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Regional homogeneity approach to fMRI data analysis.
Abstract
Kendall's coefficient concordance (KCC) can measure the similarity of a number of time series. It has been used for purifying a given cluster in functional MRI (fMRI). In the present study, a new method was developed based on the regional homogeneity (ReHo), in which KCC was used to measure the similarity of the time series of a given voxel to those of its nearest neighbors in a voxel-wise way. Six healthy subjects performed left and right finger movement tasks in event-related design; five of them were additionally scanned in a rest condition. KCC was compared among the three conditions (left finger movement, right finger movement, and the rest). Results show that bilateral primary motor cortex (M1) had higher KCC in either left or right finger movement condition than in rest condition. Contrary to prediction and to activation pattern, KCC of ipsilateral M1 is significantly higher than contralateral M1 in unilateral finger movement conditions. These results support the previous electrophysiologic findings of increasing ipsilateral M1 excitation during unilateral movement. ReHo can consider as a complementary method to model-driven method, and it could help reveal the complexity of the human brain function. More work is needed to understand the neural mechanism underlying ReHo.
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“ALFF in the current study was considered to be a reflection of neuroactivities in focal regions (Zang et al., 2007), while ReHo adopted previously may characterize the cohesiveness in neighboring brain regions (i.e., focal connectivity) (Zang et al., 2004).”
From Enhanced Resting-State Functional Connectivity With Decreased Amplitude of Low-Frequency Fluctuations of the Salience Network in Mindfulness Novices (2022) · cites this paper as Zang et al., 2004
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Bevan, J. M., & Kendall, M. G. (1971) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2986801 · Cited by 2,458
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Processing strategies for time‐course data sets in functional mri of the human brain
Bandettini, P. A., Jesmanowicz, A., Wong, E. C., & Hyde, J. S. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300204 · Cited by 1,762
Govindarajulu, Z., Kendall, M. M., & Gibbons, J. D. (1992) · Technometrics · doi:10.2307/1269571 · Cited by 1,140
Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houdé, O., Crivello, F., Joliot, M., Petit, L., & Tzourio-Mazoyer, N. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00437-8 · Cited by 906
(2002) · Elsevier eBooks · doi:10.1016/b978-0-12-693019-1.x5000-x · Cited by 713
Calhoun, V. D., Adalı, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1024 · Cited by 697
On Clustering fMRI Time Series
Goutte, C., Toft, P., Rostrup, E., Nielsen, F. Å., & Hansen, L. K. (1999) · NeuroImage · doi:10.1006/nimg.1998.0391 · Cited by 519
Experience-dependent changes in cerebellar contributions to motor sequence learning
Doyon, J., Song, A. W., Karni, A., Lalonde, F. M., Adams, M. M., & Ungerleider, L. G. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.022615199 · Cited by 478
Functional MRI cerebral activation and deactivation during finger movement
Allison, J., Meador, K. J., Loring, D. W., Figueroa, R., & Wright, J. C. (2000) · Neurology · doi:10.1212/wnl.54.1.135 · Cited by 317
Activation of Distinct Motor Cortex Regions During Ipsilateral and Contralateral Finger Movements
Cramer, S. C., Finklestein, S. P., Schaechter, J. D., Bush, G., & Rosen, B. R. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.1.383 · Cited by 277
Single-Trial Variability in Event-Related BOLD Signals
Duann, J., Jung, T., Kuo, W., Yeh, T., Makeig, S., Hsieh, J., & B, T. J. S. A. (2002) · NeuroImage · doi:10.1006/nimg.2001.1049 · Cited by 215
Ziemann, U., & Hallett, M. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00502-2 · Cited by 204
Time-resolved fMRI of mental rotation
Richter, W., Uǧurbil, K., Georgopoulos, A. P., & Kim, S. (1997) · Neuroreport · doi:10.1097/00001756-199712010-00008 · Cited by 194
Bilateral activation of the human somatomotor cortex by distal hand movements
Salmelin, R. H., Forss, N., Knuutila, J., & Hari, R. (1995) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00193-x · Cited by 158
Generalizable Patterns in Neuroimaging: How Many Principal Components?
Hansen, L. K., Larsen, J. O., Nielsen, F. Å., Strother, S. C., Rostrup, E., Savoy, R. L., LANGE, N. D., Sidtis, J. J., Svarer, C., & Paulson, O. B. (1999) · NeuroImage · doi:10.1006/nimg.1998.0425 · Cited by 154
Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part I: Reproducibility
Baumgartner, R., Scarth, G. B., Teichtmeister, C., Somorjai, R. L., & Moser, E. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070623 · Cited by 131
Region growing method for the analysis of functional MRI data
Lu, Y., Jiang, T., & Zang, Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00352-5 · Cited by 114
Self-citationHamzei, F., Dettmers, C., Rzanny, R., Liepert, J., Büchel, C., & Weiller, C. (2002) · NeuroImage · doi:10.1006/nimg.2002.1077 · Cited by 106
A hierarchical clustering method for analyzing functional MR images
Filzmoser, P., Baumgartner, R., & Moser, E. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00014-4 · Cited by 105
Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part II: Quantification
Moser, E., Diemling, M., & Baumgartner, R. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070624 · Cited by 100
Urbano, A., Babiloni, C., Onorati, P., Carducci, F., Ambrosini, A., Fattorini, L., & Babiloni, F. (1998) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1998.00072.x · Cited by 67
Song, H. K., & Wehrli, F. W. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199905)41:5 · Cited by 63
Assessment of cluster homogeneity in fMRI data using Kendall’s coefficient of concordance
Baumgartner, R., Somorjai, R. L., Summers, R., & Richter, W. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00101-0 · Cited by 51
A novel local PCA-Based method for detecting activation signals in fMRI
Lai, S., & Fang, M. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00038-7 · Cited by 51
Moritz, C. H., Meyerand, M. E., Cordes, D., & HAUGHTON, V. M. (2000) · PubMed Central · Cited by 31
Bernard, R. A., Goran, D. A., Sakai, S. T., Carr, T. H., McFarlane, D. K., Nordell, B., Cooper, T. G., & Potchen, E. J. (2002) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.2.3.271 · Cited by 23
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DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
Yan, C., Wang, X., Zuo, X., & Zang, Y. (2016) · Neuroinformatics · doi:10.1007/s12021-016-9299-4 · Cited by 3,935
Self-citationDPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780
Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.07.002 · Cited by 2,660
Self-citationZou, Q., Zhu, C.-Z., Yang, Y., Zuo, X., Long, X., Cao, Q., Wang, Y., & Zang, Y. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.012 · Cited by 2,169
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Metadata
- Authors
- Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Jiang, Tianzi
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 22
- Issue
- 1
- Pages
- 394-400
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2007213925
- Cited by
- 2,614
- References
- 34
- Citations by year
- 2026: 156 · 2025: 237 · 2024: 241 · 2023: 231 · 2022: 247 · 2021: 238 · 2020: 178 · 2019: 156 · 2018: 151 · 2017: 172 · 2016: 133 · 2015: 126 · 2014: 85 · 2013: 84 · 2012: 66
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- regional homogeneity, Kendall's coefficient of concordance, fMRI data analysis, primary motor cortex, finger movement, event-related design, brain activation patterns
- MeSH terms
- Adult, Brain Mapping, Data Interpretation, Statistical, Female, Fingers, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Motor Cortex, Movement, Cluster Analysis, Linear Models
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