@article{5d643039a687426f8f3016299f1eefbf,
title = "Generation of the probabilistic template of default mode network derived from resting-state fMRI",
abstract = "Default-mode network (DMN) has become a prominent network among all large-scale brain networks which can be derived from the resting-state fMRI (rs-fMRI) data. Statistical template labeling the common location of hubs in DMN is favorable in the identification of DMN from tens of components resulted from the independent component analysis (ICA). This paper proposed a novel iterative framework to generate a probabilistic DMN template from a coherent group of 40 healthy subjects. An initial template was visually selected from the independent components derived from group ICA analysis of the concatenated rs-fMRI data of all subjects. An effective similarity measure was designed to choose the best-fit component from all independent components of each subject computed given different component numbers. The selected DMN components for all subjects were averaged to generate an updated DMN template and then used to select the DMN for each subject in the next iteration. This process iterated until the convergence was reached, i.e., the overlapping region between the DMN areas of the current template and the one generated from the previous stage is more than 95%. By validating the constructed DMN template on the rs-fMRI data from another 40 subjects, the generated probabilistic DMN template and the proposed similarity matching mechanism were demonstrated to be effective in automatic selection of independent components from the ICA analysis results. {\textcopyright} 1964-2012 IEEE.",
keywords = "Brain network, default mode network (DMN), resting-state fMRI (rs-fMRI), template, Data visualization, Independent component analysis, Brain networks, Default mode network (DMN), Default-mode networks, Independent component analysis(ICA), Independent components, Overlapping regions, Resting-state fmri, Functional neuroimaging, adult, aged, algorithm, Article, brain mapping, default mode network, female, functional magnetic resonance imaging, functional neuroimaging, human, independent component analysis, male, normal human, nuclear magnetic resonance scanner, time series analysis, anatomy and histology, biological model, brain, image processing, middle aged, nuclear magnetic resonance imaging, physiology, procedures, statistical model, very elderly, Aged, Aged, 80 and over, Algorithms, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Models, Statistical",
author = "Defeng Wang and You-Yong Kong and Chu, {Winnie Chiu-Wing} and Tam, {Cindy Woon-Chi} and Lam, {Linda Chiu-Wa} and Yi-Long Wang and Northoff, {Georg Franz Josef} and Yi-Long Wang and Lin Shi",
note = "Cited By :1 Export Date: 11 May 2016 CODEN: IEBEA Correspondence Address: Shi, L.; Department of Medicine and Therapeutics, Lui CheWoo Institute of Innovation Medicine, Chinese University of Hong KongHong Kong Tradenames: Achieva, Philips, Germany References: Supekar, K., Uddin, L.Q., Prater, K., Amin, H., Greicius, M.D., Menon, V., Development of functional and structural connectivity within the default mode network in young children (2010) Neuroimage, 52, pp. 290-301. , Aug; De Vogelaere, F., Santens, P., Achten, E., Boon, P., Vingerhoets, G., Altered default-mode network activation in mild cognitive impairment compared with healthy aging (2012) Neuroradiology, 54 (11), pp. 1195-1206. , Nov; Greicius, M.D., Srivastava, G., Reiss, A.L., Menon, V., Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (2004) Proc. Natl. Acad. Sci. USA, 101, pp. 4637-4642. , Mar. 30; Mingoia, G., Wagner, G., Langbein, K., Maitra, R., Smesny, S., Dietzek, M., Burmeister, H.P., Nenadic, I., Default mode network activity in schizophrenia studied at resting state using probabilistic ICA (2012) Schizophr Res, 138 (2-3), pp. 143-149. , Jul; Widjaja, E., Zamyadi, M., Raybaud, C., Snead, O.C., Smith, M.L., Impaired default mode network on resting-state fMRI in Children with medically refractory epilepsy (2013) Am J. Neuroradiol, 34, pp. 552-557. , Mar; Beckmann, C.F., Smith, S.A., Probabilistic independent component analysis for functional magnetic resonance imaging (2004) IEEE Trans. Med. Imaging, 23 (2), pp. 137-152. , Feb; Lee, M.H., Hacker, C.D., Snyder, A.Z., Corbetta, M., Zhang, D.Y., Leuthardt, E.C., Shimony, J.S., Clustering of resting state networks (2012) Plos One, 7 (7). , Jul. 9; Qi, R.F., Zhang, L.J., Xu, Q., Zhong, J.H., Wu, S.Y., Zhang, Z.Q., Liao, W., Lu, G.M., Selective impairments of resting-state networks in minimal hepatic encephalopathy (2012) Plos One, 7 (5). , May 25; Rosazza, C., Minati, L., Ghielmetti, F., Mandelli, M.L., Bruzzone, M.G., Functional connectivity during resting-state functional MR imaging: Study of the correspondence between independent component analysis and region-of-interest-based methods (2012) Am. J. Neuroradiol, 33, pp. 180-187. , Jan; Pendse, G.V., Borsook, D., Becerra, L., Asimple and objective method for reproducible resting state network (RSN) detection in fMRI (2011) Plos One, 6 (12). , Dec. 12; Deng, Y., Dai, Q.H., Zhang, Z.K., Graph laplace for occluded face completion and recognition (2011) IEEE Trans. Image Process, 20 (8), pp. 2329-2338. , Aug; Franco, A.R., Pritchard, A., Calhoun, V.D., Mayer, A.R., Interrater and intermethod reliability of default mode network selection (2009) Hum. Brain Mapp, 30, pp. 2293-2303. , Jul; Samann, P.G., Wehrle, R., Hoehn, D., Spoormaker, V.I., Peters, H., Tully, C., Holsboer, F., Czisch, M., Development of the brain's default mode network from wakefulness to slow wave sleep (2011) Cerebral Cortex, 21 (9), pp. 2082-2093. , Sep; Evans, A.C., Marrett, S., Neelin, P., Collins, L., Dai K.WorsleyW., Milot, S., Meyer, E., Bub, D., Anatomical mapping of functional activation in stereotactic coordinate space (1992) Neuroimage, 1 (1), pp. 43-53. , Aug; Holmes, C.J., Hoge, R., Collins, L., Woods, R., Toga, A.W., Evans, A.C., Enhancement of MR images using registration for signal averaging (1998) J. Comput. Assisted Tomography, 22, pp. 324-333. , Mar. -Apr; Guimond, A., Meunier, J., Thirion, J.P., Average brain models: A convergence study (2000) Comput. Vis. Image Understanding, 77, pp. 192-210. , Feb; Fonov, V., Evans, A.C., Botteron, K., Almli, C.R., McKinstry, R.C., Collins, D.L., Unbiased average age-Appropriate atlases for pediatric studies (2011) Neuroimage, 54, pp. 313-327. , Jan. 1; Dhond, R.P., Yeh, C., Park, K., Kettner, N., Napadow, V., Acupuncture modulates resting state connectivity in Default and sensorimotor brain networks (2008) Pain, 136, pp. 407-418. , Jun; Napadow, V., Lacount, L., Park, K., As-Sanie, S., Clauw, D.J., Harris, R.E., (2010) Intrinsic Brain Connectivity in Fibromyalgia Is Associated with Chronic Pain Intensity,{"} Arthritis Rheumatism, 62, pp. 2545-2555. , Aug; Esposito, F., Aragri, A., Pesaresi, I., Cirillo, S., Tedeschi, G., Marciano, E., Goebel, R., Di Salle, F., Independent component model of the defaultmode brain function: Combining individual-level and population-level analyses in resting-state fMRI (2008) Magn. Reson. Imag, 26 (7), pp. 905-913. , Sep; Guo, C.C., Kurth, F., Zhou, J., Mayer, E.A., Eickhoff, S.B., Kramer, J.H., Seeley, W.W., One-year test-retest reliability of intrinsic connectivity network fMRI in older adults (2012) Neuroimage, 61 (4), pp. 1471-1483. , Jul 16; Deng, Y., Zhao, Y.Y., Liu, Y.B., Dai, Q.H., Differences help recognition: A probabilistic interpretation (2013) Plos One, 8, p. 3. , Jun; Habas, C., Kamdar, N., Nguyen, D., Prater, K., Beckmann, C.F., Menon, V., Greicius, M.D., Distinct cerebellar contributions to intrinsic connectivity networks (2009) J. Neurosci, 29 (26), pp. 8586-8594. , Jul. 1; Damoiseaux, J.S., Rombouts, S.A., Barkhof, F., Scheltens, P., Stam, C.J., Smith, S.M., Beckmann, C.F., Consistent resting-state networks across healthy subjects (2006) Proc. Natl. Acad. Sci. USA, 103 (37), pp. 13848-13853. , Sep. 12; Abou-Elseoud, A., Starck, T., Remes, J., Nikkinen, J., Tervonen, O., Kiviniemi, V., The effect of model order selection in group PICA (2010) Hum. Brain Mapp, 31, pp. 1207-1216. , Aug; Ma, L.S., Wang, B.Q., Chen, X.Y., Xiong, J.H., Detecting functional connectivity in the resting brain: A comparison between ICA and CCA (2007) Magn. Reson. Imag, 25, pp. 47-56. , Jan; Geerligs, L., Maurits, N.M., Renken, R.J., Lorist, M.M., Reduced specificity of functional connectivity in the aging brain during task performance (2014) Hum. Brain Mapp, 35, pp. 319-330. , Jan",
year = "2014",
doi = "10.1109/TBME.2014.2323078",
language = "English",
volume = "61",
pages = "2550--2555",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "10",
}