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PubMed Publications| Keyword search (4,163 papers available) |  |
"Bazin PL" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Pontine Functional Connectivity Gradients | Rousseau PN; Bazin PL; Steele CJ; | 41420671 SOH |
| 2 | Assessing quantitative MRI techniques using multimodal comparisons | Carter F; Anwander A; Johnson M; Goucha T; Adamson H; Friederici AD; Lutti A; Gauthier CJ; Weiskopf N; Bazin PL; Steele CJ; | 40705745 SOH |
| 3 | Multiscale gradients of corticopontine structural connectivity | Rousseau PN; Bazin PL; Steele CJ; | 40355513 SOH |
| 4 | Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training | Jäger AP; Bailey A; Huntenburg JM; Tardif CL; Villringer A; Gauthier CJ; Nikulin V; Bazin PL; Steele CJ; | 38124341 SOH |
| 5 | Modeling venous bias in resting state functional MRI metrics | Huck J; Jäger AT; Schneider U; Grahl S; Fan AP; Tardif C; Villringer A; Bazin PL; Steele CJ; Gauthier CJ; | 37498014 PERFORM |
| 6 | Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study | Jäger AP; Huntenburg JM; Tremblay SA; Schneider U; Grahl S; Huck J; Tardif CL; Villringer A; Gauthier CJ; Bazin PL; Steele CJ; | 34704176 PERFORM |
| 7 | White matter microstructural changes in short-term learning of a continuous visuomotor sequence | Tremblay SA; Jäger AT; Huck J; Giacosa C; Beram S; Schneider U; Grahl S; Villringer A; Tardif CL; Bazin PL; Steele CJ; Gauthier CJ; | 33885965 PERFORM |
| 8 | High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps. | Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ | 31278570 PSYCHOLOGY |
| 9 | Nighres: processing tools for high-resolution neuroimaging | Huntenburg JM; Steele CJ; Bazin PL; | 29982501 PSYCHOLOGY |
| 10 | Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity. | Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A | 26318050 PERFORM |
| 11 | Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. | Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ | 28159689 PERFORM |
| Title: | Nighres: processing tools for high-resolution neuroimaging | ||||
| Authors: | Huntenburg JM, Steele CJ, Bazin PL | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/29982501/ | ||||
| DOI: | 10.1093/gigascience/giy082 | ||||
| Publication: | GigaScience | ||||
| Keywords: | |||||
| PMID: | 29982501 | Category: | Gigascience | Date Added: | 2019-06-20 |
| Dept Affiliation: |
PSYCHOLOGY
1 Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, Leipzig, 04103, Germany. 2 Neurocomputation and Neuroimaging Unit, Department of Education and Psychology, Free University of Berlin, Habelschwerdter Allee 45, Berlin, 14195, Germany. 3 Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, Leipzig, 04103, Germany. 4 Cerebral Imaging Center, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Montreal, Quebec, H4H 1R3, Canada. 5 Department of Psychology, Concordia University, 7141 Sherbrooke West, Montreal, Quebec, H4B IR6, Canada. 6 Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1a, Leipzig, 04103, Germany. 7 Psychology Department, University of Amsterdam, Nieuwe Achtergracht 129B, Amsterdam, 1018 WT, Netherlands. |
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Description: |
With recent improvements in human magnetic resonance imaging (MRI) at ultra-high fields, the amount of data collected per subject in a given MRI experiment has increased considerably. Standard image processing packages are often challenged by the size of these data. Dedicated methods are needed to leverage their extraordinary spatial resolution. Here, we introduce a flexible Python toolbox that implements a set of advanced techniques for high-resolution neuroimaging. With these tools, segmentation and laminar analysis of cortical MRI data can be performed at resolutions up to 500 µm in reasonable times. Comprehensive online documentation makes the toolbox easy to use and install. An extensive developer's guide encourages contributions from other researchers that will help to accelerate progress in the promising field of high-resolution neuroimaging. |
