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 3: Multiple variable linear regression parameters for models of longitudinal ΔMCS
Predictors ΔMCS Model Parameters Default Mode Network Model ASLN Model β P Value β P Value  ΔWMH –7.86 ×10−7 .013 7.21 ×10−7 .067  ΔrTBV 0.14 .030 0.1106 .17