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Poiret C, Bouyeure A, Patil S, Grigis A, Duchesnay E, Faillot M, Bottlaender M, Lemaitre F, Noulhiane M. A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. Front Neuroinform 2023; 17:1130845. [PMID: 37396459 PMCID: PMC10308024 DOI: 10.3389/fninf.2023.1130845] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/22/2023] [Indexed: 07/04/2023] Open
Abstract
The hippocampal subfields, pivotal to episodic memory, are distinct both in terms of cyto- and myeloarchitectony. Studying the structure of hippocampal subfields in vivo is crucial to understand volumetric trajectories across the lifespan, from the emergence of episodic memory during early childhood to memory impairments found in older adults. However, segmenting hippocampal subfields on conventional MRI sequences is challenging because of their small size. Furthermore, there is to date no unified segmentation protocol for the hippocampal subfields, which limits comparisons between studies. Therefore, we introduced a novel segmentation tool called HSF short for hippocampal segmentation factory, which leverages an end-to-end deep learning pipeline. First, we validated HSF against currently used tools (ASHS, HIPS, and HippUnfold). Then, we used HSF on 3,750 subjects from the HCP development, young adults, and aging datasets to study the effect of age and sex on hippocampal subfields volumes. Firstly, we showed HSF to be closer to manual segmentation than other currently used tools (p < 0.001), regarding the Dice Coefficient, Hausdorff Distance, and Volumetric Similarity. Then, we showed differential maturation and aging across subfields, with the dentate gyrus being the most affected by age. We also found faster growth and decay in men than in women for most hippocampal subfields. Thus, while we introduced a new, fast and robust end-to-end segmentation tool, our neuroanatomical results concerning the lifespan trajectories of the hippocampal subfields reconcile previous conflicting results.
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Affiliation(s)
- Clement Poiret
- UNIACT, NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
| | - Antoine Bouyeure
- UNIACT, NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
| | - Sandesh Patil
- UNIACT, NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
| | - Antoine Grigis
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
| | - Edouard Duchesnay
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
| | - Matthieu Faillot
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- BioMaps, Service Hospitalier Frédéric Joliot, CNRS, Inserm, Université Paris-Saclay, Orsay, France
| | - Michel Bottlaender
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- BioMaps, Service Hospitalier Frédéric Joliot, CNRS, Inserm, Université Paris-Saclay, Orsay, France
| | - Frederic Lemaitre
- CETAPS EA 3832, Université de Rouen, Rouen, France
- CRIOBE, UAR 3278, CNRS-EPHE-UPVD, Mooréa, France
| | - Marion Noulhiane
- UNIACT, NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- NeuroSpin, CEA Paris-Saclay, Frederic Joliot Institute, Gif-sur-Yvette, France
- InDEV, NeuroDiderot, Université Paris Cité, Inserm, Paris, France
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Delabar JM, Lagarde J, Fructuoso M, Mohammad A, Bottlaender M, Doran E, Lott I, Rivals I, Schmitt FA, Head E, Sarazin M, Potier MC. Increased plasma DYRK1A with aging may protect against neurodegenerative diseases. Transl Psychiatry 2023; 13:111. [PMID: 37015911 PMCID: PMC10073199 DOI: 10.1038/s41398-023-02419-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/06/2023] Open
Abstract
Early markers are needed for more effective prevention of Alzheimer's disease. We previously showed that individuals with Alzheimer's disease have decreased plasma DYRK1A levels compared to controls. We assessed DYRK1A in the plasma of cognitively healthy elderly volunteers, individuals with either Alzheimer's disease (AD), tauopathies or Down syndrome (DS), and in lymphoblastoids from individuals with DS. DYRK1A levels were inversely correlated with brain amyloid β burden in asymptomatic elderly individuals and AD patients. Low DYRK1A levels were also detected in patients with tauopathies. Individuals with DS had higher DYRK1A levels than controls, although levels were lower in individuals with DS and with dementia. These data suggest that plasma DYRK1A levels could be used for early detection of at risk individuals of AD and for early detection of AD. We hypothesize that lack of increase of DYRK1A at middle age (40-50 years) could be a warning before the cognitive decline, reflecting increased risk for AD.
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Affiliation(s)
- Jean M Delabar
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France.
| | - Julien Lagarde
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, Paris, 75013, France
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Marta Fructuoso
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France
| | - Ammara Mohammad
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France
| | - Michel Bottlaender
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Eric Doran
- School of Medicine, Department of Pediatrics, University of California, Irvine, CA, 92697, USA
| | - Ira Lott
- School of Medicine, Department of Pediatrics, University of California, Irvine, CA, 92697, USA
| | - Isabelle Rivals
- Equipe de Statistique Appliquée, ESPCI Paris, INSERM, UMRS 1158 Neurophysiologie Respiratoire Expérimentale et Clinique, PSL Research University, Paris, 75005, France
| | - Frederic A Schmitt
- Department of Neurology, University of Kentucky, Lexington, KY, 40506, USA
| | - Elizabeth Head
- Department of Neurology, University of Kentucky, Lexington, KY, 40506, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, 92697, USA
| | - Marie Sarazin
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, Paris, 75013, France
- Paris-Saclay University, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, Orsay, 91400, France
| | - Marie-Claude Potier
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, 75013, France.
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Haeger A, Bottlaender M, Lagarde J, Porciuncula Baptista R, Rabrait-Lerman C, Luecken V, Schulz JB, Vignaud A, Sarazin M, Reetz K, Romanzetti S, Boumezbeur F. What can 7T sodium MRI tell us about cellular energy depletion and neurotransmission in Alzheimer's disease? Alzheimers Dement 2021; 17:1843-1854. [PMID: 34855281 DOI: 10.1002/alz.12501] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/09/2021] [Accepted: 09/22/2021] [Indexed: 12/20/2022]
Abstract
The pathophysiological processes underlying the development and progression of Alzheimer's disease (AD) on the neuronal level are still unclear. Previous research has hinted at metabolic energy deficits and altered sodium homeostasis with impaired neuronal function as a potential metabolic marker relevant for neurotransmission in AD. Using sodium (23 Na) magnetic resonance (MR) imaging on an ultra-high-field 7 Tesla MR scanner, we found increased cerebral tissue sodium concentration (TSC) in 17 biomarker-defined AD patients compared to 22 age-matched control subjects in vivo. TSC was highly discriminative between controls and early AD stages and was predictive for cognitive state, and associated with regional tau load assessed with flortaucipir-positron emission tomography as a possible mediator of TSC-associated neurodegeneration. TSC could therefore serve as a non-invasive, stage-dependent, metabolic imaging marker. Setting a focus on cellular metabolism and potentially disturbed interneuronal communication due to energy-dependent altered cell homeostasis could hamper progressive cognitive decline by targeting these processes in future interventions.
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Affiliation(s)
- Alexa Haeger
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France.,Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany
| | - Michel Bottlaender
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France.,Paris-Saclay University, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France
| | - Julien Lagarde
- Paris-Saclay University, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France.,Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Sainte-Anne Hospital, Paris, France.,Université de Paris, Paris, France
| | | | | | - Volker Luecken
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France
| | - Jörg B Schulz
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany
| | - Alexandre Vignaud
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France
| | - Marie Sarazin
- Paris-Saclay University, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France.,Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Sainte-Anne Hospital, Paris, France.,Université de Paris, Paris, France
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany
| | - Sandro Romanzetti
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH and RWTH Aachen University, Aachen, Germany
| | - Fawzi Boumezbeur
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France
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