Scientific papers

Didac Vidal-Pineiro,  Yunpeng Wang, Stine K Krogsrud, Inge K  Amlien, William FC Baare, David Bartres-Faz, Lars Bertram, Andreas  M Brandmaier, Christian A Drevon, Sandra Duzel, Klaus P Ebmeier, Rik N Henson, Carme Junque, Rogier Kievit, Simone Kuhn, Esten Leonardsen, Ulman Lindenberger, Kathrine S  Madsen, Fredrik Magnussen,  Athanasia M Mowinckel, Lars Nyberg, James M Roe , Barbara Segura, Øystein Sorensen, Sana Suri, Eniko Zsoldos,          Kristine B Walhovd, Anders M Fjell

Gorbach T., Pudas S., Bartrés‐Faz, D., Brandmaier AM., Düzel S., Henson RN., Idland AV., Lindenberger U., Macià Bros D., Athanasia MM., Solé‐Padullés C., Sørensen Ø., Walhovd KB., Watne LO., Westerhausen R., Fjell AM., Nyberg L. 

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM), September, 2020

Read the article here.

Kristine B. Walhovd, Anders M. Fjell, Yunpeng Wang, Inge K. Amlien, Athanasia M. Mowinckel, Ulman Lindenberger, Sandra Düzel, David Bartrés- Faz, Klaus P. Ebmeier, Christian A Drevon, William Baaré, Paolo Ghisletta, Louise Baruël Johansen, Rogier A. Kievit, Richard N. Henson, Kathrine Skak Madsen, Lars Nyberg, Jennifer Harris, Cristina Solé-Padullés, Sara Pudas, Øystein Sørensen, René Westerhausen, Enik Zsoldos, Laura Nawijn, Torkild Hovde Lyngstad, Sana Suri, Brenda Penninx, Ole J. Røgeberg, Andreas M. Brandmaier

Read the preprint here.

Anders M Fjell, Øystein Sørensen, Inge K Amlien, David Bartrés-Faz et al.

Cerebral Cortex, 2020 Nov 25

Ylva Köhncke,  Sandra Düzel,  Myriam C Sander,  Ulman Lindenberger,  Simone Kühn, Andreas M Brandmaier 

Cerebral Cortex, 05 November 2020

https://doi.org/10.1093/cercor/bhaa287

Ø. Sørensen, A.M. Brandmaier, D. Maciàc, K. Ebmeier, P. Ghisletta, R.A. Kievit, A.M.Mowinckel, K. B.Walhovd, R. Westerhausen, A. Fjell

Neuroimage, Volume 224, 1 January 2021, 117416.

https://doi.org/10.1016/j.neuroimage.2020.117416

Taushanov, Z. & Ghisletta, P. (in press). The use of a Hidden Mixture Distribution model in clustering few but long sequence : An illustration with cognitive skills data. Symmetry, 2020, 12(10), 1618;

Cekic, S., Aichele S., Brandmaier, A. M., Köhncke, Y, & Ghisletta, P.:

A tutorial for joint modeling of longitudinal and time-to-event data in R. Quantitative and Computational Methods in Behavioral Sciences. In press.

de Lange, A. M. G., Anatürk, M., Kaufmann, T., Cole, J. H., Griffanti, L., Zsoldos, E., Jensen D. E. A., Filippini, N., Singh-Manoux, A., Kivimäki, M., Westlye, L. T., Ebmeier, K. P. (2020). Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study. bioRxiv.

doi: https://doi.org/10.1101/2020.01.28.923094

van Kesteren, E. J., & Kievit, R. A. (2020). Exploratory factor analysis with structured residuals for brain network data. Network Neuroscience, 1-45.

DOI: https://doi.org/10.1162/netn_a_00162

The Global Brain Health Survey: Development of a multi-language survey of public views on brain health, by Isabelle Budin-Ljøsne, Barbara Bodorkos Friedman, Sana Suri, Cristina Solé-Padullés, Sandra Düzel, Christian A Drevon, William Fran Christiaan Baaré, Athanasia Monika Mowinckel, Eniko Zsoldos, Kathrine Skak Madsen, Rebecca Bru Carver, Paolo Ghisletta, Mari Arnesen, David Bartrés-Faz, Andreas M Brandmaier, Anders Martin Fjell, Aud Kvalbein, Rik N Henson, Rogier Kievit, Laura Nawijn, Roland Pochet, Alfons Schnitzler, Kristine B Walhovd, Larysa Zasiekina, has been published in Frontiers in Public Health, section Public Health Education and Promotion.

https://doi.org/10.3389/fpubh.2020.00387

Melazzini, L., Mackay, C. E., Bordin, V., Suri, S., Zsoldos, E., Filippini, N., Mahmood, A., Sundaresan, V., Codari, M., Duff, E., Singh-Manoux, A., Kivimäki, M., Ebmeier, K. P., Jenkinson, M., Sardanelli, F., Griffanti, L.  (2020). White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance. medRxiv.

doi: https://doi.org/10.1101/2020.07.10.20149575

Anatürk, M., Kaufmann, T., Cole, J. H., Suri, S., Griffanti, L., Zsoldos, E., Filippini, N., Singh-Manoux, A., Kivimäki, M., Westlye, L. T., Ebmeier, K. P., de Lange, AM. G.(2020). Prediction of brain age and cognitive age: quantifying brain and cognitive maintenance in aging.

Preprint DOI: 10.31234/osf.io/gwqnt

Bordin, V., Bertani, I., Mattioli, I., Sundaresan, V., McCarthy, P., Suri, S., Zsoldos, E., Filippini, N., Mahmood, A., Melazzini, L., Laganà, M. M., Zamboni, G., Singh-Manoux, A., Kivimäki, M., Ebmeier, K. P., Baselli, G., Jenkinson, M., Mackay, C. E., Duff, E. P., Griffanti L. (2020). Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets. bioRxiv.

https://doi.org/10.1101/2020.07.28.208579​​​​​​​

A new Lifebrain preprint is out! In 4 aging cohorts in Lifebrain results indicate that thinning of the cortex in aging is not happening at equal rates in the brain's hemispheres. Rather, thicker homotopic cortex thins faster, and this is accelerated in Alzheimer's disease.

Roe J.M.,  Vidal-Piñeiro D., Sørensen Ø., Brandmaier M., Düzel S., Gonzalez H.A., Kievit R.A., Knights, E., Kuhn S., Lindenberger U., Mowinckel A. M., Nyberg L., Park D.C., Pudas S., Rundle M.M.,Walhovd K.B., Fjell A.M., Westerhausen R.: Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer’s Disease

Anatürk, M., Suri, S., Smith, S. M., Ebmeier, K. P., & Sexton, C. E. (2020). Mid-life and late life activities and their relationship with MRI measures of brain structure and functional connectivity in the UK Biobank cohort. bioRxiv.

doi: https://doi.org/10.1101/2020.04.10.035451

Demnitz, N., Anatürk, M., Allan, C. L., Filippini, N., Griffanti, L., Mackay, C. E., Mahmood, A., Sexton. C.E., Suri, S., Topiwala, A.G., Zsoldos, E., Kivimäki, M., Singh-Manoux, A. & Ebmeier, K. P. (2020). Association of trajectories of depressive symptoms with vascular risk, cognitive function and adverse brain outcomes: The Whitehall II MRI sub-study. medRxiv

doi: https://doi.org/10.1101/2020.05.20.20106963

Zsoldos, E., Mahmood, A., Filippini, N., Suri, S., Heise, V., Griffanti, L., Mackay, C. E., Singh-Manoux, A., Kivimäki, M. & Ebmeier, K. P. (2020). Association of mid-life stroke risk with structural brain integrity and memory performance at older ages: A longitudinal cohort study. Brain Communications.

doi: https://doi.org/10.1093/braincomms/fcaa026

Friedman, B. B., Suri, S., Solé-Padullés, C., Düzel, S., Drevon, C. A., Baaré, W. F., Bartrés-Faz D., Fjell AM., Johansen-Berg H., Madsen K. S., Nyberg L., Penninx B. W., Sexton C., Walhovd K. B., Zsoldos E., Budin-Ljøsne I. (2019). Are People Ready for Personalized Brain Health? Perspectives of Research Participants in the Lifebrain Consortium. The Gerontologist.

DOI: 10.1093/geront/gnz155

Köhncke, Y., Düzel, S., Sander, M. C., Lindenberger, U., Kuehn, S., & Brandmaier, A. M. (2020). Hippocampal and parahippocampal grey matter structural integrity assessed by multimodal imaging is associated with episodic memory in old age. bioRxiv.

Preprint-DOI: https://doi.org/10.1101/2020.02.07.936872

Jacobucci, R., Brandmaier, A. M., & Kievit, R. A. (2019). A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models. Advances in methods and practices in psychological science, 2(1), 55-76.

DOI: https://doi.org/10.1177/2515245919826527

Brandmaier, A. M., Ghisletta, P., & on Oertzen, T. (2019) Optimal Planned Missing Data Design for Linear Latent Growth Curve Models. Behavior Research Methods.

Preprint-DOI: 10.17605/OSF.IO/EZGQ3

Morcom, A. CamCAN, Henson, R. N. (2018).

Journal of Neuroscience 15 August 2018, 38 (33) 7303-7313;

DOI: https://doi.org/10.1523/JNEUROSCI.1701-17.2018

Liu, K.Y., Acosta-Cabronero, J., Cardenas-Blanco, A., Loane, C., Berry, A,J,, Betts, M.J., Kievit, R.A., Henson, R.N., Duzel, E., Cam-CAN, Howard, R., Hammerer, D.

Neurobiology of Aging, 74, 101-111 (2019) 

Fuhrmann, D., Nesbitt, D., Shafto, M., Rowe, J.B., Price, D., Gadie, A., Cam-CAN, Kievit, R.A.

Neurobiology of Aging, 74, 46-55 (2019)