1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 2:Bivariate Pearson correlation coefficients between MRI measures and multivariable linear regression of R2* with QSM and R2 using zero intercept (R2* = a1QSM + a2R2)
GP Putamen Caudate Aput Pput MRI R2 (QSM) 0.51a 0.72b 0.52a 0.67a 0.72a R2* (QSM) 0.73b 0.81b 0.47a 0.71a 0.83a R2* (R2) 0.55b 0.78b 0.48a 0.75a 0.75a CSF-T2WI (T2) 0.71b 0.85b 0.59b 0.79b 0.87b Multivariable linear regression for R2* a1 0.28 ± 0.04b 0.22 ± 0.04b 0.15 ± 0.06c 0.21 ± 0.05a 0.25 ± 0.04b a2 1.05 ± 0.14b 1.31 ± 0.07b 1.42 ± 0.16b 1.42 ± 0.08b 1.08 ± 0.10b Fractional QSM: 47% QSM: 23% QSM: 20.0% QSM: 18% QSM: 36% Contributions R2: 53% R2: 77% R2: 80.0% R2: 82% R2: 64%