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1. Imputation of missing values in multi-view data

Author

van Loon, Wouter, Fokkema, Marjolein, de Vos, Frank, Koini, Marisa, Schmidt, Reinhold, and de Rooij, Mark

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology
Abstract

Data for which a set of objects is described by multiple distinct feature sets (called views) is known as multi-view data. When missing values occur in multi-view data, all features in a view are likely to be missing simultaneously. This may lead to very large quantities of missing data which, especially when combined with high-dimensionality, can make the application of conditional imputation methods computationally infeasible. However, the multi-view structure could be leveraged to reduce the complexity and computational load of imputation. We introduce a new imputation method based on the existing stacked penalized logistic regression (StaPLR) algorithm for multi-view learning. It performs imputation in a dimension-reduced space to address computational challenges inherent to the multi-view context. We compare the performance of the new imputation method with several existing imputation algorithms in simulated data sets and a real data application. The results show that the new imputation method leads to competitive results at a much lower computational cost, and makes the use of advanced imputation algorithms such as missForest and predictive mean matching possible in settings where they would otherwise be computationally infeasible., Comment: 49 pages, 15 figures. Accepted manuscript

Published
2022
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4. Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification

Author

van Loon, Wouter, de Vos, Frank, Fokkema, Marjolein, Szabo, Botond, Koini, Marisa, Schmidt, Reinhold, and de Rooij, Mark

Subjects
Statistics - Methodology, Computer Science - Machine Learning, Statistics - Applications, Statistics - Machine Learning
Abstract

Multi-view data refers to a setting where features are divided into feature sets, for example because they correspond to different sources. Stacked penalized logistic regression (StaPLR) is a recently introduced method that can be used for classification and automatically selecting the views that are most important for prediction. We introduce an extension of this method to a setting where the data has a hierarchical multi-view structure. We also introduce a new view importance measure for StaPLR, which allows us to compare the importance of views at any level of the hierarchy. We apply our extended StaPLR algorithm to Alzheimer's disease classification where different MRI measures have been calculated from three scan types: structural MRI, diffusion-weighted MRI, and resting-state fMRI. StaPLR can identify which scan types and which derived MRI measures are most important for classification, and it outperforms elastic net regression in classification performance., Comment: 36 pages, 9 figures. Accepted manuscript

Published
2021
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6. Association of low-frequency and rare coding variants with information processing speed

Author

Bressler, Jan, Davies, Gail, Smith, Albert V, Saba, Yasaman, Bis, Joshua C, Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A, Mirza, Saira S, Wang, Ruiqi, Adams, Hieab HH, Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R, Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F, Grove, Megan L, Guo, Xiuqing, Hofer, Edith, Kardia, Sharon LR, Knol, Maria J, Koini, Marisa, Lopez, Oscar L, Marioni, Riccardo E, Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J, Rudan, Igor, Satizabal, Claudia L, Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H, Turner, Stephen T, van der Lee, Sven J, Ware, Erin B, Whitmer, Rachel A, Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J, Fitzpatrick, Annette L, Psaty, Bruce M, Fornage, Myriam, Arfan Ikram, M, van Duijn, Cornelia M, Seshadri, Sudha, Mosley, Thomas H, and Deary, Ian J

Subjects
Genetics, Brain Disorders, Aging, Human Genome, Adult, Cognition, Genome-Wide Association Study, Geroscience, Humans, Polymorphism, Single Nucleotide, Ubiquitin-Protein Ligases, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 × 10-6) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

Published
2021

8. Correction: Association of low-frequency and rare coding variants with information processing speed

Author

Bressler, Jan, Davies, Gail, Smith, Albert V., Saba, Yasaman, Bis, Joshua C., Jian, Xueqiu, Hayward, Caroline, Yanek, Lisa, Smith, Jennifer A., Mirza, Saira S., Wang, Ruiqi, Adams, Hieab H. H., Becker, Diane, Boerwinkle, Eric, Campbell, Archie, Cox, Simon R., Eiriksdottir, Gudny, Fawns-Ritchie, Chloe, Gottesman, Rebecca F., Grove, Megan L., Guo, Xiuqing, Hofer, Edith, Kardia, Sharon L. R., Knol, Maria J., Koini, Marisa, Lopez, Oscar L., Marioni, Riccardo E., Nyquist, Paul, Pattie, Alison, Polasek, Ozren, Porteous, David J., Rudan, Igor, Satizabal, Claudia L., Schmidt, Helena, Schmidt, Reinhold, Sidney, Stephen, Simino, Jeannette, Smith, Blair H., Turner, Stephen T., van der Lee, Sven J., Ware, Erin B., Whitmer, Rachel A., Yaffe, Kristine, Yang, Qiong, Zhao, Wei, Gudnason, Vilmundur, Launer, Lenore J., Fitzpatrick, Annette L., Psaty, Bruce M., Fornage, Myriam, Arfan Ikram, M., van Duijn, Cornelia M., Seshadri, Sudha, Mosley, Thomas H., and Deary, Ian J.

Published
2022
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9. Impaired Kidney Function, Cerebral Small Vessel Disease and Cognitive Disorders: The Framingham Heart Study

Author

Kelly, Dearbhla M, primary, Pinheiro, Adlin A, additional, Koini, Marisa, additional, Anderson, Christopher D, additional, Aparicio, Hugo, additional, Hofer, Edith, additional, Kern, Daniela, additional, Blacker, Deborah, additional, DeCarli, Charles, additional, Hwang, Shih-Jen, additional, Viswanathan, Anand, additional, Gonzales, Mitzi M, additional, Beiser, Alexa S, additional, Seshadri, Sudha, additional, Schmidt, Reinhold, additional, Demissie, Serkalem, additional, and Romero, Jose R, additional

Published
2024
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11. SmartAktiv: A tablet- and virtual reality-based training for individuals with cognitive decline

Author

Schultz, Anna, primary, Paletta, Lucas, additional, Linzer, Amadeus, additional, Goldgruber, Judith, additional, Berger, Ursula, additional, Kratky, Wolfgang, additional, Russegger, Silvia, additional, Draxler, Sandra, additional, Orgel, Thomas, additional, Dini, Amir, additional, Schneeberger, Michael, additional, Pszeida, Martin, additional, Weiss, Wolfgang, additional, Pfitzer, Thomas, additional, Koini, Marisa, additional, Schuessler, Sandra, additional, and Zuschnegg, Julia, additional

Published
2024
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12. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Author

Okbay, Aysu, Baselmans, Bart ML, De Neve, Jan-Emmanuel, Turley, Patrick, Nivard, Michel G, Fontana, Mark Alan, Meddens, S Fleur W, Linnér, Richard Karlsson, Rietveld, Cornelius A, Derringer, Jaime, Gratten, Jacob, Lee, James J, Liu, Jimmy Z, de Vlaming, Ronald, Ahluwalia, Tarunveer S, Buchwald, Jadwiga, Cavadino, Alana, Frazier-Wood, Alexis C, Furlotte, Nicholas A, Garfield, Victoria, Geisel, Marie Henrike, Gonzalez, Juan R, Haitjema, Saskia, Karlsson, Robert, van der Laan, Sander W, Ladwig, Karl-Heinz, Lahti, Jari, van der Lee, Sven J, Lind, Penelope A, Liu, Tian, Matteson, Lindsay, Mihailov, Evelin, Miller, Michael B, Minica, Camelia C, Nolte, Ilja M, Mook-Kanamori, Dennis, van der Most, Peter J, Oldmeadow, Christopher, Qian, Yong, Raitakari, Olli, Rawal, Rajesh, Realo, Anu, Rueedi, Rico, Schmidt, Börge, Smith, Albert V, Stergiakouli, Evie, Tanaka, Toshiko, Taylor, Kent, Thorleifsson, Gudmar, Wedenoja, Juho, Wellmann, Juergen, Westra, Harm-Jan, Willems, Sara M, Zhao, Wei, Amin, Najaf, Bakshi, Andrew, Bergmann, Sven, Bjornsdottir, Gyda, Boyle, Patricia A, Cherney, Samantha, Cox, Simon R, Davies, Gail, Davis, Oliver SP, Ding, Jun, Direk, Nese, Eibich, Peter, Emeny, Rebecca T, Fatemifar, Ghazaleh, Faul, Jessica D, Ferrucci, Luigi, Forstner, Andreas J, Gieger, Christian, Gupta, Richa, Harris, Tamara B, Harris, Juliette M, Holliday, Elizabeth G, Hottenga, Jouke-Jan, De Jager, Philip L, Kaakinen, Marika A, Kajantie, Eero, Karhunen, Ville, Kolcic, Ivana, Kumari, Meena, Launer, Lenore J, Franke, Lude, Li-Gao, Ruifang, Liewald, David C, Koini, Marisa, Loukola, Anu, Marques-Vidal, Pedro, Montgomery, Grant W, Mosing, Miriam A, Paternoster, Lavinia, Pattie, Alison, Petrovic, Katja E, Pulkki-Råback, Laura, Quaye, Lydia, Räikkönen, Katri, Rudan, Igor, and Scott, Rodney J

Subjects
Biological Sciences, Genetics, Mental Health, Human Genome, Depression, Anxiety Disorders, Bayes Theorem, Genome-Wide Association Study, Humans, Neuroticism, Phenotype, Polymorphism, Single Nucleotide, LifeLines Cohort Study, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.

Published
2016

13. AI‐based Digital Biomarkers for Mild Dementia Decision Support using Mobile Playful Exercises with High Adherence

Author

Paletta, Lucas, primary, Pszeida, Martin, additional, Russegger, Silvia, additional, Orgel, Thomas, additional, Draxler, Sandra, additional, Berger, Martin, additional, Koini, Marisa, additional, Fellner, Maria, additional, Spat, Stephan, additional, Schüssler, Sandra, additional, Zuschnegg, Julia, additional, Strobl, Bernhard, additional, Ploder, Karin, additional, and Hofmarcher‐Holzhacker, Maria, additional

Published
2023
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15. Contributors

Author

Abbatecola, Angela Marie, primary, Abdellatif, Ahmed, additional, Abrahams, Shameemah, additional, Almey, Anne, additional, Artan, Sevilhan, additional, Attia, Hamdino, additional, Ausin, Karina, additional, Bardien, Soraya, additional, Bareš, Martin, additional, Bekker, Minke, additional, Belagodu, Amogh, additional, Bellomo, Antonello, additional, Belova, Olga A., additional, Beltrán-Castillo, Sebastián, additional, Białecka-De¸bek, Agata, additional, Binda, Karina Henrique, additional, Blumberger, Daniel M., additional, Boccardi, Mariangela, additional, Boccardi, Virginia, additional, Boros, Benjamin D., additional, Bors, Luca Anna, additional, Bortolami, Alessandro, additional, Bowie, Daniel C., additional, Bruno, Francesca, additional, Caramelli, Paulo, additional, Cardona-Gómez, G.P., additional, Carr, Jonathan, additional, Cartas-Cejudo, Paz, additional, Casadesus, Gemma, additional, Clements, Grace M., additional, Cuttler, Katelyn, additional, Daniele, Antonio, additional, Daskalakis, Zafiris J., additional, Dibello, Vittorio, additional, Di Rosa, Michelino, additional, D’Agata, Velia, additional, D’Amico, Agata Grazia, additional, du Toit, Andre, additional, Ebrahimi-Mameghani, Mehrangiz, additional, Eggen, B.J.L., additional, Ekpo, Okobi, additional, Erdő, Franciska, additional, Erickson, Kirk I., additional, Erzurumluoglu Gokalp, Ebru, additional, Escobar, Kurt A., additional, Eugenín, Jaime, additional, Fabiani, Monica, additional, Farghali, Mahitab, additional, Federico, Concetta, additional, Fernández-Irigoyen, Joaquín, additional, Ferrari, Federica, additional, Ferrer, Isidro, additional, Filip, Pavel, additional, Fraga, Vanêssa Gomes, additional, Furuse, Mitsuhiro, additional, Galvez, Roberto, additional, Gardener, Samantha L., additional, Gervais, Nicole J., additional, Giannelli, Gianluigi, additional, Gil, Laura, additional, Gomes, Karina Braga, additional, González-Morales, Andrea, additional, Graham, Stuart L., additional, Gratton, Gabriele, additional, Greco, Antonio, additional, Grigoriev, Andrey, additional, Gu, Yian, additional, Guan, Lingyu, additional, Gulley, Joshua M., additional, Gupta, Vivek K., additional, Herskowitz, Jeremy H., additional, Jinno, Shozo, additional, Jonasson, Lars Stiernman, additional, Jové, Mariona, additional, Kang, Shuo, additional, Kelly, Michy P., additional, Kinno, Ryuta, additional, Knyazeva, Maria G., additional, Koh, Joanne, additional, Koini, Marisa, additional, Komleva, Yulia K., additional, Lachén-Montes, Mercedes, additional, La Montagna, Maddalena, additional, Landau, Anne Marlene, additional, Lauretani, Fulvio, additional, Li, Ran, additional, Li, Yuandong, additional, Li, Xuan, additional, Lissemore, Jennifer I., additional, Loos, Ben, additional, Lopatina, Olga L., additional, Lozupone, Madia, additional, MacLean, Andrew G., additional, Maduna, Tando, additional, Maggio, Marcello, additional, Majdi, Alireza, additional, Manan, Hanani Abdul, additional, Marfella, Raffaele, additional, Maugeri, Grazia, additional, Mendizuri, Naroa, additional, Mey, Megan, additional, Mizutani, Kiyohito, additional, Molinari, Claudio, additional, Morsanuto, Vera, additional, Mota-Martorell, Natalia, additional, Navakkode, Sheeja, additional, Nicoll, Gina, additional, Ono, Kenjiro, additional, Ozbabalik Adapinar, Demet, additional, Pamplona, Reinald, additional, Panza, Francesco, additional, Peterson, Tiffany A., additional, Pradas, Irene, additional, Preedy, Victor R., additional, Rainey-Smith, Stephanie R., additional, Real, Caroline Cristiano, additional, Rendeiro, Catarina, additional, Rhodes, Justin S., additional, Rogerson, Georgia A.F., additional, Ruga, Sara, additional, Saccone, Salvatore, additional, Sadigh-Eteghad, Saeed, additional, Salmin, Vladimir V., additional, Salmina, Alla B., additional, Sanayei, Mahzad, additional, Sanfilippo, Cristina, additional, Santamaría, Enrique, additional, Sardone, Rodolfo, additional, Schatten, Heide, additional, Seripa, Davide, additional, Sesti, Federico, additional, Shen, Ting, additional, Solfrizzi, Vincenzo, additional, Soong, Tuck Wah, additional, Starnawska, Anna, additional, Staunstrup, Nicklas Heine, additional, Stillman, Chelsea, additional, Sturiale, Valentina, additional, Takai, Yoshimi, additional, Turner, Dennis A., additional, Uberti, Francesca, additional, Vaghef-Mehrabany, Elnaz, additional, Vaghef-Mehrabany, Leila, additional, VanDusseldorp, Trisha A., additional, Villa, Roberto Federico, additional, Villamil-Ortiz, J., additional, von Bernhardi, Rommy, additional, Wang, Ruikang K., additional, Wengle, Lauren, additional, Wu, Yu-Chien, additional, Yahya, Noorazrul Azmie, additional, Yamada, Jun, additional, Yang, Wei, additional, You, Yuyi, additional, Yusoff, Ahmad Nazlim, additional, and Zhai, Jing, additional

Published
2021
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20. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, Gail, Lam, Max, Harris, Sarah E., Trampush, Joey W., Luciano, Michelle, Hill, W. David, Hagenaars, Saskia P., Ritchie, Stuart J., Marioni, Riccardo E., Fawns-Ritchie, Chloe, Liewald, David C. M., Okely, Judith A., Ahola-Olli, Ari V., Barnes, Catriona L. K., Bertram, Lars, Bis, Joshua C., Burdick, Katherine E., Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E., Hayward, Caroline, Hofer, Edith, Ikram, M. Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A., Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A., Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A., Smith, Albert V., Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J., Ware, Erin B., Windham, B. Gwen, Wright, Margaret J., Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A., Armstrong, Nicola J., Assareh, Amelia A., Attia, John R., Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A., Böhmer, Anne C., Boyle, Patricia A., Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D., Cirulli, Elizabeth T., Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R., Dale, Anders M., Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G., Evangelou, Evangelos, Faul, Jessica D., Ford, Ian, Freimer, Nelson A., Gao, He, Giegling, Ina, Gillespie, Nathan A., Gordon, Scott D., Gottesman, Rebecca F., Griswold, Michael E., Gudnason, Vilmundur, Harris, Tamara B., Hartmann, Annette M., Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G., Joshi, Peter K., Kähönen, Mika, Kardia, Sharon L. R., Karlsson, Ida, Kleineidam, Luca, Knopman, David S., Kochan, Nicole A., Konte, Bettina, Kwok, John B., Le Hellard, Stephanie, Lee, Teresa, Lehtimäki, Terho, Li, Shu-Chen, Lill, Christina M., Liu, Tian, Koini, Marisa, London, Edythe, Longstreth, Jr, Will T., Lopez, Oscar L., Loukola, Anu, Luck, Tobias, Lundervold, Astri J., Lundquist, Anders, Lyytikäinen, Leo-Pekka, Martin, Nicholas G., Montgomery, Grant W., Murray, Alison D., Need, Anna C., Noordam, Raymond, Nyberg, Lars, Ollier, William, Papenberg, Goran, Pattie, Alison, Polasek, Ozren, Poldrack, Russell A., Psaty, Bruce M., Reppermund, Simone, Riedel-Heller, Steffi G., Rose, Richard J., Rotter, Jerome I., Roussos, Panos, Rovio, Suvi P., Saba, Yasaman, Sabb, Fred W., Sachdev, Perminder S., Satizabal, Claudia L., Schmid, Matthias, Scott, Rodney J., Scult, Matthew A., Simino, Jeannette, Slagboom, P. Eline, Smyrnis, Nikolaos, Soumaré, Aïcha, Stefanis, Nikos C., Stott, David J., Straub, Richard E., Sundet, Kjetil, Taylor, Adele M., Taylor, Kent D., Tzoulaki, Ioanna, Tzourio, Christophe, Uitterlinden, André, Vitart, Veronique, Voineskos, Aristotle N., Kaprio, Jaakko, Wagner, Michael, Wagner, Holger, Weinhold, Leonie, Wen, K. Hoyan, Widen, Elisabeth, Yang, Qiong, Zhao, Wei, Adams, Hieab H. H., Arking, Dan E., Bilder, Robert M., Bitsios, Panos, Boerwinkle, Eric, Chiba-Falek, Ornit, Corvin, Aiden, De Jager, Philip L., Debette, Stéphanie, Donohoe, Gary, Elliott, Paul, Fitzpatrick, Annette L., Gill, Michael, Glahn, David C., Hägg, Sara, Hansell, Narelle K., Hariri, Ahmad R., Ikram, M. Kamran, Jukema, J. Wouter, Vuoksimaa, Eero, Keller, Matthew C., Kremen, William S., Launer, Lenore, Lindenberger, Ulman, Palotie, Aarno, Pedersen, Nancy L., Pendleton, Neil, Porteous, David J., Räikkönen, Katri, Raitakari, Olli T., Ramirez, Alfredo, Reinvang, Ivar, Rudan, Igor, Dan Rujescu, Schmidt, Reinhold, Schmidt, Helena, Schofield, Peter W., Schofield, Peter R., Starr, John M., Steen, Vidar M., Trollor, Julian N., Turner, Steven T., Van Duijn, Cornelia M., Villringer, Arno, Weinberger, Daniel R., Weir, David R., Wilson, James F., Malhotra, Anil, McIntosh, Andrew M., Gale, Catharine R., Seshadri, Sudha, Mosley, Jr, Thomas H., Bressler, Jan, Lencz, Todd, and Deary, Ian J.

Published
2019
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21. Computerized cognitive interventions for preventing dementia in people with mild cognitive impairment: A systematic review with meta‐analyses

Author

Zuschnegg, Julia, primary, Schoberer, Daniela, additional, Häussl, Alfred, additional, Russegger, Silvia, additional, Ploder, Karin, additional, Fellner, Maria, additional, Hofmarcher‐Holzhacker, Maria, additional, Roller‐Wirnsberger, Regina, additional, Paletta, Lucas, additional, Koini, Marisa, additional, and Schüssler, Sandra, additional

Published
2022
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22. Experiences of people with Alzheimer’s disease, relatives, and dementia trainers on the usability of a tablet‐based dementia training

Author

Schüssler, Sandra, primary, Zuschnegg, Julia, additional, Paletta, Lucas, additional, Russegger, Silvia, additional, Fellner, Maria, additional, Ploder, Karin, additional, Strobl, Bernhard, additional, Sekulic, Maja, additional, Koini, Marisa, additional, Hofmarcher‐Holzhacker, Maria, additional, and Roller‐Wirnsberger, Regina, additional

Published
2022
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23. Preliminary results of computer‐based multimodal training in Alzheimer’s disease over six months – the multimodAAL study

Author

Berger, Martin, primary, Schüssler, Sandra, additional, Zuschnegg, Julia, additional, Russegger, Silvia, additional, Paletta, Lucas, additional, Fellner, Maria, additional, Strobl, Bernhard, additional, Ploder, Karin, additional, Hofmarcher‐Holzhacker, Maria, additional, Stögerer‐Oberschmid, Eva Maria, additional, Guttmann‐Lattmanig, Alexandra, additional, and Koini, Marisa, additional

Published
2022
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25. The Purdue Pegboard Test: Normative Data From 1,355 Healthy People From Austria.

Author

Stijic, Marko, Petrovic, Katja, Schwingenschuh, Petra, Koini, Marisa, and Schmidt, Reinhold

Subjects
REFERENCE values, KRUSKAL-Wallis Test, MULTIPLE regression analysis, MANN Whitney U Test, T-test (Statistics), INDEPENDENT living, DESCRIPTIVE statistics, SOCIODEMOGRAPHIC factors, STATISTICAL sampling, MOTOR ability, LONGITUDINAL method, ADULTS, MIDDLE age, OLD age
Abstract

Importance: The Purdue Pegboard Test (PPT) is widely used as a measure of manual dexterity. Declining manual dexterity may predict cognitive decline among elderly people, but normative data for this population are scarce. Objective: To identify demographic and clinical predictors of PPT results in normal middle-aged and elderly Austrian people and to provide norms stratified by significant determinants. Design: A prospective, community-based cohort study using baseline data of participants from two study panels (1991–1994 and 1999–2003). Setting: Monocentric study Participants: 1,355 healthy, randomly selected, community-dwelling people ages 40 to 79 yr. Method: Extensive clinical examination, including completion of the PPT. Outcomes and Measures: The number of pegs placed within a 30-s time limit on four subtests: using the right hand, left hand, both hands, and assembly (within 60 s), respectively. Demographic outcomes were the highest grade achieved. Results: For all four subtests, increasing age (βs = −0.400 to −0.118, SEs = 0.006 to 0.019, p <.001) and male sex (βs = −1.440 to −0.807, SEs = 0.107 to 0.325, p <.001) was related to worse test results. Among vascular risk factors, diabetes (βs = −1.577 to −0.419, SEs = 0.165 to 0.503, p <.001) was related to worse test results but explained only a small portion (0.7%–1.1%) of the variability in PPT performance. Conclusions and Relevance: We provide age- and sex-specific norms of the PPT for a middle-aged and elderly population. The data represent useful reference values when assessing manual dexterity in older age groups. What This Article Adds: Advancing age and male sex relate to worse performance on the PPT in a community-dwelling cohort without signs and symptoms of neurological disease. Vascular risk factors explain only very little of the variance of test results in our population. Our study adds to the limited age- and sex-specific norms of the PPT among middle-aged and older people. This study provides age- and sex-specific norms of the Purdue Pegboard Test (PPT) for a middle-aged and elderly population. The data represent useful reference values when assessing manual dexterity in higher age groups. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, Gail, Lam, Max, Harris, Sarah E., Trampush, Joey W., Luciano, Michelle, Hill, W. David, Hagenaars, Saskia P., Ritchie, Stuart J., Marioni, Riccardo E., Fawns-Ritchie, Chloe, Liewald, David C. M., Okely, Judith A., Ahola-Olli, Ari V., Barnes, Catriona L. K., Bertram, Lars, Bis, Joshua C., Burdick, Katherine E., Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E., Hayward, Caroline, Hofer, Edith, Ikram, M. Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A., Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A., Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A., Smith, Albert V., Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J., Ware, Erin B., Windham, B. Gwen, Wright, Margaret J., Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A., Armstrong, Nicola J., Assareh, Amelia A., Attia, John R., Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A., Böhmer, Anne C., Boyle, Patricia A., Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D., Cirulli, Elizabeth T., Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R., Dale, Anders M., Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G., Evangelou, Evangelos, Faul, Jessica D., Ford, Ian, Freimer, Nelson A., Gao, He, Giegling, Ina, Gillespie, Nathan A., Gordon, Scott D., Gottesman, Rebecca F., Griswold, Michael E., Gudnason, Vilmundur, Harris, Tamara B., Hartmann, Annette M., Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G., Joshi, Peter K., Kähönen, Mika, Kardia, Sharon L. R., Karlsson, Ida, Kleineidam, Luca, Knopman, David S., Kochan, Nicole A., Konte, Bettina, Kwok, John B., Le Hellard, Stephanie, Lee, Teresa, Lehtimäki, Terho, Li, Shu-Chen, Lill, Christina M., Liu, Tian, Koini, Marisa, London, Edythe, Longstreth, Jr, Will T., Lopez, Oscar L., Loukola, Anu, Luck, Tobias, Lundervold, Astri J., Lundquist, Anders, Lyytikäinen, Leo-Pekka, Martin, Nicholas G., Montgomery, Grant W., Murray, Alison D., Need, Anna C., Noordam, Raymond, Nyberg, Lars, Ollier, William, Papenberg, Goran, Pattie, Alison, Polasek, Ozren, Poldrack, Russell A., Psaty, Bruce M., Reppermund, Simone, Riedel-Heller, Steffi G., Rose, Richard J., Rotter, Jerome I., Roussos, Panos, Rovio, Suvi P., Saba, Yasaman, Sabb, Fred W., Sachdev, Perminder S., Satizabal, Claudia L., Schmid, Matthias, Scott, Rodney J., Scult, Matthew A., Simino, Jeannette, Slagboom, P. Eline, Smyrnis, Nikolaos, Soumaré, Aïcha, Stefanis, Nikos C., Stott, David J., Straub, Richard E., Sundet, Kjetil, Taylor, Adele M., Taylor, Kent D., Tzoulaki, Ioanna, Tzourio, Christophe, Uitterlinden, André, Vitart, Veronique, Voineskos, Aristotle N., Kaprio, Jaakko, Wagner, Michael, Wagner, Holger, Weinhold, Leonie, Wen, K. Hoyan, Widen, Elisabeth, Yang, Qiong, Zhao, Wei, Adams, Hieab H. H., Arking, Dan E., Bilder, Robert M., Bitsios, Panos, Boerwinkle, Eric, Chiba-Falek, Ornit, Corvin, Aiden, De Jager, Philip L., Debette, Stéphanie, Donohoe, Gary, Elliott, Paul, Fitzpatrick, Annette L., Gill, Michael, Glahn, David C., Hägg, Sara, Hansell, Narelle K., Hariri, Ahmad R., Ikram, M. Kamran, Jukema, J. Wouter, Vuoksimaa, Eero, Keller, Matthew C., Kremen, William S., Launer, Lenore, Lindenberger, Ulman, Palotie, Aarno, Pedersen, Nancy L., Pendleton, Neil, Porteous, David J., Räikkönen, Katri, Raitakari, Olli T., Ramirez, Alfredo, Reinvang, Ivar, Rudan, Igor, Dan Rujescu, Schmidt, Reinhold, Schmidt, Helena, Schofield, Peter W., Schofield, Peter R., Starr, John M., Steen, Vidar M., Trollor, Julian N., Turner, Steven T., Van Duijn, Cornelia M., Villringer, Arno, Weinberger, Daniel R., Weir, David R., Wilson, James F., Malhotra, Anil, McIntosh, Andrew M., Gale, Catharine R., Seshadri, Sudha, Mosley, Jr, Thomas H., Bressler, Jan, Lencz, Todd, and Deary, Ian J.

Published
2018
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29. Usability Evaluation after a 6-month Tablet-based Dementia Training Program by People with Alzheimer’s Disease, Relatives, and Dementia Trainers

Author

Zuschnegg, Julia, primary, Schuessler, Sandra, additional, Paletta, Lucas, additional, Russegger, Silvia, additional, Fellner, Maria, additional, Ploder, Karin, additional, Strobl, Bernhard, additional, Sekulic, Maja, additional, Koini, Marisa, additional, M Hofmarcher Holzhacker, Maria, additional, and Roller Wirnsberger, Regina, additional

Published
2022
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30. Factors influencing serum neurofilament light chain levels in normal aging

Author

Koini, Marisa, primary, Pirpamer, Lukas, additional, Hofer, Edith, additional, Buchmann, Arabella, additional, Pinter, Daniela, additional, Ropele, Stefan, additional, Enzinger, Christian, additional, Benkert, Pascal, additional, Leppert, David, additional, Kuhle, Jens, additional, Schmidt, Reinhold, additional, and Khalil, Michael, additional

Published
2021
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31. FANTASTIC‐D: A lifestyle questionnaire for people with dementia living at home

Author

Schüssler, Sandra, primary, Zuschnegg, Julia, additional, Schatz, Manuela, additional, Russegger, Silvia, additional, Paletta, Lucas, additional, Draxler, Sandra, additional, Koini, Marisa, additional, Steiner, Josef, additional, Zweytik, Elke, additional, Ploder, Karin, additional, Strobl, Bernhard, additional, and Hofmarcher‐Holzhacker, Maria, additional

Published
2021
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32. Psychosocial effects of the humanoid socially assistive robot Coach Pepper on informal caregivers of people with dementia: A mixed‐methods study

Author

Zuschnegg, Julia, primary, Schüssler, Sandra, additional, Paletta, Lucas, additional, Voithofer, Claudia, additional, Lodron, Gerald, additional, Orgel, Thomas, additional, Russegger, Silvia, additional, Schneeberger, Michael, additional, Fellner, Maria, additional, Steiner, Josef, additional, Pansy‐Resch, Sandra, additional, Holter, Magdalena, additional, Prodromou, Dimitrios, additional, Brunsch, Sebastian, additional, Carnevale, Lorenzo, additional, Lammer, Lara, additional, and Koini, Marisa, additional

Published
2021
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33. Humanoid socially assistive robots in dementia care: a qualitative study about expectations of caregivers and dementia trainers.

Author

Zuschnegg, Julia, Paletta, Lucas, Fellner, Maria, Steiner, Josef, Pansy-Resch, Sandra, Jos, Anna, Koini, Marisa, Prodromou, Dimitrios, Halfens, Ruud J. G., Lohrmann, Christa, and Schüssler, Sandra

Subjects
CAREGIVERS, SOCIAL support, FOCUS groups, ADULT day care, DISCUSSION, CONFIDENCE intervals, MOTIVATION (Psychology), ACTIVITIES of daily living, ROBOTICS, QUALITATIVE research, DEMENTIA patients, DEMENTIA, ASSISTIVE technology, PHYSICAL mobility, COMMUNICATION, INTERPERSONAL relations, DESCRIPTIVE statistics, CONTENT analysis, ODDS ratio
Abstract

To examine the expectations of informal caregivers, nurses, and dementia trainers regarding the support of (physical and psychosocial) human needs by humanoid social assistive robots (SARs) in dementia care. A qualitative study was conducted with 11 homogeneous focus groups of informal caregivers, nurses and dementia trainers providing dementia care at home, in adult daycare centers, or in nursing homes. A qualitative content analysis was performed using a concept- and data-driven coding frame. Focus group discussions with 52 individuals were held. Participants reported mostly positive expectations and stated that SARs could offer potential support in all components of human needs, especially in avoiding danger (e.g. recognise danger, organise help), communication/contact with others (e.g. enable telephone calls, provide company), daily activities (e.g. remind of appointments, household obligations), recreational activities (e.g. provide music), eating/drinking (e.g. help cook), and mobility/body posture (e.g. give reminders/instructions for physical exercise). Participants also mentioned some negative expectations in all human needs, predominantly in communication/contact with others (e.g. loss of interpersonal interaction) and avoiding danger (e.g. scepticism regarding emergencies). Participants stated that SARs had great potential to provide assistance in dementia care, especially by reminding, motivating/encouraging and instructing people with dementia. Informal caregivers and nurses also considered them as useful supportive devices for themselves. However, participants also mentioned negative expectations, especially in communication/contact with others and avoiding danger. These findings demonstrate the support caregivers and dementia trainers expect from humanoid SARs and may contribute to their optimisation for dementia care. [ABSTRACT FROM AUTHOR]

Published
2022
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34. Humanoid socially assistive robots in dementia care: a qualitative study about expectations of caregivers and dementia trainers

Author

Zuschnegg, Julia, primary, Paletta, Lucas, additional, Fellner, Maria, additional, Steiner, Josef, additional, Pansy-Resch, Sandra, additional, Jos, Anna, additional, Koini, Marisa, additional, Prodromou, Dimitrios, additional, Halfens, Ruud J. G., additional, Lohrmann, Christa, additional, and Schüssler, Sandra, additional

Published
2021
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35. Alterations and test–retest reliability of functional connectivity network measures in cerebral small vessel disease

Author

Gesierich, Benno, Tuladhar, Anil Man, Telgte, Annemieke, Wiegertjes, Kim, Konieczny, Marek J., Finsterwalder, Sofia, Hübner, Mathias, Pirpamer, Lukas, Koini, Marisa, Abdulkadir, Ahmed, Franzmeier, Nicolai, Norris, David G., Marques, José P., Zu Eulenburg, Peter, Ewers, Michael, Schmidt, Reinhold, Leeuw, Frank‐Erik, and Duering, Marco

Subjects
610 Medicine & health
Abstract

While structural network analysis consolidated the hypothesis of cerebral small vessel disease (SVD) being a disconnection syndrome, little is known about functional changes on the level of brain networks. In patients with genetically defined SVD (CADASIL, n = 41) and sporadic SVD (n = 46), we independently tested the hypothesis that functional networks change with SVD burden and mediate the effect of disease burden on cognitive performance, in particular slowing of processing speed. We further determined test-retest reliability of functional network measures in sporadic SVD patients participating in a high-frequency (monthly) serial imaging study (RUN DMC-InTENse, median: 8 MRIs per participant). Functional networks for the whole brain and major subsystems (i.e., default mode network, DMN; fronto-parietal task control network, FPCN; visual network, VN; hand somatosensory-motor network, HSMN) were constructed based on resting-state multi-band functional MRI. In CADASIL, global efficiency (a graph metric capturing network integration) of the DMN was lower in patients with high disease burden (standardized beta = -.44; p [corrected] = .035) and mediated the negative effect of disease burden on processing speed (indirect path: std. beta = -.20, p = .047; direct path: std. beta = -.19, p = .25; total effect: std. beta = -.39, p = .02). The corresponding analyses in sporadic SVD showed no effect. Intraclass correlations in the high-frequency serial MRI dataset of the sporadic SVD patients revealed poor test-retest reliability and analysis of individual variability suggested an influence of age, but not disease burden, on global efficiency. In conclusion, our results suggest that changes in functional connectivity networks mediate the effect of SVD-related brain damage on cognitive deficits. However, limited reliability of functional network measures, possibly due to age-related comorbidities, impedes the analysis in elderly SVD patients.

Published
2020

36. Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer’s Disease

Author

Wagner, Fabian, Duering, Marco, Gesierich, Benno G., Enzinger, Christian, Ropele, Stefan, Dal-Bianco, Peter, Mayer, Florian, Schmidt, Reinhold, and Koini, Marisa

Subjects
Psychiatry, cognition, longitudinal, lcsh:RC435-571, lcsh:Psychiatry, structural covariance network, Alzheimer, random forest, Original Research
Abstract

The study of shared variation in gray matter morphology may define neurodegenerative diseases beyond what can be detected from the isolated assessment of regional brain volumes. We, therefore, aimed to (1) identify SCNs (structural covariance networks) that discriminate between Alzheimer's disease (AD) patients and healthy controls (HC), (2) investigate their diagnostic accuracy in comparison and above established markers, and (3) determine if they are associated with cognitive abilities. We applied a random forest algorithm to identify discriminating networks from a set of 20 SCNs. The algorithm was trained on a main sample of 104 AD patients and 104 age-matched HC and was then validated in an independent sample of 28 AD patients and 28 controls from another center. Only two of the 20 SCNs contributed significantly to the discrimination between AD and controls. These were a temporal and a secondary somatosensory SCN. Their diagnostic accuracy was 74% in the original cohort and 80% in the independent samples. The diagnostic accuracy of SCNs was comparable with that of conventional volumetric MRI markers including whole brain volume and hippocampal volume. SCN did not significantly increase diagnostic accuracy beyond that of conventional MRI markers. We found the temporal SCN to be associated with verbal memory at baseline. No other associations with cognitive functions were seen. SCNs failed to predict the course of cognitive decline over an average of 18 months. We conclude that SCNs have diagnostic potential, but the diagnostic information gain beyond conventional MRI markers is limited.

Published
2020

37. Alterations and test–retest reliability of functional connectivity network measures in cerebral small vessel disease

Author

Gesierich, Benno, primary, Tuladhar, Anil Man, additional, Telgte, Annemieke, additional, Wiegertjes, Kim, additional, Konieczny, Marek J., additional, Finsterwalder, Sofia, additional, Hübner, Mathias, additional, Pirpamer, Lukas, additional, Koini, Marisa, additional, Abdulkadir, Ahmed, additional, Franzmeier, Nicolai, additional, Norris, David G., additional, Marques, José P., additional, zu Eulenburg, Peter, additional, Ewers, Michael, additional, Schmidt, Reinhold, additional, Leeuw, Frank‐Erik, additional, and Duering, Marco, additional

Published
2020
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38. Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients

Author

de Vos, Frank, primary, Schouten, Tijn M., additional, Koini, Marisa, additional, Bouts, Mark J.R.J., additional, Feis, Rogier A., additional, Lechner, Anita, additional, Schmidt, Reinhold, additional, van Buchem, Mark A., additional, Verhey, Frans R.J., additional, Olde Rikkert, Marcel G.M., additional, Scheltens, Philip, additional, de Rooij, Mark, additional, van der Grond, Jeroen, additional, and Rombouts, Serge A.R.B., additional

Published
2020
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39. MSJ837707_supplementary_appendix – Supplemental material for Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis

Author

D’Ambrosio, Alessandro, Valsasina, Paola, Gallo, Antonio, Stefano, Nicola De, Pareto, Deborah, Barkhof, Frederik, Ciccarelli, Olga, Enzinger, Christian, Tedeschi, Gioacchino, M Laura Stromillo, Arévalo, Maria J, Hulst, Hanneke E, Muhlert, Nils, Koini, Marisa, Filippi, Massimo, and Rocca, Maria A

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, MSJ837707_supplementary_appendix for Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis by Alessandro d’Ambrosio, Paola Valsasina, Antonio Gallo, Nicola De Stefano, Deborah Pareto, Frederik Barkhof, Olga Ciccarelli, Christian Enzinger, Gioacchino Tedeschi, M Laura Stromillo, Maria J Arévalo, Hanneke E Hulst, Nils Muhlert, Marisa Koini, Massimo Filippi and Maria A Rocca in Multiple Sclerosis Journal

Published
2019
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40. MSJ-18-0794.R1_Supplementary_material – Supplemental material for Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis

Author

D’Ambrosio, Alessandro, Valsasina, Paola, Gallo, Antonio, Stefano, Nicola De, Pareto, Deborah, Barkhof, Frederik, Ciccarelli, Olga, Enzinger, Christian, Tedeschi, Gioacchino, M Laura Stromillo, Arévalo, Maria J, Hulst, Hanneke E, Muhlert, Nils, Koini, Marisa, Filippi, Massimo, and Rocca, Maria A

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, MSJ-18-0794.R1_Supplementary_material for Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis by Alessandro d’Ambrosio, Paola Valsasina, Antonio Gallo, Nicola De Stefano, Deborah Pareto, Frederik Barkhof, Olga Ciccarelli, Christian Enzinger, Gioacchino Tedeschi, M Laura Stromillo, Maria J Arévalo, Hanneke E Hulst, Nils Muhlert, Marisa Koini, Massimo Filippi and Maria A Rocca in Multiple Sclerosis Journal

Published
2019
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41. Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

Author

Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author), Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), and Niessen, W.J. (author)

Abstract

Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the generalizability of MRI-based classification probability scores to detect MCI on an individual basis within a general population. To determine classification probability scores, an AD, mild-AD, and moderate-AD detection model were created with anatomical and diffusion MRI measures calculated from a clinical Alzheimer's Disease (AD) cohort and subsequently applied to a population-based cohort with 48 MCI and 617 normal aging subjects. Each model's ability to detect MCI was quantified using area under the receiver operating characteristic curve (AUC) and compared with an MCI detection model trained and applied to the population-based cohort. The AD-model and mild-AD identified MCI from controls better than chance level (AUC = 0.600, p = 0.025; AUC = 0.619, p = 0.008). In contrast, the moderate-AD-model was not able to separate MCI from normal aging (AUC = 0.567, p = 0.147). The MCI-model was able to separate MCI from controls better than chance (p = 0.014) with mean AUC values comparable with the AD-model (AUC = 0.611, p = 1.0). Within our population-based cohort, classification models detected MCI better than chance. Nevertheless, classification performance rates were moderate and may be insufficient to facilitate robust MRI-based MCI detection on an individual basis. Our data indicate that multiparametric MRI-based classification algorithms, that are effective in clinical cohorts, may not straightforwardly translate to applications in a general population., YES! Delft, ImPhys/Quantitative Imaging

Published
2019
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42. Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification

Author

Bouts, Mark J. R. J., primary, Grond, Jeroen, additional, Vernooij, Meike W., additional, Koini, Marisa, additional, Schouten, Tijn M., additional, Vos, Frank, additional, Feis, Rogier A., additional, Cremers, Lotte G. M., additional, Lechner, Anita, additional, Schmidt, Reinhold, additional, Rooij, Mark, additional, Niessen, Wiro J., additional, Ikram, M. Arfan, additional, and Rombouts, Serge A. R. B., additional

Published
2019
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43. Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis

Author

d’Ambrosio, Alessandro, primary, Valsasina, Paola, additional, Gallo, Antonio, additional, De Stefano, Nicola, additional, Pareto, Deborah, additional, Barkhof, Frederik, additional, Ciccarelli, Olga, additional, Enzinger, Christian, additional, Tedeschi, Gioacchino, additional, Stromillo, M Laura, additional, Arévalo, Maria J, additional, Hulst, Hanneke E, additional, Muhlert, Nils, additional, Koini, Marisa, additional, Filippi, Massimo, additional, and Rocca, Maria A, additional

Published
2019
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44. Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis.

Author

d'Ambrosio, Alessandro, Valsasina, Paola, Gallo, Antonio, De Stefano, Nicola, Pareto, Deborah, Barkhof, Frederik, Ciccarelli, Olga, Enzinger, Christian, Tedeschi, Gioacchino, Stromillo, M Laura, Arévalo, Maria J, Hulst, Hanneke E, Muhlert, Nils, Koini, Marisa, Filippi, Massimo, and Rocca, Maria A

Subjects
COGNITION disorders, MULTIPLE sclerosis, BRAIN abnormalities
Abstract

Background: In multiple sclerosis (MS), abnormalities of brain network dynamics and their relevance for cognitive impairment have never been investigated. Objectives: The aim of this study was to assess the dynamic resting state (RS) functional connectivity (FC) on 62 relapsing-remitting MS patients and 65 sex-matched healthy controls enrolled at 7 European sites. Methods: MS patients underwent clinical and cognitive evaluation. Between-group network FC differences were evaluated using a dynamic approach (based on sliding-window correlation analysis) and grouping correlation matrices into recurrent FC states. Results: Dynamic FC analysis revealed, in healthy controls and MS patients, three recurrent FC states: two characterized by strong intra- and inter-network connectivity and one characterized by weak inter-network connectivity (State 3). A total of 23 MS patients were cognitively impaired (CI). Compared to cognitively preserved (CP), CI-MS patients had reduced RS-FC between subcortical and default-mode networks in the low-connectivity State 3 and lower dwell time (i.e. time spent in a given state) in the high-connectivity State 2. CI-MS patients also exhibited a lower number and a less frequent switching between meta-states, as well as a smaller distance traveled through connectivity states. Conclusion: Time-varying RS-FC was markedly less dynamic in CI- versus CP-MS patients, suggesting that slow inter-network connectivity contributes to cognitive dysfunction in MS. [ABSTRACT FROM AUTHOR]

Published
2020
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46. Reduced Dynamism of Functional Connectivity Is Associated with Cognitive Impairment in Multiple Sclerosis Patients: A Dynamic Functional Connectivity Study in a Multi-Center Setting (P3.379)

Author

D’Ambrosio, Alessandro, primary, Rocca, Maria A., additional, Valsasina, Paola, additional, Gallo, Antonio, additional, De Stefano, Nicola, additional, Pareto, Debora, additional, Barkhof, Frederik, additional, Ciccarelli, Olga, additional, Enzinger, Christian, additional, Tedeschi, Gioacchino, additional, Stromillo, Maria Laura, additional, Arevalo, Maria-Jesus, additional, Hulst, Hanneke, additional, Muhlert, Nils, additional, Koini, Marisa, additional, and Filippi, Massimo, additional

Published
2018
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47. Ninety-nine independent genetic loci influencing general cognitive function include genes associated with brain health and structure (N = 280,360)

Author

Davies, Gail, primary, Lam, Max, additional, Harris, Sarah E, additional, Trampush, Joey W, additional, Luciano, Michelle, additional, Hill, W David, additional, Hagenaars, Saskia P, additional, Ritchie, Stuart J, additional, Marioni, Riccardo E, additional, Fawns-Ritchie, Chloe, additional, Liewald, David CM, additional, Okely, Judith A, additional, Ahola-Olli, Ari V, additional, Barnes, Catriona LK, additional, Bertram, Lars, additional, Bis, Joshua C, additional, Burdick, Katherine E, additional, Christoforou, Andrea, additional, DeRosse, Pamela, additional, Djurovic, Srdjan, additional, Espeseth, Thomas, additional, Giakoumaki, Stella, additional, Giddaluru, Sudheer, additional, Gustavson, Daniel E, additional, Hayward, Caroline, additional, Hofer, Edith, additional, Ikram, M Arfan, additional, Karlsson, Robert, additional, Knowles, Emma, additional, Lahti, Jari, additional, Leber, Markus, additional, Li, Shuo, additional, Mather, Karen A, additional, Melle, Ingrid, additional, Morris, Derek, additional, Oldmeadow, Christopher, additional, Palviainen, Teemu, additional, Payton, Antony, additional, Pazoki, Raha, additional, Petrovic, Katja, additional, Reynolds, Chandra A, additional, Sargurupremraj, Muralidharan, additional, Scholz, Markus, additional, Smith, Jennifer A, additional, Smith, Albert V, additional, Terzikhan, Natalie, additional, Thalamuthu, Anbu, additional, Trompet, Stella, additional, Lee, Sven J van der, additional, Ware, Erin B, additional, Windham, B Gwen, additional, Wright, Margaret J, additional, Yang, Jingyun, additional, Yu, Jin, additional, Ames, David, additional, Amin, Najaf, additional, Amouyel, Philippe, additional, Andreassen, Ole A, additional, Armstrong, Nicola J, additional, Assareh, Amelia A, additional, Attia, John R, additional, Attix, Deborah, additional, Avramopoulos, Dimitrios, additional, Bennett, David A, additional, Böhmer, Anne C, additional, Boyle, Patricia A, additional, Brodaty, Henry, additional, Campbell, Harry, additional, Cannon, Tyrone D, additional, Cirulli, Elizabeth T, additional, Congdon, Eliza, additional, Conley, Emily Drabant, additional, Corley, Janie, additional, Cox, Simon R, additional, Dale, Anders M, additional, Dehghan, Abbas, additional, Dick, Danielle, additional, Dickinson, Dwight, additional, Eriksson, Johan G, additional, Evangelou, Evangelos, additional, Faul, Jessica D, additional, Ford, Ian, additional, Freimer, Nelson A, additional, Gao, He, additional, Giegling, Ina, additional, Gillespie, Nathan A, additional, Gordon, Scott D, additional, Gottesman, Rebecca F, additional, Griswold, Michael E, additional, Gudnason, Vilmundur, additional, Harris, Tamara B, additional, Hartmann, Annette M, additional, Hatzimanolis, Alex, additional, Heiss, Gerardo, additional, Holliday, Elizabeth G, additional, Joshi, Peter K, additional, Kähönen, Mika, additional, Kardia, Sharon LR, additional, Karlsson, Ida, additional, Kleineidam, Luca, additional, Knopman, David S, additional, Kochan, Nicole A, additional, Konte, Bettina, additional, Kwok, John B, additional, Hellard, Stephanie Le, additional, Lee, Teresa, additional, Lehtimäki, Terho, additional, Li, Shu-Chen, additional, Liu, Tian, additional, Koini, Marisa, additional, London, Edythe, additional, Longstreth, Will T, additional, Lopez, Oscar L, additional, Loukola, Anu, additional, Luck, Tobias, additional, Lundervold, Astri J, additional, Lundquist, Anders, additional, Lyytikäinen, Leo-Pekka, additional, Martin, Nicholas G, additional, Montgomery, Grant W, additional, Murray, Alison D, additional, Need, Anna C, additional, Noordam, Raymond, additional, Nyberg, Lars, additional, Ollier, William, additional, Papenberg, Goran, additional, Pattie, Alison, additional, Polasek, Ozren, additional, Poldrack, Russell A, additional, Psaty, Bruce M, additional, Reppermund, Simone, additional, Riedel-Heller, Steffi G, additional, Rose, Richard J, additional, Rotter, Jerome I, additional, Roussos, Panos, additional, Rovio, Suvi P, additional, Saba, Yasaman, additional, Sabb, Fred W, additional, Sachdev, Perminder S, additional, Satizabal, Claudia, additional, Schmid, Matthias, additional, Scott, Rodney J, additional, Scult, Matthew A, additional, Simino, Jeannette, additional, Slagboom, P Eline, additional, Smyrnis, Nikolaos, additional, Soumaré, Aïcha, additional, Stefanis, Nikos C, additional, Stott, David J, additional, Straub, Richard E, additional, Sundet, Kjetil, additional, Taylor, Adele M, additional, Taylor, Kent D, additional, Tzoulaki, Ioanna, additional, Tzourio, Christophe, additional, Uitterlinden, André, additional, Vitart, Veronique, additional, Voineskos, Aristotle N, additional, Kaprio, Jaakko, additional, Wagner, Michael, additional, Wagner, Holger, additional, Weinhold, Leonie, additional, Wen, K Hoyan, additional, Widen, Elisabeth, additional, Yang, Qiong, additional, Zhao, Wei, additional, Adams, Hieab HH, additional, Arking, Dan E, additional, Bilder, Robert M, additional, 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2017
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