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. 2017 May 26;38(8):3771–3790. doi: 10.1002/hbm.23604

Table 4.

Fitting parameters for deep gray matter structures volume versus age within each cohort

Structure Cohort Best fit model Parameter (S.E.)
Intercepta Age (linear) Age (exponential) Sex Age2 Interaction (age * sex or age2 * sex)
Thalamus Cross‐Sectional Poisson 13.44 (0.30) 0.48 (0.04) 0.05 (<0.01) −1.61 (0.14) n.s.
Long.—Young None
Long.—Aging Linear 17.51 (1.20) −0.07 (0.02) n.s. n.s.
Caudate Cross‐Sectional Poisson 7.22 (0.15) 0.23 (0.03) 0.07 (0.01) −0.66 (0.1) n.s.
Long.—Young None
Long.—Aging None
Putamen Cross‐Sectional Poisson 10.47 (0.15) 0.65 (0.04) 0.08 (<0.01) −1.12 (0.11) n.s.
Long.—Young Quadratic 11.51 (0.37) 0.11 (0.04) −1.1 (0.27) −0.005 (0.001) n.s.
Long.—Aging Linear 12.18 (0.85) −0.04 (0.01) −1.51 (0.29) n.s.
Globus pallidus Cross‐Sectional Poisson 3.3 (0.06) 0.17 (0.01) 0.08 (0.01) −0.41 (0.04) n.s.
Long.—Young Quadratic 3.19 (0.18) 0.07 (0.02) −0.52 (0.09) −0.003 (0.001) n.s.
Long.—Aging None
Hippocampus Cross‐Sectional Quadratic 9.1 (0.13) 0.03 (0.01) −0.69 (0.08) −0.001 (<0.01) n.s.
Long.—Young Quadratic 8.17 (0.22) −0.02 (0.01) −0.86 (0.17) −0.003 (0.001) n.s.
Long.—Aging Linear 12.17 (0.6) −0.07 (0.01) −0.69 (0.17) n.s.
Amygdala Cross‐Sectional Poisson 2.85 (0.08) 0.08 (0.01) 0.04 (<0.01) −0.34 (0.03) n.s.
Long.—Young Quadratic 2.57 (0.11) 0.06 (0.01) −0.37 (0.07) −0.002 (<0.01) n.s.
Long.—Aging Linear 4.25 (0.32) −0.02 (0) −0.5 (0.5) n.s.
Nucleus accumbens Cross‐Sectional Linear 1.42 (0.02) −0.01 (0) −0.13 (0.02) n.s.
Long.—Young Linear 1.3 (0.05) −0.01 (0) −0.16 (0.04) n.s.
Long.—Aging Linear 1.41 (0.12) −0.01 (0) −0.17 (0.03) n.s.
a

Intercept is the extrapolated volume at age zero.

– = not applicable; n.s. = non‐significant.