Desenvolvimento de Novos Métodos para Investigação do Cérebro durante o Estado de Repouso
DOI:
https://doi.org/10.29384/rbfm.2017.v11.n3.p33Keywords:
neuroimagem, conectividade funcional, NIRS, fMRI, teoria de grafos.Abstract
O funcionamento cerebral parece ser altamente organizado mesmo na ausência de tarefas específicas. Neste trabalho usamos teoria de grafos num experimento de neuroimagem multimodal com ressonância magnética funcional e espectroscopia no infravermelho próximo para entender melhor a conectividade funcional durante o estado de repouso. Nossos resultados sugerem que, independentemente das diferenças entre voluntários, suas propriedades de grafos é muito similar. Além disso, propomos uma nova abordagem para analisar a conectividade de um grupo baseado na frequência de distribuição de links.
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Raro, S. M., Bandettini, P. A., Binder, J. R., Bobholz, J. A., Hammeke, T. A., Stein, E. A., Hyde JS. Relationship Between Finger Movement Rate and Functional Magnetic Resonance Signal Change in Human Primary Motor Cortex. J Cereb Blood Flow Metab. 1996;16(6):1250-1254.
C. S. Roy, Sherrindton CS. On the regulation of the blood-supply of the brain. J Physiol. 1890;11.
Forero, Edwin J., Novi, Sergio L., Avelar, Wagner m., Anjos, Carlos A., Menko, Julien G., Forti, Rodrigo M., Oliveira, Vinicius R., Cendes, Fernando, Covolan, Roberto J. M., Mesquita RC. Use of near-infrared spectroscopy to probe occlusion severity in patients diagnosed with carotid atherosclerotic disease Abstract : 2017;5(6):1-22.
Strangman G, Culver JP, Thompson JH, Boas DA. A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation. Neuroimage. 2002;17(2):719-731. doi:10.1016/S1053-8119(02)91227-9.
Heekeren HR, Obrig H, Wenzel R, et al. Cerebral haemoglobin oxygenation during sustained visual stimulation - a near-infrared spectroscopy study. Philos Trans R Soc B Biol Sci. 1997;352(1354):743-750. doi:10.1098/rstb.1997.0057.
Attwell D, Laughlin SB. An Energy Budget for Signaling in the Grey Matter of the Brain. J Cereb Blood Flow Metab. 2001:1133-1145. doi:10.1097/00004647-200110000-00001.
Bullmore ET, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10(3):186-198. doi:10.1038/nrn2575.
Novi SL, Rodrigues RBML, Mesquita RC. Resting state connectivity patterns with near- infrared spectroscopy data of the whole head. Biomed Opt Express. 2016;7(7):2524-2537. doi:10.1364/BOE.7.002524.
Mesquita RC, Franceschini MA, Boas DA. Resting state functional connectivity of the whole head with near infrared spectroscopy. Biomed Opt Express. 2010:324-336. doi:10.1364/BOE.1.000324.
Sanz-Arigita EJ, Schoonheim MM, Damoiseaux JS, et al. Loss of “Small-World” Networks in Alzheimer’s Disease: Graph Analysis of fMRI Resting-State Functional Connectivity. PLoS One. 2010;5(11). doi:10.1371/journal.pone.0013788.
Garrity AG, Pearlson GD, McKiernan K, Lloyd D, Kiehl KA, Calhoun VD. Aberrant “default mode” functional connectivity in schizophrenia. Am J Psychiatry. 2007;164(3):450-457. doi:10.1176/appi.ajp.164.3.450.
Safonova LP, Michalos A, Wolf U, et al. Age-correlated changes in cerebral hemodynamics assessed by near-infrared spectroscopy. Arch Gerontol Geriatr. 2004;39(3):207-225. doi:10.1016/j.archger.2004.03.007.
Yasuda CL, Chen Z, Beltramini GC, et al. Aberrant topological patterns of brain structural network in temporal lobe epilepsy. Epilepsia. 2015;56(12):1992-2002. doi:10.1111/epi.13225.
Power JD, Mitra A, Laumann TO, Snyder AZ, Schlaggar BL, Petersen SE. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage. 2014;84:320-341. doi:10.1016/j.neuroimage.2013.08.048.
Huppert TJ, Diamond SG, Franceschini MA, Boas DA. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl Opt. 2009;48(10):280-298. doi:10.1016/j.drugalcdep.2008.02.002.A.
Carbonell F, Bellec P, Shmuel A. Global and system-specific resting-state fMRI fluctuations are uncorrelated: principal component analysis reveals anti-correlated networks. Brain Connect. 2011;1(6):496-510. doi:10.1089/brain.2011.0065.
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