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Suzuki Y, Clement P, Dai W, Dolui S, Fernández-Seara M, Lindner T, Mutsaerts HJMM, Petr J, Shao X, Taso M, Thomas DL. ASL lexicon and reporting recommendations: A consensus report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magn Reson Med 2024; 91:1743-1760. [PMID: 37876299 PMCID: PMC10950547 DOI: 10.1002/mrm.29815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/22/2023] [Accepted: 07/13/2023] [Indexed: 10/26/2023]
Abstract
The 2015 consensus statement published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group and the European Cooperation in Science and Technology ( COST) Action ASL in Dementia aimed to encourage the implementation of robust arterial spin labeling (ASL) perfusion MRI for clinical applications and promote consistency across scanner types, sites, and studies. Subsequently, the recommended 3D pseudo-continuous ASL sequence has been implemented by most major MRI manufacturers. However, ASL remains a rapidly and widely developing field, leading inevitably to further divergence of the technique and its associated terminology, which could cause confusion and hamper research reproducibility. On behalf of the ISMRM Perfusion Study Group, and as part of the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI), the ASL Lexicon Task Force has been working on the development of an ASL Lexicon and Reporting Recommendations for perfusion imaging and analysis, aiming to (1) develop standardized, consensus nomenclature and terminology for the broad range of ASL imaging techniques and parameters, as well as for the physiological constants required for quantitative analysis; and (2) provide a community-endorsed recommendation of the imaging parameters that we encourage authors to include when describing ASL methods in scientific reports/papers. In this paper, the sequences and parameters in (pseudo-)continuous ASL, pulsed ASL, velocity-selective ASL, and multi-timepoint ASL for brain perfusion imaging are included. However, the content of the lexicon is not intended to be limited to these techniques, and this paper provides the foundation for a growing online inventory that will be extended by the community as further methods and improvements are developed and established.
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Affiliation(s)
- Yuriko Suzuki
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Patricia Clement
- Department of Medical Imaging, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Weiying Dai
- State University of New York at Binghamton, Binghamton, NY, USA
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Maria Fernández-Seara
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | | | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, the Netherlands, Amsterdam
| | - Jan Petr
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Xingfeng Shao
- Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Manuel Taso
- Division of MRI Research, Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - David L Thomas
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
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Fan H, Mutsaerts HJ, Anazodo U, Arteaga D, Baas KP, Buchanan C, Camargo A, Keil VC, Lin Z, Lindner T, Hirschler L, Hu J, Padrela BE, Taghvaei M, Thomas DL, Dolui S, Petr J. ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory. Magn Reson Med 2024; 91:1787-1802. [PMID: 37811778 PMCID: PMC10950546 DOI: 10.1002/mrm.29869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 08/21/2023] [Accepted: 08/30/2023] [Indexed: 10/10/2023]
Abstract
PURPOSE To create an inventory of image processing pipelines of arterial spin labeling (ASL) and list their main features, and to evaluate the capability, flexibility, and ease of use of publicly available pipelines to guide novice ASL users in selecting their optimal pipeline. METHODS Developers self-assessed their pipelines using a questionnaire developed by the Task Force 1.1 of the ISMRM Open Science Initiative for Perfusion Imaging. Additionally, each publicly available pipeline was evaluated by two independent testers with basic ASL experience using a scoring system created for this purpose. RESULTS The developers of 21 pipelines filled the questionnaire. Most pipelines are free for noncommercial use (n = 18) and work with the standard NIfTI (Neuroimaging Informatics Technology Initiative) data format (n = 15). All pipelines can process standard 3D single postlabeling delay pseudo-continuous ASL images and primarily differ in their support of advanced sequences and features. The publicly available pipelines (n = 9) were included in the independent testing, all of them being free for noncommercial use. The pipelines, in general, provided a trade-off between ease of use and flexibility for configuring advanced processing options. CONCLUSION Although most ASL pipelines can process the common ASL data types, only some (namely, ASLPrep, ASLtbx, BASIL/Quantiphyse, ExploreASL, and MRICloud) are well-documented, publicly available, support multiple ASL types, have a user-friendly interface, and can provide a useful starting point for ASL processing. The choice of an optimal pipeline should be driven by specific data to be processed and user experience, and can be guided by the information provided in this ASL inventory.
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Affiliation(s)
- Hongli Fan
- The Johns Hopkins School of Medicine, Department of Biomedical Engineering, Baltimore, Maryland, USA
- MR Research and Development, Siemens Medical Solutions USA, Inc., Dallas, Texas, USA
| | - Henk J.M.M. Mutsaerts
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Udunna Anazodo
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Daniel Arteaga
- Ascension Saint Thomas Hospital, Nashville, Tennessee, USA
| | - Koen P.A. Baas
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Amsterdam UMC, Location AMC, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
| | - Charlotte Buchanan
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, United Kingdom
| | - Aldo Camargo
- School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland of Baltimore
| | - Vera C. Keil
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Zixuan Lin
- The Johns Hopkins School of Medicine, Department of Biomedical Engineering, Baltimore, Maryland, USA
| | - Thomas Lindner
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Lydiane Hirschler
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Jian Hu
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, United Kingdom
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, United Kingdom
| | - Beatriz E. Padrela
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Mohammad Taghvaei
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - David L. Thomas
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Jan Petr
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
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Taghvaei M, Mechanic-Hamilton DJ, Sadaghiani S, Shakibajahromi B, Dolui S, Das S, Brown C, Tackett W, Khandelwal P, Cook P, Shinohara RT, Yushkevich P, Bassett DS, Wolk DA, Detre JA. Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants. Neurobiol Aging 2024; 135:79-90. [PMID: 38262221 PMCID: PMC10872454 DOI: 10.1016/j.neurobiolaging.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/19/2023] [Accepted: 10/22/2023] [Indexed: 01/25/2024]
Abstract
We used indirect brain mapping with virtual lesion tractography to test the hypothesis that the extent of white matter tract disconnection due to white matter hyperintensities (WMH) is associated with corresponding tract-specific cognitive performance decrements. To estimate tract disconnection, WMH masks were extracted from FLAIR MRI data of 481 cognitively intact participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) and used as regions of avoidance for fiber tracking in diffusion MRI data from 50 healthy young participants from the Human Connectome Project. Estimated tract disconnection in the right inferior fronto-occipital fasciculus, right frontal aslant tract, and right superior longitudinal fasciculus mediated the effects of WMH volume on executive function. Estimated tract disconnection in the left uncinate fasciculus mediated the effects of WMH volume on memory and in the right frontal aslant tract on language. In a subset of ADNI control participants with amyloid data, positive status increased the probability of periventricular WMH and moderated the relationship between WMH burden and tract disconnection in executive function performance.
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Affiliation(s)
- Mohammad Taghvaei
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Brown
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - William Tackett
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Pulkit Khandelwal
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip Cook
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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Dolui S, Wang Z, Wolf RL, Nabavizadeh A, Xie L, Tosun D, Nasrallah IM, Wolk DA, Detre JA. Automated Quality Evaluation Index for Arterial Spin Labeling Derived Cerebral Blood Flow Maps. J Magn Reson Imaging 2024. [PMID: 38400805 DOI: 10.1002/jmri.29308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Arterial spin labeling (ASL) derived cerebral blood flow (CBF) maps are prone to artifacts and noise that can degrade image quality. PURPOSE To develop an automated and objective quality evaluation index (QEI) for ASL CBF maps. STUDY TYPE Retrospective. POPULATION Data from N = 221 adults, including patients with Alzheimer's disease (AD), Parkinson's disease, and traumatic brain injury. FIELD STRENGTH/SEQUENCE Pulsed or pseudocontinuous ASL acquired at 3 T using non-background suppressed 2D gradient-echo echoplanar imaging or background suppressed 3D spiral spin-echo readouts. ASSESSMENT The QEI was developed using N = 101 2D CBF maps rated as unacceptable, poor, average, or excellent by two neuroradiologists and validated by 1) leave-one-out cross validation, 2) assessing if CBF reproducibility in N = 53 cognitively normal adults correlates inversely with QEI, 3) if iterative discarding of low QEI data improves the Cohen's d effect size for CBF differences between preclinical AD (N = 27) and controls (N = 53), 4) comparing the QEI with manual ratings for N = 50 3D CBF maps, and 5) comparing the QEI with another automated quality metric. STATISTICAL TESTS Inter-rater reliability and manual vs. automated QEI were quantified using Pearson's correlation. P < 0.05 was considered significant. RESULTS The correlation between QEI and manual ratings (R = 0.83, CI: 0.76-0.88) was similar (P = 0.56) to inter-rater correlation (R = 0.81, CI: 0.73-0.87) for the 2D data. CBF reproducibility correlated negatively (R = -0.74, CI: -0.84 to -0.59) with QEI. The effect size comparing patients and controls improved (R = 0.72, CI: 0.59-0.82) as low QEI data was discarded iteratively. The correlation between QEI and manual ratings (R = 0.86, CI: 0.77-0.92) of 3D ASL was similar (P = 0.09) to inter-rater correlation (R = 0.78, CI: 0.64-0.87). The QEI correlated (R = 0.87, CI: 0.77-0.92) significantly better with manual ratings than did an existing approach (R = 0.54, CI: 0.30-0.72). DATA CONCLUSION Automated QEI performed similarly to manual ratings and can provide scalable ASL quality control. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ze Wang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Ronald L Wolf
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ali Nabavizadeh
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Shah K, Ghosh J, Patel S, Chowdhuri MB, Jadeja KA, Shukla G, Macwan T, Kumar A, Dolui S, Singh K, Tanna RL, Patel KM, Dey R, Manchanda R, Ramaiya N, Kumar R, Aich S, Yadava N, Purohit S, Gupta MK, Nagora UC, Pathak SK, Atrey PK, Mayya KBK. Author Correction: Role of pinch in Argon impurity transport in ohmic discharges of Aditya-U Tokamak. Sci Rep 2023; 13:19969. [PMID: 37968383 PMCID: PMC10651834 DOI: 10.1038/s41598-023-47362-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2023] Open
Affiliation(s)
- K Shah
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India.
| | - J Ghosh
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India.
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India.
| | - S Patel
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India
| | - M B Chowdhuri
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - K A Jadeja
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Department of Nano Science and Advanced Materials, Saurashtra University, Rajkot, 360 005, India
| | - G Shukla
- ITER-India, Institute for Plasma Research, Koteshwar, Ahmedabad, 380 005, India
| | - T Macwan
- University of California, Los Angeles, CA, 90095, USA
| | - A Kumar
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - S Dolui
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - K Singh
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - R L Tanna
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Institute of Science, Nirma University, Ahmedabad, 382 481, India
| | - K M Patel
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Dey
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Manchanda
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - N Ramaiya
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Kumar
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - S Aich
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - N Yadava
- Institute of Science, Nirma University, Ahmedabad, 382 481, India
| | - S Purohit
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - M K Gupta
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - U C Nagora
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - S K Pathak
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - P K Atrey
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - K B K Mayya
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India
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6
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Shah K, Ghosh J, Patel S, Chowdhuri MB, Jadeja KA, Shukla G, Macwan T, Kumar A, Dolui S, Singh K, Tanna RL, Patel KM, Dey R, Manchanda R, Ramaiya N, Kumar R, Aich S, Yadava N, Purohit S, Gupta MK, Nagora UC, Pathak SK, Atrey PK, Mayya KBK. Role of pinch in Argon impurity transport in ohmic discharges of Aditya-U Tokamak. Sci Rep 2023; 13:16087. [PMID: 37752170 PMCID: PMC10522584 DOI: 10.1038/s41598-023-42746-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 09/14/2023] [Indexed: 09/28/2023] Open
Abstract
We present experimental results of the trace argon impurity puffing in the ohmic plasmas of Aditya-U tokamak performed to study the argon transport behaviour. Argon line emissions in visible and Vacuum Ultra Violet (VUV) spectral ranges arising from the plasma edge and core respectively are measured simultaneously. During the experiments, space resolved brightness profile of Ar1+ line emissions at 472.69 nm (3p44s 2P3/2-3p44p 2D3/2), 473.59 nm (3p44s 4P5/2-3p44p 4P3/2), 476.49 nm (3p44s 2P1/2-3p44p 2P3/2), 480.60 nm (3p44s 4P5/2-3p44p 4P5/2) are recorded using a high resolution visible spectrometer. Also, a VUV spectrometer has been used to simultaneously observe Ar13+ line emission at 18.79 nm (2s22p 2P3/2-2s2p2 2P3/2) and Ar14+ line emission at 22.11 nm (2s2 1S0-2s2p 1P1). The diffusivity and convective velocity of Ar are obtained by comparing the measured radial emissivity profile of Ar1+ emission and the line intensity ratio of Ar13+ and Ar14+ ions, with those simulated using the impurity transport code, STRAHL. Argon diffusivities ~ 12 m2/s and ~ 0.3 m2/s have been observed in the edge (ρ > 0.85) and core region of the Aditya-U, respectively. The diffusivity values both in the edge and core region are found to be higher than the neo-classical values suggesting that the argon impurity transport is mainly anomalous in the Aditya-U tokamak. Also, an inward pinch of ~ 10 m/s mainly driven by Ware pinch is required to match the measured and simulated data. The measured peaked profile of Ar density suggests impurity accumulation in these discharges.
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Affiliation(s)
- K Shah
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India.
| | - J Ghosh
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India.
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India.
| | - S Patel
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India
| | - M B Chowdhuri
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - K A Jadeja
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Department of Nano Science and Advanced Materials, Saurashtra University, Rajkot, 360 005, India
| | - G Shukla
- ITER-India, Institute for Plasma Research, Koteshwar, Ahmedabad, 380 005, India
| | - T Macwan
- University of California, Los Angeles, CA, 90095, USA
| | - A Kumar
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - S Dolui
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - K Singh
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - R L Tanna
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Institute of Science, Nirma University, Ahmedabad, 382 481, India
| | - K M Patel
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Dey
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Manchanda
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - N Ramaiya
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - R Kumar
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - S Aich
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - N Yadava
- Institute of Science, Nirma University, Ahmedabad, 382 481, India
| | - S Purohit
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - M K Gupta
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - U C Nagora
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - S K Pathak
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400 094, India
| | - P K Atrey
- Institute for Plasma Research, Bhat, Gandhinagar, 382 428, India
| | - K B K Mayya
- Department of Physics, Pandit Deendayal Energy University, Raisan, Gandhinagar, 382 007, India
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7
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Taghvaei M, Cook P, Sadaghiani S, Shakibajahromi B, Tackett W, Dolui S, De D, Brown C, Khandelwal P, Yushkevich P, Das S, Wolk DA, Detre JA. Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography. Hum Brain Mapp 2023; 44:3943-3953. [PMID: 37148501 PMCID: PMC10258527 DOI: 10.1002/hbm.26326] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 04/12/2023] [Accepted: 04/17/2023] [Indexed: 05/08/2023] Open
Abstract
White matter hyperintensity (WMH) lesions on T2 fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and changes in adjacent normal-appearing white matter can disrupt computerized tract reconstruction and result in inaccurate measures of structural brain connectivity. The virtual lesion approach provides an alternative strategy for estimating structural connectivity changes due to WMH. To assess the impact of using young versus older subject diffusion MRI data for virtual lesion tractography, we leveraged recently available diffusion MRI data from the Human Connectome Project (HCP) Lifespan database. Neuroimaging data from 50 healthy young (39.2 ± 1.6 years) and 46 healthy older (74.2 ± 2.5 years) subjects were obtained from the publicly available HCP-Aging database. Three WMH masks with low, moderate, and high lesion burdens were extracted from the WMH lesion frequency map of locally acquired FLAIR MRI data. Deterministic tractography was conducted to extract streamlines in 21 WM bundles with and without the WMH masks as regions of avoidance in both young and older cohorts. For intact tractography without virtual lesion masks, 7 out of 21 WM pathways showed a significantly lower number of streamlines in older subjects compared to young subjects. A decrease in streamline count with higher native lesion burden was found in corpus callosum, corticostriatal tract, and fornix pathways. Comparable percentages of affected streamlines were obtained in young and older groups with virtual lesion tractography using the three WMH lesion masks of increasing severity. We conclude that using normative diffusion MRI data from young subjects for virtual lesion tractography of WMH is, in most cases, preferable to using age-matched normative data.
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Affiliation(s)
- Mohammad Taghvaei
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Philip Cook
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Shokufeh Sadaghiani
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - William Tackett
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Sudipto Dolui
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Debarun De
- Department of Computer EngineeringUniversity of IllinoisUrbanaIllinoisUSA
| | - Christopher Brown
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Pulkit Khandelwal
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Paul Yushkevich
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Sandhitsu Das
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David A. Wolk
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - John A. Detre
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Rashid T, Li K, Toledo JB, Nasrallah I, Pajewski NM, Dolui S, Detre J, Wolk DA, Liu H, Heckbert SR, Bryan RN, Williamson J, Davatzikos C, Seshadri S, Launer LJ, Habes M. Association of Intensive vs Standard Blood Pressure Control With Regional Changes in Cerebral Small Vessel Disease Biomarkers: Post Hoc Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Netw Open 2023; 6:e231055. [PMID: 36857053 PMCID: PMC9978954 DOI: 10.1001/jamanetworkopen.2023.1055] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
IMPORTANCE Little is known about the associations of strict blood pressure (BP) control with microstructural changes in small vessel disease markers. OBJECTIVE To investigate the regional associations of intensive vs standard BP control with small vessel disease biomarkers, such as white matter lesions (WMLs), fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF). DESIGN, SETTING, AND PARTICIPANTS The Systolic Blood Pressure Intervention Trial (SPRINT) is a multicenter randomized clinical trial that compared intensive systolic BP (SBP) control (SBP target <120 mm Hg) vs standard control (SBP target <140 mm Hg) among participants aged 50 years or older with hypertension and without diabetes or a history of stroke. The study began randomization on November 8, 2010, and stopped July 1, 2016, with a follow-up duration of approximately 4 years. A total of 670 and 458 participants completed brain magnetic resonance imaging at baseline and follow-up, respectively, and comprise the cohort for this post hoc analysis. Statistical analyses for this post hoc analysis were performed between August 2020 and October 2022. INTERVENTIONS At baseline, 355 participants received intensive SBP treatment and 315 participants received standard SBP treatment. MAIN OUTCOMES AND MEASURES The main outcomes were regional changes in WMLs, FA, MD (in white matter regions of interest), and CBF (in gray matter regions of interest). RESULTS At baseline, 355 participants (mean [SD] age, 67.7 [8.0] years; 200 men [56.3%]) received intensive BP treatment and 315 participants (mean [SD] age, 67.0 [8.4] years; 199 men [63.2%]) received standard BP treatment. Intensive treatment was associated with smaller mean increases in WML volume compared with standard treatment (644.5 mm3 vs 1258.1 mm3). The smaller mean increases were observed specifically in the deep white matter regions of the left anterior corona radiata (intensive treatment, 30.3 mm3 [95% CI, 16.0-44.5 mm3]; standard treatment, 80.5 mm3 [95% CI, 53.8-107.2 mm3]), left tapetum (intensive treatment, 11.8 mm3 [95% CI, 4.4-19.2 mm3]; standard treatment, 27.2 mm3 [95% CI, 19.4-35.0 mm3]), left superior fronto-occipital fasciculus (intensive treatment, 3.2 mm3 [95% CI, 0.7-5.8 mm3]; standard treatment, 9.4 mm3 [95% CI, 5.5-13.4 mm3]), left posterior corona radiata (intensive treatment, 26.0 mm3 [95% CI, 12.9-39.1 mm3]; standard treatment, 52.3 mm3 [95% CI, 34.8-69.8 mm3]), left splenium of the corpus callosum (intensive treatment, 45.4 mm3 [95% CI, 25.1-65.7 mm3]; standard treatment, 83.0 mm3 [95% CI, 58.7-107.2 mm3]), left posterior thalamic radiation (intensive treatment, 53.0 mm3 [95% CI, 29.8-76.2 mm3]; standard treatment, 106.9 mm3 [95% CI, 73.4-140.3 mm3]), and right posterior thalamic radiation (intensive treatment, 49.5 mm3 [95% CI, 24.3-74.7 mm3]; standard treatment, 102.6 mm3 [95% CI, 71.0-134.2 mm3]). CONCLUSIONS AND RELEVANCE This study suggests that intensive BP treatment, compared with standard treatment, was associated with a slower increase of WMLs, improved diffusion tensor imaging, and FA and CBF changes in several brain regions that represent vulnerable areas that may benefit from more strict BP control. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- Tanweer Rashid
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Karl Li
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Jon B. Toledo
- Department of Neurology, University of Florida, Gainesville
- Department of Neurology, Houston Methodist Hospital, Houston, Texas
| | - Ilya Nasrallah
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Nicholas M. Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sudipto Dolui
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - John Detre
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Hangfan Liu
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | | | - R. Nick Bryan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
| | - Jeff Williamson
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Christos Davatzikos
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Sudha Seshadri
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - Lenore J. Launer
- Intramural Research Program, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia
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9
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Gaggi NL, Ware JB, Dolui S, Brennan D, Torrellas J, Wang Z, Whyte J, Diaz-Arrastia R, Kim JJ. Temporal dynamics of cerebral blood flow during the first year after moderate-severe traumatic brain injury: A longitudinal perfusion MRI study. Neuroimage Clin 2023; 37:103344. [PMID: 36804686 PMCID: PMC9969322 DOI: 10.1016/j.nicl.2023.103344] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 02/01/2023] [Accepted: 02/04/2023] [Indexed: 02/13/2023]
Abstract
Traumatic brain injury (TBI) is associated with alterations in cerebral blood flow (CBF), which may underlie functional disability and precipitate TBI-induced neurodegeneration. Although it is known that chronic moderate-severe TBI (msTBI) causes decreases in CBF, the temporal dynamics during the early chronic phase of TBI remain unknown. Using arterial spin labeled (ASL) perfusion magnetic resonance imaging (MRI), we examined longitudinal CBF changes in 29 patients with msTBI at 3, 6, and 12 months post-injury in comparison to 35 demographically-matched healthy controls (HC). We investigated the difference between the two groups and the within-subject time effect in the TBI patients using whole-brain voxel-wise analysis. Mean CBF in gray matter (GM) was lower in the TBI group compared to HC at 6 and 12 months post-injury. Within the TBI group, we identified widespread regional decreases in CBF from 3 to 6 months post-injury. In contrast, there were no regions with decreasing CBF from 6 to 12 months post-injury, indicating stabilization of hypoperfusion. There was instead a small area of increase in CBF observed in the right precuneus. These CBF changes were not accompanied by cortical atrophy. The change in CBF was correlated with change in executive function from 3 to 6 months post-injury in TBI patients, suggesting functional relevance of CBF measures. Understanding the time course of TBI-induced hypoperfusion and its relationship with cognitive improvement could provide an optimal treatment window to benefit long-term outcome.
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Affiliation(s)
- Naomi L Gaggi
- City University of New York (CUNY) School of Medicine, Townsend Harris Hall, 160 Convent Avenue, Convent Avenue, New York, NY 10031, United States; City University of New York (CUNY) Graduate Center, 365 5(th) Avenue, New York, NY 10016, United States.
| | - Jeffrey B Ware
- University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - Sudipto Dolui
- University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - Daniel Brennan
- City University of New York (CUNY) School of Medicine, Townsend Harris Hall, 160 Convent Avenue, Convent Avenue, New York, NY 10031, United States; City University of New York (CUNY) Graduate Center, 365 5(th) Avenue, New York, NY 10016, United States.
| | - Julia Torrellas
- City University of New York (CUNY) School of Medicine, Townsend Harris Hall, 160 Convent Avenue, Convent Avenue, New York, NY 10031, United States.
| | - Ze Wang
- University of Maryland School of Medicine, 655 W Baltimore St. S, Baltimore, MD 21201, United States.
| | - John Whyte
- Moss Rehabilitation Research Institute, 50 Township Line Road, Elkins Park, PA 19027, United States.
| | - Ramon Diaz-Arrastia
- University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States.
| | - Junghoon J Kim
- City University of New York (CUNY) School of Medicine, Townsend Harris Hall, 160 Convent Avenue, Convent Avenue, New York, NY 10031, United States; City University of New York (CUNY) Graduate Center, 365 5(th) Avenue, New York, NY 10016, United States.
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10
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Moonen JE, Nasrallah IM, Detre JA, Dolui S, Erus G, Davatzikos C, Meirelles O, Bryan NR, Launer LJ. Race, sex, and mid-life changes in brain health: Cardia MRI substudy. Alzheimers Dement 2022; 18:2428-2437. [PMID: 35142033 PMCID: PMC9360196 DOI: 10.1002/alz.12560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/20/2021] [Accepted: 12/03/2021] [Indexed: 01/31/2023]
Abstract
OBJECTIVE To examine longitudinal race and sex differences in mid-life brain health and to evaluate whether cardiovascular health (CVH) or apolipoprotein E (APOE) ε4 explain differences. METHODS The study included 478 Black and White participants (mean age: 50 years). Total (TBV), gray (GMV), white (WMV), and white matter hyperintensity (WMH) volumes and GM-cerebral blood flow (CBF) were acquired with 3T-magnetic resonance imaging at baseline and 5-year follow-up. Analyses were based on general linear models. RESULTS There were race x sex interactions for GMV (P-interaction = .004) and CBF (P-interaction = .01) such that men showed more decline than women, and this was most evident in Blacks. Blacks compared to Whites had a significantly greater increase in WMH (P = .002). All sex-race differences in change were marginally attenuated by CVH and APOE ε4. CONCLUSION Race-sex differences in brain health emerge by mid-life. Identifying new environmental factors beyond CVH is needed to develop early interventions to maintain brain health.
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Affiliation(s)
- Justine E Moonen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institute of Health, LEPS/IRP/NIA/NIH, 251 Bayview Blvd, Suite 100, Baltimore, MD 21224, USA, Tel: 410-558-8292
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania Health System, Philadelphia, PA 19104, US
| | - John A Detre
- Department of Radiology, University of Pennsylvania Health System, Philadelphia, PA 19104, US
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania Health System, Philadelphia, PA 19104, US
| | - Guray Erus
- Department of Radiology, University of Pennsylvania Health System, Philadelphia, PA 19104, US
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School for advanced Medicine, 3400 Civic Center Boulevard Atrium, Ground Floor, Philadelphia, PA 19104, US
| | - Osorio Meirelles
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institute of Health, LEPS/IRP/NIA/NIH, 251 Bayview Blvd, Suite 100, Baltimore, MD 21224, USA, Tel: 410-558-8292
| | - Nick R Bryan
- Department of Radiology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, Austin, US
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institute of Health, LEPS/IRP/NIA/NIH, 251 Bayview Blvd, Suite 100, Baltimore, MD 21224, USA, Tel: 410-558-8292
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11
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Taghvaei M, Cook P, Khandelwal P, Shakibajahromi B, Sadaghiani S, Das SR, Brown C, Tackett W, Dolui S, Shinohara RT, Wolk DA, Detre JA. Mechanisms of Cognitive Decline due to White Matter Lesions in Cognitively Intact Older Adults. Alzheimers Dement 2022. [DOI: 10.1002/alz.069332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Philip Cook
- Penn Image Computing and Science Laboratory, University of Pennsylvania Philadelphia PA USA
| | - Pulkit Khandelwal
- Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania Philadelphia PA USA
| | | | | | | | | | | | | | | | - David A. Wolk
- Penn Alzheimer’s Disease Research Center, University of Pennsylvania Philadelphia PA USA
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12
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Bouhrara M, Triebswetter C, Kiely M, Bilgel M, Dolui S, Erus G, Meirelles O, Bryan NR, Detre JA, Launer LJ. Association of Cerebral Blood Flow With Longitudinal Changes in Cerebral Microstructural Integrity in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. JAMA Netw Open 2022; 5:e2231189. [PMID: 36094503 PMCID: PMC9468885 DOI: 10.1001/jamanetworkopen.2022.31189] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE Decreased cerebral tissue integrity and cerebral blood flow (CBF) are features of neurodegenerative diseases. Brain tissue maintenance is an energy-demanding process, making it particularly sensitive to hypoperfusion. However, little is known about the association between blood flow and brain microstructural integrity, including in normative aging. OBJECTIVE To assess associations between CBF and changes in cerebral tissue integrity in white matter and gray matter brain regions. DESIGN, SETTING, AND PARTICIPANTS In this longitudinal cohort study, magnetic resonance imaging was performed on 732 healthy adults from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a prospective longitudinal study (baseline age of 18-30 years) that examined participants up to 8 times during 30 years (1985-1986 to 2015-2016). Cerebral blood flow was measured at baseline (year 25 of the CARDIA study), and changes in diffusion tensor indices of fractional anisotropy (FA) and mean diffusivity (MD), measures of microstructural tissue integrity, were measured at both baseline and after approximately 5 years of follow-up (year 30). Analyses were conducted from November 5, 2020, to January 29, 2022. MAIN OUTCOMES AND MEASURES Automated algorithms and linear mixed-effects statistical models were used to evaluate the associations between CBF at baseline and changes in FA or MD. RESULTS After exclusion of participants with missing or low-quality data, 654 at baseline (342 women; mean [SD] age, 50.3 [3.5] years) and 433 at follow-up (230 women; mean [SD] age, 55.1 [3.5] years) were scanned for CBF or FA and MD imaging. In the baseline cohort, 247 participants were Black (37.8%) and 394 were White (60.2%); in the follow-up cohort, 156 were Black (36.0%) and 277 were White (64.0%). Cross-sectionally, FA and MD were associated with CBF in most regions evaluated, with lower CBF values associated with lower FA or higher MD values, including the frontal white matter lobes (for CBF and MD: mean [SE] β = -1.4 [0.5] × 10-6; for CBF and FA: mean [SE] β = 2.9 [1.0] × 10-4) and the parietal white matter lobes (for CBF and MD: mean [SE] β = -2.4 [0.6] × 10-6; for CBF and FA: mean [SE] β = 4.4 [1.1] × 10-4). Lower CBF values at baseline were also significantly associated with steeper regional decreases in FA or increases in MD in most brain regions investigated, including the frontal (for CBF and MD: mean [SE] β = -1.1 [0.6] × 10-6; for CBF and FA: mean [SE] β = 2.9 [1.0] × 10-4) and parietal lobes (for CBF and MD: mean [SE] β = -1.5 [0.7] × 10-6; for CBF and FA: mean [SE] β = 4.4 [1.1] × 10-4). CONCLUSIONS AND RELEVANCE Results of this longitudinal cohort study of the association between CBF and diffusion tensor imaging metrics suggest that blood flow may be significantly associated with brain tissue microstructure. This work may lay the foundation for investigations to clarify the nature of early brain damage in neurodegeneration. Such studies may lead to new neuroimaging biomarkers of brain microstructure and function for disease progression.
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Affiliation(s)
- Mustapha Bouhrara
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Curtis Triebswetter
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Matthew Kiely
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Osorio Meirelles
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Nick R. Bryan
- Department of Diagnostic Medicine, University of Texas, Austin
| | - John A. Detre
- Department of Radiology, University of Pennsylvania, Philadelphia
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
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13
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Clement P, Petr J, Dijsselhof MBJ, Padrela B, Pasternak M, Dolui S, Jarutyte L, Pinter N, Hernandez-Garcia L, Jahn A, Kuijer JPA, Barkhof F, Mutsaerts HJMM, Keil VC. A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing. Front Radiol 2022; 2:929533. [PMID: 37492666 PMCID: PMC10365107 DOI: 10.3389/fradi.2022.929533] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/23/2022] [Indexed: 07/27/2023]
Abstract
Arterial spin labeling (ASL) is a non-invasive and cost-effective MRI technique for brain perfusion measurements. While it has developed into a robust technique for scientific and clinical use, its image processing can still be daunting. The 2019 Ann Arbor ISMRM ASL working group established that education is one of the main areas that can accelerate the use of ASL in research and clinical practice. Specifically, the post-acquisition processing of ASL images and their preparation for region-of-interest or voxel-wise statistical analyses is a topic that has not yet received much educational attention. This educational review is aimed at those with an interest in ASL image processing and analysis. We provide summaries of all typical ASL processing steps on both single-subject and group levels. The readers are assumed to have a basic understanding of cerebral perfusion (patho) physiology; a basic level of programming or image analysis is not required. Starting with an introduction of the physiology and MRI technique behind ASL, and how they interact with the image processing, we present an overview of processing pipelines and explain the specific ASL processing steps. Example video and image illustrations of ASL studies of different cases, as well as model calculations, help the reader develop an understanding of which processing steps to check for their own analyses. Some of the educational content can be extrapolated to the processing of other MRI data. We anticipate that this educational review will help accelerate the application of ASL MRI for clinical brain research.
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Affiliation(s)
- Patricia Clement
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Jan Petr
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
| | - Mathijs B. J. Dijsselhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Beatriz Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Maurice Pasternak
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, OT, Canada
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Lina Jarutyte
- School of Psychological Science, University of Bristol, England, United Kingdom
| | - Nandor Pinter
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Dent Neurologic Institute, Buffalo, Amherst, NY, United States
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, United States
| | - Luis Hernandez-Garcia
- fMRI Laboratory, Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Andrew Jahn
- fMRI Laboratory, Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Joost P. A. Kuijer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
- Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, United Kingdom
| | - Henk J. M. M. Mutsaerts
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
- Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, United Kingdom
| | - Vera C. Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
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14
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Adebimpe A, Bertolero M, Dolui S, Cieslak M, Murtha K, Baller EB, Boeve B, Boxer A, Butler ER, Cook P, Colcombe S, Covitz S, Davatzikos C, Davila DG, Elliott MA, Flounders MW, Franco AR, Gur RE, Gur RC, Jaber B, McMillian C, Milham M, Mutsaerts HJMM, Oathes DJ, Olm CA, Phillips JS, Tackett W, Roalf DR, Rosen H, Tapera TM, Tisdall MD, Zhou D, Esteban O, Poldrack RA, Detre JA, Satterthwaite TD. ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion. Nat Methods 2022; 19:683-686. [PMID: 35689029 PMCID: PMC10548890 DOI: 10.1038/s41592-022-01458-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 03/17/2022] [Indexed: 11/08/2022]
Abstract
Arterial spin labeled (ASL) magnetic resonance imaging (MRI) is the primary method for noninvasively measuring regional brain perfusion in humans. We introduce ASLPrep, a suite of software pipelines that ensure the reproducible and generalizable processing of ASL MRI data.
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Affiliation(s)
- Azeez Adebimpe
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Maxwell Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sudipto Dolui
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew Cieslak
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristin Murtha
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica B Baller
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Bradley Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Adam Boxer
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Ellyn R Butler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Phil Cook
- Penn Image Computing and Science Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stan Colcombe
- Child Mind Institute, New York, NY, USA
- Center for Brain Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Sydney Covitz
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diego G Davila
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark A Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew W Flounders
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neuromodulation in Depression and Stress, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alexandre R Franco
- Child Mind Institute, New York, NY, USA
- Center for Brain Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Basma Jaber
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Corey McMillian
- Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Milham
- Child Mind Institute, New York, NY, USA
- Center for Brain Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Henk J M M Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Desmond J Oathes
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neuromodulation in Depression and Stress, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Brain Science, Translation, Innovation, and Modulation Center, Perelmann School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher A Olm
- Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey S Phillips
- Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Will Tackett
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Howard Rosen
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Tinashe M Tapera
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - M Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dale Zhou
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oscar Esteban
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Psychology, Stanford University, Stanford, CA, USA
| | | | - John A Detre
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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15
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Kurella Tamura M, Gaussoin S, Pajewski NM, Zaharchuk G, Freedman BI, Rapp SR, Auchus AP, Haley WE, Oparil S, Kendrick J, Roumie CL, Beddhu S, Cheung AK, Williamson JD, Detre JA, Dolui S, Bryan RN, Nasrallah IM. Kidney Disease, Hypertension Treatment, and Cerebral Perfusion and Structure. Am J Kidney Dis 2022; 79:677-687.e1. [PMID: 34543687 PMCID: PMC8926938 DOI: 10.1053/j.ajkd.2021.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/28/2021] [Indexed: 11/11/2022]
Abstract
RATIONALE & OBJECTIVE The safety of intensive blood pressure (BP) targets is controversial for persons with chronic kidney disease (CKD). We studied the effects of hypertension treatment on cerebral perfusion and structure in individuals with and without CKD. STUDY DESIGN Neuroimaging substudy of a randomized trial. SETTING & PARTICIPANTS A subset of participants in the Systolic Blood Pressure Intervention Trial (SPRINT) who underwent brain magnetic resonance imaging studies. Presence of baseline CKD was assessed by estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (UACR). INTERVENTION Participants were randomly assigned to intensive (systolic BP <120 mm Hg) versus standard (systolic BP <140 mm Hg) BP lowering. OUTCOMES The magnetic resonance imaging outcome measures were the 4-year change in global cerebral blood flow (CBF), white matter lesion (WML) volume, and total brain volume (TBV). RESULTS A total of 716 randomized participants with a mean age of 68 years were enrolled; follow-up imaging occurred after a median 3.9 years. Among participants with eGFR <60 mL/min/1.73 m2 (n = 234), the effects of intensive versus standard BP treatment on change in global CBF, WMLs, and TBV were 3.38 (95% CI, 0.32 to 6.44) mL/100 g/min, -0.06 (95% CI, -0.16 to 0.04) cm3 (inverse hyperbolic sine-transformed), and -3.8 (95% CI, -8.3 to 0.7) cm3, respectively. Among participants with UACR >30 mg/g (n = 151), the effects of intensive versus standard BP treatment on change in global CBF, WMLs, and TBV were 1.91 (95% CI, -3.01 to 6.82) mL/100 g/min, 0.003 (95% CI, -0.13 to 0.13) cm3 (inverse hyperbolic sine-transformed), and -7.0 (95% CI, -13.3 to -0.3) cm3, respectively. The overall treatment effects on CBF and TBV were not modified by baseline eGFR or UACR; however, the effect on WMLs was attenuated in participants with albuminuria (P = 0.04 for interaction). LIMITATIONS Measurement variability due to multisite design. CONCLUSIONS Among adults with hypertension who have primarily early kidney disease, intensive versus standard BP treatment did not appear to have a detrimental effect on brain perfusion or structure. The findings support the safety of intensive BP treatment targets on brain health in persons with early kidney disease. FUNDING SPRINT was funded by the National Institutes of Health (including the National Heart, Lung, and Blood Institute; the National Institute of Diabetes and Digestive and Kidney Diseases; the National Institute on Aging; and the National Institute of Neurological Disorders and Stroke), and this substudy was funded by the National Institutes of Diabetes and Digestive and Kidney Diseases. TRIAL REGISTRATION SPRINT was registered at ClinicalTrials.gov with study number NCT01206062.
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Affiliation(s)
- Manjula Kurella Tamura
- Geriatric Research and Education Clinical Center, Palo Alto VA Health Care System, Palo Alto, CA; Division of Nephrology, Stanford University School of Medicine, Palo Alto, CA.
| | - Sarah Gaussoin
- Departments of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nicholas M Pajewski
- Departments of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Greg Zaharchuk
- Department of Radiology, Stanford University School of Medicine, Palo Alto, CA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Stephen R Rapp
- Psychiatry & Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Alexander P Auchus
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS
| | - William E Haley
- Department of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL
| | - Suzanne Oparil
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Jessica Kendrick
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO
| | - Christianne L Roumie
- VA Tennessee Valley Healthcare System Geriatrics Research and Education Clinical Center and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Srinivasan Beddhu
- Division of Nephrology & Hypertension, Department of Internal Medicine, University of Utah and Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT
| | - Alfred K Cheung
- Division of Nephrology & Hypertension, Department of Internal Medicine, University of Utah and Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT
| | - Jeff D Williamson
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - John A Detre
- Departments of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sudipto Dolui
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - R Nick Bryan
- Department of Diagnostic Medicine Dell Medical School, University of Texas Austin Austin, TX
| | - Ilya M Nasrallah
- Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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16
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Kim WSH, Luciw NJ, Atwi S, Shirzadi Z, Dolui S, Detre JA, Nasrallah IM, Swardfager W, Bryan RN, Launer LJ, MacIntosh BJ. Associations of white matter hyperintensities with networks of gray matter blood flow and volume in midlife adults: A coronary artery risk development in young adults magnetic resonance imaging substudy. Hum Brain Mapp 2022; 43:3680-3693. [PMID: 35429100 PMCID: PMC9294299 DOI: 10.1002/hbm.25876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
White matter hyperintensities (WMHs) are emblematic of cerebral small vessel disease, yet effects on the brain have not been well characterized at midlife. Here, we investigated whether WMH volume is associated with brain network alterations in midlife adults. Two hundred and fifty‐four participants from the Coronary Artery Risk Development in Young Adults study were selected and stratified by WMH burden into Lo‐WMH (mean age = 50 ± 3.5 years) and Hi‐WMH (mean age = 51 ± 3.7 years) groups of equal size. We constructed group‐level covariance networks based on cerebral blood flow (CBF) and gray matter volume (GMV) maps across 74 gray matter regions. Through consensus clustering, we found that both CBF and GMV covariance networks partitioned into modules that were largely consistent between groups. Next, CBF and GMV covariance network topologies were compared between Lo‐ and Hi‐WMH groups at global (clustering coefficient, characteristic path length, global efficiency) and regional (degree, betweenness centrality, local efficiency) levels. At the global level, there were no between‐group differences in either CBF or GMV covariance networks. In contrast, we found between‐group differences in the regional degree, betweenness centrality, and local efficiency of several brain regions in both CBF and GMV covariance networks. Overall, CBF and GMV covariance analyses provide evidence that WMH‐related network alterations are present at midlife.
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Affiliation(s)
- William S. H. Kim
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Nicholas J. Luciw
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sarah Atwi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Zahra Shirzadi
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
| | - Sudipto Dolui
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - John A. Detre
- Center for Functional Neuroimaging University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Neurology University of Pennsylvania Philadelphia Pennsylvania USA
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Ilya M. Nasrallah
- Department of Radiology University of Pennsylvania Philadelphia Pennsylvania USA
| | - Walter Swardfager
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Department of Pharmacology and Toxicology University of Toronto Toronto Ontario Canada
- Toronto Rehabilitation Institute, University Health Network Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
| | - Robert Nick Bryan
- Department of Diagnostic Medicine University of Texas Austin Texas USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science National Institute on Aging Bethesda Maryland USA
| | - Bradley J. MacIntosh
- Department of Medical Biophysics University of Toronto Toronto Ontario Canada
- Hurvitz Brain Sciences Program Sunnybrook Research Institute Toronto Ontario Canada
- Canadian Partnership for Stroke Recovery Sunnybrook Research Institute Toronto Ontario Canada
- Dr. Sandra Black Centre for Brain Resilience & Recovery Sunnybrook Research Institute Toronto Ontario Canada
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17
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Dolui S, Detre JA, Gaussoin SA, Herrick JS, Wang DJJ, Tamura MK, Cho ME, Haley WE, Launer LJ, Punzi HA, Rastogi A, Still CH, Weiner DE, Wright JT, Williamson JD, Wright CB, Bryan RN, Bress AP, Pajewski NM, Nasrallah IM. Association of Intensive vs Standard Blood Pressure Control With Cerebral Blood Flow: Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Neurol 2022; 79:380-389. [PMID: 35254390 PMCID: PMC8902686 DOI: 10.1001/jamaneurol.2022.0074] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
IMPORTANCE Antihypertensive treatments benefit cerebrovascular health and cognitive function in patients with hypertension, but it is uncertain whether an intensive blood pressure target leads to potentially harmful cerebral hypoperfusion. OBJECTIVE To investigate the association of intensive systolic blood pressure (SBP) control vs standard control with whole-brain cerebral blood flow (CBF). DESIGN, SETTING, AND PARTICIPANTS This substudy of the Systolic Blood Pressure Intervention Trial (SPRINT) randomized clinical trial compared the efficacy of 2 different blood pressure-lowering strategies with longitudinal brain magnetic resonance imaging (MRI) including arterial spin labeled perfusion imaging to quantify CBF. A total of 1267 adults 50 years or older with hypertension and increased cardiovascular risk but free of diabetes or dementia were screened for the SPRINT substudy from 6 sites in the US. Randomization began in November 2010 with final follow-up MRI in July 2016. Analyses were performed from September 2020 through December 2021. INTERVENTIONS Study participants with baseline CBF measures were randomized to an intensive SBP target less than 120 mm Hg or standard SBP target less than 140 mm Hg. MAIN OUTCOMES AND MEASURES The primary outcome was change in whole-brain CBF from baseline. Secondary outcomes were change in gray matter, white matter, and periventricular white matter CBF. RESULTS Among 547 participants with CBF measured at baseline, the mean (SD) age was 67.5 (8.1) years and 219 (40.0%) were women; 315 completed follow-up MRI at a median (IQR) of 4.0 (3.7-4.1) years after randomization. Mean whole-brain CBF increased from 38.90 to 40.36 (difference, 1.46 [95% CI, 0.08-2.83]) mL/100 g/min in the intensive treatment group, with no mean increase in the standard treatment group (37.96 to 37.12; difference, -0.84 [95% CI, -2.30 to 0.61] mL/100 g/min; between-group difference, 2.30 [95% CI, 0.30-4.30; P = .02]). Gray, white, and periventricular white matter CBF showed similar changes. The association of intensive vs standard treatment with CBF was generally similar across subgroups defined by age, sex, race, chronic kidney disease, SBP, orthostatic hypotension, and frailty, with the exception of an indication of larger mean increases in CBF associated with intensive treatment among participants with a history of cardiovascular disease (interaction P = .05). CONCLUSIONS AND RELEVANCE Intensive vs standard antihypertensive treatment was associated with increased, rather than decreased, cerebral perfusion, most notably in participants with a history of cardiovascular disease. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia.,Department of Neurology, University of Pennsylvania, Philadelphia
| | - Sarah A Gaussoin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jennifer S Herrick
- Department of Population Health Sciences, University of Utah, Salt Lake City
| | - Danny J J Wang
- Laboratory of FMRI Technology, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles.,Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles
| | - Manjula Kurella Tamura
- Geriatric Research and Education Clinical Center, Palo Alto Veterans Affairs Health Care System, Palo Alto, California.,Division of Nephrology, Stanford University School of Medicine, Palo Alto, California
| | - Monique E Cho
- Division of Nephrology and Hypertension, University of Utah, Salt Lake City
| | - William E Haley
- Department of Nephrology and Hypertension, Mayo Clinic, Jacksonville, Florida
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - Henry A Punzi
- Trinity Hypertension and Metabolic Research Institute, Punzi Medical Center, Carrollton, Texas.,Department of Family and Community Medicine, University of Texas Southwestern Medical Center, Dallas
| | - Anjay Rastogi
- Department of Medicine, University of California at Los Angeles School of Medicine, Los Angeles
| | - Carolyn H Still
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio
| | - Daniel E Weiner
- William B. Schwartz, MD, Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Jackson T Wright
- Division of Nephrology and Hypertension, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Jeff D Williamson
- Sticht Center on Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Clinton B Wright
- Stroke Branch (intramural)/Division of Clinical Research (extramural), National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - R Nick Bryan
- Department of Diagnostic Medicine; Dell Medical School, University of Texas at Austin, Austin
| | - Adam P Bress
- Department of Population Health Sciences, University of Utah, Salt Lake City
| | - Nicholas M Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia
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18
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Sadaghiani S, Dolui S, Tisdall DM, Tackett W, Wolk DA, Detre JA. Associations between cortical microinfarcts and MRI markers of neurodegeneration and cerebrovascular disease in aging. Alzheimers Dement 2021. [DOI: 10.1002/alz.057833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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19
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Li Z, Dolui S, Habes M, Bassett DS, Wolk D, Detre JA. Predicted disconnectome associated with progressive periventricular white matter ischemia. Cereb Circ Cogn Behav 2021; 2:100022. [PMID: 36324715 PMCID: PMC9616229 DOI: 10.1016/j.cccb.2021.100022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 11/21/2022]
Abstract
We used a virtual lesion DTI fiber tracking approach with healthy subject DTI data and simulated periventricular white matter (PVWM) lesion masks to predict the sequence of connectivity changes associated with progressive PVWM ischemia. We found that the optic radiations, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, corpus callosum, temporopontine tract and fornix were affected in early simulated ischemic injury, and that the connectivity of subcortical, cerebellar, and visual regions were significantly disrupted with increasing simulated lesion severity. The results of this study provide insights into the spatial-temporal changes of the brain structural connectome under progressive PVWM ischemia. The virtual lesion approach provides a meaningful proxy to the spatial-temporal changes of the brain's structural connectome and can be used to further characterize the cognitive sequelae of progressive PVWM ischemia in both normal aging and dementia.
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Affiliation(s)
- Zhengjun Li
- Departments of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce Street, Philadelphia, PA 19104, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
| | - Sudipto Dolui
- Radiology, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
| | - Mohamad Habes
- Departments of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce Street, Philadelphia, PA 19104, USA
- Radiology, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
- Biggs institute neuroimaging core (BINC), Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, USA
| | - Danielle S. Bassett
- Departments of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce Street, Philadelphia, PA 19104, USA
- Psychiatry, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
- The Santa Fe Institute, USA
| | - David Wolk
- Departments of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce Street, Philadelphia, PA 19104, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
| | - John A. Detre
- Departments of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce Street, Philadelphia, PA 19104, USA
- Radiology, USA
- Bioengineering, USA
- Physics & Astronomy, USA
- Electrical and Systems Engineering, University of Pennsylvania Perelman School of Medicine, USA
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20
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Nasrallah IM, Gaussoin SA, Pomponio R, Dolui S, Erus G, Wright CB, Launer LJ, Detre JA, Wolk DA, Davatzikos C, Williamson JD, Pajewski NM, Bryan RN. Association of Intensive vs Standard Blood Pressure Control With Magnetic Resonance Imaging Biomarkers of Alzheimer Disease: Secondary Analysis of the SPRINT MIND Randomized Trial. JAMA Neurol 2021; 78:568-577. [PMID: 33683313 PMCID: PMC7941253 DOI: 10.1001/jamaneurol.2021.0178] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Importance Meta-analyses of randomized clinical trials have indicated that improved hypertension control reduces the risk for cognitive impairment and dementia. However, it is unclear to what extent pathways reflective of Alzheimer disease (AD) pathology are affected by hypertension control. Objective To evaluate the association of intensive blood pressure control on AD-related brain biomarkers. Design, Setting, and Participants This is a substudy of the Systolic Blood Pressure Intervention Trial (SPRINT MIND), a multicenter randomized clinical trial that compared the efficacy of 2 different blood pressure-lowering strategies. Potential participants (n = 1267) 50 years or older with hypertension and without a history of diabetes or stroke were approached for a brain magnetic resonance imaging (MRI) study. Of these, 205 participants were deemed ineligible and 269 did not agree to participate; 673 and 454 participants completed brain MRI at baseline and at 4-year follow-up, respectively; the final follow-up date was July 1, 2016. Analysis began September 2019 and ended November 2020. Interventions Participants were randomized to either a systolic blood pressure goal of less than 120 mm Hg (intensive treatment: n = 356) or less than 140 mm Hg (standard treatment: n = 317). Main Outcomes and Measures Changes in hippocampal volume, measures of AD regional atrophy, posterior cingulate cerebral blood flow, and mean fractional anisotropy in the cingulum bundle. Results Among 673 recruited patients who had baseline MRI (mean [SD] age, 67.3 [8.2] years; 271 women [40.3%]), 454 completed the follow-up MRI at a median (interquartile range) of 3.98 (3.7-4.1) years after randomization. In the intensive treatment group, mean hippocampal volume decreased from 7.45 cm3 to 7.39 cm3 (difference, -0.06 cm3; 95% CI, -0.08 to -0.04) vs a decrease from 7.48 cm3 to 7.46 cm3 (difference, -0.02 cm3; 95% CI, -0.05 to -0.003) in the standard treatment group (between-group difference in change, -0.033 cm3; 95% CI, -0.062 to -0.003; P = .03). There were no significant treatment group differences for measures of AD regional atrophy, cerebral blood flow, or mean fractional anisotropy. Conclusions and Relevance Intensive treatment was associated with a small but statistically significant greater decrease in hippocampal volume compared with standard treatment, consistent with the observation that intensive treatment is associated with greater decreases in total brain volume. However, intensive treatment was not associated with changes in any of the other MRI biomarkers of AD compared with standard treatment. Trial Registration ClinicalTrials.gov Identifier: NCT01206062.
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Affiliation(s)
- Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Sarah A Gaussoin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Raymond Pomponio
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Clinton B Wright
- Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Baltimore, Maryland
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | | | - Jeff D Williamson
- Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Nicholas M Pajewski
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - R Nick Bryan
- Department of Diagnostic Medicine, Dell Medical School, University of Texas at Austin, Austin
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21
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Cook PF, Hoard VA, Dolui S, Frederick BD, Redfern R, Dennison SE, Halaska B, Bloom J, Kruse-Elliott KT, Whitmer ER, Trumbull EJ, Berns GS, Detre JA, D'Esposito M, Gulland FMD, Reichmuth C, Johnson SP, Field CL, Inglis BA. An MRI protocol for anatomical and functional evaluation of the California sea lion brain. J Neurosci Methods 2021; 353:109097. [PMID: 33581216 DOI: 10.1016/j.jneumeth.2021.109097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/29/2021] [Accepted: 02/04/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Domoic acid (DOM) is a neurotoxin produced by some harmful algae blooms in coastal waters. California sea lions (Zalophus californianus) exposed to DOM often strand on beaches where they exhibit a variety of symptoms, including seizures. These animals typically show hippocampal atrophy on MRI scans. NEW METHOD We describe an MRI protocol for comprehensive evaluation of DOM toxicosis in the sea lion brain. We intend to study brain development in pups exposed in utero. The protocol depicts the hippocampal formation as the primary region of interest. We include scans for quantitative morphometry, functional and structural connectivity, and a cerebral blood flow map. RESULTS High-resolution 3D anatomical scans facilitate post hoc slicing in arbitrary planes and accurate morphometry. We demonstrate the first cerebral blood flow map using MRI, and the first structural tractography from a live sea lion brain. COMPARISON WITH EXISTING METHODS Scans were compared to prior anatomical and functional studies in live sea lions, and structural connectivity in post mortem specimens. Hippocampal volumes were broadly in line with prior studies, with differences likely attributable to the 3D approach used here. Functional connectivity of the dorsal left hippocampus matched that found in a prior study conducted at a lower magnetic field, while structural connectivity in the live brain agreed with findings observed in post mortem studies. CONCLUSIONS Our protocol provides a comprehensive, longitudinal view of the functional and anatomical changes expected to result from DOM toxicosis. It can also screen for other common neurological pathologies and is suitable for any pinniped that can fit inside an MRI scanner.
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Affiliation(s)
- Peter F Cook
- Department of Biopsychology, New College of Florida, 5800 Bay Shore Road, Sarasota, FL, 34243, USA
| | - Vanessa A Hoard
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Blaise deB Frederick
- Department of Psychiatry, Harvard University Medical School, 25 Shattuck St, Boston, MA, 02115, USA; McLean Hospital Brain Imaging Center, 115 Mill St., Belmont, MA, 02478, USA
| | - Richard Redfern
- Henry H. Wheeler, Jr. Brain Imaging Center, 188 Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley, CA, 94720, USA
| | | | - Barbie Halaska
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Josh Bloom
- AnimalScan Advanced Veterinary Imaging, 934 Charter St, Redwood City, CA, 94063, USA
| | - Kris T Kruse-Elliott
- AnimalScan Advanced Veterinary Imaging, 934 Charter St, Redwood City, CA, 94063, USA
| | - Emily R Whitmer
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Emily J Trumbull
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Gregory S Berns
- Psychology Department, Emory University, 36 Eagle Row, Atlanta, GA, 30322, USA
| | - John A Detre
- Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, Philadelphia, PA, 19104, USA; Department of Neurology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA, 19104, USA
| | - Mark D'Esposito
- Henry H. Wheeler, Jr. Brain Imaging Center, 188 Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley, CA, 94720, USA; Helen Wills Neuroscience Institute, University of California, 132 Barker Hall, Berkeley, CA, 94720, USA
| | - Frances M D Gulland
- School of Veterinary Medicine Wildlife Health Center, University of California at Davis, 1089 Veterinary Medicine Dr, Davis, CA, 95616, USA
| | - Colleen Reichmuth
- Long Marine Laboratory, Institute of Marine Sciences, University of California at Santa Cruz, 115 McAllister Way, Santa Cruz, CA, 95060, USA
| | - Shawn P Johnson
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Cara L Field
- The Marine Mammal Center, 2000 Bunker Road, Sausalito, CA, 94965, USA
| | - Ben A Inglis
- Henry H. Wheeler, Jr. Brain Imaging Center, 188 Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley, CA, 94720, USA.
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22
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Datta R, Bacchus MK, Kumar D, Elliott MA, Rao A, Dolui S, Reddy R, Banwell BL, Saranathan M. Fast automatic segmentation of thalamic nuclei from MP2RAGE acquisition at 7 Tesla. Magn Reson Med 2020; 85:2781-2790. [PMID: 33270943 DOI: 10.1002/mrm.28608] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/29/2020] [Accepted: 10/30/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE Thalamic nuclei are largely invisible in conventional MRI due to poor contrast. Thalamus Optimized Multi-Atlas Segmentation (THOMAS) provides automatic segmentation of 12 thalamic nuclei using white-matter-nulled (WMn) Magnetization Prepared Rapid Gradient Echo (MPRAGE) sequence at 7T, but increases overall scan duration. Routinely acquired, bias-corrected Magnetization Prepared 2 Rapid Gradient Echo (MP2RAGE) sequence yields superior tissue contrast and quantitative T1 maps. Application of THOMAS to MP2RAGE has been investigated in this study. METHODS Eight healthy volunteers and five pediatric-onset multiple sclerosis patients were recruited at Children's Hospital of Philadelphia and scanned at Siemens 7T with WMn-MPRAGE and multi-echo-MP2RAGE (ME-MP2RAGE) sequences. White-matter-nulled contrast was synthesized (MP2-SYN) from T1 maps from ME-MP2RAGE sequence. Thalamic nuclei were segmented using THOMAS joint label fusion algorithm from WMn-MPRAGE and MP2-SYN datasets. THOMAS pipeline was modified to use majority voting to segment bias corrected T1-weighted uniform (MP2-UNI) images. Thalamic nuclei from MP2-SYN and MP2-UNI images were evaluated against corresponding nuclei obtained from WMn-MPRAGE images using dice coefficients, volume similarity indices (VSIs) and distance between centroids. RESULTS For MP2-SYN, dice > 0.85 and VSI > 0.95 was achieved for five larger nuclei and dice > 0.6 and VSI > 0.7 was achieved for seven smaller nuclei. The dice and VSI were slightly higher, whereas the distance between centroids were smaller for MP2-SYN compared to MP2-UNI, indicating improved performance using the MP2-SYN image. CONCLUSIONS THOMAS algorithm can successfully segment thalamic nuclei in MP2RAGE images with essentially equivalent quality as WMn-MPRAGE, widening its applicability in studies focused on thalamic involvement in aging and disease.
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Affiliation(s)
- Ritobrato Datta
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Micky K Bacchus
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Dushyant Kumar
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark A Elliott
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Aditya Rao
- Biological Basis of Behavior Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sudipto Dolui
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ravinder Reddy
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brenda L Banwell
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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23
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Dolui S, Detre JA, Cho ME, Haley WE, Launer LJ, Punzi HA, Rastogi A, Still CH, Weiner DE, Wright J, Williamson JD, Wright CB, Nasrallah IM. Effect of intensive versus standard blood pressure control on cerebral blood flow in SPRINT. Alzheimers Dement 2020. [DOI: 10.1002/alz.042155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | | | | | | | - Anjay Rastogi
- David Geffen School of Medicine at UCLA Los Angeles CA USA
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24
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Moonen JE, Nasrallah IM, Detre JA, Dolui S, Erus G, Davatzikos C, Meirelles O, Bryan R, Launer LJ. Race and sex differences in midlife changes in cerebral volume and perfusion. Alzheimers Dement 2020. [DOI: 10.1002/alz.040248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
| | | | | | | | - Guray Erus
- University of Pennsylvania Philadelphia PA USA
| | | | | | - R.N. Bryan
- University of Texas Medical Branch Austin TX USA
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25
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Milej D, He L, Abdalmalak A, Baker WB, Anazodo UC, Diop M, Dolui S, Kavuri VC, Pavlosky W, Wang L, Balu R, Detre JA, Amendolia O, Quattrone F, Kofke WA, Yodh AG, St Lawrence K. Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy: Validation against MRI. J Cereb Blood Flow Metab 2020; 40:1672-1684. [PMID: 31500522 PMCID: PMC7370369 DOI: 10.1177/0271678x19872564] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 07/29/2019] [Indexed: 12/11/2022]
Abstract
The purpose of this study was to assess the accuracy of absolute cerebral blood flow (CBF) measurements obtained by dynamic contrast-enhanced (DCE) near-infrared spectroscopy (NIRS) using indocyanine green as a perfusion contrast agent. For validation, CBF was measured independently using the MRI perfusion method arterial spin labeling (ASL). Data were acquired at two sites and under two flow conditions (normocapnia and hypercapnia). Depth sensitivity was enhanced using time-resolved detection, which was demonstrated in a separate set of experiments using a tourniquet to temporally impede scalp blood flow. A strong correlation between CBF measurements from ASL and DCE-NIRS was observed (slope = 0.99 ± 0.08, y-intercept = -1.7 ± 7.4 mL/100 g/min, and R2 = 0.88). Mean difference between the two techniques was 1.9 mL/100 g/min (95% confidence interval ranged from -15 to 19 mL/100g/min and the mean ASL CBF was 75.4 mL/100 g/min). Error analysis showed that structural information and baseline absorption coefficient were needed for optimal CBF reconstruction with DCE-NIRS. This study demonstrated that DCE-NIRS is sensitive to blood flow in the adult brain and can provide accurate CBF measurements with the appropriate modeling techniques.
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Affiliation(s)
- Daniel Milej
- Department of Medical Biophysics, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Lian He
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
| | - Androu Abdalmalak
- Department of Medical Biophysics, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Wesley B Baker
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, USA
| | - Udunna C Anazodo
- Department of Medical Biophysics, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Mamadou Diop
- Department of Medical Biophysics, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Sudipto Dolui
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Venkaiah C Kavuri
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
| | - William Pavlosky
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Lin Wang
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
| | - Ramani Balu
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Olivia Amendolia
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Francis Quattrone
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - W Andrew Kofke
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Arjun G Yodh
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
| | - Keith St Lawrence
- Department of Medical Biophysics, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
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Ware JB, Dolui S, Duda J, Gaggi N, Choi R, Detre J, Whyte J, Diaz-Arrastia R, Kim JJ. Relationship of Cerebral Blood Flow to Cognitive Function and Recovery in Early Chronic Traumatic Brain Injury. J Neurotrauma 2020; 37:2180-2187. [PMID: 32349614 DOI: 10.1089/neu.2020.7031] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Traumatic brain injury (TBI) is a leading cause of morbidity worldwide, for which biomarkers are needed to better understand the underlying pathophysiology. Microvascular injury represents a subset of pathological mechanisms contributing to cognitive dysfunction after TBI, which may also impair subsequent neural repair thereby inhibiting cognitive recovery. Magnetic resonance imaging (MRI)-based measurement of cerebral blood flow (CBF) by arterial spin labeling (ASL) provides an appealing means of assessing microvascular disruption in TBI; however, the relationship between CBF alterations in the early chronic post-TBI setting and cognitive dysfunction as well as subsequent cognitive recovery remain poorly understood. Structural MRI and ASL were performed in 42 TBI subjects 3 months post-injury and 35 matched healthy controls. Neuropsychological testing was performed in each subject, as well as in a subset of TBI patients (n = 33) at 6 and/or 12 months post-injury. TBI and control subject CBF data were compared between groups in a voxel-wise fashion while controlling for the effects of structural atrophy. A region-of-interest approach was then used to compare CBF to clinical and neuropsychological measures within the TBI group in a cross-sectional fashion, as well as to the degree of subsequent cognitive recovery among subjects with follow-up testing. At 3 months post-injury, the TBI group demonstrated lower performance in each cognitive domain (p < 0.05), as well as widespread reductions in gray matter CBF independent of structural atrophy (p < 0.05). Within the TBI group, CBF was moderately correlated with injury severity (r = -0.43; p = 0.009) and executive function (r = 0.43; p = 0.01). In the longitudinal analysis, there was a positive correlation between initial CBF and processing speed recovery (r = 0.43; p = 0.015) independent of age, education level, and initial test score. Early chronic TBI is associated with widespread gray matter CBF deficits, which are correlated with injury severity and cognitive dysfunction. CBF may predict subsequent recovery in some cognitive domains.
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Affiliation(s)
- Jeffrey B Ware
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeffrey Duda
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Naomi Gaggi
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robin Choi
- Department of Molecular, Cellular, and Biomedical Sciences, City University of New York School of Medicine, New York, New York, USA
| | - John Detre
- Moss Rehabilitation Research Institute, Philadelphia, Pennsylvania, USA
| | - John Whyte
- Department of Molecular, Cellular, and Biomedical Sciences, City University of New York School of Medicine, New York, New York, USA
| | | | - Junghoon J Kim
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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27
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Ketcherside A, Jagannathan K, Dolui S, Hager N, Spilka N, Nutor C, Rao H, Franklin T, Wetherill R. Baclofen-induced Changes in the Resting Brain Modulate Smoking Cue Reactivity: A Double-blind Placebo-controlled Functional Magnetic Resonance Imaging Study in Cigarette Smokers. Clin Psychopharmacol Neurosci 2020; 18:289-302. [PMID: 32329309 PMCID: PMC7242101 DOI: 10.9758/cpn.2020.18.2.289] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 11/01/2019] [Accepted: 01/04/2020] [Indexed: 01/04/2023]
Abstract
Objective Smoking cue-(SC) elicited craving can lead to relapse in SC-vulnerable individuals. Thus, identifying treatments that target SC-elicited craving is a top research priority. Reduced drug cue neural activity is associated with recovery and is marked by a profile of greater tonic (resting) activation in executive control regions, and increased connectivity between executive and salience regions. Evidence suggests the GABA-B agonist baclofen can reduce drug cue-elicited neural activity, potentially through its actions on the resting brain. Based on the literature, we hypothesize that baclofen’s effects in the resting brain can predict its effects during SC exposure. Methods In this longitudinal, double blind, placebo-controlled neuropharmacological study 43 non-abstinent, sated treatment-seeking cigarette smokers (63% male) participated in an fMRI resting-state scan and a SC-reactivity task prior to (T1) and 3 weeks following randomization (T2; baclofen: 80 mg/day; n = 21). Subjective craving reports were acquired before and after SC exposure to explicitly examine SC-induced craving. Results Whole-brain full-factorial analysis revealed a group-by-time interaction with greater resting brain activation of the right dorsolateral prefrontal cortex (dlPFC) at T2 in the baclofen group (BAC) (pFWEcorr = 0.02), which was associated with reduced neural responses to SCs in key cue-reactive brain regions; the anterior ventral insula and ventromedial prefrontal cortex (pFWEcorr < 0.01). BAC, but not the placebo group reported decreased SC-elicited craving (p = 0.02). Conclusion Results suggest that baclofen mitigates the reward response to SCs through an increase in tonic activation of the dlPFC, an executive control region. Through these mechanisms, baclofen may offer SC-vulnerable smokers protection from SC-induced relapse.
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Affiliation(s)
- Ariel Ketcherside
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kanchana Jagannathan
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sudipto Dolui
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nathan Hager
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Psychology, Old Dominion University, Norfolk, VA, USA
| | - Nathaniel Spilka
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Chaela Nutor
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hengyi Rao
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Teresa Franklin
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Reagan Wetherill
- The Center for Studies of Addiction, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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28
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Chand GB, Habes M, Dolui S, Detre JA, Wolk DA, Davatzikos C. Estimating regional cerebral blood flow using resting-state functional MRI via machine learning. J Neurosci Methods 2020; 331:108528. [PMID: 31756399 DOI: 10.1016/j.jneumeth.2019.108528] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/25/2019] [Accepted: 11/18/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Perfusion MRI is an important modality in many brain imaging protocols, since it probes cerebrovascular changes in aging and many diseases; however, it may not be always available. NEW METHOD We introduce a new method that seeks to estimate regional perfusion properties using spectral information of resting-state functional MRI (rsfMRI) via machine learning. We used pairs of rsfMRI and arterial spin labeling (ASL) images from the same individuals with normal cognition and mild cognitive impairment (MCI), and built support vector machine models aiming to estimate regional cerebral blood flow (CBF) from the rsfMRI signal alone. RESULTS This method demonstrated higher associations between the estimated CBF and actual CBF (ASL-CBF) at the total lobar gray matter (r = 0.40; FDR-p = 1.9e-03), parietal lobe (r = 0.46, FDR-p = 8e-04), and occipital lobe (r = 0.35; FDR-p = 0.01) using rsfMRI signals of frequencies [0.01-0.15] Hertz compared to frequencies [0.01-0.10] Hertz and [0.01-0.20] Hertz. We further observed significant associations between the estimated CBF and actual CBF in 24 regions of interest (p < 0.05), with the highest association observed in the superior parietal lobule (r = 0.50, FDR-p = 0.002). Moreover, the estimated CBF at superior parietal lobule showed significant correlation with the mini-mental state exam (MMSE) score (r = 0.27; FDR-p = 0.04) and decreased in MCI with lower MMSE score compared to NC group (FDR-p = 0.04). COMPARISON WITH EXISTING METHODS Consistent with previous findings, this new method also suggests that rsfMRI signals contain perfusion information. CONCLUSION The proposed framework can obtain estimates of regional perfusion from rsfMRI, which can serve as surrogate perfusion measures in the absence of ASL.
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Affiliation(s)
- Ganesh B Chand
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - Mohamad Habes
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sudipto Dolui
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John A Detre
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christos Davatzikos
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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29
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Dolui S, Li Z, Nasrallah IM, Detre JA, Wolk DA. Arterial spin labeling versus 18F-FDG-PET to identify mild cognitive impairment. Neuroimage Clin 2019; 25:102146. [PMID: 31931403 PMCID: PMC6957781 DOI: 10.1016/j.nicl.2019.102146] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 12/19/2019] [Accepted: 12/21/2019] [Indexed: 01/08/2023]
Abstract
18F-FDG-PET is a neurodegeneration biomarker, but is costly and requires a radioactive tracer. Arterial spin labeled perfusion MRI (ASL-MRI) provides similar information noninvasively. We compared ASL-MRI and FDG-PET in mild cognitive impairment (MCI) and older controls. At a group level, patterns and strength of ASL hypoperfusion and FDG-PET hypometabolism in MCI were comparable. ASL can provide a reasonable alternative for FDG-PET in clinical research.
Neurodegenerative biomarkers support diagnosis and measurement of disease progression in the Alzheimer's disease (AD) continuum. 18F-Fluorodeoxyglucose Positron Emission Tomography (18F-FDG-PET), which measures glucose metabolism, is one of the most commonly used biomarkers of neurodegeneration, but is expensive and requires exposure to ionizing radiation. Arterial Spin Labeled (ASL) perfusion Magnetic Resonance Imaging (MRI) provides non invasive quantification of cerebral blood flow (CBF), which is believed to be tightly coupled to glucose metabolism. Here we aimed to compare the performances of ASL derived CBF and 18F-FDG-PET derived standardized uptake value ratio (SUVR) in discriminating patients with mild cognitive impairment (MCI) from older Controls. 2D pseudo continuous ASL and 18F-FDG-PET data with adequate scan quality from 50 MCI study participants (age=73.0 ± 7.0 years, 16 female) and 35 older controls (age=70.2 ± 6.9 years, 20 female), acquired in close temporal proximity, usually on the same day, were considered for this study. We assessed Control-patient group differences both at voxel level and within a priori regions of interest (ROIs). We also compared their area under receiver operating characteristic curves (AUC) with mean CBF or SUVR in a priori selected posterior cingulate cortex (PCC). CBF and 18F-FDG-PET showed abnormalities in similar areas, particularly in medial temporoparietal regions, consistent with the typically observed pattern of prodromal AD. The hypoperfusion pattern with relative CBF (obtained by normalizing voxel CBF values with mean CBF in putamen) was more localized than with absolute CBF. Pearson's correlation coefficients between the T-scores corresponding to the group-differences obtained with 18F-FDG-PET SUVR and absolute and relative ASL CBF were 0.46 and 0.43 (p<0.001), respectively. ROI analyses were also consistent, with the strongest differences observed in PCC (p<0.01). 18F-FDG-PET SUVR, absolute and relative CBF in the PCC ROI demonstrated moderate and similar discriminatory power in predicting MCI status with AUC of 0.71 ± 0.12, 0.77 ± 0.12 and 0.74 ± 0.13, respectively. In conclusion, ASL CBF may be a reasonable, less expensive and safer substitute for 18F-FDG-PET in clinical research.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Zhengjun Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States; Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
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30
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MacIntosh BJ, Shirzadi Z, Atwi S, Detre JA, Dolui S, Bryan RN, Launer LJ, Swardfager W. Metabolic and vascular risk factors are associated with reduced cerebral blood flow and poorer midlife memory performance. Hum Brain Mapp 2019; 41:855-864. [PMID: 31651075 PMCID: PMC7267901 DOI: 10.1002/hbm.24844] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 08/16/2019] [Accepted: 10/04/2019] [Indexed: 12/17/2022] Open
Abstract
Midlife metabolic and vascular risk factors (MVRFs) predict cognitive decline and dementia; however, these risk factors tend to overlap, and the mechanisms underlying their effects on cognitive performance are not well understood. This cross-sectional study investigates the contributions of MVRFs to regional cerebral blood flow (CBF) and verbal learning & memory among middle-aged adults. We used partial least squares (PLS) analysis to create latent risk factor profiles and examine their associations to CBF in 93 regions of interest among 451 participants (age 50.3 ± 3.5 years) of the Coronary Artery Risk Development in Young Adults. This multivariate analysis revealed regional CBF was lower in relation to obesity (higher body mass index and waist circumference), dysregulated glucose homeostasis (higher fasting glucose, oral glucose tolerance, and higher fasting insulin), and adverse fasting lipid profile (lower high-density lipoprotein cholesterol and higher triglycerides). In a sensitivity analysis, we found that significant associations between MVRFs and CBF were prominent in the hypertension-medicated subgroup. In a mediation model, the PLS-based MVRFs profile was associated with memory performance (rey auditory verbal learning test); however, CBF was not a significant mediator of this association. The results describe an adverse midlife metabolic profile that might set the stage for incipient dementia and contribute to widespread changes in CBF.
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Affiliation(s)
- Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Zahra Shirzadi
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Atwi
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert Nick Bryan
- Department of Diagnostic Medicine, University of Texas, Austin, Austin, Texas
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland
| | - Walter Swardfager
- Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,KITE, UHN-Toronto Rehab, Toronto, Ontario, Canada
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Nasrallah IM, Hsieh MK, Erus G, Battapady H, Dolui S, Detre JA, Launer LJ, Jacobs DR, Davatzikos C, Bryan RN. White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort. AJNR Am J Neuroradiol 2019; 40:1291-1298. [PMID: 31345946 DOI: 10.3174/ajnr.a6119] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 06/06/2019] [Indexed: 01/17/2023]
Abstract
BACKGROUND AND PURPOSE White matter lesions are 1 age-related manifestation of cerebrovascular disease, but subthreshold abnormalities have been identified in nonlesional WM. We hypothesized that structural and physiologic MR imaging findings of early cerebrovascular disease can be measured in middle-aged subjects in tissue adjacent to WM lesions, termed "penumbra." MATERIALS AND METHODS WM lesions were defined using automated segmentation in 463 subjects, 43-56 years of age, from the Coronary Artery Risk Development in Young Adults (CARDIA) longitudinal observational cohort study. We described 0- to 2-mm and 2- to 4-mm-thick spatially defined penumbral WM tissue ROIs as rings surrounding WM lesions. The remaining WM was defined as distant normal-appearing WM. Mean signal intensities were measured for FLAIR, T1-, and T2-weighted images, and from fractional anisotropy, mean diffusivity, CBF, and vascular reactivity maps. Group comparisons were made using Kruskal-Wallis and pair-wise t tests. RESULTS Lesion volumes averaged 0.738 ± 0.842 cm3 (range, 0.005-7.27 cm3). Mean signal intensity for FLAIR, T2, and mean diffusivity was increased, while T1, fractional anisotropy, and CBF were decreased in white matter lesions versus distant normal-appearing WM, with penumbral tissues showing graded intermediate values (corrected P < .001 for all group/parameter comparisons). Vascular reactivity was significantly elevated in white matter lesions and penumbral tissue compared with distant normal-appearing white matter (corrected P ≤ .001). CONCLUSIONS Even in relatively healthy 43- to 56-year-old subjects with small white matter lesion burden, structural and functional MR imaging in penumbral tissue reveals significant signal abnormalities versus white matter lesions and other normal WM. Findings suggest that the onset of WM injury starts by middle age and involves substantially more tissue than evident from focal white matter lesions visualized on structural imaging.
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Affiliation(s)
- I M Nasrallah
- From the Department of Radiology (I.M.N., R.N.B.) .,Center for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
| | - M-K Hsieh
- Center for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
| | - G Erus
- Center for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
| | - H Battapady
- Center for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
| | - S Dolui
- Department of Neurology (S.D., J.A.D.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - J A Detre
- Department of Neurology (S.D., J.A.D.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - L J Launer
- National Institute on Aging (L.J.L.), National Institutes of Health, Bethesda, Maryland
| | - D R Jacobs
- Division of Epidemiology (D.R.J.), School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - C Davatzikos
- Center for Biomedical Image Computing and Analytics (I.M.N., M.-K.H., G.E., H.B., C.D.)
| | - R N Bryan
- From the Department of Radiology (I.M.N., R.N.B.)
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Elbejjani M, Auer R, Dolui S, Jacobs DR, Haight T, Goff DC, Detre JA, Davatzikos C, Bryan RN, Launer LJ. Cigarette smoking and cerebral blood flow in a cohort of middle-aged adults. J Cereb Blood Flow Metab 2019; 39:1247-1257. [PMID: 29355449 PMCID: PMC6668508 DOI: 10.1177/0271678x18754973] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 12/06/2017] [Indexed: 11/15/2022]
Abstract
Cigarette smoking is often associated with dementia. This association is thought to be mediated by hypoperfusion; however, how smoking behavior relates to cerebral blood flow (CBF) remains unclear. Using data from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort (mean age = 50; n = 522), we examined the association between smoking behavior (status, cumulative pack-years, age at smoking initiation, and years since cessation) and CBF (arterial spin labeling) in brain lobes and regions linked to dementia. We used adjusted linear regression models and tested whether associations differed between current and former-smokers. Compared to never-smokers, former-smokers had lower CBF in the parietal and occipital lobes, cuneus, precuneus, putamen, and insula; in contrast, current-smokers did not have lower CBF. The relationship between pack-years and CBF was different between current and former-smokers (p for interaction < 0.05): Among current-smokers, higher pack-years were associated with higher occipital, temporal, cuneus, putamen, insula, hippocampus, and caudate CBF; former-smokers had lower caudate CBF with increasing pack-years. Results show links between smoking and CBF at middle-age in regions implicated in cognitive and compulsive/addictive processes. Differences between current and former smoking suggest that distinct pathological and/or compensatory mechanisms may be involved depending on the timing and history of smoking exposure.
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Affiliation(s)
- Martine Elbejjani
- Laboratory of Epidemiology and
Population Sciences,
National
Institute on Aging, Bethesda, MD, USA
| | - Reto Auer
- Institute of Primary Health Care
(BIHAM), University of Bern, Bern, Switzerland
| | - Sudipto Dolui
- Department of Radiology, University of
Pennsylvania Health System, Philadelphia, PA, USA
| | - David R Jacobs
- Division of Epidemiology and Community
Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Thaddeus Haight
- Laboratory of Epidemiology and
Population Sciences,
National
Institute on Aging, Bethesda, MD, USA
| | - David C Goff
- National Heart, Lung, and Blood
Institute, Bethesda, MD, USA
| | - John A Detre
- Department of Neurology; University of
Pennsylvania Health System, Philadelphia, PA, USA
| | - Christos Davatzikos
- Department of Radiology, University of
Pennsylvania Health System, Philadelphia, PA, USA
| | - R Nick Bryan
- Department of Radiology, University of
Pennsylvania Health System, Philadelphia, PA, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and
Population Sciences,
National
Institute on Aging, Bethesda, MD, USA
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Dolui S, Tisdall D, Vidorreta M, Jacobs DR, Nasrallah IM, Bryan RN, Wolk DA, Detre JA. Characterizing a perfusion-based periventricular small vessel region of interest. Neuroimage Clin 2019; 23:101897. [PMID: 31233954 PMCID: PMC6595083 DOI: 10.1016/j.nicl.2019.101897] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 06/04/2019] [Accepted: 06/11/2019] [Indexed: 10/27/2022]
Abstract
The periventricular white matter (PVWM) is supplied by terminal distributions of small vessels and is particularly susceptible to developing white matter lesions (WML) associated with cerebral small vessel disease (CSVD). We obtained group-averaged cerebral blood flow (CBF) maps from Arterial Spin Labeled (ASL) perfusion MRI data obtained in 436 middle-aged (50.4 ± 3.5 years) subjects in the NHLBI CARDIA study and in 61 elderly (73.3 ± 6.9 years) cognitively normal subjects recruited from the Penn Alzheimer's Disease Center (ADC) and found that the lowest perfused brain voxels are located within the PVWM. We constructed a white matter periventricular small vessel (PSV) region of interest (ROI) by empirically thresholding the group averaged CARDIA CBF map at CBF < 15 ml/100 g/min. Thereafter we compared CBF in the PSV ROI and in the remaining white matter (RWM) with the location and volume of WML measured with Fluid Attenuated Inversion Recovery (FLAIR) MRI. WM CBF was lower within WML than outside WML voxels (p < <0.0001) in both the PSV and RWM ROIs, however this difference was much smaller (p < <0.0001) in the PSV ROI than in the RWM suggesting a more homogenous reduction of CBF in the PSV region. Normalized WML volumes were significantly higher in the PSV ROI than in the RWM and in the elderly cohort as compared to the middle-aged cohort (p < <0.0001). Additionally, the PSV ROI showed a significantly (p = .001) greater increase in lesion volume than the RWM in the elderly ADC cohort than the younger CARDIA cohort. Considerable intersubject variability in PSV CBF observed in both study cohorts likely represents biological variability that may be predictive of future WML and/or cognitive decline. In conclusion, a data-driven PSV ROI defined by voxels with low perfusion in middle age defines a region with homogeneously reduced CBF that is particularly susceptible to progressive ischemic injury in elderly controls. PSV CBF may provide a mechanistically specific biomarker of CSVD.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Dylan Tisdall
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Marta Vidorreta
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Siemens Healthcare S.L.U., Madrid, Spain
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - R Nick Bryan
- Department of Diagnostic Medicine, University of Texas, Austin, Austin, TX, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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Xie L, Das SR, Pilania A, Daffner M, Stockbower GE, Dolui S, Yushkevich PA, Detre JA, Wolk DA. Task-enhanced arterial spin labeled perfusion MRI predicts longitudinal neurodegeneration in mild cognitive impairment. Hippocampus 2018; 29:26-36. [PMID: 30207006 DOI: 10.1002/hipo.23026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 07/09/2018] [Accepted: 09/02/2018] [Indexed: 12/11/2022]
Abstract
Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease (AD), but is also recognized to be a heterogeneous condition. Biomarkers that predict AD progression in MCI are of clinical significance because they can be used to better identify appropriate candidates for therapeutic intervention studies. It has been hypothesized that comparing to structural measurements, functional ones may be more sensitive to early disease abnormalities and the sensitivity could be further enhanced when combined with cognitive task, a "brain stress test." In this study, we investigated the value of regional cerebral blood flow (CBF), measured by arterial spin labeled perfusion MRI (ASL MRI) during a memory-encoding task, in predicting the estimated rate of hippocampal atrophy, an established marker of AD progression. Thirty-one amnestic MCI patients (20 male and 11 female; age: 70.9 ± 6.5 years, range from 56 to 83 years; mini mental status examination: 27.8 ± 1.8) and 42 normal control subjects (13 male and 29 female; age: 70.6 ± 8.8 years, range from 55 to 88 years; mini mental status examination: 29.1 ± 1.2) were included in this study. We compared the predictive value of CBF during task to CBF during rest and structural volumetry. Both region-of-interest and voxelwise analyses showed that baseline CBF measurements during task (strongest effect in fusiform gyrus, region-of-interest analysis statistics: r = 0.56, p = .003), but not resting ASL MRI or structural volumetry, were correlated with the estimated rate of hippocampal atrophy in amnestic MCI patients. Further, stepwise linear regression demonstrated that resting ASL MRI and volumetry did not provide complementary information in prediction. These results support the notion that physiologic measures during a cognitive challenge may increase the ability to detect subtle functional changes that predict progression. As such, ASL MRI could have important utility in stratifying candidates for AD treatment trials.
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Affiliation(s)
- Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sandhitsu R Das
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Arun Pilania
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Molly Daffner
- Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Grace E Stockbower
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sudipto Dolui
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Paul A Yushkevich
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Li Y, Dolui S, Xie DF, Wang Z. Priors-guided slice-wise adaptive outlier cleaning for arterial spin labeling perfusion MRI. J Neurosci Methods 2018; 307:248-253. [DOI: 10.1016/j.jneumeth.2018.06.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/13/2018] [Accepted: 06/13/2018] [Indexed: 12/20/2022]
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Dolui S, Vidorreta M, Wang Z, Nasrallah IM, Alavi A, Wolk DA, Detre JA. Comparison of PASL, PCASL, and background-suppressed 3D PCASL in mild cognitive impairment. Hum Brain Mapp 2017; 38:5260-5273. [PMID: 28737289 DOI: 10.1002/hbm.23732] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 05/30/2017] [Accepted: 07/09/2017] [Indexed: 12/21/2022] Open
Abstract
We compared three implementations of single-shot arterial spin labeled (ASL) perfusion magnetic resonance imaging: two-dimensional (2D) pulsed ASL (PASL), 2D pseudocontinuous ASL (PCASL), and background-suppressed (BS) 3D PCASL obtained in a cohort of patients with mild cognitive impairment (MCI) and elderly controls. Study subjects also underwent 18 F-fluorodeoxyglucose positron emission tomography (18 F-FDG PET). While BS 3D PCASL showed the lowest (P < 0.001) gray matter-white matter cerebral blood flow (CBF) contrast ratio, it provided the highest (P < 0.001) temporal signal-to-noise ratio. Mean relative CBF estimated using the PCASL methods in posterior cingulate cortex (PCC), precuneus, and hippocampus showed hypoperfusion in the MCI cohort compared to the controls consistent with hypometabolism measured by 18 F-FDG PET. BS 3D PCASL demonstrated the highest discrimination between controls and patients with effect size comparable to that seen with 18 F-FDG PET. 2D PASL did not demonstrate group differentiation with relative CBF in any ROI, whereas 2D PCASL demonstrated significant differences only in PCC and hippocampus. Mean global CBF values did not differ across methods and were highly correlated; however, the correlations were significantly higher (P < 0.001) when either the same labeling (PCASL) or the same acquisition strategy (2D) was used as compared to when both the labeling and readout methods differed. In addition, there were differences in regional distribution of CBF between the three modalities, which can be attributed to differences in sequence parameters. These results demonstrate the superiority of ASL with PCASL and BS 3D readout as a biomarker for regional brain function changes in MCI. Hum Brain Mapp 38:5260-5273, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marta Vidorreta
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ze Wang
- Department of Radiology, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Ilya M Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, Pennsylvania
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Dolui S, Wang Z, Shinohara RT, Wolk DA, Detre JA. Structural Correlation-based Outlier Rejection (SCORE) algorithm for arterial spin labeling time series. J Magn Reson Imaging 2017; 45:1786-1797. [PMID: 27570967 PMCID: PMC5332532 DOI: 10.1002/jmri.25436] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 08/05/2016] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To propose and validate Structural Correlation-based Outlier REjection (SCORE), a novel algorithm for removal of artifacts arising from outlier control-label pairs in 2D arterial spin labeling (ASL) data. MATERIALS AND METHODS The proposed method was assessed with respect to other state-of-the-art ASL signal processing approaches using 2D pulsed ASL data obtained with a 3T Siemens scanner from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Longitudinal data from control participants acquired 3 months apart were used to assess within-subject coefficient of variation (wsCV) based on the assumption that the optimal signal processing strategy will minimize control subject retest variability in Cerebral Blood Flow (CBF). SCORE was further evaluated by determining its sensitivity for distinguishing patients with Alzheimer's disease (AD) from controls based on hypoperfusion in predefined regions of interest (ROIs) that are known to be sensitive to AD-related changes. RESULTS SCORE coupled with a preprocessing step to discard a few extreme outliers (combined algorithm referred to as SCORE+) reduced wsCV up to 21% in gray matter and 39% in smaller ROIs compared to the reference algorithms. It also provided an average increase in effect size for patient-control differences of 50% compared to other algorithms in a priori ROIs sensitive to AD-related changes. This increase was statistically significant (P < 0.05) for the majority of the ROIs and methods as evaluated by permutation tests. CONCLUSION CBF maps generated with SCORE or SCORE + provide improved retest reliability in control subjects while simultaneously increasing sensitivity to pathological CBF effects between controls and patients. J. Magn. Reson. Imaging 2016 Level of Evidence: 2 J. MAGN. RESON. IMAGING 2017;45:1786-1797.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ze Wang
- Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China
- Departments of Psychiatry and Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Russell T Shinohara
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Dolui S, Wang Z, Wang DJJ, Mattay R, Finkel M, Elliott M, Desiderio L, Inglis B, Mueller B, Stafford RB, Launer LJ, Jacobs DR, Bryan RN, Detre JA. Comparison of non-invasive MRI measurements of cerebral blood flow in a large multisite cohort. J Cereb Blood Flow Metab 2016; 36:1244-56. [PMID: 27142868 PMCID: PMC4929707 DOI: 10.1177/0271678x16646124] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 03/22/2016] [Indexed: 11/16/2022]
Abstract
UNLABELLED Arterial spin labeling and phase contrast magnetic resonance imaging provide independent non-invasive methods for measuring cerebral blood flow. We compared global cerebral blood flow measurements obtained using pseudo-continuous arterial spin labeling and phase contrast in 436 middle-aged subjects acquired at two sites in the NHLBI CARDIA multisite study. Cerebral blood flow measured by phase contrast (CBFPC: 55.76 ± 12.05 ml/100 g/min) was systematically higher (p < 0.001) and more variable than cerebral blood flow measured by pseudo-continuous arterial spin labeling (CBFPCASL: 47.70 ± 9.75). The correlation between global cerebral blood flow values obtained from the two modalities was 0.59 (p < 0.001), explaining less than half of the observed variance in cerebral blood flow estimates. Well-established correlations of global cerebral blood flow with age and sex were similarly observed in both CBFPCASL and CBFPC CBFPC also demonstrated statistically significant site differences, whereas no such differences were observed in CBFPCASL No consistent velocity-dependent effects on pseudo-continuous arterial spin labeling were observed, suggesting that pseudo-continuous labeling efficiency does not vary substantially across typical adult carotid and vertebral velocities, as has previously been suggested. CONCLUSIONS Although CBFPCASL and CBFPC values show substantial similarity across the entire cohort, these data do not support calibration of CBFPCASL using CBFPC in individual subjects. The wide-ranging cerebral blood flow values obtained by both methods suggest that cerebral blood flow values are highly variable in the general population.
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Affiliation(s)
- Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA
| | - Ze Wang
- Center for Cognition and Brain Disorders and the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China Departments of Psychiatry and Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danny J J Wang
- Department of Neurology, University of California, Los Angeles, CA, USA
| | - Raghav Mattay
- Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mack Finkel
- School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark Elliott
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa Desiderio
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ben Inglis
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, CA, USA
| | - Bryon Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Randall B Stafford
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - R Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA
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Stafford RB, Woo MK, Oh SH, Dolui S, Zhao T, Kim YB, Detre JA, Cho ZH, Lee J. An Actively Decoupled Dual Transceiver Coil System for Continuous ASL at 7 T. Int J Imaging Syst Technol 2016; 26:106-115. [PMID: 27695192 PMCID: PMC5042328 DOI: 10.1002/ima.22165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
7 T arterial spin labeling (ASL) faces major challenges including the increased specific absorption rate (SAR) and increased B0 and B1 inhomogeneity. This work describes the design and implementation of a dual-coil system that allows for continuous ASL (CASL) at 7 T. This system consisted of an actively detunable eight-channel transceiver head coil, and a three-channel transceiver labeling coil. Four experiments were performed in 5 healthy subjects: (i) to demonstrate that active detuning during ASL labeling reduces magnetization transfer; (ii) to measure the B1 profile at the labeling plane; (iii) to quantify B0 off-resonance at the labeling plane; and (iv) to collect in vivo CASL data. The magnetization transfer ratio in the head coil was reduced to 0.0 ± 0.2% by active detuning during labeling. The measured B1 profiles in all 5 subjects were sufficient to satisfy the flow-driven adiabatic inversion necessary for CASL, however the actual labeling efficiency was significantly impacted by B0 off-resonance at the labeling plane. The measured CASL percent signal change in gray matter (0.94% ± 0.10%) corresponds with the low labeling efficiency predicted by the B0 off-resonance. This work demonstrates progress in the technical implementation of 7 T CASL, and reinforces the need for improved B0 homogeneity at the labeling plane.
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Affiliation(s)
- Randall B Stafford
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Myung-Kyun Woo
- Neuroscience Research Institute, Gachon University, Incheon, Korea; Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea; Department of Electrical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Se-Hong Oh
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA; Imaging Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Tiejun Zhao
- Siemens Medical Solutions USA, Inc., Siemens Healthcare, New York, NY, USA
| | - Young-Bo Kim
- Neuroscience Research Institute, Gachon University, Incheon, Korea
| | - John A Detre
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Zang-Hee Cho
- Neuroscience Research Institute, Gachon University, Incheon, Korea; Advanced Institutes of Convergence Technology, Seoul National University, Seoul, Korea
| | - Jongho Lee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, PA, USA; Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea
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Xie L, Dolui S, Das SR, Stockbower GE, Daffner M, Rao H, Yushkevich PA, Detre JA, Wolk DA. A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment. Neuroimage Clin 2016; 11:388-397. [PMID: 27222794 PMCID: PMC4821452 DOI: 10.1016/j.nicl.2016.03.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 02/16/2016] [Accepted: 03/01/2016] [Indexed: 11/24/2022]
Abstract
Arterial spin labeled perfusion magnetic resonance imaging (ASL MRI) provides non-invasive quantification of cerebral blood flow, which can be used as a biomarker of brain function due to the tight coupling between cerebral blood flow (CBF) and brain metabolism. A growing body of literature suggests that regional CBF is altered in neurodegenerative diseases. Here we examined ASL MRI CBF in subjects with amnestic mild cognitive impairment (n = 65) and cognitively normal healthy controls (n = 62), both at rest and during performance of a memory-encoding task. As compared to rest, task-enhanced ASL MRI improved group discrimination, which supports the notion that physiologic measures during a cognitive challenge, or “stress test”, may increase the ability to detect subtle functional changes in early disease stages. Further, logistic regression analysis demonstrated that ASL MRI and concomitantly acquired structural MRI provide complementary information of disease status. The current findings support the potential utility of task-enhanced ASL MRI as a biomarker in early Alzheimer's disease. We examined ASL MRI in MCI and normal control during rest & a memory encoding task. Task-enhanced ASL MRI increases sensitivity for discriminating MCI. Both ASL and structural MRI provide complementary information of disease status. This work supports the potential utility of ASL MRI as an early biomarker for AD.
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Key Words
- AAL, Anatomical Automatic Labeling
- ASL, arterial spin labeled
- Alzheimer's disease
- Arterial spin labeling
- BOLD, blood oxygen level dependent
- Biomarker
- CBF, cerebral blood flow
- CSF, cerebrospinal fluid
- FDG PET, flourodeoyglucose positron emission tomography
- FWER, familywise error rate
- HC, health control
- MCI, mild cognitive impairment
- MMSE, mini-mental status exam
- MNI, Montreal Neurological Institute
- MTL, medial temporal lobe
- Medial temporal lobe
- PASL, pulsed ASL
- PCC, posterior cingulate cortex
- ROI, region of interest
- SCORE, structural correlation based outlier rejection
- Scene-encoding memory task
- a-MCI, amnestic mild cognitive impairment
- aCBF, absolute cerebral blood flow
- pCASL, pseudo-continuous ASL
- rCBF, relative cerebral blood flow
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Affiliation(s)
- Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sudipto Dolui
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu R Das
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Grace E Stockbower
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Molly Daffner
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hengyi Rao
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
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Chatterjee K, Dolui S, Das S, Paul A. Osteogenesis Imperfecta: An Uncommon Association with Non-Communicating Hydrocephalus. J Nepal Paedtr Soc 2013. [DOI: 10.3126/jnps.v33i1.6692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Osteogenesis imperfecta (OI) is a generalised disorder of connective tissue presenting with fragile bones, blue sclera and early deafness. Hydrocephalus is usually associated with type 2 OI. Here we present a rare case of noncommunicating hydrocephalus and patent foramen ovale in type 3 OI. DOI: http://dx.doi.org/10.3126/jnps.v33i1.6692 J Nepal Paediatr Soc. 2013;33(1):63-65
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Abstract
Despite the relative recency of its inception, the theory of compressive sampling (aka compressed sensing) (CS) has already revolutionized multiple areas of applied sciences, a particularly important instance of which is medical imaging. Specifically, the theory has provided a different perspective on the important problem of optimal sampling in magnetic resonance imaging (MRI), with an ever-increasing body of works reporting stable and accurate reconstruction of MRI scans from the number of spectral measurements which would have been deemed unacceptably small as recently as five years ago. In this paper, the theory of CS is employed to palliate the problem of long acquisition times, which is known to be a major impediment to the clinical application of high angular resolution diffusion imaging (HARDI). Specifically, we demonstrate that a substantial reduction in data acquisition times is possible through minimization of the number of diffusion encoding gradients required for reliable reconstruction of HARDI scans. The success of such a minimization is primarily due to the availability of spherical ridgelet transformation, which excels in sparsifying HARDI signals. What makes the resulting reconstruction procedure even more accurate is a combination of the sparsity constraints in the diffusion domain with additional constraints imposed on the estimated diffusion field in the spatial domain. Accordingly, the present paper describes an original way to combine the diffusion- and spatial-domain constraints to achieve a maximal reduction in the number of diffusion measurements, while sacrificing little in terms of reconstruction accuracy. Finally, details are provided on an efficient numerical scheme which can be used to solve the aforementioned reconstruction problem by means of standard and readily available estimation tools. The paper is concluded with experimental results which support the practical value of the proposed reconstruction methodology.
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Affiliation(s)
- Oleg Michailovich
- School of Electrical and Computer Engineering, University of Waterloo, ON N2L 3G1, Canada
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115 USA
| | - Sudipto Dolui
- School of Electrical and Computer Engineering, University of Waterloo, ON N2L 3G1, Canada
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Mahapatra NC, Bandyopadhyay A, Samanta SK, Dolui S, Fariduddin K. An unusual case of anisocoria in a child with bleeding aneurysm of posterior communicating artery and idiopathic thrombocytopenic purpura (ITP). Nepal J Ophthalmol 1970; 3:191-2. [DOI: 10.3126/nepjoph.v3i2.5276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background: It can give rise to bleeding episodes in different parts of the body including the central nervous system with various systemic manifestations. Case: An eight-year old female child, diagnosed as a case of chronic ITP for last two years, developed intense headache and vomiting for a few days before admission. This was associated with right sided mid dilated pupil with brisk reaction to light. MRI-angiography showed a bleeding aneurysm of posterior communicating artery. The features of raised intra cranial tension subsided with conservative management but the anisocoria persisted. Conclusion: A bleeding aneurysm can manifest with anisocoria as a sign of partial third cranial nerve palsy. Key words: ITP, children, leaking aneurysm, anisocoria DOI: http://dx.doi.org/10.3126/nepjoph.v3i2.5276 Nepal J Ophthalmol 2011; 3(2): 191-192
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