101
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Lin TH, Chiang CW, Perez-Torres CJ, Sun P, Wallendorf M, Schmidt RE, Cross AH, Song SK. Diffusion MRI quantifies early axonal loss in the presence of nerve swelling. J Neuroinflammation 2017; 14:78. [PMID: 28388913 PMCID: PMC5384143 DOI: 10.1186/s12974-017-0852-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/26/2017] [Indexed: 11/10/2022] Open
Abstract
Background Magnetic resonance imaging markers have been widely used to detect and quantify white matter pathologies in multiple sclerosis. We have recently developed a diffusion basis spectrum imaging (DBSI) to distinguish and quantify co-existing axonal injury, demyelination, and inflammation in multiple sclerosis patients and animal models. It could serve as a longitudinal marker for axonal loss, a primary cause of permanent neurological impairments and disease progression. Methods Eight 10-week-old female C57BL/6 mice underwent optic nerve DBSI, followed by a week-long recuperation prior to active immunization for experimental autoimmune encephalomyelitis (EAE). Visual acuity of all mice was assessed daily. Longitudinal DBSI was performed in mouse optic nerves at baseline (naïve, before immunization), before, during, and after the onset of optic neuritis. Tissues were perfusion fixed after final in vivo scans. The correlation between DBSI detected pathologies and corresponding immunohistochemistry markers was quantitatively assessed. Results In this cohort of EAE mice, monocular vision impairment occurred in all animals. In vivo DBSI detected, differentiated, and quantified optic nerve inflammation, demyelination, and axonal injury/loss, correlating nerve pathologies with visual acuity at different time points of acute optic neuritis. DBSI quantified, in the presence of optic nerve swelling, ~15% axonal loss at the onset of optic neuritis in EAE mice. Conclusions Our findings support the notion that axonal loss could occur early in EAE mice. DBSI detected pathologies in the posterior visual pathway unreachable by optical coherence tomography and without confounding inflammation induced optic nerve swelling. DBSI could thus decipher the interrelationship among various pathological components and the role each plays in disease progression. Quantification of the rate of axonal loss could potentially serve as the biomarker to predict treatment outcome and to determine when progressive disease starts.
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Affiliation(s)
- Tsen-Hsuan Lin
- Radiology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Chia-Wen Chiang
- Radiology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.,Current Address: Institute of Biomedical Engineering and Nanomedicine, National Health Research Institute, 35 Keyan Road, Zhunan, Miaoli County, 35053, Taiwan
| | - Carlos J Perez-Torres
- Radiology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.,Current Address: School of Health Sciences, Purdue University, 550 W Stadium Ave, West Lafayette, IN, 47907, USA
| | - Peng Sun
- Radiology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Michael Wallendorf
- Biostatistics, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Robert E Schmidt
- Pathology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Anne H Cross
- Neurology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Sheng-Kwei Song
- Radiology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. .,Hope Center for Neurological Disorders, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. .,Biomedical Engineering, Washington University, 1 Brookings Dr, St. Louis, MO, 63130, USA. .,Biomedical MR Laboratory, Washington University School of Medicine, Campus Box 8227, Room 2313, 4525 Scott Ave, St Louis, MO, 63110, USA.
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102
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Gangolli M, Holleran L, Hee Kim J, Stein TD, Alvarez V, McKee AC, Brody DL. Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter. Neuroimage 2017; 153:152-167. [PMID: 28365421 DOI: 10.1016/j.neuroimage.2017.03.059] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 03/24/2017] [Accepted: 03/29/2017] [Indexed: 12/14/2022] Open
Abstract
Advanced diffusion MRI methods have recently been proposed for detection of pathologies such as traumatic axonal injury and chronic traumatic encephalopathy which commonly affect complex cortical brain regions. However, radiological-pathological correlations in human brain tissue that detail the relationship between the multi-component diffusion signal and underlying pathology are lacking. We present a nonlinear voxel based two dimensional coregistration method that is useful for matching diffusion signals to quantitative metrics of high resolution histological images. When validated in ex vivo human cortical tissue at a 250×250×500 μm spatial resolution, the method proved robust in correlations between generalized q-sampling imaging and histologically based white matter fiber orientations, with r=0.94 for the primary fiber direction and r=0.88 for secondary fiber direction in each voxel. Importantly, however, the correlation was substantially worse with reduced spatial resolution or with fiber orientations derived using a diffusion tensor model. Furthermore, we have detailed a quantitative histological metric of white matter fiber integrity termed power coherence capable of distinguishing architecturally complex but intact white matter from disrupted white matter regions. These methods may allow for more sensitive and specific radiological-pathological correlations of neurodegenerative diseases affecting complex gray and white matter.
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Affiliation(s)
- Mihika Gangolli
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA
| | - Laurena Holleran
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joong Hee Kim
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - Victor Alvarez
- Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - David L Brody
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.
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103
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Wang S, Peterson DJ, Wang Y, Wang Q, Grabowski TJ, Li W, Madhyastha TM. Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults. Front Neurol 2017; 8:118. [PMID: 28424656 PMCID: PMC5372828 DOI: 10.3389/fneur.2017.00118] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 03/14/2017] [Indexed: 11/20/2022] Open
Abstract
As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such models are diffusion kurtosis imaging (DKI) and diffusion basis spectrum imaging (DBSI). It is not clear which DKI parameters are most closely related to DBSI parameters, so in the interest of enabling comparisons between DKI and DBSI studies, we conducted an empirical survey of the interrelation of these models in 12 healthy volunteers using the same diffusion acquisition. We found that mean kurtosis is positively associated with the DBSI fiber ratio and negatively associated with the hindered ratio. This was primarily driven by the radial component of kurtosis. The axial component of kurtosis was strongly and specifically correlated with the restricted ratio. The joint spatial distributions of DBSI and DKI parameters are tissue-dependent and stable across healthy individuals. Our contribution is a better understanding of the biological interpretability of the parameters generated by the two models in healthy individuals.
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Affiliation(s)
- Sijia Wang
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Department of Radiology, University of Washington, Seattle, WA, USA
| | | | - Yong Wang
- Department of Obstetrics and Gynecology, Washington University, St. Louis, MO, USA.,Department of Radiology, Washington University, St. Louis, MO, USA.,Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Qing Wang
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Thomas J Grabowski
- Department of Radiology, University of Washington, Seattle, WA, USA.,Department of Neurology, University of Washington, Seattle, WA, USA
| | - Wenbin Li
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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104
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Cohen Y, Anaby D, Morozov D. Diffusion MRI of the spinal cord: from structural studies to pathology. NMR IN BIOMEDICINE 2017; 30:e3592. [PMID: 27598689 DOI: 10.1002/nbm.3592] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 06/01/2016] [Accepted: 07/05/2016] [Indexed: 05/27/2023]
Abstract
Diffusion MRI is extensively used to study brain microarchitecture and pathologies, and water diffusion appears highly anisotropic in the white matter (WM) of the spinal cord (SC). Despite these facts, the use of diffusion MRI to study the SC, which has increased in recent years, is much less common than that in the brain. In the present review, after a brief outline of early studies of diffusion MRI (DWI) and diffusion tensor MRI (DTI) of the SC, we provide a short survey on DTI and on diffusion MRI methods beyond the tensor that have been used to study SC microstructure and pathologies. After introducing the porous view of WM and describing the q-space approach and q-space diffusion MRI (QSI), we describe other methodologies that can be applied to study the SC. Selected applications of the use of DTI, QSI, and other more advanced diffusion MRI methods to study SC microstructure and pathologies are presented, with some emphasis on the use of less conventional diffusion methodologies. Because of length constraints, we concentrate on structural studies and on a few selected pathologies. Examples of the use of diffusion MRI to study dysmyelination, demyelination as in experimental autoimmune encephalomyelitis and multiple sclerosis, amyotrophic lateral sclerosis, and traumatic SC injury are presented. We conclude with a brief summary and a discussion of challenges and future directions for diffusion MRI of the SC. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Yoram Cohen
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Debbie Anaby
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Darya Morozov
- The Sackler School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
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105
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Axonal disruption in white matter underlying cortical sulcus tau pathology in chronic traumatic encephalopathy. Acta Neuropathol 2017; 133:367-380. [PMID: 28214960 DOI: 10.1007/s00401-017-1686-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 02/14/2017] [Accepted: 02/15/2017] [Indexed: 12/14/2022]
Abstract
Chronic traumatic encephalopathy (CTE) is a progressive degenerative disorder associated with repetitive traumatic brain injury. One of the primary defining neuropathological lesions in CTE, based on the first consensus conference, is the accumulation of hyperphosphorylated tau in gray matter sulcal depths. Post-mortem CTE studies have also reported myelin loss, axonal injury and white matter degeneration. Currently, the diagnosis of CTE is restricted to post-mortem neuropathological analysis. We hypothesized that high spatial resolution advanced diffusion MRI might be useful for detecting white matter microstructural changes directly adjacent to gray matter tau pathology. To test this hypothesis, formalin-fixed post-mortem tissue blocks from the superior frontal cortex of ten individuals with an established diagnosis of CTE were obtained from the Veterans Affairs-Boston University-Concussion Legacy Foundation brain bank. Advanced diffusion MRI data was acquired using an 11.74 T MRI scanner at Washington University with 250 × 250 × 500 µm3 spatial resolution. Diffusion tensor imaging, diffusion kurtosis imaging and generalized q-sampling imaging analyses were performed in a blinded fashion. Following MRI acquisition, tissue sections were tested for phosphorylated tau immunoreactivity in gray matter sulcal depths. Axonal disruption in underlying white matter was assessed using two-dimensional Fourier transform analysis of myelin black gold staining. A robust image co-registration method was applied to accurately quantify the relationship between diffusion MRI parameters and histopathology. We found that white matter underlying sulci with high levels of tau pathology had substantially impaired myelin black gold Fourier transform power coherence, indicating axonal microstructural disruption (r = -0.55, p = 0.0015). Using diffusion tensor MRI, we found that fractional anisotropy (FA) was modestly (r = 0.53) but significantly (p = 0.0012) correlated with axonal disruption, where lower FA was associated with greater axonal disruption in white matter directly adjacent to hyperphosphorylated tau positive sulci. In summary, our findings indicate that axonal disruption and tau pathology are closely associated, and high spatial resolution ex vivo diffusion MRI has the potential to detect microstructural alterations observed in CTE tissue. Future studies will be required to determine whether this approach can be applied to living people.
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106
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Diffusion Assessment of Cortical Changes, Induced by Traumatic Spinal Cord Injury. Brain Sci 2017; 7:brainsci7020021. [PMID: 28218643 PMCID: PMC5332964 DOI: 10.3390/brainsci7020021] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 12/14/2016] [Accepted: 02/14/2017] [Indexed: 01/21/2023] Open
Abstract
Promising treatments are being developed to promote functional recovery after spinal cord injury (SCI). Magnetic resonance imaging, specifically Diffusion Tensor Imaging (DTI) has been shown to non-invasively measure both axonal and myelin integrity following traumatic brain and SCI. A novel data-driven model-selection algorithm known as Diffusion Basis Spectrum Imaging (DBSI) has been proposed to more accurately delineate white matter injury. The objective of this study was to investigate whether DTI/DBSI changes that extend to level of the cerebral peduncle and internal capsule following a SCI could be correlated with clinical function. A prospective non-randomized cohort of 23 patients with chronic spinal cord injuries and 17 control subjects underwent cranial diffusion weighted imaging, followed by whole brain DTI and DBSI computations. Region-based analyses were performed on cerebral peduncle and internal capsule. Three subgroups of patients were included in the region-based analysis. Tract-Based Spatial Statistics (TBSS) was also applied to allow whole-brain white matter analysis between controls and all patients. Functional assessments were made using International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) as modified by the American Spinal Injury Association (ASIA) Scale. Whole brain white matter analysis using TBSS finds no statistical difference between controls and all patients. Only cervical ASIA A/B patients in cerebral peduncle showed differences from controls in DTI and DBSI results with region-based analysis. Cervical ASIA A/B SCI patients had higher levels of axonal injury and edema/tissue loss as measured by DBSI at the level of the cerebral peduncle. DTI Fractional Anisotropy (FA), Axial Diffusivity (AD) and Radial Diffusivity (RD) was able to detect differences in cervical ASIA A/B patients, but were non-specific to pathologies. Increased water fraction indicated by DBSI non-restricted isotropic diffusion fraction in the cerebral peduncle, explains the simultaneously increased DTI AD and DTI RD values. Our results further demonstrate the utility of DTI to detect disruption in axonal integrity in white matter, yet a clear shortcoming in differentiating true axonal injury from inflammation/tissue loss. Our results suggest a preservation of axonal integrity at the cortical level and has implications for future regenerative clinical trials.
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107
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Loi RQ, Leyden KM, Balachandra A, Uttarwar V, Hagler DJ, Paul BM, Dale AM, White NS, McDonald CR. Restriction spectrum imaging reveals decreased neurite density in patients with temporal lobe epilepsy. Epilepsia 2016; 57:1897-1906. [PMID: 27735051 DOI: 10.1111/epi.13570] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Diffusion tensor imaging (DTI) has become a popular tool for delineating the location and extent of white matter injury in temporal lobe epilepsy (TLE). However, DTI yields nonspecific measures that are confounded by changes occurring within both the intracellular and extracellular environments. This study investigated whether an advanced diffusion method, restriction spectrum imaging (RSI) could provide a more robust measure of white matter injury in TLE relative to DTI due to RSI's ability to separate intraaxonal diffusion (i.e., neurite density; ND) from diffusion associated with extraaxonal factors (e.g., inflammation; crossing fibers). METHODS RSI and DTI scans were obtained on 21 patients with TLE and 11 age-matched controls. RSI-derived maps of ND, isotropic-hindered (IH) and isotropic-free (IF) water, and crossing fibers (CFs) were compared to DTI-derived fractional anisotropy (FA) maps. Voxelwise and tract-based analyses were performed comparing patients with TLE to controls on each diffusion metric. RESULTS Reductions in FA were seen primarily in frontotemporal white matter in TLE, and they were most pronounced proximal to the seizure focus. Reductions in ND corresponded to those seen in the FA maps; however, ND reductions were greater in magnitude, more lateralized to the epileptogenic hemisphere, and showed a broader pattern. Increases in IF/IH and effects from CFs also contributed to reduced FA in the ipsilateral parahippocampal cingulum and fornix, with decreases in IH extending into extratemporal regions. Reduced ND of the uncinate fasciculus was associated with longer disease duration, whereas FA was not associated with any clinical variables. SIGNIFICANCE RSI may provide a more specific measure of white matter pathology in TLE, distinguishing regions primarily affected by axonal/myelin loss from those where CFs and increases in extracellular water also play a role. By providing a more specific measure of axonal/myelin loss, RSI-derived ND may better reflect overall white matter burden in epilepsy.
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Affiliation(s)
- Richard Q Loi
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A
| | - Kelly M Leyden
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A
| | - Akshara Balachandra
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A
| | - Vedang Uttarwar
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A
| | - Donald J Hagler
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A.,Department of Radiology, University of California, San Diego, La Jolla, California, U.S.A
| | - Brianna M Paul
- Department of Neurology, University of California, San Francisco, California, U.S.A.,UCSF Comprehensive Epilepsy Center, University of California, San Francisco, California, U.S.A
| | - Anders M Dale
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A.,Department of Radiology, University of California, San Diego, La Jolla, California, U.S.A
| | - Nathan S White
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A.,Department of Radiology, University of California, San Diego, La Jolla, California, U.S.A
| | - Carrie R McDonald
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, U.S.A.,Department of Psychiatry, University of California, San Diego, La Jolla, CA, U.S.A
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108
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Cross AH, Song SK. "A new imaging modality to non-invasively assess multiple sclerosis pathology". J Neuroimmunol 2016; 304:81-85. [PMID: 27773433 DOI: 10.1016/j.jneuroim.2016.10.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/30/2016] [Accepted: 10/04/2016] [Indexed: 11/20/2022]
Abstract
We describe a novel imaging method to assess central nervous system pathology called "Diffusion Basis Spectrum Imaging" (DBSI). Diffusion tensor imaging (DTI) has been widely used to estimate axonpathology and demyelination. However, in the settings of acute inflammation and chronic tissue loss asare common in multiple sclerosis, DTI signals can lead to false interpretations. DBSI is a computationallynovel method that separates isotropic from anisotropic components in imaging voxels. Isotropicdiffusion is believed to reflect inflammatory components (cells, edema), as well as intrinsic cells andextracellular space. DBSI enables the measurement of axial and radial diffusivities within the anisotropiccomponents of imaging voxels, which reflect the integrity of axon fibers and myelin, respectively.
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Affiliation(s)
- Anne H Cross
- Department of Neurology, Washington University School of Medicine, Campus Box 8111, 660 S. Euclid Avenue, St. Louis 63110, MO, USA.
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, Campus Box 8225, 660 S. Euclid Avenue, St. Louis 63110, MO, USA
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109
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Klistorner A, Wang C, Fofanova V, Barnett MH, Yiannikas C, Parratt J, You Y, Graham SL. Diffusivity in multiple sclerosis lesions: At the cutting edge? NEUROIMAGE-CLINICAL 2016; 12:219-26. [PMID: 27489769 PMCID: PMC4950592 DOI: 10.1016/j.nicl.2016.07.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 06/04/2016] [Accepted: 07/04/2016] [Indexed: 12/22/2022]
Abstract
Background Radial Diffusivity (RD) has been suggested as a promising biomarker associated with the level of myelination in MS lesions. However, the level of RD within the lesion is affected not only by loss of myelin sheaths, but also by the degree of tissue destruction. This may lead to exaggeration of diffusivity measures, potentially masking the effect of remyelination. Objective To test the hypothesis that the T2 hyperintense lesion edge that extends beyond the T1 hypointense lesion core is less affected by tissue loss, and therefore a more appropriate target for imaging biomarker development targeting de- and re-myelination. Method Pre- and post-gadolinium (Gd) enhanced T1, T2 and DTI images were acquired from 75 consecutive RRMS patients. The optic radiation (OR) was identified in individual patients using a template-based method. T2 lesions were segmented into T1-hypointense and T1-isointense areas and lesion masks intersected with the OR. Average Radial, Axial and Mean diffusivity (RD, AD and MD) and fractional anisotropy (FA) were calculated for lesions of the entire brain and the OR. In addition, Gd enhancing lesions were excluded from the analysis. Results 86% of chronic T2 lesions demonstrated hypointense areas on T1-weighted images, which typically occupied the central part of each T2 lesion, taking about 40% of lesional volume. The T1-isointense component of the T2 lesion was most commonly seen as a peripheral ring of relatively constant thickness (“T2-rim”). While changes of diffusivity between adjacent normal appearing white matter and the “T2-rim” demonstrated a disproportionally high elevation of RD compare to AD, the increase of water diffusion was largely isointense between the “T2-rim” and T1-hypointense parts of the lesion. Conclusion Distinct patterns of diffusivity within the central and peripheral components of MS lesions suggest that axonal loss dominates in the T1 hypointense core. The effects of de/remyelination may be more readily detected in the “T2-rim”, where there is relative preservation of structural integrity. Identifying and separating those patterns has an important implication for clinical trials of both neuroprotective and, in particular, remyelinating agents. Distinct patterns of diffusivity within the central and peripheral components of MS lesions were identified. Axonal loss is likely to dominate the T1 hypointense core. The effects of de/remyelination may be more readily detected in the “T2-rim”.
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Affiliation(s)
- Alexander Klistorner
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, Australia
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Corresponding author at: Save Sight Institute, University of Sydney, 8 Macquarie St. Sydney, NSW 2000, Australia.Save Sight InstituteUniversity of Sydney8 Macquarie St. SydneyNSW2000Australia
| | - Chenyu Wang
- Brain and Mind Research Institute, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Vera Fofanova
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Michael H. Barnett
- Brain and Mind Research Institute, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | | | - John Parratt
- Royal North Shore Hospital, Sydney, NSW, Australia
| | - Yuyi You
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, Australia
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Stuart L. Graham
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
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110
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Advanced neuroimaging applied to veterans and service personnel with traumatic brain injury: state of the art and potential benefits. Brain Imaging Behav 2016; 9:367-402. [PMID: 26350144 DOI: 10.1007/s11682-015-9444-y] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Traumatic brain injury (TBI) remains one of the most prevalent forms of morbidity among Veterans and Service Members, particularly for those engaged in the conflicts in Iraq and Afghanistan. Neuroimaging has been considered a potentially useful diagnostic and prognostic tool across the spectrum of TBI generally, but may have particular importance in military populations where the diagnosis of mild TBI is particularly challenging, given the frequent lack of documentation on the nature of the injuries and mixed etiologies, and highly comorbid with other disorders such as post-traumatic stress disorder, depression, and substance misuse. Imaging has also been employed in attempts to understand better the potential late effects of trauma and to evaluate the effects of promising therapeutic interventions. This review surveys the use of structural and functional neuroimaging techniques utilized in military studies published to date, including the utilization of quantitative fluid attenuated inversion recovery (FLAIR), susceptibility weighted imaging (SWI), volumetric analysis, diffusion tensor imaging (DTI), magnetization transfer imaging (MTI), positron emission tomography (PET), magnetoencephalography (MEG), task-based and resting state functional MRI (fMRI), arterial spin labeling (ASL), and magnetic resonance spectroscopy (MRS). The importance of quality assurance testing in current and future research is also highlighted. Current challenges and limitations of each technique are outlined, and future directions are discussed.
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111
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Murphy RK, Sun P, Han RH, Griffin KJ, Wagner J, Yarbrough CK, Wright NM, Dorward IG, Riew KD, Kelly MP, Santiago P, Zebala LP, Trinkaus K, Ray WZ, Song SK. Fractional anisotropy to quantify cervical spondylotic myelopathy severity. J Neurosurg Sci 2016; 62:406-412. [PMID: 27149369 DOI: 10.23736/s0390-5616.16.03678-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND A number of clinical tools exist for measuring the severity of cervical spondylotic myelopathy (CSM). Several studies have recently described the use of non-invasive imaging biomarkers to assess severity of disease. These imaging markers may provide an additional tool to measure disease progression and represent a surrogate marker of response to therapy. Correlating these imaging biomarkers with clinical quantitative measures is critical for accurate therapeutic stratification and quantification of axonal injury. METHODS Fourteen patients and seven healthy control subjects were enrolled. Patients were classified as mildly (7) or moderately (7) impaired based on Modified Japanese Orthopedic Association Scale. All patients underwent diffusion tensor imaging (DTI) and diffusion basis spectrum imaging (DBSI) analyses. In addition to standard neurological examination, all participants underwent 30-m Walking Test, 9-hole Peg Test (9HPT), grip strength, key pinch, and vibration sensation thresholds in the index finger and great toe. Differences in assessment scores between controls, mild and moderate CSM patients were correlated with DTI and DBSI derived fractional anisotropy (FA). RESULTS Clinically, 30-meter walking times were significantly longer in the moderately impaired group than in the control group. Maximum 9HPT times were significantly longer in both the mildly and moderately impaired groups as compared to normal controls. Scores on great toe vibration sensation thresholds were lower in the mildly impaired and moderately impaired groups as compared to controls. We found no clear evidence for any differences in minimum grip strength, minimum key pinch, or index finger vibration sensation thresholds. There were moderately strong associations between DTI and DBSI FA values and 30-meter walking times and 9HPT. CONCLUSIONS The 30-m Walking Test and 9HPT were both moderately to strongly associated with DTI/DBSI FA values. FA may represent an additional measure to help differentiate and stratify patients with mild or moderate CSM.
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Affiliation(s)
- Rory K Murphy
- Department of Neurosurgery, Washington University, St. Louis, MO, USA
| | - Peng Sun
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Rowland H Han
- Washington University School of Medicine, St. Louis, MO, USA
| | - Kim J Griffin
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Joanne Wagner
- Department of Physical Therapy and Athletic Training, Saint Louis University, St. Louis, MO, USA
| | | | - Neill M Wright
- Department of Neurosurgery, Washington University, St. Louis, MO, USA
| | - Ian G Dorward
- Department of Neurosurgery, Washington University, St. Louis, MO, USA
| | - K Daniel Riew
- Department of Orthopedic Surgery, Columbia University, New York, NY, USA
| | - Michael P Kelly
- Department of Orthopedic Surgery, Washington University, St. Louis, MO, USA
| | - Paul Santiago
- Department of Neurosurgery, Washington University, St. Louis, MO, USA
| | - Lukas P Zebala
- Department of Orthopedic Surgery, Washington University, St. Louis, MO, USA
| | - Kathryn Trinkaus
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Wilson Z Ray
- Department of Neurosurgery, Washington University, St. Louis, MO, USA -
| | - Sheng-Kwei Song
- Department of Radiology, Washington University, St. Louis, MO, USA
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Huang SY, Tobyne SM, Nummenmaa A, Witzel T, Wald LL, McNab JA, Klawiter EC. Characterization of Axonal Disease in Patients with Multiple Sclerosis Using High-Gradient-Diffusion MR Imaging. Radiology 2016; 280:244-51. [PMID: 26859256 DOI: 10.1148/radiol.2016151582] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To evaluate the ability of high-gradient-diffusion magnetic resonance (MR) imaging by using gradient strengths of up to 300 mT/m to depict axonal disease in lesions and normal-appearing white matter (NAWM) in patients with multiple sclerosis (MS) and to compare high-gradient-diffusion MR findings in these patients with those in healthy control subjects. Materials and Methods In this HIPAA-compliant institutional review board-approved prospective study in which all subjects provided written informed consent, six patients with relapsing-remitting MS and six healthy control subjects underwent diffusion-weighted imaging with a range of diffusion weightings performed with a 3-T human MR imager by using gradient strengths of up to 300 mT/m. A model of intra-axonal, extra-axonal, and free water diffusion was fitted to obtain estimates of axon diameter and density. Differences in axon diameter and density between lesions and NAWM in patients with MS were assessed by using the nonparametric Wilcoxon matched-pairs signed rank test, and differences between NAWM in subjects with MS and white matter in healthy control subjects were assessed by using the Mann-Whitney U test. Results MS lesions showed increased mean axon diameter (10.3 vs 7.9 μm in the genu, 10.4 vs 9.3 μm in the body, and 10.6 vs 8.2 μm in the splenium; P < .05) and decreased axon density ([0.48 vs 1.1] × 10(10)/m(2) in the genu, [0.40 vs 0.70] × 10(10)/m(2) in the body, and [0.35 vs 1.1] × 10(10)/m(2) in the splenium; P < .05) compared with adjacent NAWM. No significant difference in mean axon diameter or axon density was detected between NAWM in subjects with MS and white matter in healthy control subjects. Conclusion High-gradient-diffusion MR imaging using gradient strengths of up to 300 mT/m can be used to characterize axonal disease in patients with MS, with results that agree with known trends from neuropathologic data showing increased axon diameter and decreased axon density in MS lesions when compared with NAWM. (©) RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Susie Y Huang
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Sean M Tobyne
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Aapo Nummenmaa
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Thomas Witzel
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Lawrence L Wald
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Jennifer A McNab
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
| | - Eric C Klawiter
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, Charlestown, MA 02129 (S.Y.H., A.N., T.W., L.L.W.); Department of Neurology, Massachusetts General Hospital, Boston, Mass (S.M.T., E.C.K.); and Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, Calif (J.A.M.)
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Bar-Or A. Multiple sclerosis and related disorders: evolving pathophysiologic insights. Lancet Neurol 2015; 15:9-11. [PMID: 26700897 DOI: 10.1016/s1474-4422(15)00342-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 11/09/2015] [Indexed: 01/14/2023]
Affiliation(s)
- Amit Bar-Or
- McGill University, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada.
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114
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Barakat N, Gorman MP, Benson L, Becerra L, Borsook D. Pain and spinal cord imaging measures in children with demyelinating disease. NEUROIMAGE-CLINICAL 2015; 9:338-47. [PMID: 26509120 PMCID: PMC4588416 DOI: 10.1016/j.nicl.2015.08.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 08/19/2015] [Accepted: 08/28/2015] [Indexed: 12/15/2022]
Abstract
Pain is a significant problem in diseases affecting the spinal cord, including demyelinating disease. To date, studies have examined the reliability of clinical measures for assessing and classifying the severity of spinal cord injury (SCI) and also to evaluate SCI-related pain. Most of this research has focused on adult populations and patients with traumatic injuries. Little research exists regarding pediatric spinal cord demyelinating disease. One reason for this is the lack of reliable and useful approaches to measuring spinal cord changes since currently used diagnostic imaging has limited specificity for quantitative measures of demyelination. No single imaging technique demonstrates sufficiently high sensitivity or specificity to myelin, and strong correlation with clinical measures. However, recent advances in diffusion tensor imaging (DTI) and magnetization transfer imaging (MTI) measures are considered promising in providing increasingly useful and specific information on spinal cord damage. Findings from these quantitative imaging modalities correlate with the extent of demyelination and remyelination. These techniques may be of potential use for defining the evolution of the disease state, how it may affect specific spinal cord pathways, and contribute to the management of pediatric demyelination syndromes. Since pain is a major presenting symptom in patients with transverse myelitis, the disease is an ideal model to evaluate imaging methods to define these regional changes within the spinal cord. In this review we summarize (1) pediatric demyelinating conditions affecting the spinal cord; (2) their distinguishing features; and (3) current diagnostic and classification methods with particular focus on pain pathways. We also focus on concepts that are essential in developing strategies for the detection, monitoring, treatment and repair of pediatric myelitis. Pain is a major presenting symptom in children with myelitis. Currently used imaging has limited sensitivity to myelin content. We provide a summary on pediatric demyelinating conditions. We review pain involvement and pathways affected by demyelination. We review imaging modalities for the diagnosis and monitoring of myelitis.
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Affiliation(s)
- Nadia Barakat
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, USA
| | - Mark P Gorman
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Leslie Benson
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Lino Becerra
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, USA ; Department of Radiology, Boston Children's Hospital, Boston, MA, USA
| | - David Borsook
- Center for Pain and the Brain, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, USA ; Department of Radiology, Boston Children's Hospital, Boston, MA, USA
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Ho LC, Wang B, Conner IP, van der Merwe Y, Bilonick RA, Kim SG, Wu EX, Sigal IA, Wollstein G, Schuman JS, Chan KC. In Vivo Evaluation of White Matter Integrity and Anterograde Transport in Visual System After Excitotoxic Retinal Injury With Multimodal MRI and OCT. Invest Ophthalmol Vis Sci 2015; 56:3788-800. [PMID: 26066747 DOI: 10.1167/iovs.14-15552] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
PURPOSE Excitotoxicity has been linked to the pathogenesis of ocular diseases and injuries and may involve early degeneration of both anterior and posterior visual pathways. However, their spatiotemporal relationships remain unclear. We hypothesized that the effects of excitotoxic retinal injury (ERI) on the visual system can be revealed in vivo by diffusion tensor magnetic resonance imagining (DTI), manganese-enhanced magnetic resonance imagining (MRI), and optical coherence tomography (OCT). METHODS Diffusion tensor MRI was performed at 9.4 Tesla to monitor white matter integrity changes after unilateral N-methyl-D-aspartate (NMDA)-induced ERI in six Sprague-Dawley rats and six C57BL/6J mice. Additionally, four rats and four mice were intravitreally injected with saline to compare with NMDA-injected animals. Optical coherence tomography of the retina and manganese-enhanced MRI of anterograde transport were evaluated and correlated with DTI parameters. RESULTS In the rat optic nerve, the largest axial diffusivity decrease and radial diffusivity increase occurred within the first 3 and 7 days post ERI, respectively, suggestive of early axonal degeneration and delayed demyelination. The optic tract showed smaller directional diffusivity changes and weaker DTI correlations with retinal thickness compared with optic nerve, indicative of anterograde degeneration. The splenium of corpus callosum was also reorganized at 4 weeks post ERI. The DTI profiles appeared comparable between rat and mouse models. Furthermore, the NMDA-injured visual pathway showed reduced anterograde manganese transport, which correlated with diffusivity changes along but not perpendicular to optic nerve. CONCLUSIONS Diffusion tensor MRI, manganese-enhanced MRI, and OCT provided an in vivo model system for characterizing the spatiotemporal changes in white matter integrity, the eye-brain relationships and structural-physiological relationships in the visual system after ERI.
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Affiliation(s)
- Leon C Ho
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 2UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylva
| | - Bo Wang
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University
| | - Ian P Conner
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University
| | - Yolandi van der Merwe
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 2UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylva
| | - Richard A Bilonick
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University
| | - Seong-Gi Kim
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 6McGowan Institute for Regenerative
| | - Ed X Wu
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Ian A Sigal
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University
| | - Gadi Wollstein
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 5Louis J. Fox Center for Vision Restoration, University of Pittsburgh, Pi
| | - Joel S Schuman
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 4Department of Bioengineering, Swanson School of Engineering, University
| | - Kevin C Chan
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States 2UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylva
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