title: Autism: the micro-movement perspective.
abstract: The current assessment of behaviors in the inventories to diagnose autism spectrum disorders (ASD) focus on observation and discrete categorizations. Behaviors require movements, yet measurements of physical movements are seldom included. Their inclusion however, could provide an objective characterization of behavior to help unveil interactions between the peripheral and the central nervous systems (CNSs). Such interactions are critical for the development and maintenance of spontaneous autonomy, self-regulation, and voluntary control. At present, current approaches cannot deal with the heterogeneous, dynamic and stochastic nature of development. Accordingly, they leave no avenues for real time or longitudinal assessments of change in a coping system continuously adapting and developing compensatory mechanisms. We offer a new unifying statistical framework to reveal re-afferent kinesthetic features of the individual with ASD. The new methodology is based on the non-stationary stochastic patterns of minute fluctuations (micro-movements) inherent to our natural actions. Such patterns of behavioral variability provide re-entrant sensory feedback contributing to the autonomous regulation and coordination of the motor output. From an early age, this feedback supports centrally driven volitional control and fluid, flexible transitions between intentional and spontaneous behaviors. We show that in ASD there is a disruption in the maturation of this form of proprioception. Despite this disturbance, each individual has unique adaptive compensatory capabilities that we can unveil and exploit to evoke faster and more accurate decisions. Measuring the kinesthetic re-afference in tandem with stimuli variations we can detect changes in their micro-movements indicative of a more predictive and reliable kinesthetic percept. Our methods address the heterogeneity of ASD with a personalized approach grounded in the inherent sensory-motor abilities that the individual has already developed.
authors.affiliation: Psychology Department, Rutgers Center for Cognitive Science, Center for Computational Biomedicine Imaging and Modeling (Computer Science), Movement Disorders, Neurology, Rutgers University School of Medicine, Rutgers University New Brunswick, NJ, USA ; Movement Disorders, Neurology Department, Indiana University School of Medicine Indianapolis, IN, USA.
authors.forename: Elizabeth B
authors.initials: EB
authors.lastname: Torres
authors.forename: Maria
authors.initials: M
authors.lastname: Brincker
authors.forename: Robert W
authors.initials: RW
authors.lastname: Isenhower
authors.forename: Polina
authors.initials: P
authors.lastname: Yanovich
authors.forename: Kimberly A
authors.initials: KA
authors.lastname: Stigler
authors.forename: John I
authors.initials: JI
authors.lastname: Nurnberger
authors.forename: Dimitris N
authors.initials: DN
authors.lastname: Metaxas
authors.forename: Jorge V
authors.initials: JV
authors.lastname: José
keywords: Gamma probability distribution; autism spectrum disorders; non-stationary statistics; spontaneous behavioral variability; stochastic kinesthetic re-afference
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