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Koops EA, Dutta J, Hanseeuw BJ, Becker JA, Van Egroo M, Prokopiou PC, Price JC, Arnold SE, Sperling RA, Johnson KA, Jacobs HIL. Elevated locus coeruleus metabolism provides resilience against cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement 2025; 21:e14385. [PMID: 39588792 PMCID: PMC11772725 DOI: 10.1002/alz.14385] [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: 05/21/2024] [Revised: 10/03/2024] [Accepted: 10/04/2024] [Indexed: 11/27/2024]
Abstract
INTRODUCTION Alterations in locus coeruleus' (LC) metabolic turnover are associated with Alzheimer's disease (AD)-pathology and cognitive impairment. However, the evolution of these changes across disease stages and their functional relevance remains unknown. METHODS We examined associations of [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) -derived LC metabolism with clinical diagnostic status, cerebrospinal fluid (CSF) -based AD biomarkers of AD pathology, and cognitive decline in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants (n = 604). RESULTS FDG-PET-derived LC metabolism was elevated in the earliest preclinical stages and lower in later disease stages. Higher LC metabolism was associated with attenuated memory decline in preclinical stages, particularly in those with low CSF Aβ42, but not in AD patients with cognitive impairment. DISCUSSION Higher locus coeruleus [18F]-FDG-PET-derived signal in the early preclinical stages of AD can confer cognitive resilience and may reflect increased metabolic activity, whereas later stages are characterized by lower LC FDG-PET-derived signal, possibly due to neurodegeneration. HIGHLIGHTS LC FDG-PET signal is lower in Alzheimer's disease (AD) patients. LC FDG-PET signal is higher in the preclinical stage of AD. We observed less memory decline in those with higher LC FDG-PET signal. Higher LC FDG-PET signal conferred cognitive resilience in preclinical AD.
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Affiliation(s)
- Elouise A. Koops
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Joyita Dutta
- Department of Biomedical EngineeringUniversity of Massachusetts AmherstAmherstMassachusettsUSA
| | - Bernard J. Hanseeuw
- Gordon Center for Medical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - J. Alex Becker
- Gordon Center for Medical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Maxime Van Egroo
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Prokopis C. Prokopiou
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Julie C. Price
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Steven E. Arnold
- Alzheimer's Clinical and Translational Research Unit, Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
| | - Reisa A. Sperling
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
- Center for Alzheimer Research and Treatment, Department of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Keith A. Johnson
- Gordon Center for Medical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
- Center for Alzheimer Research and Treatment, Department of NeurologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Heidi I. L. Jacobs
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Faculty of Health, Medicine and Life Sciences, Mental Health and Neuroscience Research Institute, Alzheimer Centre LimburgMaastricht UniversityMaastrichtMDThe Netherlands
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Wang YTT, Rosa-Neto P, Gauthier S. Advanced brain imaging for the diagnosis of Alzheimer disease. Curr Opin Neurol 2023; 36:481-490. [PMID: 37639461 DOI: 10.1097/wco.0000000000001198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
PURPOSE OF REVIEW The purpose is to review the latest advances of brain imaging for the diagnosis of Alzheimer disease (AD). RECENT FINDINGS Brain imaging techniques provide valuable and complementary information to support the diagnosis of Alzheimer disease in clinical and research settings. The recent FDA accelerated approvals of aducanumab, lecanemab and donanemab made amyloid-PET critical in helping determine the optimal window for anti-amyloid therapeutic interventions. Tau-PET, on the other hand, is considered of key importance for the tracking of disease progression and for monitoring therapeutic interventions in clinical trials. PET imaging for microglial activation, astrocyte reactivity and synaptic degeneration are still new techniques only used in the research field, and more studies are needed to validate their use in the clinical diagnosis of AD. Finally, artificial intelligence has opened new prospective in the early detection of AD using MRI modalities. SUMMARY Brain imaging techniques using PET improve our understanding of the different AD-related pathologies and their relationship with each other along the course of disease. With more robust validation, machine learning and deep learning algorithms could be integrated with neuroimaging modalities to serve as valuable tools for clinicians to make early diagnosis and prognosis of AD.
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Chen HY, Parent JH, Ciampa CJ, Dahl MJ, Hämmerer D, Maass A, Winer JR, Yakupov R, Inglis B, Betts MJ, Berry AS. Interactive effects of locus coeruleus structure and catecholamine synthesis capacity on cognitive function. Front Aging Neurosci 2023; 15:1236335. [PMID: 37744395 PMCID: PMC10516288 DOI: 10.3389/fnagi.2023.1236335] [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: 06/07/2023] [Accepted: 08/24/2023] [Indexed: 09/26/2023] Open
Abstract
Background The locus coeruleus (LC) produces catecholamines (norepinephrine and dopamine) and is implicated in a broad range of cognitive functions including attention and executive function. Recent advancements in magnetic resonance imaging (MRI) approaches allow for the visualization and quantification of LC structure. Human research focused on the LC has since exploded given the LC's role in cognition and relevance to current models of psychopathology and neurodegenerative disease. However, it is unclear to what extent LC structure reflects underlying catecholamine function, and how LC structure and neurochemical function are collectively associated with cognitive performance. Methods A partial least squares correlation (PLSC) analysis was applied to 19 participants' LC structural MRI measures and catecholamine synthesis capacity measures assessed using [18F]Fluoro-m-tyrosine ([18F]FMT) positron emission tomography (PET). Results We found no direct association between LC-MRI and LC-[18F]FMT measures for rostral, middle, or caudal portions of the LC. We found significant associations between LC neuroimaging measures and neuropsychological performance that were driven by rostral and middle portions of the LC, which is in line with LC cortical projection patterns. Specifically, associations with executive function and processing speed arose from contributions of both LC structure and interactions between LC structure and catecholamine synthesis capacity. Conclusion These findings leave open the possibility that LC MRI and PET measures contribute unique information and suggest that their conjoint use may increase sensitivity to brain-behavior associations in small samples.
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Affiliation(s)
- Hsiang-Yu Chen
- Department of Psychology, Brandeis University, Waltham, MA, United States
| | - Jourdan H. Parent
- Department of Psychology, Brandeis University, Waltham, MA, United States
| | - Claire J. Ciampa
- Department of Psychology, Brandeis University, Waltham, MA, United States
| | - Martin J. Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- USC Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States
| | - Dorothea Hämmerer
- Psychological Institute, University of Innsbruck, Innsbruck, Austria
| | - Anne Maass
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg, Germany
| | - Joseph R. Winer
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| | - Renat Yakupov
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg, Germany
| | - Ben Inglis
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, Berkeley, CA, United States
| | - Matthew J. Betts
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Anne S. Berry
- Department of Psychology, Brandeis University, Waltham, MA, United States
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
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Zeng X, Wang Z, Tan W, Petersen E, Cao X, LaBella A, Boccia A, Franceschi D, de Leon M, Chiang GCY, Qi J, Biegon A, Zhao W, Goldan AH. A conformal TOF-DOI Prism-PET prototype scanner for high-resolution quantitative neuroimaging. Med Phys 2023; 50:10.1002/mp.16223. [PMID: 36651630 PMCID: PMC11025680 DOI: 10.1002/mp.16223] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Positron emission tomography (PET) has had a transformative impact on oncological and neurological applications. However, still much of PET's potential remains untapped with limitations primarily driven by low spatial resolution, which severely hampers accurate quantitative PET imaging via the partial volume effect (PVE). PURPOSE We present experimental results of a practical and cost-effective ultra-high resolution brain-dedicated PET scanner, using our depth-encoding Prism-PET detectors arranged along a compact and conformal gantry, showing substantial reduction in PVE and accurate radiotracer uptake quantification in small regions. METHODS The decagon-shaped prototype scanner has a long diameter of 38.5 cm, a short diameter of 29.1 cm, and an axial field-of-view (FOV) of 25.5 mm with a single ring of 40 Prism-PET detector modules. Each module comprises a 16 × 16 array of 1.5 × 1.5 × 20-mm3 lutetium yttrium oxyorthosillicate (LYSO) scintillator crystals coupled 4-to-1 to an 8 × 8 array of silicon photomultiplier (SiPM) pixels on one end and to a prismatoid light guide array on the opposite end. The scanner's performance was evaluated by measuring depth-of-interaction (DOI) resolution, energy resolution, timing resolution, spatial resolution, sensitivity, and image quality of ultra-micro Derenzo and three-dimensional (3D) Hoffman brain phantoms. RESULTS The full width at half maximum (FWHM) DOI, energy, and timing resolutions of the scanner are 2.85 mm, 12.6%, and 271 ps, respectively. Not considering artifacts due to mechanical misalignment of detector blocks, the intrinsic spatial resolution is 0.89-mm FWHM. Point source images reconstructed with 3D filtered back-projection (FBP) show an average spatial resolution of 1.53-mm FWHM across the entire FOV. The peak absolute sensitivity is 1.2% for an energy window of 400-650 keV. The ultra-micro Derenzo phantom study demonstrates the highest reported spatial resolution performance for a human brain PET scanner with perfect reconstruction of 1.00-mm diameter hot-rods. Reconstructed images of customized Hoffman brain phantoms prove that Prism-PET enables accurate radiotracer uptake quantification in small brain regions (2-3 mm). CONCLUSIONS Prism-PET will substantially strengthen the utility of quantitative PET in neurology for early diagnosis of neurodegenerative diseases, and in neuro-oncology for improved management of both primary and metastatic brain tumors.
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Affiliation(s)
- Xinjie Zeng
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
- Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, US
| | - Zipai Wang
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, US
| | - Wanbin Tan
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, US
| | - Eric Petersen
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, US
| | - Xinjie Cao
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
- Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, US
| | - Andy LaBella
- Department of Radiology, Boston children’s Hospital, Boston, MA, US
| | - Anthony Boccia
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
| | - Dinko Franceschi
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
| | - Mony de Leon
- Department of Radiology, Weill Cornell Medical College, Cornell University, New York, NY, US
| | - Gloria Chia-Yi Chiang
- Department of Radiology, Weill Cornell Medical College, Cornell University, New York, NY, US
| | - Jinyi Qi
- Department of Biomedical Engineering, University of California, Davis, CA, US
| | - Anat Biegon
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
| | - Wei Zhao
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
| | - Amir H. Goldan
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, US
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Wang Z, Cao X, LaBella A, Zeng X, Biegon A, Franceschi D, Petersen E, Clayton N, Ulaner GA, Zhao W, Goldan AH. High-resolution and high-sensitivity PET for quantitative molecular imaging of the monoaminergic nuclei: A GATE simulation study. Med Phys 2022; 49:4430-4444. [PMID: 35390182 PMCID: PMC11025683 DOI: 10.1002/mp.15653] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 02/03/2022] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Quantitative in vivo molecular imaging of fine brain structures requires high-spatial resolution and high-sensitivity. Positron emission tomography (PET) is an attractive candidate to introduce molecular imaging into standard clinical care due to its highly targeted and versatile imaging capabilities based on the radiotracer being used. However, PET suffers from relatively poor spatial resolution compared to other clinical imaging modalities, which limits its ability to accurately quantify radiotracer uptake in brain regions and nuclei smaller than 3 mm in diameter. Here we introduce a new practical and cost-effective high-resolution and high-sensitivity brain-dedicated PET scanner, using our depth-encoding Prism-PET detector modules arranged in a conformal decagon geometry, to substantially reduce the partial volume effect and enable accurate radiotracer uptake quantification in small subcortical nuclei. METHODS Two Prism-PET brain scanner setups were proposed based on our 4-to-1 and 9-to-1 coupling of scintillators to readout pixels using1.5 × 1.5 × 20 $1.5 \times 1.5 \times 20$ mm3 and0.987 × 0.987 × 20 $0.987 \times 0.987 \times 20$ mm3 crystal columns, respectively. Monte Carlo simulations of our Prism-PET scanners, Siemens Biograph Vision, and United Imaging EXPLORER were performed using Geant4 application for tomographic emission (GATE). National Electrical Manufacturers Association (NEMA) standard was followed for the evaluation of spatial resolution, sensitivity, and count-rate performance. An ultra-micro hot spot phantom was simulated for assessing image quality. A modified Zubal brain phantom was utilized for radiotracer imaging simulations of 5-HT1A receptors, which are abundant in the raphe nuclei (RN), and norepinephrine transporters, which are highly concentrated in the bilateral locus coeruleus (LC). RESULTS The Prism-PET brain scanner with 1.5 mm crystals is superior to that with 1 mm crystals as the former offers better depth-of-interaction (DOI) resolution, which is key to realizing compact and conformal PET scanner geometries. We achieved uniform 1.3 mm full-width-at-half-maximum (FWHM) spatial resolutions across the entire transaxial field-of-view (FOV), a NEMA sensitivity of 52.1 kcps/MBq, and a peak noise equivalent count rate (NECR) of 957.8 kcps at 25.2 kBq/mL using 450-650 keV energy window. Hot spot phantom results demonstrate that our scanner can resolve regions as small as 1.35 mm in diameter at both center and 10 cm away from the center of the transaixal FOV. Both 5-HT1A receptor and norepinephrine transporter brain simulations prove that our Prism-PET scanner enables accurate quantification of radiotracer uptake in small brain regions, with a 1.8-fold and 2.6-fold improvement in the dorsal RN as well as a 3.2-fold and 4.4-fold improvement in the bilateral LC compared to the Biograph Vision and EXPLORER, respectively. CONCLUSIONS Based on our simulation results, the proposed high-resolution and high-sensitivity Prism-PET brain scanner is a promising cost-effective candidate to achieve quantitative molecular neuroimaging of small but important brain regions with PET clinically viable.
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Affiliation(s)
- Zipai Wang
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, New York, USA
| | - Xinjie Cao
- Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, New York, USA
| | - Andy LaBella
- Department of Radiology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Xinjie Zeng
- Department of Electrical and Computer Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, New York, USA
| | - Anat Biegon
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
| | - Dinko Franceschi
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
| | - Eric Petersen
- Department of Biomedical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, New York, USA
| | - Nicholas Clayton
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
| | - Gary A. Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, California, USA
| | - Wei Zhao
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
| | - Amir H. Goldan
- Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
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David M, Malhotra PA. New approaches for the quantification and targeting of noradrenergic dysfunction in Alzheimer's disease. Ann Clin Transl Neurol 2022; 9:582-596. [PMID: 35293158 PMCID: PMC8994981 DOI: 10.1002/acn3.51539] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 12/14/2022] Open
Abstract
There is clear, early noradrenergic dysfunction in Alzheimer's disease. This is likely secondary to pathological tau deposition in the locus coeruleus, the pontine nucleus that produces and releases noradrenaline, prior to involvement of cortical brain regions. Disruption of noradrenergic pathways affects cognition, especially attention, impacting memory and broader functioning. Additionally, it leads to autonomic and neuropsychiatric symptoms. Despite the strong evidence of noradrenergic involvement in Alzheimer's, there are no clear trial data supporting the clinical use of any noradrenergic treatments. Several approaches have been tried, including proof-of-principle studies and (mostly small scale) randomised controlled trials. Treatments have included pharmacotherapies as well as stimulation. The lack of clear positive findings is likely secondary to limitations in gauging locus coeruleus integrity and dysfunction at an individual level. However, the recent development of several novel biomarkers holds potential and should allow quantification of dysfunction. This may then inform inclusion criteria and stratification for future trials. Imaging approaches have improved greatly following the development of neuromelanin-sensitive sequences, enabling the use of structural MRI to estimate locus coeruleus integrity. Additionally, functional MRI scanning has the potential to quantify network dysfunction. As well as neuroimaging, EEG, fluid biomarkers and pupillometry techniques may prove useful in assessing noradrenergic tone. Here, we review the development of these biomarkers and how they might augment clinical studies, particularly randomised trials, through identification of patients most likely to benefit from treatment. We outline the biomarkers with most potential, and how they may transform symptomatic therapy for people living with Alzheimer's disease.
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Affiliation(s)
- Michael David
- Imperial College London and the University of SurreyUK Dementia Research Institute Care Research and Technology CentreSir Michael Uren Hub, 86 Wood LaneLondonW12 0BZUK
- Imperial College London, Brain SciencesSouth KensingtonLondonSW7 2AZUK
- Imperial College Healthcare NHS Trust, Clinical NeurosciencesCharing Cross HospitalLondonW2 1NYUK
| | - Paresh A. Malhotra
- Imperial College London and the University of SurreyUK Dementia Research Institute Care Research and Technology CentreSir Michael Uren Hub, 86 Wood LaneLondonW12 0BZUK
- Imperial College London, Brain SciencesSouth KensingtonLondonSW7 2AZUK
- Imperial College Healthcare NHS Trust, Clinical NeurosciencesCharing Cross HospitalLondonW2 1NYUK
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Ciampa CJ, Parent JH, Harrison TM, Fain RM, Betts MJ, Maass A, Winer JR, Baker SL, Janabi M, Furman DJ, D'Esposito M, Jagust WJ, Berry AS. Associations among locus coeruleus catecholamines, tau pathology, and memory in aging. Neuropsychopharmacology 2022; 47:1106-1113. [PMID: 35034099 PMCID: PMC8938463 DOI: 10.1038/s41386-022-01269-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/16/2021] [Accepted: 01/04/2022] [Indexed: 12/20/2022]
Abstract
The locus coeruleus (LC) is the brain's major source of the neuromodulator norepinephrine, and is also profoundly vulnerable to the development of Alzheimer's disease (AD)-related tau pathology. Norepinephrine plays a role in neuroprotective functions that may reduce AD progression, and also underlies optimal memory performance. Successful maintenance of LC neurochemical function represents a candidate mechanism of protection against the propagation of AD-related pathology and may facilitate the preservation of memory performance despite pathology. Using [18F]Fluoro-m-tyrosine ([18F]FMT) PET imaging to measure catecholamine synthesis capacity in LC regions of interest, we examined relationships among LC neurochemical function, AD-related pathology, and memory performance in cognitively normal older adults (n = 49). Participants underwent [11C]Pittsburgh compound B and [18F]Flortaucipir PET to quantify β-amyloid (n = 49) and tau burden (n = 42) respectively. In individuals with substantial β-amyloid, higher LC [18F]FMT net tracer influx (Kivis) was associated with lower temporal tau. Longitudinal tau-PET analyses in a subset of our sample (n = 30) support these findings to reveal reduced temporal tau accumulation in the context of higher LC [18F]FMT Kivis. Higher LC catecholamine synthesis capacity was positively correlated with self-reported cognitive engagement and physical activity across the lifespan, established predictors of successful aging measured with the Lifetime Experiences Questionnaire. LC catecholamine synthesis capacity moderated tau's negative effect on memory, such that higher LC catecholamine synthesis capacity was associated with better-than-expected memory performance given an individual's tau burden. These PET findings provide insight into the neurochemical mechanisms of AD vulnerability and cognitive resilience in the living human brain.
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Affiliation(s)
- Claire J Ciampa
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
| | - Jourdan H Parent
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Rebekah M Fain
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
| | - Matthew J Betts
- Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Magdeburg, 39106, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg, 39120, Germany
- Center for Behavioral Brain Sciences, University of Magdeburg, Magdeburg, Germany
| | - Anne Maass
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg, 39120, Germany
| | - Joseph R Winer
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Suzanne L Baker
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Mustafa Janabi
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Daniella J Furman
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
- University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Mark D'Esposito
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Anne S Berry
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA.
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
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