The DOI matches its Crossref record; 68 of the 69 references it cites were found in a registry or an index.
Resting state sensorimotor functional connectivity in multiple sclerosis inversely correlates with transcallosal motor pathway transverse diffusivity
Open accessAbstract
Recent studies indicate that functional connectivity using low‐frequency BOLD fluctuations (LFBFs) is reduced between the bilateral primary sensorimotor regions in multiple sclerosis. In addition, it has been shown that pathway‐dependent measures of the transverse diffusivity of water in white matter correlate with related clinical measures of functional deficit in multiple sclerosis. Taken together, these methods suggest that MRI methods can be used to probe both functional connectivity and anatomic connectivity in subjects with known white matter impairment. We report the results of a study comparing anatomic connectivity of the transcallosal motor pathway, as measured with diffusion tensor imaging (DTI) and functional connectivity of the bilateral primary sensorimotor cortices (SMC), as measured with LFBFs in the resting state. High angular resolution diffusion imaging was combined with functional MRI to define the transcallosal white matter pathway connecting the bilateral primary SMC. Maps were generated from the probabilistic tracking employed and these maps were used to calculate the mean pathway diffusion measures fractional anisotropy 〈FA〉, mean diffusivity 〈MD〉, longitudinal diffusivity 〈λ 1〉, and transverse diffusivity 〈λ 2〉. These were compared with LFBF‐based functional connectivity measures (Fc) obtained at rest in a cohort of 11 multiple sclerosis patients and ∼10 age‐ and gender‐matched control subjects. The correlation between 〈FA〉 and Fc for MS patients was r = −0.63, P < 0.04. The correlation between all subjects 〈λ 2〉 and Fc was r = 0.42, P < 0.05. The correlation between all subjects 〈λ 2〉 and Fc was r = −0.50, P < 0.02. None of the control subject correlations were significant, nor were 〈FA〉, 〈λ 1〉, or 〈MD〉 significantly correlated with Fc for MS patients. This constitutes the first in vivo observation of a correlation between measures of anatomic connectivity and functional connectivity using spontaneous LFBFs. Hum Brain Mapp, 2008. © 2008 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“higher FA has been associated with better functional connectivity between anatomically distant gray matter regions using resting-state fMRI (functional MRI) 35,47,48”
From Physical exercise keeps the brain connected: biking increases white matter integrity in patients with schizophrenia and healthy controls. (2015) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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
Numerical Recipes, The Art of Scientific Computing
Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T., & Gould, H. (1987) · American Journal of Physics · doi:10.1119/1.14981 · Cited by 10,032
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Numerical Recipes: The Art of Scientific Computing
Ziegel, E. R., Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1987) · Technometrics · doi:10.2307/1269484 · Cited by 6,704
Axonal transection in the lesions of multiple sclerosis
Trapp, B. D., Peterson, J., Ransohoff, R. M., Rudick, R., Mörk, S., & Bö, L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801293380502 · Cited by 4,029
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Flagged first, then by citations
1 of the 69 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Adams RD, 1997, Principles Of Neurology, 903
Cited by
Sorted by citations
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987
The Resting Brain: Unconstrained yet Reliable
Shehzad, Z. E., Kelly, C. A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn256 · Cited by 948
Disease and the brain's dark energy
Zhang, D., & Raichle, M. E. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.198 · Cited by 928
Damoiseaux, J. S., & Greicius, M. D. (2009) · Brain Structure and Function · doi:10.1007/s00429-009-0208-6 · Cited by 897
Weissenbacher, A., Kasess, C., Gerstl, F., Lanzenberger, R., Moser, E., & Windischberger, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.005 · Cited by 776
Zuo, X., Kelly, C. A. M., Martino, A. D., Mennes, M., Margulies, D. S., Bangaru, S. D., Grzadzinski, R., Evans, A. C., Zang, Y., Castellanos, F. X., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2612-10.2010 · Cited by 755
van den Heuvel, M. P., Stam, C. J., Boersma, M., & Pol, H. E. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.010 · Cited by 745
Schizophrenia, neuroimaging and connectomics
Fornito, A., Zalesky, A., Pantelis, C., & Bullmore, E. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.090 · Cited by 716
Caeyenberghs, K., Leemans, A., Leunissen, I., Michiels, K., & Swinnen, S. P. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00726 · Cited by 463
Yong He, A., Dagher, A., Chen, Z., Charil, A., Zijdenbos, A. P., Worsley, K. J., & Evans, A. C. (2009) · Brain · doi:10.1093/brain/awp089 · Cited by 460
Fox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.035 · Cited by 395
Unraveling the Miswired Connectome: A Developmental Perspective
Martino, A. D., Fair, D. A., Kelly, C. A. M., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R. C., Luna, B., LEVENTHAL, B. L., Zuo, X., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.050 · Cited by 357
Regional Variation in Interhemispheric Coordination of Intrinsic Hemodynamic Fluctuations
Stark, D. E., Margulies, D. S., Shehzad, Z. E., Reiss, P. T., Kelly, C. A. M., Uddin, L. Q., Gee, D. G., Roy, A. K., Banich, M. T., Castellanos, F. X., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4544-08.2008 · Cited by 324
Shu, N., Liu, Y., Li, K., Duan, Y., Wang, J., Yu, C., Dong, H., Ye, J., & Yong He, A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr039 · Cited by 322
Guye, M., Bettus, G., Bartoloméi, F., & Cozzone, P. J. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0205-z · Cited by 314
Changes of Brain Structure and Function in ADHD Children
Qiu, M., Ye, Z., Li, Q., Liu, G., Xie, B., & Wang, J. (2010) · Brain Topography · doi:10.1007/s10548-010-0168-4 · Cited by 286
Hyperconnectivity is a fundamental response to neurological disruption.
Hillary, F. G., Román, C. A. F., Venkatesan, U. M., Rajtmajer, S. M., Bajo, R., & Castellanos, N. P. (2014) · Neuropsychology · doi:10.1037/neu0000110 · Cited by 265
Smyser, C. D., Snyder, A. Z., & Neil, J. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.073 · Cited by 259
What's New in Neuroimaging Methods?
Bandettini, P. A. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04420.x · Cited by 235
Reproducibility of Single-Subject Functional Connectivity Measurements
Anderson, J. S., Ferguson, M. A., Lopez-Larson, M. P., & Yurgelun-Todd, D. A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2330 · Cited by 198
Verstraete, E., van den Heuvel, M. P., Veldink, J. H., Blanken, N., Mandl, R. C. W., Pol, H. E. H., & van den Berg, L. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013664 · Cited by 183
Neuroplasticity and functional recovery in multiple sclerosis
Tomassini, V., Matthews, P. M., Thompson, A. J., Fuglø, D., Geurts, J. J. G., Johansen‐Berg, H., Jones, D. K., Rocca, M. A., Wise, R. G., Barkhof, F., et al. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.179 · Cited by 176
Boyatzis, R. E., Passarelli, A. M., Koenig, K. A., Lowe, M. J., Mathew, B., Stoller, J. K., & Phillips, M. (2011) · The Leadership Quarterly · doi:10.1016/j.leaqua.2011.08.003 · Cited by 175
Self-citationFunctional implications of age differences in motor system connectivity
Langan, J. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00017 · Cited by 168
Structural substrates for resting network disruption in temporal lobe epilepsy
Voets, N., Beckmann, C. F., Cole, D. M., Hong, S., Bernasconi, A., & Bernasconi, N. (2012) · Brain · doi:10.1093/brain/aws137 · Cited by 154
Hutchison, R. M., & Everling, S. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00029 · Cited by 143
Imaging biomarkers in multiple sclerosis
Filippi, M., & Agosta, F. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22102 · Cited by 141
Fusing DTI and fMRI data: A survey of methods and applications
Zhu, D., Zhang, T., Jiang, X., Hu, X., Chen, H., Yang, N., Lv, J., Han, J., Guo, L., & Liu, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.071 · Cited by 138
Svatkova, A., Mandl, R. C. W., Scheewe, T. W., Cahn, W., Kahn, R. S., & Hulshoff Pol, H. E. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv033 · Cited by 120
Cognitive state and connectivity effects of the genome-wide significant psychosis variant in ZNF804A
Esslinger, C., Kirsch, P., Haddad, L., Mier, D. U., Sauer, C., Erk, S., Schnell, K., Arnold, C., Witt, S. H., Rietschel, M., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.012 · Cited by 121
Stable long-range interhemispheric coordination is supported by direct anatomical projections
Shen, K., Mišić, B., Cipollini, B., Bezgin, G., Buschkuehl, M., Hutchison, R. M., Jaeggi, S. M., Kross, E. F., Peltier, S., Everling, S., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503436112 · Cited by 114
Fjell, A. M., Sneve, M. H., Grydeland, H., Storsve, A. B., Amlien, I. K., Yendiki, A., & Walhovd, K. B. (2016) · Human Brain Mapping · doi:10.1002/hbm.23403 · Cited by 122
Gour, N., Ranjeva, J., Ceccaldi, M. P., Sylviane Confort-gouny, A., Barbeau, E. J., Soulier, E., Guye, M., Didic, M., & Félician, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.090 · Cited by 107
Richiardi, J., Gschwind, M., Simioni, S., Annoni, J., Greco, B. M., Hagmann, P., Schluep, M., Vuilleumier, P. O., & Ville, D. V. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.078 · Cited by 99
The Explanatory Power of Network Models
Craver, C. F. (2016) · Philosophy of Science · doi:10.1086/687856 · Cited by 96
Functional Connectivity in Multiple Sclerosis: Recent Findings and Future Directions
Tahedl, M., Levine, S. M., Greenlee, M. W., Weissert, R., & Schwarzbach, J. V. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00828 · Cited by 99
Mazerolle, E. L., Beyea, S., Gawryluk, J. R., Brewer, K., Bowen, C. V., & D’Arcy, R. C. N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.102 · Cited by 91
Exploring brain functional connectivity in rest and sleep states: a fNIRS study
Nguyen, T. H., Babawale, O., Kim, T., Jo, H. J., Liu, H., & Kim, J. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-33439-2 · Cited by 87
Saccà, V., Sarica, A., Novellino, F., Barone, S., Tallarico, T., Filippelli, E., Granata, A., Chiriaco, C., Bossio, R. B., Valentino, P., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9926-9 · Cited by 88
Matsui, T., Tamura, K., Koyano, K. W., Takeuchi, D., Adachi, Y., Osada, T., & Miyashita, Y. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr019 · Cited by 82
Sha, Z., Xia, M., Lin, Q., Cao, M., Tang, Y., Xu, K., Song, H., Wang, Z., Wang, F., Fox, P. T., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx273 · Cited by 88
Linking Functional Connectivity and Structural Connectivity Quantitatively: A Comparison of Methods
Huang, H., & Ding, M. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0382 · Cited by 93
van den Heuvel, M. P., & Pol, H. E. H. (2009) · Human Brain Mapping · doi:10.1002/hbm.20893 · Cited by 79
Kern, K. C., Sarcona, J., Montag, M. J., Giesser, B. S., & Sicotte, N. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.077 · Cited by 78
Cunningham, D. A., Machado, A. G., Janini, D., Varnerin, N. M., Bonnett, C. E., Yue, G. H., Jones, S., Lowe, M. J., Beall, E. B., Sakaie, K., et al. (2014) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2014.07.419 · Cited by 76
Self-citationRocca, M. A., Absinta, M., Moiola, L., Ghezzi, A., Colombo, B., Martinelli, V., Comı, G., & Filippi, M. (2010) · Radiology · doi:10.1148/radiol.09090463 · Cited by 76
Exercise Therapy for Parkinson's Disease: Pedaling Rate Is Related to Changes in Motor Connectivity
Shah, C., Beall, E. B., Frankemolle‐Gilbert, A. M., Penko, A. L., Phillips, M. D., Lowe, M. J., & Alberts, J. L. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0328 · Cited by 76
Self-citationBeall, E. B., Lowe, M. J., Alberts, J. L., Frankemolle‐Gilbert, A. M., Thota, A. K., Shah, C., & Phillips, M. D. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0104 · Cited by 75
Self-citationGiorgio, A., Palace, J. A., Johansen‐Berg, H., Smith, S. M., Ropele, S., Fuchs, S., Wallner-Blazek, M., Enzinger, C., & Fazekas, F. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22062 · Cited by 70
A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG
Mahyari, A., Zoltowski, D. M., Bernat, E. M., & Aviyente, S. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2553960 · Cited by 66
Abnormal connectivity of the sensorimotor network in patients with MS: A multicenter fMRI study
Rocca, M. A., Absinta, M., Valsasina, P., Ciccarelli, O., Marino, S., Rovira, À., Gass, A., Wegner, C., Enzinger, C., Korteweg, T., et al. (2008) · Human Brain Mapping · doi:10.1002/hbm.20679 · Cited by 67
Lin, Y., Potter–Baker, K. A., Cunningham, D. A., Li, M., Sankarasubramanian, V., Lee, J., Jones, S., Sakaie, K., Wang, X., Machado, A. G., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.06.016 · Cited by 66
Self-citationLoitfelder, M., Filippi, M., Rocca, M. A., Valsasina, P., Ropele, S., Jehna, M., Fuchs, S., Schmidt, R., Neuper, C., Fazekas, F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042862 · Cited by 65
Sankarasubramanian, V., Cunningham, D. A., Potter–Baker, K. A., Beall, E. B., Roelle, S. M., Varnerin, N. M., Machado, A. G., Jones, S. E., Lowe, M. J., & Plow, E. B. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0440 · Cited by 65
Self-citationMorgan, V. L., Mishra, A., Newton, A. T., Gore, J. C., & Ding, Z. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006660 · Cited by 62
Gee, D. G., Biswal, B. B., Kelly, C. A. M., Stark, D. E., Margulies, D. S., Shehzad, Z. E., Uddin, L. Q., Klein, D. F., Banich, M. T., Castellanos, F. X., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.073 · Cited by 60
Zhou, F., Zhuang, Y., Gong, H., Wang, B., Wang, X., Chen, Q., Wu, L., & Wan, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101198 · Cited by 59
Adaptive cyclic physiologic noise modeling and correction in functional MRI
Beall, E. B. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.01.013 · Cited by 59
Self-citationTopological organization of connectivity strength in the rat connectome
van den Heuvel, M. P., Scholtens, L. H., & de Reus, M. A. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-0999-6 · Cited by 58
Owen, J. P., Li, Y., Yang, F., Shetty, C., Bukshpun, P., Vora, S., Wakahiro, M. L. J., Hinkley, L. B. N., Nagarajan, S. S., Sherr, E. H., et al. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0175 · Cited by 58
Development of biomarkers for multiple sclerosis as a neurodegenerative disorder
Ziemann, U., Wahl, M., Hattingen, E., & Tumani, H. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.04.007 · Cited by 55
Sbardella, E., Tona, F., Petsas, N., Upadhyay, N., Piattella, M. C., Filippini, N., Prosperini, L., Pozzilli, C., & Pantano, P. (2015) · Multiple Sclerosis Journal · doi:10.1177/1352458514568826 · Cited by 51
Colombo, B., Rocca, M. A., Messina, R., Guerrieri, S., & Filippi, M. (2015) · Neurological Sciences · doi:10.1007/s10072-015-2145-x · Cited by 50
Functional MR Imaging in Multiple Sclerosis
Filippi, M., & Rocca, M. A. (2008) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2008.08.004 · Cited by 49
Potter–Baker, K. A., Varnerin, N. M., Cunningham, D. A., Roelle, S. M., Sankarasubramanian, V., Bonnett, C. E., Machado, A. G., Conforto, A. B., Sakaie, K., & Plow, E. B. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00079 · Cited by 50
Self-citationDogonowski, A.-M., Siebner, H. R., Sørensen, P. S., Wu, X., Biswal, B. B., Paulson, O. B., Dyrby, T. B., Skimminge, A., Blinkenberg, M., & Madsen, K. H. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512460416 · Cited by 45
Le réseau cérébral par défaut : rôle cognitif et perturbations dans la pathologie
Mevel, K., Grassiot, B., Chételat, G., Defer, G. L., Desgranges, B., & Eustache, F. (2010) · Revue Neurologique · doi:10.1016/j.neurol.2010.01.008 · Cited by 47
Fink, F., Klein, J., Lanz, M., Mitrovics, T., Lentschig, M. G., Hahn, H. K., & Hildebrandt, H. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2009.00377.x · Cited by 46
Jandric, D., Doshi, A., Scott, R., Paling, D., Rog, D. J., Chataway, J., Schoonheim, M. M., Parker, G. J. M., & Muhlert, N. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0104 · Cited by 46
Bhattacharyya, P. K., Phillips, M. D., Stone, L. A., Bermel, R. A., & Lowe, M. J. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3483 · Cited by 40
Self-citationFunctional Homotopic Changes in Multiple Sclerosis with Resting-State Functional MR Imaging
Zhou, Y., Milham, M. P., Zuo, X., Kelly, C. A. M., Jaggi, H., Herbert, J., Grossman, R. I., & Ge, Y. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3386 · Cited by 42
Valsasina, P., de la Cruz, M. H., Filippi, M., & Rocca, M. A. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00618 · Cited by 42
Gera, G., Fling, B. W., & Horak, F. B. (2019) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2019.07.011 · Cited by 42
Mwansisya, T. E., Wang, Z., Tao, H., Zhang, H., Hu, A., Guo, S., & Liu, Z. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.07.018 · Cited by 41
Helekar, S. A., Shin, J. C., Mattson, B. J., Bartley, K. A., Stosic, M., Saldana-King, T., Montague, P. R., & Hutton, G. J. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00219 · Cited by 41
Electroencephalography-Derived Sensory and Motor Network Topology in Multiple Sclerosis Fatigue
Vecchio, F., Miraglia, F., Porcaro, C., Cottone, C., Cancelli, A., Rossini, P. M., & Tecchio, F. (2016) · Neurorehabilitation and neural repair · doi:10.1177/1545968316656055 · Cited by 41
Peterson, D. S., & Fling, B. W. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.09.019 · Cited by 44
Kollndorfer, K., Krajnik, J., Woitek, R., Freiherr, J., Prayer, D., & Schöpf, V. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.09.005 · Cited by 40
Ceccarelli, A., Rocca, M. A., Valsasina, P., Rodegher, M., Falini, A., Comi, G., & Filippi, M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07147.x · Cited by 40
Cross‐sectional and longitudinal multimodal structural imaging in prodromal Huntington's disease
Harrington, D. L., Long, J. D., Durgerian, S., Mourany, L., Koenig, K. A., Bonner‐Jackson, A., Paulsen, J. S., for the PREDICT‐HD Investigators of the Huntington Study Group, & Rao, S. M. (2016) · Movement Disorders · doi:10.1002/mds.26803 · Cited by 39
Self-citationWarbrick, T., Rosenberg, J., & Shah, N. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.075 · Cited by 41
Advanced MRI in Multiple Sclerosis: Current Status and Future Challenges
Fox, R. J., Beall, E. B., Bhattacharyya, P. K., Chen, J. T., & Sakaie, K. (2011) · Neurologic Clinics · doi:10.1016/j.ncl.2010.12.011 · Cited by 39
Self-citationChiang, S., Guindani, M., Yeh, H. J., Haneef, Z., Stern, J. M., & Vannucci, M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23456 · Cited by 37
Zhou, X., Sakaie, K., Debbins, J. P., Narayanan, S., Fox, R. J., & Lowe, M. J. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.07.011 · Cited by 36
Self-citationResting-state connectivity of pre-motor cortex reflects disability in multiple sclerosis
Dogonowski, A.-M., Siebner, H. R., Sørensen, P. S., Paulson, O. B., Dyrby, T. B., Blinkenberg, M., & Madsen, K. H. (2013) · Acta Neurologica Scandinavica · doi:10.1111/ane.12121 · Cited by 36
The emergence of doing “nothing” as a viable paradigm design
Lowe, M. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.014 · Cited by 35
Self-citationA historical perspective on the evolution of resting-state functional connectivity with MRI
Lowe, M. J. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0230-y · Cited by 38
Self-citationA multicentre study of motor functional connectivity changes in patients with multiple sclerosis
Valsasina, P., Rocca, M. A., Absinta, M., Sormani, M. P., Mancini, L., Stefano, N. D., Rovira, À., Gass, A., Enzinger, C., Barkhof, F., et al. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07623.x · Cited by 34
McGrath, J., Johnson, K. A., O’Hanlon, E., Garavan, H., Leemans, A., & Gallagher, L. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00434 · Cited by 33
Alterations in Functional and Structural Connectivity in Pediatric-Onset Multiple Sclerosis
Akbar, N., Giorgio, A., Till, C., Sled, J. G., Doesburg, S. M., Stefano, N. D., & Banwell, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145906 · Cited by 37
Endogenous oscillations and networks in functional magnetic resonance imaging
Bandettini, P. A., & Bullmore, E. T. (2008) · Human Brain Mapping · doi:10.1002/hbm.20607 · Cited by 32
Unger, R. H., Lowe, M. J., Beall, E. B., Béthoux, F., Jones, S. E., Machado, A. G., Plow, E. B., & Cunningham, D. A. (2023) · Brain Connectivity · doi:10.1089/brain.2022.0064 · Cited by 32
Self-citationBruyns‐Haylett, M., Harris, S., Boorman, L. W., Zheng, Y., Berwick, J., & Jones, M. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12295 · Cited by 31
Regions of interest for resting-state fMRI analysis determined by inter-voxel cross-correlation
Golestani, A., & Goodyear, B. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.038 · Cited by 32
Corpus Callosum Atrophy Correlates with Gray Matter Atrophy in Patients with Multiple Sclerosis
Klawiter, E. C., Ceccarelli, A., Arora, A., Jackson, J. S., Bakshi, S., Kim, G., Miller, J. R., Tauhid, S., von Gizycki, C., Bakshi, R., et al. (2014) · Journal of Neuroimaging · doi:10.1111/jon.12124 · Cited by 29
Plow, E. B., Cunningham, D. A., Beall, E. B., Jones, S., Wyant, A., Bonnett, C. E., Yue, G. H., Lowe, M. J., Wang, X., Sakaie, K., et al. (2013) · Trials · doi:10.1186/1745-6215-14-331 · Cited by 30
Self-citationModern Methods for Interrogating the Human Connectome
Lowe, M. J., Sakaie, K., Beall, E. B., Calhoun, V. D., Bridwell, D. A., Rubinov, M., & Rao, S. M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000060 · Cited by 29
Self-citationEffect of MAOA Genotype on Resting-State Networks in Healthy Participants
Clemens, B., Voss, B., Pawliczek, C. M., Mingoia, G., Weyer, D., Repple, J., Eggermann, T., Zerres, K., Reetz, K., & Habel, U. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht366 · Cited by 29
SEVEN TOPICS IN FUNCTIONAL MAGNETIC RESONANCE IMAGING
Bandettini, P. A. (2009) · Journal of Integrative Neuroscience · doi:10.1142/s0219635209002186 · Cited by 28
Metadata
- Authors
- Lowe, M. J., Beall, E. B., Sakaie, K. E., Koenig, K. A., Stone, L., Marrie, R. A., & Phillips, M. D.
- Affiliations
- Cleveland Clinic (US)
- University of Manitoba (CA)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2008-04-25
- Volume
- 29
- Issue
- 7
- Pages
- 818-827
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871176
- OpenAlex
- W2022349962
- Cited by
- 196
- References
- 69
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 12 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 10 · 2019: 5 · 2018: 5 · 2017: 6 · 2016: 12 · 2015: 10 · 2014: 13 · 2013: 21 · 2012: 18
- FWCI
- 15.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Keywords
- multiple sclerosis, resting-state functional connectivity, sensorimotor cortex, fractional anisotropy, mean diffusivity, white matter connectivity, probabilistic tractography, high angular resolution diffusion imaging
- MeSH terms
- Brain Mapping, Corpus Callosum, Efferent Pathways, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Motor Cortex, Multiple Sclerosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review