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The current study applied power spectral analysis and magnitude\u2010squared coherence (MSC) statistics (frequency\u2010domain measures) to VEPs recorded during 1\u2010minute runs and with a recently developed short\u2010duration technique that allow for objective examination of the responses (Zemon &amp; Gordon, <jats:italic>European Journal of Neuroscience<\/jats:italic>, 2018, <jats:italic>48<\/jats:italic>, 1765\u20131788) from nonautistic and autistic children. Results indicate that, for both groups, early time\u2010domain measures (P<jats:sub>60<\/jats:sub>, N<jats:sub>75<\/jats:sub>, P<jats:sub>100<\/jats:sub>) are highly correlated with middle\u2010 and high\u2010frequency (14\u201328 and 30\u201348\u2009Hz, respectively) mechanisms, and late measures are highly correlated with a low\u2010frequency (6\u201312\u2009Hz) mechanism. One frequency\u2010domain measure (power in the middle\u2010frequency band) is capable of predicting the key amplitude measure (N<jats:sub>75<\/jats:sub>\u2010P<jats:sub>100<\/jats:sub>) with high accuracy. MSC and power measures were combined to yield separate measures of signal and noise strength to evaluate alternate hypotheses in autism. Linear mixed\u2010effects modeling demonstrated selective differences in early time\u2010domain and middle\u2010to\u2010high frequency\u2010domain measures in autistic children as compared to nonautistic children given both recording techniques, implicating weaker excitatory input to the cortex. Receiver\u2010operating\u2010characteristic curve analysis showed predictive diagnostic accuracy for middle\u2010 and high\u2010frequency bands based on MSC. These findings support the value of frequency analysis measures (power spectral analysis and MSC) in the objective examination of neural differences in autism.<\/jats:p><\/jats:sec><jats:sec><jats:title>Lay Summary<\/jats:title><jats:p>Visual evoked potentials (VEPs) are used to assess neural mechanisms. Typically, VEPs are analyzed by subjective examination of time\u2010series waveforms; but here objective techniques were applied to quantify VEP frequency components to investigate neural differences between autistic and nonautistic children. The objective measures demonstrate group differences in brain function that point to weaker excitatory input to the cortex in autism.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aur.2654","type":"journal-article","created":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T08:02:51Z","timestamp":1639555371000},"page":"464-480","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Objective frequency analysis of transient visual evoked potentials in autistic children"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1867-2660","authenticated-orcid":false,"given":"Chloe","family":"Brittenham","sequence":"first","affiliation":[{"name":"Department of Psychology, The Graduate Center City University of New York  New York New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Gordon","sequence":"additional","affiliation":[{"name":"Department of Psychology Hunter College  New York New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vance M.","family":"Zemon","sequence":"additional","affiliation":[{"name":"Ferkauf Graduate School of Psychology Yeshiva University  Bronx New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paige M.","family":"Siper","sequence":"additional","affiliation":[{"name":"Seaver Autism Center for Research and Treatment Icahn School of Medicine at Mount Sinai  New York New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,12,14]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/aur.2166"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/286073"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainres.2010.11.078"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2020.00297"},{"key":"e_1_2_9_7_1","volume-title":"Social responsiveness scale: SRS\u20102","author":"Constantino J. 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