Author

Einar August Høgestøl

Oslo University HospitalORCID 0000-0001-8446-2111Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 7 Assay:imaging· 6 Research Focus:differential expression· 4 Approach:statistical model· 4 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:multiome· 2

Frequent Co-Authors

Hanne Flinstad HarboiD· 6 shared Lars Tjelta WestlyeiD· 6 shared Mona Kristiansen BeyeriD· 5 shared Ole A. AndreasseniD· 5 shared Tobias KaufmanniD· 5 shared Dag AlnæsiD· 4 shared Elisabeth Gulowsen CeliusiD· 4 shared Gro Owren NygaardiD· 4 shared

Activity by Year

2019-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

6 shared papersNeuroscience

Hanne Flinstad HarboORCID

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Thalamic Nuclei Volumes Across Psychiatric and Neurological Disorders: A Multi-Site Magnetic Resonance Imaging Study

Verónica Mäki-Marttunen, Stener Nerland, Kjetil Nordbø Jørgensen, Einar August Høgestøl, Jaroslav Rokicki, Dag Alnæs, Stefan Borgwardt, B. Boye, Jan K. Buitelaar, Erlend Bøen, Simon Červenka, Annette Conzelmann, Sophie Erhardt, Barbara Franke, Elisabeth Gulowsen Celius, , Torbjørn Elvsåshagen

This study compares thalamic nucleus volumes across multiple psychiatric and neurological disorders using MRI, finding significant volume reductions in specific regions associated with different conditions.

Translational Psychiatry · May 13, 2026Peer-reviewedNeuroscience

Multiscale networks in multiple sclerosis

Keith Kennedy, Nicole Kerlero de Rosbo, Antonio Uccelli, Maria Cellerino, Federico Ivaldi, Paola Contini, Raffaele De Palma, Hanne Flinstad Harbo, Tone Berge, Steffan D. Bos, Einar August Høgestøl, Synne Brune, Sigrid A. de Rodez Benavent, Friedemann Paul, Alexander Ulrich Brandt, , Pablo Villoslada

The paper uses multilayer network analysis and multi-omics data to identify biological pathways in MS that explain disease severity and central nervous system damage.

PLoS Computational Biology · Feb 8, 2024Peer-reviewedSystems Biology

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

Genetics of brain age suggest an overlap with common brain disorders

Tobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, Emanuel Schwarz, Martina Jonette Lund, Ingrid Agartz, Dag Alnæs, Deanna M. Barch, Ramona Baur‐Streubel, Alessandro Bertolino, Francesco Bettella, Mona Kristiansen Beyer, Erlend Bøen, Stefan Borgwardt, Christine Lycke Brandt, , Neurocognition and Genetics Study for the Pediatric Imaging

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

Nature Neuroscience · Sep 24, 2019Peer-reviewedNeuroscience

Brain age estimation is a sensitive marker of processing speed in the early course of multiple sclerosis

Einar August Høgestøl, Gro Owren Nygaard, Petter Espeseth Emhjellen, Tobias Kaufmann, Mona Kristiansen Beyer, Piotr Sowa, Ole A. Andreassen, Elisabeth Gulowsen Celius, Nils Inge Landrø, Lars Tjelta Westlye, Hanne Flinstad Harbo

This study shows that brain age gap from MRI correlates with processing speed in early multiple sclerosis.

bioRxiv · May 29, 2019 · PreprintNeuroscience

Cross-sectional and longitudinal brain scans reveal accelerated brain aging in multiple sclerosis

Einar August Høgestøl, Tobias Kaufmann, Gro Owren Nygaard, Mona Kristiansen Beyer, Piotr Sowa, Jan Egil Nordvik, Knut K. Kolskår, Geneviève Richard, Ole A. Andreassen, Hanne Flinstad Harbo, Lars Tjelta Westlye

This study finds that multiple sclerosis patients have higher brain age gaps and accelerated brain aging rates compared to healthy controls using MRI and machine learning.

Frontiers in Neurology · Apr 30, 2019Peer-reviewedNeuroscience

Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis

Einar August Høgestøl, Gro Owren Nygaard, Dag Alnæs, Mona Kristiansen Beyer, Lars Tjelta Westlye, Hanne Flinstad Harbo

This study links fatigue and depression symptoms in MS patients to altered default mode network connectivity using rs-fMRI and PCA.

PLoS ONE · Apr 1, 2019Peer-reviewedNeuroscience