Hauptseite > Publikationsdatenbank > Is the ADHD Brain Wired Differently? A Review on Structural and Functional Connectivity in Attention Deficit Hyperactivity Disorder > print

001     9732
005     20210129210506.0
024 7 _ |2 pmid
|a pmid:20496381
024 7 _ |2 DOI
|a 10.1002/hbm.21058
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|a WOS:000278341200008
024 7 _ |a altmetric:1158752
|2 altmetric
037 _ _ |a PreJuSER-9732
041 _ _ |a eng
082 _ _ |a 610
084 _ _ |2 WoS
|a Neurosciences
084 _ _ |2 WoS
|a Neuroimaging
084 _ _ |2 WoS
|a Radiology, Nuclear Medicine & Medical Imaging
100 1 _ |0 P:(DE-Juel1)VDB36136
|a Konrad, K.
|b 0
|u FZJ
245 _ _ |a Is the ADHD Brain Wired Differently? A Review on Structural and Functional Connectivity in Attention Deficit Hyperactivity Disorder
260 _ _ |a New York, NY
|b Wiley-Liss
|c 2010
300 _ _ |a 904 - 916
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |2 DRIVER
|a article
440 _ 0 |0 2398
|a Human Brain Mapping
|v 31
|x 1065-9471
|y 6
500 _ _ |a Contract grant sponsor: German Federal Ministry of Education and Science (for K.K.); Contract grant numbers: BMBF-EDNET-01GV0602, BMBF-ANAC-01GJ0808; Contract grant sponsor: Human Brain Project (for S.B.E.); Contract grant number: NTH R01-MH074457-01A1; Contract grant sponsors: Excellence Initiative of the German federal and state governments (JARA-Seed fund) for K.K.; the Helmholz Initiative on Systems-Biology "The Human Brain Model" for S.B.E.
520 _ _ |a In recent years, a change in perspective in etiological models of attention deficit hyperactivity disorder (ADHD) has occurred in concordance with emerging concepts in other neuropsychiatric disorders such as schizophrenia and autism. These models shift the focus of the assumed pathology from regional brain abnormalities to dysfunction in distributed network organization. In the current contribution, we report findings from functional connectivity studies during resting and task states, as well as from studies on structural connectivity using diffusion tensor imaging, in subjects with ADHD. Although major methodological limitations in analyzing connectivity measures derived from noninvasive in vivo neuroimaging still exist, there is convergent evidence for white matter pathology and disrupted anatomical connectivity in ADHD. In addition, dysfunctional connectivity during rest and during cognitive tasks has been demonstrated. However, the causality between disturbed white matter architecture and cortical dysfunction remains to be evaluated. Both genetic and environmental factors might contribute to disruptions in interactions between different brain regions. Stimulant medication not only modulates regionally specific activation strength but also normalizes dysfunctional connectivity, pointing to a predominant network dysfunction in ADHD. By combining a longitudinal approach with a systems perspective in ADHD in the future, it might be possible to identify at which stage during development disruptions in neural networks emerge and to delineate possible new endophenotypes of ADHD.
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|2 G:(DE-HGF)
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|c FUEK409
|a Funktion und Dysfunktion des Nervensystems (FUEK409)
536 _ _ |0 G:(DE-HGF)POF2-89571
|a 89571 - Connectivity and Activity (POF2-89571)
|c POF2-89571
|f POF II T
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Animals
650 _ 2 |2 MeSH
|a Attention Deficit Disorder with Hyperactivity: genetics
650 _ 2 |2 MeSH
|a Attention Deficit Disorder with Hyperactivity: pathology
650 _ 2 |2 MeSH
|a Attention Deficit Disorder with Hyperactivity: physiopathology
650 _ 2 |2 MeSH
|a Brain: growth & development
650 _ 2 |2 MeSH
|a Brain: pathology
650 _ 2 |2 MeSH
|a Brain: physiopathology
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Neural Pathways: growth & development
650 _ 2 |2 MeSH
|a Neural Pathways: pathology
650 _ 2 |2 MeSH
|a Neural Pathways: physiopathology
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a connectivity
653 2 0 |2 Author
|a ADHD
653 2 0 |2 Author
|a fMRI
653 2 0 |2 Author
|a DTI
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S. B.
|b 1
|u FZJ
773 _ _ |0 PERI:(DE-600)1492703-2
|a 10.1002/hbm.21058
|g Vol. 31, p. 904 - 916
|p 904 - 916
|q 31<904 - 916
|t Human brain mapping
|v 31
|x 1065-9471
|y 2010
856 7 _ |u http://dx.doi.org/10.1002/hbm.21058
909 C O |o oai:juser.fz-juelich.de:9732
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914 1 _ |y 2010
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
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