ArticleNeuroImage. Clinical2015
Cortical thickness estimation in longitudinal stroke studies: A comparison of 3 measurement methods.
Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Structural plasticity of remote cortical brain regions is determined by connectivity to the primary lesion in subcortical stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015Trial
- Rostral anterior cingulate cortex is a structural correlate of repetitive TMS treatment response in depression.Brain stimulationTrial
- The critical role of the orbitofrontal cortex for regret in an economic decision-making task.Brain structure & function · 2022Article
- Dissecting central post-stroke pain: a controlled symptom-psychophysical characterization.Brain communications · 2022Article
- Relationship Between Cortical Excitability Changes and Cortical Thickness in Subcortical Chronic Stroke.Frontiers in neurology · 2022Article
- The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.Human brain mapping · 2022Review
- Influence of Processing Pipeline on Cortical Thickness Measurement.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Age of acquisition impacts the brain differently depending on neuroanatomical metric.Human brain mapping · 2020Article
- Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions.Frontiers in neuroscience · 2020Article
- Examining the identification of age-related atrophy between T1 and T1 + T2-FLAIR cortical thickness measurements.Scientific reports · 2019Article
- Cortical thickness and cognitive performance in asymptomatic unilateral carotid artery stenosis.BMC cardiovascular disorders · 2019Article
- Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques.NeuroImage. Clinical · 2019Article
- The Post Ischaemic Stroke Cardiovascular Exercise Study: Protocol for a randomised controlled trial of fitness training for brain health.European stroke journal · 2018Article
- Article
- Reproducibility of quantitative structural and physiological MRI measurements.Brain and behavior · 2017Article
- Article
- Relationship between white matter connectivity loss and cortical thinning in cerebral amyloid angiopathy.Human brain mapping · 2017Article
- Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.NeuroImage · 2017Article
- Hemispheric asymmetry in myelin after stroke is related to motor impairment and function.NeuroImage. Clinical · 2017Article
- Assessing neuronal density in peri-infarct cortex with PET: Effects of cortical topology and partial volume correction.Human brain mapping · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is considerable controversy about the causes of cognitive decline after stroke, with evidence for both the absence and coexistence of Alzheimer pathology. A reduction in cortical thickness has been shown to be an important biomarker for the progression of many neurodegenerative diseases, including Alzheimer's disease (AD). However, brain volume changes following stroke are not well described. Cortical thickness estimation presents an ideal way to detect regional and global post-stroke brain atrophy. In this study, we imaged a group of patients in the first month after stroke and at 3 months. We compared three methods of estimating cortical thickness on unmasked images: one surface-based (FreeSurfer) and two voxel-based methods (a Laplacian method and a registration method, DiRecT). We used three benchmarks for our analyses: accuracy of segmentation (especially peri-lesional performance), reproducibility, and biological validity. We found important differences between these methods in cortical thickness values and performance in high curvature areas and peri-lesional regions, but similar reproducibility metrics. FreeSurfer had less reliance on manual boundary correction than the other two methods, while reproducibility was highest in the Laplacian method. A discussion of the caveats for each method and recommendations for use in a stroke population is included. We conclude that both surface- and voxel-based methods are valid for estimating cortical thickness in stroke populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.