The Effect of Preprocessing Pipelines in Subject Classification and Detection of Abnormal Resting State Functional Network Connectivity using Group ICA

Lignende værker

• Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy
  af: Vergara, Victor M., et al.
  Udgivet: (2017)
• The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury
  af: Vergara, Victor M., et al.
  Udgivet: (2017)
• Alterations of Resting State Functional Network Connectivity in the Brain of Nicotine and Alcohol Users
  af: Vergara, Victor M., et al.
  Udgivet: (2016)
• Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
  af: Rashid, Barnaly, et al.
  Udgivet: (2014)
• CLASSIFICATION OF SCHIZOPHRENIA AND BIPOLAR PATIENTS USING STATIC AND DYNAMIC RESTING-STATE FMRI BRAIN CONNECTIVITY
  af: Rashid, Barnaly, et al.
  Udgivet: (2016)