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Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age.

Fillmore PT, Phillips-Meek MC, Richards JE - Front Aging Neurosci (2015)

Bottom Line: The participants included healthy adults from 20 through 89 years of age.It was found that age-appropriate templates provided less biased tissue classification estimates than age-inappropriate reference data and reference data based on young adult templates.This database is available for use by other investigators and clinicians for their MRI studies, as well as other types of neuroimaging and electrophysiological research.

View Article: PubMed Central - PubMed

Affiliation: Department of Communication Sciences and Disorders, University of South Carolina Columbia, SC, USA.

ABSTRACT
This study created and tested a database of adult, age-specific MRI brain and head templates. The participants included healthy adults from 20 through 89 years of age. The templates were done in five-year, 10-year, and multi-year intervals from 20 through 89 years, and consist of average T1W for the head and brain, and segmenting priors for gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). It was found that age-appropriate templates provided less biased tissue classification estimates than age-inappropriate reference data and reference data based on young adult templates. This database is available for use by other investigators and clinicians for their MRI studies, as well as other types of neuroimaging and electrophysiological research.

No MeSH data available.


Age-appropriate segmentation priors compared to those from inappropriate ages. Partial volume estimates (PVE’s) for both gray matter (GM) and white matter (WM) were derived from segmentation using age appropriate (five-year range) priors, as well as priors derived from younger and older age groups. These PVE’s were compared, and mean Dice similarity values are shown for several representative ages. Note the consistent drop off in similarity, as utilized priors grow farther from the appropriate age range.
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Figure 6: Age-appropriate segmentation priors compared to those from inappropriate ages. Partial volume estimates (PVE’s) for both gray matter (GM) and white matter (WM) were derived from segmentation using age appropriate (five-year range) priors, as well as priors derived from younger and older age groups. These PVE’s were compared, and mean Dice similarity values are shown for several representative ages. Note the consistent drop off in similarity, as utilized priors grow farther from the appropriate age range.

Mentions: The “Image-AVG-a posteriori” method with age-appropriate MRI template was the best fit over both GM/WM and two IBSR groups. We therefore used the Image-AVG-a posteriori method to compare the age-appropriate segmentation as a proxy for the manual segmentation. The purpose of these ANOVA’s was to evaluate the effect of use of age-inappropriate priors, by examining the overlap between the segmented brain PVE’s based on the participant’s age-appropriate five-year template and successively older and younger five-year templates (see Figure 2). We conducted separate tests for GM and WM. For GM, a 14 (template age) × 26 (age difference) mixed ANOVA revealed a main effect of age difference, F(25,492) = 17.68, p < 0.0001, and an interaction between age and age difference, F(143,492) = 1.47, p = 0.0014, but no significant age main effect. The pattern of findings for WM were similar: a main effect of age difference, F(25,492) = 7.76, p < 0.0001, and an interaction between age and age difference, F(143,492) = 1.38, p = 0.0062. Figure 6 demonstrates the change in fit of successively older and younger five-year templates for four selected age groups (20–24, 40–44, 60–64, and 85–89). Figure 7 shows the changes for younger and older ages summed over all age groups. The same general pattern is present in all graphs. The overlap between segmentation based on age-appropriate and age-inappropriate templates decreases as the age is further from the participant’s age. We tested the age-difference main effect for all 14 age groups, and found a significant age-difference effect at each group. These post hoc tests shows that the interaction between age and age-difference occurred because of the differing patterns across different ages (e.g., Figure 6).


Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age.

Fillmore PT, Phillips-Meek MC, Richards JE - Front Aging Neurosci (2015)

Age-appropriate segmentation priors compared to those from inappropriate ages. Partial volume estimates (PVE’s) for both gray matter (GM) and white matter (WM) were derived from segmentation using age appropriate (five-year range) priors, as well as priors derived from younger and older age groups. These PVE’s were compared, and mean Dice similarity values are shown for several representative ages. Note the consistent drop off in similarity, as utilized priors grow farther from the appropriate age range.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4389545&req=5

Figure 6: Age-appropriate segmentation priors compared to those from inappropriate ages. Partial volume estimates (PVE’s) for both gray matter (GM) and white matter (WM) were derived from segmentation using age appropriate (five-year range) priors, as well as priors derived from younger and older age groups. These PVE’s were compared, and mean Dice similarity values are shown for several representative ages. Note the consistent drop off in similarity, as utilized priors grow farther from the appropriate age range.
Mentions: The “Image-AVG-a posteriori” method with age-appropriate MRI template was the best fit over both GM/WM and two IBSR groups. We therefore used the Image-AVG-a posteriori method to compare the age-appropriate segmentation as a proxy for the manual segmentation. The purpose of these ANOVA’s was to evaluate the effect of use of age-inappropriate priors, by examining the overlap between the segmented brain PVE’s based on the participant’s age-appropriate five-year template and successively older and younger five-year templates (see Figure 2). We conducted separate tests for GM and WM. For GM, a 14 (template age) × 26 (age difference) mixed ANOVA revealed a main effect of age difference, F(25,492) = 17.68, p < 0.0001, and an interaction between age and age difference, F(143,492) = 1.47, p = 0.0014, but no significant age main effect. The pattern of findings for WM were similar: a main effect of age difference, F(25,492) = 7.76, p < 0.0001, and an interaction between age and age difference, F(143,492) = 1.38, p = 0.0062. Figure 6 demonstrates the change in fit of successively older and younger five-year templates for four selected age groups (20–24, 40–44, 60–64, and 85–89). Figure 7 shows the changes for younger and older ages summed over all age groups. The same general pattern is present in all graphs. The overlap between segmentation based on age-appropriate and age-inappropriate templates decreases as the age is further from the participant’s age. We tested the age-difference main effect for all 14 age groups, and found a significant age-difference effect at each group. These post hoc tests shows that the interaction between age and age-difference occurred because of the differing patterns across different ages (e.g., Figure 6).

Bottom Line: The participants included healthy adults from 20 through 89 years of age.It was found that age-appropriate templates provided less biased tissue classification estimates than age-inappropriate reference data and reference data based on young adult templates.This database is available for use by other investigators and clinicians for their MRI studies, as well as other types of neuroimaging and electrophysiological research.

View Article: PubMed Central - PubMed

Affiliation: Department of Communication Sciences and Disorders, University of South Carolina Columbia, SC, USA.

ABSTRACT
This study created and tested a database of adult, age-specific MRI brain and head templates. The participants included healthy adults from 20 through 89 years of age. The templates were done in five-year, 10-year, and multi-year intervals from 20 through 89 years, and consist of average T1W for the head and brain, and segmenting priors for gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). It was found that age-appropriate templates provided less biased tissue classification estimates than age-inappropriate reference data and reference data based on young adult templates. This database is available for use by other investigators and clinicians for their MRI studies, as well as other types of neuroimaging and electrophysiological research.

No MeSH data available.