The new insights into human brain imaging after stroke. Issue 5 (9th September 2019)

• Record Type: Journal Article
• Authors: Sagnier, Sharmila; Sibon, Igor
• Other Names: Chanraud Sandra guestEditor.; Badaut Jerome guestEditor.
• Is Part Of: Journal of neuroscience research. Volume 100:Issue 5(2022)
• Page Start: 1171
• Page End: 1181
• Publication Date: 2019-09-09
• Subjects: brain atrophy -- brain iron accumulation -- cerebral cortical microinfarcts -- cognition -- diffusion tensor imaging -- lesion location -- outcome -- perfusion‐weighted imaging; Neurobiology -- Periodicals; 612
• DOI: 10.1002/jnr.24525
• Languages: English
• ISSNs: 0360-4012

Abstract

Abstract: Over the last two decades, developments of human brain stroke imaging have raised several questions about the place of new MRI biomarkers in the acute management of stroke and the prediction of poststroke outcome. Recent studies have demonstrated the main role of perfusion‐weighted imaging in the identification of the best cerebral perfusion profile for a better response after reperfusion therapies in acute ischemic stroke. A major issue remains the early prediction of stroke outcome. While voxel‐based lesion‐symptom mapping emphasized the influence of stroke location, the analysis of the brain parenchyma underpinning the stroke lesion showed the relevance of prestroke cerebral status, including cortical atrophy, white matter integrity, or presence of chronic cortical cerebral microinfarcts. Moreover, besides the evaluation of the visually abnormal brain tissue, the analysis of normal‐appearing brain parenchyma using diffusion tensor imaging and magnetization transfer imaging or spectroscopy offered new biomarkers to improve the prediction of the prognosis and new targets to follow in therapeutic trials. The aim of this review was to depict the main new radiological biomarkers reported in the last two decades that will provide a more thorough prediction of functional, motor, and neuropsychological outcome following the stroke. These new developments in neuroimaging might be a cornerstone in the emerging personalized medicine for stroke patients.