PS244. Depression severity and related characteristics correlate significantly with activation in brain areas selected through machine learning

Antzeko izenburuak

• Identification of depression subtypes and relevant brain regions using a data-driven approach
  nork: Tokuda, Tomoki, et al.
  Argitaratua: (2018)
• Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression.
  nork: Kosuke Yoshida, et al.
  Argitaratua: (2017-01-01)
• Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression
  nork: Yoshida, Kosuke, et al.
  Argitaratua: (2017)
• Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
  nork: Tokuda, Tomoki, et al.
  Argitaratua: (2017)
• Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO.
  nork: Yu Shimizu, et al.
  Argitaratua: (2015-01-01)