33 results on '"Levendovszky, Swati Rane"'
Search Results
2. Outer Retinal Thinning is Associated With Brain Atrophy in Early Age-Related Macular Degeneration
- Author
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Jiang, Yu, Swain, Thomas, Gim, Nayoon, Blazes, Marian, Donald, Christine Mac, Rokem, Ariel, Owen, Julia P., Balu, Niranjan, Clark, Mark E., Goerdt, Lukas, McGwin, Gerald, Hunt, David, Curcio, Christine A., Levendovszky, Swati Rane, Trittschuh, Emily H., Owsley, Cynthia, and Lee, Cecilia S.
- Published
- 2025
- Full Text
- View/download PDF
3. Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer's disease
- Author
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Lila, Eardi, Zhang, Wenbo, and Levendovszky, Swati Rane
- Subjects
Statistics - Methodology ,Statistics - Applications ,62R10 - Abstract
We introduce a novel framework for the classification of functional data supported on nonlinear, and possibly random, manifold domains. The motivating application is the identification of subjects with Alzheimer's disease from their cortical surface geometry and associated cortical thickness map. The proposed model is based upon a reformulation of the classification problem as a regularized multivariate functional linear regression model. This allows us to adopt a direct approach to the estimation of the most discriminant direction while controlling for its complexity with appropriate differential regularization. Our approach does not require prior estimation of the covariance structure of the functional predictors, which is computationally prohibitive in our application setting. We provide a theoretical analysis of the out-of-sample prediction error of the proposed model and explore the finite sample performance in a simulation setting. We apply the proposed method to a pooled dataset from the Alzheimer's Disease Neuroimaging Initiative and the Parkinson's Progression Markers Initiative. Through this application, we identify discriminant directions that capture both cortical geometric and thickness predictive features of Alzheimer's disease that are consistent with the existing neuroscience literature.
- Published
- 2021
- Full Text
- View/download PDF
4. Frequency drift in MR spectroscopy at 3T.
- Author
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Hui, Steve CN, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie CW, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan SR, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Honda, Shiori, Jacobson, Aaron, Jansen, Jacobus FA, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Nakajima, Shinichiro, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria CG, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy PL, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, and Schembri, Keith
- Subjects
3T ,Frequency drift ,Magnetic resonance spectroscopy ,Multi-site ,Multi-vendor ,Press ,Brain ,Data Analysis ,Databases ,Factual ,Humans ,Magnetic Resonance Imaging ,Magnetic Resonance Spectroscopy ,Clinical Research ,Biomedical Imaging ,Neurology & Neurosurgery ,Medical and Health Sciences ,Psychology and Cognitive Sciences - Abstract
PurposeHeating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites.MethodA standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC).ResultsOf the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI.DiscussionThis study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.
- Published
- 2021
5. Noninvasive, patient-specific computational fluid dynamics simulations of dural venous sinus pressures in idiopathic intracranial hypertension
- Author
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Fillingham, Patrick, Levendovszky, Swati Rane, Andre, Jalal, Bindschadler, Michael, Friedman, Seth, Kurt, Mehmet, Aliseda, Alberto, and Levitt, Michael R.
- Published
- 2023
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6. Medical comorbidities and lower myelin content are associated with poor cognition in young adults with perinatally acquired HIV.
- Author
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Patel, Payal B., Prince, David K., Bolenzius, Jacob, Ch'en, Peter, Chiarella, Jennifer, Kolind, Shannon, Vavasour, Irene, Pedersen, Taylor, Levendovszky, Swati Rane, Spudich, Serena, Marra, Christina, and Paul, Robert
- Published
- 2024
- Full Text
- View/download PDF
7. Frequency drift in MR spectroscopy at 3T
- Author
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Hui, Steve C.N., Mikkelsen, Mark, Zöllner, Helge J., Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A., Barlow, Laura R., Becker, Robert, Berman, Jeffrey I., Berrington, Adam, Bhattacharyya, Pallab K., Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S., Calhoun, Vince D., Castillo, Ryan, Cecil, Kim M., Choi, Yeo Bi, Chu, Winnie C.W., Clarke, William T., Craven, Alexander R., Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W., Dydak, Ulrike, Dyke, Katherine, Edmondson, David A., Ende, Gabriele, Ersland, Lars, Evans, C. John, Fermin, Alan S.R., Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T., Gu, Meng, Harris, Ashley D., Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P., II, Heise, Kirstin-Friederike, Honda, Shiori, Jacobson, Aaron, Jansen, Jacobus F.A., Jenkins, Christopher W., Johnston, Stephen J., Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B., Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J., Machizawa, Maro G., MacMillan, Erin L., Maddock, Richard J., Manzhurtsev, Andrei V., Martinez-Gudino, María L., Miller, Jack J., Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G., Nakajima, Shinichiro, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C.G., Pasaye, Erick H., Peeters, Ronald, Peltier, Scott J., Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C., Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D., Reyes-Madrigal, Francisco, Roberts, Timothy P.L., Robertson, Caroline E., Rosenberg, Jens T., Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G., Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A., Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P., Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T., Wilbur, Timothy K., Willoughby, William R., Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J., Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K.W., Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, and Edden, Richard A.E.
- Published
- 2021
- Full Text
- View/download PDF
8. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids: Update From the 2022 “ ISMRM Imaging Neurofluids Study group” Workshop in Rome
- Author
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Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, van Osch, Matthias J.P., Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, and van Osch, Matthias J.P.
- Abstract
Neurofluids is a term introduced to define all fluids in the brain and spine such as blood, cerebrospinal fluid, and interstitial fluid. Neuroscientists in the past millennium have steadily identified the several different fluid environments in the brain and spine that interact in a synchronized harmonious manner to assure a healthy microenvironment required for optimal neuroglial function. Neuroanatomists and biochemists have provided an incredible wealth of evidence revealing the anatomy of perivascular spaces, meninges and glia and their role in drainage of neuronal waste products. Human studies have been limited due to the restricted availability of noninvasive imaging modalities that can provide a high spatiotemporal depiction of the brain neurofluids. Therefore, animal studies have been key in advancing our knowledge of the temporal and spatial dynamics of fluids, for example, by injecting tracers with different molecular weights. Such studies have sparked interest to identify possible disruptions to neurofluids dynamics in human diseases such as small vessel disease, cerebral amyloid angiopathy, and dementia. However, key differences between rodent and human physiology should be considered when extrapolating these findings to understand the human brain. An increasing armamentarium of noninvasive MRI techniques is being built to identify markers of altered drainage pathways. During the three‐day workshop organized by the International Society of Magnetic Resonance in Medicine that was held in Rome in September 2022, several of these concepts were discussed by a distinguished international faculty to lay the basis of what is known and where we still lack evidence. We envision that in the next decade, MRI will allow imaging of the physiology of neurofluid dynamics and drainage pathways in the human brain to identify true pathological processes underlying disease and to discover new avenues for early diagnoses and treatments including drug delivery.Evidence level
- Published
- 2024
9. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids: Update From the 2022 “<scp>ISMRM</scp> Imaging Neurofluids Study group” Workshop in Rome
- Author
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Agarwal, Nivedita; https://orcid.org/0000-0002-1387-9566, Lewis, Laura D, Hirschler, Lydiane; https://orcid.org/0000-0003-2379-0861, Rivera, Leonardo Rivera; https://orcid.org/0000-0001-5629-8721, Naganawa, Shinji; https://orcid.org/0000-0002-0214-613X, Levendovszky, Swati Rane; https://orcid.org/0000-0001-8863-3168, Ringstad, Geir; https://orcid.org/0000-0003-0919-4510, Klarica, Marijan, Wardlaw, Joanna; https://orcid.org/0000-0002-9812-6642, Iadecola, Costantino; https://orcid.org/0000-0001-9797-073X, Hawkes, Cheryl; https://orcid.org/0000-0001-9007-0130, Carare, Roxana Octavia, Wells, Jack; https://orcid.org/0000-0002-4171-3539, Bakker, Erik N T P; https://orcid.org/0000-0003-2819-5818, Kurtcuoglu, Vartan; https://orcid.org/0000-0003-2665-0995, Bilston, Lynne; https://orcid.org/0000-0001-8250-9019, Nedergaard, Maiken, Mori, Yuki; https://orcid.org/0000-0003-4208-0005, Stoodley, Marcus; https://orcid.org/0000-0002-4207-8493, Alperin, Noam; https://orcid.org/0000-0002-3828-2950, de Leon, Mony, van Osch, Matthias J P; https://orcid.org/0000-0001-7034-8959, Agarwal, Nivedita; https://orcid.org/0000-0002-1387-9566, Lewis, Laura D, Hirschler, Lydiane; https://orcid.org/0000-0003-2379-0861, Rivera, Leonardo Rivera; https://orcid.org/0000-0001-5629-8721, Naganawa, Shinji; https://orcid.org/0000-0002-0214-613X, Levendovszky, Swati Rane; https://orcid.org/0000-0001-8863-3168, Ringstad, Geir; https://orcid.org/0000-0003-0919-4510, Klarica, Marijan, Wardlaw, Joanna; https://orcid.org/0000-0002-9812-6642, Iadecola, Costantino; https://orcid.org/0000-0001-9797-073X, Hawkes, Cheryl; https://orcid.org/0000-0001-9007-0130, Carare, Roxana Octavia, Wells, Jack; https://orcid.org/0000-0002-4171-3539, Bakker, Erik N T P; https://orcid.org/0000-0003-2819-5818, Kurtcuoglu, Vartan; https://orcid.org/0000-0003-2665-0995, Bilston, Lynne; https://orcid.org/0000-0001-8250-9019, Nedergaard, Maiken, Mori, Yuki; https://orcid.org/0000-0003-4208-0005, Stoodley, Marcus; https://orcid.org/0000-0002-4207-8493, Alperin, Noam; https://orcid.org/0000-0002-3828-2950, de Leon, Mony, and van Osch, Matthias J P; https://orcid.org/0000-0001-7034-8959
- Abstract
Neurofluids is a term introduced to define all fluids in the brain and spine such as blood, cerebrospinal fluid, and interstitial fluid. Neuroscientists in the past millennium have steadily identified the several different fluid environments in the brain and spine that interact in a synchronized harmonious manner to assure a healthy microenvironment required for optimal neuroglial function. Neuroanatomists and biochemists have provided an incredible wealth of evidence revealing the anatomy of perivascular spaces, meninges and glia and their role in drainage of neuronal waste products. Human studies have been limited due to the restricted availability of noninvasive imaging modalities that can provide a high spatiotemporal depiction of the brain neurofluids. Therefore, animal studies have been key in advancing our knowledge of the temporal and spatial dynamics of fluids, for example, by injecting tracers with different molecular weights. Such studies have sparked interest to identify possible disruptions to neurofluids dynamics in human diseases such as small vessel disease, cerebral amyloid angiopathy, and dementia. However, key differences between rodent and human physiology should be considered when extrapolating these findings to understand the human brain. An increasing armamentarium of noninvasive MRI techniques is being built to identify markers of altered drainage pathways. During the three‐day workshop organized by the International Society of Magnetic Resonance in Medicine that was held in Rome in September 2022, several of these concepts were discussed by a distinguished international faculty to lay the basis of what is known and where we still lack evidence. We envision that in the next decade, MRI will allow imaging of the physiology of neurofluid dynamics and drainage pathways in the human brain to identify true pathological processes underlying disease and to discover new avenues for early diagnoses and treatments including drug delivery.Evidence level
- Published
- 2024
10. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids:Update From the 2022 “ISMRM Imaging Neurofluids Study group” Workshop in Rome
- Author
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Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, van Osch, Matthias J.P., Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, and van Osch, Matthias J.P.
- Abstract
Neurofluids is a term introduced to define all fluids in the brain and spine such as blood, cerebrospinal fluid, and interstitial fluid. Neuroscientists in the past millennium have steadily identified the several different fluid environments in the brain and spine that interact in a synchronized harmonious manner to assure a healthy microenvironment required for optimal neuroglial function. Neuroanatomists and biochemists have provided an incredible wealth of evidence revealing the anatomy of perivascular spaces, meninges and glia and their role in drainage of neuronal waste products. Human studies have been limited due to the restricted availability of noninvasive imaging modalities that can provide a high spatiotemporal depiction of the brain neurofluids. Therefore, animal studies have been key in advancing our knowledge of the temporal and spatial dynamics of fluids, for example, by injecting tracers with different molecular weights. Such studies have sparked interest to identify possible disruptions to neurofluids dynamics in human diseases such as small vessel disease, cerebral amyloid angiopathy, and dementia. However, key differences between rodent and human physiology should be considered when extrapolating these findings to understand the human brain. An increasing armamentarium of noninvasive MRI techniques is being built to identify markers of altered drainage pathways. During the three-day workshop organized by the International Society of Magnetic Resonance in Medicine that was held in Rome in September 2022, several of these concepts were discussed by a distinguished international faculty to lay the basis of what is known and where we still lack evidence. We envision that in the next decade, MRI will allow imaging of the physiology of neurofluid dynamics and drainage pathways in the human brain to identify true pathological processes underlying disease and to discover new avenues for early diagnoses and treatments including drug delivery. Evid, Neurofluids is a term introduced to define all fluids in the brain and spine such as blood, cerebrospinal fluid, and interstitial fluid. Neuroscientists in the past millennium have steadily identified the several different fluid environments in the brain and spine that interact in a synchronized harmonious manner to assure a healthy microenvironment required for optimal neuroglial function. Neuroanatomists and biochemists have provided an incredible wealth of evidence revealing the anatomy of perivascular spaces, meninges and glia and their role in drainage of neuronal waste products. Human studies have been limited due to the restricted availability of noninvasive imaging modalities that can provide a high spatiotemporal depiction of the brain neurofluids. Therefore, animal studies have been key in advancing our knowledge of the temporal and spatial dynamics of fluids, for example, by injecting tracers with different molecular weights. Such studies have sparked interest to identify possible disruptions to neurofluids dynamics in human diseases such as small vessel disease, cerebral amyloid angiopathy, and dementia. However, key differences between rodent and human physiology should be considered when extrapolating these findings to understand the human brain. An increasing armamentarium of noninvasive MRI techniques is being built to identify markers of altered drainage pathways. During the three-day workshop organized by the International Society of Magnetic Resonance in Medicine that was held in Rome in September 2022, several of these concepts were discussed by a distinguished international faculty to lay the basis of what is known and where we still lack evidence. We envision that in the next decade, MRI will allow imaging of the physiology of neurofluid dynamics and drainage pathways in the human brain to identify true pathological processes underlying disease and to discover new avenues for early diagnoses and treatments including drug delivery. Evidence l
- Published
- 2024
11. Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer's disease.
- Author
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Lila, Eardi, Zhang, Wenbo, Levendovszky, Swati Rane, and Initiative, Alzheimer's Disease Neuroimaging
- Subjects
ALZHEIMER'S disease ,PARKINSON'S disease ,GEOMETRIC surfaces ,SURFACE geometry ,DISCRIMINANT analysis - Abstract
We introduce a novel framework for the classification of functional data supported on nonlinear, and possibly random, manifold domains. The motivating application is the identification of subjects with Alzheimer's disease from their cortical surface geometry and associated cortical thickness map. The proposed model is based upon a reformulation of the classification problem as a regularized multivariate functional linear regression model. This allows us to adopt a direct approach to the estimation of the most discriminant direction while controlling for its complexity with appropriate differential regularization. Our approach does not require prior estimation of the covariance structure of the functional predictors, which is computationally prohibitive in our application setting. We provide a theoretical analysis of the out-of-sample prediction error of the proposed model and explore the finite sample performance in a simulation setting. We apply the proposed method to a pooled dataset from Alzheimer's Disease Neuroimaging Initiative and Parkinson's Progression Markers Initiative. Through this application, we identify discriminant directions that capture both cortical geometric and thickness predictive features of Alzheimer's disease that are consistent with the existing neuroscience literature. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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12. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids: Update From the 2022 “ISMRM Imaging Neurofluids Study group” Workshop in Rome
- Author
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Agarwal, Nivedita, primary, Lewis, Laura D., additional, Hirschler, Lydiane, additional, Rivera, Leonardo Rivera, additional, Naganawa, Shinji, additional, Levendovszky, Swati Rane, additional, Ringstad, Geir, additional, Klarica, Marijan, additional, Wardlaw, Joanna, additional, Iadecola, Costantino, additional, Hawkes, Cheryl, additional, Carare, Roxana Octavia, additional, Wells, Jack, additional, Bakker, Erik N.T.P., additional, Kurtcuoglu, Vartan, additional, Bilston, Lynne, additional, Nedergaard, Maiken, additional, Mori, Yuki, additional, Stoodley, Marcus, additional, Alperin, Noam, additional, de Leon, Mony, additional, and van Osch, Matthias J.P., additional
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- 2024
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13. The use of continuous brain parenchymal impedance dispersion to measure glymphatic function in humans
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Dagum, Paul, primary, Giovangrandi, Laurent, additional, Levendovszky, Swati Rane, additional, Winebaum, Jake J., additional, Singh, Tarandeep, additional, Cho, Yeilim, additional, Kaplan, Robert M., additional, Jaffe, Michael S., additional, Lim, Miranda M., additional, Vandeweerd, Carla, additional, and Iliff, Jeffrey J., additional
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- 2024
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14. Comparison of IVIM MRI measures of brain fluid transport against contrast‐enhanced MRI in the setting of sleep deprivation
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Levendovszky, Swati Rane, primary, Vanderweerd, Carla, additional, Roberts, Mitchell, additional, Singh, Tarandeep, additional, Corbellini, Alejandro, additional, Jaffe, Michael, additional, Lowenkron, Jeffrey, additional, Piantino, Juan, additional, Lim, Miranda, additional, Dagum, Paul, additional, and Iliff, Jeffrey J, additional
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- 2023
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15. MALE AND FEMALE PERSPECTIVES: EXPLORING THE USE OF PASSIVE BRAIN HEALTH TECHNOLOGY TO MEASURE GLYMPHATIC FUNCTION
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Carey, Cyriah, primary, Sappington, Erica, additional, Roberts, Mitchell, additional, Dagum, Paul, additional, Iliff, Jeffrey, additional, Levendovszky, Swati Rane, additional, Jaffee, Michael, additional, and VandeWeerd, Carla, additional
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- 2023
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16. An exploratory analysis of the relationship between cerebral flood flow, mood, and fluid cognition in older adults
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Farris, Kristen M, primary, Ashford, Nathanial K, additional, Miglani, Jasroop K, additional, Parsey, Carolyn M, additional, Levendovszky, Swati Rane, additional, and Hanson, Angela J, additional
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- 2023
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17. Combined DTI and NODDI Scalars Improves Understanding of At‐Risk Tissue in and Around White Matter Hyperintensities
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Sudhakar, Tejaswi D, primary, Anderson, Cole E, additional, Peskind, Elaine R, additional, Li, Ge, additional, Iliff, Jeffrey J, additional, and Levendovszky, Swati Rane, additional
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- 2023
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18. ASSOCIATION OF RAPID EYE MOVEMENT SLEEP AND APOE PROTEOTYPE TO COGNITIVE PERFORMANCE IN OLDER ADULTS
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Hammel, Edward, primary, Roberts, Mitchell, additional, Sappington, Erica, additional, Dagum, Paul, additional, Iliff, Jeffrey, additional, Levendovszky, Swati Rane, additional, Lowenkron, Jeff, additional, and VandeWeerd, Carla, additional
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- 2023
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19. EXAMINING THE PREVALENCE OF UNDIAGNOSED SLEEP APNEA AND ITS ASSOCIATION WITH BLOOD BIOMARKERS FOR ALZHEIMER’S
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Roberts, Mitchell, primary, Sappington, Erica, additional, Jaffee, Michael, additional, Lowenkron, Jeff, additional, Dagum, Paul, additional, Iliff, Jeffrey, additional, Levendovszky, Swati Rane, additional, and VandeWeerd, Carla, additional
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- 2023
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20. Noninvasive and remote measurement of sleep‐active glymphatic function in the human brain by dynamic impedance spectro‐tomography
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Iliff, Jeffrey J, primary, Levendovszky, Swati Rane, additional, Vanderweerd, Carla, additional, Jaffe, Michael, additional, Lowenkron, Jeffrey, additional, Singh, Tarandeep, additional, Giovangrandi, Laurent, additional, Lim, Miranda, additional, and Dagum, Paul, additional
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- 2023
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21. ASSOCIATIONS BETWEEN THE GERIATRIC DEPRESSION SCALE AND APNEA-HYPOPNEA INDEX IN OLDER ADULTS
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Persad, Alyssa, primary, Hammel, Edward, additional, Roberts, Mitchell, additional, Sappington, Erica, additional, Dagum, Paul, additional, Iliff, Jeffrey, additional, Levendovszky, Swati Rane, additional, and VandeWeerd, Carla, additional
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- 2023
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22. Identification of Hippocampal and Amygdala Subfields Predictive of MoCA Scores in Patients with Dementia with Lewy Bodies
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Sudhakar, Tejaswi D, primary, Levendovszky, Swati Rane, additional, Zabetian, Cyrus P, additional, Tsuang, Debby W, additional, Pillai, Jagan A., additional, Rao, Stephen M., additional, Oguh, Odinachi, additional, Lippa, Carol, additional, Lopez, Oscar L., additional, Berman, Sarah, additional, Irwin, David J., additional, Galasko, Douglas R., additional, Litvan, Irene, additional, Marder, Karen, additional, Honig, Lawrence S., additional, Fleisher, Jori E, additional, Galvin, James E, additional, Bozoki, Andrea, additional, Taylor, Angela, additional, Sabbagh, Marwan, additional, Wint, Dylan, additional, Cholerton, Brenna, additional, Leverenz, James B, additional, and Olson, Valerie, additional
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- 2023
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23. Hypertension predicts lower cerebral blood flow and fluid cognitive scores after a lipid challenge in older adults
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Ashford, Nathanial K, primary, Miglani, Jasroop K, additional, Farris, Kristen M, additional, Levendovszky, Swati Rane, additional, and Hanson, Angela J, additional
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- 2023
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24. Preliminary cross-sectional investigations into the human glymphatic system using multiple novel non-contrast MRI methods.
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Levendovszky, Swati Rane, primary, Flores, Jaqueline R, additional, Peskind, Elaine, additional, Vaclavu, Lena, additional, van Osch, Matthias J.P., additional, and Iliff, Jeffrey J, additional
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- 2023
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25. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids: Update From the 2022 “ISMRM Imaging Neurofluids Study group” Workshop in Rome
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Agarwal, Nivedita, primary, Lewis, Laura D., additional, Hirschler, Lydiane, additional, Rivera, Leonardo Rivera, additional, Naganawa, Shinji, additional, Levendovszky, Swati Rane, additional, Ringstad, Geir, additional, Klarica, Marijan, additional, Wardlaw, Joanna, additional, Iadecola, Costantino, additional, Hawkes, Cheryl, additional, Carare, Roxana Octavia, additional, Wells, Jack, additional, Bakker, Erik N.T.P., additional, Kurtcuoglu, Vartan, additional, Bilston, Lynne, additional, Nedergaard, Maiken, additional, Mori, Yuki, additional, Stoodley, Marcus, additional, Alperin, Noam, additional, de Leon, Mony, additional, and van Osch, Matthias J.P., additional
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- 2023
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26. Current Understanding of the Anatomy, Physiology, and Magnetic Resonance Imaging of Neurofluids: Update From the 2022 “ ISMRM Imaging Neurofluids Study group” Workshop in Rome
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Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, van Osch, Matthias J.P., Agarwal, Nivedita, Lewis, Laura D., Hirschler, Lydiane, Rivera, Leonardo Rivera, Naganawa, Shinji, Levendovszky, Swati Rane, Ringstad, Geir, Klarica, Marijan, Wardlaw, Joanna, Iadecola, Costantino, Hawkes, Cheryl, Carare, Roxana Octavia, Wells, Jack, Bakker, Erik N.T.P., Kurtcuoglu, Vartan, Bilston, Lynne, Nedergaard, Maiken, Mori, Yuki, Stoodley, Marcus, Alperin, Noam, de Leon, Mony, and van Osch, Matthias J.P.
- Abstract
Neurofluids is a term introduced to define all fluids in the brain and spine such as blood, cerebrospinal fluid, and interstitial fluid. Neuroscientists in the past millennium have steadily identified the several different fluid environments in the brain and spine that interact in a synchronized harmonious manner to assure a healthy microenvironment required for optimal neuroglial function. Neuroanatomists and biochemists have provided an incredible wealth of evidence revealing the anatomy of perivascular spaces, meninges and glia and their role in drainage of neuronal waste products. Human studies have been limited due to the restricted availability of noninvasive imaging modalities that can provide a high spatiotemporal depiction of the brain neurofluids. Therefore, animal studies have been key in advancing our knowledge of the temporal and spatial dynamics of fluids, for example, by injecting tracers with different molecular weights. Such studies have sparked interest to identify possible disruptions to neurofluids dynamics in human diseases such as small vessel disease, cerebral amyloid angiopathy, and dementia. However, key differences between rodent and human physiology should be considered when extrapolating these findings to understand the human brain. An increasing armamentarium of noninvasive MRI techniques is being built to identify markers of altered drainage pathways. During the three‐day workshop organized by the International Society of Magnetic Resonance in Medicine that was held in Rome in September 2022, several of these concepts were discussed by a distinguished international faculty to lay the basis of what is known and where we still lack evidence. We envision that in the next decade, MRI will allow imaging of the physiology of neurofluid dynamics and drainage pathways in the human brain to identify true pathological processes underlying disease and to discover new avenues for early diagnoses and treatments including drug delivery. Evidence leve
- Published
- 2023
27. Reader Response: Association of Sleep, Neuropsychological Performance, and Gray Matter Volume With Glymphatic Function in Community-Dwelling Older Adults
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Piantino, Juan A., primary, Iliff, Jeffrey J., additional, Lim, Miranda M., additional, and Levendovszky, Swati Rane, additional
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- 2023
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28. APOE genotype and blood pressure influence global and regional cerebral blood flow in older adults post‐high lipid feeding
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Ashford, Nathaniel K, primary, Farris, Kristen M, additional, Levendovszky, Swati Rane, additional, and Hanson, Angela J, additional
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- 2022
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29. Brain state transition analysis using ultra-fast fMRI differentiates MCI from cognitively normal controls
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Palmer, William C., Park, Sung Min, and Levendovszky, Swati Rane
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General Neuroscience - Abstract
PurposeConventional resting-state fMRI studies indicate that many cortical and subcortical regions have altered function in Alzheimer’s disease (AD) but the nature of this alteration has remained unclear. Ultrafast fMRIs with sub-second acquisition times have the potential to improve signal contrast and enable advanced analyses to understand temporal interactions between brain regions as opposed to spatial interactions. In this work, we leverage such fast fMRI acquisitions from Alzheimer’s disease Neuroimaging Initiative to understand temporal differences in the interactions between resting-state networks in 55 older adults with mild cognitive impairment (MCI) and 50 cognitively normal healthy controls.MethodsWe used a sliding window approach followed by k-means clustering. At each window, we computed connectivity i.e., correlations within and across the regions of the default mode, salience, dorsal attention, and frontoparietal network. Visual and somatosensory networks were excluded due to their lack of association with AD. Using the Davies–Bouldin index, we identified clusters of windows with distinct connectivity patterns, also referred to as brain states. The fMRI time courses were converted into time courses depicting brain state transition. From these state time course, we calculated the dwell time for each state i.e., how long a participant spent in each state. We determined how likely a participant transitioned between brain states. Both metrics were compared between MCI participants and controls using a false discovery rate correction of multiple comparisons at a threshold of. 0.05.ResultsWe identified 8 distinct brain states representing connectivity within and between the resting state networks. We identified three transitions that were different between controls and MCI, all involving transitions in connectivity between frontoparietal, dorsal attention, and default mode networks (pConclusionWe show that ultra-fast fMRI paired with dynamic functional connectivity analysis allows us to capture temporal transitions between brain states. Most changes were associated with transitions between the frontoparietal and dorsal attention networks connectivity and their interaction with the default mode network. Although future work needs to validate these findings, the brain networks identified in our work are known to interact with each other and play an important role in cognitive function and memory impairment in AD.
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- 2022
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30. Comparison of Human Tissue Gadolinium Retention and Elimination between Gadoteridol and Gadobenate
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Kobayashi, Masahiro, primary, Levendovszky, Swati Rane, additional, Hippe, Daniel S., additional, Hasegawa, Makoto, additional, Murata, Nozomu, additional, Murata, Kiyoko, additional, Marshall, Desiree A., additional, Gonzalez-Cuyar, Luis F., additional, and Maravilla, Kenneth R., additional
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- 2021
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31. Frequency Drift in MR Spectroscopy at 3T
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Hui, Steve C N, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie C W, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan S R, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Jacobson, Aaron, Jansen, Jacobus F A, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C G, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy P L, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A, Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P, Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T, Wilbur, Timothy K, Willoughby, William R, Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J, Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K W, Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, Edden, Richard A E, Hui, Steve C N, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie C W, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan S R, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Jacobson, Aaron, Jansen, Jacobus F A, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C G, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy P L, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A, Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P, Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T, Wilbur, Timothy K, Willoughby, William R, Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J, Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K W, Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, and Edden, Richard A E
- Abstract
PURPOSE: Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites.METHOD: A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC).RESULTS: Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately anal
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- 2021
32. Outer Retinal Thinning is Associated With Brain Atrophy in Early Age-Related Macular Degeneration.
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Jiang Y, Swain T, Gim N, Blazes M, Donald CM, Rokem A, Owen JP, Balu N, Clark ME, Goerdt L, McGwin G, Hunt D, Curcio CA, Levendovszky SR, Trittschuh EH, Owsley C, and Lee CS
- Abstract
Purpose: Both retinal changes and age-related macular degeneration (AMD) have been shown to be associated with Alzheimer's disease and related dementias (ADRD). In AMD, the outer retina is impacted significantly and early, but little is known about its association with cognition or changes in brain morphometry. This study investigates the relationship between retinal and brain morphometry in older adults with early and intermediate AMD., Design: Cross-sectional study., Methods: Adults ≥70 years with normal, early, and intermediate AMD were recruited from Callahan Eye Hospital Clinics at the University of Alabama at Birmingham. Participants underwent cognitive testing, optical coherence tomography, and magnetic resonance imaging. Associations of retinal layer thickness with brain volume and thickness of specific brain regions were evaluated utilizing multivariable linear regression. The relevance of retinal thickness variables in brain volumetrics was quantified using least absolute shrinkage and selection operator regression models. Correlations between demographic variables, cognitive scores, and brain morphometry were evaluated., Results: Participants with thinner outer retina had significantly smaller hippocampus (β = 0.019, P = .022), lower occipital cortex regions of interest (occipital ROIs) thickness (β = 5.68, P = .020), and lower cortical thickness in ADRD-related brain regions (β = 7.72, P = .006). People with thinner total retina had significantly lower occipital ROIs (β = 3.19, P = .009) and ADRD-related brain region (β = 3.94, P = .005) thickness. Outer retinal thickness in the outer Early Treatment of Diabetic Retinopathy Study ring was the most frequently reported retinal variable associated with brain morphometry on least absolute shrinkage and selection operator regression. Total gray matter volume showed positive correlations with education (Pearson's r = 0.30, P = .022)., Conclusions: In older adults with normal retinal aging and early and intermediate AMD, thinner outer retina had specific associations with brain regions primarily involved in vision and cognition, such as lower hippocampal volume and lower thickness of the occipital ROIs and brain regions known to show early structural changes in dementia., (Copyright © 2024 Elsevier Inc. All rights reserved.)
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- 2024
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33. Preliminary cross-sectional investigations into the human glymphatic system using multiple novel non-contrast MRI methods.
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Levendovszky SR, Flores J, Peskind ER, Václavů L, van Osch MJP, and Iliff J
- Abstract
We discuss two potential non-invasive MRI methods to cross-sectionally study two distinct facets of the glymphatic system and its association with sleep and aging. We apply diffusion-based intravoxel incoherent motion (IVIM) imaging to evaluate pseudodiffusion coefficient, D * , or cerebrospinal fluid (CSF) movement across large spaces like the subarachnoid space (SAS). We also performed perfusion-based multi-echo, Hadamard encoded multi-delay arterial spin labeling (ASL) to evaluate whole brain cortical cerebral blood flow (CBF) and transendothelial exchange (T
ex ) of water from the vasculature into the perivascular space and parenchyma. Both methods were used in young adults (N=9, 6F, 23±3 years old) in the setting of sleep and sleep deprivation. To study aging, 10 older adults, (6F, 67±3 years old) were imaged after a night of normal sleep only and compared with the young adults. D * in SAS was significantly (p<0.05) lesser after sleep deprivation (0.014±0.001 mm2 /s) than after normal sleep (0.016±0.001 mm2 /s), but was unchanged with aging. Cortical CBF and Tex on the other hand, were unchanged after sleep deprivation but were significantly lower in older adults (37±3 ml/100g/min, 476±66 ms) than young adults (42±2 ml/100g/min, 624±66 ms). IVIM was thus, sensitive to sleep physiology and multi-echo, multi-delay ASL was sensitive to aging., Competing Interests: Conflicts of Interest: None.- Published
- 2023
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