Early Functional Connectivity Predicts Recovery from Visual Field Defects after Stroke
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초록
Background and Purpose We aimed to assess whether early resting-state functional connectivity (RSFC) changes measured via functional magnetic resonance imaging (fMRI) could predict recovery from visual field defect (VFD) in acute stroke patients. Methods Patients with VFD due to acute ischemic stroke in the visual cortex and age-matched healthy controls were prospectively enrolled. Serial resting-state (RS)-fMRI and Humphrey visual field (VF) tests were performed within 1 week and at 1 and 3 months (additional VF test at 6 months) after stroke onset in the patient group. The control group also underwent RS-fMRI and a Humphrey VF test. The changes in RSFCs and VF scores (VFSs) over time and their correlations were investigated. Results In 32 patients (65±10 years, 25 men), the VFSs were lower and the interhemispheric RSFC in the visual cortices was decreased compared to the control group (n=15, 62±6 years, seven men). The VFSs and interhemispheric RSFC in the visual cortex increased mainly within the first month after stroke onset. The interhemispheric RSFC and VFSs were positively correlated at 1 month after stroke onset. Moreover, the interhemispheric RSFCs in the visual cortex within 1 week were positively correlated with the follow-up VFSs. Conclusions Interhemispheric RSFCs in the visual cortices within 1 week after stroke onset may be a useful biomarker to predict long-term VFD recovery.
Abstract
Background and Purpose We aimed to assess whether early resting-state functional connectivity (RSFC) changes measured via functional magnetic resonance imaging (fMRI) could predict recovery from visual field defect (VFD) in acute stroke patients. Methods Patients with VFD due to acute ischemic stroke in the visual cortex and age-matched healthy controls were prospectively enrolled. Serial resting-state (RS)-fMRI and Humphrey visual field (VF) tests were performed within 1 week and at 1 and 3 months (additional VF test at 6 months) after stroke onset in the patient group. The control group also underwent RS-fMRI and a Humphrey VF test. The changes in RSFCs and VF scores (VFSs) over time and their correlations were investigated. Results In 32 patients (65±10 years, 25 men), the VFSs were lower and the interhemispheric RSFC in the visual cortices was decreased compared to the control group (n=15, 62±6 years, seven men). The VFSs and interhemispheric RSFC in the visual cortex increased mainly within the first month after stroke onset. The interhemispheric RSFC and VFSs were positively correlated at 1 month after stroke onset. Moreover, the interhemispheric RSFCs in the visual cortex within 1 week were positively correlated with the follow-up VFSs. Conclusions Interhemispheric RSFCs in the visual cortices within 1 week after stroke onset may be a useful biomarker to predict long-term VFD recovery.
참고문헌 (47)
- Pollock A, "Interventions for visual field defects in patients with stroke", Cochrane Database Syst Rev (2011)
- Çelebisoy M, "Recovery of visual-field defects after occipital lobe infarction: a perimetric study", J Neurol Neurosurg Psychiatry, 82, pp.695~702 (2011)
- Pambakian AL, "Can visual function be restored in patients with homonymous hemianopia?", Br J Ophthalmol, 81, pp.324~328 (1997)
- Zhang X, "Homonymous hemianopias: clinical-anatomic correlations in 904cases", Neurology, 66, pp.906~910 (2006)
- Zhang X, "Natural history of homonymous hemianopia", Neurology, 66, pp.901~905 (2006)
- Kim YH, "Longitudinal fMRI study for locomotor recovery in patients with stroke", Neurology, 67, pp.330~333 (2006)
- Puh U, "Increased cognitive load during simple and complex motor tasks in acute stage after stroke", Int J Psychophysiol, 63, pp.173~180 (2007)
- Tombari D, "A longitudinal fMRI study: in recovering and then in clinically stable sub-cortical stroke patients", Neuroimage, 23, pp.827~839 (2004)
- Ward NS, "Functional reorganization of the cerebral motor system after stroke", Curr Opin Neurol, 17, pp.725~730 (2004)
- Biswal BB, "Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps", NMR Biomed, 10, pp.165~170 (1997)
- Hampson M, "Detection of functional connectivity using temporal correlations in MR images", Hum Brain Mapp, 15, pp.247~262 (2002)
- Damoiseaux JS, "Consistent resting-state networks across healthy subjects", Proc Natl Acad Sci U S A, 103, pp.13848~13853 (2006)
- Raichle ME, "Cognitive neuroscience. Bold insights", Nature, 412, pp.128~130 (2001)
- Ogawa S, "Brain magnetic resonance imaging with contrast dependent on blood oxygenation", Proc Natl Acad Sci U S A, 87, pp.9868~9872 (1990)
- Chen S, "Group independent component analysis reveals consistent resting-state networks across multiple sessions", Brain Res, 1239, pp.141~151 (2008)
- Jae-Sung Lim, "Stroke Connectome and Its Implications for Cognitive and Behavioral Sequela of Stroke", 대한뇌졸중영문학회지, 17(3), pp.256~267 (2015), 대한뇌졸중학회
- Minshew NJ, "The nature of brain dysfunction in autism: functional brain imaging studies", Curr Opin Neurol, 23, pp.124~130 (2010)
- Zhang J, "Structural damage and functional reorganization in ipsilesional m1 in wellrecovered patients with subcortical stroke", Stroke, 45, pp.788~793 (2014)
- Jenkinson M, "FSL", Neuroimage, 62, pp.782~790 (2012)
- Van Dijk KR, "The influence of head motion on intrinsic functional connectivity MRI", Neuroimage, 59, pp.431~438 (2012)
- Fischl B, "High-resolution intersubject averaging and a coordinate system for the cortical surface", Hum Brain Mapp, 8, pp.272~284 (1999)
- Muschelli J, "Reduction of motion-related artifacts in resting state fMRI using aCompCor", Neuroimage, 96, pp.22~35 (2014)
- Power JD, "Methods to detect, characterize, and remove motion artifact in resting state fMRI", Neuroimage, 84, pp.320~341 (2014)
- Desikan RS, "An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest", Neuroimage, 31, pp.968~980 (2006)
- Zalesky A, "Network-based statistic:identifying differences in brain networks", Neuroimage, 53, pp.1197~1207 (2010)
- Corbetta M, "Neural basis and recovery of spatial attention deficits in spatial neglect", Nat Neurosci, 8, pp.1603~1610 (2005)
- He BJ, "Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect", Neuron, 53, pp.905~918 (2007)
- Carter AR, "Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke", Ann Neurol, 67, pp.365~375 (2010)
- Dilks DD, "Human adult cortical reorganization and consequent visual distortion", J Neurosci, 27, pp.9585~9594 (2007)
- Murase N, "Influence of interhemispheric interactions on motor function in chronic stroke", Ann Neurol, 55, pp.400~409 (2004)
- Heiss WD, "Differential capacity of left and right hemispheric areas for compensation of poststroke aphasia", Ann Neurol, 45, pp.430~438 (1999)
- Bola M, "The second face of blindness: processing speed deficits in the intact visual field after pre- and post-chiasmatic lesions", PLoS One, 8, pp.e63700~ (2013)
- Bola M, "“Sightblind”: perceptual deficits in the “intact” visual field", Front Neurol, 4, pp.80~ (2013)
- Sabel BA, "Vision restoration after brain and retina damage: the “residual vision activation theory”", Prog Brain Res, 192, pp.199~262 (2011)
- Goebel R, "Sustained extrastriate cortical activation without visual awareness revealed by fMRI studies of hemianopic patients", Vision Res, 41, pp.1459~1474 (2001)
- Nelles G, "Brain representation of hemifield stimulation in poststroke visual field defects", Stroke, 33, pp.1286~1293 (2002)
- Schoenfeld MA, "Analysis of pathways mediating preserved vision after striate cortex lesions", Ann Neurol, 52, pp.814~824 (2002)
- Power JD, "Functional network organization of the human brain", Neuron, 72, pp.665~678 (2011)
- Yeo BT, "The organization of the human cerebral cortex estimated by intrinsic functional connectivity", J Neurophysiol, 106, pp.1125~1165 (2011)
- Doucet G, "Brain activity at rest: a multiscale hierarchical functional organization", J Neurophysiol, 105, pp.2753~2763 (2011)
- Hacker CD, "Resting state network estimation in individual subjects", Neuroimage, 82, pp.616~633 (2013)
- Cole MW, "Intrinsic and task-evoked network architectures of the human brain", Neuron, 83, pp.238~251 (2014)
- Gordon EM, "Generation and evaluation of a cortical area parcellation from resting-state correlations", Cereb Cortex, 26, pp.288~303 (2016)
- Siegel JS, "The effects of hemodynamic lag on functional connectivity and behavior after stroke", J Cereb Blood Flow Metab, 36, pp.2162~2176 (2016)
- Siegel JS, "Measuring functional connectivity in stroke: approaches and considerations", J Cereb Blood Flow Metab, 37, pp.2665~2678 (2017)
- Mandeville ET, "Translational MR neuroimaging of stroke and recovery", Transl Stroke Res, 8, pp.22~32 (2017)
- Veldsman M, "Beyond BOLD: optimizing functional imaging in stroke populations", Hum Brain Mapp, 36, pp.1620~1636 (2015)