The AddNeuroMed framework for multi‐centre MRI assessment of Alzheimer's disease : experience from the first 24 months

Simmons, Andrew; Westman, Eric; Muehlboeck, Sebastian; Mecocci, Patrizia; Vellas, Bruno; Tsolaki, Magda; Kłoszewska, Iwona; Wahlund, Lars‐Olof; Soininen, Hilkka; Lovestone, Simon; Evans, Alan C.; Spenger, Christian

doi:10.1002/gps.2491

Cited by 136 publications

(120 citation statements)

References 10 publications

(12 reference statements)

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“…• the Cardiovascular Health Study (CHS) database: as data were not accessible to investigators not associated with the CHS study [33] • the AddNeuroMed Study database: as data were not yet publicly accessible [34][35] • the BrainSCAPE database: as it was offline at the time of this study [36] • the Whole Brain Atlas [37] and Neuroanatomical database of normal Japanese brains [38][39] This left nine MR brain image databanks that met the criteria as follows (table 1). All nine of these databanks reported to include "normal" subjects aged 60 years and over.…”

Section: Resultsmentioning

confidence: 99%

Do brain image databanks support understanding of normal ageing brain structure? A systematic review

et al. 2012

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Objective To document accessible magnetic resonance (MR) brain images, metadata, and statistical results from normal older subjects that may be used to improve diagnoses of dementia. Methods We systematically reviewed published brain image databanks (print literature and internet) concerned with normal ageing brain structure.Results From nine eligible databanks, there appeared to be 937 normal subjects aged ≥60 years. However, many subjects were in more than one databank and not all were Key points:• We reviewed databanks with structural MR brain images of "normal" older people• In total from these 9 databanks, ~98 normal subjects ≥60 years were openly accessible• None had all the required sequences, random subject retrieval, or statistical results• More access, subjects, sequences, metadata, searchability, and results are needed• These may improve understanding of normal brain ageing and diagnoses of dementia

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Section: Resultsmentioning

confidence: 99%

Do brain image databanks support understanding of normal ageing brain structure? A systematic review

et al. 2012

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“…Whereas volumetric analysis is an emerging neuroimaging tool and has been successfully used in large-scale analyses of data acquired using different scanners and protocols such as those performed by the Alzheimer's Disease Neuroimaging Initiative (Chou et al, 2010;Hua et al, 2010;Mueller et al, 2005;Risacher et al, 2010;Simmons et al, 2011), challenges remain in its use in multi-site studies in TBI. First, volumetric changes can evolve over an extended time (Sidaros et al, 2009;Trivedi et al, 2007;Wu et al, 2010a) and may be evident later than changes seen on other advanced imaging techniques such as DTI (Bendlin et al, 2008;Groen et al, 2010;Hutchinson et al, 2010;Wu et al, 2010a).…”

Section: Mrimentioning

confidence: 99%

Emerging Imaging Tools for Use with Traumatic Brain Injury Research

Hunter

Wilde

Tong

et al. 2012

Journal of Neurotrauma

114

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This article identifies emerging neuroimaging measures considered by the inter-agency Pediatric Traumatic Brain Injury (TBI) Neuroimaging Workgroup. This article attempts to address some of the potential uses of more advanced forms of imaging in TBI as well as highlight some of the current considerations and unresolved challenges of using them. We summarize emerging elements likely to gain more widespread use in the coming years, because of 1) their utility in diagnosis, prognosis, and understanding the natural course of degeneration or recovery following TBI, and potential for evaluating treatment strategies; 2) the ability of many centers to acquire these data with scanners and equipment that are readily available in existing clinical and research settings; and 3) advances in software that provide more automated, readily available, and cost-effective analysis methods for large scale data image analysis. These include multi-slice CT, volumetric MRI analysis, susceptibility-weighted imaging (SWI), diffusion tensor imaging (DTI), magnetization transfer imaging (MTI), arterial spin tag labeling (ASL), functional MRI (fMRI), including resting state and connectivity MRI, MR spectroscopy (MRS), and hyperpolarization scanning. However, we also include brief introductions to other specialized forms of advanced imaging that currently do require specialized equipment, for example, single photon emission computed tomography (SPECT), positron emission tomography (PET), encephalography (EEG), and magnetoencephalography (MEG)/magnetic source imaging (MSI). Finally, we identify some of the challenges that users of the emerging imaging CDEs may wish to consider, including quality control, performing multi-site and longitudinal imaging studies, and MR scanning in infants and children.

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“…The MRI acquisition protocol used in AddNeuroMed was designed to be compatible with the one applied in ADNI [34]. The high-resolution sagittal 3-dimensional T1-weighted MPRAGE sequence (voxel size 1.1 × 1.1 × 1.2 mm 3 ) was selected for this study and processed with FreeSurfer 5.3.0 (http://surfer.nmr.mgh.harvard.edu/).…”

Section: Methodsmentioning

confidence: 99%

Measuring Global Brain Atrophy with the Brain Volume/Cerebrospinal Fluid Index: Normative Values, Cut-Offs and Clinical Associations

et al. 2015

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Background: Global brain atrophy is present in normal aging and different neurodegenerative disorders such as Alzheimer's disease (AD) and is becoming widely used to monitor disease progression. Summary: The brain volume/cerebrospinal fluid index (BV/CSF index) is validated in this study as a measurement of global brain atrophy. We tested the ability of the BV/CSF index to detect global brain atrophy, investigated the influence of confounders, provided normative values and cut-offs for mild, moderate and severe brain atrophy, and studied associations with different outcome variables. A total of 1,009 individuals were included [324 healthy controls, 408 patients with mild cognitive impairment (MCI) and 277 patients with AD]. Magnetic resonance images were segmented using FreeSurfer, and the BV/CSF index was calculated and studied both cross-sectionally and longitudinally (1-year follow-up). Both AD patients and MCI patients who progressed to AD showed greater global brain atrophy compared to stable MCI patients and controls. Atrophy was associated with older age, larger intracranial volume, less education and presence of the ApoE ε4 allele. Significant correlations were found with clinical variables, CSF biomarkers and several cognitive tests. Key Messages: The BV/CSF index may be useful for staging individuals according to the degree of global brain atrophy, and for monitoring disease progression. It also shows potential for predicting clinical changes and for being used in the clinical routine.

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The AddNeuroMed framework for multi‐centre MRI assessment of Alzheimer's disease : experience from the first 24 months

Cited by 136 publications

References 10 publications

Do brain image databanks support understanding of normal ageing brain structure? A systematic review

Do brain image databanks support understanding of normal ageing brain structure? A systematic review

Emerging Imaging Tools for Use with Traumatic Brain Injury Research

Measuring Global Brain Atrophy with the Brain Volume/Cerebrospinal Fluid Index: Normative Values, Cut-Offs and Clinical Associations

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