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  <title>New Publication!</title>
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  <description>&lt;span&gt;New Publication!&lt;/span&gt;
&lt;span&gt;&lt;span&gt;Anjum Hussain&lt;/span&gt;&lt;/span&gt;
&lt;span&gt;&lt;time datetime="2021-10-01T10:52:00-07:00" title="Friday, October 1, 2021 - 10:52"&gt;Fri, 10/01/2021 - 10:52&lt;/time&gt;
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            Oct 01, 2021    
            &lt;h2&gt;Global, Low-Amplitude Cortical State Predicts Response Outcomes in a Selective Detection Task in Mice&lt;/h2&gt;

&lt;div&gt;Krista Marrero, Krithiga Aruljothi, Behzad Zareian, Chengchun Gao, Zhaoran Zhang, Edward Zagha&lt;/div&gt;

&lt;p&gt;Published in Cerebral Cortex on 25 September 2021&lt;/p&gt;

&lt;h3&gt;Abstract&lt;/h3&gt;

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&lt;p&gt;Spontaneous neuronal activity strongly impacts stimulus encoding and behavioral responses. We sought to determine the effects of neocortical prestimulus activity on stimulus detection. We trained mice in a selective whisker detection task, in which they learned to respond (lick) to target stimuli in one whisker field and ignore distractor stimuli in the contralateral whisker field. During expert task performance, we used widefield Ca&lt;sup&gt;2+&lt;/sup&gt;&amp;nbsp;imaging to assess prestimulus and post-stimulus neuronal activity broadly across frontal and parietal cortices. We found that lower prestimulus activity correlated with enhanced stimulus detection: lower prestimulus activity predicted response versus no response outcomes and faster reaction times. The activity predictive of trial outcome was distributed through dorsal neocortex, rather than being restricted to whisker or licking regions. Using principal component analysis, we demonstrate that response trials are associated with a distinct and less variable prestimulus neuronal subspace. For single units, prestimulus choice probability was weak yet distributed broadly, with lower than chance choice probability correlating with stronger sensory and motor encoding. These findings support low amplitude and low variability as an optimal prestimulus cortical state for stimulus detection that presents globally and predicts response outcomes for both target and distractor stimuli.&lt;/p&gt;

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            &lt;span class="file file--mime-application-pdf file--application-pdf"&gt;&lt;a href="https://ngsa.ucr.edu/sites/default/files/2021-10/Dr.%20Edward%20Zagha%20Publication.pdf" type="application/pdf"&gt;Dr. Edward Zagha Publication.pdf&lt;/a&gt;&lt;/span&gt;
  &lt;span&gt;(2.56 MB)&lt;/span&gt;
    
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  <pubDate>Fri, 01 Oct 2021 17:52:00 +0000</pubDate>
    <dc:creator>Anjum Hussain</dc:creator>
    <guid isPermaLink="false">106 at https://ngsa.ucr.edu</guid>
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