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Butler T, Schubert J, Karakatsanis NA, Hugh Wang X, Xi K, Kang Y, Chen K, Zhou L, Fung EK, Patchell A, Jaywant A, Li Y, Chiang G, Glodzik L, Rusinek H, de Leon M, Turkheimer F, Shah SA. Brain Fluid Clearance After Traumatic Brain Injury Measured Using Dynamic Positron Emission Tomography. Neurotrauma Rep 2024; 5:359-366. [PMID: 38655117 PMCID: PMC11035850 DOI: 10.1089/neur.2024.0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
Abstract
Brain fluid clearance by pathways including the recently described paravascular glymphatic system is a critical homeostatic mechanism by which metabolic products, toxins, and other wastes are removed from the brain. Brain fluid clearance may be especially important after traumatic brain injury (TBI), when blood, neuronal debris, inflammatory cells, and other substances can be released and/or deposited. Using a non-invasive dynamic positron emission tomography (PET) method that models the rate at which an intravenously injected radiolabeled molecule (in this case 11C-flumazenil) is cleared from ventricular cerebrospinal fluid (CSF), we estimated the overall efficiency of brain fluid clearance in humans who had experienced complicated-mild or moderate TBI 3-6 months before neuroimaging (n = 7) as compared to healthy controls (n = 9). While there was no significant difference in ventricular clearance between TBI subjects and controls, there was a significant group difference in dependence of ventricular clearance upon tracer delivery/blood flow to the ventricles. Specifically, in controls, ventricular clearance was highly, linearly dependent upon blood flow to the ventricle, but this relation was disrupted in TBI subjects. When accounting for blood flow and group-specific alterations in blood flow, ventricular clearance was slightly (non-significantly) increased in TBI subjects as compared to controls. Current results contrast with past studies showing reduced glymphatic function after TBI and are consistent with possible differential effects of TBI on glymphatic versus non-glymphatic clearance mechanisms. Further study using multi-modal methods capable of assessing and disentangling blood flow and different aspects of fluid clearance is needed to clarify clearance alterations after TBI.
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Affiliation(s)
- Tracy Butler
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
- Department of Psychiatry, Weill Cornell Medicine, New York, New York, USA
| | - Julia Schubert
- Centre for Neuroimaging Sciences, King's College London, London, United Kingdom
| | | | - Xiuyuan Hugh Wang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Ke Xi
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Yeona Kang
- Department of Mathematics, Howard University, Washington, DC, USA
| | - Kewei Chen
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
- College of Health Solutions, Arizona State University, Phoenix, Arizona, USA
| | - Liangdong Zhou
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Edward K. Fung
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Abigail Patchell
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Abhishek Jaywant
- Department of Psychiatry, Weill Cornell Medicine, New York, New York, USA
| | - Yi Li
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Gloria Chiang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Lidia Glodzik
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Henry Rusinek
- Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Mony de Leon
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Federico Turkheimer
- Centre for Neuroimaging Sciences, King's College London, London, United Kingdom
| | - Sudhin A. Shah
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
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Liu P, Owashi K, Monnier H, Metanbou S, Capel C, Balédent O. Validating the accuracy of real-time phase-contrast MRI and quantifying the effects of free breathing on cerebrospinal fluid dynamics. Fluids Barriers CNS 2024; 21:25. [PMID: 38454518 PMCID: PMC10921772 DOI: 10.1186/s12987-024-00520-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/05/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Understanding of the cerebrospinal fluid (CSF) circulation is essential for physiological studies and clinical diagnosis. Real-time phase contrast sequences (RT-PC) can quantify beat-to-beat CSF flow signals. However, the detailed effects of free-breathing on CSF parameters are not fully understood. This study aims to validate RT-PC's accuracy by comparing it with the conventional phase-contrast sequence (CINE-PC) and quantify the effect of free-breathing on CSF parameters at the intracranial and extracranial levels using a time-domain multiparametric analysis method. METHODS Thirty-six healthy participants underwent MRI in a 3T scanner for CSF oscillations quantification at the cervical spine (C2-C3) and Sylvian aqueduct, using CINE-PC and RT-PC. CINE-PC uses 32 velocity maps to represent dynamic CSF flow over an average cardiac cycle, while RT-PC continuously quantifies CSF flow over 45-seconds. Free-breathing signals were recorded from 25 participants. RT-PC signal was segmented into independent cardiac cycle flow curves (Qt) and reconstructed into an averaged Qt. To assess RT-PC's accuracy, parameters such as segmented area, flow amplitude, and stroke volume (SV) of the reconstructed Qt from RT-PC were compared with those derived from the averaged Qt generated by CINE-PC. The breathing signal was used to categorize the Qt into expiratory or inspiratory phases, enabling the reconstruction of two Qt for inspiration and expiration. The breathing effects on various CSF parameters can be quantified by comparing these two reconstructed Qt. RESULTS RT-PC overestimated CSF area (82.7% at aqueduct, 11.5% at C2-C3) compared to CINE-PC. Stroke volumes for CINE-PC were 615 mm³ (aqueduct) and 43 mm³ (spinal), and 581 mm³ (aqueduct) and 46 mm³ (spinal) for RT-PC. During thoracic pressure increase, spinal CSF net flow, flow amplitude, SV, and cardiac period increased by 6.3%, 6.8%, 14%, and 6%, respectively. Breathing effects on net flow showed a significant phase difference compared to the other parameters. Aqueduct-CSF flows were more affected by breathing than spinal-CSF. CONCLUSIONS RT-PC accurately quantifies CSF oscillations in real-time and eliminates the need for cardiac synchronization, enabling the quantification of the cardiac and breathing components of CSF flow. This study quantifies the impact of free-breathing on CSF parameters, offering valuable physiological references for understanding the effects of breathing on CSF dynamics.
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Affiliation(s)
- Pan Liu
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, 80000, France.
- Medical Image Processing Department, Amiens Picardy University Medical Center, Amiens, 80000, France.
| | - Kimi Owashi
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, 80000, France
- Medical Image Processing Department, Amiens Picardy University Medical Center, Amiens, 80000, France
| | - Heimiri Monnier
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, 80000, France
| | - Serge Metanbou
- Radiology Department, Amiens Picardy University Medical Center, Amiens, 80000, France
| | - Cyrille Capel
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, 80000, France
- Neurosurgery Department, Amiens Picardy University Medical Center, Amiens, 8000, France
| | - Olivier Balédent
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, 80000, France
- Medical Image Processing Department, Amiens Picardy University Medical Center, Amiens, 80000, France
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Zhou L, Nguyen TD, Chiang GC, Wang XH, Xi K, Hu T, Tanzi EB, Butler TA, de Leon MJ, Li Y. Parenchymal CSF fraction is a measure of brain glymphatic clearance and positively associated with amyloid beta deposition on PET. Alzheimers Dement 2024; 20:2047-2057. [PMID: 38184796 PMCID: PMC10984424 DOI: 10.1002/alz.13659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION Mapping of microscopic changes in the perivascular space (PVS) of the cerebral cortex, beyond magnetic resonance-visible PVS in white matter, may enhance our ability to diagnose Alzheimer's disease (AD) early. METHODS We used the cerebrospinal fluid (CSF) water fraction (CSFF), a magnetic resonance imaging-based biomarker, to characterize brain parenchymal CSF water, reflecting microscopic PVS in parenchyma. We measured CSFF and amyloid beta (Aβ) using 11 C Pittsburgh compound B positron emission tomography to investigate their relationship at both the subject and voxel levels. RESULTS Our research has demonstrated a positive correlation between the parenchymal CSFF, a non-invasive imaging biomarker indicative of parenchymal glymphatic clearance, and Aβ deposition, observed at both individual and voxel-based assessments in the posterior cingulate cortex. DISCUSSION This study shows that an increased parenchymal CSFF is associated with Aβ deposition, suggesting that CSFF could serve as a biomarker for brain glymphatic clearance, which can be used to detect early fluid changes in PVS predisposing individuals to the development of AD. HIGHLIGHTS Cerebrospinal fluid fraction (CSFF) could be a biomarker of parenchymal perivascular space. CSFF is positively associated with amyloid beta (Aβ) deposition at subject level. CSFF in an Aβ+ region is higher than in an Aβ- region in the posterior cingulate cortex. Correspondence is found between Aβ deposition and glymphatic clearance deficits measured by CSFF.
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Affiliation(s)
- Liangdong Zhou
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Thanh D. Nguyen
- Department of RadiologyMRI Research Institute (MRIRI)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Gloria C. Chiang
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
- Department of RadiologyDivision of NeuroradiologyWeill Cornell MedicineNew York‐Presbyterian HospitalNew YorkNew YorkUSA
| | - Xiuyuan H. Wang
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Ke Xi
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Tsung‐Wei Hu
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Emily B. Tanzi
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Tracy A. Butler
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Mony J. de Leon
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
| | - Yi Li
- Department of RadiologyBrain Health Imaging Institute (BHII)Weill Cornell MedicineNew YorkNew YorkUSA
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Ozsahin I, Zhou L, Wang X, Garetti J, Jamison K, Xi K, Tanzi E, Jaywant A, Patchell A, Maloney T, de Leon MJ, Kuceyeski A, Shah SA, Li Y, Butler TA. Diffusion Tensor Imaging Along Perivascular Spaces (DTI-ALPS) to Assess Effects of Age, Sex, and Head Size on Interstitial Fluid Dynamics in Healthy Subjects. J Alzheimers Dis Rep 2024; 8:355-361. [PMID: 38405348 PMCID: PMC10894616 DOI: 10.3233/adr-230143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/11/2024] [Indexed: 02/27/2024] Open
Abstract
Diffusion tensor imaging along perivascular spaces (DTI-ALPS) is a novel MRI method for assessing brain interstitial fluid dynamics, potentially indexing glymphatic function. Failed glymphatic clearance is implicated in Alzheimer's disease (AD) pathophysiology. We assessed the contribution of age and female sex (strong AD risk factors) to DTI-ALPS index in healthy subjects. We also for the first time assessed the effect of head size. In accord with prior studies, we show reduced DTI-ALPS index with aging, and in men compared to women. However, head size may be a major contributing factor to this counterintuitive sex difference.
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Affiliation(s)
- Ilker Ozsahin
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
- Operational Research Center in Healthcare, Near East University, Nicosia/TRNC, Turkey
| | - Liangdong Zhou
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Xiuyuan Wang
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Jacob Garetti
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Keith Jamison
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Ke Xi
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Emily Tanzi
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Abhishek Jaywant
- Department of Rehabilitation Medicine and Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - Abigail Patchell
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Thomas Maloney
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Mony J. de Leon
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Amy Kuceyeski
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Sudhin A. Shah
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Yi Li
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
| | - Tracy A. Butler
- Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, USA
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