24 research outputs found
Normative data for subcortical regional volumes over the lifetime of the adult human brain
Normative data for volumetric estimates of brain structures are necessary to adequately assess
brain volume alterations in individuals with suspected neurological or psychiatric conditions.
Although many studies have described age and sex effects in healthy individuals for brain
morphometry assessed via magnetic resonance imaging, proper normative values allowing to
quantify potential brain abnormalities are needed. We developed norms for volumetric estimates
of subcortical brain regions based on cross-sectional magnetic resonance scans from 2790
healthy individuals aged 18 to 94 years using 23 samples provided by 21 independent research
groups. The segmentation was conducted using FreeSurfer, a widely used and freely available
automated segmentation software. Models predicting subcortical regional volumes of each
hemisphere were produced including age, sex, estimated total intracranial volume (eTIV),
scanner manufacturer, magnetic field strength, and interactions as predictors. The mean
explained variance by the models was 48%. For most regions, age, sex and eTIV predicted most
of the explained variance while manufacturer, magnetic field strength and interactions predicted
a limited amount. Estimates of the expected volumes of an individual based on its characteristics
and the scanner characteristics can be obtained using derived formulas. For a new individual,
significance test for volume abnormality, effect size and estimated percentage of the normative
population with a smaller volume can be obtained. Normative values were validated in
independent samples of healthy adults and in adults with Alzheimer's disease and schizophrenia
FreeSurfer subcortical normative data
This article contains a spreadsheet computing estimates of the
expected subcortical regional volumes of an individual based on its
characteristics and the scanner characteristics, in addition to supplementary results related to the article “Normative data for subcortical regional volumes over the lifetime of the adult human brain”
(O. Potvin, A. Mouiha, L. Dieumegarde, S. Duchesne, 2016) [1] on
normative data for subcortical volumes. Data used to produce normative values was obtained by anatomical magnetic resonance
imaging from 2790 healthy individuals aged 18–94 years using 23
samples provided by 21 independent research groups. The segmentation was conducted using FreeSurfer. The spreadsheet includes
formulas in order to compute for a new individual, significance test
for volume abnormality, effect size and estimated percentage of the
normative population with a smaller volume while taking into
account age, sex, estimated intracranial volume (eTIV), and scanner
characteristics. Detailed R-squares of each predictor for all formula
are also reported as well as the difference of subcortical volumes
segmented by FreeSurfer on two different computer hardware setups
Measurement variability following MRI system upgrade
Major hardware/software changes to MRI platforms, either planned or unplanned, will almost
invariably occur in longitudinal studies. Our objective was to assess the resulting variability on
relevant imaging measurements in such context, specifically for three Siemens Healthcare
Magnetom Trio upgrades to the Prismafit platform.
We report data acquired on three healthy volunteers scanned before and after three different
platform upgrades. We assessed differences in image signal (contrast-to-noise ratio (CNR)) on
T1-weighted images (T1w) and fluid-attenuated inversion recovery images (FLAIR); brain
morphometry on T1w image; and small vessel disease (white matter hyperintensities; WMH) on
FLAIR image.
Prismafit upgrade resulted in higher (30%) and more variable neocortical CNR and higher brain
volume and thickness mainly in frontal areas. A significant relationship was observed between
neocortical CNR and cortical volume. For FLAIR images, no significant CNR difference was
observed, but WMH volumes were significantly smaller (-68%) after Prismafit upgrade, when
compared to results on the Magnetom Trio.
Together, these results indicate that Prismafit upgrade significantly influenced image signal, brain
morphometry measures and small vessel diseases measures and that these effects need to be
taken into account when analyzing results from any longitudinal study undergoing similar
changes
Brain atrophy and patch-based grading in individuals from the CIMA-Q study : a progressive continuum from subjective cognitive decline to AD
It has been proposed that individuals developing Alzheimer’s disease (AD) first experience a phase expressing subjective complaints of cognitive decline (SCD) without objective cognitive impairment. Using magnetic resonance imaging (MRI), our objective was to verify whether SNIPE probability grading, a new MRI analysis technique, would distinguish between clinical dementia stage of AD: Cognitively healthy controls without complaint (CH), SCD, mild cognitive impairment, and AD. SNIPE score in the hippocampus and entorhinal cortex was applied to anatomical T1-weighted MRI of 143 participants from the Consortium pour l’identification précoce de la maladie Alzheimer - Québec (CIMA-Q) study and compared to standard atrophy measures (volumes and cortical thicknesses). Compared to standard atrophy measures, SNIPE score appeared more sensitive to differentiate clinical AD since differences between groups reached a higher level of significance and larger effect sizes. However, no significant difference was observed between SCD and CH groups. Combining both types of measures did not improve between-group differences. Further studies using a combination of biomarkers beyond anatomical MRI might be needed to identify individuals with SCD who are on the beginning of the clinical continuum of AD
Brain atrophy and patch-based grading in individuals from the CIMA-Q study : a progressive continuum from subjective cognitive decline to AD
It has been proposed that individuals developing Alzheimer's disease (AD) first experience a phase expressing subjective complaints of cognitive decline (SCD) without objective cognitive impairment. Using magnetic resonance imaging (MRI), our objective was to verify whether SNIPE probability grading, a new MRI analysis technique, would distinguish between clinical dementia stage of AD: Cognitively healthy controls without complaint (CH), SCD, mild cognitive impairment, and AD. SNIPE score in the hippocampus and entorhinal cortex was applied to anatomical T1-weighted MRI of 143 participants from the Consortium pour l’identification précoce de la maladie Alzheimer -Québec (CIMA-Q) study and compared to standard atrophy measures (volumes and cortical thicknesses). Compared to standard atrophy measures, SNIPE score appeared more sensitive to differentiate clinical AD since differences between groups reached a higher level of significance and larger effect sizes. However, no significant difference was observed between SCD and CH groups. Combining both types of measures did not improve between-group differences. Further studies using a combination of biomarkers beyond anatomical MRI might be needed to identify individuals with SCD who are on the beginning of the clinical continuum of AD
Evidence of a relation between hippocampal volume, white matter hyperintensities, and cognition in subjective cognitive decline and mild cognitive impairment
Objective: The concepts of mild cognitive impairment (MCI) and subjective cognitive decline (SCD) have been proposed to
identify individuals in the early stages of Alzheimer’s disease (AD), or other neurodegenerative diseases. One approach to validate these concepts is to investigate the relationship between pathological brain markers and cognition in those individuals.
Method: We included 126 participants from the Consortium for the Early Identification of Alzheimer’s disease-Quebec
(CIMA-Q) cohort (67 SCD, 29 MCI, and 30 cognitively healthy controls [CH]). All participants underwent a complete
cognitive assessment and structural magnetic resonance imaging. Group comparisons were done using cognitive data, and
then correlated with hippocampal volumes and white matter hyperintensities (WMHs).
Results: Significant differences were found between participants with MCI and CH on episodic and executive tasks, but
no differences were found when comparing SCD and CH. Scores on episodic memory tests correlated with hippocampal
volumes in both MCI and SCD, whereas performance on executive tests correlated with WMH in all of our groups.
Discussion: As expected, the SCD group was shown to be cognitively healthy on tasks where MCI participants showed
impairment. However, SCD’s hippocampal volume related to episodic memory performances, and WMH to executive functions. Thus, SCD represents a valid research concept and should be used, alongside MCI, to better understand the preclinical/prodromal phase of AD
Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis
"This is the peer reviewed version of the following article: CoupĂ©, Pierrick, Gwenaelle Catheline, Enrique Lanuza, and JosĂ© Vicente ManjĂłn. 2017. Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis. Human Brain Mapping 38 (11). Wiley: 5501 18. doi:10.1002/hbm.23743, which has been published in final form at https://doi.org/10.1002/hbm.23743. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] There is no consensus in literature about lifespan brain maturation and senescence, mainly because previous lifespan studies have been performed on restricted age periods and/or with a limited number of scans, making results instable and their comparison very difficult. Moreover, the use of nonharmonized tools and different volumetric measurements lead to a great discrepancy in reported results. Thanks to the new paradigm of BigData sharing in neuroimaging and the last advances in image processing enabling to process baby as well as elderly scans with the same tool, new insights on brain maturation and aging can be obtained. This study presents brain volume trajectory over the entire lifespan using the largest age range to date (from few months of life to elderly) and one of the largest number of subjects (N=2,944). First, we found that white matter trajectory based on absolute and normalized volumes follows an inverted U-shape with a maturation peak around middle life. Second, we found that from 1 to 8-10 y there is an absolute gray matter (GM) increase related to body growth followed by a GM decrease. However, when normalized volumes were considered, GM continuously decreases all along the life. Finally, we found that this observation holds for almost all the considered subcortical structures except for amygdala which is rather stable and hippocampus which exhibits an inverted U-shape with a longer maturation period. By revealing the entire brain trajectory picture, a consensus can be drawn since most of the previously discussed discrepancies can be explained. Hum Brain Mapp 38:5501-5518, 2017. (C) 2017 Wiley Periodicals, Inc.French State (French National Research Ageny in the frame of the Investments for the future Program IdEx Bordeaux); Contract grant number: ANR-10-IDEX-03-02, HL-MRI Project; Contract grant sponsor: Cluster of excellence CPU and TRAIL (HR-DTI ANR-10-LABX-57); Contract grant sponsor: CNRS ("Defi imag'In and the dedicated volBrain support); Contract grant sponsor: Ministerio de Economia y competitividad (Spanish); Contract grant number: TIN2013-43457-R; Contract grant sponsor: National Institute of Child Health and Human Development; Contract grant number: HHSN275200900018C; Contract grant sponsors: National Institute of Child Health and Human Development, the National Institute on Drug Abuse, the National Institute of Mental Health, and the National Institute of Neurological Disorders and Stroke; Contract grant numbers: N01- HD02-3343, N01-MH9-0002, and N01-NS-9-2314, -2315, -2316, -2317, -2319 and -2320; Contract grant sponsor: National Institutes of Health; Contract grant number: U01 AG024904; Contract grant sponsor: National Institute on Aging and the National Institute of Biomedical Imaging and Bioengineering (ADNI); Contract grant sponsor: NIH; Contract grant number: P30AG010129, K01 AG030514; Contract grant sponsor: Dana Foundation; Contract grant sponsor: OASIS project (OASIS data); Contract grant numbers: P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584; Contract grant sponsor: Common-wealth Scientific Industrial Research Organization (a publicly funded government research organization); Contract grant sponsor: Science Industry Endowment Fund, National Health and Medical Research Council of Australia; Contract grant number: 1011689; Contract grant sponsors: Alzheimer's Association, Alzheimer's Drug Discovery Foundation, and an anonymous foundation; Contract grant sponsor: Human Brain Project; Contract grant number: PO1MHO52176-11 (ICBM, P.I. Dr John Mazziotta); Contract grant sponsor: Canadian Institutes of Health Research; Contract grant number: MOP-34996; Contract grant sponsor: U.K. Engineering and Physical Sciences Research Council (EPSRC); Contract grant number: GR/S21533/02; Contract grant sponsor: ABIDE funding resources; Contract grant sponsor: NIMH; Contract grant number: K23MH087770; Contract grant sponsor: Leon Levy Foundation; Contract grant sponsor: NIMH award to MPM; Contract grant number: R03MH096321CoupĂ©, P.; Catheline, G.; Lanuza, E.; ManjĂłn Herrera, JV. (2017). Towards a Unified Analysis of Brain Maturation and Aging across the Entire Lifespan: A MRI Analysis. Human Brain Mapping. 38(11):5501-5518. https://doi.org/10.1002/hbm.23743S550155183811Ashburner, J., & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26(3), 839-851. doi:10.1016/j.neuroimage.2005.02.018Aubert-Broche, B., Fonov, V. S., GarcĂa-Lorenzo, D., Mouiha, A., Guizard, N., CoupĂ©, P., … Collins, D. L. (2013). 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FreeSurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols
We recently built normative data for FreeSurfer morphometric estimates of cortical regions using its default atlas parcellation (Desikan-Killiany or DK) according to individual and scanner characteristics. We aimed to produced similar normative values for Desikan-Killianny-Tourville (DKT) and ex vivo-based labeling protocols, as well as examine the differences between these three atlases. Surfaces, thicknesses, and volumes of cortical regions were produced using cross-sectional magnetic resonance scans from the same 2713 healthy individuals aged 18 to 94 years as used in the reported DK norms. Models predicting regional cortical estimates of each hemisphere were produced using age, sex, estimated intracranial volume (eTIV), scanner manufacturer and magnetic field strength (MFS) as predictors. The DKT and DK models generally included the same predictors and produced similar R2. Comparison between DK, DKT, ex vivo atlases normative cortical measures showed that the three protocols generally produced similar normative values
Evidence of a relation between hippocampal volume, white matter hyperintensities, and cognition in subjective cognitive decline and mild cognitive impairment
Abtract
Objective:
The concepts of mild cognitive impairment (MCI) and subjective cognitive decline (SCD) have been proposed to identify individuals in the early stages of Alzheimer's disease (AD), or other neurodegenerative diseases. One approach to validate these concepts is to investigate the relationship between pathological brain markers and cognition in those individuals.
Method:
We included 126 participants from the Consortium for the Early Identification of Alzheimer's disease-Quebec (CIMA-Q) cohort (67 SCD, 29 MCI, and 30 cognitively healthy controls [CH]). All participants underwent a complete cognitive assessment and structural magnetic resonance imaging. Group comparisons were done using cognitive data, and then correlated with hippocampal volumes and white matter hyperintensities (WMHs).
Results:
Significant differences were found between participants with MCI and CH on episodic and executive tasks, but no differences were found when comparing SCD and CH. Scores on episodic memory tests correlated with hippocampal volumes in both MCI and SCD, whereas performance on executive tests correlated with WMH in all of our groups.
Discussion:
As expected, the SCD group was shown to be cognitively healthy on tasks where MCI participants showed impairment. However, SCD's hippocampal volume related to episodic memory performances, and WMH to executive functions. Thus, SCD represents a valid research concept and should be used, alongside MCI, to better understand the preclinical/ prodromal phase of AD