Literature DB >> 12411641

Anatomy of stroke, Part I: an MRI-based topographic and volumetric System of analysis.

V S Caviness1, N Makris, E Montinaro, N T Sahin, J F Bates, L Schwamm, D Caplan, D N Kennedy.   

Abstract

BACKGROUND AND
PURPOSE: The clinical diagnosis and treatment of stroke, as well as investigations into the underlying pathophysiology of the disease, hinge on inferences from the anatomy of the stroke lesion. We describe an MRI-based system of topographic and volumetric analysis that considers distribution of infarct with respect to neuroanatomic structures, superficial and deep perfusion compartments, and gray and white matter tissue types.
METHODS: MRI-based 3-dimensional topographic and volumetric analysis of presumed MCA embolic stroke was performed months after the acute event in 21 subjects ranging in age from 34 to 75 years.
RESULTS: The topography of infarction was greatly variable, with virtually all regions of the MCA territory involved in at least 1 stroke in the series. In 14, there was involvement of the M1 as well as the M2 through M4 territories; in 6, there was involvement of only the M2 through M4 territories; and in 2, there was involvement of only the M1 territory. The volumes varied from 3.1 to 256 cm3, corresponding approximately to a range of 1% to 90% of the total MCA territory.
CONCLUSIONS: The system of topographic and volumetric analysis is generally applicable to all strokes in the forebrain where the infarct is visualized in MRI, independent of vascular territory, clinical correlates, and interval between stroke and MRI. The results emphasize the variety of topographic patterns and lesion volumes of strokes. Intended long-range applications include correlation of outcome of stroke with predictions from acute-phase diffusion- and perfusion-weighted imaging and investigations of the potential benefit of therapeutic agents.

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Year:  2002        PMID: 12411641     DOI: 10.1161/01.str.0000036083.90045.08

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  21 in total

1.  Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain.

Authors:  Michel Bilello; Zhiqiang Lao; Jaroslaw Krejza; Argye E Hillis; Edward H Herskovits
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Review 2.  Magnetic resonance perfusion imaging in the study of language.

Authors:  Argye E Hillis
Journal:  Brain Lang       Date:  2006-06-06       Impact factor: 2.381

3.  Patterns of poststroke brain damage that predict speech production errors in apraxia of speech and aphasia dissociate.

Authors:  Alexandra Basilakos; Chris Rorden; Leonardo Bonilha; Dana Moser; Julius Fridriksson
Journal:  Stroke       Date:  2015-04-23       Impact factor: 7.914

4.  The superior precentral gyrus of the insula does not appear to be functionally specialized for articulation.

Authors:  Evelina Fedorenko; Paul Fillmore; Kimberly Smith; Leonardo Bonilha; Julius Fridriksson
Journal:  J Neurophysiol       Date:  2015-01-28       Impact factor: 2.714

5.  An evaluation of traditional and novel tools for lesion behavior mapping.

Authors:  Chris Rorden; Julius Fridriksson; Hans-Otto Karnath
Journal:  Neuroimage       Date:  2008-10-07       Impact factor: 6.556

Review 6.  Treatment for anomia in semantic dementia.

Authors:  Maya L Henry; Pélagie M Beeson; Steven Z Rapcsak
Journal:  Semin Speech Lang       Date:  2008-02       Impact factor: 1.761

7.  Distinguishing between anterior cerebral artery and middle cerebral artery perfusion by color-coded perfusion direction mapping with arterial spin labeling.

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Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

8.  Lesion analysis for cingulotomy and limbic leucotomy: comparison and correlation with clinical outcomes.

Authors:  Nikos Makris; Emad N Eskandar; Jimmy C Yang; Daniel T Ginat; Darin D Dougherty
Journal:  J Neurosurg       Date:  2013-11-15       Impact factor: 5.115

9.  Where (in the brain) do semantic errors come from?

Authors:  Lauren Cloutman; Rebecca Gottesman; Priyanka Chaudhry; Cameron Davis; Jonathan T Kleinman; Mikolaj Pawlak; Edward H Herskovits; Vijay Kannan; Andrew Lee; Melissa Newhart; Jennifer Heidler-Gary; Argye E Hillis
Journal:  Cortex       Date:  2008-11-12       Impact factor: 4.027

10.  Anterior temporal lobe connectivity correlates with functional outcome after aphasic stroke.

Authors:  Jane E Warren; Jennifer T Crinion; Matthew A Lambon Ralph; Richard J S Wise
Journal:  Brain       Date:  2009-12       Impact factor: 13.501

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