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Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?
Fan, Zhen1; Chen, Xiao2,3; Qi, Zeng-Xin1; Li, Le2,4; Liu, Bin2,3; Jiang, Cong-Lin1; Zhu, Ren-Qing1; Yan, Chao-Gan2,3,4,5; Chen, Liang1
First AuthorZhen Fan
Correspondent (c.-g. yan) ; (l. chen).
Contribution Rank2

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 cranial cavity 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.

KeywordResting-state fMRI Standardization Biomarker Cerebellum Tumor
Indexed BySCI
Funding ProjectNatural Science Foundation and Major Basic Research Program of Shanghai[16JC1420100] ; Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission[16SG02] ; Shanghai Municipal Science and Technology Major Project[2018SHZDZX01] ; Shanghai Municipal Health Commission Intelligence Medical Program[2018ZHYL0107] ; Shanghai Municipal Health Commission Subject Chief Scientist ; National Key R&D Program of China[2017YFC1309902] ; National Natural Science Foundation of China[81671774] ; National Natural Science Foundation of China[81630031] ; the 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505] ; Beijing Municipal Science & Technology Commission[Z161100000216152]
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeuroimaging
WOS IDWOS:000470123000091
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorYan, Chao-Gan; Chen, Liang
Affiliation1.Fudan Univ, Huashan Hosp, Shanghai Neurosurg Clin Ctr, Dept Neurosurg, 12 Mid Wulumuqi Rd, Shanghai 200040, Peoples R China
2.Inst Psychol, CAS Key Lab Behav Sci, 16 Lincui Rd, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
4.Chinese Acad Sci, Magnet Resonance Imaging Res Ctr, Inst Psychol, Beijing, Peoples R China
5.NYU, Sch Med, Langone Med Ctr, Dept Child & Adolescent Psychiat, New York, NY USA
Corresponding Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
GB/T 7714
Fan, Zhen,Chen, Xiao,Qi, Zeng-Xin,et al. Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?[J]. NEUROIMAGE-CLINICAL,2019,22:10.
APA Fan, Zhen.,Chen, Xiao.,Qi, Zeng-Xin.,Li, Le.,Liu, Bin.,...&Chen, Liang.(2019).Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?.NEUROIMAGE-CLINICAL,22,10.
MLA Fan, Zhen,et al."Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?".NEUROIMAGE-CLINICAL 22(2019):10.
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