Abstract: A method of predicting the response of a subject to an antipsychotic agent is described. The method includes obtaining functional MRI (fMRI) scan data of the brain of the subject, modifying the scan data using a standardizing algorithm to provide modified scan data, calculating the value of a plurality of striatal connectivity dyads from the modified scan data using an extraction algorithm, calculating a combined score from the values of the striatal connectivity dyads using a combining algorithm; and comparing the combined score to a classifier value to determine if the subject is a responder or a non-responder. Systems for carrying out the method of predicting the response of a subject to an antipsychotic agent are also described.

Abstract: Provided are methods of determining the likelihood that a patient will be diagnosed with schizophrenia.

Abstract: Provided are methods of identifying a genetic profile influencing the relative probability of a subject manifesting a phenotype that is at least partially heritable. Also provided are methods of determining the relative likelihood that a subject will manifest a phenotype that is at least partially heritable. Additionally, methods of determining the relative risk of a human subject for manifesting schizophrenia are provided. Further provided are methods of screening a human embryo in vitro for the risk of becoming a human manifesting schizophrenia. Also, methods of identifying a single nucleotide polymorphism (SNP) variant affecting the risk of a human subject for manifesting schizophrenia are provided. Methods of screening for a compound that may affect schizophrenia are additionally provided.