• Alterations in schizophrenia-associated genes can lead to increased power in delta oscillations 

      Mäki-Marttunen, Tuomo; Krull, Florian; Bettella, Francesco; Hagen, Espen; Næss, Solveig; Ness, Torbjørn V; Moberget, Torgeir; Elvsåshagen, Torbjørn; Metzner, Christoph; Devor, Anna; Edwards, Andrew G.; Fyhn, Marianne; Djurovic, Srdjan; Dale, Anders; Andreassen, Ole Andreas; Einevoll, Gaute (Peer reviewed; Journal article, 2019)
    • Biophysical Modeling of EEG Signals from Neurons in the Brain 

      Næss, Solveig (Master thesis, 2015-07-08)
      In order to understand the link between brain signal recordings, such as electrocorticography (ECoG) and electroencephalography (EEG), and the undellying neural activity, neuroinformatics tools play an important role. A ...
    • Biophysical Psychiatry—How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders. 

      Mäki-Marttunen, Tuomo; Kaufmann, Tobias; Elvsåshagen, Torbjørn; Devor, Anna; Djurovic, Srdjan; Westlye, Lars Tjelta; Linne, Marja-Leena; Rietschel, Marcella; Schubert, Dirk; Borgwardt, Stefan; Efrim-Budisteanu, Magdalena; Bettella, Francesco; Halnes, Geir; Hagen, Espen; Næss, Solveig; Ness, Torbjørn V; Moberget, Torgeir; Metzner, Christoph; Edwards, Andrew G.; Fyhn, Marianne; Dale, Anders M.; Einevoll, Gaute T.; Andreassen, Ole Andreas (Peer reviewed; Journal article, 2019)
      The brain is the most complex of human organs, and the pathophysiology underlying abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid development of diagnostic tools and treatments in ...
    • Biophysically detailed forward modeling of the neural origin of EEG and MEG signals 

      Næss, Solveig; Halnes, Geir; Hagen, Espen; Hagler, Donald J.; Dale, Anders M.; Einevoll, Gaute; Ness, Torbjørn Vefferstad (Peer reviewed; Journal article, 2021)
      Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain. These signals are known to originate from cortical ...
    • Corrected four-sphere head model for eeg signals 

      Næss, Solveig; Chintaluri, Chaitanya; Ness, Torbjørn Vefferstad; Dale, Anders; Einevoll, Gaute; Wójcik, Daniel K. (Journal article; Peer reviewed, 2017)
    • Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0 

      Hagen, Espen; Næss, Solveig; Ness, Torbjørn V; Einevoll, Gaute (Journal article; Peer reviewed, 2018)
      Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The interpretation of such signals is however nontrivial, as the ...