Author

Lilly Schwieler

Karolinska Institutet

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

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 Göran EngbergiD· 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

Kynurenic acid promotes activity-dependent synaptic pruning in schizophrenia

Funda Orhan, Susmita Malwade, Neda Khanlarkhani, Asimenia Gkoga, Oscar Jungholm, Marja Koskuvi, Šárka Lehtonen, Lilly Schwieler, Kent E. Jardemark, Jari Tiihonen, Jari Koıstınaho, Sophie Erhardt, Göran Engberg, Samudyata Samudyata, 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.

bioRxiv · Oct 19, 2023 · PreprintNeuroscience

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