Author

Göran Engberg

Karolinska InstitutetORCID 0000-0003-1659-5232Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Carl M. SellgreniD· 3 shared Funda OrhaniD· 3 shared Lilly Schwieler· 3 shared Sophie ErhardtiD· 3 shared Anna Malmqvist· 2 shared Dag AlnæsiD· 2 shared Deanna M. BarchiD· 2 shared Dennis van der MeeriD· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Carl M. SellgrenORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintOct 19, 2023

Kynurenic acid promotes activity-dependent synaptic pruning in schizophrenia

Funda Orhan, Susmita Malwade, Neda Khanlarkhani…·Carl M. Sellgren

This study shows that kynurenic acid promotes microglia-mediated synaptic pruning in schizophrenia by reducing neuronal activity and linking genetic risk variants to KYNA production.

5 citations

humanbulk RNA-seq

𝕏 PostBluesky

NeuroscienceNature CommunicationsPeer-reviewedAug 11, 2020

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

Torbjørn Elvsåshagen, Shahram Bahrami, Dennis van der Meer…·Tobias Kaufmann

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

44 citations

humanimaging

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NeuroscienceBiological Psychiatry Cognitive Neuroscience and NeuroimagingPeer-reviewedJul 7, 2020

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…·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.

66 citations

humanimaging

𝕏 PostBluesky