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    <title>Nature Precedings - Tag feed for fMRI</title>
    <link>http://precedings.nature.com/tags/fMRI</link>
    <description>Recently posted documents tagged with 'fMRI'</description>
    <dc:publisher>Nature Publishing Group</dc:publisher>
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      <title>Nature Precedings</title>
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      <title>Cortical activity modulation of language processing by dynamic optimization of task complexity and functional restrictions</title>
      <link>http://precedings.nature.com/documents/3941/version/1</link>
      <description>Language, regarded as a hierarchical cognitive code activated by functional operational modes of the brain by most neuropsychologists, is characterized by increased cognitive load in successively higher levels of processing. Language comprehension is posited to be executed through symbolic-iconic information being encoded neurally as modulated phenomena, and can be studied in vivo by functional brain imaging. Using a lexical decision-making task in conjunction with syntactic error correction that effectively isolated the regulatory neural substrate of processing structural-functional information, and minimizing the possible confounds of gender and proficiency, functional magnetic resonance imaging (fMRI) was performed on bilingual volunteers to ascertain the attentional modulation of second language lexical and sentence processing. Our results indicate that while a right posterior cingulate gyrus-precuneus-lingual gyrus-cerebellar loop processes lexical information, the left inferior and middle frontal cortices are critically involved in the implementation of a structural-functional decision-making procedural loop in mediating second language comprehension. </description>
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      <pubDate>Wed, 04 Nov 2009 13:56:52 UTC</pubDate>
      <dc:title>Cortical activity modulation of language processing by dynamic optimization of task complexity and functional restrictions</dc:title>
      <dc:identifier>hdl:10101/npre.2009.3941.1</dc:identifier>
      <dc:date>2009-11-04</dc:date>
      <dc:creator>Shantanu Ghosh</dc:creator>
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      <prism:publicationDate>2009-11-04T13:56:52Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
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      <title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</title>
      <link>http://dx.doi.org/10.1038/npre.2009.3267.5</link>
      <description>A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging.</description>
      <guid>http://dx.doi.org/10.1038/npre.2009.3267.5</guid>
      <pubDate>Mon, 13 Jul 2009 09:15:30 UTC</pubDate>
      <dc:title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</dc:title>
      <dc:identifier>doi:10.1038/npre.2009.3267.5</dc:identifier>
      <dc:date>2009-07-13</dc:date>
      <dc:creator>Aaron G. Filler</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-07-13T09:15:30Z</prism:publicationDate>
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      <prism:section>Biotechnology</prism:section>
      <prism:section>Cancer</prism:section>
      <prism:section>Neuroscience</prism:section>
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      <title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</title>
      <link>http://precedings.nature.com/documents/3267/version/4</link>
      <description>A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging.</description>
      <guid>http://precedings.nature.com/documents/3267/version/4</guid>
      <pubDate>Wed, 01 Jul 2009 12:48:06 UTC</pubDate>
      <dc:title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</dc:title>
      <dc:identifier>hdl:10101/npre.2009.3267.4</dc:identifier>
      <dc:date>2009-07-01</dc:date>
      <dc:creator>Aaron G. Filler</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-07-01T12:48:06Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Cancer</prism:section>
      <prism:section>Neuroscience</prism:section>
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      <title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</title>
      <link>http://dx.doi.org/10.1038/npre.2009.3267.3</link>
      <description>A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging.</description>
      <guid>http://dx.doi.org/10.1038/npre.2009.3267.3</guid>
      <pubDate>Tue, 30 Jun 2009 08:53:58 UTC</pubDate>
      <dc:title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</dc:title>
      <dc:identifier>doi:10.1038/npre.2009.3267.3</dc:identifier>
      <dc:date>2009-06-30</dc:date>
      <dc:creator>Aaron G. Filler</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-06-30T08:53:58Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Cancer</prism:section>
      <prism:section>Neuroscience</prism:section>
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      <title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</title>
      <link>http://dx.doi.org/10.1038/npre.2009.3267.2</link>
      <description>A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging.</description>
      <guid>http://dx.doi.org/10.1038/npre.2009.3267.2</guid>
      <pubDate>Tue, 26 May 2009 11:04:09 UTC</pubDate>
      <dc:title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</dc:title>
      <dc:identifier>doi:10.1038/npre.2009.3267.2</dc:identifier>
      <dc:date>2009-05-26</dc:date>
      <dc:creator>Aaron G. Filler</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-05-26T11:04:09Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Cancer</prism:section>
      <prism:section>Neuroscience</prism:section>
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      <title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</title>
      <link>http://precedings.nature.com/documents/3267/version/1</link>
      <description>A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging.</description>
      <guid>http://precedings.nature.com/documents/3267/version/1</guid>
      <pubDate>Thu, 21 May 2009 09:12:24 UTC</pubDate>
      <dc:title>The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI</dc:title>
      <dc:identifier>hdl:10101/npre.2009.3267.1</dc:identifier>
      <dc:date>2009-05-21</dc:date>
      <dc:creator>Aaron G. Filler</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-05-21T09:12:24Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Biotechnology</prism:section>
      <prism:section>Cancer</prism:section>
      <prism:section>Neuroscience</prism:section>
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      <title>Modularity maps reveal community structure in the resting human brain</title>
      <link>http://precedings.nature.com/documents/3069/version/1</link>
      <description>The brain is a complex network of interconnecting neurons that combines regional specificity with distributed processing. Recent advances in the field of network theory have facilitated ground-breaking analyses demonstrating that brain connectivity exhibits small-world properties similar to other self-organized networks such as the internet, the genome, or even social organizations. Brain connectivity supports local and global processing through high clustering and short connectivity paths, respectively. While these comprehensive network indices highlight the global organization of the network, the regional specificity is related to the interconnectivity of local neighborhoods within the global system. The work presented here evaluated the community structure of resting human brain networks to identify the local neighborhoods and map those interconnected areas back to the brain. The study identified predictable clustering in unisensory cortices. However, the unexpected community structure in the default-mode network (DMN) revealed three separate modules and included the lateral frontal cortices in addition to traditional DMN regions. These results are the first to map modularity across the entire brain without restricting analyses to predefined anatomical structures. Such analyses provide an unbiased view of network communities and promise to provide new insights into organization of the brain. Evaluation of modular brain structure across states, during demanding tasks, or in disease populations will reveal dynamic connectivity changes in whole-brain networks.</description>
      <guid>http://precedings.nature.com/documents/3069/version/1</guid>
      <pubDate>Fri, 17 Apr 2009 20:57:44 UTC</pubDate>
      <dc:title>Modularity maps reveal community structure in the resting human brain</dc:title>
      <dc:identifier>hdl:10101/npre.2009.3069.1</dc:identifier>
      <dc:date>2009-04-17</dc:date>
      <dc:creator>Paul Laurienti</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-04-17T20:57:44Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
      <prism:section>Bioinformatics</prism:section>
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    <item>
      <title>Cerebral and Spinal Modulation of Pain by Emotions</title>
      <link>http://precedings.nature.com/documents/2885/version/1</link>
      <description>Emotions have powerful effects on pain perception. However, the brain mechanisms underlying these effects remain largely unknown. In this study, we combined functional cerebral imaging with psychophysiological methods to explore the neural mechanisms implicated in the emotional modulation of spinal nociceptive responses (RIII-reflex) and pain perception in healthy participants. Emotions induced by pleasant or unpleasant pictures modulated the responses to painful electrical stimulations in the right insula, paracentral lobule, parahippocampal gyrii, thalamus and amygdala. Right insula activation covaried with the modulation of pain perception, consistent with a role of this structure in the integration of pain signals with the ongoing emotion. In contrast, activity in the thalamus and amygdala was associated with the modulation of spinal reflex responses. Connectivity analyses further supported a segregation of networks involved in cerebral and cerebro-spinal modulation, highlighting the multiplicity of emotion-related processes affecting pain.</description>
      <guid>http://precedings.nature.com/documents/2885/version/1</guid>
      <pubDate>Thu, 26 Feb 2009 13:58:45 UTC</pubDate>
      <dc:title>Cerebral and Spinal Modulation of Pain by Emotions</dc:title>
      <dc:identifier>hdl:10101/npre.2009.2885.1</dc:identifier>
      <dc:date>2009-02-26</dc:date>
      <dc:creator>Mathieu Roy</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-02-26T13:58:45Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
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    <item>
      <title>The Functional Autism Connectome</title>
      <link>http://dx.doi.org/10.1038/npre.2008.2724.1</link>
      <description>This presentation provides an overview of a dissertation regarding functional brain networks in autism based on signal transduction and functional magnetic resonance imaging (fMRI) research.Kelley, D.J. (2008). Functional connectivity of affective face processing networks in autism. Dissertation Abstract International, 69(5), 2816B, 458 pages. (UMI No. AAT 3314120; ISBN: 9780549628781). Retrieved December 22, 2008, from Dissertations and Theses database.[http://proquest.umi.com/pqdlink?did=1606794441&amp;#38;Fmt=7&amp;#38;clientId=79356&amp;#38;RQT=309&amp;#38;VName=PQD]</description>
      <guid>http://dx.doi.org/10.1038/npre.2008.2724.1</guid>
      <pubDate>Sat, 27 Dec 2008 19:05:07 UTC</pubDate>
      <dc:title>The Functional Autism Connectome</dc:title>
      <dc:identifier>doi:10.1038/npre.2008.2724.1</dc:identifier>
      <dc:date>2008-12-27</dc:date>
      <dc:creator>Daniel Kelley</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2008-12-27T19:05:07Z</prism:publicationDate>
      <prism:category>Presentation</prism:category>
      <prism:section>Neuroscience</prism:section>
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    <item>
      <title>Endogenous human brain dynamics recover slowly following cognitive effort</title>
      <link>http://dx.doi.org/10.1038/npre.2008.2665.1</link>
      <description>In functional magnetic resonance imaging, the brain&amp;#8217;s response to experimental cognitive tasks is usually assumed to be independent of endogenous oscillations. To test this assumption, we measured fractal scaling of fMRI time-series before and after a working memory task. Prolonged and task difficulty-related changes in post-task &amp;#8216;resting&amp;#8217; data suggest that brain dynamics recover slowly from cognitive effort, contrary to the reflexive model that background oscillations are independent of task performance.</description>
      <guid>http://dx.doi.org/10.1038/npre.2008.2665.1</guid>
      <pubDate>Mon, 22 Dec 2008 11:40:30 UTC</pubDate>
      <dc:title>Endogenous human brain dynamics recover slowly following cognitive effort</dc:title>
      <dc:identifier>doi:10.1038/npre.2008.2665.1</dc:identifier>
      <dc:date>2008-12-22</dc:date>
      <dc:creator>John Suckling</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2008-12-22T11:40:30Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
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