MRI Predicts Long-Term Recovery Following Cardiac Arrest
By MedImaging International staff writers Posted on 30 Oct 2017 |
Image: Functional MRI scan shows 10 large-scale brain networks (Photo courtesy of Wikimedia).
Magnetic resonance imaging (MRI) measures of cerebral functional connectivity measured within four weeks of cardiac arrest (CA) are associated with a favorable outcome at one year, according to a new study.
Researchers at Johns Hopkins University School of Medicine (JHU-SOM; Baltimore, MD, USA), Pitie-Salpetriere Hospital (Paris, France), and other institutions conducted a prospective multicenter study of 46 patients who were comatose after CA in order to assess whether early brain functional connectivity is associated with functional recovery after one year. All participants underwent multiparametric structural and functional MRI about 12 days after CA. Within-network and between-network connectivity was measured in the dorsal attention network (DAN), default-mode network (DMN), salience network (SN), and executive control network (ECN).
The results showed that 11 of the patients had a favorable outcome at one year. Higher within-network DMN connectivity was seen for patients with a favorable outcome, who also had greater anti-correlation between SN and DMN, and between SN and executive control network, when compared with patients with unfavorable outcome; the effect was maintained after adjustment for multiple variables. Compared with fluid-attenuated inversion recovery or diffusion-weighted imaging scores, anti-correlation of SN-DMN predicted outcomes with higher accuracy. The study was published on October 18, 2017, in Radiology.
“Magnetic resonance imaging-based measures of cerebral functional network connectivity obtained in the acute phase of cardiac arrest were independently associated with favorable outcome at one year, warranting validation as early markers of long-term recovery potential in patients with anoxic-ischemic encephalopathy, concluded lead author Haris Sair, MD, and colleagues.
The set of identified brain areas that are linked together in a large-scale network are identified by their function, and provide a coherent framework for understanding cognition. Main networks identified include the DAN, involved in voluntary deployment of attention and reorientation to unexpected events; the DMN, active during introspection; the SN monitors the salience of external inputs and internal brain events; and the ECN is engaged during cognitive tasks that require externally-directed attention, such as working memory, relational integration, response inhibition, and task-set switching.
Related Links:
Johns Hopkins University School of Medicine
Pitie-Salpetriere Hospital
Researchers at Johns Hopkins University School of Medicine (JHU-SOM; Baltimore, MD, USA), Pitie-Salpetriere Hospital (Paris, France), and other institutions conducted a prospective multicenter study of 46 patients who were comatose after CA in order to assess whether early brain functional connectivity is associated with functional recovery after one year. All participants underwent multiparametric structural and functional MRI about 12 days after CA. Within-network and between-network connectivity was measured in the dorsal attention network (DAN), default-mode network (DMN), salience network (SN), and executive control network (ECN).
The results showed that 11 of the patients had a favorable outcome at one year. Higher within-network DMN connectivity was seen for patients with a favorable outcome, who also had greater anti-correlation between SN and DMN, and between SN and executive control network, when compared with patients with unfavorable outcome; the effect was maintained after adjustment for multiple variables. Compared with fluid-attenuated inversion recovery or diffusion-weighted imaging scores, anti-correlation of SN-DMN predicted outcomes with higher accuracy. The study was published on October 18, 2017, in Radiology.
“Magnetic resonance imaging-based measures of cerebral functional network connectivity obtained in the acute phase of cardiac arrest were independently associated with favorable outcome at one year, warranting validation as early markers of long-term recovery potential in patients with anoxic-ischemic encephalopathy, concluded lead author Haris Sair, MD, and colleagues.
The set of identified brain areas that are linked together in a large-scale network are identified by their function, and provide a coherent framework for understanding cognition. Main networks identified include the DAN, involved in voluntary deployment of attention and reorientation to unexpected events; the DMN, active during introspection; the SN monitors the salience of external inputs and internal brain events; and the ECN is engaged during cognitive tasks that require externally-directed attention, such as working memory, relational integration, response inhibition, and task-set switching.
Related Links:
Johns Hopkins University School of Medicine
Pitie-Salpetriere Hospital
Latest MRI News
- World's First Sensor Detects Errors in MRI Scans Using Laser Light and Gas
- Diamond Dust Could Offer New Contrast Agent Option for Future MRI Scans
- Combining MRI with PSA Testing Improves Clinical Outcomes for Prostate Cancer Patients
- PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
- Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
- Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
- World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity
- New Whole-Body Imaging Technology Makes It Possible to View Inflammation on MRI Scan
- Combining Prostate MRI with Blood Test Can Avoid Unnecessary Prostate Biopsies
- New Treatment Combines MRI and Ultrasound to Control Prostate Cancer without Serious Side Effects
- MRI Improves Diagnosis and Treatment of Prostate Cancer
- Combined PET-MRI Scan Improves Treatment for Early Breast Cancer Patients
- 4D MRI Could Improve Clinical Assessment of Heart Blood Flow Abnormalities
- MRI-Guided Focused Ultrasound Therapy Shows Promise in Treating Prostate Cancer
- AI-Based MRI Tool Outperforms Current Brain Tumor Diagnosis Methods
- DW-MRI Lights up Small Ovarian Lesions like Light Bulbs