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<title>Volume 7, Issue 2 (2016) | Neuroscience International</title>
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    <title><![CDATA[Green Tea Treatment Attenuates Oxidative Damage and Neuromotor Deficit Induced by an Experimental Model of Intracerebral Hemorrhage in Rats]]></title>
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        <![CDATA[<p>Neuroscience International, Published online: 19 March 2017; <a href="https://thescipub.com/ni/amjnsp.2016.11.18">doi:10.3844/amjnsp.2016.11.18</a></p>The present study shows the neuroprotective effect of green tea supplementation (GT; Camellia sinensis) in a model of Intracerebral Hemorrhage (ICH) in rats. ICH was induced by intra-striatum collagen...]]></content:encoded>
    <dc:title><![CDATA[Green Tea Treatment Attenuates Oxidative Damage and Neuromotor Deficit Induced by an Experimental Model of Intracerebral Hemorrhage in Rats]]></dc:title><dc:creator>Mauren Assis Souza</dc:creator><dc:creator>Caroline Dalla Colletta Altermann</dc:creator><dc:creator>Alexandre dos Santos Martins</dc:creator><dc:creator>Priscila Marques Sosa</dc:creator><dc:creator>Cristiano Chiapinotto Spiazzi</dc:creator><dc:creator>Francieli Weber Santos</dc:creator><dc:creator>Pamela Billig Mello-Carpes</dc:creator><dc:identifier>doi:10.3844/amjnsp.2016.11.18</dc:identifier>
    <dc:source>Neuroscience International, Published online: 2017-03-19; | doi:10.3844/amjnsp.2016.11.18</dc:source>
    <dc:date>2017-03-19</dc:date>
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    <prism:doi>10.3844/amjnsp.2016.11.18</prism:doi>
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    <title><![CDATA[Efficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and Tools]]></title>
    <link>https://thescipub.com/ni/amjnsp.2016.19.44</link>
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        <![CDATA[<p>Neuroscience International, Published online: 4 October 2017; <a href="https://thescipub.com/ni/amjnsp.2016.19.44">doi:10.3844/amjnsp.2016.19.44</a></p>The development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to preven...]]></content:encoded>
    <dc:title><![CDATA[Efficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and Tools]]></dc:title><dc:creator>Vinutha  N.</dc:creator><dc:creator>P. Deepa Shenoy</dc:creator><dc:creator>K.R.  Venugopal</dc:creator><dc:identifier>doi:10.3844/amjnsp.2016.19.44</dc:identifier>
    <dc:source>Neuroscience International, Published online: 2017-10-04; | doi:10.3844/amjnsp.2016.19.44</dc:source>
    <dc:date>2017-10-04</dc:date>
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    <prism:doi>10.3844/amjnsp.2016.19.44</prism:doi>
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