagnoses the person with ASD if the average frontal Alpha Frequency is greater than about 0.5 Hz more than the average occipital-parietal Alpha Frequency.

A system for diagnosing Alzheimer's Disease, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average dominant frequency between about 5 Hz and 15 Hz of EEG signals from at least one EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Alzheimer's Disease if the average dominant frequency is less than about 8 Hz.

A system for diagnosing Alzheimer's Disease, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average dominant frequency between about 5 Hz and 15 Hz of EEG signals from at least one EEG channel and the average coherence at the dominant frequency between the EEG signals from at least one frontal EEG channel and at least one occipital-parietal EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Alzheimer's Disease if the average coherence is less than about 10%.

A system for diagnosing Anxiety Disorder, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average entropy of the EEG signals from at least one EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Anxiety Disorder if the average entropy is greater than about 0.7.

A system for diagnosing Depression, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average relative Alpha Power of at least one frontal EEG channel and the average relative Alpha Power of at least one occipital-parietal EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Depression if the average relative frontal Alpha Power is greater than the average relative occipital-parietal Alpha Power.

A system for diagnosing Depression, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average frontal Alpha Frequency of EEG signals from at least one frontal EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Depression if the average relative Q-factor about the average frontal Alpha Frequency of EEG signals from at least one frontal EEG channel is greater than about 8.

A system for diagnosing Schizophrenia, wherein the system comprises:

• a. an EEG recording device for recording the EEG of a person;
• b. a processing device comprising a processor and internal or external memory, in order to calculate the average dominant frequency fd between about 5 Hz and 15 Hz of EEG signals from at least one EEG channel, the average lower dominant frequency between about 5 Hz and about fd−1 Hz of EEG signals from at least one EEG channel, and the average upper dominant frequency between about fd+1 Hz and about 15 Hz of EEG signals from at least one EEG channel;
• and
• c. a diagnosis mechanism where the system diagnoses the person with Schizophrenia if the magnitude of the average power spectrum from at least one EEG channel at the lower dominant frequency is at least about 80% the magnitude of the average power spectrum from at least one EEG channel at the dominant frequency or the magnitude of the average power spectrum from at least one EEG channel at the upper dominant frequency is at least about 80% the magnitude of the average power spectrum from at least one EEG channel at the dominant frequency.