| Keyword search (4,164 papers available) | ![]() |
"Steele CJ" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions | Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; | 41916976 PSYCHOLOGY |
| 2 | Pontine Functional Connectivity Gradients | Rousseau PN; Bazin PL; Steele CJ; | 41420671 SOH |
| 3 | BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy | Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F; | 40927858 SOH |
| 4 | Multivariate white matter microstructure alterations in older adults with coronary artery disease | Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; Steele CJ; Iglesies-Grau J; Nigam A; Bherer L; Gauthier CJ; | 40829939 SOH |
| 5 | 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 |
| 6 | Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions | Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; | 40585093 PSYCHOLOGY |
| 7 | Multiscale gradients of corticopontine structural connectivity | Rousseau PN; Bazin PL; Steele CJ; | 40355513 SOH |
| 8 | Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer s disease | Tremblay SA; Nathan Spreng R; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; | 40086421 PSYCHOLOGY |
| 9 | Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks | Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ; | 39791308 SOH |
| 10 | Alzheimer's Imaging Consortium | Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; | 39782998 CONCORDIA |
| 11 | Biomarkers | Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; | 39785351 CONCORDIA |
| 12 | MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across metrics | Tremblay SA; Alasmar Z; Pirhadi A; Carbonell F; Iturria-Medina Y; Gauthier CJ; Steele CJ; | 38463982 SOH |
| 13 | 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 |
| 14 | The impact of lesion side on bilateral upper limb coordination after stroke | Shih PC; Steele CJ; Hoepfel D; Muffel T; Villringer A; Sehm B; | 38093308 PSYCHOLOGY |
| 15 | 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 |
| 16 | Using cortico-cerebellar structural patterns to classify early- and late-trained musicians | Shenker JJ; Steele CJ; Zatorre RJ; Penhune VB; | 37326147 PSYCHOLOGY |
| 17 | Visuo-motor transformations in the intraparietal sulcus mediate the acquisition of endovascular medical skill | Paul KI; Mueller K; Rousseau PN; Glathe A; Taatgen NA; Cnossen F; Lanzer P; Villringer A; Steele CJ; | 36529202 PSYCHOLOGY |
| 18 | Mapping pontocerebellar connectivity with diffusion MRI | Rousseau PN; Chakravarty MM; Steele CJ; | 36252913 PERFORM |
| 19 | Mental rotation ability predicts the acquisition of basic endovascular skills | Paul KI; Glathe A; Taatgen NA; Steele CJ; Villringer A; Lanzer P; Cnossen F; | 34789742 PSYCHOLOGY |
| 20 | 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 |
| 21 | Early musical training shapes cortico-cerebellar structural covariation | Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; | 34657166 PSYCHOLOGY |
| 22 | Sex moderations in the relationship between aortic stiffness, cognition, and cerebrovascular reactivity in healthy older adults | Sabra D; Intzandt B; Desjardins-Crepeau L; Langeard A; Steele CJ; Frouin F; Hoge RD; Bherer L; Gauthier CJ; | 34582484 PERFORM |
| 23 | Alpha and beta neural oscillations differentially reflect age-related differences in bilateral coordination | Shih PC; Steele CJ; Nikulin VV; Gundlach C; Kruse J; Villringer A; Sehm B; | 33979705 PSYCHOLOGY |
| 24 | 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 |
| 25 | Modulation of premotor cortex response to sequence motor learning during escitalopram intake. | Molloy EN; Mueller K; Beinhölzl N; Blöchl M; Piecha FA; Pampel A; Steele CJ; Scharrer U; Zheleva G; Regenthal R; Sehm B; Nikulin VV; Möller HE; Villringer A; Sacher J; | 33148103 PSYCHOLOGY |
| 26 | Improving Safety of MRI in Patients with Deep Brain Stimulation Devices. | Boutet A, Chow CT, Narang K, Elias GJB, Neudorfer C, Germann J, Ranjan M, Loh A, Martin AJ, Kucharczyk W, Steele CJ, Hancu I, Rezai AR, Lozano AM | 32573388 PSYCHOLOGY |
| 27 | Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. | Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM | 31715254 PSYCHOLOGY |
| 28 | 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 |
| 29 | Higher cardiovascular fitness level is associated with lower cerebrovascular reactivity and perfusion in healthy older adults. | Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ | 31342831 PERFORM |
| 30 | Nighres: processing tools for high-resolution neuroimaging | Huntenburg JM; Steele CJ; Bazin PL; | 29982501 PSYCHOLOGY |
| 31 | Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning | Penhune VB; Steele CJ; | 22004979 PSYCHOLOGY |
| 32 | 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 |
| 33 | Practice makes plasticity. | Steele CJ, Zatorre RJ | 30482944 PSYCHOLOGY |
| 34 | Kinematic profiles suggest differential control processes involved in bilateral in-phase and anti-phase movements. | Shih PC, Steele CJ, Nikulin V, Villringer A, Sehm B | 30824858 PSYCHOLOGY |
| 35 | Neuroimaging Technological Advancements for Targeting in Functional Neurosurgery. | Boutet A, Gramer R, Steele CJ, Elias GJB, Germann J, Maciel R, Kucharczyk W, Zrinzo L, Lozano AM, Fasano A | 31144155 PSYCHOLOGY |
| 36 | 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. |
||||
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. |



