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dc.contributor.authorPoirier, Guillaume L.
dc.contributor.authorHuang, Wei
dc.contributor.authorTam, K.
dc.contributor.authorDiFranza, Joseph R.
dc.contributor.authorKing, Jean A.
dc.date2022-08-11T08:10:30.000
dc.date.accessioned2022-08-23T17:11:19Z
dc.date.available2022-08-23T17:11:19Z
dc.date.issued2016-09-30
dc.date.submitted2017-04-14
dc.identifier.citationBrain Struct Funct. 2016 Sep 28. [Epub ahead of print] <a href="https://doi.org/10.1007/s00429-016-1301-2">Link to article on publisher's site</a>
dc.identifier.issn1863-2653 (Linking)
dc.identifier.doi10.1007/s00429-016-1301-2
dc.identifier.pmid27680743
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46250
dc.description.abstractBrain mechanisms underpinning attention deficit/hyperactivity disorder (ADHD) are incompletely understood. The adolescent spontaneously hypertensive rat (SHR) is a widely studied preclinical model that expresses several of the key behavioral features associated with ADHD. Yet, little is known about large-scale functional connectivity patterns in the SHR, and their potential similarity to those of humans with ADHD. Using an approach comparable to human studies, magnetic resonance imaging in the awake animal was performed to identify whole-brain intrinsic neural connectivity patterns. An independent components analysis of resting-state functional connectivity demonstrated many common components between the SHR and both Wistar Kyoto and Sprague-Dawley control strains, but there was a divergence in other networks. In the SHR, three functional networks involving the striatum had only weak correlations with networks in the two control strains. Conversely, networks involving the visual cortex that was present in both control strains had only weak correlations with networks in the SHR. The implication is that the patterns of brain activity differ between the SHR and the other strains, suggesting that brain connectivity patterns in this animal model of ADHD may provide insights into the neural basis of ADHD. Brain connectivity patterns might also serve to identify brain circuits that could be targeted for the manipulation and evaluation of potential therapeutic options.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27680743&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttps://doi.org/10.1007/s00429-016-1301-2
dc.subjectAttention deficit/hyperactivity disorder
dc.subjectBasal ganglia
dc.subjectCaudate
dc.subjectMagnetic resonance imaging
dc.subjectNeural network
dc.subjectNeuroimaging
dc.subjectPutamen
dc.subjectResting-state functional connectivity
dc.subjectSpontaneously hypertensive rat
dc.subjectVisual stream
dc.subjectMental Disorders
dc.subjectNeuroscience and Neurobiology
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.titleAwake whole-brain functional connectivity alterations in the adolescent spontaneously hypertensive rat feature visual streams and striatal networks
dc.typeArticle
dc.source.journaltitleBrain structure and function
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_pp/787
dc.identifier.contextkey10023162
html.description.abstract<p>Brain mechanisms underpinning attention deficit/hyperactivity disorder (ADHD) are incompletely understood. The adolescent spontaneously hypertensive rat (SHR) is a widely studied preclinical model that expresses several of the key behavioral features associated with ADHD. Yet, little is known about large-scale functional connectivity patterns in the SHR, and their potential similarity to those of humans with ADHD. Using an approach comparable to human studies, magnetic resonance imaging in the awake animal was performed to identify whole-brain intrinsic neural connectivity patterns. An independent components analysis of resting-state functional connectivity demonstrated many common components between the SHR and both Wistar Kyoto and Sprague-Dawley control strains, but there was a divergence in other networks. In the SHR, three functional networks involving the striatum had only weak correlations with networks in the two control strains. Conversely, networks involving the visual cortex that was present in both control strains had only weak correlations with networks in the SHR. The implication is that the patterns of brain activity differ between the SHR and the other strains, suggesting that brain connectivity patterns in this animal model of ADHD may provide insights into the neural basis of ADHD. Brain connectivity patterns might also serve to identify brain circuits that could be targeted for the manipulation and evaluation of potential therapeutic options.</p>
dc.identifier.submissionpathpsych_pp/787
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.contributor.departmentDepartment of Psychiatry, Center for Comparative NeuroImaging


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