<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Neurology Product Guide &#187; Electroencephalography (EEG)</title>
	<atom:link href="http://www.neurologyproductguide.com/blog/category/electroencephalography-eeg/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.neurologyproductguide.com/blog</link>
	<description>A comprehensive guide to neurology products for medical professionals</description>
	<lastBuildDate>Tue, 27 Jul 2010 08:29:25 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.2</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Referenced-EEG Has 65 Percent &#8220;Success&#8221; Rates on Treatment-Resistant Depression</title>
		<link>http://www.neurologyproductguide.com/blog/2010/07/09/referenced-eeg-has-65-percent-success-rates-on-treatment-resistant-depression/</link>
		<comments>http://www.neurologyproductguide.com/blog/2010/07/09/referenced-eeg-has-65-percent-success-rates-on-treatment-resistant-depression/#comments</comments>
		<pubDate>Fri, 09 Jul 2010 19:00:08 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[CNS Response]]></category>
		<category><![CDATA[Journal of Psychiatric Research]]></category>
		<category><![CDATA[pharmacotherapy]]></category>
		<category><![CDATA[rEEG]]></category>
		<category><![CDATA[Referenced-EEG]]></category>
		<category><![CDATA[treatment-resistant depression]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/?p=248</guid>
		<description><![CDATA[CNS Response today announced that physicians using Referenced-EEG (rEEG(R)) had &#8220;success&#8221; rates reaching 65 percent for patients with treatment-resistant depression. Referenced-EEG showed &#8220;significant improvement&#8221; in informing pharmacotherapy for treatment-resistant patients in a 12-week study, according to the Journal of Psychiatric Research article.
]]></description>
			<content:encoded><![CDATA[<p>CNS Response today announced that physicians using Referenced-EEG (rEEG(R)) had &#8220;success&#8221; rates reaching 65 percent for patients with treatment-resistant depression. Referenced-EEG showed &#8220;significant improvement&#8221; in informing pharmacotherapy for treatment-resistant patients in a 12-week study, according to the Journal of Psychiatric Research article.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2010/07/09/referenced-eeg-has-65-percent-success-rates-on-treatment-resistant-depression/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Dutch researchers explore advanced brain diagnostic techniques</title>
		<link>http://www.neurologyproductguide.com/blog/2009/12/23/dutch-researchers-explore-advanced-brain-diagnostic-techniques/</link>
		<comments>http://www.neurologyproductguide.com/blog/2009/12/23/dutch-researchers-explore-advanced-brain-diagnostic-techniques/#comments</comments>
		<pubDate>Wed, 23 Dec 2009 10:14:29 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[Brain Symmetry Index]]></category>
		<category><![CDATA[EEG techniques]]></category>
		<category><![CDATA[Medisch Spectrum Twente Hospital]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/?p=193</guid>
		<description><![CDATA[Medisch Spectrum Twente Hospital (MST) researchers have developed several quantitative EEG techniques for the purposes of EEG monitoring, one of them being the Brain Symmetry Index. BSI extracts the essential data from an EEG and converts it into a clear signal, or even into written text. An initial prototype is already undergoing evaluation in an [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/12/EEG1.png"><img class="alignleft size-full wp-image-195" style="margin: 5px" src="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/12/EEG1.png" border="0" alt="EEG1" width="200" height="155" /></a>Medisch Spectrum Twente Hospital (MST) researchers have developed several quantitative EEG techniques for the purposes of EEG monitoring, one of them being the Brain Symmetry Index. BSI extracts the essential data from an EEG and converts it into a clear signal, or even into written text. An initial prototype is already undergoing evaluation in an intensive care setting. Further development will take place in close collaboration with MST and the University Medical Centre in Nijmegen.</p>
<p>For the full story, <a href="http://www.physorg.com/news180620071.html" target="_blank">Click Here</a></p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2009/12/23/dutch-researchers-explore-advanced-brain-diagnostic-techniques/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Test can help in gauging response to antidepressants</title>
		<link>http://www.neurologyproductguide.com/blog/2009/10/06/test-can-help-in-gauging-response-to-antidepressants/</link>
		<comments>http://www.neurologyproductguide.com/blog/2009/10/06/test-can-help-in-gauging-response-to-antidepressants/#comments</comments>
		<pubDate>Wed, 07 Oct 2009 02:48:26 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Devices & Systems]]></category>
		<category><![CDATA[Electrodes]]></category>
		<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[antidepressant]]></category>
		<category><![CDATA[earlobes]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[Semel Institute for Neuroscience and Human Behavior]]></category>
		<category><![CDATA[UCLA]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/?p=150</guid>
		<description><![CDATA[An experimental test, which involves placing of six electrodes around the forehead and on the earlobes, can accurately predict within a week whether a particular antidepressant will be effective by using brain-wave patterns on an EEG. The lead author of the study and professor of psychiatry at the Semel Institute for Neuroscience and Human Behavior [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/10/Semel.png"><img class="alignright size-full wp-image-151" style="margin: 5px" src="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/10/Semel.png" alt="Semel" width="200" height="192" /></a>An experimental test, which involves placing of six electrodes around the forehead and on the earlobes, can accurately predict within a week whether a particular antidepressant will be effective by using brain-wave patterns on an EEG. The lead author of the study and professor of psychiatry at the Semel Institute for Neuroscience and Human Behavior at UCLA, Dr. Andrew Leuchter, said that until now there had been no reliable method for predicting whether a medication would lead to a good response or remission. The test can be performed in 10 to 15 minutes in any office setting.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2009/10/06/test-can-help-in-gauging-response-to-antidepressants/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Study links random and unstructured brain activity to Alzheimer&#8217;s</title>
		<link>http://www.neurologyproductguide.com/blog/2009/09/01/study-links-random-and-unstructured-brain-activity-to-alzheimers/</link>
		<comments>http://www.neurologyproductguide.com/blog/2009/09/01/study-links-random-and-unstructured-brain-activity-to-alzheimers/#comments</comments>
		<pubDate>Wed, 02 Sep 2009 03:06:55 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[AD]]></category>
		<category><![CDATA[Alzheimer's]]></category>
		<category><![CDATA[dementia]]></category>
		<category><![CDATA[frontotemporal lobar degeneration]]></category>
		<category><![CDATA[FTLD]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/?p=131</guid>
		<description><![CDATA[A recent study reflected that the brain activity networks of those with Alzheimer&#8217;s disease (AD) was more random and unstructured, which was a deviation from the optimal balance between local specialization and global integration seen in individuals without dementia. The study was conducted by applying the network mapping technique described in the open access journal [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/09/VUuniversity.png"><img class="alignright size-full wp-image-132" style="margin: 5px" src="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/09/VUuniversity.png" alt="VUuniversity" width="200" height="42" /></a>A recent study reflected that the brain activity networks of those with Alzheimer&#8217;s disease (AD) was more random and unstructured, which was a deviation from the optimal balance between local specialization and global integration seen in individuals without dementia. The study was conducted by applying the network mapping technique described in the open access journal BMC Neuroscience to the EEG data obtained from patients with AD and frontotemporal lobar degeneration (FTLD, a less common type of dementia with more prominent behavioral symptoms). The researchers claim that these results support the &#8216;disconnection syndrome&#8217; hypothesis of AD; deterioration of cognition due to loss of functional connectivity and organization.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2009/09/01/study-links-random-and-unstructured-brain-activity-to-alzheimers/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>FDA approves portable EEG device</title>
		<link>http://www.neurologyproductguide.com/blog/2009/08/19/fda-approves-portable-eeg-device/</link>
		<comments>http://www.neurologyproductguide.com/blog/2009/08/19/fda-approves-portable-eeg-device/#comments</comments>
		<pubDate>Wed, 19 Aug 2009 07:54:32 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[BrainScope]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[electroencephalogram]]></category>
		<category><![CDATA[FDA]]></category>
		<category><![CDATA[traumatic brain injury]]></category>
		<category><![CDATA[ZOOM-100DC]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/?p=123</guid>
		<description><![CDATA[The FDA has approved BrainScope ZOOM-100DC, a handheld device for people with possible traumatic brain injury. The ZOOM-100DC is intended to monitor the state of the brain by acquisition and display of electroencephalogram (EEG) signals. The 8-channel product, capable of recording and displaying EEG waveforms and providing conventional EEG measures displayed in tables, is designed [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/08/Brainscope.png"><img class="alignright size-full wp-image-124" style="margin: 5px" src="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/08/Brainscope.png" alt="Brainscope" width="200" height="39" /></a>The FDA has approved BrainScope ZOOM-100DC, a handheld device for people with possible traumatic brain injury. The ZOOM-100DC is intended to monitor the state of the brain by acquisition and display of electroencephalogram (EEG) signals. The 8-channel product, capable of recording and displaying EEG waveforms and providing conventional EEG measures displayed in tables, is designed especially for those patients who don&#8217;t have immediate access to a hospital.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2009/08/19/fda-approves-portable-eeg-device/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>IMEC develops battery-free wireless EEG system</title>
		<link>http://www.neurologyproductguide.com/blog/2009/07/14/imec-develops-battery-free-wireless-eeg-system/</link>
		<comments>http://www.neurologyproductguide.com/blog/2009/07/14/imec-develops-battery-free-wireless-eeg-system/#comments</comments>
		<pubDate>Wed, 15 Jul 2009 04:44:14 +0000</pubDate>
		<dc:creator>Jim Marino</dc:creator>
				<category><![CDATA[Electroencephalography (EEG)]]></category>
		<category><![CDATA[]]></category>
		<category><![CDATA[battery-free EEG]]></category>
		<category><![CDATA[IMEC]]></category>
		<category><![CDATA[wireless EEG]]></category>

		<guid isPermaLink="false">http://www.neurologyproductguide.com/blog/2009/07/14/imec-develops-battery-free-wireless-eeg-system/</guid>
		<description><![CDATA[IMEC has developed a battery-free wireless 2-channel EEG system powered by a hybrid power supply using body heat and ambient light. The hybrid power supply combines a thermoelectric generator that uses the heat dissipated from a person&#8217;s temples and silicon photovoltaic cells. The entire system is wearable and integrated into a device resembling headphones.
]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.neurologyproductguide.com/blog/wp-content/uploads/2009/07/imec.png" align="left" height="53" width="200" vspace="5" hspace="5" />IMEC has developed a battery-free wireless 2-channel EEG system powered by a hybrid power supply using body heat and ambient light. The hybrid power supply combines a thermoelectric generator that uses the heat dissipated from a person&#8217;s temples and silicon photovoltaic cells. The entire system is wearable and integrated into a device resembling headphones.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.neurologyproductguide.com/blog/2009/07/14/imec-develops-battery-free-wireless-eeg-system/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
