RESULTS Following an extensive review of selected studies from the 201 articles , the studies indicate that each of the psychotropic medications review ed impact alpha , beta , delta and theta waves independently and differently from each other .
Additionally , certain medications , particularly haloperidol and valproic acid , have dissimilar results exemplified in all waveforms .
OBJECTIVES It is known that psychotropic medications have an impact on the readings found in Electroencephalogram ( EEG ) .
In the field of psychiatry , there are several psychotropics utilized by clinicians .
This review seeks to investigate all the available data for psychotropic drugs and their impact on EEG changes .
A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy
OBJECTIVE To investigate whether applying advanced machine learning ( ML ) method ologies to pre-treatment electroencephalography ( EEG ) data can predict the response to clozapine  therapy in adult subjects suffering from chronic schizophrenia . METHODS  Pre-treatment EEG data are collected in 23 + 14 schizophrenic adults . Treatment outcome , after at least one year follow-up , is determined using clinical ratings by a trained clinician blind to EEG results . First , a feature selection scheme is employed to select a reduced subset of features extracted from the subjects ' EEG that is most statistically relevant to our treatment-response prediction . These features are then entered into a classifier , which is realized in the form of a kernel partial least squares regression method that performs response prediction . Various scales , including the positive and negative syndrome scale ( PANSS ) are used as treatment-response indicators . RESULTS We determined that a set of discriminating EEG features do exist . A low-dimensional representation of the feature space showed significant clustering into clozapine responder and non-responder groups . The minimum level of performance of the proposed prediction methodology , tested over a range of conditions using the leave-one-out cross-validation method using the original 23 subjects , with further testing in an independent sample of 14 subjects , was 85 % . CONCLUSIONS These findings indicate that analysis of pre-treatment EEG data can predict the clinical response to clozapine in treatment resistant schizophrenia . SIGNIFICANCE If replicated in a larger population , this novel approach to EEG analysis may assist the clinician in determining treatment-efficacy
RESULTS Following an extensive review of selected studies from the 201 articles , the studies indicate that each of the psychotropic medications review ed impact alpha , beta , delta and theta waves independently and differently from each other .
Additionally , certain medications , particularly haloperidol and valproic acid , have dissimilar results exemplified in all waveforms .
OBJECTIVES It is known that psychotropic medications have an impact on the readings found in Electroencephalogram ( EEG ) .
In the field of psychiatry , there are several psychotropics utilized by clinicians .
This review seeks to investigate all the available data for psychotropic drugs and their impact on EEG changes .