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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Background: The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex ...