Abstract
We propose a technical solution that enables 3D video-based in-bore movement quantification to be acquired synchronously with the BOLD function magnetic resonance imaging (fMRI) sequences. Our solution relies on in-bore video setup with 2 cameras mounted in a 90 degrees angle that allows tracking movments while acquiring fMRI sequences. In this study we show that using 3D motion quantification of a simple finger opposition paradigm we were able to map two different finger positions to two different BOLD response patterns in a typical block design protocol. The motion information was also used to adjust the block design to the actual motion start and stop improving the time accuracy of the analysis. These results reinforce the role of video based motion quantification in fMRI analysis as an independent regressor that allows new findings not discernable when using traditional block designs.
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References
Witt, S.T., Laird, A.R., Meyerand, M.E.: Functional neuroimaging correlates of finger-tapping task variations: an ALE meta-analysis. Neuroimage 42, 343–356 (2008)
Guillot, A., Collet, C., Nguyen, V.A., Malouin, F., Richards, C., Doyon, J.: Brain activity during visual versus kinesthetic imagery: an fMRI study. Hum. Brain Mapp. 30, 2157–2172 (2009)
Smith, J.F., Chen, K., Johnson, S., Morrone-Strupinsky, J., Reiman, E.M., Nelson, A., Moeller, J.R., Alexander, G.E.: Network analysis of single-subject fMRI during a finger opposition task. Neuroimage 32, 325–332 (2006)
Solodkin, A., Hlustik, P., Chen, E.E., Small, S.L.: Fine modulation in network activation during motor execution and motor imagery. Cereb Cortex 14, 1246–1255 (2004)
Liu, J.Z., Zhang, L., Yao, B., Yue, G.H.: Accessory hardware for neuromuscular measurements during functional MRI experiments. Magma. 13, 164–171 (2002)
De Luca, C., Bertollo, M., Comani, S.: Non-magnetic equipment for the high-resolution quantification of finger kinematics during functional studies of bimanual coordination. J. Neurosci. Methods 192, 173–184 (2010)
Schaechter, J.D., Stokes, C., Connell, B.D., Perdue, K., Bonmassar, G.: Finger motion sensors for fMRI motor studies. Neuroimage 31, 1549–1559 (2006)
Raethjen, J., Deuschl, G.: Tremor. Curr. Opin. Neurol. 22, 400–405 (2009)
Li, Z., Martins da Silva, A., Cunha, J.P.S.: Movement quantification in epileptic seizures: a new approach to video-EEG analysis. IEEE Trans. Biomed. Eng. 49, 565–573 (2002)
Fernandes, J.M., Tafula, S., Brandão, S., Bastos Leite, A., Ramos, I., Silva-Cunha, J.P.: Video-EEG-fMRI: Contribution of in-bore Video for the Analysis of Motor Activation Paradigms. In: World Conference on Medical Physics and Biomedical Engineering, pp. 786–789. Springer, Heidelberg (2009)
Amaro Jr., E., Williams, S.C., Shergill, S.S., Fu, C.H., MacSweeney, M., Picchioni, M.M., Brammer, M.J., McGuire, P.K.: Acoustic noise and functional magnetic resonance imaging: current strategies and future prospects. J. Magn. Reson. Imaging 16, 497–510 (2002)
Statistical Parametric Mapping: The Analysis of Functional Brain Images. Academic Press, London (2007)
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M.: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15, 273–289 (2002)
Carey, J.R., Kimberley, T.J., Lewis, S.M., Auerbach, E.J., Dorsey, L., Rundquist, P., Ugurbil, K.: Analysis of fMRI and finger tracking training in subjects with chronic stroke. Brain 125, 773–788 (2002)
Serrien, D.J.: Functional connectivity patterns during motor behaviour: the impact of past on present activity. Hum. Brain Mapp. 30, 523–531 (2009)
Horenstein, C., Lowe, M.J., Koenig, K.A., Phillips, M.D.: Comparison of unilateral and bilateral complex finger tapping-related activation in premotor and primary motor cortex. Hum. Brain Mapp. (2008)
Taniwaki, T., Okayama, A., Yoshiura, T., Togao, O., Nakamura, Y., Yamasaki, T., Ogata, K., Shigeto, H., Ohyagi, Y., Kira, J., Tobimatsu, S.: Functional network of the basal ganglia and cerebellar motor loops in vivo: different activation patterns between self-initiated and externally triggered movements. Neuroimage 31, 745–753 (2006) (Epub. 2006 February 2007)
Kansaku, K., Muraki, S., Umeyama, S., Nishimori, Y., Kochiyama, T., Yamane, S., Kitazawa, S.: Cortical activity in multiple motor areas during sequential finger movements: an application of independent component analysis. Neuroimage 28, 669–681 (2005) (Epub. 2005 July 2028)
Formaggio, E., Storti, S.F., Avesani, M., Cerini, R., Milanese, F., Gasparini, A., Acler, M., Pozzi Mucelli, R., Fiaschi, A., Manganotti, P.: EEG and FMRI coregistration to investigate the cortical oscillatory activities during finger movement. Brain Topogr. 21, 100–111 (2008)
Casellato, C., Ferrante, S., Gandolla, M., Volonterio, N., Ferrigno, G., Baselli, G., Frattini, T., Martegani, A., Molteni, F., Pedrocchi, A.: Simultaneous measurements of kinematics and fMRI: compatibility assessment and case report on recovery evaluation of one stroke patient. J. Neuroeng. Rehabil. 7, 49 (2010)
Silva-Cunha, J.P., Fernandes, J.M., Bento, V., Paula, L., Dias, E., Bilgin, C., Noachtar, S.: 2D versus 3D approaches to movement quantification in epileptic seizures: Simulations and real seizures comparative evaluation. In: 9th European Congress on Epileptology, Rhodes, Greece (2010)
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Fernandes, J.M., Tafula, S., Cunha, J.P.S. (2011). 3D-Video-fMRI: 3D Motion Tracking in a 3T MRI Environment. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_7
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DOI: https://doi.org/10.1007/978-3-642-21596-4_7
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