Patient in vegetative state plays mental tennis
The 23-year-old patient, who suffered from injuries arising from a traffic accident, was asked to imagine playing tennis and walking around her house. The tennis request elicited activity in the supplementary motor area, while the house tour activated the parahippocampal gyrus, the posterior parietal cortex, and the lateral premotor cortex.
An unconscious and outwardly unresponsive patient apparently was capable of understanding and responding to certain commands as measured by functional MRI.
The 23-year-old patient, who suffered from injuries arising from a traffic accident, was asked to imagine playing tennis and walking around her house. The tennis request elicited activity in the supplementary motor area, while the house tour activated the parahippocampal gyrus, the posterior parietal cortex, and the lateral premotor cortex. Her brain activity matched that of 12 controls (Science 2006:313:1402).
The results represent a clear act of intention, according to Dr. Adrian Owen of Cambridge University, "which confirmed beyond any doubt that she was consciously aware of herself and her surroundings."
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.
