The primary focus of this report is to advance in depth study of the neurological correlates of GSR with the intention, on one hand, to clarify the neurological patterns produced during recording, monitoring and analysis of GSR, and on the other hand, to delineate the methodological profile that absolutely must be followed during the recording of this GSR signal. In this context, the present relation formulates the methodological criteria that the operator must follow during the recording, monitoring, and analysis of the GSR signal. The relation defines and prioritizes GSR signal evaluation under these different conditions: the GSR should be recorded at rest and affected by different stimuli, specifically: visual stimuli such as sudden bursts of light as well as images modified to create multi-level energetic allocations, that is, soft images but also more potent images able to induce strong visual perturbation, linguistic stimuli including words and phrases across a spectrum of energetic/affective presentation (neutral, soft, strong and shocking), tactile stimuli (again soft, sudden, and of short duration as well as strong, shocking and continued [of consistent duration]), addressing different parts of the body throughout the session. Auditory stimulus and olfactory stimulus will be included in the test procedures. All the stimuli may be repeated several times in order to evaluate habituation, memory, recall and other important neurological functions. Other stimuli may be used to foster memory load and stress, as well as conflicting semantic stimuli, respectively, to be represented in resultant numerical calculations reflecting mental performance, evidenced through Stroop effects, and every other cognitive demonstration. It is important to keep in mind that the most difficult step in maintaining accurate GSR monitoring and analysis, is to insure proper subjective evaluation of the manner in which a subject responds to different levels of visual input, sounds, words, language strings (phrases) and tactile stimuli, in the context of habituation, meaning, the performance of subject response to repeated identical subsequent stimuli, or mnemic recall of previous stimuli. For proper evaluation of subjective parameters, that is calibration, it is necessary the explore a great variety of stimuli differentiated as previously described. The term calibration here refers to the fact that each subject has a subjective behavioral component in their GSR. Therefore, it becomes of fundamental importance to identify and estimate the basic parameters in his/her personal context in absolute values as well as in relation to standards, eventually established, tabulated and recorded from normal subjects constituting a large GSR database obtained by monitoring a suitable population of subjects. Consequently, the various responses to a defined stimuli have a particular, fundamental role in GSR monitoring that relates to the methodological profile since, under different conditions of stimulus, the operator may calibrate the recorded GSR subjective profile in terms of the basic parameters derived across population that characterize the phase of the GSR signal, such as Habituation, Latency Time under stimuli, Reaction Times, Peak Values subsequent to stimuli, Half Recovery Time following the peak amplitude of the phase, yielding a baseline value resultant of different stimuli, within the neurological correlates identified across a sampled population, allowing a correct, relative subjective analysis of the tone and of the phase of the GSR signal by Linear and Non Linear methodologies. Toward this end it is important to recall that GSR is an intrinsically non linear electrophysiological signal. Therefore its recording enables subsequent analysis based from one side on the fixation and estimation of basic established parameters such as latency, reaction times, peak amplitude, half recovery time, baseline compared at rest and after various stimuli as specified, and from the other, relating that baseline to aspects of the time series for the tone and phase of each subject subjected to analysis by non linear methodologies. In this way we may ascertain the real inner structure of the complex electrophysiological signal.
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