Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/64371
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dc.contributor.authorBerger, Lilaen
dc.contributor.authorBurles, Forden
dc.contributor.authorJaswal, Tejdeepen
dc.contributor.authorWilliams, Rebeccaen
dc.contributor.authorIaria, Giuseppeen
dc.date.accessioned2025-01-07T22:59:19Z-
dc.date.available2025-01-07T22:59:19Z-
dc.date.issued2024-
dc.identifier.citationAerospace Medicine and Human Performance, 95(5), p. 245-253en
dc.identifier.issn2375-6322en
dc.identifier.issn2375-6314en
dc.identifier.urihttps://hdl.handle.net/1959.11/64371-
dc.description.abstract<p><b>INTRODUCTION:</b> The rapid development of the space industry requires a deeper understanding of spaceflight's impact on the brain. MRI research reports brain volume changes following spaceflight in astronauts, potentially affecting cognition. Recently, we have demonstrated that this evidence of volumetric changes, as measured by typical T1-weighted sequences (e.g., magnetization-prepared rapid gradient echo sequence; MPRAGE), is error-prone due to the microgravity-related redistribution of cerebrospinal fluid in the brain. More modern neuroimaging methods, particularly dual-echo MPRAGE (DEMPRAGE) and magnetization-prepared rapid gradient echo sequence utilizing two inversion pulses (MP2RAGE), have been suggested to be resilient to this error. Here, we tested if these imaging modalities offered consistent segmentation performance improvements in some commonly employed neuroimaging software packages.</p><p><b>METHODS</b>: We conducted manual gray matter tissue segmentation in traditional T1w MRI images to utilize for comparison. Automated tissue segmentation was performed for traditional T1w imaging, as well as on DEMPRAGE and MP2RAGE images from the same subjects. Statistical analysis involved a comparison of total gray matter volumes for each modality, and the extent of tissue segmentation agreement was assessed using a test of similarity (Dice coefficient).</p><p><b>RESULTS</b>: Neither DEMPRAGE nor MP2RAGE exhibited consistent segmentation performance across all toolboxes tested.</p><p><b>DISCUSSION</b>: This research indicates that customized data collection and processing methods are necessary for reliable and valid structural MRI segmentation in astronauts, as current methods provide erroneous classification and hence inaccurate claims of neuroplastic brain changes in the astronaut population.</p>en
dc.languageenen
dc.publisherAerospace Medical Associationen
dc.relation.ispartofAerospace Medicine and Human Performanceen
dc.titleModern Magnetic Resonance Imaging Modalities to Advance Neuroimaging in Astronautsen
dc.typeJournal Articleen
dc.identifier.doi10.3357/AMHP.6395.2024en
local.contributor.firstnameLilaen
local.contributor.firstnameForden
local.contributor.firstnameTejdeepen
local.contributor.firstnameRebeccaen
local.contributor.firstnameGiuseppeen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailrwilli90@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited State of Americaen
local.format.startpage245en
local.format.endpage253en
local.peerreviewedYesen
local.identifier.volume95en
local.identifier.issue5en
local.contributor.lastnameBergeren
local.contributor.lastnameBurlesen
local.contributor.lastnameJaswalen
local.contributor.lastnameWilliamsen
local.contributor.lastnameIariaen
dc.identifier.staffune-id:rwilli90en
local.profile.orcid0000-0002-8949-1197en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/64371en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleModern Magnetic Resonance Imaging Modalities to Advance Neuroimaging in Astronautsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBerger, Lilaen
local.search.authorBurles, Forden
local.search.authorJaswal, Tejdeepen
local.search.authorWilliams, Rebeccaen
local.search.authorIaria, Giuseppeen
local.uneassociationNoen
dc.date.presented2024-05-01-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2024en
local.year.presented2024en
local.subject.for20203209 Neurosciencesen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2025-01-08en
Appears in Collections:Journal Article
School of Science and Technology
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