Magnetic resonance imaging detects lower connectivity in the basal ganglia network among patients with early Parkinson’s disease.
Resting functional MRI of the basal ganglia network (BGN) detected lower connectivity in patients with early Parkinson’s disease, according to a study published in the journal Neurology.
Researchers from the U.K. undertook a study to examine functional connectivity between the BGN in cognitively normal patients who were diagnosed with early Parkinson’s disease and a group of sex-matched healthy controls.
A resting-state fMRI (RS-fMRI) was used to obtain a BGN template derived from the 80 subjects in the control group. Following this, “BGN maps were compared between 19 patients with PD on and off medication in the discovery group and 19 age- and sex-matched controls to identify a threshold for optimal group separation,” the authors wrote. “The threshold was applied to 13 patients with PD (including five drug-naive) in the validation group to establish reproducibility of findings.”
The researchers found that the patients with Parkinson’s disease showed reduced functional connectivity with the BGN compared with the controls, however, medication significantly improved the connectivity. “Average BGN connectivity differentiated participants with PD from controls with 100 percent sensitivity and 89.5 percent specificity.”
A second group comprising 13 patients with early-stage Parkinson's disease had similar findings. The researchers correctly identified 11 out of the 13 patients (85 percent accuracy).
“By using a new, simple scanning technique the team at Oxford University has been able to study levels of activity in the brain which may suggest that Parkinson's is present,” Claire Bale, Research Communications Manager at Parkinson's UK, said in a release.
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.