Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roan A LaPlante"'
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e113838 (2014)
In analysis of the human connectome, the connectivity of the human brain is collected from multiple imaging modalities and analyzed using graph theoretical techniques. The dimensionality of human connectivity data is high, and making sense of the com
Externí odkaz:
https://doaj.org/article/6850f0fd437a478c8d191d87114dde1f
Autor:
Matti Hämäläinen, Stephanie R. Jones, Adrian K. C. Lee, Catherine E. Kerr, Christopher I. Moore, Dominique L. Pritchett, Matthew D. Sacchet, Qian Wan, Roan A. LaPlante
Publikováno v:
The Journal of Neuroscience. 35:2074-2082
The right inferior frontal cortex (rIFC) is specifically associated with attentional control via the inhibition of behaviorally irrelevant stimuli and motor responses. Similarly, recent evidence has shown that alpha (7–14 Hz) and beta (15–29 Hz)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3977294400c4f9c24f3eac2a28b3d5
https://doi.org/10.1523/jneurosci.1292-14.2015
https://doi.org/10.1523/jneurosci.1292-14.2015
Autor:
Deborah I. Vallejo, Darin D. Dougherty, Wei Tang, Alik S. Widge, Noam Peled, Steven M. Stufflebeam, Sydney S. Cash, Mia Borzello, Emad N. Eskandar, Roan A. LaPlante
Publikováno v:
International journal of computer assisted radiology and surgery. 12(10)
Existing methods for sorting, labeling, registering, and across-subject localization of electrodes in intracranial encephalography (iEEG) may involve laborious work requiring manual inspection of radiological images. We describe a new open-source sof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8815ac190d261a37d103dd2290bb0bb
https://pubmed.ncbi.nlm.nih.gov/27915398
https://pubmed.ncbi.nlm.nih.gov/27915398
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e113838 (2014)
LaPlante, R A, Douw, L, Tang, W & Stufflebeam, S M 2014, ' The Connectome Visualization Utility: Software for Visualization of Human Brain Networks ', PLoS ONE, vol. 9, no. 12, e113838, pp. e113838 . https://doi.org/10.1371/journal.pone.0113838
PLoS ONE, 9(12):e113838. Public Library of Science
Public Library of Science
PLoS ONE
LaPlante, R A, Douw, L, Tang, W & Stufflebeam, S M 2014, ' The Connectome Visualization Utility: Software for Visualization of Human Brain Networks ', PLoS ONE, vol. 9, no. 12, e113838, pp. e113838 . https://doi.org/10.1371/journal.pone.0113838
PLoS ONE, 9(12):e113838. Public Library of Science
Public Library of Science
PLoS ONE
In analysis of the human connectome, the connectivity of the human brain is collected from multiple imaging modalities and analyzed using graph theoretical techniques. The dimensionality of human connectivity data is high, and making sense of the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f735a849f92da1790fb0660eb52c8fa0
https://doaj.org/article/6850f0fd437a478c8d191d87114dde1f
https://doaj.org/article/6850f0fd437a478c8d191d87114dde1f
Autor:
LaPlante, Roan, Tang, Wei, Peled, Noam, Vallejo, Deborah, Borzello, Mia, Dougherty, Darin, Eskandar, Emad, Widge, Alik, Cash, Sydney, Stufflebeam, Steven
Publikováno v:
International Journal of Computer Assisted Radiology & Surgery; Oct2017, Vol. 12 Issue 10, p1829-1837, 9p
Autor:
Sacchet, Matthew D., LaPlante, Roan A., Qian Wan, Pritchet, Dominique L., Lee, Adrian K. C., Hämäläinen, Matti, Moore, Christopher I., Kerr, Catherine E., Jones, Stephanie R.
Publikováno v:
Journal of Neuroscience; 2/4/2015, Vol. 35 Issue 5, p2074-2082, 9p