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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Scientific data

Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA.
PMID: 27326542
Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44.

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain....

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Gorgolewski KJ, Auer T, Calhoun VD, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016;3:160044doi: 10.1038/sdata.2016.44.
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Michael, Z., Maumet, C., Nichols, B. N., Nichols, T. E., Pellman, J., Poline, J. B., Rokem, A., Schaefer, G., Sochat, V., Triplett, W., Turner, J. A., Varoquaux, G., & Poldrack, R. A. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data, 3160044. https://doi.org/10.1038/sdata.2016.44
Gorgolewski, Krzysztof J, et al. "The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments." Scientific data vol. 3 (2016): 160044. doi: https://doi.org/10.1038/sdata.2016.44
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44. PMID: 27326542; PMCID: PMC4978148.
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[45th Congress of the French society of neuroradiology].

Journal of neuroradiology = Journal de neuroradiologie

Ferré JC, Gauvrit JY.
PMID: 29519550
J Neuroradiol. 2018 Mar;45(2):69. doi: 10.1016/j.neurad.2018.02.001.

No abstract available.

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Ferré JC, Gauvrit JY. 45 [45th Congress of the French society of neuroradiology]. J Neuroradiol. 2018;45(2):69doi: 10.1016/j.neurad.2018.02.001.
Ferré, J. C., & Gauvrit, J. Y. (2018). 45 [45th Congress of the French society of neuroradiology]. Journal of neuroradiology = Journal de neuroradiologie, 45(2), 69. https://doi.org/10.1016/j.neurad.2018.02.001
Ferré, J-C, and Gauvrit, J-Y. "45" [45th Congress of the French society of neuroradiology]. Journal of neuroradiology = Journal de neuroradiologie vol. 45,2 (2018): 69. doi: https://doi.org/10.1016/j.neurad.2018.02.001
Ferré JC, Gauvrit JY. 45 [45th Congress of the French society of neuroradiology]. J Neuroradiol. 2018 Mar;45(2):69. doi: 10.1016/j.neurad.2018.02.001. French. PMID: 29519550.
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Spontaneous Intracranial Hypotension.

Continuum (Minneapolis, Minn.)

Mokri B.
PMID: 26252593
Continuum (Minneap Minn). 2015 Aug;21(4):1086-108. doi: 10.1212/CON.0000000000000193.

PURPOSE OF REVIEW: Spontaneous intracranial hypotension results from CSF volume depletion, nearly always from spontaneous CSF leaks. Spontaneous intracranial hypotension is increasingly diagnosed in practice; the number of atypical, unconfirmed, and doubtful cases is also increasing, as are treatment...

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Mokri B. Spontaneous Intracranial Hypotension. Continuum (Minneap Minn). 2015;21(4):1086-108doi: 10.1212/CON.0000000000000193.
Mokri, B. (2015). Spontaneous Intracranial Hypotension. Continuum (Minneapolis, Minn.), 21(4), 1086-108. https://doi.org/10.1212/CON.0000000000000193
Mokri, Bahram. "Spontaneous Intracranial Hypotension." Continuum (Minneapolis, Minn.) vol. 21,4 (2015): 1086-108. doi: https://doi.org/10.1212/CON.0000000000000193
Mokri B. Spontaneous Intracranial Hypotension. Continuum (Minneap Minn). 2015 Aug;21(4):1086-108. doi: 10.1212/CON.0000000000000193. PMID: 26252593.
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Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI.

NeuroImage

Tax CMW, Dela Haije T, Fuster A, Westin CF, Viergever MA, Florack L, Leemans A.
PMID: 27456538
Neuroimage. 2016 Nov 15;142:260-279. doi: 10.1016/j.neuroimage.2016.07.042. Epub 2016 Jul 25.

The question whether our brain pathways adhere to a geometric grid structure has been a popular topic of debate in the diffusion imaging and neuroscience societies. Wedeen et al. (2012a, b) proposed that the brain's white matter is organized...

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Tax CMW, Dela Haije T, Fuster A, et al. Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI. Neuroimage. 2016;142:260-279doi: 10.1016/j.neuroimage.2016.07.042.
Tax, C. M. W., Dela Haije, T., Fuster, A., Westin, C. F., Viergever, M. A., Florack, L., & Leemans, A. (2016). Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI. NeuroImage, 142260-279. https://doi.org/10.1016/j.neuroimage.2016.07.042
Tax, Chantal M W, et al. "Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI." NeuroImage vol. 142 (2016): 260-279. doi: https://doi.org/10.1016/j.neuroimage.2016.07.042
Tax CMW, Dela Haije T, Fuster A, Westin CF, Viergever MA, Florack L, Leemans A. Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI. Neuroimage. 2016 Nov 15;142:260-279. doi: 10.1016/j.neuroimage.2016.07.042. Epub 2016 Jul 25. PMID: 27456538; PMCID: PMC5400114.
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Neuroimaging of epilepsy.

Handbook of clinical neurology

Cendes F, Theodore WH, Brinkmann BH, Sulc V, Cascino GD.
PMID: 27430454
Handb Clin Neurol. 2016;136:985-1014. doi: 10.1016/B978-0-444-53486-6.00051-X.

Imaging is pivotal in the evaluation and management of patients with seizure disorders. Elegant structural neuroimaging with magnetic resonance imaging (MRI) may assist in determining the etiology of focal epilepsy and demonstrating the anatomical changes associated with seizure activity....

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Cendes F, Theodore WH, Brinkmann BH, et al. Neuroimaging of epilepsy. Handb Clin Neurol. 2016;136:985-1014doi: 10.1016/B978-0-444-53486-6.00051-X.
Cendes, F., Theodore, W. H., Brinkmann, B. H., Sulc, V., & Cascino, G. D. (2016). Neuroimaging of epilepsy. Handbook of clinical neurology, 136985-1014. https://doi.org/10.1016/B978-0-444-53486-6.00051-X
Cendes, Fernando, et al. "Neuroimaging of epilepsy." Handbook of clinical neurology vol. 136 (2016): 985-1014. doi: https://doi.org/10.1016/B978-0-444-53486-6.00051-X
Cendes F, Theodore WH, Brinkmann BH, Sulc V, Cascino GD. Neuroimaging of epilepsy. Handb Clin Neurol. 2016;136:985-1014. doi: 10.1016/B978-0-444-53486-6.00051-X. PMID: 27430454; PMCID: PMC5256664.
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Unusual Neuroimaging Findings in Two Families with Giant Axonal Neuropathy.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques

Jain P, Sharma S, Kamate M, Hattiholi V, Patra B, Mahadevan A, Aneja S.
PMID: 26693541
Can J Neurol Sci. 2014 Nov;41(6):777-9. doi: 10.1017/cjn.2014.102.

No abstract available.

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Jain P, Sharma S, Kamate M, et al. Unusual Neuroimaging Findings in Two Families with Giant Axonal Neuropathy. Can J Neurol Sci. 2014;41(6):777-9doi: 10.1017/cjn.2014.102.
Jain, P., Sharma, S., Kamate, M., Hattiholi, V., Patra, B., Mahadevan, A., & Aneja, S. (2014). Unusual Neuroimaging Findings in Two Families with Giant Axonal Neuropathy. The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques, 41(6), 777-9. https://doi.org/10.1017/cjn.2014.102
Jain, Puneet, et al. "Unusual Neuroimaging Findings in Two Families with Giant Axonal Neuropathy." The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques vol. 41,6 (2014): 777-9. doi: https://doi.org/10.1017/cjn.2014.102
Jain P, Sharma S, Kamate M, Hattiholi V, Patra B, Mahadevan A, Aneja S. Unusual Neuroimaging Findings in Two Families with Giant Axonal Neuropathy. Can J Neurol Sci. 2014 Nov;41(6):777-9. doi: 10.1017/cjn.2014.102. PMID: 26693541.
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Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition.

PloS one

Schilbach L, Bzdok D, Timmermans B, Fox PT, Laird AR, Vogeley K, Eickhoff SB.
PMID: 22319593
PLoS One. 2012;7(2):e30920. doi: 10.1371/journal.pone.0030920. Epub 2012 Feb 03.

Previous research suggests overlap between brain regions that show task-induced deactivations and those activated during the performance of social-cognitive tasks. Here, we present results of quantitative meta-analyses of neuroimaging studies, which confirm a statistical convergence in the neural correlates...

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Schilbach L, Bzdok D, Timmermans B, et al. Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition. PLoS One. 2012;7(2):e30920doi: 10.1371/journal.pone.0030920.
Schilbach, L., Bzdok, D., Timmermans, B., Fox, P. T., Laird, A. R., Vogeley, K., & Eickhoff, S. B. (2012). Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition. PloS one, 7(2), e30920. https://doi.org/10.1371/journal.pone.0030920
Schilbach, Leonhard, et al. "Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition." PloS one vol. 7,2 (2012): e30920. doi: https://doi.org/10.1371/journal.pone.0030920
Schilbach L, Bzdok D, Timmermans B, Fox PT, Laird AR, Vogeley K, Eickhoff SB. Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition. PLoS One. 2012;7(2):e30920. doi: 10.1371/journal.pone.0030920. Epub 2012 Feb 03. PMID: 22319593; PMCID: PMC3272038.
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Teaching neuroimages: Resolution of MRI abnormalities in megalencephalic leukoencephalopathy with subcortical cysts.

Neurology

Otallah S, Matsumoto JA, Goodkin HP.
PMID: 24821940
Neurology. 2014 May 13;82(19):e167. doi: 10.1212/WNL.0000000000000409.

No abstract available.

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Otallah S, Matsumoto JA, Goodkin HP. Teaching neuroimages: Resolution of MRI abnormalities in megalencephalic leukoencephalopathy with subcortical cysts. Neurology. 2014;82(19):e167doi: 10.1212/WNL.0000000000000409.
Otallah, S., Matsumoto, J. A., & Goodkin, H. P. (2014). Teaching neuroimages: Resolution of MRI abnormalities in megalencephalic leukoencephalopathy with subcortical cysts. Neurology, 82(19), e167. https://doi.org/10.1212/WNL.0000000000000409
Otallah, Scott, et al. "Teaching neuroimages: Resolution of MRI abnormalities in megalencephalic leukoencephalopathy with subcortical cysts." Neurology vol. 82,19 (2014): e167. doi: https://doi.org/10.1212/WNL.0000000000000409
Otallah S, Matsumoto JA, Goodkin HP. Teaching neuroimages: Resolution of MRI abnormalities in megalencephalic leukoencephalopathy with subcortical cysts. Neurology. 2014 May 13;82(19):e167. doi: 10.1212/WNL.0000000000000409. PMID: 24821940; PMCID: PMC4032203.
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[Rhombencephalosynapsis, a rare congenital abnormality easy to diagnose].

Anales de pediatria (Barcelona, Spain : 2003)

Agut T, Muchart J, Delgadillo V, García-Alix A.
PMID: 24560496
An Pediatr (Barc). 2014 Dec;81(6):e3-4. doi: 10.1016/j.anpedi.2013.12.017. Epub 2014 Feb 20.

No abstract available.

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Agut T, Muchart J, Delgadillo V, et al. Rombencefalosinapsis, una rara alteración del desarrollo del cerebelo de fácil diagnóstico. [Rhombencephalosynapsis, a rare congenital abnormality easy to diagnose]. An Pediatr (Barc). 2014;81(6):e3-4doi: 10.1016/j.anpedi.2013.12.017.
Agut, T., Muchart, J., Delgadillo, V., & García-Alix, A. (2014). Rombencefalosinapsis, una rara alteración del desarrollo del cerebelo de fácil diagnóstico. [Rhombencephalosynapsis, a rare congenital abnormality easy to diagnose]. Anales de pediatria (Barcelona, Spain : 2003), 81(6), e3-4. https://doi.org/10.1016/j.anpedi.2013.12.017
Agut, T, et al. "Rombencefalosinapsis, una rara alteración del desarrollo del cerebelo de fácil diagnóstico." [Rhombencephalosynapsis, a rare congenital abnormality easy to diagnose]. Anales de pediatria (Barcelona, Spain : 2003) vol. 81,6 (2014): e3-4. doi: https://doi.org/10.1016/j.anpedi.2013.12.017
Agut T, Muchart J, Delgadillo V, García-Alix A. Rombencefalosinapsis, una rara alteración del desarrollo del cerebelo de fácil diagnóstico. [Rhombencephalosynapsis, a rare congenital abnormality easy to diagnose]. An Pediatr (Barc). 2014 Dec;81(6):e3-4. doi: 10.1016/j.anpedi.2013.12.017. Epub 2014 Feb 20. Spanish. PMID: 24560496.
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Dementia and neuroimaging.

Journal of neurology

Agosta F, Caso F, Filippi M.
PMID: 23241895
J Neurol. 2013 Feb;260(2):685-91. doi: 10.1007/s00415-012-6778-x. Epub 2012 Dec 15.

Early diagnosis of dementing conditions and an accurate monitoring of their progression are important clinical and research goals, especially given the improving prospects of disease-modifying therapies. Neuroimaging has played and is playing an important role in detecting reversible, treatable...

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Agosta F, Caso F, Filippi M. Dementia and neuroimaging. J Neurol. 2012;260(2):685-91doi: 10.1007/s00415-012-6778-x.
Agosta, F., Caso, F., & Filippi, M. (2013). Dementia and neuroimaging. Journal of neurology, 260(2), 685-91. https://doi.org/10.1007/s00415-012-6778-x
Agosta, Federica, et al. "Dementia and neuroimaging." Journal of neurology vol. 260,2 (2013): 685-91. doi: https://doi.org/10.1007/s00415-012-6778-x
Agosta F, Caso F, Filippi M. Dementia and neuroimaging. J Neurol. 2013 Feb;260(2):685-91. doi: 10.1007/s00415-012-6778-x. Epub 2012 Dec 15. PMID: 23241895.
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Neuroimaging in Lewy body dementia.

Journal of neurology

Yousaf T, Dervenoulas G, Valkimadi PE, Politis M.
PMID: 29761296
J Neurol. 2019 Jan;266(1):1-26. doi: 10.1007/s00415-018-8892-x. Epub 2018 May 14.

Lewy body dementia (DLB) is a common form of cognitive impairment, accounting for 30% of dementia cases in ages over 65 years. Early diagnosis of DLB has been challenging; particularly in the context of differentiation with Parkinson's disease dementia...

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Yousaf T, Dervenoulas G, Valkimadi PE, et al. Neuroimaging in Lewy body dementia. J Neurol. 2018;266(1):1-26doi: 10.1007/s00415-018-8892-x.
Yousaf, T., Dervenoulas, G., Valkimadi, P. E., & Politis, M. (2019). Neuroimaging in Lewy body dementia. Journal of neurology, 266(1), 1-26. https://doi.org/10.1007/s00415-018-8892-x
Yousaf, Tayyabah, et al. "Neuroimaging in Lewy body dementia." Journal of neurology vol. 266,1 (2019): 1-26. doi: https://doi.org/10.1007/s00415-018-8892-x
Yousaf T, Dervenoulas G, Valkimadi PE, Politis M. Neuroimaging in Lewy body dementia. J Neurol. 2019 Jan;266(1):1-26. doi: 10.1007/s00415-018-8892-x. Epub 2018 May 14. PMID: 29761296; PMCID: PMC6342883.
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Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning.

Biological psychiatry. Cognitive neuroscience and neuroimaging

Janssen RJ, Mourão-Miranda J, Schnack HG.
PMID: 29789268
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Sep;3(9):798-808. doi: 10.1016/j.bpsc.2018.04.004. Epub 2018 Apr 22.

Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the future, as opposed to making a diagnosis, which is concerned with the current state. During the follow-up period, many factors will influence the course of...

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Janssen RJ, Mourão-Miranda J, Schnack HG. Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(9):798-808doi: 10.1016/j.bpsc.2018.04.004.
Janssen, R. J., Mourão-Miranda, J., & Schnack, H. G. (2018). Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning. Biological psychiatry. Cognitive neuroscience and neuroimaging, 3(9), 798-808. https://doi.org/10.1016/j.bpsc.2018.04.004
Janssen, Ronald J, et al. "Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning." Biological psychiatry. Cognitive neuroscience and neuroimaging vol. 3,9 (2018): 798-808. doi: https://doi.org/10.1016/j.bpsc.2018.04.004
Janssen RJ, Mourão-Miranda J, Schnack HG. Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Sep;3(9):798-808. doi: 10.1016/j.bpsc.2018.04.004. Epub 2018 Apr 22. PMID: 29789268.
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Showing 1 to 12 of 200 entries