Joonas J. Juvonen
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View article: Low-dimensional brain-symptom associations delineate depression phenotypes with distinct connectivity biomarkers and symptom profiles
Low-dimensional brain-symptom associations delineate depression phenotypes with distinct connectivity biomarkers and symptom profiles Open
Depression is neurobiologically and clinically heterogeneous. New approaches using resting-state functional MRI (rs-fMRI) functional connectivity (FC) data have modeled the neural basis of depression heterogeneity and revealed unique neura…
View article: Patients prefer easy adverse event reporting: Observational study within clinical trial
Patients prefer easy adverse event reporting: Observational study within clinical trial Open
Background Digital intervention safety is crucial for regulatory approval and clinical adoption. However, the evaluation and reporting of adverse events (AEs) in clinical trials are often insufficient. Digital qualitative self-reporting co…
View article: Game-Based Digital Intervention for Neurocognitive Training in Major Depressive Disorder: A Randomized Double-Blinded Comparator-Controlled Clinical Trial
Game-Based Digital Intervention for Neurocognitive Training in Major Depressive Disorder: A Randomized Double-Blinded Comparator-Controlled Clinical Trial Open
View article: Local and interareal alpha and low-beta band oscillation dynamics underlie the bilateral field advantage in visual working memory
Local and interareal alpha and low-beta band oscillation dynamics underlie the bilateral field advantage in visual working memory Open
Visual working memory has a limited maximum capacity, which can be larger if stimuli are presented bilaterally vs. unilaterally. However, the neuronal mechanisms underlying this bilateral field advantage are not known. Visual working memor…
View article: Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture
Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture Open
View article: Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture
Rhythmicity of neuronal oscillations delineates their cortical and spectral architecture Open
Neuronal oscillations are commonly analyzed with power spectral methods that quantify signal amplitude, but not rhythmicity or "oscillatoriness" per se . Here we introduce a new method, the phase-autocorrelation functon(pACF), for direct q…
View article: Discovering rhythmicity of neuronal oscillations
Discovering rhythmicity of neuronal oscillations Open
Neuronal oscillations are commonly analyzed with power spectral methods that quantify signal amplitude, but not rhythmicity or "oscillatoriness" per se . Here we introduce a new method, the phase-autocorrelation functon(pACF), for direct q…