Seattle, March 12, 2024

 Dear MorphMetters,

       This email is to tell all of you about a new preprint that was
 just posted today at the public biorXiv server: "Bridging geometric
 morphometrics to medical anatomy: An example from an experimental
 study of the human smile," by John Kent (Leeds), Balvinder
 Khambay (Birmingham), Kanti Mardia (Leeds), and me. In its 61 pages and
 25 figures, the article shows how to manipulate mostly standard
 GMM tools in order to make explicit the match between a
 physiological GMM data set (high-speed cinematography of
 a ten-semilandmark configuration capturing two different types
 of human smiles) and the different geometric actions of the two
 main muscles that produce those two distinct expressions.
 The presentation, a generous elaboration of
 the summary in Section 5.6.9.2 of my 2018 textbook,
 emphasizes how relying on partial warps
 rather than principal components was crucial to a proper biological
 understanding of the striking morphometric
 contrast uncovered here.  In this setting, the action of
 the zygomaticus major muscle emerges as one varimax-rotated
 factor of these data, while the action of the orbicularis
 oris emerges as a different, distinct factor of the same
 data. Of course this finding is not new as physiology.
 The point of the manuscript is instead an intellectual
 one:  by deprecating Procrustes distance (in
 particular, by eschewing principal components analysis),
 GMM can help achieve D'Arcy Thompson's original purpose,
 the "origins of form in force" -- the bridge between
 arithmetic and understanding --
 in a context where change in form is indeed produced
 by physical force, the original mantra of DWT's 1917 method.

        The preprint can be downloaded free of
 charge as a .pdf by redirection from the following link:
        https://doi.org/10.1101/2024.03.07.583999
 It appears there under the rubric of "confirmatory results,
 physiology."

                    Fred Bookstein (for the authors)

      For those of you who like to decide in advance whether the full
 61-page development is worth your time, here is the Abstract.

     The method of Cartesian transformations
 introduced by D'Arcy Thompson a century ago in his
 celebrated book {\sl On Growth and Form}
 precipitated an important development in 20th-century biometrics:
 a fusion of the geometrical and biological approaches to
 morphology. Some decades later this fusion, in turn,
 spun off another multidisciplinary focus,
 {\sl statistical shape analysis,} that bridges between
 biostatistics and biomedical imaging.  Our article is intended to
 seed a complementary focus: a bridge between biostatistics and
 medical anatomy, a field that has to this day remained mainly verbal
 rather than quantitative.
 Specifically, we are proposing a novel methodology for arriving at anatomical
 interpretations of statistical findings about large-scale contrasts of
 organismal morphology or its dynamics by combining
 two toolkits hitherto separate in their
 notation and their disciplinary housing: morphometrics and
 psychometrics. A contemporary morphometric analysis
 deals with patterns of shape coordinate covariation in terms
 of their geometric adjacency; psychometric factor analysis, the same
 patterns of covariation in terms of simplicity of interpretation.
 By combining these tools we account for the dynamics of a
 facial expression in terms of the actions of the
 underlying muscles, thereby realizing Thompson's
 original metaphor, the ``origins of form in force,''
 for systems that ``vary in a more or less uniform manner.''

 This paper reviews the history of Thompson's metaphor and then
 the current literature quantifying smiles, in order to set the
 stage for the combination of scaling analysis and factor analysis
 that we are putting forward. We demonstrate the new approach
 by reanalyzing a data set of ten landmarks around the vermilion
 borders of the human lip contrasting the dynamics of two
 socially stereotyped physiological cycles, the open-lip smile
 and the closed-lip smile, over a sample of 14 normal faces.
 Our analysis centers on just two dimensions of statistical shape
 space, those of largest geometrical scale, which
 can be identified with the action of two different
 muscles, orbicularis oris and zygomaticus major.
 The two smiles differ radically in their
 achieved deformations.  Furthermore, while the closed-lip smiles
 arrived at their final forms along similar shape trajectories,
 the open-lip smiles did not.  Our closing discussion explores
 some aspects of morphodynamics that are illuminated by
 the example here.


~                                                                               
~                                                                      

-- 
You received this message because you are subscribed to the Google Groups 
"Morphmet" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/morphmet2/ZfDi2GWiBRbq0MXL%40brainmap.stat.washington.edu.

Reply via email to