A comparison of voxel and surface based cortical thickness estimation methods

Clarkson, Matthew J.; Cardoso, M. Jorge; Ridgway, Gerard R.; Modat, Marc; Leung, Kelvin K.; Rohrer, Jonathan D.; Fox, Nick C.; Ourselin, Sébastien

doi:10.1016/j.neuroimage.2011.05.053

Cited by 171 publications

(154 citation statements)

References 68 publications

(125 reference statements)

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“…32 The amount of thinning observed in our patients (approximately 2%-5% in 6 months) is beyond reported atrophy rates for community-dwelling elderly 33 and comparable to the thickness decline in patients with Alzheimer disease. 34 In the current study, we found no association between remote changes in cortex or connecting fiber tracts and clinical outcome (supplementary results, table e-2). This might relate to several factors.…”

Section: Figure 4 Influence Of Infarct Cavitationcontrasting

confidence: 51%

Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts

et al. 2015

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Objective: To study remote effects distant from acute ischemic infarcts by measuring longitudinal changes of cortical thickness in connected brain regions as well as changes in microstructural integrity in connecting fiber tracts.Methods: Thirty-two patients (mean age 71 years) underwent a standardized protocol including multimodal MRI and clinical assessment both at stroke onset and 6 months after the event. Cortex connected to acute infarcts was identified by probabilistic diffusion tensor tractography starting from the acute lesion. Changes of cortical thickness were measured using the longitudinal stream of FreeSurfer. Microstructural damage in white matter tracts was assessed by changes of mean diffusivity. Results:We found focal cortical thinning specifically in areas connected to acute infarcts (p , 0.001). Thinning was more pronounced in regions showing a high probability of connectivity to infarcts. Microstructural damage in white matter tracts connecting acute infarcts with distant cortex significantly correlated with thickness changes in that region (r 5 20.39, p 5 0.028). There was no indication of an influence of cavitation status or infarct etiology on the observed changes in cortex and white matter.Conclusions: These findings identify secondary degeneration of connected white matter tracts and remote cortex as key features of acute ischemic infarcts. Our observations may have implications for the understanding of structural and functional reorganization after stroke. Remote cortical effects of acute infarcts critically contribute to functional reorganization after stroke and influence clinical outcome.1,2 We recently identified focal cortical thinning as a potential structural correlate of remote effects after ischemic lesions. In a small retrospective study on 9 patients with inherited small vessel disease, we showed that incident subcortical lacunes are associated with focal thinning in cortex connected to the infarct. 3,4 We attributed these findings to secondary cortical neurodegeneration following damage to the connecting subcortical fiber tracts. However, the study protocol and small sample size precluded a detailed assessment of these tracts and how changes in these tracts relate to changes in the connected cortex. Also, the results were obtained in a rare hereditary condition and were limited to a single infarct mechanism and to chronic, cavitating infarcts.In the current prospective, longitudinal study, we investigated the processes driving secondary neurodegeneration after acute infarcts. We measured changes of cortical thickness and microstructural integrity of connecting white matter tracts over a 6-month interval starting from stroke onset. We tested the following hypotheses: (1) cortical thinning in connected cortical regions is detectable within a few months after an acute infarct; (2) cortical thinning relates to *These authors contributed equally to this work.

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Section: Figure 4 Influence Of Infarct Cavitationcontrasting

confidence: 51%

Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts

et al. 2015

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“…We also evaluated correlations between DTI measures at different depths: there were generally high correlations between midcortical measurements and the deepest WM layer for FA (0.43), MD (0.63) and cPDD (0.33). Given that our DWI scans have a resolution of 3 mm and mean cortical thickness averages about 2.5 mm [43,44], there should have been minimal overlap between the measurements at these two depths. However, the two measurements will not be independent given the smoothness of the DWI images, digital filtering and residual joint misregistration.…”

Section: Resultsmentioning

confidence: 99%

Diffusion properties of cortical and pericortical tissue: regional variations, reliability and methodological issues

Kang

Herron

Turken

et al. 2012

Magnetic Resonance Imaging

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“…Moreover, it can assess these parameters of brain morphology and their contribution independ ently from each other and is not so sensitive to image registration as it computes the morphometric parameters in native space. [16][17][18] To the best of our knowledge, only 2 studies have used the SBA approach in OCD samples to study gyrification, volume, surface area and thickness at the same time. 19,20 Venkatasubramanian and colleagues 19 applied SBA by using the automatic FreeSurfer software and provided first evidence of altered volume, surface area and thickness in a number of different regions comprising the ACC, OFC and occipital cortex in medication-naive patients with OCD.…”

Section: J Psychiatry Neurosci 2017;42(6)mentioning

confidence: 99%

Structural alterations in patients with obsessive–compulsive disorder: a surface-based analysis of cortical volume, surface area and thickness

Rus

Reeß

Wagner

et al. 2017

JPN

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IntroductionStudying the brain anatomic structure offers a promising approach to improve our understanding of neural functional alter ations often encountered in individuals with psychiatric disorders. In those with obsessive-compulsive disorder (OCD), a psychiatric disorder with a 2%-3% lifetime prevalence 1 that causes strong impairment of daily life, findings up to now show disruptions on a functional and a structural neural level, mainly in a network including cortico-striatothalamo-cortical (CSTC) areas. Overall, these findings are rather inconsistent and limited by confounding factors, such as differences in clinical characteristics of the study sample or varying methodological approaches.Meta-analytic reviews showed that cortical areas, mainly the anterior cingulate cortex (ACC), orbitofrontal cortex (OFC) and parietofrontal regions, seem to be predominantly affected by grey matter volume deficits in patients with OCD, whereas the lenticular nuclei and thalamus were found to be characterized by increases in grey matter volume.2-4 A recent review article 5 confirmed these results and concluded that structural alterations in patients with OCD are widespread and occur most probably at a network level, with cortical tissue reductions and a tendency toward increases in grey matter volume of subcortical limbic areas. These subcortical tissue increases were also corroborated by a recent meta/mega-analysis of the ENIGMA OCD imaging consortium. 6 Additionally, this meta/mega-analysis showed that the neuroplasticity of specific areas depends on the age of the studied sample (i.e., smaller hippocampal but larger pallidum volumes were prominent in adults with OCD, whereas only larger thalamic volumes were specific for pediatric patients). Besides grey matter volume alterations in patients with OCD, significantly decreased grey matter thickness in partly overlapping areas (i.e., limbic, parietal and temporal areas) was also found in another recent mega-analysis. 7 It is Background: Mounting evidence indicates the presence of structural brain alterations in individuals with obsessive-compulsive disorder (OCD). Findings are, however, rather heterogeneous, which may be partly because of differences in methodological approaches or clinical sample characteristics. The aim of the present study was to analyze the whole brain cortical volume, surface area and thickness in a large sample of patients with OCD compared with age-and sex-matched healthy controls. Methods: We conducted whole brain surfacebased analyses of grey matter measures using the automated FreeSurfer software in patients with OCD and matched controls. Group analyses were performed and corrected for multiple testing using Monte Carlo simulations (p < 0.05). Altered brain regions and their average morphological values were associated to symptom severity and type (Yale-Brown Obsessive Compulsive Scale scores). Results:We included 75 patients and 75 controls in our analyses. Patients with OCD showed decreases in both volume and surface area compared with healthy ...

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A comparison of voxel and surface based cortical thickness estimation methods

Cited by 171 publications

References 68 publications

Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts

Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts

Diffusion properties of cortical and pericortical tissue: regional variations, reliability and methodological issues

Structural alterations in patients with obsessive–compulsive disorder: a surface-based analysis of cortical volume, surface area and thickness

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