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Lin M, Wang S, Hong H, Zhang Y, Xie L, Cui L, Liu L, Jiaerken Y, Yu X, Zhang M, De Luca A, Zhang R, Huang P. Longitudinal changes in white matter free water in cerebral small vessel disease: Relationship to cerebral blood flow and white matter fiber alterations. J Cereb Blood Flow Metab 2025; 45:932-944. [PMID: 39654357 PMCID: PMC11629364 DOI: 10.1177/0271678x241305480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 10/11/2024] [Accepted: 11/15/2024] [Indexed: 12/12/2024]
Abstract
White matter (WM) free water (FW) is a potential imaging marker for cerebral small vessel disease (CSVD). This study aimed to characterize longitudinal changes in WM FW and investigate factors contributing to its elevation in CSVD. We included 80 CSVD patients and 40 normal controls (NCs) with multi-modality MRI data. Cerebral blood flow (CBF) was measured, and fiber alterations were assessed using total apparent fiber density (AFDt). FW were extracted from whole WM, white matter hyperintensities (WMH) and normal-appearing WM (NAWM). Baseline and longitudinal FW elevation were compared between patients and NCs, and between WMH and NAWM. We investigated whether baseline vascular risk factor score, CBF, and AFDt could predict longitudinal FW elevation. Association between cognition and WM FW in CSVD was also assessed. Results shown that FW was higher and increased faster in CSVD compared to NCs and in WMH compared to NAWM. Baseline AFDt predicted longitudinal FW elevation in CSVD patients, while CBF predicted FW changes only in controls. WM FW was associated with cognitive impairment. These findings suggest that CSVD is associated with a faster increase in WM FW. Hypoperfusion and WM fiber alterations might accelerate FW elevation, which is associated with cognitive decline.
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Affiliation(s)
- Miao Lin
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yao Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linyun Xie
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lei Cui
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingyun Liu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Alberto De Luca
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ruiting Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Sibilia F, Sheikh-Bahaei N, Mack WJ, Barisano G, Choupan J. Neuroinflammation modifies the relationship between stress and perivascular spaces in an elderly population with different levels of cognitive impairment. Front Cell Neurosci 2024; 18:1480405. [PMID: 39610697 PMCID: PMC11603360 DOI: 10.3389/fncel.2024.1480405] [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] [Received: 08/13/2024] [Accepted: 10/30/2024] [Indexed: 11/30/2024] Open
Abstract
Background Perivascular spaces (PVS) are fluid-filled spaces surrounding the brain parenchymal vasculature. Literature suggests that PVS may play a significant role in aging and neurological disorders, including Alzheimer's disease (AD). The aim of this study is to investigate whether the relationship between MRI-visible PVS and stress is influenced by neuroinflammation in an elderly population with different levels of cognitive impairment. Methods Using brain MRI scans acquired at 1.5 T, PVS were quantified in a cohort of 461 individuals, consisting of cognitively healthy controls (n = 48), people with mild cognitive impairment (MCI, n = 322) and Alzheimer's disease (AD, n = 91). PVS volume fraction was calculated in the basal ganglia and centrum semiovale using a semi-automated segmentation approach. Stress was quantified with levels of salivary cortisol. Inflammatory biomarkers measured from plasma included cytokines, matrix metalloproteinases and C-reactive protein. General linear models were used to test the relationship between PVS and cortisol, when interacting with inflammatory markers. This was done on the whole cohort and within each clinical cognitive group. Results In the centrum semiovale, higher inflammation levels reduced the relationship of cortisol with PVS. In basal ganglia, higher levels of C-reactive protein reduced the negative relationship of cortisol with PVS. All analyses were accounted for age, sex, body mass index (BMI) and total hippocampal volume. There was a significant interaction effect between cortisol and C-reactive protein on PVS volume fraction in the MCI group. Discussion These findings suggest an influence of neuroinflammation on the PVS structure in Alzheimer's disease spectrum, and offer insight for better understanding physiological processes of cognitive impairment onset.
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Affiliation(s)
- Francesca Sibilia
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Nasim Sheikh-Bahaei
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Wendy J. Mack
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Giuseppe Barisano
- Department of Neurosurgery, Stanford University, Stanford, CA, United States
| | - Jeiran Choupan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- NeuroScope Inc,Scarsdale, NY, United States
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Menze I, Bernal J, Kaya P, Aki Ç, Pfister M, Geisendörfer J, Yakupov R, Coello RD, Valdés-Hernández MDC, Heneka MT, Brosseron F, Schmid MC, Glanz W, Incesoy EI, Butryn M, Rostamzadeh A, Meiberth D, Peters O, Preis L, Lammerding D, Gref D, Priller J, Spruth EJ, Altenstein S, Lohse A, Hetzer S, Schneider A, Fliessbach K, Kimmich O, Vogt IR, Wiltfang J, Bartels C, Schott BH, Hansen N, Dechent P, Buerger K, Janowitz D, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Goerss D, Laske C, Munk MH, Sanzenbacher C, Hinderer P, Scheffler K, Spottke A, Roy-Kluth N, Lüsebrink F, Neumann K, Wardlaw J, Jessen F, Schreiber S, Düzel E, Ziegler G. Perivascular space enlargement accelerates in ageing and Alzheimer's disease pathology: evidence from a three-year longitudinal multicentre study. Alzheimers Res Ther 2024; 16:242. [PMID: 39482759 PMCID: PMC11526621 DOI: 10.1186/s13195-024-01603-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 10/15/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND Perivascular space (PVS) enlargement in ageing and Alzheimer's disease (AD) and the drivers of such a structural change in humans require longitudinal investigation. Elucidating the effects of demographic factors, hypertension, cerebrovascular dysfunction, and AD pathology on PVS dynamics could inform the role of PVS in brain health function as well as the complex pathophysiology of AD. METHODS We studied PVS in centrum semiovale (CSO) and basal ganglia (BG) computationally over three to four annual visits in 503 participants (255 females; meanage = 70.78 ± 5.78) of the ongoing observational multicentre "DZNE Longitudinal Cognitive Impairment and Dementia Study" (DELCODE) cohort. We analysed data from subjects who were cognitively unimpaired (n = 401), had amnestic mild cognitive impairment (n = 71), or had AD (n = 31). We used linear mixed-effects modelling to test for changes of PVS volumes in relation to cross-sectional and longitudinal age, as well as sex, years of education, hypertension, white matter hyperintensities, AD diagnosis, and cerebrospinal-fluid-derived amyloid (A) and tau (T) status (available for 46.71%; A-T-/A + T-/A + T + n = 143/48/39). RESULTS PVS volumes increased significantly over follow-ups (CSO: B = 0.03 [0.02, 0.05], p < 0.001; BG: B = 0.05 [0.03, 0.07], p < 0.001). PVS enlargement rates varied substantially across subjects and depended on the participant's age, white matter hyperintensities volumes, and amyloid and tau status. PVS volumes were higher across elderly participants, regardless of region of interest (CSO: B = 0.12 [0.02, 0.21], p = 0.017; BG: B = 0.19 [0.09, 0.28], p < 0.001). Faster BG-PVS enlargement related to lower baseline white matter hyperintensities volumes (ρspearman = -0.17, pFDR = 0.001) and was more pronounced in individuals who presented with combined amyloid and tau positivity versus negativity (A + T + > A-T-, pFDR = 0.004) or who were amyloid positive but tau negative (A + T + > A + T-, pFDR = 0.07). CSO-PVS volumes increased at a faster rate with amyloid positivity as compared to amyloid negativity (A + T-/A + T + > A-T-, pFDR = 0.021). CONCLUSION Our longitudinal evidence supports the relevance of PVS enlargement in presumably healthy ageing as well as in AD pathology. We further discuss the region-specific involvement of white matter hyperintensities and neurotoxic waste accumulation in PVS enlargement and the possibility of additional factors contributing to PVS progression. A comprehensive understanding of PVS dynamics could facilitate the understanding of pathological cascades and might inform targeted treatment strategies. TRIAL REGISTRATION German Clinical Trials Register DRKS00007966. Registered 04.05.2015 - retrospectively registered, https://drks.de/search/en/trial/DRKS00007966 .
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Affiliation(s)
- Inga Menze
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany.
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany.
| | - Jose Bernal
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
- Centre for Clinical Brain Sciences, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh Bioquarter, 49 Little France Crescent, Edinburgh Bioquarter, Edinburgh, EH16 4SB, UK
| | - Pinar Kaya
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Çağla Aki
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Malte Pfister
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Jonas Geisendörfer
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Renat Yakupov
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Roberto Duarte Coello
- Centre for Clinical Brain Sciences, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh Bioquarter, 49 Little France Crescent, Edinburgh Bioquarter, Edinburgh, EH16 4SB, UK
| | - Maria D C Valdés-Hernández
- Centre for Clinical Brain Sciences, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh Bioquarter, 49 Little France Crescent, Edinburgh Bioquarter, Edinburgh, EH16 4SB, UK
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, 6 Avenue du Swing 4367 , Esch-Belval, Luxembourg
| | - Frederic Brosseron
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
| | - Matthias C Schmid
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany
| | - Wenzel Glanz
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Enise I Incesoy
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Michaela Butryn
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, Cologne, 50924, Germany
| | - Dix Meiberth
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, Cologne, 50924, Germany
| | - Oliver Peters
- German Centre for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin, 10117, Germany
- Institute of Psychiatry and Psychotherapy, Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, Berlin, 12203, Germany
| | - Lukas Preis
- Institute of Psychiatry and Psychotherapy, Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, Berlin, 12203, Germany
| | - Dominik Lammerding
- Institute of Psychiatry and Psychotherapy, Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, Berlin, 12203, Germany
| | - Daria Gref
- Institute of Psychiatry and Psychotherapy, Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, Berlin, 12203, Germany
| | - Josef Priller
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh Bioquarter, 49 Little France Crescent, Edinburgh Bioquarter, Edinburgh, EH16 4SB, UK
- German Centre for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin, 10117, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, Berlin, 10117, Germany
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Ismaninger Str. 22, Munich, 81675, Germany
| | - Eike J Spruth
- German Centre for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin, 10117, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, Berlin, 10117, Germany
| | - Slawek Altenstein
- German Centre for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin, 10117, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, Berlin, 10117, Germany
| | - Andrea Lohse
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, Berlin, 10117, Germany
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging, Charité, Charitéplatz 1, Berlin, 10117, Germany
| | - Anja Schneider
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, Bonn, 53127, Germany
| | - Klaus Fliessbach
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Venusberg-Campus 1, Bonn, 53127, Germany
| | - Okka Kimmich
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
| | - Ina R Vogt
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
| | - Jens Wiltfang
- German Centre for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Von-Siebold-Str. 5, Goettingen, 37075, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Campus Universitário de Santiago, Aveiro, 3810-193, Portugal
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Von-Siebold-Str. 5, Goettingen, 37075, Germany
| | - Björn H Schott
- German Centre for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Von-Siebold-Str. 5, Goettingen, 37075, Germany
- Leibniz Institute for Neurobiology, Brenneckestraße 6, Magdeburg, 39118, Germany
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Von-Siebold-Str. 5, Goettingen, 37075, Germany
| | - Peter Dechent
- Department of Cognitive Neurology, MR-Research in Neurosciences, Georg-August-University Goettingen, Robert-Koch-Straße 40, Göttingen, 37075, Germany
| | - Katharina Buerger
- German Centre for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, 81377, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, Munich, 81377, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, Munich, 81377, Germany
| | - Robert Perneczky
- German Centre for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, 81377, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nußbaumstraße 7, Munich, München, 80336 , Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, Munich, 81377, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, Charing Cross Hospital, St Dunstan's Road, London, W6 8RP, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nußbaumstraße 7, Munich, München, 80336 , Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, 385a Glossop Rd, Sheffield, Broomhall, Sheffield, S10 2HQ, UK
- Department of Neuroradiology, University Hospital LMU, Marchioninistr. 15, Munich, 81377, Germany
| | - Stefan Teipel
- German Centre for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, Rostock, 18147, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Straße 20, Rostock, 18147, Germany
| | - Ingo Kilimann
- German Centre for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, Rostock, 18147, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Straße 20, Rostock, 18147, Germany
| | - Doreen Goerss
- German Centre for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, Rostock, 18147, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Straße 20, Rostock, 18147, Germany
| | - Christoph Laske
- German Centre for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, Tübingen, 72076, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Osianderstraße 24, Tübingen, 72076, Germany
| | - Matthias H Munk
- German Centre for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, Tübingen, 72076, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Osianderstraße 24, Tübingen, 72076 , Germany
| | - Carolin Sanzenbacher
- German Centre for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, Tübingen, 72076, Germany
| | - Petra Hinderer
- German Centre for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, Tübingen, 72076, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Otfried-Müller-Straße 51, Tübingen, 72076, Germany
| | - Annika Spottke
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Department of Neurology, University of Bonn, Venusberg-Campus 1, Bonn, 53127, Germany
| | - Nina Roy-Kluth
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
| | - Falk Lüsebrink
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Katja Neumann
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK
- UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh Bioquarter, 49 Little France Crescent, Edinburgh Bioquarter, Edinburgh, EH16 4SB, UK
| | - Frank Jessen
- German Centre for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn, 53127, Germany
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Strasse 62, Cologne, 50924, Germany
- Excellence Cluster On Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Straße 26, Cologne, 50931, Germany
| | - Stefanie Schreiber
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Department of Neurology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Emrah Düzel
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
| | - Gabriel Ziegler
- German Centre for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, Magdeburg, 39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Leipziger Str. 44, Magdeburg, 39120, Germany
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Garcia KJ, Brolly G, Ng D, Bederson M, Martinez P, Whiting MD. Lifetime history of head injury is associated with reduced perivascular space number in acute mild traumatic brain injury. Brain Commun 2024; 6:fcae314. [PMID: 39329080 PMCID: PMC11426355 DOI: 10.1093/braincomms/fcae314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/08/2024] [Accepted: 09/16/2024] [Indexed: 09/28/2024] Open
Abstract
Traumatic brain injury impairs function of the glymphatic system, a perivascular network involved in waste clearance. Enlarged perivascular spaces visible on MRI are an emerging biomarker of glymphatic function. This study characterized enlarged perivascular spaces in acute head injury with 7 T MRI. Healthy controls (n = 8) and patients (n = 11) with mild traumatic brain injury underwent MRI within 7 days of injury and were evaluated for lifetime history of head injury, neurobehavioral symptoms and sleep disturbances. MRI-visible perivascular spaces were quantified and assessed according to published criteria. The number of enlarged perivascular spaces was significantly higher in traumatic brain injury patients than controls (P = 0.015). Among healthy controls, 6/8 scored 'none' or 'mild' on the perivascular space rating scale, while 10/11 patients scored 'moderate', 'frequent' or 'severe'. There was an inverse relationship between perivascular space number and number of lifetime head injuries. Patients with more prior head injuries exhibited fewer enlarged perivascular spaces (P = 0.014). These results indicate that mild head injury results in acute alterations in perivascular space number, and this effect is mediated by previous head injury history. Enlarged perivascular spaces may reflect a glymphatic response that is diminished after multiple head injuries, although this will require further study.
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Affiliation(s)
- Kiersten J Garcia
- Stephens Family Clinical Research Institute, Carle Health, Urbana, IL 61801, USA
- Carle Illinois Advanced Imaging Center, Carle Health, Urbana, IL 61801, USA
| | - Grace Brolly
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Daniel Ng
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Maria Bederson
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Pedro Martinez
- Department of Neuroscience, Wartburg College, Waverly, IA 50677, USA
| | - Mark D Whiting
- Stephens Family Clinical Research Institute, Carle Health, Urbana, IL 61801, USA
- Carle Illinois Advanced Imaging Center, Carle Health, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
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Huang P, Liu L, Zhang Y, Zhong S, Liu P, Hong H, Wang S, Xie L, Lin M, Jiaerken Y, Luo X, Li K, Zeng Q, Cui L, Li J, Chen Y, Zhang R. Development and validation of a perivascular space segmentation method in multi-center datasets. Neuroimage 2024; 298:120803. [PMID: 39181194 DOI: 10.1016/j.neuroimage.2024.120803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 08/16/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Perivascular spaces (PVS) visible on magnetic resonance imaging (MRI) are significant markers associated with various neurological diseases. Although quantitative analysis of PVS may enhance sensitivity and improve consistency across studies, the field lacks a universally validated method for analyzing images from multi-center studies. METHODS We annotated PVS on multi-center 3D T1-weighted (T1w) images acquired using scanners from three major vendors (Siemens, General Electric, and Philips). A neural network, mcPVS-Net (multi-center PVS segmentation network), was trained using data from 40 subjects and then tested in a separate cohort of 15 subjects. We assessed segmentation accuracy against ground truth masks tailored for each scanner vendor. Additionally, we evaluated the agreement between segmented PVS volumes and visual scores for each scanner. We also explored correlations between PVS volumes and various clinical factors such as age, hypertension, and white matter hyperintensities (WMH) in a larger sample of 1020 subjects. Furthermore, mcPVS-Net was applied to a new dataset comprising both T1w and T2-weighted (T2w) images from a United Imaging scanner to investigate if PVS volumes could discriminate between subjects with differing visual scores. We also compared the mcPVS-Net with a previously published method that segments PVS from T1 images. RESULTS In the test dataset, mcPVS-Net achieved a mean DICE coefficient of 0.80, with an average Precision of 0.81 and Recall of 0.79, indicating good specificity and sensitivity. The segmented PVS volumes were significantly associated with visual scores in both the basal ganglia (r = 0.541, p < 0.001) and white matter regions (r = 0.706, p < 0.001), and PVS volumes were significantly different among subjects with varying visual scores. Segmentation performance was consistent across different scanner vendors. PVS volumes exhibited significant associations with age, hypertension, and WMH. In the United Imaging scanner dataset, PVS volumes showed good associations with PVS visual scores evaluated on either T1w or T2w images. Compared to a previously published method, mcPVS-Net showed a higher accuracy and improved PVS segmentation in the basal ganglia region. CONCLUSION The mcPVS-Net demonstrated good accuracy for segmenting PVS from 3D T1w images. It may serve as a useful tool for future PVS research.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lingyun Liu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yao Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Siyan Zhong
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peng Liu
- Department of Radiology, Linyi Traditional Chinese Medicine Hospital, Linyi, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linyun Xie
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Miao Lin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lei Cui
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jixuan Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanxing Chen
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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6
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Javierre-Petit C, Kontzialis M, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Quantitative assessment of enlarged perivascular spaces via deep-learning in community-based older adults reveals independent associations with vascular neuropathologies, vascular risk factors and cognition. Brain Commun 2024; 6:fcae252. [PMID: 39130513 PMCID: PMC11316207 DOI: 10.1093/braincomms/fcae252] [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] [Received: 01/17/2024] [Revised: 05/24/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Enlarged perivascular spaces (EPVS) are common in older adults, but their neuropathologic correlates are unclear mainly because most work to date has relied on visual rating scales and/or clinical cohorts. The present study first developed a deep-learning model for automatic segmentation, localization and quantification of EPVS in ex vivo brain MRI, and then used this model to investigate the neuropathologic, clinical and cognitive correlates of EPVS in 817 community-based older adults that underwent autopsy. The new method exhibited high sensitivity in detecting EPVS as small as 3 mm3, good segmentation accuracy and consistency. Most EPVS were located in the frontal lobe, but the highest density was observed in the basal ganglia. EPVS in the cerebrum and specifically in the frontal lobe were associated with infarcts independent of other neuropathologies, while temporal and occipital EPVS were associated with cerebral amyloid angiopathy. EPVS in most brain lobes were also associated with diabetes mellitus independently of neuropathologies, while basal ganglia EPVS were independently associated with hypertension, supporting the notion of independent pathways from diabetes and hypertension to EPVS. Finally, EPVS were associated with lower cognitive performance independently of neuropathologies and clinical variables, suggesting that EPVS represent additional abnormalities contributing to lower cognition.
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Affiliation(s)
- Carles Javierre-Petit
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Marinos Kontzialis
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Sue E Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
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7
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Taoka T, Ito R, Nakamichi R, Nakane T, Kawai H, Naganawa S. Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS): Revisiting the Meaning and Significance of the Method. Magn Reson Med Sci 2024; 23:268-290. [PMID: 38569866 PMCID: PMC11234944 DOI: 10.2463/mrms.rev.2023-0175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024] Open
Abstract
More than 5 years have passed since the Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) method was proposed with the intention of evaluating the glymphatic system. This method is handy due to its noninvasiveness, provision of a simple index in a straightforward formula, and the possibility of retrospective analysis. Therefore, the ALPS method was adopted to evaluate the glymphatic system for many disorders in many studies. The purpose of this review is to look back and discuss the ALPS method at this moment.The ALPS-index was found to be an indicator of a number of conditions related to the glymphatic system. Thus, although this was expected in the original report, the results of the ALPS method are often interpreted as uniquely corresponding to the function of the glymphatic system. However, a number of subsequent studies have pointed out the problems on the data interpretation. As they rightly point out, a higher ALPS-index indicates predominant Brownian motion of water molecules in the radial direction at the lateral ventricular body level, no more and no less. Fortunately, the term "ALPS-index" has become common and is now known as a common term by many researchers. Therefore, the ALPS-index should simply be expressed as high or low, and whether it reflects a glymphatic system is better to be discussed carefully. In other words, when a decreased ALPS-index is observed, it should be expressed as "decreased ALPS-index" and not directly as "glymphatic dysfunction". Recently, various methods have been proposed to evaluate the glymphatic system. It has become clear that these methods also do not seem to reflect the entirety of the extremely complex glymphatic system. This means that it would be desirable to use various methods in combination to evaluate the glymphatic system in a comprehensive manner.
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Affiliation(s)
- Toshiaki Taoka
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rintaro Ito
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rei Nakamichi
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Toshiki Nakane
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Hisashi Kawai
- Department of Radiology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Shinji Naganawa
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
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8
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Drenthen GS, Elschot EP, van der Knaap N, Uher D, Voorter PHM, Backes WH, Jansen JFA, van der Thiel MM. Imaging Interstitial Fluid With MRI: A Narrative Review on the Associations of Altered Interstitial Fluid With Vascular and Neurodegenerative Abnormalities. J Magn Reson Imaging 2024; 60:40-53. [PMID: 37823526 DOI: 10.1002/jmri.29056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
Interstitial fluid (ISF) refers to the fluid between the parenchymal cells and along the perivascular spaces (PVS). ISF plays a crucial role in delivering nutrients and clearing waste products from the brain. This narrative review focuses on the use of MRI techniques to measure various ISF characteristics in humans. The complementary value of contrast-enhanced and noncontrast-enhanced techniques is highlighted. While contrast-enhanced MRI methods allow measurement of ISF transport and flow, they lack quantitative assessment of ISF properties. Noninvasive MRI techniques, including multi-b-value diffusion imaging, free-water-imaging, T2-decay imaging, and DTI along the PVS, offer promising alternatives to derive ISF measures, such as ISF volume and diffusivity. The emerging role of these MRI techniques in investigating ISF alterations in neurodegenerative diseases (eg, Alzheimer's disease and Parkinson's disease) and cerebrovascular diseases (eg, cerebral small vessel disease and stroke) is discussed. This review also emphasizes current challenges of ISF imaging, such as the microscopic scale at which ISF has to be measured, and discusses potential focus points for future research to overcome these challenges, for example, the use of high-resolution imaging techniques. Noninvasive MRI methods for measuring ISF characteristics hold significant potential and may have a high clinical impact in understanding the pathophysiology of neurodegenerative and cerebrovascular disorders, as well as in evaluating the efficacy of ISF-targeted therapies in clinical trials. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Gerhard S Drenthen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Elles P Elschot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Noa van der Knaap
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Daniel Uher
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Merel M van der Thiel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
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9
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Saji N, Kinjo Y, Murotani K, Niida S, Takeda A, Sakurai T. High pulse wave velocity is associated with enlarged perivascular spaces in dementia with Lewy bodies. Sci Rep 2024; 14:13911. [PMID: 38886538 PMCID: PMC11183205 DOI: 10.1038/s41598-024-64984-8] [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: 06/06/2023] [Accepted: 06/14/2024] [Indexed: 06/20/2024] Open
Abstract
Previous studies have demonstrated associations between enlarged perivascular spaces (EPVS) and dementias such as Alzheimer's disease. However, an association between EPVS and dementia with Lewy bodies (DLB) has not yet been clarified. We performed a cross-sectional analysis of our prospective study cohort of 109 participants (16 with DLB). We assessed cognitive function, pulse wave velocity (PWV), and brain magnetic resonance imaging features. The relationships between EPVS and DLB were evaluated using multivariable logistic regression analyses. Compared with the non-dementia group, the DLB group was more likely to have EPVS in the basal ganglia. Compared with participants without EPVS, those with EPVS were older and had cognitive impairment and high PWV. In multivariable analyses, EPVS in the basal ganglia was independently associated with DLB. High PWV was also independently associated with EPVS in both the basal ganglia and centrum semiovale. High PWV may cause cerebrovascular pulsatility, leading to accelerated EPVS in DLB participants.
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Affiliation(s)
- Naoki Saji
- Center for Comprehensive Care and Research On Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan.
| | - Yoshino Kinjo
- Center for Comprehensive Care and Research On Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan
- Department of Cardiovascular Medicine, Nephrology and Neurology, University of the Ryukyus Graduate School of Medicine, Nishihara-cho, Okinawa, Japan
| | - Kenta Murotani
- Biostatistics Center, Graduate School of Medicine, Kurume University, Kurume, Fukuoka, Japan
| | - Shumpei Niida
- Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Akinori Takeda
- Center for Comprehensive Care and Research On Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan
| | - Takashi Sakurai
- Center for Comprehensive Care and Research On Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Cognition and Behavioral Science, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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10
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Antonioni A, Raho EM, Di Lorenzo F. Is blood pTau a reliable indicator of the CSF status? A narrative review. Neurol Sci 2024; 45:2471-2487. [PMID: 38129590 DOI: 10.1007/s10072-023-07258-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The identification of biomarkers for the early diagnosis of Alzheimer's disease (AD) is a crucial goal of the current research. Blood biomarkers are less invasive, easier to obtain and achievable by a cheaper means than those on cerebrospinal fluid (CSF) and significantly more economic than functional neuroimaging investigations; thus, a great interest is focused on blood isoforms of the phosphorylated Tau protein (pTau), indicators of ongoing tau pathology (i.e. neurofibrillary tangles, NFTs, an AD neuropathological hallmark) in the central nervous system (CNS). However, current data often highlight discordant results about the ability of blood pTau to predict CSF status. OBJECTIVE We aim to synthesise the studies that compared pTau levels on CSF and blood to assess their correlation in AD continuum. METHODS We performed a narrative literature review using, first, MEDLINE (via PubMed) by means of MeSH terms, and then, we expanded the reults by means of Scopus and Web of Sciences to be as inclusive as possible. Finally, we added work following an expert opinion. Only papers presenting original data on pTau values on both blood and CSF were included. RESULTS The 33 included studies show an extreme heterogeneity in terms of pTau isoform (pTau181, 217 and 231), laboratory methods, diagnostic criteria and choice of comparison groups. Most studies evaluated plasma pTau181, while data on other isoforms and serum are scarcer. DISCUSSION Most papers identify a correlation between CSF and blood measurements. Furthermore, even when not specified, it is often possible to show an increase in blood pTau values as AD-related damage progresses in the AD continuum and higher values in AD than in other neurodegenerative diseases. Notably, plasma pTau231 seems the first biomarker to look for in the earliest and pre-clinical stages, quickly followed by pTau217 and, finally, by pTau181. CONCLUSIONS Our results encourage the use of blood pTau for the early identification of patients with AD continuum.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121, Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto Di Ricovero E Cura a Carattere Scientifico Santa Lucia, 00179, Rome, Italy.
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11
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Cai J, Zeng X, Huang X, Dong H, Liu J, Lin J, Xie M, Wei X. Relationship of neutrophil/lymphocyte ratio with cerebral small vessel disease and its common imaging markers. Immun Inflamm Dis 2024; 12:e1228. [PMID: 38578037 PMCID: PMC10996379 DOI: 10.1002/iid3.1228] [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: 06/26/2023] [Revised: 12/27/2023] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND High neutrophil/lymphocyte ratio (NLR) is associated with poor prognosis in ischemic stroke. However, the role of NLR in cerebral small vessel disease (CSVD) is controversial. Herein, we evaluated the value of NLR in identifying CSVD and its relationship with the common imaging markers of CSVD. METHODS A total of 667 patients were enrolled in this study, including 368 in the CSVD group and 299 in the non-CSVD group. Clinical, laboratory, and imaging data were collected. The relationship of NLR with CSVD and common imaging markers of CSVD were analyzed with univariate and multivariate logistic regression analysis. The predictive value of NLR was assessed with the receiver operating characteristic curve. RESULTS NLR (odds ratio [OR] = 1.929, 95% confidence interval [CI] = 1.599-2.327, p < .001) was an independent risk factor for CSVD. NLR was also independently associated with moderate to severe white matter hyperintensity (WMH) (OR = 2.136, 95% CI = 1.768-2.580, p < .001), moderate to severe periventricular WMH (OR = 2.138, 95% CI = 1.771-2.579, p < .001), and moderate to severe deep WMH (OR = 1.654, 95% CI = 1.438-1.902, p < .001), moderately to severely enlarged perivascular spaces (EPVS) (OR = 1.248, 95% CI = 1.110-1.402, p < .001), moderately to severely EPVS in the basal ganglia (OR = 1.136, 95% CI = 1.012-1.275, p = .030), and moderately to severely EPVS in the centrum semiovale (OR = 1.140, 95% CI = 1.027-1.266, p = .014). However, NLR was not statistically significantly associated with lacune. The optimal cutoff point of NLR in predicting CSVD was 2.47, with sensitivity and specificity of 84.2% and 66.9%, respectively (p < .01). The diagnostic effect was maximized when NLR was combined with other risk factors. CONCLUSIONS NLR is an independent risk factor for CSVD and is independently associated with common imaging markers of CSVD. NLR may serve as a valid and convenient biomarker for assessing CSVD.
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Affiliation(s)
- Jiangping Cai
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Xiaoyi Zeng
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Xiaojin Huang
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Hansheng Dong
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Junyi Liu
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Jie Lin
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Meirong Xie
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
| | - Xiaolan Wei
- Department of NeurologyThe First Hospital of Quanzhou Affiliated to Fujian Medical UniversityFujianChina
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12
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Cai Y, Zhang Y, Leng S, Ma Y, Jiang Q, Wen Q, Ju S, Hu J. The relationship between inflammation, impaired glymphatic system, and neurodegenerative disorders: A vicious cycle. Neurobiol Dis 2024; 192:106426. [PMID: 38331353 DOI: 10.1016/j.nbd.2024.106426] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 01/16/2024] [Accepted: 01/28/2024] [Indexed: 02/10/2024] Open
Abstract
The term "glymphatic" emerged roughly a decade ago, marking a pivotal point in neuroscience research. The glymphatic system, a glial-dependent perivascular network distributed throughout the brain, has since become a focal point of investigation. There is increasing evidence suggesting that impairment of the glymphatic system appears to be a common feature of neurodegenerative disorders, and this impairment exacerbates as disease progression. Nevertheless, the common factors contributing to glymphatic system dysfunction across most neurodegenerative disorders remain unclear. Inflammation, however, is suspected to play a pivotal role. Dysfunction of the glymphatic system can lead to a significant accumulation of protein and waste products, which can trigger inflammation. The interaction between the glymphatic system and inflammation appears to be cyclical and potentially synergistic. Yet, current research is limited, and there is a lack of comprehensive models explaining this association. In this perspective review, we propose a novel model suggesting that inflammation, impaired glymphatic function, and neurodegenerative disorders interconnected in a vicious cycle. By presenting experimental evidence from the existing literature, we aim to demonstrate that: (1) inflammation aggravates glymphatic system dysfunction, (2) the impaired glymphatic system exacerbated neurodegenerative disorders progression, (3) neurodegenerative disorders progression promotes inflammation. Finally, the implication of proposed model is discussed.
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Affiliation(s)
- Yu Cai
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yangqiqi Zhang
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Shuo Leng
- Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China
| | - Yuanyuan Ma
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Quan Jiang
- Department of Neurology, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI 48202, USA
| | - Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W.16th Street, Indianapolis, IN 46202-5188, USA
| | - Shenghong Ju
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
| | - Jiani Hu
- Department of Radiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA.
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13
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Xie L, Zhang Y, Hong H, Xu S, Cui L, Wang S, Li J, Liu L, Lin M, Luo X, Li K, Zeng Q, Zhang M, Zhang R, Huang P. Higher intracranial arterial pulsatility is associated with presumed imaging markers of the glymphatic system: An explorative study. Neuroimage 2024; 288:120524. [PMID: 38278428 DOI: 10.1016/j.neuroimage.2024.120524] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Arterial pulsation has been suggested as a key driver of paravascular cerebrospinal fluid flow, which is the foundation of glymphatic clearance. However, whether intracranial arterial pulsatility is associated with glymphatic markers in humans has not yet been studied. METHODS Seventy-three community participants were enrolled in the study. 4D phase-contrast magnetic resonance imaging (MRI) was used to quantify the hemodynamic parameters including flow pulsatility index (PIflow) and area pulsatility index (PIarea) from 13 major intracerebral arterial segments. Three presumed neuroimaging markers of the glymphatic system were measured: including dilation of perivascular space (PVS), diffusivity along the perivascular space (ALPS), and volume fraction of free water (FW) in white matter. We explored the relationships between PIarea, PIflow, and the presumed glymphatic markers, controlling for related covariates. RESULTS PIflow in the internal carotid artery (ICA) C2 segment (OR, 1.05; 95 % CI, 1.01-1.10, per 0.01 increase in PI) and C4 segment (OR, 1.05; 95 % CI, 1.01-1.09) was positively associated with the dilation of basal ganglia PVS, and PIflow in the ICA C4 segment (OR, 1.06, 95 % CI, 1.02-1.10) was correlated with the dilation of PVS in the white matter. ALPS was associated with PIflow in the basilar artery (β, -0.273, p, 0.046) and PIarea in the ICA C2 (β, -0.239, p, 0.041) and C7 segments (β, -0.238, p, 0.037). CONCLUSIONS Intracranial arterial pulsatility was associated with presumed neuroimaging markers of the glymphatic system, but the results were not consistent across different markers. Further studies are warranted to confirm these findings.
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Affiliation(s)
- Linyun Xie
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Yao Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Hui Hong
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Shan Xu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Lei Cui
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Jixuan Li
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Lingyun Liu
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Miao Lin
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Kaicheng Li
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Qingze Zeng
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Ruiting Zhang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 310009, China.
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Astara K, Tsimpolis A, Kalafatakis K, Vavougios GD, Xiromerisiou G, Dardiotis E, Christodoulou NG, Samara MT, Lappas AS. Sleep disorders and Alzheimer's disease pathophysiology: The role of the Glymphatic System. A scoping review. Mech Ageing Dev 2024; 217:111899. [PMID: 38163471 DOI: 10.1016/j.mad.2023.111899] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is highly intertwined with sleep disturbances throughout its whole natural history. Sleep consists of a major compound of the functionality of the glymphatic system, as the synchronized slow-wave activity during NREM facilitates cerebrospinal and interstitial long-distance mixing. OBJECTIVE The present study undertakes a scoping review of research on the involvement of the glymphatic system in AD-related sleep disturbances. DESIGN we searched Medline, Embase, PsychInfo and HEAL-link databases, without limitations on date and language, along with reference lists of relevant reviews and all included studies. We included in vivo, in vitro and post-mortem studies examining glymphatic implications of sleep disturbances in human populations with AD spectrum pathology. A thematic synthesis of evidence based on the extracted content was applied and presented in a narrative way. RESULTS In total, 70 original research articles were included and were grouped as following: a) Protein aggregation and toxicity, after sleep deprivation, along with its effects on sleep architecture, b) Glymphatic Sequalae in SDB, yielding potential glymphatic markers c) Circadian Dysregulation, d) Possible Interventions. CONCLUSIONS this review sought to provide insight into the role of sleep disturbances in AD pathogenesis, in the context of the glymphatic disruption.
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Affiliation(s)
- Kyriaki Astara
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Department of Neurology, 417 Army Equity Fund Hospital (NIMTS), Athens, Greece
| | - Alexandros Tsimpolis
- Department of Pharmacology, Medical School, University of Crete & Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology Hellas, Heraklion, Crete, Greece
| | - Konstantinos Kalafatakis
- Faculty of Medicine & Dentistry (Malta campus), Queen Mary University of London, VCT 2520, Victoria, Gozo, Malta.
| | - George D Vavougios
- Department of Neurology, Faculty of Medicine, University of Cyprus, Lefkosia, Cyprus; Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Larissa, Greece; Department of Neurology, Athens Naval Hospital, Athens, Greece
| | - Georgia Xiromerisiou
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Nikos G Christodoulou
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Medical School, University of Nottingham, Lenton, Nottingham, UK
| | - Myrto T Samara
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Andreas S Lappas
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Aneurin Bevan University Health Board, Wales, UK
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15
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Veitch DP, Weiner MW, Miller M, Aisen PS, Ashford MA, Beckett LA, Green RC, Harvey D, Jack CR, Jagust W, Landau SM, Morris JC, Nho KT, Nosheny R, Okonkwo O, Perrin RJ, Petersen RC, Rivera Mindt M, Saykin A, Shaw LM, Toga AW, Tosun D, for the Alzheimer's Disease Neuroimaging Initiative. The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022. Alzheimers Dement 2024; 20:652-694. [PMID: 37698424 PMCID: PMC10841343 DOI: 10.1002/alz.13449] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/27/2023] [Accepted: 08/01/2023] [Indexed: 09/13/2023]
Abstract
The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to improve Alzheimer's disease (AD) clinical trials. Since 2006, ADNI has shared clinical, neuroimaging, and cognitive data, and biofluid samples. We used conventional search methods to identify 1459 publications from 2021 to 2022 using ADNI data/samples and reviewed 291 impactful studies. This review details how ADNI studies improved disease progression understanding and clinical trial efficiency. Advances in subject selection, detection of treatment effects, harmonization, and modeling improved clinical trials and plasma biomarkers like phosphorylated tau showed promise for clinical use. Biomarkers of amyloid beta, tau, neurodegeneration, inflammation, and others were prognostic with individualized prediction algorithms available online. Studies supported the amyloid cascade, emphasized the importance of neuroinflammation, and detailed widespread heterogeneity in disease, linked to genetic and vascular risk, co-pathologies, sex, and resilience. Biological subtypes were consistently observed. Generalizability of ADNI results is limited by lack of cohort diversity, an issue ADNI-4 aims to address by enrolling a diverse cohort.
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Affiliation(s)
- Dallas P. Veitch
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Melanie Miller
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Paul S. Aisen
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Miriam A. Ashford
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Laurel A. Beckett
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | - Robert C. Green
- Division of GeneticsDepartment of MedicineBrigham and Women's HospitalBroad Institute Ariadne Labs and Harvard Medical SchoolBostonMassachusettsUSA
| | - Danielle Harvey
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | | | - William Jagust
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Susan M. Landau
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - John C. Morris
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Kwangsik T. Nho
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Center for Computational Biology and BioinformaticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Rachel Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ozioma Okonkwo
- Wisconsin Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Richard J. Perrin
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | | | - Monica Rivera Mindt
- Department of PsychologyLatin American and Latino Studies InstituteAfrican and African American StudiesFordham UniversityNew YorkNew YorkUSA
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Andrew Saykin
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine and the PENN Alzheimer's Disease Research CenterCenter for Neurodegenerative ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arthur W. Toga
- Laboratory of Neuro ImagingInstitute of Neuroimaging and InformaticsKeck School of Medicine of University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Duygu Tosun
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
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16
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Meng JC, Shen MQ, Lu YL, Feng HX, Chen XY, Xu DQ, Wu GH, Cheng QZ, Wang LH, Gui Q. Correlation of glymphatic system abnormalities with Parkinson's disease progression: a clinical study based on non-invasive fMRI. J Neurol 2024; 271:457-471. [PMID: 37755462 DOI: 10.1007/s00415-023-12004-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND The glymphatic system is reportedly involved in Parkinson's disease (PD). Based on previous studies, we aimed to confirm the correlation between the glymphatic system and PD progression by combining two imaging parameters, diffusion tensor image analysis along the perivascular space (DTI-ALPS), and enlarged perivascular spaces (EPVS). METHODS Fifty-one PD patients and fifty healthy control (HC) were included. Based on the Hoehn-Yahr scale, the PD group was divided into early-stage and medium-to late-stage. All PD patients were scored using the Unified PD Rating Scale (UPDRS). We assessed the DTI-ALPS indices in the bilateral hemispheres and EPVS numbers in bilateral centrum semiovale (CSO), basal ganglia (BG), and midbrain. RESULTS The DTI-ALPS indices were significantly lower bilaterally in PD patients than in the HC group, and EPVS numbers in any of the bilateral CSO, BG, and midbrain were significantly higher, especially for the medium- to late-stage group and the BG region. In PD patients, the DTI-ALPS index was significantly negatively correlated with age, while the BG-EPVS numbers were significantly positively correlated with age. Furthermore, the DTI-ALPS index was negatively correlated with UPDRS II and III scores, while the BG-EPVS numbers were positively correlated with UPDRS II and III scores. Similarly, the correlation was more pronounced in the medium- to late-stage group. CONCLUSION The DTI-ALPS index and EPVS numbers (especially in the BG region) are closely related to age and PD progression and can serve as non-invasive assessments for glymphatic dysfunction and its interventions in clinical studies.
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Affiliation(s)
- Jing-Cai Meng
- Department of Physiology and Neurobiology, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, China
| | - Ming-Qiang Shen
- Department of Neurology, Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Yan-Li Lu
- Department of Radiology, Suzhou Hospital Affiliated to Nanjing Medical University(Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Hong-Xuan Feng
- Department of Neurology, Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Xin-Yi Chen
- Department of Physiology and Neurobiology, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, China
| | - Da-Qiang Xu
- Department of Radiology, Suzhou Hospital Affiliated to Nanjing Medical University(Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Guan-Hui Wu
- Department of Neurology, Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Qing-Zhang Cheng
- Department of Neurology, Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China
| | - Lin-Hui Wang
- Department of Physiology and Neurobiology, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, China
| | - Qian Gui
- Department of Neurology, Suzhou Hospital Affiliated to Nanjing Medical University (Suzhou Municipal Hospital), Suzhou, 215002, Jiangsu, China.
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17
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Hayden MR. Brain Endothelial Cells Play a Central Role in the Development of Enlarged Perivascular Spaces in the Metabolic Syndrome. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1124. [PMID: 37374328 DOI: 10.3390/medicina59061124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 05/24/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023]
Abstract
Brain capillary endothelial cell(s) (BECs) have numerous functions, including their semipermeable interface-barrier (transfer and diffusion of solutes), trophic (metabolic homeostasis), tonic (vascular hemodynamics), and trafficking (vascular permeability, coagulation, and leukocyte extravasation) functions to provide brain homeostasis. BECs also serve as the brain's sentinel cell of the innate immune system and are capable of antigen presentation. In metabolic syndrome (MetS), there are two regions resulting in the proinflammatory signaling of BECs, namely visceral adipose tissue depots supplying excessive peripheral cytokines/chemokines (pCCs) and gut microbiota dysbiotic regions supplying excessive soluble lipopolysaccharide (sLPS), small LPS-enriched extracellular vesicle exosomes (lpsEVexos), and pCCs. This dual signaling of BECs at their receptor sites results in BEC activation and dysfunction (BECact/dys) and neuroinflammation. sLPS and lpsEVexos signal BECs' toll-like receptor 4, which then signals translocated nuclear factor kappa B (NFkB). Translocated NFkB promotes the synthesis and secretion of BEC proinflammatory cytokines and chemokines. Specifically, the chemokine CCL5 (RANTES) is capable of attracting microglia cells to BECs. BEC neuroinflammation activates perivascular space(s) (PVS) resident macrophages. Excessive phagocytosis by reactive resident PVS macrophages results in a stagnation-like obstruction, which along with increased capillary permeability due to BECact/dys could expand the fluid volume within the PVS to result in enlarged PVS (EPVS). Importantly, this remodeling may result in pre- and post-capillary EPVS that would contribute to their identification on T2-weighted MRI, which are considered to be biomarkers for cerebral small vessel disease.
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Affiliation(s)
- Melvin R Hayden
- Department of Internal Medicine, Endocrinology Diabetes and Metabolism, Diabetes and Cardiovascular Disease Center, University of Missouri School of Medicine, One Hospital Drive, Columbia, MO 65211, USA
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18
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Sibilia F, Sheikh-Bahaei N, Mack WJ, Choupan J. Perivascular spaces in Alzheimer's disease are associated with inflammatory, stress-related, and hypertension biomarkers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.02.543504. [PMID: 37333097 PMCID: PMC10274635 DOI: 10.1101/2023.06.02.543504] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Perivascular spaces (PVS) are fluid-filled spaces surrounding the brain vasculature. Literature suggests that PVS may play a significant role in aging and neurological disorders, including Alzheimer's disease (AD). Cortisol, a stress hormone, has been implicated in the development and progression of AD. Hypertension, a common condition in older adults, has been found to be a risk factor for AD. Hypertension may contribute to PVS enlargement, impairing the clearance of waste products from the brain and promoting neuroinflammation. This study aims to understand the potential interactions between PVS, cortisol, hypertension, and inflammation in the context of cognitive impairment. Using MRI scans acquired at 1.5T, PVS were quantified in a cohort of 465 individuals with cognitive impairment. PVS was calculated in the basal ganglia and centrum semiovale using an automated segmentation approach. Levels of cortisol and angiotensin-converting enzyme (ACE) (an indicator of hypertension) were measured from plasma. Inflammatory biomarkers, such as cytokines and matrix metalloproteinases, were analyzed using advanced laboratory techniques. Main effect and interaction analyses were performed to examine the associations between PVS severity, cortisol levels, hypertension, and inflammatory biomarkers. In the centrum semiovale, higher levels of inflammation reduced cortisol associations with PVS volume fraction. For ACE, an inverse association with PVS was seen only when interacting with TNFr2 (a transmembrane receptor of TNF). There was also a significant inverse main effect of TNFr2. In the PVS basal ganglia, a significant positive association was found with TRAIL (a TNF receptor inducing apoptosis). These findings show for the first time the intricate relationships between PVS structure and the levels of stress-related, hypertension, and inflammatory biomarkers. This research could potentially guide future studies regarding the underlying mechanisms of AD pathogenesis and the potential development of novel therapeutic strategies targeting these inflammation factors.
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Affiliation(s)
- Francesca Sibilia
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nasim Sheikh-Bahaei
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, 1520 San Pablo Street, Los Angeles, CA, 90033, USA
| | - Wendy J Mack
- Department of Population and Public Health Sciences, Keck School of Medicine, University of University of Southern California, Los Angeles, CA, USA
| | - Jeiran Choupan
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- NeuroScope Inc. Scarsdale, New York
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19
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Shulyatnikova T, Hayden MR. Why Are Perivascular Spaces Important? MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050917. [PMID: 37241149 DOI: 10.3390/medicina59050917] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/05/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023]
Abstract
Perivascular spaces (PVS) and their enlargement (EPVS) have been gaining interest as EPVS can be visualized non-invasively by magnetic resonance imaging (MRI) when viewing T-2-weighted images. EPVS are most commonly observed in the regions of the basal ganglia and the centrum semiovale; however, they have also been identified in the frontal cortex and hippocampal regions. EPVS are known to be increased in aging and hypertension, and are considered to be a biomarker of cerebral small vessel disease (SVD). Interest in EPVS has been significantly increased because these PVS are now considered to be an essential conduit necessary for the glymphatic pathway to provide the necessary efflux of metabolic waste. Metabolic waste includes misfolded proteins of amyloid beta and tau that are known to accumulate in late-onset Alzheimer's disease (LOAD) within the interstitial fluid that is delivered to the subarachnoid space and eventually the cerebral spinal fluid (CSF). The CSF acts as a sink for accumulating neurotoxicities and allows clinical screening to potentially detect if LOAD may be developing early on in its clinical progression via spinal fluid examination. EPVS are thought to occur by obstruction of the PVS that associates with excessive neuroinflammation, oxidative stress, and vascular stiffening that impairs flow due to a dampening of the arterial and arteriolar pulsatility that aids in the convective flow of the metabolic debris within the glymphatic effluxing system. Additionally, increased EPVS has also been associated with Parkinson's disease and non-age-related multiple sclerosis (MS).
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Affiliation(s)
- Tatyana Shulyatnikova
- Department of Pathological Anatomy and Forensic Medicine, Zaporizhzhia State Medical University, Mayakovsky Avenue, 26, 69035 Zaporizhzhia, Ukraine
| | - Melvin R Hayden
- Department of Internal Medicine, Endocrinology Diabetes and Metabolism, Diabetes and Cardiovascular Disease Center, University of Missouri School of Medicine, One Hospital Drive, Columbia, MO 65211, USA
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20
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Xu S, Xie L, Zhang Y, Wu X, Hong H, Zhang R, Zeng Q, Li K, Luo X, Zhang M, Sun J, Huang P. Inferior Frontal Sulcal Hyperintensity on FLAIR Is Associated with Small Vessel Disease but not Alzheimer's Disease Pathology. J Alzheimers Dis 2023; 92:1357-1365. [PMID: 36911935 DOI: 10.3233/jad-220843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
BACKGROUND The inferior frontal sulci are essential sites on the route of cerebrospinal fluid outflow. A recent study suggests that inferior frontal sulcal hyperintensities (IFSH) on FLAIR images might be related to glymphatic dysfunction. OBJECTIVE To investigate whether IFSH is associated with Alzheimer's disease (AD) pathology and cerebral small vessel disease (SVD) burden. METHODS We retrospectively collected data from 272 non-demented subjects in the ADNI3 database. The IFSH was assessed on 3D fluid-attenuated inversion recovery images. The standardized uptake value ratios of amyloid and tau PET were used to reflect the AD pathology burden. To measure the SVD burden, we assessed white matter hyperintensities (WMH), dilation of perivascular spaces, microbleeds, and lacunes. Finally, we performed ordinal logistic regression analyses to investigate the associations between the IFSH score and AD pathology and SVD burden. RESULTS The IFSH score was associated with the deep WMH score (OR, 1.79; 95% CI, 1.24 - 2.59) controlling for age and sex. The association remained significant in the multivariable regression models. There was no association between the IFSH score and AD pathology burden. CONCLUSION This study suggests that the IFSH sign is associated with SVD but not AD pathology. Further studies are needed to confirm the findings.
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Affiliation(s)
- Shan Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linyun Xie
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yao Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Wu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianzhong Sun
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Lynch M, Pham W, Sinclair B, O’Brien TJ, Law M, Vivash L. Perivascular spaces as a potential biomarker of Alzheimer's disease. Front Neurosci 2022; 16:1021131. [PMID: 36330347 PMCID: PMC9623161 DOI: 10.3389/fnins.2022.1021131] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 09/23/2022] [Indexed: 07/20/2023] Open
Abstract
Alzheimer's disease (AD) is a highly damaging disease that affects one's cognition and memory and presents an increasing societal and economic burden globally. Considerable research has gone into understanding AD; however, there is still a lack of effective biomarkers that aid in early diagnosis and intervention. The recent discovery of the glymphatic system and associated Perivascular Spaces (PVS) has led to the theory that enlarged PVS (ePVS) may be an indicator of AD progression and act as an early diagnostic marker. Visible on Magnetic Resonance Imaging (MRI), PVS appear to enlarge when known biomarkers of AD, amyloid-β and tau, accumulate. The central goal of ePVS and AD research is to determine when ePVS occurs in AD progression and if ePVS are causal or epiphenomena. Furthermore, if ePVS are indeed causative, interventions promoting glymphatic clearance are an attractive target for research. However, it is necessary first to ascertain where on the pathological progression of AD ePVS occurs. This review aims to examine the knowledge gap that exists in understanding the contribution of ePVS to AD. It is essential to understand whether ePVS in the brain correlate with increased regional tau distribution and global or regional Amyloid-β distribution and to determine if these spaces increase proportionally over time as individuals experience neurodegeneration. This review demonstrates that ePVS are associated with reduced glymphatic clearance and that this reduced clearance is associated with an increase in amyloid-β. However, it is not yet understood if ePVS are the outcome or driver of protein accumulation. Further, it is not yet clear if ePVS volume and number change longitudinally. Ultimately, it is vital to determine early diagnostic criteria and early interventions for AD to ease the burden it presents to the world; ePVS may be able to fulfill this role and therefore merit further research.
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Affiliation(s)
- Miranda Lynch
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - William Pham
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Benjamin Sinclair
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Terence J. O’Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Meng Law
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Radiology, Alfred Health, Melbourne, VIC, Australia
- Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia
| | - Lucy Vivash
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
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