Doktorgradsavhandling:
Richard, G. (2019). Identifying markers of brain health and plasticity: A neuroimaging and behavioral study of cognitive aging and cognitive training following stroke. Universitetet i Oslo.

Artikler:
Richard, G., Kolskar, K., Sanders, A. M., Kaufmann, T., Petersen, A., Doan, N. T., Monereo Sanchez, J., Alnaes, D., Ulrichsen, K. M., Dorum, E. S., Andreassen, O. A., Nordvik, J. E. & Westlye, L. T. (2018). Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry. PeerJ — the Journal of Life and Environmental Sciences.
https://doi.org/10.7717/peerj.5908

Richard, G., Kolskår, K., Ulrichsen, K. M., Kaufmann, T., Alnæs, D., Sanders, A.-M., Dørum, E. S., Sánchez, J. M., Petersen, A., Ihle-Hansen, H., Nordvik, J. E. & Westlye, L. T. (2019). Reliable longitudinal brain age prediction in stroke patients: Associations with cognitive function and response to cognitive training. biorxiv.
https://doi.org/10.1101/687079

Richard, G., Petersen, A., Ulrichsen, K. M., Kolskår, K., Alnæs, D., Sanders, A.-M., Dørum, E. S., Ihle-Hansen, H., Nordvik, J. E. & Westlye, L. T. (2019). TVA-based modeling of short-term memory capacity, speed of processing and perceptual threshold in chronic stroke patients: Case-control differences, reliability, and sensitivity to cognitive training. biorxiv.
https://doi.org/10.1101/725168

Andre publikasjoner:
Kolskår, K. K., Alnæs, D., Kaufmann, T., Richard, G., Sanders, A.-M., Ulrichsen, K. M., Moberget, T., Andreassen, O. A., Nordvik, J. E. & Westlye, L. T. (2018). Key Brain Network Nodes Show Differential Cognitive Relevance and Developmental Trajectories during Childhood and Adolescence. eNeuro, 5(4).
https://doi.org/10.1523/ENEURO.0092-18.2018

Dorum, E. S., Kaufmann, T., Alnaes, D., Andreassen, O. A., Richard, G., Kolskar, K. K., Nordvik, J. E. & Westlye, L. T. (2017). Increased sensitivity to age-related differences in brain functional connectivity during continuous multiple object tracking compared to resting-state. Neuroimage, 148, 364-372.
https://doi.org/10.1016/j.neuroimage.2017.01.048

Dorum, E. S., Alnaes, D., Kaufmann, T., Richard, G., Lund, M. J., Tonnesen, S., Sneve, M. H., Mathiesen, N. C., Rustan, O. G., Gjertsen, O., Vatn, S., Fure, B., Andreassen, O. A., Nordvik, J. E. & Westlye, L. T. (2016). Age-related differences in brain network activation and co-activation during multiple object tracking. Brain and Behavior 6(11).
https://doi.org/10.1002/brb3.533

van der Meer, D., Rokicki, J., Kaufmann, T., …, Richard, G,, …, Andreassen, O. A. & Westlye, L. T., Alzheimer's Disease Neuroimaging I, Pediatric Imaging N, and Genetics S. (2018). Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes. Mol Psychiatry.
https://doi.org/10.1038/s41380-018-0262-7

Sonderby, I. E., Gustafsson, O., Doan, N. T., …, Richard, G., …, Westlye, L. T., Jacquemont, S., Djurovic, S., Stefansson, H., Stefansson, K., Thompson, P., Andreassen, O. A. & p11.2 European Consortium ftE-CNVwg. (2018). Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry.
https://doi.org/10.1038/s41380-018-0118-1

Kaufmann, T., van der Meer, D., Doan, N. T., Schwarz, E., Lund, M. J., …, Richard, G., …, Zink, M., Andreassen, O. A. & Westlye, L. T. (2019). Common brain disorders are associated with heritable patterns of apparent aging of the brain. Nat Neurosci 22:1617-1623.
https://doi.org/10.1038/s41593-019-0471-7

Kolskår, K. K., Richard, G., Alnæs, D., Dørum, E. S., Sanders, A.-M., Ulrichsen, K. M., Sánchez, J. M., Ihle-Hansen, H., Nordvik, J. E. & Westlye, L. T. (2019). A randomized, double blind study of computerized cognitive training in combination with transcranial direct currentstimulation (tDCS) in stroke patients–utility of fMRI as marker for training outcome. biorxiv
https://doi.org/10.1101/603985

Tønnesen, S., Kaufmann, T., Richard, G., Doan, N. T., Alnæs, D., van der Meer, D., Rokicki, J., Moberget, T., Maximov, I. I., Agartz, I., Aminoff, S. R., Barch, D., Beresniewicz, J., Cervenka, S., Craven, A., Flyckt, L., Gurholt, T. P., Haukvik, U. K., Hugdahl, K., Johnsen, E., Jönsson, E. G., Kolskår, K. K., Kompus, K., Kroken, R. A., Lagerberg, T. V., Løberg, E.-M., Nordvik, J. E., Sanders, A.-M., Ulrichsen, K., Andreassen, O. A. & Westlye, L. T. (2019). Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multi-sample diffusion tensor imaging study. bioRxiv.
https://doi.org/10.1101/607754

Ulrichsen, K. M., Alnæs, D., Kolskår, K. K., Richard, G., Sanders, A.-M., Dørum, E. S., Ihle-Hansen, H., Pedersen, M. L., Tornås, S., Nordvik, J. E. & Westlye, L. T. (2019). Dissecting the cognitive phenotype of post-stroke fatigue using drift diffusion modeling of sustained attention. biorxiv.
https://doi.org/10.1101/582502

Under trykking:doi: https://doi.org/10.1101/443549

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