Sulcal morphology as a new imaging marker for the diagnosis of early onset Alzheimer's disease

Hamelin, Louis‐Edmond; Bertoux, Maxime; Bottlaender, Michel; Corne, Hélène; Lagarde, Julien; Hahn, Valérie; Mangin, Jean‐François; Dubois, Bruno; Chupin, Marie; Souza, Leonardo Cruz de; Colliot, Olivier; Sarazin, Marie

doi:10.1016/j.neurobiolaging.2015.04.019

Cited by 42 publications

(31 citation statements)

References 43 publications

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“…On magnetic resonance imaging (MRI), EOAD shows greater neocortical atrophy, particularly in parietal cortex, with less atrophy in the mesial temporal lobe (MTL) 27,28 . MRI shows larger sulcal widths in the temporoparietal cortex among EOAD patients with preserved hippocampal volumes relative to LOAD 29 . Resting state fluorodeoxy glucose (FDG) positron emission tomography (PET), shows greater parietal hypometabolism, worse on the left in one study 30 , in EOAD compared to greater bilateral temporal hypometabolism in LOAD 15 .…”

Section: Introductionmentioning

confidence: 89%

Early-Onset Alzheimer Disease

2017

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SYNOPSIS Early-onset Alzheimer’s disease (EOAD) with onset <65 years of age, while overshadowed by the more common late-onset AD (LOAD), differs significantly from LOAD. EOAD comprises about 5% of AD and is associated with delays in diagnosis, an aggressive course, and age-related psychosocial needs. One source of confusion is that a substantial percentage of EOAD are phenotypic variants that differ from the usual memory-disordered presentation of typical AD. Patients with EOAD overall have greater parietal atrophy, more white matter abnormalities, and less hippocampal volume loss, compared to those with LOAD. The phenotypic variants also have atrophy and white matter changes corresponding anatomically to the cognitive changes and appear to involve alternate neural networks relative to typical AD. The management of EOAD is similar to that for LOAD but special emphasis should be placed on targeting the specific cognitive areas involved and more age-appropriate psychosocial support and education.

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Section: Introductionmentioning

confidence: 89%

Early-Onset Alzheimer Disease

2017

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“…Despite conflicting results, findings suggest that sulcal morphology analysis provides insights into the structural brain changes in AD (Cai et al 2017;Im et al 2008;Liu et al 2008;Reiner et al 2012). To our knowledge, only one study based the inclusion of patients and controls on biological evidences of AD (Hamelin et al 2015). In that study, we showed that sulcal width measures improved the diagnosis of early-onset AD.…”

Section: Introductionmentioning

confidence: 96%

“…Beyond these approaches, measuring the morphology of sulcal cortical folds using three-dimensional processing techniques has been recently proposed as a novel approach to investigate the morphology of the cortical surface, Mangin et al 2010) including in AD (Hamelin et al 2015;Cai et al 2017). In contrast to VBM or CT measurements, this method is not dependent on grey/white contrast, which weakens with age and disease progression, but on the contrast between the grey matter and the CSF, which is far less affected by these parameters.…”

Section: Introductionmentioning

confidence: 99%

Sulcal morphology in Alzheimer's disease: an effective marker of diagnosis and cognition

Bertoux

Lagarde

Corlier

et al. 2019

Neurobiology of Aging

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François Mangin, et al.. Sulcal morphology in Alzheimer's disease: an effective marker of diagnosis and cognition. Neurobiology of Aging, Elsevier, 2019, Epub ahead of print. AbstractMeasuring the morphology of brain sulci has been recently proposed as a novel imaging approach in AD. We aimed to investigate the relevance of such an approach in AD, by exploring its (1) clinical relevance in comparison with traditional imaging methods, (2) relationship with amyloid deposition, (3) association with cognitive functions. Here, 51 patients (n=32 MCI/mild dementia-AD, n=19 moderate/severe dementia-AD) diagnosed according to clinical-biological criteria (CSF biomarkers and amyloid-PET) and 29 controls (with negative amyloid-PET) underwent neuropsychological and 3T-MRI examinations. Mean sulcal width (SW) & meancortical thickness around the sulcus (CT-S) were automatically measured. We found higher SW and lower CT-S in AD patients than in controls. These differences were more pronounced at later stages of the disease and provided the best diagnostic accuracies among the imaging markers. Correlations were not found between CT-S or SW and amyloid deposition but between specific cognitive functions and regional CT-S/SW in key associated regions. Sulcal morphology is a good supporting diagnosis tool, that reflects the main cognitive impairments in AD. It could be considered as a good surrogate marker to evaluate the efficacy of new drugs.

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“…Sulcal widening has also been shown to be associated with decreases in cognitive abilities (Liu et al, 2011) and physical activity (Lamont et al, 2014). With respect to clinical conditions, increased sulcal width has been found in dementia patients relative to healthy controls (Andersen et al, 2015; Hamelin et al, 2015; Huckman et al, 1975; Liu et al, 2012; Ming et al, 2015; Plocharski & Østergaard, 2016; Reiner et al, 2012), as well as with schizophrenia patients (Largen et al, 1984; Palaniyappan et al, 2015; Rieder et al, 1979) and mood disorders (Elkis et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

Robust estimation of sulcal morphology

Madan

2018

Preprint

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12While it is well established that cortical morphology differs in relation to a variety of 13 inter-individual factors, it is often characterized using estimates of volume, thickness, 14 surface area, or gyrification. Here we developed a computational approach for 15 estimating sulcal width and depth that relies on cortical surface reconstructions output 16 by FreeSurfer. While other approaches for estimating sulcal morphology exist, studies 17 often require the use of multiple brain morphology programs that have been shown to 18 differ in their approaches to localize sulcal landmarks, yielding morphological 19 estimates based on inconsistent boundaries. To demonstrate the approach, sulcal 20 morphology was estimated in three large sample of adults across the lifespan, in 21 relation to aging. A fourth sample is additionally used to estimate test-retest reliability 22 of the approach. This toolbox is now made freely available as supplemental to this 23 paper: https://cmadan.github.io/calcSulc/. 24 25

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Sulcal morphology as a new imaging marker for the diagnosis of early onset Alzheimer's disease

Cited by 42 publications

References 43 publications

Early-Onset Alzheimer Disease

Early-Onset Alzheimer Disease

Sulcal morphology in Alzheimer's disease: an effective marker of diagnosis and cognition

Robust estimation of sulcal morphology

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