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:Correlations between rCBV and fractional MVA under different PLD and modeling conditionsa
Conditions for rCBV Measurement Pearson Correlation (r) P Value Spearman Correlation (ρ) P Value Fractional MVA 1.00 – 1.00 – No PLD (IBN) 0.46 .02 0.33 .12 No PLD (NICE + gvf) 0.51 .01 0.26 .19 No PLD (NICE − gvf) 0.35 .10 0.18 .39 PLD (IBN) 0.64 <.001 0.58 .001 PLD (NICE + gvf) 0.53 <.01 0.28 .15 PLD (NICE − gvf) 0.59 .001 0.40 .04
Note:—+ indicates with; −, without; –, not applicable; gvf, γ variate fitting.
↵a Both PLD correction and IBN software modeling were needed to achieve maximal correlation.