Brain Connectivity Measures Improve Modeling of Functional Outcome After Acute Ischemic Stroke
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Title
Brain Connectivity Measures Improve Modeling of Functional Outcome After Acute Ischemic Stroke
Authors
Keywords
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Journal
STROKE
Volume 50, Issue 10, Pages 2761-2767
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2019-09-12
DOI
10.1161/strokeaha.119.025738
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Note: Only part of the references are listed.- White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study
- (2019) Markus D. Schirmer et al. NeuroImage-Clinical
- Measuring functional connectivity in stroke: Approaches and considerations
- (2017) Joshua S Siegel et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Integrity of normal-appearing white matter and functional outcomes after acute ischemic stroke
- (2017) Mark R. Etherton et al. NEUROLOGY
- Brain networks under attack: robustness properties and the impact of lesions
- (2016) Hannelore Aerts et al. BRAIN
- The effects of hemodynamic lag on functional connectivity and behavior after stroke
- (2016) Joshua S Siegel et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Post-stroke cognitive impairment is common even after successful clinical recovery
- (2015) H. Jokinen et al. EUROPEAN JOURNAL OF NEUROLOGY
- The connectomics of brain disorders
- (2015) Alex Fornito et al. NATURE REVIEWS NEUROSCIENCE
- Role of Acute Lesion Topography in Initial Ischemic Stroke Severity and Long-Term Functional Outcomes
- (2015) Ona Wu et al. STROKE
- Stroke Location Is an Independent Predictor of Cognitive Outcome
- (2015) Fanny Munsch et al. STROKE
- The hubs of the human connectome are generally implicated in the anatomy of brain disorders
- (2014) Nicolas A. Crossley et al. BRAIN
- Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience
- (2013) Jonas Richiardi et al. IEEE SIGNAL PROCESSING MAGAZINE
- Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010
- (2013) Valery L Feigin et al. LANCET
- Cognitive relevance of the community structure of the human brain functional coactivation network
- (2013) N. A. Crossley et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain
- (2013) X. Liang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Abnormal Rich Club Organization and Functional Brain Dynamics in Schizophrenia
- (2013) Martijn P. van den Heuvel et al. JAMA Psychiatry
- Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans
- (2012) Anne K. Rehme et al. JOURNAL OF PHYSIOLOGY-LONDON
- High-cost, high-capacity backbone for global brain communication
- (2012) M. P. van den Heuvel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Initial Lesion Volume Is an Independent Predictor of Clinical Stroke Outcome at Day 90
- (2012) Gerhard Vogt et al. STROKE
- Rich-Club Organization of the Human Connectome
- (2011) M. P. van den Heuvel et al. JOURNAL OF NEUROSCIENCE
- Longitudinal Changes of Resting-State Functional Connectivity During Motor Recovery After Stroke
- (2011) Chang-hyun Park et al. STROKE
- Dynamic functional reorganization of the motor execution network after stroke
- (2010) Liang Wang et al. BRAIN
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A reproducible evaluation of ANTs similarity metric performance in brain image registration
- (2010) Brian B. Avants et al. NEUROIMAGE
- Complex network measures of brain connectivity: Uses and interpretations
- (2009) Mikail Rubinov et al. NEUROIMAGE
- Bayesian analysis of neuroimaging data in FSL
- (2008) Mark W. Woolrich et al. NEUROIMAGE
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