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Sharing the wealth: Neuroimaging data repositories.

NeuroImage

Eickhoff S, Nichols TE, Van Horn JD, Turner JA.
PMID: 26574120
Neuroimage. 2016 Jan 01;124:1065-1068. doi: 10.1016/j.neuroimage.2015.10.079.

No abstract available.

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Eickhoff S, Nichols TE, Van Horn JD, et al. Sharing the wealth: Neuroimaging data repositories. Neuroimage. 2016;124:1065-1068doi: 10.1016/j.neuroimage.2015.10.079.
Eickhoff, S., Nichols, T. E., Van Horn, J. D., & Turner, J. A. (2016). Sharing the wealth: Neuroimaging data repositories. NeuroImage, 1241065-1068. https://doi.org/10.1016/j.neuroimage.2015.10.079
Eickhoff, Simon, et al. "Sharing the wealth: Neuroimaging data repositories." NeuroImage vol. 124 (2016): 1065-1068. doi: https://doi.org/10.1016/j.neuroimage.2015.10.079
Eickhoff S, Nichols TE, Van Horn JD, Turner JA. Sharing the wealth: Neuroimaging data repositories. Neuroimage. 2016 Jan 01;124:1065-1068. doi: 10.1016/j.neuroimage.2015.10.079. PMID: 26574120; PMCID: PMC5463741.
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Imaging microstructure in the living human brain: A viewpoint.

NeuroImage

Paus T.
PMID: 29024791
Neuroimage. 2018 Nov 15;182:3-7. doi: 10.1016/j.neuroimage.2017.10.013. Epub 2017 Oct 09.

This special issue summarizes an impressive body of work concerned with in vivo imaging of brain microstructure. Collectively, papers included here demonstrate the power of multi-modal magnetic resonance imaging (MRI) for mapping various structural properties of brain tissue. In...

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Paus T. Imaging microstructure in the living human brain: A viewpoint. Neuroimage. 2017;182:3-7doi: 10.1016/j.neuroimage.2017.10.013.
Paus, T. (2018). Imaging microstructure in the living human brain: A viewpoint. NeuroImage, 1823-7. https://doi.org/10.1016/j.neuroimage.2017.10.013
Paus, Tomáš. "Imaging microstructure in the living human brain: A viewpoint." NeuroImage vol. 182 (2018): 3-7. doi: https://doi.org/10.1016/j.neuroimage.2017.10.013
Paus T. Imaging microstructure in the living human brain: A viewpoint. Neuroimage. 2018 Nov 15;182:3-7. doi: 10.1016/j.neuroimage.2017.10.013. Epub 2017 Oct 09. PMID: 29024791.
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Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology.

Developmental cognitive neuroscience

King KM, Littlefield AK, McCabe CJ, Mills KL, Flournoy J, Chassin L.
PMID: 29395939
Dev Cogn Neurosci. 2018 Oct;33:54-72. doi: 10.1016/j.dcn.2017.11.009. Epub 2017 Nov 22.

Hypotheses about change over time are central to informing our understanding of development. Developmental neuroscience is at critical juncture: although the majority of longitudinal imaging studies have observations with two time points, researchers are increasingly obtaining three or more...

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King KM, Littlefield AK, McCabe CJ, et al. Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology. Dev Cogn Neurosci. 2017;33:54-72doi: 10.1016/j.dcn.2017.11.009.
King, K. M., Littlefield, A. K., McCabe, C. J., Mills, K. L., Flournoy, J., & Chassin, L. (2018). Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology. Developmental cognitive neuroscience, 3354-72. https://doi.org/10.1016/j.dcn.2017.11.009
King, Kevin M, et al. "Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology." Developmental cognitive neuroscience vol. 33 (2018): 54-72. doi: https://doi.org/10.1016/j.dcn.2017.11.009
King KM, Littlefield AK, McCabe CJ, Mills KL, Flournoy J, Chassin L. Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology. Dev Cogn Neurosci. 2018 Oct;33:54-72. doi: 10.1016/j.dcn.2017.11.009. Epub 2017 Nov 22. PMID: 29395939; PMCID: PMC6969276.
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[CT scan and MRI applications in the field of neuroimaging].

Revue medicale de Bruxelles

Jissendi Tchofo P.
PMID: 30320980
Rev Med Brux. 2018;39(4):214-219.

Le scanner et l'IRM sont les deux principales techniques d'imagerie diagnostique et de suivi des pathologies neurologiques. Elles sont complémentaires mais se distinguent par leur disponibilité et leur accessibilité, et le caractère irradiant de la première, sans parler de...

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Jissendi Tchofo P. Intérêt du scanner et de l’IRM dans les pathologies neurologiques. [CT scan and MRI applications in the field of neuroimaging]. Rev Med Brux. 2018;39(4):214-219
Jissendi Tchofo, P. (2018). Intérêt du scanner et de l’IRM dans les pathologies neurologiques. [CT scan and MRI applications in the field of neuroimaging]. Revue medicale de Bruxelles, 39(4), 214-219.
Jissendi Tchofo, P. "Intérêt du scanner et de l’IRM dans les pathologies neurologiques." [CT scan and MRI applications in the field of neuroimaging]. Revue medicale de Bruxelles vol. 39,4 (2018): 214-219.
Jissendi Tchofo P. Intérêt du scanner et de l’IRM dans les pathologies neurologiques. [CT scan and MRI applications in the field of neuroimaging]. Rev Med Brux. 2018;39(4):214-219. French. PMID: 30320980.
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A Picture Is Worth a Thousand Words: The Power of Neuroimaging.

ACS chemical neuroscience

Scott PJH.
PMID: 34284585
ACS Chem Neurosci. 2021 Jul 21;12(14):2553-2554. doi: 10.1021/acschemneuro.1c00388.

No abstract available.

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Scott PJH. A Picture Is Worth a Thousand Words: The Power of Neuroimaging. ACS Chem Neurosci. 2021;12(14):2553-2554doi: 10.1021/acschemneuro.1c00388.
Scott, P. J. H. (2021). A Picture Is Worth a Thousand Words: The Power of Neuroimaging. ACS chemical neuroscience, 12(14), 2553-2554. https://doi.org/10.1021/acschemneuro.1c00388
Scott, Peter J H. "A Picture Is Worth a Thousand Words: The Power of Neuroimaging." ACS chemical neuroscience vol. 12,14 (2021): 2553-2554. doi: https://doi.org/10.1021/acschemneuro.1c00388
Scott PJH. A Picture Is Worth a Thousand Words: The Power of Neuroimaging. ACS Chem Neurosci. 2021 Jul 21;12(14):2553-2554. doi: 10.1021/acschemneuro.1c00388. PMID: 34284585.
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Neuroimaging candidate endophenotypes of social anxiety disorder.

EBioMedicine

Yang X, Lui S.
PMID: 34252696
EBioMedicine. 2021 Jul;69:103482. doi: 10.1016/j.ebiom.2021.103482. Epub 2021 Jul 10.

No abstract available.

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Yang X, Lui S. Neuroimaging candidate endophenotypes of social anxiety disorder. EBioMedicine. 2021;69:103482doi: 10.1016/j.ebiom.2021.103482.
Yang, X., & Lui, S. (2021). Neuroimaging candidate endophenotypes of social anxiety disorder. EBioMedicine, 69103482. https://doi.org/10.1016/j.ebiom.2021.103482
Yang, Xiyue, and Lui, Su. "Neuroimaging candidate endophenotypes of social anxiety disorder." EBioMedicine vol. 69 (2021): 103482. doi: https://doi.org/10.1016/j.ebiom.2021.103482
Yang X, Lui S. Neuroimaging candidate endophenotypes of social anxiety disorder. EBioMedicine. 2021 Jul;69:103482. doi: 10.1016/j.ebiom.2021.103482. Epub 2021 Jul 10. PMID: 34252696; PMCID: PMC8324812.
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Automated Brain Perfusion Imaging in Acute Ischemic Stroke: Interpretation Pearls and Pitfalls.

Stroke

Nicolas-Jilwan M, Wintermark M.
PMID: 34565174
Stroke. 2021 Nov;52(11):3728-3738. doi: 10.1161/STROKEAHA.121.035049. Epub 2021 Sep 27.

Recent advancements in computed tomography technology, including improved brain coverage and automated processing of the perfusion data, have reinforced the use of perfusion computed tomography imaging in the routine evaluation of patients with acute ischemic stroke. The DAWN (Diffusion...

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Nicolas-Jilwan M, Wintermark M. Automated Brain Perfusion Imaging in Acute Ischemic Stroke: Interpretation Pearls and Pitfalls. Stroke. 2021;52(11):3728-3738doi: 10.1161/STROKEAHA.121.035049.
Nicolas-Jilwan, M., & Wintermark, M. (2021). Automated Brain Perfusion Imaging in Acute Ischemic Stroke: Interpretation Pearls and Pitfalls. Stroke, 52(11), 3728-3738. https://doi.org/10.1161/STROKEAHA.121.035049
Nicolas-Jilwan, Manal, and Wintermark, Max. "Automated Brain Perfusion Imaging in Acute Ischemic Stroke: Interpretation Pearls and Pitfalls." Stroke vol. 52,11 (2021): 3728-3738. doi: https://doi.org/10.1161/STROKEAHA.121.035049
Nicolas-Jilwan M, Wintermark M. Automated Brain Perfusion Imaging in Acute Ischemic Stroke: Interpretation Pearls and Pitfalls. Stroke. 2021 Nov;52(11):3728-3738. doi: 10.1161/STROKEAHA.121.035049. Epub 2021 Sep 27. PMID: 34565174.
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Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review.

Medical education online

Toy S, Huh DD, Materi J, Nanavati J, Schwengel DA.
PMID: 35012424
Med Educ Online. 2022 Dec;27(1):2016357. doi: 10.1080/10872981.2021.2016357.

PURPOSE: To map the current literature on functional neuroimaging use in medical education research as a novel measurement modality for neurocognitive engagement, learning, and expertise development.METHOD: We searched PubMed, Embase, Cochrane, ERIC, and Web of Science, and hand-searched reference...

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Toy S, Huh DD, Materi J, et al. Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review. Med Educ Online. 2022;27(1):2016357doi: 10.1080/10872981.2021.2016357.
Toy, S., Huh, D. D., Materi, J., Nanavati, J., & Schwengel, D. A. (2022). Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review. Medical education online, 27(1), 2016357. https://doi.org/10.1080/10872981.2021.2016357
Toy, Serkan, et al. "Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review." Medical education online vol. 27,1 (2022): 2016357. doi: https://doi.org/10.1080/10872981.2021.2016357
Toy S, Huh DD, Materi J, Nanavati J, Schwengel DA. Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review. Med Educ Online. 2022 Dec;27(1):2016357. doi: 10.1080/10872981.2021.2016357. PMID: 35012424.
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Showing 193 to 200 of 200 entries