Major depressive episodes over the course of 7 years and hippocampal subfield volumes at 7 tesla MRI: The PREDICT-MR study

Wisse, Laura; Biessels, Geert Jan; Stegenga, Bauke T.; Kooistra, Minke; Veen, Pieternella H van der; Zwanenburg, Jaco J.M.; Graaf, Yolanda van der; Geerlings, Mirjam I.

doi:10.1016/j.jad.2014.12.052

Cited by 41 publications

(39 citation statements)

References 39 publications

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“…19,20 Both UDES2 and PREDICT-MR recruited independently living subjects from general practices in Utrecht and surrounding areas. PREDICT-MR and UDES2 were approved by the medical ethics committee of the University Medical Center Utrecht (UMCU), and all subjects gave written informed consent.…”

Section: Methods Participantsmentioning

confidence: 99%

Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors

Bouvy

Zwanenburg

Reinink

et al. 2016

J Cereb Blood Flow Metab

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; On behalf of the Utrecht Vascular Cognitive Impairment (VCI) Study group Abstract Cerebral perivascular spaces (PVS) are small physiological structures around blood vessels in the brain. MRI visible PVS are associated with ageing and cerebral small vessel disease (SVD). 7 Tesla (7T) MRI improves PVS detection. We investigated the association of age, vascular risk factors, and imaging markers of SVD with PVS counts on 7 T MRI, in 50 persons aged ! 40. The average PVS count AE SD in the right hemisphere was 17 AE 6 in the basal ganglia and 71 AE 28 in the semioval centre. We observed no relation between age or vascular risk factors and PVS counts. The presence of microbleeds was related to more PVS in the basal ganglia (standardized beta 0.32; p ¼ 0.04) and semioval centre (standardized beta 0.39; p ¼ 0.01), and white matter hyperintensity volume to more PVS in the basal ganglia (standardized beta 0.41; p ¼ 0.02). We conclude that PVS counts on 7T MRI are high and are related SVD markers, but not to age and vascular risk factors. This latter finding may indicate that due to the high sensitivity of 7T MRI, the correlation of PVS counts with age or vascular risk factors may be attenuated by the detection of ''normal'', non-pathological PVS.

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Section: Methods Participantsmentioning

confidence: 99%

Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors

Bouvy

Zwanenburg

Reinink

et al. 2016

J Cereb Blood Flow Metab

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“…These manual and automatic segmentation protocols are highly discrepant from one another and often employ different terminology and definitions of the regional boundaries (Yushkevich et al, ). This variability in segmentation protocols produces widely inconsistent results, even when studying similar populations and phenomena (de Flores et al, ; Wisse et al, ). This variability complicates meaningful comparison of results between studies (de Flores et al, ) and hampers the ability to draw broader theoretical conclusions.…”

Section: Introductionmentioning

confidence: 99%

A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

et al. 2016

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The advent of high-resolution magnetic resonance imaging (MRI) has enabled in vivo research in a variety of populations and diseases on the structure and function of hippocampal subfields and subdivisions of the parahippocampal gyrus. Due to the many extant and highly discrepant segmentation protocols, comparing results across studies is difficult. To overcome this barrier, the Hippocampal Subfields Group was formed as an international collaboration with the aim of developing a harmonized protocol for manual segmentation of hippocampal and parahippocampal subregions on high-resolution MRI. In this commentary we discuss the goals for this protocol and the associated key challenges involved in its development. These include differences among existing anatomical reference materials, striking the right balance between reliability of measurements and anatomical validity, and the development of a versatile protocol that can be adopted for the study of populations varying in age and health. The commentary outlines these key challenges, as well as the proposed solution of each, with concrete examples from our working plan. Finally, with two examples, we illustrate how the harmonized protocol, once completed, is expected to impact the field by producing measurements that are quantitatively comparable across labs and by facilitating the synthesis of findings across different studies.

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“…This misrepresentation of the general population could constitute a bias in the assessment of diagnostic utility of hippocampal subfield volumetry, as recent reports have suggested that factors/conditions such as smoking(Durazzo et al, 2013), hypertension(Shing et al, 2011), multiple sclerosis(Sicotte et al, 2008), borderline personality disorder(Rossi et al, 2012) or depression(Huang et al, 2013;Wisse et al, 2015a) could have an impact on subfield volume, and notably on the subfields known to me the most sensitive to AD (CA1, CA1-2 areas). The higher prevalence of such factors in the general population as compared to these highly selected academic studies would probably increase the variability of subfield volumes and could lower the diagnostic interest of subfield imaging.…”

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confidence: 99%

Structural imaging of hippocampal subfields in healthy aging and Alzheimer’s disease

2015

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Hippocampal atrophy, as evidenced using magnetic resonance imaging (MRI), is one of the most validated, easily accessible and widely used biomarkers of Alzheimer's disease (AD). However, its imperfect sensitivity and specificity have highlighted the need to improve the analysis of MRI data. Based on neuropathological data showing a differential vulnerability of hippocampal subfields to AD processes, neuroimaging researchers have tried to capture corresponding morphological changes within the hippocampus. The present review provides an overview of the methodological developments that allow the assessment of hippocampal subfield morphology in vivo, and summarizes the results of studies looking at the effects of AD and normal aging on these structures. Most studies highlighted a focal atrophy of the CA1 subfield in the early (predementia or even preclinical) stages of AD, before atrophy becomes more widespread at the dementia stage, consistent with the pathological literature. Preliminary studies have indicated that looking at this focal atrophy pattern rather than standard whole hippocampus volumetry improves diagnostic accuracy at the mild cognitive impairment (MCI) stage. However, controversies remain regarding changes in hippocampal subfield structure in normal aging and regarding correlations between specific subfield volume and memory abilities, very likely because of the strong methodological variability between studies. Overall, hippocampal subfield analysis has proven to be a promising technique in the study of AD. However, harmonization of segmentation protocols and studies on larger samples are needed to enable accurate comparisons between studies and to confirm the clinical utility of these techniques.

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Major depressive episodes over the course of 7 years and hippocampal subfield volumes at 7 tesla MRI: The PREDICT-MR study

Cited by 41 publications

References 39 publications

Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors

Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors

A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

Structural imaging of hippocampal subfields in healthy aging and Alzheimer’s disease

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