Conclusion:
LSN analysis revealed that interconnectivity patterns of brain regions can be used to classify subjects with AD, those with aMCI, and CN subjects. In addition, the altered connectivity networks were significantly correlated with the results of cognitive tests.
© RSNA, 2011
Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100734/-/DC1 (Source: Continuous Publishing articles)
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Posts Tagged ‘Disease’
Classification of Alzheimer Disease, Mild Cognitive Impairment, and Normal Cognitive Status with Large-Scale Network Analysis Based on Resting-State Functional MR Imaging [Neuroradiology]
Clinical Pathology Laboratory Manager Is Sued for Manufacturing a Fake Lab Test Report for a Sexually-Transmitted Disease
Ex-employee of Quest Diagnostics allegedly also breached patient privacy laws By manufacturing a fake positive clinical pathology laboratory test report for a sexually transmitted disease (STD), a medical laboratory manager in Alton, Illinois, set in motion a series of events that made headlines in St. Louis-area newspapers earlier this year. These actions also generated a [...]
Starker Fellowship for White Matter Disease Clinical Research
Application Deadline: February 1, 2011
Jacob's Cure is pleased to announce a two-year Clinical Research Training Fellowship to support research into the cause, treatment, or cure of white matter or neurodegenerative disease. The fellowship is designed to support the development and training of new independent investigators in the field of leukodystrophies.
The award will consist of a [...]
Chemoembolization Follow-up of Hepatocellular Carcinoma with MR Imaging: Usefulness of Evaluating Enhancement Features on One-month Posttherapy MR Imaging for Predicting Residual Disease
Conclusions: This investigation shows high accuracy for using tumor enhancement features on 1-month posttherapy MR imaging to predict residual disease after chemoembolization of HCC. (Source: Journal of Vascular and Interventional Radiology : JVIR)
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