Author

Karin Collste

Karolinska InstitutetORCID 0000-0002-1908-3323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Lars FardeiD· 3 shared Simon ČervenkaiD· 3 shared Anna Malmqvist· 2 shared Carl M. SellgreniD· 2 shared Dag AlnæsiD· 2 shared Deanna M. BarchiD· 2 shared Dennis van der MeeriD· 2 shared Erik Gunnar JönssoniD· 2 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Lars FardeORCID

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3 papers

Recent·Most cited

The genetic architecture of human brainstem structures and their involvement in common brain disorders

Torbjørn Elvsåshagen, Shahram Bahrami, Dennis van der Meer, Ingrid Agartz, Dag Alnæs, Deanna M. Barch, Ramona Baur‐Streubel, Alessandro Bertolino, Mona Kristiansen Beyer, Giuseppe Blasi, Stefan Borgwardt, Birgitte Boye, Jan K. Buitelaar, Erlend Bøen, Elisabeth Gulowsen Celius, , Tobias Kaufmann

The paper identifies genetic loci associated with brainstem volumes and finds genetic overlaps with psychiatric and neurological disorders.

Nature Communications · Aug 11, 2020Peer-reviewedNeuroscience

Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multi-sample diffusion tensor imaging study

Siren Tønnesen, Tobias Kaufmann, Ann‐Marie G. de Lange, Geneviève Richard, Nhat Trung Doan, Dag Alnæs, Dennis van der Meer, Jaroslav Rokicki, Torgeir Moberget, Ivan I. Maximov, Ingrid Agartz, Sofie Ragnhild Aminoff, Dani Beck, Deanna M. Barch, Justyna Bereśniewicz, , Lars Tjelta Westlye

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging · Jul 7, 2020Peer-reviewedNeuroscience

Accuracy and reliability of PBR28 specific binding estimated without the use of a reference region

Pontus Plavén‐Sigray, Martin Schain, Francesca Zanderigo, Lars Farde, Christer Halldin, Anton Forsberg, Andrea Varrone, Aurelija Jučaitė, Simon Červenka, Per Stenkrona, Karin Collste, Mats Lekander, Eva Kosek, Jon Lampa, Caroline Olgart Höglund, , Robert Todd Ogden

This study evaluates the accuracy and reliability of specific binding estimates for [11C]PBR28 using the SIME method, showing good precision and reliability for VS but variability in BPND.

NeuroImage · Nov 27, 2018Peer-reviewedNeuroscience