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• W2918254049 endingPage "101741" @default.
• W2918254049 startingPage "101741" @default.
• W2918254049 abstract "Resting-state functional MRI (R-fMRI) research has recently entered the era of big data, however, few studies have provided a rigorous validation of the physiological underpinnings of R-fMRI indices. Although studies have reported that various neuropsychiatric disorders exhibit abnormalities in R-fMRI measures, these biomarkers have not been validated in differentiating structural lesions (brain tumors) as a concept proof. We enrolled 60 patients with intracranial tumors located in the unilateral cranialcavity and 60 matched normal controls to test whether R-fMRI indices can differentiate tumors, which represents a prerequisite for adapting such indices as biomarkers for neuropsychiatric disorders. Common R-fMRI indices of tumors and their counterpart control regions, which were defined as the contralateral normal areas (for amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo) and degree centrality (DC)) and ipsilateral regions surrounding the tumors (for voxel-mirrored homotopic connectivity (VMHC)), were comprehensively assessed. According to robust paired t-tests with a Bonferroni correction, only VMHC (Fisher's r-to-z transformed) could successfully differentiate substantial tumors from their counterpart normal regions in patients. Furthermore, ALFF and DC were not able to differentiate tumor from normal unless Z-standardization was employed. To validate the lower power of the between-subject design compared to the within-subject design, each metric was calculated in a matched control group, and robust two-sample t-tests were used to compare the patient tumors and the normal controls at the same place. Similarly, only VMHC succeeded in differentiating significant differences between tumors and the sham tumor areas of normal controls. This study tested the premise of R-fMRI biomarkers for differentiating lesions, and brings a new understanding to physical significance of the Z-standardization." @default.
• W2918254049 created "2019-03-11" @default.
• W2918254049 creator A5006030441 @default.
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• W2918254049 creator A5080912355 @default.
• W2918254049 creator A5082893297 @default.
• W2918254049 date "2019-01-01" @default.
• W2918254049 modified "2023-10-12" @default.
• W2918254049 title "Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?" @default.
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• W2918254049 doi "https://doi.org/10.1016/j.nicl.2019.101741" @default.
• W2918254049 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6423471" @default.
• W2918254049 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30878611" @default.

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