1,750 results on '"Ewers Michael"'
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2. How can educational support for parents in the care of children with life-limiting illnesses be successful? An empirically-founded and theory-based concept development / Wie kann edukative Begleitung von Eltern in der Versorgung lebenslimitierend erkrankter Kinder gelingen? Eine empirischfundierte und theoriegeleitete Konzeptentwicklung
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Thierfelder Ina, Tegethoff Dorothea, and Ewers Michael
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informal care ,parental participation ,self-regulation ,physiotherapy ,concept development ,informelle versorgung ,elternbeteiligung ,selbstregulation ,physiotherapie ,konzeptentwicklung ,Public aspects of medicine ,RA1-1270 - Abstract
Parents of children with life-limiting diseases are central informal care providers. They fill out their role as co-producers of the health care system in different ways, as empirically reconstructed parent type's show. In this article, the heterogeneous social practice of physiotherapeutic care provision is reflected from the perspective of self-regulation theory. The aim is to identify starting points for how parental self-efficacy can be positively influenced by educational support.
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- 2021
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3. Providing care to long-term mechanically ventilated patients in Germany – Current situation and needs for action from the perspective of health professionals / Die Versorgung langzeitbeatmeter Patienten in Deutschland – Aktuelle Situation und Handlungsbedarfe aus der Sicht von Gesundheitsberufsangehörigen
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Lehmann Yvonne, Stark Susanne, and Ewers Michael
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invasive mechanical ventilation ,long-term care ,health professionals ,germany ,qualitative research ,health services research ,invasive beatmung ,langzeitversorgung ,gesundheitsberufsangehörige ,deutschland ,qualitative studie ,versorgungsforschung ,Public aspects of medicine ,RA1-1270 - Abstract
The number of patients depending on long-term invasive mechanical ventilation (IMV) has been increasing for several years. Anecdotal reports indicate heterogeneous health structures, opaque patient pathways, nontransparent and sometimes questionable practices in individual areas of care, inadequate quality standards and control mechanisms in Germany. However, there is hardly any empirical data on this topic.
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- 2020
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4. Sex and gender differences in cognitive resilience to aging and Alzheimer's disease
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Arenaza‐Urquijo, Eider M, Boyle, Rory, Casaletto, Kaitlin, Anstey, Kaarin J, Vila‐Castelar, Clara, Colverson, Aaron, Palpatzis, Eleni, Eissman, Jaclyn M, Ng, Ted Kheng Siang, Raghavan, Sheelakumari, Akinci, Muge, Vonk, Jet MJ, Machado, Luiza S, Zanwar, Preeti P, Shrestha, Hom L, Wagner, Maude, Tamburin, Stefano, Sohrabi, Hamid R, Loi, Samantha, Bartrés‐Faz, David, Dubal, Dena B, Vemuri, Prashanthi, Okonkwo, Ozioma, Hohman, Timothy J, Ewers, Michael, Buckley, Rachel F, and for the Reserve, Resilience and Protective Factors Professional Interest Area
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Biological Psychology ,Psychology ,Alzheimer's Disease ,Neurodegenerative ,Acquired Cognitive Impairment ,Aging ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Behavioral and Social Science ,Neurosciences ,Brain Disorders ,2.1 Biological and endogenous factors ,Neurological ,Humans ,Alzheimer Disease ,Sex Characteristics ,Female ,Male ,Cognition ,Sex Factors ,Brain ,Risk Factors ,Animals ,Cognitive Dysfunction ,Resilience ,Psychological ,brain maintenance ,cardiovascular ,cognitive decline ,cognitive reserve ,education ,genetics ,inequalities ,lifestyle ,TDP43 ,Reserve ,Resilience and Protective Factors Professional Interest Area ,Sex and Gender Professional Interest area and the ADDRESS! Special Interest Group ,Clinical Sciences ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
Sex and gender-biological and social constructs-significantly impact the prevalence of protective and risk factors, influencing the burden of Alzheimer's disease (AD; amyloid beta and tau) and other pathologies (e.g., cerebrovascular disease) which ultimately shape cognitive trajectories. Understanding the interplay of these factors is central to understanding resilience and resistance mechanisms explaining maintained cognitive function and reduced pathology accumulation in aging and AD. In this narrative review, the ADDRESS! Special Interest Group (Alzheimer's Association) adopted a multidisciplinary approach to provide the foundations and recommendations for future research into sex- and gender-specific drivers of resilience, including a sex/gender-oriented review of risk factors, genetics, AD and non-AD pathologies, brain structure and function, and animal research. We urge the field to adopt a sex/gender-aware approach to resilience to advance our understanding of the intricate interplay of biological and social determinants and consider sex/gender-specific resilience throughout disease stages. HIGHLIGHTS: Sex differences in resilience to cognitive decline vary by age and cognitive status. Initial evidence supports sex-specific distinctions in brain pathology. Findings suggest sex differences in the impact of pathology on cognition. There is a sex-specific change in resilience in the transition to clinical stages. Gender and sex factors warrant study: modifiable, immune, inflammatory, and vascular.
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- 2024
5. Stereotypes in health professional students – perspectives for research about interprofessional learning, teaching and working / Stereotype von Lernenden in den Gesundheitsprofessionen – Perspektiven für die Forschung zum interprofessionellen Lernen, Lehren und Arbeiten
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Wild Heike and Ewers Michael
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stereotypes ,students ,health professional ,interprofessional education ,empirical research ,review ,stereotype ,lernende ,gesundheitsprofession ,interprofessionelles lernen ,empirische forschung ,Public aspects of medicine ,RA1-1270 - Abstract
As the scientific discourse about interprofessional learning, teaching, and practice has been gaining momentum in recent years, German-speaking countries still have a considerable amount of catching up to do compared with other countries. The discourse about stereotypes and their effects may serve as an example in this respect.
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- 2017
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6. Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients
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Biesbroek, J Matthijs, Coenen, Mirthe, DeCarli, Charles, Fletcher, Evan M, Maillard, Pauline M, Initiative, Alzheimer's Disease Neuroimaging, Barkhof, Frederik, Barnes, Josephine, Benke, Thomas, Chen, Christopher PLH, Dal‐Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Franzmeier, Nicolai, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, McCreary, Cheryl R, Papma, Janne M, Paterson, Ross W, Pijnenburg, Yolande AL, Rubinski, Anna, Schmidt, Reinhold, Schott, Jonathan M, Slattery, Catherine F, Smith, Eric E, Sudre, Carole H, Steketee, Rebecca ME, Teunissen, Charlotte E, van den Berg, Esther, van der Flier, Wiesje M, Venketasubramanian, Narayanaswamy, Venkatraghavan, Vikram, Vernooij, Meike W, Wolters, Frank J, Xin, Xu, Kuijf, Hugo J, and Biessels, Geert Jan
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Vascular Cognitive Impairment/Dementia ,Dementia ,Cerebrovascular ,Aging ,Brain Disorders ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease Related Dementias (ADRD) ,Acquired Cognitive Impairment ,Alzheimer's Disease ,Clinical Research ,Neurodegenerative ,Neurological ,Humans ,Female ,Middle Aged ,Aged ,Aged ,80 and over ,Male ,White Matter ,Arteriolosclerosis ,Amyloid beta-Peptides ,Magnetic Resonance Imaging ,amyloid pathology ,arteriolosclerosis ,dementia ,lesion pattern ,white matter hyperintensities ,Alzheimer's Disease Neuroimaging Initiative ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionWhite matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations associated with vascular risk or cerebral amyloid-β1-42 (Aβ42)-positive status.MethodsIndividual patient data (n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. WMH volumes in 28 regions were related to a vascular risk compound score (VRCS) and Aß42 status (based on cerebrospinal fluid or amyloid positron emission tomography), correcting for age, sex, study site, and total WMH volume.ResultsVRCS was associated with WMH in anterior/superior corona radiata (B = 0.034/0.038, p
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- 2024
7. Blood-based quantification of Aβ oligomers indicates impaired clearance from brain in ApoE ε4 positive subjects
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Blömeke, Lara, Rehn, Fabian, Pils, Marlene, Kraemer-Schulien, Victoria, Cousin, Anneliese, Kutzsche, Janine, Bujnicki, Tuyen, Freiesleben, Silka D., Schneider, Luisa-Sophie, Preis, Lukas, Priller, Josef, Spruth, Eike J., Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Hansen, Niels, Rostamzadeh, Ayda, Düzel, Emrah, Glanz, Wenzel, Incesoy, Enise I., Buerger, Katharina, Janowitz, Daniel, Ewers, Michael, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Munk, Matthias H., Spottke, Annika, Roy, Nina, Heneka, Michael T., Brosseron, Frederic, Wagner, Michael, Roeske, Sandra, Ramirez, Alfredo, Schmid, Matthias, Jessen, Frank, Bannach, Oliver, Peters, Oliver, and Willbold, Dieter
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- 2024
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8. Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults
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Bernal, Jose, Menze, Inga, Yakupov, Renat, Peters, Oliver, Hellmann-Regen, Julian, Freiesleben, Silka Dawn, Priller, Josef, Spruth, Eike Jakob, Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn H., Jessen, Frank, Rostamzadeh, Ayda, Glanz, Wenzel, Incesoy, Enise I., Buerger, Katharina, Janowitz, Daniel, Ewers, Michael, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Sodenkamp, Sebastian, Spottke, Annika, Esser, Anna, Lüsebrink, Falk, Dechent, Peter, Hetzer, Stefan, Scheffler, Klaus, Schreiber, Stefanie, Düzel, Emrah, and Ziegler, Gabriel
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- 2024
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9. “Between formulas and freestyle” – a qualitative analysis of peer tutor preparation and its impact on peer relations
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Herinek, Doreen, Woodward-Kron, Robyn, and Ewers, Michael
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- 2024
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10. Elevated CSF GAP-43 is associated with accelerated tau accumulation and spread in Alzheimer’s disease
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Franzmeier, Nicolai, Dehsarvi, Amir, Steward, Anna, Biel, Davina, Dewenter, Anna, Roemer, Sebastian Niclas, Wagner, Fabian, Groß, Mattes, Brendel, Matthias, Moscoso, Alexis, Arunachalam, Prithvi, Blennow, Kaj, Zetterberg, Henrik, Ewers, Michael, and Schöll, Michael
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- 2024
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11. Gesundheitsinformation im Schulalltag
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Ewers, Michael
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- 2024
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12. Different inflammatory signatures based on CSF biomarkers relate to preserved or diminished brain structure and cognition
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Hayek, Dayana, Ziegler, Gabriel, Kleineidam, Luca, Brosseron, Frederic, Nemali, Aditya, Vockert, Niklas, Ravichandran, Kishore A., Betts, Matthew J., Peters, Oliver, Schneider, Luisa-Sophie, Wang, Xiao, Priller, Josef, Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Bartels, Claudia, Rostamzadeh, Ayda, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Mengel, David, Synofzik, Matthis, Munk, Matthias H., Spottke, Annika, Roy, Nina, Roeske, Sandra, Kuhn, Elizabeth, Ramirez, Alfredo, Dobisch, Laura, Schmid, Matthias, Berger, Moritz, Wolfsgruber, Steffen, Yakupov, Renat, Hetzer, Stefan, Dechent, Peter, Ewers, Michael, Scheffler, Klaus, Schott, Björn H., Schreiber, Stefanie, Orellana, Adelina, de Rojas, Itziar, Marquié, Marta, Boada, Mercè, Sotolongo, Oscar, González, Pablo García, Puerta, Raquel, Düzel, Emrah, Jessen, Frank, Wagner, Michael, Ruiz, Augustín, Heneka, Michael T., and Maass, Anne
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- 2024
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13. Florbetapir PET-assessed demyelination is associated with faster tau accumulation in an APOE ε4-dependent manner
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Rubinski, Anna, Dewenter, Anna, Zheng, Lukai, Franzmeier, Nicolai, Stephenson, Henry, Deming, Yuetiva, Duering, Marco, Gesierich, Benno, Denecke, Jannis, Pham, An-Vi, Bendlin, Barbara, and Ewers, Michael
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- 2024
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14. Spatial distributions of white matter hyperintensities on brain MRI: A pooled analysis of individual participant data from 11 memory clinic cohorts
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Coenen, Mirthe, Biessels, Geert Jan, DeCarli, Charles, Fletcher, Evan F, Maillard, Pauline M, Initiative, Alzheimer's Disease Neuroimaging, Barkhof, Frederik, Barnes, Josephine, Benke, Thomas, Boomsma, Jooske MF, Chen, Christopher PLH, Dal-Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Franzmeier, Nicolai, Groeneveld, Onno, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, McCreary, Cheryl R, Papma, Janne M, Paterson, Ross W, Pijnenburg, Yolande AL, Rubinski, Anna, Schmidt, Reinhold, Schott, Jonathan M, Slattery, Catherine F, Smith, Eric E, Sudre, Carole H, Steketee, Rebecca ME, van den Berg, Esther, van der Flier, Wiesje M, Venketasubramanian, Narayanaswamy, Vernooij, Meike W, Wolters, Frank J, Xin, Xu, Biesbroek, J Matthijs, and Kuijf, Hugo J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Dementia ,Brain Disorders ,Machine Learning and Artificial Intelligence ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Acquired Cognitive Impairment ,Vascular Cognitive Impairment/Dementia ,Aging ,Networking and Information Technology R&D (NITRD) ,Neurosciences ,Cerebrovascular ,Neurodegenerative ,Clinical Research ,Alzheimer's Disease Related Dementias (ADRD) ,Neurological ,Humans ,White Matter ,Brain ,Magnetic Resonance Imaging ,Neuroimaging ,Cognitive Dysfunction ,Multicenter Studies as Topic ,White matter hyperintensities ,Brain MRI ,Distribution frequencies ,Lesion location ,Alzheimer's Disease Neuroimaging Initiative ,Biological psychology ,Clinical and health psychology - Abstract
IntroductionThe spatial distribution of white matter hyperintensities (WMH) on MRI is often considered in the diagnostic evaluation of patients with cognitive problems. In some patients, clinicians may classify WMH patterns as "unusual", but this is largely based on expert opinion, because detailed quantitative information about WMH distribution frequencies in a memory clinic setting is lacking. Here we report voxel wise 3D WMH distribution frequencies in a large multicenter dataset and also aimed to identify individuals with unusual WMH patterns.MethodsIndividual participant data (N = 3525, including 777 participants with subjective cognitive decline, 1389 participants with mild cognitive impairment and 1359 patients with dementia) from eleven memory clinic cohorts, recruited through the Meta VCI Map Consortium, were used. WMH segmentations were provided by participating centers or performed in Utrecht and registered to the Montreal Neurological Institute (MNI)-152 brain template for spatial normalization. To determine WMH distribution frequencies, we calculated WMH probability maps at voxel level. To identify individuals with unusual WMH patterns, region-of-interest (ROI) based WMH probability maps, rule-based scores, and a machine learning method (Local Outlier Factor (LOF)), were implemented.ResultsWMH occurred in 82% of voxels from the white matter template with large variation between subjects. Only a small proportion of the white matter (1.7%), mainly in the periventricular areas, was affected by WMH in at least 20% of participants. A large portion of the total white matter was affected infrequently. Nevertheless, 93.8% of individual participants had lesions in voxels that were affected in less than 2% of the population, mainly located in subcortical areas. Only the machine learning method effectively identified individuals with unusual patterns, in particular subjects with asymmetric WMH distribution or with WMH at relatively rarely affected locations despite common locations not being affected.DiscussionAggregating data from several memory clinic cohorts, we provide a detailed 3D map of WMH lesion distribution frequencies, that informs on common as well as rare localizations. The use of data-driven analysis with LOF can be used to identify unusual patterns, which might serve as an alert that rare causes of WMH should be considered.
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- 2023
15. Fronto-striatal alterations correlate with apathy severity in behavioral variant frontotemporal dementia
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Upadhyay, Neeraj, Spottke, Annika, Schneider, Anja, Hoffmann, Daniel C., Frommann, Ingo, Ballarini, Tommaso, Fliessbach, Klaus, Bender, Benjamin, Heekeren, Hauke R., Haynes, John Dylan, Ewers, Michael, Düzel, Emrah, Glanz, Wenzel, Dobisch, Laura, Buerger, Katharina, Janowitz, Daniel, Levin, Johannes, Danek, Adrian, Teipel, Stefan, Kilimann, Ingo, Synofzik, Matthis, Wilke, Carlo, Peters, Oliver, Preis, Lukas, Priller, Josef, Spruth, Eike Jakob, Jessen, Frank, and Boecker, Henning
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- 2024
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16. Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight
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Vogel, Jacob W., Corriveau-Lecavalier, Nick, Franzmeier, Nicolai, Pereira, Joana B., Brown, Jesse A., Maass, Anne, Botha, Hugo, Seeley, William W., Bassett, Dani S., Jones, David T., and Ewers, Michael
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- 2023
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17. Refinancing the Rentier State : Welfare, Inequality, and Citizen Preferences toward Fiscal Reform in the Gulf Oil Monarchies
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Gengler, Justin J., Shockley, Bethany, and Ewers, Michael C.
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- 2021
18. Tau deposition patterns are associated with functional connectivity in primary tauopathies
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Franzmeier, Nicolai, Brendel, Matthias, Beyer, Leonie, Slemann, Luna, Kovacs, Gabor G, Arzberger, Thomas, Kurz, Carolin, Respondek, Gesine, Lukic, Milica J, Biel, Davina, Rubinski, Anna, Frontzkowski, Lukas, Hummel, Selina, Müller, Andre, Finze, Anika, Palleis, Carla, Joseph, Emanuel, Weidinger, Endy, Katzdobler, Sabrina, Song, Mengmeng, Biechele, Gloria, Kern, Maike, Scheifele, Maximilian, Rauchmann, Boris-Stephan, Perneczky, Robert, Rullman, Michael, Patt, Marianne, Schildan, Andreas, Barthel, Henryk, Sabri, Osama, Rumpf, Jost J, Schroeter, Matthias L, Classen, Joseph, Villemagne, Victor, Seibyl, John, Stephens, Andrew W, Lee, Edward B, Coughlin, David G, Giese, Armin, Grossman, Murray, McMillan, Corey T, Gelpi, Ellen, Molina-Porcel, Laura, Compta, Yaroslau, van Swieten, John C, Laat, Laura Donker, Troakes, Claire, Al-Sarraj, Safa, Robinson, John L, Xie, Sharon X, Irwin, David J, Roeber, Sigrun, Herms, Jochen, Simons, Mikael, Bartenstein, Peter, Lee, Virginia M, Trojanowski, John Q, Levin, Johannes, Höglinger, Günter, and Ewers, Michael
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Biochemistry and Cell Biology ,Biological Sciences ,Acquired Cognitive Impairment ,Rare Diseases ,Brain Disorders ,Pick's Disease ,Alzheimer's Disease ,Dementia ,Frontotemporal Dementia (FTD) ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Aging ,Alzheimer's Disease Related Dementias (ADRD) ,Biomedical Imaging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Brain ,Humans ,Magnetic Resonance Imaging ,Supranuclear Palsy ,Progressive ,Tauopathies ,tau Proteins - Abstract
Tau pathology is the main driver of neuronal dysfunction in 4-repeat tauopathies, including cortico-basal degeneration and progressive supranuclear palsy. Tau is assumed to spread prion-like across connected neurons, but the mechanisms of tau propagation are largely elusive in 4-repeat tauopathies, characterized not only by neuronal but also by astroglial and oligodendroglial tau accumulation. Here, we assess whether connectivity is associated with 4R-tau deposition patterns by combining resting-state fMRI connectomics with both 2nd generation 18F-PI-2620 tau-PET in 46 patients with clinically diagnosed 4-repeat tauopathies and post-mortem cell-type-specific regional tau assessments from two independent progressive supranuclear palsy patient samples (n = 97 and n = 96). We find that inter-regional connectivity is associated with higher inter-regional correlation of both tau-PET and post-mortem tau levels in 4-repeat tauopathies. In regional cell-type specific post-mortem tau assessments, this association is stronger for neuronal than for astroglial or oligodendroglial tau, suggesting that connectivity is primarily associated with neuronal tau accumulation. Using tau-PET we find further that patient-level tau patterns are associated with the connectivity of subcortical tau epicenters. Together, the current study provides combined in vivo tau-PET and histopathological evidence that brain connectivity is associated with tau deposition patterns in 4-repeat tauopathies.
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- 2022
19. Fornix fractional anisotropy mediates the association between Mediterranean diet adherence and memory four years later in older adults without dementia
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Ruiz-Rizzo, Adriana L., Finke, Kathrin, Damoiseaux, Jessica S., Bartels, Claudia, Buerger, Katharina, Cosma, Nicoleta Carmen, Dechent, Peter, Dobisch, Laura, Ewers, Michael, Fliessbach, Klaus, Frommann, Ingo, Glanz, Wenzel, Goerss, Doreen, Hetzer, Stefan, Incesoy, Enise I., Janowitz, Daniel, Kilimann, Ingo, Laske, Christoph, van Lent, Debora Melo, Munk, Matthias H.J., Peters, Oliver, Priller, Josef, Ramirez, Alfredo, Rostamzadeh, Ayda, Roy, Nina, Scheffler, Klaus, Schneider, Anja, Spottke, Annika, Spruth, Eike Jakob, Teipel, Stefan, Wagner, Michael, Wiltfang, Jens, Yakupov, Renat, Jessen, Frank, Duezel, Emrah, Perneczky, Robert, and Rauchmann, Boris-Stephan
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- 2024
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20. Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
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Dyrba, Martin, Hanzig, Moritz, Altenstein, Slawek, Bader, Sebastian, Ballarini, Tommaso, Brosseron, Frederic, Buerger, Katharina, Cantré, Daniel, Dechent, Peter, Dobisch, Laura, Düzel, Emrah, Ewers, Michael, Fliessbach, Klaus, Glanz, Wenzel, Haynes, John-Dylan, Heneka, Michael T., Janowitz, Daniel, Keles, Deniz B., Kilimann, Ingo, Laske, Christoph, Maier, Franziska, Metzger, Coraline D., Munk, Matthias H., Perneczky, Robert, Peters, Oliver, Preis, Lukas, Priller, Josef, Rauchmann, Boris, Roy, Nina, Scheffler, Klaus, Schneider, Anja, Schott, Björn H., Spottke, Annika, Spruth, Eike J., Weber, Marc-André, Ertl-Wagner, Birgit, Wagner, Michael, Wiltfang, Jens, Jessen, Frank, and Teipel, Stefan J.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI) scans, they are not yet applied in clinical routine. One important reason for this is a lack of model comprehensibility. Recently developed visualization methods for deriving CNN relevance maps may help to fill this gap. We investigated whether models with higher accuracy also rely more on discriminative brain regions predefined by prior knowledge. Methods: We trained a CNN for the detection of AD in N=663 T1-weighted MRI scans of patients with dementia and amnestic mild cognitive impairment (MCI) and verified the accuracy of the models via cross-validation and in three independent samples including N=1655 cases. We evaluated the association of relevance scores and hippocampus volume to validate the clinical utility of this approach. To improve model comprehensibility, we implemented an interactive visualization of 3D CNN relevance maps. Results: Across three independent datasets, group separation showed high accuracy for AD dementia vs. controls (AUC$\geq$0.92) and moderate accuracy for MCI vs. controls (AUC$\approx$0.75). Relevance maps indicated that hippocampal atrophy was considered as the most informative factor for AD detection, with additional contributions from atrophy in other cortical and subcortical regions. Relevance scores within the hippocampus were highly correlated with hippocampal volumes (Pearson's r$\approx$-0.86, p<0.001). Conclusion: The relevance maps highlighted atrophy in regions that we had hypothesized a priori. This strengthens the comprehensibility of the CNN models, which were trained in a purely data-driven manner based on the scans and diagnosis labels., Comment: 24 pages, 9 figures/tables, supplementary material, source code available on GitHub
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- 2020
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21. Beyond vulnerability: contextualizing migrant worker views on rights and wellbeing in the Gulf Arab states
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Ewers, Michael, Diop, Abdoulaye, Duma, Nathan, and Le, Kien
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- 2023
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22. Serum IL-6, sAXL, and YKL-40 as systemic correlates of reduced brain structure and function in Alzheimer’s disease: results from the DELCODE study
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Brosseron, Frederic, Maass, Anne, Kleineidam, Luca, Ravichandran, Kishore Aravind, Kolbe, Carl-Christian, Wolfsgruber, Steffen, Santarelli, Francesco, Häsler, Lisa M., McManus, Róisín, Ising, Christina, Röske, Sandra, Peters, Oliver, Cosma, Nicoleta-Carmen, Schneider, Luisa-Sophie, Wang, Xiao, Priller, Josef, Spruth, Eike J., Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn H., Buerger, Katharina, Janowitz, Daniel, Dichgans, Martin, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Görß, Doreen, Laske, Christoph, Munk, Matthias H., Düzel, Emrah, Yakupow, Renat, Dobisch, Laura, Metzger, Coraline D., Glanz, Wenzel, Ewers, Michael, Dechent, Peter, Haynes, John Dylan, Scheffler, Klaus, Roy, Nina, Rostamzadeh, Ayda, Spottke, Annika, Ramirez, Alfredo, Mengel, David, Synofzik, Matthis, Jucker, Mathias, Latz, Eicke, Jessen, Frank, Wagner, Michael, and Heneka, Michael T.
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- 2023
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23. Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study
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Bernal, Jose, Schreiber, Stefanie, Menze, Inga, Ostendorf, Anna, Pfister, Malte, Geisendörfer, Jonas, Nemali, Aditya, Maass, Anne, Yakupov, Renat, Peters, Oliver, Preis, Lukas, Schneider, Luisa, Herrera, Ana Lucia, Priller, Josef, Spruth, Eike Jakob, Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn H., Rostamzadeh, Ayda, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Ewers, Michael, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Munk, Matthias H., Spottke, Annika, Roy, Nina, Dobisch, Laura, Dechent, Peter, Scheffler, Klaus, Hetzer, Stefan, Wolfsgruber, Steffen, Kleineidam, Luca, Schmid, Matthias, Berger, Moritz, Jessen, Frank, Wirth, Miranka, Düzel, Emrah, and Ziegler, Gabriel
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- 2023
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24. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
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de Rojas, Itziar, Moreno-Grau, Sonia, Tesi, Niccolo, Grenier-Boley, Benjamin, Andrade, Victor, Jansen, Iris E., Pedersen, Nancy L., Stringa, Najada, Zettergren, Anna, Hernández, Isabel, Montrreal, Laura, Antúnez, Carmen, Antonell, Anna, Tankard, Rick M., Bis, Joshua C., Sims, Rebecca, Bellenguez, Céline, Quintela, Inés, González-Perez, Antonio, Calero, Miguel, Franco-Macías, Emilio, Macías, Juan, Blesa, Rafael, Cervera-Carles, Laura, Menéndez-González, Manuel, Frank-García, Ana, Royo, Jose Luís, Moreno, Fermin, Huerto Vilas, Raquel, Baquero, Miquel, Diez-Fairen, Mónica, Lage, Carmen, García-Madrona, Sebastián, García-González, Pablo, Alarcón-Martín, Emilio, Valero, Sergi, Sotolongo-Grau, Oscar, Ullgren, Abbe, Naj, Adam C., Lemstra, Afina W., Benaque, Alba, Pérez-Cordón, Alba, Benussi, Alberto, Rábano, Alberto, Padovani, Alessandro, Squassina, Alessio, de Mendonça, Alexandre, Arias Pastor, Alfonso, Kok, Almar A. L., Meggy, Alun, Pastor, Ana Belén, Espinosa, Ana, Corma-Gómez, Anaïs, Martín Montes, Angel, Sanabria, Ángela, DeStefano, Anita L., Schneider, Anja, Haapasalo, Annakaisa, Kinhult Ståhlbom, Anne, Tybjærg-Hansen, Anne, Hartmann, Annette M., Spottke, Annika, Corbatón-Anchuelo, Arturo, Rongve, Arvid, Borroni, Barbara, Arosio, Beatrice, Nacmias, Benedetta, Nordestgaard, Børge G., Kunkle, Brian W., Charbonnier, Camille, Abdelnour, Carla, Masullo, Carlo, Martínez Rodríguez, Carmen, Muñoz-Fernandez, Carmen, Dufouil, Carole, Graff, Caroline, Ferreira, Catarina B., Chillotti, Caterina, Reynolds, Chandra A., Fenoglio, Chiara, Van Broeckhoven, Christine, Clark, Christopher, Pisanu, Claudia, Satizabal, Claudia L., Holmes, Clive, Buiza-Rueda, Dolores, Aarsland, Dag, Rujescu, Dan, Alcolea, Daniel, Galimberti, Daniela, Wallon, David, Seripa, Davide, Grünblatt, Edna, Dardiotis, Efthimios, Düzel, Emrah, Scarpini, Elio, Conti, Elisa, Rubino, Elisa, Gelpi, Ellen, Rodriguez-Rodriguez, Eloy, Duron, Emmanuelle, Boerwinkle, Eric, Ferri, Evelyn, Tagliavini, Fabrizio, Küçükali, Fahri, Pasquier, Florence, Sanchez-Garcia, Florentino, Mangialasche, Francesca, Jessen, Frank, Nicolas, Gaël, Selbæk, Geir, Ortega, Gemma, Chêne, Geneviève, Hadjigeorgiou, Georgios, Rossi, Giacomina, Spalletta, Gianfranco, Giaccone, Giorgio, Grande, Giulia, Binetti, Giuliano, Papenberg, Goran, Hampel, Harald, Bailly, Henri, Zetterberg, Henrik, Soininen, Hilkka, Karlsson, Ida K., Alvarez, Ignacio, Appollonio, Ildebrando, Giegling, Ina, Skoog, Ingmar, Saltvedt, Ingvild, Rainero, Innocenzo, Rosas Allende, Irene, Hort, Jakub, Diehl-Schmid, Janine, Van Dongen, Jasper, Vidal, Jean-Sebastien, Lehtisalo, Jenni, Wiltfang, Jens, Thomassen, Jesper Qvist, Kornhuber, Johannes, Haines, Jonathan L., Vogelgsang, Jonathan, Pineda, Juan A., Fortea, Juan, Popp, Julius, Deckert, Jürgen, Buerger, Katharina, Morgan, Kevin, Fließbach, Klaus, Sleegers, Kristel, Molina-Porcel, Laura, Kilander, Lena, Weinhold, Leonie, Farrer, Lindsay A., Wang, Li-San, Kleineidam, Luca, Farotti, Lucia, Parnetti, Lucilla, Tremolizzo, Lucio, Hausner, Lucrezia, Benussi, Luisa, Froelich, Lutz, Ikram, M. Arfan, Deniz-Naranjo, M. Candida, Tsolaki, Magda, Rosende-Roca, Maitée, Löwenmark, Malin, Hulsman, Marc, Spallazzi, Marco, Pericak-Vance, Margaret A., Esiri, Margaret, Bernal Sánchez-Arjona, María, Dalmasso, Maria Carolina, Martínez-Larrad, María Teresa, Arcaro, Marina, Nöthen, Markus M., Fernández-Fuertes, Marta, Dichgans, Martin, Ingelsson, Martin, Herrmann, Martin J., Scherer, Martin, Vyhnalek, Martin, Kosmidis, Mary H., Yannakoulia, Mary, Schmid, Matthias, Ewers, Michael, Heneka, Michael T., Wagner, Michael, Scamosci, Michela, Kivipelto, Miia, Hiltunen, Mikko, Zulaica, Miren, Alegret, Montserrat, Fornage, Myriam, Roberto, Natalia, van Schoor, Natasja M., Seidu, Nazib M., Banaj, Nerisa, Armstrong, Nicola J., Scarmeas, Nikolaos, Scherbaum, Norbert, Goldhardt, Oliver, Hanon, Oliver, Peters, Oliver, Skrobot, Olivia Anna, Quenez, Olivier, Lerch, Ondrej, Bossù, Paola, Caffarra, Paolo, Dionigi Rossi, Paolo, Sakka, Paraskevi, Mecocci, Patrizia, Hoffmann, Per, Holmans, Peter A., Fischer, Peter, Riederer, Peter, Yang, Qiong, Marshall, Rachel, Kalaria, Rajesh N., Mayeux, Richard, Vandenberghe, Rik, Cecchetti, Roberta, Ghidoni, Roberta, Frikke-Schmidt, Ruth, Sorbi, Sandro, Hägg, Sara, Engelborghs, Sebastiaan, Helisalmi, Seppo, Botne Sando, Sigrid, Kern, Silke, Archetti, Silvana, Boschi, Silvia, Fostinelli, Silvia, Gil, Silvia, Mendoza, Silvia, Mead, Simon, Ciccone, Simona, Djurovic, Srdjan, Heilmann-Heimbach, Stefanie, Riedel-Heller, Steffi, Kuulasmaa, Teemu, del Ser, Teodoro, Lebouvier, Thibaud, Polak, Thomas, Ngandu, Tiia, Grimmer, Timo, Bessi, Valentina, Escott-Price, Valentina, Giedraitis, Vilmantas, Deramecourt, Vincent, Maier, Wolfgang, Jian, Xueqiu, Pijnenburg, Yolande A. L., Kehoe, Patrick Gavin, Garcia-Ribas, Guillermo, Sánchez-Juan, Pascual, Pastor, Pau, Pérez-Tur, Jordi, Piñol-Ripoll, Gerard, Lopez de Munain, Adolfo, García-Alberca, Jose María, Bullido, María J., Álvarez, Victoria, Lleó, Alberto, Real, Luis M., Mir, Pablo, Medina, Miguel, Scheltens, Philip, Holstege, Henne, Marquié, Marta, Sáez, María Eugenia, Carracedo, Ángel, Amouyel, Philippe, Schellenberg, Gerard D., Williams, Julie, Seshadri, Sudha, van Duijn, Cornelia M., Mather, Karen A., Sánchez-Valle, Raquel, Serrano-Ríos, Manuel, Orellana, Adelina, Tárraga, Lluís, Blennow, Kaj, Huisman, Martijn, Andreassen, Ole A., Posthuma, Danielle, Clarimón, Jordi, Boada, Mercè, van der Flier, Wiesje M., Ramirez, Alfredo, Lambert, Jean-Charles, van der Lee, Sven J., and Ruiz, Agustín
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- 2023
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25. Exploring the ATN classification system using brain morphology
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Heinzinger, Nils, Maass, Anne, Berron, David, Yakupov, Renat, Peters, Oliver, Fiebach, Jochen, Villringer, Kersten, Preis, Lukas, Priller, Josef, Spruth, Eike Jacob, Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Bartels, Claudia, Jessen, Frank, Maier, Franziska, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Killimann, Ingo, Göerß, Doreen, Laske, Christoph, Munk, Matthias H., Spottke, Annika, Roy, Nina, Heneka, Michael T., Brosseron, Frederic, Dobisch, Laura, Ewers, Michael, Dechent, Peter, Haynes, John Dylan, Scheffler, Klaus, Wolfsgruber, Steffen, Kleineidam, Luca, Schmid, Matthias, Berger, Moritz, Düzel, Emrah, and Ziegler, Gabriel
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- 2023
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26. Brain reserve contributes to distinguishing preclinical Alzheimer’s stages 1 and 2
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Yildirim, Zerrin, Delen, Firuze, Berron, David, Baumeister, Hannah, Ziegler, Gabriel, Schütze, Hartmut, Glanz, Wenzel, Dobisch, Laura, Peters, Oliver, Freiesleben, Silka Dawn, Schneider, Luisa-Sophie, Priller, Josef, Spruth, Eike Jakob, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn-Hendrik, Meiberth, Dix, Buerger, Katharina, Janowitz, Daniel, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Munk, Matthias H., Spottke, Annika, Roy, Nina, Heneka, Michael, Brosseron, Frederic, Wagner, Michael, Roeske, Sandra, Ramirez, Alfredo, Ewers, Michael, Dechent, Peter, Hetzer, Stefan, Scheffler, Klaus, Kleineidam, Luca, Wolfsgruber, Steffen, Yakupov, Renat, Schmid, Matthias, Berger, Moritz, Gurvit, Hakan, Jessen, Frank, and Duzel, Emrah
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- 2023
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27. Schulgesundheitspflege und ihre Rolle bei der Förderung von Gesundheitskompetenz im Setting Schule – Erfahrungen aus der modellhaften Erprobung
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Ewers, Michael, Rathmann, Katharina, editor, Dadaczynski, Kevin, editor, Okan, Orkan, editor, and Messer, Melanie, editor
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- 2023
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28. Aus- und Weiterbildung geregelter Gesundheitsberufe in Europa – eine Betrachtung aus international vergleichender Perspektive
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Ewers, Michael, Lehmann, Yvonne, Darmann-Finck, Ingrid, editor, and Sahmel, Karl-Heinz, editor
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- 2023
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29. Tau-network mapping of domain-specific cognitive impairment in Alzheimer’s disease
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Luan, Ying, Rubinski, Anna, Biel, Davina, Otero Svaldi, Diana, Alonzo Higgins, Ixavier, Shcherbinin, Sergey, Pontecorvo, Michael, Franzmeier, Nicolai, and Ewers, Michael
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- 2024
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30. Lower cerebral perfusion is associated with tau-PET in the entorhinal cortex across the Alzheimer's continuum
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Rubinski, Anna, Tosun, Duygu, Franzmeier, Nicolai, Neitzel, Julia, Frontzkowski, Lukas, Weiner, Michael, and Ewers, Michael
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Biological Psychology ,Biomedical and Clinical Sciences ,Neurosciences ,Psychology ,Cerebrovascular ,Biomedical Imaging ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Neurodegenerative ,Alzheimer's Disease Related Dementias (ADRD) ,Brain Disorders ,Acquired Cognitive Impairment ,Alzheimer's Disease ,Aging ,Clinical Research ,Vascular Cognitive Impairment/Dementia ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Apolipoproteins E ,Cerebrovascular Circulation ,Entorhinal Cortex ,Female ,Genotype ,Humans ,Male ,Positron-Emission Tomography ,tau Proteins ,Tau-PET ,Amyloid-PET ,Arterial Spin Labeling ,Cerebral Blood Flow ,Clinical Sciences ,Neurology & Neurosurgery ,Biological psychology - Abstract
Alzheimer's disease (AD) is associated with reduced temporo-parietal cerebral blood flow (CBF). However, a substantial variability in CBF across the clinical spectrum of AD has been reported, possibly due to differences in primary AD pathologies. Here, we assessed CBF (ASL-MRI), tau (AV1451-PET) and amyloid (AV45/FBB-PET) in 156 subjects across the AD continuum. Using mixed-effect regression analyses, we assessed the local associations between amyloid-PET, tau-PET and CBF in a hypothesis-driven way focusing on each pathology's predilection areas. The contribution of Apolipoprotein E (APOE) genotype, and MRI markers of small vessel disease (SVD) to alterations in CBF were assessed as well. Tau-PET was associated with lower CBF in the entorhinal cortex, independent of Aβ. Amyloid-PET was associated with lower CBF in temporo-parietal regions. No associations between MRI markers of SVD and CBF were observed. These results provide evidence that in addition to Aβ, pathologic tau is a major correlate of CBF in early Braak stages, independent of Aβ, APOE genotype and SVD markers.
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- 2021
31. KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease
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Neitzel, Julia, Franzmeier, Nicolai, Rubinski, Anna, Dichgans, Martin, Brendel, Matthias, Malik, Rainer, and Ewers, Michael
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Psychology ,Biochemistry and Cell Biology ,Biological Sciences ,Neurodegenerative ,Neurosciences ,Clinical Research ,Dementia ,Aging ,Alzheimer's Disease ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Genetics ,Biomedical Imaging ,Brain Disorders ,Acquired Cognitive Impairment ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Alzheimer Disease ,Amyloid beta-Peptides ,Apolipoproteins E ,Brain ,Female ,Gene Expression ,Glucuronidase ,Heterozygote ,Humans ,Klotho Proteins ,Male ,Memory Disorders ,Middle Aged ,Polymorphism ,Single Nucleotide ,Positron-Emission Tomography ,Protein Binding ,tau Proteins ,Alzheimer’s Disease Neuroimaging Initiative - Abstract
Klotho-VS heterozygosity (KL-VShet) is associated with reduced risk of Alzheimer's disease (AD). However, whether KL-VShet is associated with lower levels of pathologic tau, i.e., the key AD pathology driving neurodegeneration and cognitive decline, is unknown. Here, we assessed the interaction between KL-VShet and levels of beta-amyloid, a key driver of tau pathology, on the levels of PET-assessed neurofibrillary tau in 551 controls and patients across the AD continuum. KL-VShet showed lower cross-sectional and longitudinal increase in tau-PET per unit increase in amyloid-PET when compared to that of non-carriers. This association of KL-VShet on tau-PET was stronger in Klotho mRNA-expressing brain regions mapped onto a gene expression atlas. KL-VShet was related to better memory functions in amyloid-positive participants and this association was mediated by lower tau-PET. Amyloid-PET levels did not differ between KL-VShet carriers versus non-carriers. Together, our findings provide evidence to suggest a protective role of KL-VShet against amyloid-related tau pathology and tau-related memory impairments in elderly humans at risk of AD dementia.
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- 2021
32. Higher CSF sTREM2 attenuates ApoE4-related risk for cognitive decline and neurodegeneration
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Franzmeier, Nicolai, Suárez-Calvet, M, Frontzkowski, Lukas, Moore, Annah, Hohman, Timothy J, Morenas-Rodriguez, Estrella, Nuscher, Brigitte, Shaw, Leslie, Trojanowski, John Q, Dichgans, Martin, Kleinberger, Gernot, Haass, Christian, and Ewers, Michael
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Biochemistry and Cell Biology ,Biological Sciences ,Neurodegenerative ,Dementia ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Neurosciences ,Brain Disorders ,Acquired Cognitive Impairment ,Aging ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Apolipoprotein E4 ,Cognitive Dysfunction ,Female ,Genetic Predisposition to Disease ,Humans ,Male ,Membrane Glycoproteins ,Nerve Degeneration ,Receptors ,Immunologic ,Alzheimer's disease ,ApoE4 ,Microglial activation ,sTREM2 ,Cognitive decline ,Neurodegeneration ,Alzheimer’s Disease Neuroimaging Initiative ,Alzheimer’s disease ,Genetics ,Clinical Sciences ,Neurology & Neurosurgery ,Biochemistry and cell biology - Abstract
BackgroundThe Apolipoprotein E ε4 allele (i.e. ApoE4) is the strongest genetic risk factor for sporadic Alzheimer's disease (AD). TREM2 (i.e. Triggering receptor expressed on myeloid cells 2) is a microglial transmembrane protein brain that plays a central role in microglia activation in response to AD brain pathologies. Whether higher TREM2-related microglia activity modulates the risk to develop clinical AD is an open question. Thus, the aim of the current study was to assess whether higher sTREM2 attenuates the effects of ApoE4-effects on future cognitive decline and neurodegeneration.MethodsWe included 708 subjects ranging from cognitively normal (CN, n = 221) to mild cognitive impairment (MCI, n = 414) and AD dementia (n = 73) from the Alzheimer's disease Neuroimaging Initiative. We used linear regression to test the interaction between ApoE4-carriage by CSF-assessed sTREM2 levels as a predictor of longitudinally assessed cognitive decline and MRI-assessed changes in hippocampal volume changes (mean follow-up of 4 years, range of 1.7-7 years).ResultsAcross the entire sample, we found that higher CSF sTREM2 at baseline was associated with attenuated effects of ApoE4-carriage (i.e. sTREM2 x ApoE4 interaction) on longitudinal global cognitive (p = 0.001, Cohen's f2 = 0.137) and memory decline (p = 0.006, Cohen's f2 = 0.104) as well as longitudinally assessed hippocampal atrophy (p = 0.046, Cohen's f2 = 0.089), independent of CSF markers of primary AD pathology (i.e. Aβ1-42, p-tau181). While overall effects of sTREM2 were small, exploratory subanalyses stratified by diagnostic groups showed that beneficial effects of sTREM2 were pronounced in the MCI group.ConclusionOur results suggest that a higher CSF sTREM2 levels are associated with attenuated ApoE4-related risk for future cognitive decline and AD-typical neurodegeneration. These findings provide further evidence that TREM2 may be protective against the development of AD.
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- 2020
33. Neuroimaging standards for research into small vessel disease—advances since 2013
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Duering, Marco, Biessels, Geert Jan, Brodtmann, Amy, Chen, Christopher, Cordonnier, Charlotte, de Leeuw, Frank-Erik, Debette, Stéphanie, Frayne, Richard, Jouvent, Eric, Rost, Natalia S, ter Telgte, Annemieke, Al-Shahi Salman, Rustam, Backes, Walter H, Bae, Hee-Joon, Brown, Rosalind, Chabriat, Hugues, De Luca, Alberto, deCarli, Charles, Dewenter, Anna, Doubal, Fergus N, Ewers, Michael, Field, Thalia S, Ganesh, Aravind, Greenberg, Steven, Helmer, Karl G, Hilal, Saima, Jochems, Angela C C, Jokinen, Hanna, Kuijf, Hugo, Lam, Bonnie Y K, Lebenberg, Jessica, MacIntosh, Bradley J, Maillard, Pauline, Mok, Vincent C T, Pantoni, Leonardo, Rudilosso, Salvatore, Satizabal, Claudia L, Schirmer, Markus D, Schmidt, Reinhold, Smith, Colin, Staals, Julie, Thrippleton, Michael J, van Veluw, Susanne J, Vemuri, Prashanthi, Wang, Yilong, Werring, David, Zedde, Marialuisa, Akinyemi, Rufus O, Del Brutto, Oscar H, Markus, Hugh S, Zhu, Yi-Cheng, Smith, Eric E, Dichgans, Martin, and Wardlaw, Joanna M
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- 2023
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34. Infrastructure- and workforce capacity for the provision of health care to people with invasive home mechanical ventilation: A scoping review of indicators and norms
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Stark, Susanne and Ewers, Michael
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- 2023
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35. Linking early-life bilingualism and cognitive advantage in older adulthood
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Ballarini, Tommaso, Kuhn, Elizabeth, Röske, Sandra, Altenstein, Slawek, Bartels, Claudia, Buchholz, Friederike, Buerger, Katharina, Dechent, Peter, Dobisch, Laura, Ewers, Michael, Fliessbach, Klaus, Freiesleben, Silka Dawn, Frommann, Ingo, Gabelin, Tatjana, Glanz, Wenzel, Görß, Doreen, Haynes, John Dylan, Incesoy, Enise I., Janowitz, Daniel, Kilimann, Ingo, Kleineidam, Luca, Kobeleva, Xenia, Laske, Christoph, Lohse, Andrea, Maier, Franziska, Munk, Matthias H., Perneczky, Robert, Peters, Oliver, Priller, Josef, Rauchmann, Boris-Stephan, Roy, Nina, Scheffler, Klaus, Schneider, Anja, Schott, Björn H., Spottke, Annika, Spruth, Eike Jakob, Teipel, Stefan, Wiltfang, Jens, Wolfsgruber, Steffen, Düzel, Emrah, Jessen, Frank, and Wagner, Michael
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- 2023
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36. New spaces of inequality with the rise of remote work: Autonomy, technostress, and life disruption
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Ewers, Michael and Kangmennaang, Joseph
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- 2023
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37. Lifelong experiences as a proxy of cognitive reserve moderate the association between connectivity and cognition in Alzheimer's disease
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Ersoezlue, Ersin, Rauchmann, Boris-Stephan, Schneider-Axmann, Thomas, Wagner, Michael, Ballarini, Tommaso, Tato, Maia, Utecht, Julia, Kurz, Carolin, Papazov, Boris, Guersel, Selim, Burow, Lena, Koller, Gabriele, Stöcklein, Sophia, Keeser, Daniel, Bartels, Claudia, Brosseron, Frederic, Buerger, Katharina, Cetindag, Arda C., Dechent, Peter, Dobisch, Laura, Ewers, Michael, Fliessbach, Klaus, Frommann, Ingo, Haynes, John D., Heneka, Michael T., Janowitz, Daniel, Kilimann, Ingo, Kleinedam, Luca, Laske, Christoph, Maier, Franziska, Metzger, Coraline D., Munk, Matthias H., Peters, Oliver, Preis, Lukas, Priller, Josef, Ramirez, Alfredo, Roeske, Sandra, Roy, Nina, Scheffler, Klaus, Schneider, Anja, Spottke, Annika, Spruth, Eike J., Teipel, Stefan, Wiltfang, Jens, Wolfsgruber, Steffen, Yakupov, Renat, Duezel, Emrah, Jessen, Frank, and Perneczky, Robert
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- 2023
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38. Schulgesundheitspflege und ihre Rolle bei der Förderung von Gesundheitskompetenz im Setting Schule – Erfahrungen aus der modellhaften Erprobung
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Ewers, Michael, primary
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- 2023
- Full Text
- View/download PDF
39. Aus- und Weiterbildung geregelter Gesundheitsberufe in Europa – eine Betrachtung aus international vergleichender Perspektive
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Ewers, Michael, primary and Lehmann, Yvonne, additional
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- 2023
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40. Functional brain architecture is associated with the rate of tau accumulation in Alzheimer's disease.
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Franzmeier, Nicolai, Neitzel, Julia, Rubinski, Anna, Smith, Ruben, Strandberg, Olof, Ossenkoppele, Rik, Hansson, Oskar, Ewers, Michael, and Alzheimer’s Disease Neuroimaging Initiative (ADNI)
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Alzheimer’s Disease Neuroimaging Initiative ,Brain ,Humans ,Alzheimer Disease ,Amyloid ,tau Proteins ,Positron-Emission Tomography ,Magnetic Resonance Imaging ,Cross-Sectional Studies ,Aged ,Aged ,80 and over ,Female ,Male ,Biomarkers ,Cognitive Dysfunction ,and over - Abstract
In Alzheimer's diseases (AD), tau pathology is strongly associated with cognitive decline. Preclinical evidence suggests that tau spreads across connected neurons in an activity-dependent manner. Supporting this, cross-sectional AD studies show that tau deposition patterns resemble functional brain networks. However, whether higher functional connectivity is associated with higher rates of tau accumulation is unclear. Here, we combine resting-state fMRI with longitudinal tau-PET in two independent samples including 53 (ADNI) and 41 (BioFINDER) amyloid-biomarker defined AD subjects and 28 (ADNI) vs. 16 (BioFINDER) amyloid-negative healthy controls. In both samples, AD subjects show faster tau accumulation than controls. Second, in AD, higher fMRI-assessed connectivity between 400 regions of interest (ROIs) is associated with correlated tau-PET accumulation in corresponding ROIs. Third, we show that a model including baseline connectivity and tau-PET is associated with future tau-PET accumulation. Together, connectivity is associated with tau spread in AD, supporting the view of transneuronal tau propagation.
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- 2020
41. Early increase of CSF sTREM2 in Alzheimer’s disease is associated with tau related-neurodegeneration but not with amyloid-β pathology
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Suárez-Calvet, Marc, Morenas-Rodríguez, Estrella, Kleinberger, Gernot, Schlepckow, Kai, Araque Caballero, Miguel Ángel, Franzmeier, Nicolai, Capell, Anja, Fellerer, Katrin, Nuscher, Brigitte, Eren, Erden, Levin, Johannes, Deming, Yuetiva, Piccio, Laura, Karch, Celeste M, Cruchaga, Carlos, Shaw, Leslie M, Trojanowski, John Q, Weiner, Michael, Ewers, Michael, and Haass, Christian
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Biochemistry and Cell Biology ,Biological Sciences ,Genetics ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Brain Disorders ,Acquired Cognitive Impairment ,Neurosciences ,Dementia ,Alzheimer's Disease ,Aging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Amyloid beta-Peptides ,Biomarkers ,Cross-Sectional Studies ,Female ,Humans ,Male ,Membrane Glycoproteins ,Middle Aged ,Nerve Degeneration ,Receptors ,Immunologic ,tau Proteins ,Alzheimer's disease ,Microglia ,Neurodegeneration ,Neuroinflammation ,Shedding ,TREM2 ,Alzheimer’s Disease Neuroimaging Initiative ,Alzheimer’s disease ,Clinical Sciences ,Neurology & Neurosurgery ,Biochemistry and cell biology - Abstract
BackgroundTREM2 is a transmembrane receptor that is predominantly expressed by microglia in the central nervous system. Rare variants in the TREM2 gene increase the risk for late-onset Alzheimer's disease (AD). Soluble TREM2 (sTREM2) resulting from shedding of the TREM2 ectodomain can be detected in the cerebrospinal fluid (CSF) and is a surrogate measure of TREM2-mediated microglia function. CSF sTREM2 has been previously reported to increase at different clinical stages of AD, however, alterations in relation to Amyloid β-peptide (Aβ) deposition or additional pathological processes in the amyloid cascade (such as tau pathology or neurodegeneration) remain unclear. In the current cross-sectional study, we employed the biomarker-based classification framework recently proposed by the NIA-AA consensus guidelines, in combination with clinical staging, in order to examine the CSF sTREM2 alterations at early asymptomatic and symptomatic stages of AD.MethodsA cross-sectional study of 1027 participants of the Alzheimer's Disease Imaging Initiative (ADNI) cohort, including 43 subjects carrying TREM2 rare genetic variants, was conducted to measure CSF sTREM2 using a previously validated enzyme-linked immunosorbent assay (ELISA). ADNI participants were classified following the A/T/N framework, which we implemented based on the CSF levels of Aβ1-42 (A), phosphorylated tau (T) and total tau as a marker of neurodegeneration (N), at different clinical stages defined by the clinical dementia rating (CDR) score.ResultsCSF sTREM2 differed between TREM2 variants, whereas the p.R47H variant had higher CSF sTREM2, p.L211P had lower CSF sTREM2 than non-carriers. We found that CSF sTREM2 increased in early symptomatic stages of late-onset AD but, unexpectedly, we observed decreased CSF sTREM2 levels at the earliest asymptomatic phase when only abnormal Aβ pathology (A+) but no tau pathology or neurodegeneration (TN-), is present.ConclusionsAβ pathology (A) and tau pathology/neurodegeneration (TN) have differing associations with CSF sTREM2. While tau-related neurodegeneration is associated with an increase in CSF sTREM2, Aβ pathology in the absence of downstream tau-related neurodegeneration is associated with a decrease in CSF sTREM2.
- Published
- 2019
42. Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer’s disease
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Ewers, Michael, Franzmeier, Nicolai, Suárez-Calvet, Marc, Morenas-Rodriguez, Estrella, Caballero, Miguel Angel Araque, Kleinberger, Gernot, Piccio, Laura, Cruchaga, Carlos, Deming, Yuetiva, Dichgans, Martin, Trojanowski, John Q, Shaw, Leslie M, Weiner, Michael W, Haass, Christian, and Initiative, Alzheimer’s Disease Neuroimaging
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Medical Biotechnology ,Engineering ,Biomedical and Clinical Sciences ,Biomedical Engineering ,Cerebrovascular ,Acquired Cognitive Impairment ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aging ,Alzheimer's Disease ,Neurodegenerative ,Brain Disorders ,Dementia ,Neurosciences ,2.1 Biological and endogenous factors ,Neurological ,Alzheimer Disease ,Amyloid beta-Peptides ,Cognition ,Cross-Sectional Studies ,Humans ,Membrane Glycoproteins ,Neuropsychological Tests ,Receptors ,Immunologic ,tau Proteins ,Alzheimer’s Disease Neuroimaging Initiative ,Biological Sciences ,Medical and Health Sciences ,Medical biotechnology ,Biomedical engineering - Abstract
Loss of function of TREM2, a key receptor selectively expressed by microglia in the brain, contributes to the development of Alzheimer's disease (AD). We therefore examined whether soluble TREM2 (sTREM2) concentrations in cerebrospinal fluid (CSF) were associated with reduced rates of cognitive decline and clinical progression in subjects with AD or mild cognitive impairment (MCI). We measured sTREM2 in CSF samples from 385 elderly subjects, including cognitively normal controls, individuals with MCI, and subjects with AD dementia (follow-up period: mean, 4 years; range 1.5 to 11.5 years). In subjects with AD defined by evidence of CSF Aβ1-42 (amyloid β-peptide 1 to 42; A+) and CSF p-tau181 (tau phosphorylated on amino acid residue 181; T+), higher sTREM2 concentrations in CSF at baseline were associated with attenuated decline in memory and cognition. When analyzed in clinical subgroups, an association between higher CSF sTREM2 concentrations and subsequent reduced memory decline was consistently observed in individuals with MCI or AD dementia, who were positive for CSF Aβ1-42 and CSF p-tau181 (A+T+). Regarding clinical progression, a higher ratio of CSF sTREM2 to CSF p-tau181 concentrations predicted slower conversion from cognitively normal to symptomatic stages or from MCI to AD dementia in the subjects who were positive for CSF Aβ1-42 and CSF p-tau181. These results suggest that sTREM2 is associated with attenuated cognitive and clinical decline, a finding with important implications for future clinical trials targeting the innate immune response in AD.
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- 2019
43. The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory.
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Franzmeier, Nicolai, Rubinski, Anna, Neitzel, Julia, Ewers, Michael, and Alzheimer’s Disease Neuroimaging Initiative (ADNI)
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Alzheimer’s Disease Neuroimaging Initiative ,Brain ,Cytoskeleton ,Humans ,Alzheimer Disease ,Adaptor Proteins ,Signal Transducing ,tau Proteins ,Tumor Suppressor Proteins ,Nuclear Proteins ,Positron-Emission Tomography ,Magnetic Resonance Imaging ,Risk Factors ,Cognition ,Memory ,Endocytosis ,Polymorphism ,Single Nucleotide ,Alleles ,Aged ,Aged ,80 and over ,Female ,Male ,Genetic Variation ,Adaptor Proteins ,Signal Transducing ,Polymorphism ,Single Nucleotide ,and over ,Alzheimer's Disease including Alzheimer's Disease Related Dementias ,Aging ,Acquired Cognitive Impairment ,Dementia ,Brain Disorders ,Genetics ,Biomedical Imaging ,Neurosciences ,Alzheimer's Disease ,Neurodegenerative ,2.1 Biological and endogenous factors ,Neurological ,MD Multidisciplinary - Abstract
The single nucleotide polymorphism (SNP) rs744373 in the bridging integrator-1 gene (BIN1) is a risk factor for Alzheimer's disease (AD). In the brain, BIN1 is involved in endocytosis and sustaining cytoskeleton integrity. Post-mortem and in vitro studies suggest that BIN1-associated AD risk is mediated by increased tau pathology but whether rs744373 is associated with increased tau pathology in vivo is unknown. Here we find in 89 older individuals without dementia, that BIN1 rs744373 risk-allele carriers show higher AV1451 tau-PET across brain regions corresponding to Braak stages II-VI. In contrast, the BIN1 rs744373 SNP was not associated with AV45 amyloid-PET uptake. Furthermore, the rs744373 risk-allele was associated with worse memory performance, mediated by increased global tau levels. Together, our findings suggest that the BIN1 rs744373 SNP is associated with increased tau but not beta-amyloid pathology, suggesting that alterations in BIN1 may contribute to memory deficits via increased tau pathology.
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- 2019
44. Will peak talent arrive before peak oil or peak demand?: Exploring whether career choices of highly skilled workers will accelerate the transition to renewable energy
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Brannstrom, Christian, Ewers, Michael, and Schwarz, Peter
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- 2022
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45. Mit Pflegestudium in die Langzeitpflege?!
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Lehmann, Yvonne and Ewers, Michael
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- 2022
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46. Amyloid-associated hyperconnectivity drives tau spread across connected brain regions in Alzheimer's disease.
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Roemer-Cassiano, Sebastian N., Wagner, Fabian, Evangelista, Lisa, Rauchmann, Boris-Stephan, Dehsarvi, Amir, Steward, Anna, Dewenter, Anna, Biel, Davina, Zhu, Zeyu, Pescoller, Julia, Gross, Mattes, Perneczky, Robert, Malpetti, Maura, Ewers, Michael, Schöll, Michael, Dichgans, Martin, Höglinger, Günter U., Brendel, Matthias, Jäkel, Sarah, and Franzmeier, Nicolai
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FUNCTIONAL magnetic resonance imaging ,POSITRON emission tomography ,ALZHEIMER'S disease ,TAU proteins ,TEMPORAL lobe ,NEUROFIBRILLARY tangles - Abstract
In Alzheimer's disease (AD), amyloid-β (Aβ) triggers the aggregation and spreading of tau pathology, which drives neurodegeneration and cognitive decline. However, the pathophysiological link between Aβ and tau remains unclear, which hinders therapeutic efforts to attenuate Aβ-related tau accumulation. Aβ has been found to trigger neuronal hyperactivity and hyperconnectivity, and preclinical research has shown that tau spreads across connected neurons in an activity-dependent manner. Here, we hypothesized that neuronal hyperactivity and hypersynchronicity, resulting in functional connectivity increases, constitute a crucial mechanism by which Aβ facilitates the spreading of tau pathology. By combining Aβ positron emission tomography (PET), resting-state functional magnetic resonance imaging, and longitudinal tau-PET in 69 cognitively normal amyloid-negative controls and 140 amyloid-positive patients covering the AD spectrum, we confirmed that Aβ induces hyperconnectivity of temporal lobe tau epicenters to posterior brain regions that are vulnerable to tau accumulation in AD. This was replicated in an independent sample of 55 controls and 345 individuals with preclinical AD and low cortical tau-PET uptake, suggesting that the emergence of Aβ-related hyperconnectivity precedes neocortical tau spreading. Last, using longitudinal tau-PET and mediation analysis, we confirmed that these Aβ-related connectivity increases in tau epicenters to typical tau-vulnerable brain regions in AD mediated the effect of Aβ on faster tau accumulation, unveiling increased connectivity as a potential causal link between the two AD hallmark pathologies. Together, these findings suggest that Aβ promotes tau spreading by eliciting neuronal hyperconnectivity and that targeting Aβ-related neuronal hyperconnectivity may attenuate tau spreading in AD. Editor's summary: The "amyloid cascade model" of Alzheimer's disease suggests that plaques of amyloid-β (Aβ) precede and trigger other pathological changes such as the spread of abnormal tau protein. How amyloid pathology influences tau pathology remains incompletely understood. Here, Roemer-Cassiano et al. analyzed Aβ positron emission tomography (PET), functional magnetic resonance imaging, and tau-PET data from the Alzheimer's Disease Neuroimaging Initiative and show that the spread of tau is in part mediated by Aβ-related increases in connectivity between tau epicenters and brain regions that are vulnerable to tau accumulation. These results highlight an intricate connection between amyloid and tau pathology. —Daniela Neuhofer [ABSTRACT FROM AUTHOR]
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- 2025
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47. The association between the age and the rate of tau accumulation and spreading in different sexes.
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Zhu, Zeyu, Dehsarvi, Amir, Roemer, Sebastian Niclas, Steward, Anna, Dewenter, Anna, Gross, Mattes, Wagner, Fabian, Ewers, Michael, Brendel, Matthias, and Franzmeier, Nicolai
- Abstract
Background: Neuroimaging studies have revealed age and sex‐specific differences in Alzheimer's disease (AD) trajectories. However, how age and sex modulate tau spreading remains unclear. Thus, we investigated how age and sex modulate the amyloid‐beta (Aβ)‐induced accumulation and spreading of tau pathology from local epicenters across connected brain regions. Method: We included 313 ADNI participants (female/male, n = 167/146), i.e. 110 cognitively normal (CN) Aβ‐negative, and 203 Aβ‐positive subjects across the AD spectrum (i.e. CN/MCI/Dementia, n = 98/70/35) with baseline amyloid‐PET and longitudinal Flortaucipir tau‐PET. Annual tau‐PET change rates for 200 cortical regions of the Schaefer atlas were calculated. Sex‐specific resting‐state fMRI‐connectivity templates across the 200 Schaefer regions were determined in independent Aβ‐negative controls (female/male, n = 118/82) to determine the connectivity of tau epicenters to the rest of the brain. Using linear regression, we investigated interactions between age, sex and Aβ on tau accumulation and spread, controlling for APOE4‐status and diagnosis. Result: Higher Aβ (i.e. centiloid) predicted faster tau accumulation, where this association was pronounced in younger individuals (i.e. age x centiloid interaction, b = ‐3.64, p<0.001, Fig. 1A). This age x centiloid interaction was stronger in men (b = ‐4.82, p<0.001, Fig. 1B) vs. women (b = ‐1.67, p = 0.029, Fig. 1C), suggesting that younger age promotes Aβ‐related tau accumulation predominantly in men. Bootstrapping analysis further confirmed this effect (Fig. 1D). In Aβ+, epicenters with highest baseline tau‐PET showed a similar temporal‐lobe distribution in men and women (Fig. 2A&B), yet epicenter connectivity to the rest of the brain was stronger in men vs. women (Fig. 2C). Stronger connectivity of tau epicenters to the rest of the brain was linked to faster tau accumulation especially in younger Aβ+ subjects (i.e. interaction age x epicenter connectivity, b = 4.41, p<0.001, Fig. 3A). However, this effect was clearly driven by men (b = 6.13, p<0.001, Fig. 3B) and not observed when tested in women only (b = 1.55, p = 0.252, Fig. 3C). Conclusion: Aβ drives faster tau accumulation and this effect is particularly strong at younger age and even further pronounced in men, whose tau epicenters are more densely interconnected with the rest of the brain. Together, age and sex have clear modulating effects on tau spreading, and heterogeneous AD trajectories may be partly arisen due to sex‐specific differences in brain network architecture. [ABSTRACT FROM AUTHOR]
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- 2024
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48. Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment.
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Petersen, Marvin, Coenen, Mirthe, DeCarli, Charles, Luca, Alberto De, van der Lelij, Ewoud, Initiative, Alzheimer's Disease Neuroimaging, Barkhof, Frederik, Benke, Thomas, Chen, Christopher P L H, Dal-Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Fletcher, Evan M, Franzmeier, Nicolai, Hilal, Saima, Hofer, Edith, and Koek, Huiberdina L
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COGNITIVE processing speed ,EXECUTIVE function ,CEREBRAL small vessel diseases ,LARGE-scale brain networks ,COGNITION - Abstract
White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH to these deficits remain unclear. Lesion network mapping (LNM) enables us to infer if brain networks are connected to lesions and could be a promising technique for enhancing our understanding of the role of WMH in cognitive disorders. Our study employed LNM to test the following hypotheses: (i) LNM-informed markers surpass WMH volumes in predicting cognitive performance; and (ii) WMH contributing to cognitive impairment map to specific brain networks. We analysed cross-sectional data of 3485 patients from 10 memory clinic cohorts within the Meta VCI Map Consortium, using harmonized test results in four cognitive domains and WMH segmentations. WMH segmentations were registered to a standard space and mapped onto existing normative structural and functional brain connectome data. We employed LNM to quantify WMH connectivity to 480 atlas-based grey and white matter regions of interest (ROI), resulting in ROI-level structural and functional LNM scores. We compared the capacity of total and regional WMH volumes and LNM scores in predicting cognitive function using ridge regression models in a nested cross-validation. LNM scores predicted performance in three cognitive domains (attention/executive function, information processing speed, and verbal memory) significantly better than WMH volumes. LNM scores did not improve prediction for language functions. ROI-level analysis revealed that higher LNM scores, representing greater connectivity to WMH, in grey and white matter regions of the dorsal and ventral attention networks were associated with lower cognitive performance. Measures of WMH-related brain network connectivity significantly improve the prediction of current cognitive performance in memory clinic patients compared to WMH volume as a traditional imaging marker of cerebrovascular disease. This highlights the crucial role of network integrity, particularly in attention-related brain regions, improving our understanding of vascular contributions to cognitive impairment. Moving forward, refining WMH information with connectivity data could contribute to patient-tailored therapeutic interventions and facilitate the identification of subgroups at risk of cognitive disorders. [ABSTRACT FROM AUTHOR]
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- 2024
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49. Soluble TREM2 in CSF and its association with other biomarkers and cognition in autosomal-dominant Alzheimer's disease: a longitudinal observational study
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Adams, Sarah, Allegri, Ricardo, Araki, Aki, Barthelemy, Nicolas, Bechara, Jacob, Berman, Sarah, Bodge, Courtney, Brandon, Susan, Brooks, William (Bill), Brosch, Jared, Buck, Jill, Buckles, Virginia, Carter, Kathleen, Cash, Lisa, Chen, Charlie, Chhatwal, Jasmeer, Chrem, Patricio, Chua, Jasmin, Chui, Helena, Cruchaga, Carlos, Day, Gregory S, De La Cruz, Chrismary, Denner, Darcy, Diffenbacher, Anna, Dincer, Aylin, Donahue, Tamara, Douglas, Jane, Duong, Duc, Egido, Noelia, Esposito, Bianca, Farlow, Marty, Feldman, Becca, Fitzpatrick, Colleen, Flores, Shaney, Fox, Nick, Franklin, Erin, Friedrichsen, Nelly, Fujii, Hisako, Gardener, Samantha, Ghetti, Bernardino, Goate, Alison, Goldberg, Sarah, Goldman, Jill, Gonzalez, Alyssa, Gräber-Sultan, Susanne, Graff-Radford, Neill, Graham, Morgan, Gray, Julia, Gremminger, Emily, Grilo, Miguel, Groves, Alex, Häsler, Lisa, Hellm, Cortaiga, Herries, Elizabeth, Hoechst-Swisher, Laura, Hofmann, Anna, Holtzman, David, Hornbeck, Russ, Igor, Yakushev, Ihara, Ryoko, Ikeuchi, Takeshi, Ikonomovic, Snezana, Ishii, Kenji, Jack, Clifford, Jerome, Gina, Johnson, Erik, Käser, Stephan, Kasuga, Kensaku, Keefe, Sarah, Klunk, William (Bill), Koeppe, Robert, Koudelis, Deb, Kuder-Buletta, Elke, Laske, Christoph, Levey, Allan, Lopez, Oscar, Marsh, Jacob, Martinez, Rita, Martins, Ralph, Mason, Neal Scott, Masters, Colin, Mawuenyega, Kwasi, McCullough, Austin, Mejia, Arlene, MountzMD, James, Mummery, Cath, Nadkarni, Neelesh, Nagamatsu, Akemi, Neimeyer, Katie, Niimi, Yoshiki, Noble, James, Norton, Joanne, Nuscher, Brigitte, O'Connor, Antoinette, Obermüller, Ulricke, Patira, Riddhi, Perrin, Richard, Ping, Lingyan, Preische, Oliver, Renton, Alan, Ringman, John, Salloway, Stephen, Schofield, Peter, Senda, Michio, Seyfried, Nick, Shady, Kristine, Shimada, Hiroyuki, Sigurdson, Wendy, Smith, Jennifer, Smith, Lori, Snitz, Beth, Sohrabi, Hamid, Stephens, Sochenda, Taddei, Kevin, Thompson, Sarah, Wang, Peter, Wang, Qing, Weamer, Elise, Xu, Jinbin, Xu, Xiong, Morenas-Rodríguez, Estrella, Li, Yan, Franzmeier, Nicolai, Xiong, Chengjie, Suárez-Calvet, Marc, Fagan, Anne M, Schultz, Stephanie, Gordon, Brian A, Benzinger, Tammie L S, Hassenstab, Jason, McDade, Eric, Feederle, Regina, Karch, Celeste M, Schlepckow, Kai, Morris, John C, Kleinberger, Gernot, Nellgard, Bengt, Vöglein, Jonathan, Blennow, Kaj, Zetterberg, Henrik, Ewers, Michael, Jucker, Mathias, Levin, Johannes, Bateman, Randall J, and Haass, Christian
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- 2022
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50. Soluble TAM receptors sAXL and sTyro3 predict structural and functional protection in Alzheimer’s disease
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Brosseron, Frederic, Maass, Anne, Kleineidam, Luca, Ravichandran, Kishore Aravind, González, Pablo García, McManus, Róisín M., Ising, Christina, Santarelli, Francesco, Kolbe, Carl-Christian, Häsler, Lisa M., Wolfsgruber, Steffen, Marquié, Marta, Boada, Mercè, Orellana, Adelina, de Rojas, Itziar, Röske, Sandra, Peters, Oliver, Cosma, Nicoleta-Carmen, Cetindag, Arda, Wang, Xiao, Priller, Josef, Spruth, Eike J., Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn H., Bürger, Katharina, Janowitz, Daniel, Dichgans, Martin, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Goerss, Doreen, Laske, Christoph, Munk, Matthias H., Düzel, Emrah, Yakupov, Renat, Dobisch, Laura, Metzger, Coraline D., Glanz, Wenzel, Ewers, Michael, Dechent, Peter, Haynes, John Dylan, Scheffler, Klaus, Roy, Nina, Rostamzadeh, Ayda, Teunissen, Charlotte E., Marchant, Natalie L., Spottke, Annika, Jucker, Mathias, Latz, Eicke, Wagner, Michael, Mengel, David, Synofzik, Matthis, Jessen, Frank, Ramirez, Alfredo, Ruiz, Agustín, and Heneka, Michael T.
- Published
- 2022
- Full Text
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