Global broadcasting of local fractal fluctuations in a bodywide distributed system supports perception via effortful touch

A long history of research has pointed to the importance of fractal fluctuations in physiology, but so far, the physiological evidence of fractal fluctuations has been piecemeal and without clues to bodywide integration. What remains unknown is how fractal fluctuations might interact across the body and how those interactions might support the coordination of goal-directed behaviors. We demonstrate that a complex interplay of fractality in mechanical fluctuations across the body supports a more accurate perception of heaviness and length of occluded handheld objects via effortful touch in blindfolded individuals. For a given participant, the flow of fractal fluctuation through the body indexes the flow of perceptual information used to derive perceptual judgments. These patterns in the waxing and waning of fluctuations across disparate anatomical locations provide novel insights into how the high-dimensional flux of mechanotransduction is compressed into low-dimensional perceptual information specifying properties of hefted occluded objects.

[1]  M T Turvey,et al.  Obtaining information by dynamic (effortful) touching , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[2]  Alen Hajnal,et al.  Transfer of calibration between hand and foot: Functional equivalence and fractal fluctuations , 2011, Attention, perception & psychophysics.

[3]  Damian G. Kelty-Stephen,et al.  Fractal Fluctuations in Quiet Standing Predict the Use of Mechanical Information for Haptic Perception , 2012, Annals of Biomedical Engineering.

[4]  Damian G. Kelty-Stephen,et al.  Multifractal evidence of nonlinear interactions stabilizing posture for phasmids in windy conditions: A reanalysis of insect postural-sway data , 2018, PloS one.

[5]  Donald E Ingber,et al.  Tensegrity and mechanotransduction. , 2008, Journal of bodywork and movement therapies.

[6]  Steven J. Harrison,et al.  Comparison of Dynamic (Effortful) Touch by Hand and Foot , 2007, Journal of motor behavior.

[7]  Damian G. Kelty-Stephen,et al.  Fractal fluctuations in muscular activity contribute to judgments of length but not heaviness via dynamic touch , 2019, Experimental Brain Research.

[8]  Lea Fleischer,et al.  The Senses Considered As Perceptual Systems , 2016 .

[9]  A. Chemero.  Radical Embodied Cognitive Science , 2009 .

[10]  Peter J Beek,et al.  Which mechanical invariants are associated with the perception of length and heaviness of a nonvisible handheld rod? Testing the inertia tensor hypothesis. , 2004, Journal of experimental psychology. Human perception and performance.

[11]  C. Peng,et al.  Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[12]  R. Glenny,et al.  Applications of fractal analysis to physiology. , 1991, Journal of applied physiology.

[13]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[14]  Michael T Turvey,et al.  The Medium of Haptic Perception: A Tensegrity Hypothesis , 2014, Journal of motor behavior.

[15]  M T Turvey,et al.  Can shape be perceived by dynamic touch? , 1990, Perception & psychophysics.

[16]  T. Higuchi,et al.  Turning perception on its head: cephalic perception of whole and partial length of a wielded object , 2016, Experimental Brain Research.

[17]  Madhur Mangalam,et al.  Multiplicative-cascade dynamics supports whole-body coordination for perception via effortful touch. , 2020, Human movement science.

[18]  Damian G. Kelty-Stephen,et al.  Bodywide fluctuations support manual exploration: Fractal fluctuations in posture predict perception of heaviness and length via effortful touch by the hand. , 2019, Human movement science.

[19]  M T Turvey,et al.  Perceiving the width and height of a hand-held object by dynamic touch. , 1998, Journal of experimental psychology. Human perception and performance.

[20]  Helmut Ltkepohl,et al.  New Introduction to Multiple Time Series Analysis , 2007 .

[21]  Shyam B. Khatau,et al.  The LINC-anchored actin cap connects the extracellular milieu to the nucleus for ultrafast mechanotransduction , 2013, Scientific Reports.

[22]  Patrick A. Cabe,et al.  All Perception Engages the Tensegrity-Based Haptic Medium , 2018, Ecological Psychology.

[23]  Claudia Carello,et al.  Inertial eigenvalues, rod density, and rod diameter in length perception by dynamic touch , 1998, Perception & psychophysics.

[24]  A. Clark,et al.  Sensorimotor skills and perception , 2006 .

[25]  M T Turvey,et al.  Role of the inertia tensor in perceiving object orientation by dynamic touch. , 1992, Journal of experimental psychology. Human perception and performance.

[26]  C. Sims.  MACROECONOMICS AND REALITY , 1977 .

[27]  Donald E. Ingber,et al.  From Cellular Mechanotransduction to Biologically Inspired Engineering , 2010, Annals of Biomedical Engineering.

[28]  Donald E. Ingber,et al.  Tensegrity-based mechanosensing from macro to micro. , 2008, Progress in biophysics and molecular biology.

[29]  W. H. Warren.  The dynamics of perception and action. , 2006, Psychological review.

[30]  J. Wagman,et al.  Getting off on the right (or left) foot: perceiving by means of a rod attached to the preferred or non-preferred foot , 2014, Experimental Brain Research.

[31]  M T Turvey,et al.  Eigenvectors of the inertia tensor and perceiving the orientation of a hand-held object by dynamic touch , 1992, Perception & psychophysics.

[32]  D. Ingber,et al.  Cellular mechanotransduction: putting all the pieces together again , 2006, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[33]  M. Turvey.  Action and perception at the level of synergies. , 2007, Human movement science.

[34]  Damian G. Kelty-Stephen,et al.  Fractal fluctuations in exploratory movements predict differences in dynamic touch capabilities between children with Attention-Deficit Hyperactivity Disorder and typical development , 2019, PloS one.

[35]  James B. Bassingthwaighte,et al.  The Fractal Nature of Myocardial Blood Flow Emerges from a Whole-Organ Model of Arterial Network , 2000, Journal of Vascular Research.

[36]  I. Kingma,et al.  The Inertia Tensor Versus Static Moment and Mass in Perceiving Length and Heaviness of Hand-Wielded Rods , 2002 .

[37]  L. Guzmán-Vargas,et al.  Synchronization and 1/f signals in interacting small-world networks , 2017 .

[38]  Bruce J. West,et al.  Nonlinear dynamical model of human gait. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[39]  Damian G. Stephen,et al.  The role of fractality in perceptual learning: exploration in dynamic touch. , 2010, Journal of experimental psychology. Human perception and performance.

[40]  Peter Herman,et al.  Pitfalls in Fractal Time Series Analysis: fMRI BOLD as an Exemplary Case , 2012, Front. Physio..

[41]  P. Krugman,et al.  Persistent Trade Effects of Large Exchage Rate Shocks , 1986 .

[42]  Christopher T. Kello,et al.  Critical branching neural networks. , 2013, Psychological review.

[43]  M T Turvey,et al.  Attentionally splitting the mass distribution of hand-held rods , 1991, Perception & Psychophysics.

[44]  Hengameh Shams,et al.  A Disulfide Bond Is Required for the Transmission of Forces through SUN-KASH Complexes. , 2015, Biophysical journal.

[45]  Bruce J. West,et al.  Maximizing information exchange between complex networks , 2008 .

[46]  M T Turvey,et al.  Principles of Part–Whole Selective Perception by Dynamic Touch Extend to the Torso , 2011, Journal of motor behavior.

[47]  Damian G. Kelty-Stephen,et al.  Interwoven fluctuations during intermodal perception: fractality in head sway supports the use of visual feedback in haptic perceptual judgments by manual wielding. , 2014, Journal of experimental psychology. Human perception and performance.

[48]  Michael A. Riley,et al.  Information and Its Detection , 2019 .

[49]  S. Fonseca,et al.  Dynamic touch is affected in children with cerebral palsy. , 2014, Human movement science.

[50]  Jeffrey B. Wagman,et al.  Perception as Information Detection , 2019 .

[51]  Douglas M. Bates,et al.  LINEAR AND NONLINEAR MIXED-EFFECTS MODELS , 1998 .

[52]  Erhard Bieberich,et al.  Recurrent fractal neural networks: a strategy for the exchange of local and global information processing in the brain. , 2002, Bio Systems.

[53]  Claudia Carello,et al.  Haptic perceptual intent in quiet standing affects multifractal scaling of postural fluctuations. , 2014, Journal of experimental psychology. Human perception and performance.

[54]  Larry S. Liebovitch,et al.  TRANSITION FROM PERSISTENT TO ANTIPERSISTENT CORRELATION IN BIOLOGICAL SYSTEMS , 1997 .

[55]  Abdulnasser Hatemi-J,et al.  Multivariate tests for autocorrelation in the stable and unstable VAR models , 2004 .

[56]  M T Turvey,et al.  Tensorial basis to the constancy of perceived object extent over variations of dynamic touch , 1993, Perception & psychophysics.

[57]  G. V. van Orden,et al.  Self-organization of cognitive performance. , 2003, Journal of experimental psychology. General.

[58]  Claudia Carello,et al.  Haptic selective attention by foot and by hand , 2007, Neuroscience Letters.

[59]  J. Wagman,et al.  Task specificity and anatomical independence in perception of properties by means of a wielded object. , 2014, Journal of experimental psychology. Human perception and performance.

[60]  Sebastian Wallot,et al.  Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation , 2011, Front. Integr. Neurosci..