المؤلفون: Martinelli, Filippo, Heinken, Almut, Henning, Ann-Kristin, Ulmer, Maria, Hensen, Tim, González, Antonio, Arnold, Matthias, Asthana, Sanjay, Budde, Kathrin, Engelman, Corinne, Estaki, Mehrbod, Grabe, Hans-Jörgen, Heston, Margo, Johnson, Sterling, Kastenmüller, Gabi, Martino, Cameron, McDonald, Daniel, Rey, Federico, Kilimann, Ingo, Peters, Olive, Wang, Xiao, Spruth, Eike, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Hansen, Niels, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Laske, Christoph, Munk, Matthias, Spottke, Annika, Roy, Nina, Nauck, Matthias, Teipel, Stefan, Kaddurah-Daouk, Rima, Bendlin, Barbara, Hertel, Johannes, Thiele, Ines, Knight, Rob

المصدر: Scientific Reports. 14(1)

مصطلحات موضوعية: Alzheimer’s disease, Co-metabolism, Constraint-based modelling, Formate, Host-microbiome, Metabolic modelling, Metabolomics, Microbiome, Pathways, Humans, Alzheimer Disease, Microbiota, Gastrointestinal Microbiome, Genomics, Formates

الوصف: In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimers disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilised whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalised whole-body metabolic models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/9r83z77kTest

المؤلفون: Kleineidam, Luca, Wolfsgruber, Steffen, Weyrauch, Anne-Sophie, Zulka, Linn E., Forstmeier, Simon, Roeske, Sandra, Bussche, Hendrik van den, Kaduszkiewicz, Hanna, Wiese, Birgitt, Weyerer, Siegfried, Werle, Jochen, Fuchs, Angela, Pentzek, Michael, Brettschneider, Christian, König, Hans-Helmut, Weeg, Dagmar, Bickel, Horst, Luppa, Melanie, Rodriguez, Francisca S., Freiesleben, Silka Dawn, Erdogan, Selin, Unterfeld, Chantal, Peters, Oliver, Spruth, Eike J., Altenstein, Slawek, Lohse, Andrea, Priller, Josef, Fliessbach, Klaus, Kobeleva, Xenia, Schneider, Anja, Bartels, Claudia, Schott, Björn H., Wiltfang, Jens, Maier, Franziska, Glanz, Wenzel, Incesoy, Enise I., Butryn, Michaela, Düzel, Emrah, Buerger, Katharina, Janowitz, Daniel, Ewers, Michael, Rauchmann, Boris-Stephan, Perneczky, Robert, Kilimann, Ingo, Görß, Doreen, Teipel, Stefan, Laske, Christoph, Munk, Matthias H. J., Spottke, Annika, Roy, Nina, Brosseron, Frederic, Heneka, Michael T., Ramirez, Alfredo, Yakupov, Renat, Scherer, Martin, Maier, Wolfgang, Jessen, Frank, Riedel-Heller, Steffi G., Wagner, Michael

الوصف: Introduction: Several lifestyle factors promote protection against Alzheimer's disease (AD) throughout a person's lifespan. Although such protective effects have been described for occupational cognitive requirements (OCR) in midlife, it is currently unknown whether they are conveyed by brain maintenance (BM), brain reserve (BR), or cognitive reserve (CR) or a combination of them. Methods: We systematically derived hypotheses for these resilience concepts and tested them in the population-based AgeCoDe cohort and memory clinic-based AD high-risk DELCODE study. The OCR score (OCRS) was measured using job activities based on the O*NET occupational classification system. Four sets of analyses were conducted: (1) the interaction of OCR and APOE-ε4 with regard to cognitive decline (N = 2,369, AgeCoDe), (2) association with differentially shaped retrospective trajectories before the onset of dementia of the Alzheimer's type (DAT; N = 474, AgeCoDe), (3) cross-sectional interaction of the OCR and cerebrospinal fluid (CSF) AD biomarkers and brain structural measures regarding memory function (N = 873, DELCODE), and (4) cross-sectional and longitudinal association of OCR with CSF AD biomarkers and brain structural measures (N = 873, DELCODE). Results: Regarding (1), higher OCRS was associated with a reduced association of APOE-ε4 with cognitive decline (mean follow-up = 6.03 years), consistent with CR and BR. Regarding (2), high OCRS was associated with a later onset but subsequently stronger cognitive decline in individuals converting to DAT, consistent with CR. Regarding (3), higher OCRS was associated with a weaker association of the CSF Aβ42/40 ratio and hippocampal volume with memory function, consistent with CR. Regarding (4), OCR was not associated with the levels or changes in CSF AD biomarkers (mean follow-up = 2.61 years). We found a cross-sectional, age-independent association of OCRS with some MRI markers, but no association with 1-year-change. OCR was not associated with the intracranial volume. These results ...

وصف الملف: text

العلاقة: https://tuprints.ulb.tu-darmstadt.de/23103/8/fpsyg-13-957308.pdfTest; https://tuprints.ulb.tu-darmstadt.de/23103/11/Data_Sheet_1.pdfTest; Kleineidam, Luca; Wolfsgruber, Steffen; Weyrauch, Anne-Sophie; Zulka, Linn E.; Forstmeier, Simon; Roeske, Sandra; Bussche, Hendrik van den; Kaduszkiewicz, Hanna; Wiese, Birgitt; Weyerer, Siegfried; Werle, Jochen; Fuchs, Angela; Pentzek, Michael; Brettschneider, Christian; König, Hans-Helmut; Weeg, Dagmar; Bickel, Horst; Luppa, Melanie; Rodriguez, Francisca S.; Freiesleben, Silka Dawn; Erdogan, Selin; Unterfeld, Chantal; Peters, Oliver; Spruth, Eike J.; Altenstein, Slawek; Lohse, Andrea; Priller, Josef; Fliessbach, Klaus; Kobeleva, Xenia; Schneider, Anja; Bartels, Claudia; Schott, Björn H.; Wiltfang, Jens; Maier, Franziska; Glanz, Wenzel; Incesoy, Enise I.; Butryn, Michaela; Düzel, Emrah; Buerger, Katharina; Janowitz, Daniel; Ewers, Michael; Rauchmann, Boris-Stephan; Perneczky, Robert; Kilimann, Ingo; Görß, Doreen; Teipel, Stefan; Laske, Christoph; Munk, Matthias H. J.; Spottke, Annika; Roy, Nina; Brosseron, Frederic; Heneka, Michael T.; Ramirez, Alfredo; Yakupov, Renat; Scherer, Martin; Maier, Wolfgang; Jessen, Frank; Riedel-Heller, Steffi G.; Wagner, Michael (2024)Midlife occupational cognitive requirements protect cognitive function in old age by increasing cognitive reserve. In: Frontiers in Psychology, 2022, 13 doi:10.26083/tuprints-00023103 Article, Secondary publication, Publisher's Version

الإتاحة: https://doi.org/10.26083/tuprints-00023103Test
http://tuprints.ulb.tu-darmstadt.de/23103Test/
https://tuprints.ulb.tu-darmstadt.de/23103/8/fpsyg-13-957308.pdfTest
https://tuprints.ulb.tu-darmstadt.de/23103/11/Data_Sheet_1.pdfTest

المؤلفون: Teipel, Stefan J., Dyrba, Martin, Kleineidam, Luca, Brosseron, Frederic, Levin, Fedor, Bruno, Davide, Buerger, Katharina, Cosma, Nicoleta, Schneider, Luisa‐Sophie, Düzel, Emrah, Glanz, Wenzel, Fliessbach, Klaus, Janowitz, Daniel, Kilimann, Ingo, Laske, Christoph, Munk, Matthias H., Maier, Franziska, Peters, Oliver, Pomara, Nunzio, Perneczky, Robert, Rauchmann, Boris‐Stephan, Priller, Josef, Ramirez, Alfredo, Roy, Nina, Schneider, Anja, Spottke, Annika, Spruth, Eike J., Roeske, Sandra, Wagner, Michael, Wiltfang, Jens, Wolfsgruber, Steffen, Bartels, Claudia, Jessen, Frank, Heneka, Michael T.

المصدر: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring ; volume 16, issue 1 ; ISSN 2352-8729 2352-8729

الوصف: INTRODUCTION We investigated the association of inflammatory mechanisms with markers of Alzheimer's disease (AD) pathology and rates of cognitive decline in the AD spectrum. METHODS We studied 296 cases from the Deutsches Zentrum für Neurodegenerative Erkrankungen Longitudinal Cognitive Impairment and Dementia Study (DELCODE) cohort, and an extension cohort of 276 cases of the Alzheimer's Disease Neuroimaging Initiative study. Using Bayesian confirmatory factor analysis, we constructed latent factors for synaptic integrity, microglia, cerebrovascular endothelial function, cytokine/chemokine, and complement components of the inflammatory response using a set of inflammatory markers in cerebrospinal fluid. RESULTS We found strong evidence for an association of synaptic integrity, microglia response, and cerebrovascular endothelial function with a latent factor of AD pathology and with rates of cognitive decline. We found evidence against an association of complement and cytokine/chemokine factors with AD pathology and rates of cognitive decline. DISCUSSION Latent factors provided access to directly unobservable components of the neuroinflammatory response and their association with AD pathology and cognitive decline.

الإتاحة: https://doi.org/10.1002/dad2.12510Test

المؤلفون: 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

المساهمون: Deutsche Forschungsgemeinschaft

المصدر: Molecular Psychiatry ; ISSN 1359-4184 1476-5578

مصطلحات موضوعية: Cellular and Molecular Neuroscience, Psychiatry and Mental health, Molecular Biology

الوصف: Neuroinflammation is a hallmark of Alzheimer’s disease (AD) and both positive and negative associations of individual inflammation-related markers with brain structure and cognitive function have been described. We aimed to identify inflammatory signatures of CSF immune-related markers that relate to changes of brain structure and cognition across the clinical spectrum ranging from normal aging to AD. A panel of 16 inflammatory markers, Aβ42/40 and p-tau181 were measured in CSF at baseline in the DZNE DELCODE cohort ( n = 295); a longitudinal observational study focusing on at-risk stages of AD. Volumetric maps of gray and white matter (GM/WM; n = 261) and white matter hyperintensities (WMHs, n = 249) were derived from baseline MRIs. Cognitive decline ( n = 204) and the rate of change in GM volume was measured in subjects with at least 3 visits ( n = 175). A principal component analysis on the CSF markers revealed four inflammatory components (PCs). Of these, the first component PC1 (highly loading on sTyro3, sAXL, sTREM2, YKL-40, and C1q) was associated with older age and higher p-tau levels, but with less pathological Aβ when controlling for p-tau. PC2 (highly loading on CRP, IL-18, complement factor F/H and C4) was related to male gender, higher body mass index and greater vascular risk. PC1 levels, adjusted for AD markers, were related to higher GM and WM volumes, less WMHs, better baseline memory, and to slower atrophy rates in AD-related areas and less cognitive decline. In contrast, PC2 related to less GM and WM volumes and worse memory at baseline. Similar inflammatory signatures and associations were identified in the independent F.ACE cohort. Our data suggest that there are beneficial and detrimental signatures of inflammatory CSF biomarkers. While higher levels of TAM receptors (sTyro/sAXL) or sTREM2 might reflect a protective glia response to degeneration related to phagocytic clearance, other markers might rather reflect proinflammatory states that have detrimental impact on brain integrity.

الإتاحة: https://doi.org/10.1038/s41380-023-02387-3Test
https://www.nature.com/articles/s41380-023-02387-3.pdfTest
https://www.nature.com/articles/s41380-023-02387-3Test

المؤلفون: 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, Rauchmann, Boris-Stephan

المساهمون: Alzheimer's Association, Horizon 2020 Marie Skłodowska-Curie Actions, Jena University Hospital, BMBF Berlin, National Institute on Aging

المصدر: Neurobiology of Aging ; volume 136, page 99-110 ; ISSN 0197-4580

مصطلحات موضوعية: Geriatrics and Gerontology, Developmental Biology, Neurology (clinical), Aging, General Neuroscience

الإتاحة: https://doi.org/10.1016/j.neurobiolaging.2024.01.012Test
https://api.elsevier.com/content/article/PII:S0197458024000241?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0197458024000241?httpAccept=text/plainTest

المؤلفون: 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, Teipel, Stefan J.

مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

الوصف: 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

الوصول الحر: http://arxiv.org/abs/2012.10294Test

المؤلفون: Gaubert, Malo, Dell’Orco, Andrea, Lange, Catharina, Garnier-Crussard, Antoine, Zimmermann, Isabella, Dyrba, Martin, Duering, Marco, Ziegler, Gabriel, Peters, Oliver, Preis, Lukas, Priller, Josef, Spruth, Eike Jakob, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Schott, Björn H., Maier, Franziska, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Munk, Matthias H., Spottke, Annika, Roy, Nina, Dobisch, Laura, Ewers, Michael, Dechent, Peter, Haynes, John Dylan, Scheffler, Klaus, Düzel, Emrah, Jessen, Frank, Wirth, Miranka

المساهمون: Gaubert, Malo, 1German Center for Neurodegenerative Diseases, Dresden, Germany, Dell’Orco, Andrea, Lange, Catharina, Garnier-Crussard, Antoine, 5Clinical and Research Memory Center of Lyon, Lyon Institute for Elderly, Hospices Civils de Lyon, Lyon, France, Zimmermann, Isabella, Dyrba, Martin, 8German Center for Neurodegenerative Diseases, Rostock, Germany, Duering, Marco, 9Department of Biomedical Engineering, Medical Image Analysis Center (MIAC) and qbig, University of Basel, Basel, Switzerland, Ziegler, Gabriel, 10German Center for Neurodegenerative Diseases, Magdeburg, Germany, Peters, Oliver, 11German Center for Neurodegenerative Diseases, Berlin, Germany, Preis, Lukas, 12Department of Psychiatry, Charité – Universitätsmedizin Berlin, Berlin, Germany, Priller, Josef, Spruth, Eike Jakob, Schneider, Anja, 16German Center for Neurodegenerative Diseases, Bonn, Germany, Fliessbach, Klaus, Wiltfang, Jens, 18German Center for Neurodegenerative Diseases, Göttingen, Germany, Schott, Björn H., Maier, Franziska, 22Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany, Glanz, Wenzel, Buerger, Katharina, 23German Center for Neurodegenerative Diseases, Munich, Germany, Janowitz, Daniel, 24Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich (LMU), Munich, Germany, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, 29German Center for Neurodegenerative Diseases, Tübingen, Germany, Munk, Matthias H., Spottke, Annika, Roy, Nina, Dobisch, Laura, Ewers, Michael, Dechent, Peter, 32MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University of Göttingen, Göttingen, Germany, Haynes, John Dylan, 33Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin, Berlin, Germany, Scheffler, Klaus, 34Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, Düzel, Emrah, Jessen, Frank, Wirth, Miranka

الوصف: Background White matter hyperintensities (WMH), a biomarker of small vessel disease, are often found in Alzheimer’s disease (AD) and their advanced detection and quantification can be beneficial for research and clinical applications. To investigate WMH in large-scale multicenter studies on cognitive impairment and AD, appropriate automated WMH segmentation algorithms are required. This study aimed to compare the performance of segmentation tools and provide information on their application in multicenter research. Methods We used a pseudo-randomly selected dataset (n = 50) from the DZNE-multicenter observational Longitudinal Cognitive Impairment and Dementia Study (DELCODE) that included 3D fluid-attenuated inversion recovery (FLAIR) images from participants across the cognitive continuum. Performances of top-rated algorithms for automated WMH segmentation [Brain Intensity Abnormality Classification Algorithm (BIANCA), lesion segmentation toolbox (LST), lesion growth algorithm (LGA), LST lesion prediction algorithm (LPA), pgs, and sysu_media] were compared to manual reference segmentation (RS). Results Across tools, segmentation performance was moderate for global WMH volume and number of detected lesions. After retraining on a DELCODE subset, the deep learning algorithm sysu_media showed the highest performances with an average Dice’s coefficient of 0.702 (±0.109 SD) for volume and a mean F1-score of 0.642 (±0.109 SD) for the number of lesions. The intra-class correlation was excellent for all algorithms (>0.9) but BIANCA (0.835). Performance improved with high WMH burden and varied across brain regions. Conclusion To conclude, the deep learning algorithm, when retrained, performed well in the multicenter context. Nevertheless, the performance was close to traditional methods. We provide methodological recommendations for future studies using automated WMH segmentation to quantify and assess WMH along the continuum of cognitive impairment and AD dementia.

العلاقة: https://resolver.sub.uni-goettingen.de/purl?gro-2/119795Test

الإتاحة: https://doi.org/10.3389/fpsyt.2022.1010273Test
https://resolver.sub.uni-goettingen.de/purl?gro-2/119795Test

المؤلفون: Roy, Nina

المساهمون: Passages XX-XXI (XXI), Université Lumière - Lyon 2 (UL2), Mireille Losco-Lena, Ensatt

المصدر: Vertiges de l'humour. Programme de recherche-création "Au risque de faire rire. 2022-2023". 2e journée d'étude. ; https://hal.science/hal-04168197Test ; Vertiges de l'humour. Programme de recherche-création "Au risque de faire rire. 2022-2023". 2e journée d'étude., Mireille Losco-Lena, Ensatt, May 2023, Lyon, France

مصطلحات موضوعية: Clown, cirque, tradition, dramaturgie, histoire, études théâtrales, [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD], [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts

جغرافية الموضوع: Lyon, France

الوصف: A study of clown entrances, the small forms in which clowns performed in the circus. Paris, late 19th - mid-20th centuryBased on Tristan Rémy's Entrées clownesques and Albert Fratellini's autobiography, Nous les Fratellini. ; Etude des entrées de clown, petite forme au sein de laquelle intervenaient les clowns au cirque. Paris, fin XIXe - milieu du XXe siècleD'après les Entrées clownesques de Tristan Rémy et l'autobiographie d'Albert Fratellini, Nous les Fratellini.

العلاقة: hal-04168197; https://hal.science/hal-04168197Test; https://hal.science/hal-04168197/documentTest; https://hal.science/hal-04168197/file/Entr%C3%A9es%20de%20clown.%20Nina%20Roy.pdfTest

الإتاحة: https://hal.science/hal-04168197Test
https://hal.science/hal-04168197/documentTest
https://hal.science/hal-04168197/file/Entr%C3%A9es%20de%20clown.%20Nina%20Roy.pdfTest

المؤلفون: 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, 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, Duzel, Emrah

المصدر: http://lobid.org/resources/990175899900206441Test#!, 15(1):43.

مصطلحات موضوعية: Brain reserve, Hippocampus, Cerebrospinal fluid (CSF), Amyloid pathologic change, Aß42/40, Memory, Alzheimer’s disease (AD), Medial temporal lobe, Subjective cognitive decline (SCD), Magnetic resonance imaging (MRI)

الوصف: BACKGROUND: In preclinical Alzheimer's disease, it is unclear why some individuals with amyloid pathologic change are asymptomatic (stage 1), whereas others experience subjective cognitive decline (SCD, stage 2). Here, we examined the association of stage 1 vs. stage 2 with structural brain reserve in memory-related brain regions. METHODS: We tested whether the volumes of hippocampal subfields and parahippocampal regions were larger in individuals at stage 1 compared to asymptomatic amyloid-negative older adults (healthy controls, HCs). We also tested whether individuals with stage 2 would show the opposite pattern, namely smaller brain volumes than in amyloid-negative individuals with SCD. Participants with cerebrospinal fluid (CSF) biomarker data and bilateral volumetric MRI data from the observational, multi-centric DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) study were included. The sample comprised 95 amyloid-negative and 26 amyloid-positive asymptomatic participants as well as 104 amyloid-negative and 47 amyloid-positive individuals with SCD. Volumes were based on high-resolution T2-weighted images and automatic segmentation with manual correction according to a recently established high-resolution segmentation protocol. RESULTS: In asymptomatic individuals, brain volumes of hippocampal subfields and of the parahippocampal cortex were numerically larger in stage 1 compared to HCs, whereas the opposite was the case in individuals with SCD. MANOVAs with volumes as dependent data and age, sex, years of education, and DELCODE site as covariates showed a significant interaction between diagnosis (asymptomatic versus SCD) and amyloid status (Aß42/40 negative versus positive) for hippocampal subfields. Post hoc paired comparisons taking into account the same covariates showed that dentate gyrus and CA1 volumes in SCD were significantly smaller in amyloid-positive than negative individuals. In contrast, CA1 volumes were significantly (p = 0.014) larger in stage 1 compared with HCs. ...

العلاقة: https://repository.publisso.de/resource/frl:6475347Test; https://doi.org/10.1186/s13195-023-01187-9Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972621Test/

الإتاحة: https://doi.org/10.1186/s13195-023-01187-9Test
https://repository.publisso.de/resource/frl:6475347Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972621Test/

المؤلفون: Waschkies, Konrad F., Soch, Joram, Darna, Margarita, Richter, Anni, Altenstein, Slawek, Beyle, Aline, Brosseron, Frederic, Buchholz, Friederike, Butryn, Michaela, Dobisch, Laura, Ewers, Michael, Fliessbach, Klaus, Gabelin, Tatjana, Glanz, Wenzel, Goerss, Doreen, Gref, Daria, Janowitz, Daniel, Kilimann, Ingo, Lohse, Andrea, Munk, Matthias H., Rauchmann, Boris-Stephan, Rostamzadeh, Ayda, Roy, Nina, Spruth, Eike Jakob, Dechent, Peter, Heneka, Michael T., Hetzer, Stefan, Ramirez, Alfredo, Scheffler, Klaus, Buerger, Katharina, Laske, Christoph, Perneczky, Robert, Peters, Oliver, Priller, Josef, Schneider, Anja, Spottke, Annika, Teipel, Stefan, Düzel, Emrah, Jessen, Frank, Wiltfang, Jens, Schott, Björn, Kizilirmak, Jasmin

المصدر: http://lobid.org/resources/990055734140206441Test#!, 38(10):e6007.

مصطلحات موضوعية: amnestic mild cognitive impairment, machine learning, resting-state, biomarker, subjective cognitive decline, fMRI, Alzheimer's disease, personality, cerebrospinal fluid, support vector machine

الوصف: BACKGROUND: Alzheimer's disease (AD) is often preceded by stages of cognitive impairment, namely subjective cognitive decline (SCD) and mild cognitive impairment (MCI). While cerebrospinal fluid (CSF) biomarkers are established predictors of AD, other non-invasive candidate predictors include personality traits, anxiety, and depression, among others. These predictors offer non-invasive assessment and exhibit changes during AD development and preclinical stages. METHODS: In a cross-sectional design, we comparatively evaluated the predictive value of personality traits (Big Five), geriatric anxiety and depression scores, resting-state functional magnetic resonance imaging activity of the default mode network, apoliprotein E (ApoE) genotype, and CSF biomarkers (tTau, pTau181, Aβ42/40 ratio) in a multi-class support vector machine classification. Participants included 189 healthy controls (HC), 338 individuals with SCD, 132 with amnestic MCI, and 74 with mild AD from the multicenter DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE). RESULTS: Mean predictive accuracy across all participant groups was highest when utilizing a combination of personality, depression, and anxiety scores. HC were best predicted by a feature set comprised of depression and anxiety scores and participants with AD were best predicted by a feature set containing CSF biomarkers. Classification of participants with SCD or aMCI was near chance level for all assessed feature sets. CONCLUSION: Our results demonstrate predictive value of personality trait and state scores for AD. Importantly, CSF biomarkers, personality, depression, anxiety, and ApoE genotype show complementary value for classification of AD and its at-risk stages.

العلاقة: https://repository.publisso.de/resource/frl:6475331Test; https://doi.org/10.1002/gps.6007Test

الإتاحة: https://doi.org/10.1002/gps.6007Test
https://repository.publisso.de/resource/frl:6475331Test