With this task, subjects were instructed to perform two specific autobiographical memory recalls of a neutral (scan 1) and sad (scan 2) emotional event – the latter inducing significant and specific changes in their subjective mood state compared to the neutral condition.
Initially, reference time courses were extracted from the neutral and sad recall condition scans for each subject, for each seed ROI.
Three randomly selected "happy" and "sad" trials from each scanning run were scored, and average scores for "happy", "sad", and "happy&sad" were obtained for each subject.
The brain scans are matched against a database of 10,000 brain scans labeled "happy" or "sad" and then use standard speech recognition techniques to classify the user brain scan as either "happy" or "sad".
The lawyer representing Great Ormond Street says the new scan makes for "sad reading".
21 July: Lawyer representing Great Ormond Street says Charlie's new scan makes for "sad reading".
21 July - Lawyer representing Great Ormond Street says Charlie's new scan makes for "sad reading" 27 July - A judge rules that Charlie will be moved to a hospice to spend his final hours before the ventilator that keeps him alive is switched off.
We further compared the translation and rotation estimates (x, y, z) from both scans (neutral and sad recall conditions) using repeated measures analysis of variance (ANOVAs) to ensure equivalent data quality.
During scanning, subjects viewed happy, sad and neutral face expressions in the following conditions: emotion recognition, empathizing with emotion, and a control condition of simple object detection.
His plastic colon and the MRI scans fill out the sad picture of a gut gone haywire.
Forty-four subjects, half depressed patients and half healthy subjects, were recruited for MEG scanning whilst watching a video of sad faces.
