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  Quantity and quality: Normative open-access neuroimaging databases

Isherwood, S. J. S., Bazin, P.-L., Alkemade, A., & Forstmann, B. U. (2021). Quantity and quality: Normative open-access neuroimaging databases. PLoS One, 16(3): e0248341. doi:10.1371/journal.pone.0248341.

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 Creators:
Isherwood, Scott Jie Shen1, Author
Bazin, Pierre-Louis1, 2, Author              
Alkemade, Anneke1, Author
Forstmann, Birte Uta1, Author
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1Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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 Abstract: The focus of this article is to compare twenty normative and open-access neuroimaging databases based on quantitative measures of image quality, namely, signal-to-noise (SNR) and contrast-to-noise ratios (CNR). We further the analysis through discussing to what extent these databases can be used for the visualization of deeper regions of the brain, such as the subcortex, as well as provide an overview of the types of inferences that can be drawn. A quantitative comparison of contrasts including T1-weighted (T1w) and T2-weighted (T2w) images are summarized, providing evidence for the benefit of ultra-high field MRI. Our analysis suggests a decline in SNR in the caudate nuclei with increasing age, in T1w, T2w, qT1 and qT2* contrasts, potentially indicative of complex structural age-dependent changes. A similar decline was found in the corpus callosum of the T1w, qT1 and qT2* contrasts, though this relationship is not as extensive as within the caudate nuclei. These declines were accompanied by a declining CNR over age in all image contrasts. A positive correlation was found between scan time and the estimated SNR as well as a negative correlation between scan time and spatial resolution. Image quality as well as the number and types of contrasts acquired by these databases are important factors to take into account when selecting structural data for reuse. This article highlights the opportunities and pitfalls associated with sampling existing databases, and provides a quantitative backing for their usage.

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Language(s): eng - English
 Dates: 2021-03-11
 Publication Status: Published online
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1371/journal.pone.0248341
Other: eCollection 2021
PMID: 33705468
PMC: PMC7951909
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 16 (3) Sequence Number: e0248341 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850