Literature DB >> 27576271

Movements Indicate Threat Response Phases in Children at Risk for Anxiety.

Ellen W McGinnis, Ryan S McGinnis, Maria Muzik, Jessica Hruschak, Nestor L Lopez-Duran, Noel C Perkins, Kate Fitzgerald, Katherine L Rosenblum.   

Abstract

Temporal phases of threat response, including potential threat (anxiety), acute threat (startle, fear), and post-threat response modulation, have been identified as the underlying markers of anxiety disorders. Objective measures of response during these phases may help identify children at risk for anxiety; however, the complexity of current assessment techniques prevent their adoption in many research and clinical contexts. We propose an alternative technology, an inertial measurement unit (IMU), that enables noninvasive measurement of the movements associated with threat response, and test its ability to detect threat response phases in young children at a heightened risk for developing anxiety. We quantified the motion of 18 children (3-7 years old) during an anxiety-/fear-provoking behavioral task using an IMU. Specifically, measurements from a single IMU secured to the child's waist were used to extract root-mean-square acceleration and angular velocity in the horizontal and vertical directions, and tilt and yaw range of motion during each threat response phase. IMU measurements detected expected differences in child motion by threat phase. Additionally, potential threat motion was positively correlated to familial anxiety risk, startle range of motion was positively correlated with child internalizing symptoms, and response modulation motion was negatively correlated to familial anxiety risk. Results suggest differential theory-driven threat response phases and support previous literature connecting maternal child risk to anxiety with behavioral measures using more feasible objective methods. This is the first study demonstrating the utility of an IMU for characterizing the motion of young children to mark the phases of threat response modulation. The technique provides a novel and objective measure of threat response for mental health researchers.

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Year:  2016        PMID: 27576271      PMCID: PMC5326613          DOI: 10.1109/JBHI.2016.2603159

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  21 in total

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2.  Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement.

Authors:  Ryan S McGinnis; Stephen M Cain; Sui Tao; David Whiteside; Grant C Goulet; Elizabeth C Gardner; Asheesh Bedi; Noel C Perkins
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3.  Maternal mental representations of the child in an inner-city clinical sample: violence-related posttraumatic stress and reflective functioning.

Authors:  Daniel S Schechter; Tammy Coots; Charles H Zeanah; Mark Davies; Susan W Coates; Kimberly A Trabka; Randall D Marshall; Michael R Liebowitz; Michael M Myers
Journal:  Attach Hum Dev       Date:  2005-09

4.  Early preschool predictors of preadolescent internalizing and externalizing DSM-IV diagnoses.

Authors:  J Mesman; H M Koot
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2001-09       Impact factor: 8.829

5.  Preschool Depression: The Importance of Identification of Depression Early in Development.

Authors:  Joan L Luby
Journal:  Curr Dir Psychol Sci       Date:  2010-05-10

6.  Affective modulation of the startle response among children at high and low risk for anxiety disorders.

Authors:  A Kujawa; C R Glenn; G Hajcak; D N Klein
Journal:  Psychol Med       Date:  2015-04-27       Impact factor: 7.723

7.  Developmental changes in startle reactivity in school-age children at risk for and with actual anxiety disorder.

Authors:  Allison M Waters; Michelle G Craske; R Lindsey Bergman; Bruce D Naliboff; Hideki Negoro; Edward M Ornitz
Journal:  Int J Psychophysiol       Date:  2008-07-28       Impact factor: 2.997

8.  Prevalence of civilian trauma and posttraumatic stress disorder in a representative national sample of women.

Authors:  H S Resnick; D G Kilpatrick; B S Dansky; B E Saunders; C L Best
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9.  Individual differences in cortisol responses to fear and frustration during middle childhood.

Authors:  Nestor L Lopez-Duran; Nastassia J Hajal; Sheryl L Olson; Barbara T Felt; Delia M Vazquez
Journal:  J Exp Child Psychol       Date:  2009-05-01

Review 10.  Anxiety in a neglected population: prevalence of anxiety disorders in pre-adolescent children.

Authors:  Sam Cartwright-Hatton; Kirsten McNicol; Elizabeth Doubleday
Journal:  Clin Psychol Rev       Date:  2006-03-03
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  4 in total

1.  Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

Authors:  Ryan S McGinnis; Ellen W McGinnis; Jessica Hruschak; Nestor L Lopez-Duran; Kate Fitzgerald; Katherine L Rosenblum; Maria Muzik
Journal:  PLoS One       Date:  2019-01-16       Impact factor: 3.240

2.  Advancing Digital Medicine with Wearables in the Wild.

Authors:  Ryan S McGinnis; Ellen W McGinnis
Journal:  Sensors (Basel)       Date:  2022-06-17       Impact factor: 3.847

3.  Wearable sensors detect childhood internalizing disorders during mood induction task.

Authors:  Ellen W McGinnis; Ryan S McGinnis; Jessica Hruschak; Emily Bilek; Ka Ip; Diana Morlen; Jamie Lawler; Nestor L Lopez-Duran; Kate Fitzgerald; Katherine L Rosenblum; Maria Muzik
Journal:  PLoS One       Date:  2018-04-25       Impact factor: 3.240

Review 4.  Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.

Authors:  Reed D Gurchiek; Nick Cheney; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

  4 in total

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