Morphometricity as a measure of the neuroanatomical signature of a trait
Complex physiological and behavioral traits, including neurological and psychiatric disorders, often associate with distributed anatomical variation. This paper introduces a global metric, called morphometricity, as a measure of the anatomical signature of different traits. Morphometricity is define...
Main Authors: | Ge, Tian (Author), Holmes, Avram J. (Author), Smoller, Jordan W. (Author), Buckner, Randy L. (Author), Alzheimer's Disease Neuroimaging Initiative (Author), Sabuncu, Mert R (Contributor), Fischl, Bruce (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
National Academy of Sciences (U.S.),
2017-05-11T17:49:49Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Multidimensional heritability analysis of neuroanatomical shape
by: Tian Ge, et al.
Published: (2016-11-01) -
Multidimensional heritability analysis of neuroanatomical shape
by: Ge, Tian, et al.
Published: (2017) -
Massively expedited genome-wide heritability analysis (MEGHA)
by: Ge, Tian, et al.
Published: (2015) -
Using path signatures to predict a diagnosis of Alzheimer's disease.
by: P J Moore, et al.
Published: (2019-01-01) -
Neuroanatomical Correlates of Recognizing Face Expressions in Mild Stages of Alzheimer's Disease.
by: Laurie-Anne Sapey-Triomphe, et al.
Published: (2015-01-01)