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 4:Age dependent volume of the study subjects
Volume or Compartment Volume (cm3) R ICV By pixel count V = 1510 + 252 log(age) 0.680 By the model V = 1492 + 242 log(age) 0.671 Brain tissue V = 348 + 111 log(age) 0.773 Brain tissue and CSF V = 218 − 11 log(age) 0.159* CSF V = 276 + 36 log(age) 0.548
Note.—Subjects’ age range was 0.01–17 years.
* Correlation is not significant.