106 results on '"Beyer, Frauke"'
Search Results
102. Structural brain connectivity differences between children with developmental dyscalculia and typically developing peers.
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Ayyıldız, Nazife, Beyer, Frauke, Üstün, Sertaç, Kale, Emre H., Çaıfır, Öykü Mançe, Uran, Pınar, Öner, Özgür, Olkun, Sinan, Anwander, Alfred, Witte, Veronica A., Villringer, Arno, and Çiçek, Metehan
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WHITE matter (Nerve tissue) , *DIFFUSION tensor imaging , *SCHOOL children , *ACALCULIA , *BIG data , *LEARNING disabilities - Abstract
Objective: Developmental dyscalculia (DD) is a specific learning disability that negatively affects individual's arithmetic learning. Difficulties often continue from childhood through adulthood. Underlying neurobiological mechanisms of DD, however, have not been fully understood. The purpose of this study was to investigate possible structural brain connectivity differences between children with DD and typically developing (TD) peers. Methods: After screening 2058 third grade students in elementary schools with mathematical tests, we assigned children to DD and TD groups according to the screening results. After two years later, we invited children for detailed neuropsychological assessments. We obtained pure DD and TD children sample excluding comorbidities. Volunteer children were familiarized with a mock MRI-scanner. We acquired Diffusion Tensor Imaging (DTI) data with a Siemens Magnetom-Trio-Tim 3Tscanner with 60-different phase-encoding directions. Results: After preprocessing, we evaluated 10 children with pure DD (11.3±0.7 years) and 16 TD peers (11.2±0.6 years). We first assessed white matter microstructure with tract-based spatial statistics. Then we used probabilistic tractography to evaluate tract lengths and probabilistic connectivity maps in specific ROIs (Regions-of-Interest). At whole-brain level, we found no significant microstructural differences in white matter between DD children and TD peers. Also, seed-based connectivity probabilities showed no differences between groups. However, we found significant differences in ROI-tracts which had previously been related to math ability in children. The major findings of our study were reduced white matter integrity and shorter fiber lengths of the left superior longitudinal/arcuate fasciculus and left anterior thalamic radiation in the DD group. Conclusion: These results from regional analyses indicate that learning, memory and language-related pathways in the left hemisphere might underlie DD. Further studies are needed to implement with larger data sets, using longitudinal and/or interventional designs to confirm these findings. (This study was supported by TÜB‹TAK under the project code 214S069). [ABSTRACT FROM AUTHOR]
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- 2020
103. The Obesity-Susceptibility Gene TMEM18Promotes Adipogenesis through Activation of PPARG
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Landgraf, Kathrin, Klöting, Nora, Gericke, Martin, Maixner, Nitzan, Guiu-Jurado, Esther, Scholz, Markus, Witte, A. Veronica, Beyer, Frauke, Schwartze, Julian T., Lacher, Martin, Villringer, Arno, Kovacs, Peter, Rudich, Assaf, Blüher, Matthias, Kiess, Wieland, and Körner, Antje
- Abstract
TMEM18is the strongest candidate for childhood obesity identified from GWASs, yet as for most GWAS-derived obesity-susceptibility genes, the functional mechanism remains elusive. We here investigate the relevance of TMEM18for adipose tissue development and obesity. We demonstrate that adipocyte TMEM18expression is downregulated in children with obesity. Functionally, downregulation of TMEM18impairs adipocyte formation in zebrafish and in human preadipocytes, indicating that TMEM18is important for adipocyte differentiation in vivoand in vitro. On the molecular level, TMEM18 activates PPARG, particularly upregulating PPARG1promoter activity, and this activation is repressed by inflammatory stimuli. The relationship between TMEM18and PPARG1is also evident in adipocytes of children and is clinically associated with obesity and adipocyte hypertrophy, inflammation, and insulin resistance. Our findings indicate a role of TMEM18as an upstream regulator of PPARGsignaling driving healthy adipogenesis, which is dysregulated with adipose tissue dysfunction and obesity.
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- 2020
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104. 10Kin1day: A Bottom-Up Neuroimaging Initiative
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Van Den Heuvel, Martijn P, Scholtens, Lianne H, Van Der Burgh, Hannelore K, Agosta, Federica, Alloza, Clara, Arango, Celso, Auyeung, Bonnie, Baron-Cohen, Simon, Basaia, Silvia, Benders, Manon JNL, Beyer, Frauke, Booij, Linda, Braun, Kees PJ, Filho, Geraldo Busatto, Cahn, Wiepke, Cannon, Dara M, Chaim-Avancini, Tiffany M, Chan, Sandra SM, Chen, Eric YH, Crespo-Facorro, Benedicto, Crone, Eveline A, Dannlowski, Udo, De Zwarte, Sonja MC, Dietsche, Bruno, Donohoe, Gary, Plessis, Stefan Du, Durston, Sarah, Díaz-Caneja, Covadonga M, Díaz-Zuluaga, Ana M, Emsley, Robin, Filippi, Massimo, Frodl, Thomas, Gorges, Martin, Graff, Beata, Grotegerd, Dominik, Gąsecki, Dariusz, Hall, Julie M, Holleran, Laurena, Holt, Rosemary, Hopman, Helene J, Jansen, Andreas, Janssen, Joost, Jodzio, Krzysztof, Jäncke, Lutz, Kaleda, Vasiliy G, Kassubek, Jan, Masouleh, Shahrzad Kharabian, Kircher, Tilo, Koevoets, Martijn GJC, Kostic, Vladimir S, Krug, Axel, Lawrie, Stephen M, Lebedeva, Irina S, Lee, Edwin HM, Lett, Tristram A, Lewis, Simon JG, Liem, Franziskus, Lombardo, Michael V, Lopez-Jaramillo, Carlos, Margulies, Daniel S, Markett, Sebastian, Marques, Paulo, Martínez-Zalacaín, Ignacio, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meinert, Susanne L, Menchón, José M, Montag, Christian, Moreira, Pedro S, Morgado, Pedro, Mothersill, David O, Mérillat, Susan, Müller, Hans-Peter, Nabulsi, Leila, Najt, Pablo, Narkiewicz, Krzysztof, Naumczyk, Patrycja, Oranje, Bob, Ortiz-Garcia De La Foz, Victor, Peper, Jiska S, Pineda, Julian A, Rasser, Paul E, Redlich, Ronny, Repple, Jonathan, Reuter, Martin, Rosa, Pedro GP, Ruigrok, Amber NV, Sabisz, Agnieszka, Schall, Ulrich, Seedat, Soraya, Serpa, Mauricio H, Skouras, Stavros, Soriano-Mas, Carles, Sousa, Nuno, Szurowska, Edyta, Tomyshev, Alexander S, Tordesillas-Gutierrez, Diana, Valk, Sofie L, Van Den Berg, Leonard H, Van Erp, Theo GM, Van Haren, Neeltje EM, Van Leeuwen, Judith MC, Villringer, Arno, Vinkers, Christiaan H, Vollmar, Christian, Waller, Lea, Walter, Henrik, Whalley, Heather C, Witkowska, Marta, Witte, A Veronica, Zanetti, Marcus V, Zhang, Rui, and De Lange, Siemon C
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connectome analysis ,diffusion weighted MRI ,brain ,network ,3. Good health ,MRI - Abstract
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
105. Training intervention effects on cognitive performance and neuronal plasticity — A pilot study
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Wiebking, Christine, Lin, Chiao-I, Wippert, Pia-Maria, Filippini, Nicola (PhD), Burman, Douglas D. (PhD), and Beyer, Frauke (Dr. rer. med.)
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Neurology ,Fakultät für Gesundheitswissenschaften ,Neurology (clinical) ,ddc:610 ,610 Medizin und Gesundheit - Abstract
Studies suggest that people suffering from chronic pain may have altered brain plasticity, along with altered functional connectivity between pain-processing brain regions. These may be related to decreased mood and cognitive performance. There is some debate as to whether physical activity combined with behavioral therapy (e.g. cognitive distraction, body scan) may counteract these changes. However, underlying neuronal mechanisms are unclear. The aim of the current pilot study with a 3-armed randomized controlled trial design was to examine the effects of sensorimotor training for nonspecific chronic low back pain on (1) cognitive performance; (2) fMRI activity co-fluctuations (functional connectivity) between pain-related brain regions; and (3) the relationship between functional connectivity and subjective variables (pain and depression). Six hundred and sixty two volunteers with non-specific chronic low back pain were randomly allocated to a unimodal (sensorimotor training), multidisciplinary (sensorimotor training and behavioral therapy) intervention, or to a control group within a multicenter study. A subsample of patients (n = 21) from one study center participated in the pilot study presented here. Measurements were at baseline, during (3 weeks, M2) and after intervention (12 weeks, M4 and 24 weeks, M5). Cognitive performance was measured by the Trail Making Test and functional connectivity by MRI. Pain perception and depression were assessed by the Von Korff questionnaire and the Hospital and Anxiety. Group differences were calculated by univariate and repeated ANOVA measures and Bayesian statistics; correlations by Pearson's r. Change and correlation of functional connection were analyzed within a pooled intervention group (uni-, multidisciplinary group). Results revealed that participants with increased pain intensity at baseline showed higher functional connectivity between pain-related brain areas used as ROIs in this study. Though small sample sizes limit generalization, cognitive performance increased in the multimodal group. Increased functional connectivity was observed in participants with increased pain ratings. Pain ratings and connectivity in pain-related brain regions decreased after the intervention. The results provide preliminary indication that intervention effects can potentially be achieved on the cognitive and neuronal level. The intervention may be suitable for therapy and prevention of non-specific chronic low back pain., Zweitveröffentlichungen der Universität Potsdam : Gesundheitswissenschaftliche Reihe; 4
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- 2022
106. Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes.
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Shin J, Ma S, Hofer E, Patel Y, Vosberg DE, Tilley S, Roshchupkin GV, Sousa AMM, Jian X, Gottesman R, Mosley TH, Fornage M, Saba Y, Pirpamer L, Schmidt R, Schmidt H, Carrion-Castillo A, Crivello F, Mazoyer B, Bis JC, Li S, Yang Q, Luciano M, Karama S, Lewis L, Bastin ME, Harris MA, Wardlaw JM, Deary IE, Scholz M, Loeffler M, Witte AV, Beyer F, Villringer A, Armstrong NJ, Mather KA, Ames D, Jiang J, Kwok JB, Schofield PR, Thalamuthu A, Trollor JN, Wright MJ, Brodaty H, Wen W, Sachdev PS, Terzikhan N, Evans TE, Adams HHHH, Ikram MA, Frenzel S, Auwera-Palitschka SV, Wittfeld K, Bülow R, Grabe HJ, Tzourio C, Mishra A, Maingault S, Debette S, Gillespie NA, Franz CE, Kremen WS, Ding L, Jahanshad N, Sestan N, Pausova Z, Seshadri S, and Paus T
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- Adolescent, Adult, Aged, Aged, 80 and over, Brain Cortical Thickness, Female, Gene Expression Regulation, Developmental, Genome-Wide Association Study, Humans, Male, Microfilament Proteins genetics, Middle Aged, Principal Component Analysis, RNA-Binding Proteins genetics, Transcriptome, Young Adult, rho GTP-Binding Proteins genetics, tau Proteins genetics, Aptitude physiology, Career Choice, Cerebral Cortex growth & development, Form Perception genetics, Visual Cortex growth & development
- Abstract
We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most regions, whereas PC2 (visual) was specific to the primary and secondary visual cortices. We identified a total of 18 (PC1) and 17 (PC2) independent loci, which were replicated in another 25 746 individuals. The loci of the global PC1 included those associated previously with intracranial volume and/or general cognitive function, such as MAPT and IGF2BP1. The loci of the visual PC2 included DAAM1, a key player in the planar-cell-polarity pathway. We then tested associations with occupational aptitudes and, as predicted, found that the global PC1 was associated with General Learning Ability, and the visual PC2 was associated with the Form Perception aptitude. These results suggest that interindividual variations in global and regional development of the human cerebral cortex (and its molecular architecture) cascade-albeit in a very limited manner-to behaviors as complex as the choice of one's occupation., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)
- Published
- 2020
- Full Text
- View/download PDF
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