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100 | 1 | _ | |a Weiss Lucas, Carolin |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
245 | _ | _ | |a Functional MRI vs. navigated TMS to optimize M1 seed volume delineation for DTI tractography. A prospective study in patients with brain tumours adjacent to the corticospinal tract |
260 | _ | _ | |a [Amsterdam u.a.] |c 2017 |b Elsevier |
336 | 7 | _ | |a article |2 DRIVER |
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336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1483618641_4020 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a DTI-based tractography is an increasingly important tool for planning brain surgery in patients suffering from brain tumours. However, there is an ongoing debate which tracking approaches yield the most valid results. Especially the use of functional localizer data such as navigated transcranial magnetic stimulation (nTMS) or functional magnetic resonance imaging (fMRI) seem to improve fibre tracking data in conditions where anatomical landmarks are less informative due to tumour-induced distortions of the gyral anatomy. We here compared which of the two localizer techniques yields more plausible results with respect to mapping different functional portions of the corticospinal tract (CST) in brain tumour patients. |
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700 | 1 | _ | |a Tursunova, Irada |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Neuschmelting, Volker |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Nettekoven, Charlotte |0 P:(DE-Juel1)165785 |b 3 |
700 | 1 | _ | |a Oros-Peusquens, Ana-Maria |0 P:(DE-Juel1)131782 |b 4 |
700 | 1 | _ | |a Stoffels, Gabriele |0 P:(DE-Juel1)131627 |b 5 |
700 | 1 | _ | |a Faymonville, Andrea Maria |0 P:(DE-HGF)0 |b 6 |
700 | 1 | _ | |a Shah, N. J. |0 P:(DE-Juel1)131794 |b 7 |
700 | 1 | _ | |a Langen, Karl Josef |0 P:(DE-Juel1)131777 |b 8 |
700 | 1 | _ | |a Lockau, Hannah |0 P:(DE-HGF)0 |b 9 |
700 | 1 | _ | |a Goldbrunner, Roland |0 P:(DE-HGF)0 |b 10 |
700 | 1 | _ | |a Grefkes, Christian |0 P:(DE-Juel1)161406 |b 11 |
773 | _ | _ | |a 10.1016/j.nicl.2016.11.022 |g Vol. 13, p. 297 - 309 |0 PERI:(DE-600)2701571-3 |p 297 - 309 |t NeuroImage: Clinical |v 13 |y 2017 |x 2213-1582 |
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