https://www.autismcollaborative.org/wiki/index.php?action=history&feed=atom&title=Data_analysis_-_auditory_stimuli 2026-09-26T06:16:19Z Revision history for this page on the wiki MediaWiki 1.24.4 https://www.autismcollaborative.org/wiki/index.php?title=Data_analysis_-_auditory_stimuli&diff=625&oldid=prev 2011-06-13T17:35:21Z

<p>New page: &#039;&#039;&#039;Auditory Stimuli&#039;&#039;&#039; This is not a game, but rather a passive stimulation paradigm comprising a 50 ms tone (consisting of several frequency components) played at various dB SPL intensit...</p> <p><b>New page</b></p><div>&#039;&#039;&#039;Auditory Stimuli&#039;&#039;&#039;<br /> <br /> This is not a game, but rather a passive stimulation paradigm comprising a 50 ms tone (consisting of several frequency components) played at various dB SPL intensities, at intervals of 1000 ms plus a random jitter uniformly distributed over [0, 500 ms]. The paradigm begins with AS_Start (1). A tone is signalled by AS_TONE_PLAYED Volume=&lt;i&gt;n&lt;/i&gt;. The paradigm ends with AS_END.<br /> <br /> Postprocessing is straightforward and no event code translation is needed, other than the usual removal of events numbered 255 or greater, and renumbering of events into a unqique range specific to this paradigm.<br /> <br /> ERPs and ERSPs to each intensity can be computed, and component amplitudes (both in sensor space and in ICA source space) can be used to construct a response curve of ERP component amplitude as a function of stimulus amplitude that classifies each subject as an augmenter, a reducer, or a flat responder.</div>

Belmonte