Magnetic resonance images that track developmental changes in a child’s brain may allow clinicians to predict future cognitive performance.
Brain MR images of children to demonstrate brain activity may predict future memory performance, according to an article published in the Journal of Neuroscience.
Having the ability to see activity changes that might predict cognitive development could allow clinicians to identify children at risk for developing developmental changes earlier than current testing methods allow.
Researchers from the Karolinska Institutet in Sweden collected and studied MRI data from 62 children and adolescents aged six to 20. The subjects completed working memory and reasoning tests and received multiple MRI scans to assess brain structure and changes in brain activity as they performed working memory tests. The subjects were evaluated with the same tests two years later.
The findings showed that while brain activity in the frontal cortex correlated with the children’s working memory at the time of the initial tests, activity in the basal ganglia and thalamus predicted how well children scored on the working memory tests two years later.
“Our results suggest that future cognitive development can be predicted from anatomical and functional information offered by MRI above and beyond that currently achieved by cognitive tests,” lead author Henrik Ullman, said in a release. “This has wide implications for understanding the neural mechanisms of cognitive development.”
This study is one of many being done in the field of predicting future cognitive capacity in development, Judy Iles, PhD, said in the same release.
“However, the appreciation of this important new knowledge is simpler than its application to everyday life,” said Iles, neuroethicist at the University of British Columbia, Canada “How a child performs today and tomorrow relies on multiple positive and negative life events that cannot be assessed by today’s technology alone.”
Enhancing Lesions on Breast MRI: Can an Updated Kaiser Scoring Model Improve Detection?
September 26th 2024The addition of parameters such as patient age, MIP sign and associated imaging features to the Kaiser score demonstrated a 95.6 percent AUC for breast cancer detection of enhancing lesions on breast MRI in recently published research.
MRI or Ultrasound for Evaluating Pelvic Endometriosis?: Seven Takeaways from a New Literature Review
September 13th 2024While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.