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Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

Holmes AJ, Hollinshead MO, O'Keefe TM, Petrov VI, Fariello GR, Wald LL, Fischl B, Rosen BR, Mair RW, Roffman JL, Smoller JW, Buckner RL - Sci Data (2015)

Bottom Line: Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit.For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively).Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset's utility.

View Article: PubMed Central - PubMed

Affiliation: Center for Brain Science, Harvard University , Cambridge, MA 02138, USA ; Department of Psychology, Harvard University , Cambridge, MA 02138, USA ; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA ; Athinoula A. Martinos Center for Biomedical Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, MA 02129, USA.

ABSTRACT
The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration of the links between brain function, behavior, and ultimately genetic variation. To provide the broader scientific community data to probe these associations, a repository of structural and functional magnetic resonance imaging (MRI) scans linked to genetic information was constructed from a sample of healthy individuals. The initial release, detailed in the present manuscript, encompasses quality screened cross-sectional data from 1,570 participants ages 18 to 35 years who were scanned with MRI and completed demographic and health questionnaires. Personality and cognitive measures were obtained on a subset of participants. Each dataset contains a T1-weighted structural MRI scan and either one (n=1,570) or two (n=1,139) resting state functional MRI scans. Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit. For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively). Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset's utility.

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Structural brain volume and morphometric measures.(a) A scatter plot of the derived structural MRI estimates from the 1,570 participants included in the present data release reveals expected relations between sex, intracranial volume (ICV), and brain volume. Histograms of both brain volume and ICV are represented on the x and y axes respectively. (b–e) Scatter plots display the correlations between age (2 year bins) and morphometric estimates of (b) ICV (Females r=−0.07; Males r=−0.01), (c) brain volume (Females r=−0.14; Males r=−0.11), (d) cortical surface area (Females r=−0.12; Males r=−0.05), and (e) mean cortical thickness (Females r=−0.28; Males r=−0.26). Note ICV differs by sex but minimally by age reflecting the sex difference in head size that is achieved by adolescence and remains stable. By contrast, cortical thickness is nearly identical between the sexes but decreases progressively with age.
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f1: Structural brain volume and morphometric measures.(a) A scatter plot of the derived structural MRI estimates from the 1,570 participants included in the present data release reveals expected relations between sex, intracranial volume (ICV), and brain volume. Histograms of both brain volume and ICV are represented on the x and y axes respectively. (b–e) Scatter plots display the correlations between age (2 year bins) and morphometric estimates of (b) ICV (Females r=−0.07; Males r=−0.01), (c) brain volume (Females r=−0.14; Males r=−0.11), (d) cortical surface area (Females r=−0.12; Males r=−0.05), and (e) mean cortical thickness (Females r=−0.28; Males r=−0.26). Note ICV differs by sex but minimally by age reflecting the sex difference in head size that is achieved by adolescence and remains stable. By contrast, cortical thickness is nearly identical between the sexes but decreases progressively with age.

Mentions: Having established the reliability of the morphometric estimates, anatomical features were analyzed to validate that commonly observed relations are present in the data and of typical magnitude. Estimated intracranial volume (ICV) and total brain volume are plotted in Fig. 1. As expected for a group of young adults where neurodegenerative processes have not begun46, ICV is highly correlated with brain volume (r=0.96). Head size differs between men and women40,47,48. Consistent with larger head size40,49,50, males displayed increased ICV, brain volume, and cortical surface area, relative to females, ranging from 12.4 to 13.8% [Fig. 1a–d; t(1568)=33.95, 32.88, 29.50, respectively; all ps<0.001]. Effective head size normalization should correct this difference. As highlighted in Supplementary Fig. 2, head size normalization accounts for sex differences in regional and whole-brain morphometric analyses40. No relations with sex emerged in the raw (uncorrected) data when considering average cortical thickness [t(1568)=0.80, P=0.43] consistent with models, and prior data, that suggest thickness increases minimally with head size49. Of interest, there was also no sex difference noted for cortical thickness as predicted by early neurodevelopmental models that hypothesize cortical surface area but not thickness differs across normal variability in head size. The dissociation between effects on surface area and thickness is quite dramatic in the contrasting plots of Fig. 1d and Fig. 1e.


Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

Holmes AJ, Hollinshead MO, O'Keefe TM, Petrov VI, Fariello GR, Wald LL, Fischl B, Rosen BR, Mair RW, Roffman JL, Smoller JW, Buckner RL - Sci Data (2015)

Structural brain volume and morphometric measures.(a) A scatter plot of the derived structural MRI estimates from the 1,570 participants included in the present data release reveals expected relations between sex, intracranial volume (ICV), and brain volume. Histograms of both brain volume and ICV are represented on the x and y axes respectively. (b–e) Scatter plots display the correlations between age (2 year bins) and morphometric estimates of (b) ICV (Females r=−0.07; Males r=−0.01), (c) brain volume (Females r=−0.14; Males r=−0.11), (d) cortical surface area (Females r=−0.12; Males r=−0.05), and (e) mean cortical thickness (Females r=−0.28; Males r=−0.26). Note ICV differs by sex but minimally by age reflecting the sex difference in head size that is achieved by adolescence and remains stable. By contrast, cortical thickness is nearly identical between the sexes but decreases progressively with age.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4493828&req=5

f1: Structural brain volume and morphometric measures.(a) A scatter plot of the derived structural MRI estimates from the 1,570 participants included in the present data release reveals expected relations between sex, intracranial volume (ICV), and brain volume. Histograms of both brain volume and ICV are represented on the x and y axes respectively. (b–e) Scatter plots display the correlations between age (2 year bins) and morphometric estimates of (b) ICV (Females r=−0.07; Males r=−0.01), (c) brain volume (Females r=−0.14; Males r=−0.11), (d) cortical surface area (Females r=−0.12; Males r=−0.05), and (e) mean cortical thickness (Females r=−0.28; Males r=−0.26). Note ICV differs by sex but minimally by age reflecting the sex difference in head size that is achieved by adolescence and remains stable. By contrast, cortical thickness is nearly identical between the sexes but decreases progressively with age.
Mentions: Having established the reliability of the morphometric estimates, anatomical features were analyzed to validate that commonly observed relations are present in the data and of typical magnitude. Estimated intracranial volume (ICV) and total brain volume are plotted in Fig. 1. As expected for a group of young adults where neurodegenerative processes have not begun46, ICV is highly correlated with brain volume (r=0.96). Head size differs between men and women40,47,48. Consistent with larger head size40,49,50, males displayed increased ICV, brain volume, and cortical surface area, relative to females, ranging from 12.4 to 13.8% [Fig. 1a–d; t(1568)=33.95, 32.88, 29.50, respectively; all ps<0.001]. Effective head size normalization should correct this difference. As highlighted in Supplementary Fig. 2, head size normalization accounts for sex differences in regional and whole-brain morphometric analyses40. No relations with sex emerged in the raw (uncorrected) data when considering average cortical thickness [t(1568)=0.80, P=0.43] consistent with models, and prior data, that suggest thickness increases minimally with head size49. Of interest, there was also no sex difference noted for cortical thickness as predicted by early neurodevelopmental models that hypothesize cortical surface area but not thickness differs across normal variability in head size. The dissociation between effects on surface area and thickness is quite dramatic in the contrasting plots of Fig. 1d and Fig. 1e.

Bottom Line: Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit.For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively).Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset's utility.

View Article: PubMed Central - PubMed

Affiliation: Center for Brain Science, Harvard University , Cambridge, MA 02138, USA ; Department of Psychology, Harvard University , Cambridge, MA 02138, USA ; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA ; Athinoula A. Martinos Center for Biomedical Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, MA 02129, USA.

ABSTRACT
The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration of the links between brain function, behavior, and ultimately genetic variation. To provide the broader scientific community data to probe these associations, a repository of structural and functional magnetic resonance imaging (MRI) scans linked to genetic information was constructed from a sample of healthy individuals. The initial release, detailed in the present manuscript, encompasses quality screened cross-sectional data from 1,570 participants ages 18 to 35 years who were scanned with MRI and completed demographic and health questionnaires. Personality and cognitive measures were obtained on a subset of participants. Each dataset contains a T1-weighted structural MRI scan and either one (n=1,570) or two (n=1,139) resting state functional MRI scans. Test-retest reliability datasets are included from 69 participants scanned within six months of their initial visit. For the majority of participants self-report behavioral and cognitive measures are included (n=926 and n=892 respectively). Analyses of data quality, structure, function, personality, and cognition are presented to demonstrate the dataset's utility.

Show MeSH