Machine learning model predicts PTSD symptom severity over time
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after ...
Hosted on MSN2mon
fMRI neurofeedback shows promise for depression treatment
PTSD, and chronic pain. The process involves repeated training sessions, during which individuals practice and refine their ability to influence brain activity patterns. fMRI neurofeedback is non ...
EurekAlert!3y
Unique Patterns of Brain Activity Predict Treatment Responses in Patients with PTSD (1 of 2) (VIDEO)
Caption The video shows the fMRI connectivity of the brain's ventral attention network (VAN; red) in healthy individuals or patients with PTSD, whose fMRI connectivity and memory ability are ...
Baylor College of Medicine4y
Current fMRI Projects in the Core for Advanced Magnetic Resonance Imaging
Abdallah has expertise in antidepressants clinical trials, translational clinical neuroscience, multimodal neuroimaging, and the development of rapid acting antidepressant for the treatment of ...
Yale Environment 3608d
Machine learning model predicts PTSD symptom severity over time
Each of the 162 participants underwent fMRI scans one month after their experience ... Participants also underwent clinical assessments for PTSD severity at one month, six months, and 14 months after ...
EurekAlert!3y
Unique Patterns of Brain Activity Predict Treatment Responses in Patients with PTSD (2 of 2) (IMAGE)
Caption The image shows the fMRI connectivity of the brain's ventral attention network (VAN; red) in healthy individuals or patients with PTSD, whose fMRI connectivity and memory ability are ...