In vivo MRI Structural and PET Metabolic Connectivity Study of Dopamine Pathways in Alzheimer’s Disease
Abstract
BACKGROUND: Alzheimer's disease (AD) is characterized by an involvement of brain dopamine (DA) circuitry, the presence of which has been associated with emergence of both neuropsychiatric symptoms and cognitive deficits. OBJECTIVE: In order to investigate whether and how the DA pathways are involved in the pathophysiology of AD, we assessed by in vivo neuroimaging the structural and metabolic alterations of subcortical and cortical DA pathways and targets. METHODS: We included 54 healthy control participants, 53 amyloid-positive subjects with mild cognitive impairment due to AD (MCI-AD), and 60 amyloid-positive patients with probable dementia due to AD (ADD), all with structural 3T MRI and 18F-FDG-PET scans. We assessed MRI-based gray matter reductions in the MCI-AD and ADD groups within an anatomical a priori-defined Nigrostriatal and Mesocorticolimbic DA pathways, followed by 18F-FDG-PET metabolic connectivity analyses to evaluate network-level metabolic connectivity changes. RESULTS: We found significant tissue loss in the Mesocorticolimbic over the Nigrostriatal pathway. Atrophy was evident in the ventral striatum, orbitofrontal cortex, and medial temporal lobe structures, and already plateaued in the MCI-AD stage. Degree of atrophy in Mesocorticolimbic regions positively correlated with the severity of depression, anxiety, and apathy in MCI-AD and ADD subgroups. Additionally, we observed significant alterations of metabolic connectivity between the ventral striatum and fronto-cingulate regions in ADD, but not in MCI-AD. There were no metabolic connectivity changes within the Nigrostriatal pathway. CONCLUSION: Our cross-sectional data support a clinically-meaningful, yet stage-dependent, involvement of the Mesocorticolimbic system in AD. Longitudinal and clinical correlation studies are needed to further establish the relevance of DA system involvement in AD.
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Our data confirm the very recent clinical evidence from MCI and AD patients showing that functional, structural and metabolic changes affecting the VTA and its projection areas in the mesocorticolimbic pathway occur at the earlier stages of the disease.
“Our data confirm the very recent clinical evidence from MCI and AD patients showing that functional, structural and metabolic changes affecting the VTA and its projection areas in the mesocorticolimbic pathway occur at the earlier stages of the disease (De Marco and Ven neri, 2018; Iaccarino et al., 2020; Serra et al., 2018).”
From Nilotinib restores memory function by preventing dopaminergic neuron degeneration in a mouse model of Alzheimer’s Disease (2021) · cites this paper as Iaccarino et al., 2020
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Self-citationShape Abnormalities of the Striatum in Alzheimer's Disease
de Jong, L. W., Ferrarini, L., van der Grond, J., Milles, J., Reiber, J. H. C., Westendorp, R. G. J., Bollen, E. L. E. M., Middelkoop, H. A. M., & van Buchem, M. A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101026 · Cited by 55 · see citing works
Pagani, M., Giuliani, A., Öberg, J., et al. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.184309 · Cited by 52 · see citing works
The emerging role of PET imaging in dementia
Iaccarino, L., Sala, A., Caminiti, S. P., & Perani, D. (2017) · F1000Research · doi:10.12688/f1000research.11603.1 · Cited by 51 · see citing works
Self-citationCaminiti, S. P., Alongi, P., Majno, L., Volonté, M. A., Cerami, C., Gianolli, L., Comı, G., & Perani, D. (2017) · European Journal of Neurology · doi:10.1111/ene.13269 · Cited by 46 · see citing works
Self-citationValidation of 18F–FDG-PET Single-Subject Optimized SPM Procedure with Different PET Scanners
Presotto, L., Ballarini, T., Caminiti, S. P., Bettinardi, V., Gianolli, L., & Perani, D. (2017) · Neuroinformatics · doi:10.1007/s12021-016-9322-9 · Cited by 41 · see citing works
Self-citationAlzheimer disease neuropathology:understanding autonomic dysfunction
Engelhardt, E., & Laks, J. (2008) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642009dn20300004 · Cited by 34 · see citing works
A biomarker study in long-lasting amnestic mild cognitive impairment
Cerami, C., Dodich, A., Iannaccone, S., Magnani, G., Santangelo, R., Presotto, L., Marcone, A., Gianolli, L., Cappa, S. F., & Perani, D. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0369-8 · Cited by 34 · see citing works
Self-citationBrain dopamine D-1 receptors in senile dementia
Rinne, J. O., Säkö, E., Paljärvi, L., Mölsä, P. K., & Rinne, U. K. (1986) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(86)90132-2 · Cited by 29 · see citing works
Metabolic regional and network changes in Alzheimer's disease subtypes
Herholz, K., Haense, C., Gerhard, A., Jones, M. S., Anton‐Rodriguez, J., Segobin, S. H., Snowden, J. S., Thompson, J. C., & Kobylecki, C. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17718436 · Cited by 27 · see citing works
Zheng, L., Vinters, H. V., Mack, W. J., Weiner, M. W., Chui, H. C., & for the IVD program project (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.152 · Cited by 26 · see citing works
From metabolic connectivity to molecular connectivity: application to dopaminergic pathways
Verger, A., Horowitz, T., Chawki, M. B., Eusébio, A., Bordonné, M., Azulay, J., Girard, N. J., & Guedj, É. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04574-3 · Cited by 24 · see citing works
Gallivanone, F., Rosa, P. A. D., Perani, D., et al. (2017) · The Quarterly Journal of Nuclear Medicine and Molecular Imaging · doi:10.23736/s1824-4785.16.02749-7 · Cited by 22 · see citing works
Self-citationUnfavourable gender effect of high body mass index on brain metabolism and connectivity
Malpetti, M., Sala, A., Vanoli, E. G., Gianolli, L., Luzi, L., & Perani, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-30883-y · Cited by 22 · see citing works
Self-citationThe Relationship Between Atrophy and Hypometabolism: Is It Regionally Dependent in Dementias?
Rodríguez‐Oroz, M., Gago, B., Clavero, P., Delgado‐Alvarado, M., García‐García, D., & Jiménez‐Urbieta, H. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0562-0 · Cited by 21 · see citing works
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La Barbera, L., Vedele, F., Nobili, A., Krashia, P., Spoleti, E., Latagliata, E. C., Cutuli, D., Cauzzi, E., Marino, R., Viscomi, M. T., et al. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102031 · Cited by 98 · see citing works
- Authors
- Iaccarino, L., Sala, A., Caminiti, S. P., Presotto, L., Perani, D., & Initiative, F. T. A. D. N.
- Affiliations
- Vita-Salute San Raffaele University (IT)
- IRCCS Ospedale San Raffaele (IT)
- Corresponding author
- Perani, Daniela
- Venue
- Journal of Alzheimer s Disease
- Publisher
- SAGE Publications
- Published
- 2020-05-04
- Volume
- 75
- Issue
- 3
- Pages
- 1003-1016
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W3023784418
- Cited by
- 40
- References
- 99
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 5 · 2022: 8 · 2021: 8 · 2020: 3
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- ORBi (University of Liège) (submittedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- Canadian Institutes of Health Research
- National Institute on Aging (U01-AG-024904)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, dopaminergic pathways
- MeSH terms
- Aged, Alzheimer Disease, Brain, Dopamine, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Retrospective Studies, Positron-Emission Tomography, Gray Matter
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