Abstract: A method is provided for diagnosing the presence of a neurological disorder or otherwise assessing the neurological condition of a patient. The method also allows the assessment of a treatment regimen used by a patient. The method includes the collection and analysis of ERP data. The method of the invention begins by conducting a plurality of ERP trials on a patient. In an embodiment of the invention, the data from the ERP trials is then characterized to produce a characterizing ERP signal vector for the patient. Projections based on the characterizing ERP signal vector are then generated. The projections are compared to information derived from the ERP data of patients having known neurological conditions. To perform diagnosis, the projections are compared to standards, such as one or more characterizing ERP signal vectors from known healthy patients, and one or more characterizing ERP signal vectors from patients known to have the disorder.

Abstract: A method is described for facilitating assessment of susceptibility to stroke. Electrical signals are collected from the brain of a patient under assessment. Data corresponding to the signals is then compared to a standard. The standard may represent a neural electrical signal taken from a person known to be susceptible to stroke. A positive comparison suggests susceptibility of the patient to stroke. The comparison can be used to characterize neural blood flow and the degree of susceptibility. This can be used in determining the need for additional testing and/or appropriate therapy. This information can also be used in categorizing the patient to determine enrollment in clinical trials. Alternatively, the standard represents a neural signal taken at an earlier time from the patient under assessment. A positive comparison suggests that the condition of the patient is unchanged. A negative comparison suggests that the neural activity of the patient has changed, implying changes in neural blood flow.

Abstract: A method and apparatus is described herein for assessing the susceptibility of a patient to stroke. The method begins with the step of collecting electrical signals from the brain of the patient under assessment. Signal data corresponding to the collected electrical signals is then compared to at least one standard. In an embodiment of the invention, the standard represents a neural electrical signal taken from a person known to be susceptible to stroke. A positive comparison result suggests susceptibility of the patient under assessment to stroke. Moreover, the comparison result can be used to characterize the pattern of neural blood flow and the degree of susceptibility to stroke. A strong similarity to a standard taken from another patient of known susceptibility suggests that the patient under assessment is experiencing similar neural blood flow and is susceptible to stroke to a similar degree.

Abstract: A method is provided for diagnosing the presence of a neurological disorder or otherwise assessing the neurological condition of a patient. The method also allows the assessment of a treatment regimen used by a patient. The method includes the collection and analysis of ERP data. The method of the invention begins by conducting a plurality of ERP trials on a patient. In an embodiment of the invention, the data from the ERP trials is then characterized to produce a single characterizing ERP signal vector for the patient. Projections based on the characterizing ERP signal vector are then generated. The projections are compared to information derived from the ERP data of patients having known neurological conditions. To perform diagnosis, the projections are compared to standards, such as one or more characterizing ERP signal vectors from known healthy patients, and one or more characterizing ERP signal vectors from s patient known to have the disorder.