biostudies-literatureLi YBeijing Hospital Management Center-Climb PlanNational Science Foundation of ChinaYouth Project of Beijing Natural Science FoundationCapital Medical Science Innovation Center Scientific Research Pioneering ProjectYoung Scientists Program of Beijing Tiantan Hospital, Capital Medical UniversityNational Natural Science Foundation of ChinaMinistry of Science and Technology of China-National Key Research ProjectCapital Medical University Young Scholars1901-1909https://www.ebi.ac.uk/biostudies/studies/S-EPMC11630882biostudies-literatureUnknown45(12)<h4>Background and purpose</h4>The underlying transcriptomic signatures driving brain functional alterations in MS and neuromyelitis optica spectrum disorder (NMOSD) are still unclear.<h4>Materials and methods</h4>Regional fractional amplitude of low-frequency fluctuation (fALFF) values were obtained and compared among 209 patients with MS, 90 patients with antiaquaporin-4 antibody (AQP4)+ NMOSD, 49 with AQP4- NMOSD, and 228 healthy controls from a discovery cohort. We used partial least squares (PLS) regression to identify the gene transcriptomic signatures associated with disease-related fALFF alterations. The biologic process and cell type-specific signature of the identified PLS genes were explored by enrichment analysis. The correlation between PLS genes and clinical variables was expAJNR. American journal of neuroradiologyImaging Transcriptomics of Brain Functional Alterations in MS and Neuromyelitis Optica Spectrum Disorder.PMC116308822022YFC2009904NO.7244328822020840DFL2022050382330057CX23YQ06NoneNO.YSP202205Li HZhuo ZZhang NHan XTian DLi KGuo MLiu YLi YZhang XShi FZhou FXu XSun JDuan YfalseImaging Transcriptomics of Brain Functional Alterations in MS and Neuromyelitis Optica Spectrum Disorder.<h4>Background and purpose</h4>The underlying transcriptomic signatures driving brain functional alterations in MS and neuromyelitis optica spectrum disorder (NMOSD) are still unclear.<h4>Materials and methods</h4>Regional fractional amplitude of low-frequency fluctuation (fALFF) values were obtained and compared among 209 patients with MS, 90 patients with antiaquaporin-4 antibody (AQP4)+ NMOSD, 49 with AQP4- NMOSD, and 228 healthy controls from a discovery cohort. We used partial least squares (PLS) regression to identify the gene transcriptomic signatures associated with disease-related fALFF alterations. The biologic process and cell type-specific signature of the identified PLS genes were explored by enrichment analysis. The correlation between PLS genes and clinical variables was exp2024-01-01T00:00:00Z2024 Dec2026-06-05T20:57:29.598Z2026-05-21T03:13:09.995ZS-EPMC116308823951080410.3174/ajnr.A848010.3174/ajnr.a8480