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Motor noise is rich signal in autism research and pharmacological treatments
The human body is in constant motion, from every breath that we take, to every visibly purposeful action that we perform. Remaining completely still on command is a major achievement as involuntary fluctuations in our motions are difficult to keep under control. Here we examine the noise-to-signal r...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116649/ https://www.ncbi.nlm.nih.gov/pubmed/27869148 http://dx.doi.org/10.1038/srep37422 |
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author | Torres, E. B. Denisova, K. |
author_facet | Torres, E. B. Denisova, K. |
author_sort | Torres, E. B. |
collection | PubMed |
description | The human body is in constant motion, from every breath that we take, to every visibly purposeful action that we perform. Remaining completely still on command is a major achievement as involuntary fluctuations in our motions are difficult to keep under control. Here we examine the noise-to-signal ratio of micro-movements present in time-series of head motions extracted from resting-state functional magnetic resonance imaging scans in 1048 participants. These included individuals with autism spectrum disorders (ASD) and healthy-controls in shared data from the Autism Brain Imaging Data Exchange (ABIDE) and the Attention-Deficit Hyperactivity Disorder (ADHD-200) databases. We find excess noise and randomness in the ASD cases, suggesting an uncertain motor-feedback signal. A power-law emerged describing an orderly relation between the dispersion and shape of the probability distribution functions best describing the stochastic properties under consideration with respect to intelligence quotient (IQ-scores). In ASD, deleterious patterns of noise are consistently exacerbated with the presence of secondary (comorbid) neuropsychiatric diagnoses, lower verbal and performance intelligence, and autism severity. Importantly, such patterns in ASD are present whether or not the participant takes psychotropic medication. These data unambiguously establish specific noise-to-signal levels of head micro-movements as a biologically informed core feature of ASD. |
format | Online Article Text |
id | pubmed-5116649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51166492016-11-28 Motor noise is rich signal in autism research and pharmacological treatments Torres, E. B. Denisova, K. Sci Rep Article The human body is in constant motion, from every breath that we take, to every visibly purposeful action that we perform. Remaining completely still on command is a major achievement as involuntary fluctuations in our motions are difficult to keep under control. Here we examine the noise-to-signal ratio of micro-movements present in time-series of head motions extracted from resting-state functional magnetic resonance imaging scans in 1048 participants. These included individuals with autism spectrum disorders (ASD) and healthy-controls in shared data from the Autism Brain Imaging Data Exchange (ABIDE) and the Attention-Deficit Hyperactivity Disorder (ADHD-200) databases. We find excess noise and randomness in the ASD cases, suggesting an uncertain motor-feedback signal. A power-law emerged describing an orderly relation between the dispersion and shape of the probability distribution functions best describing the stochastic properties under consideration with respect to intelligence quotient (IQ-scores). In ASD, deleterious patterns of noise are consistently exacerbated with the presence of secondary (comorbid) neuropsychiatric diagnoses, lower verbal and performance intelligence, and autism severity. Importantly, such patterns in ASD are present whether or not the participant takes psychotropic medication. These data unambiguously establish specific noise-to-signal levels of head micro-movements as a biologically informed core feature of ASD. Nature Publishing Group 2016-11-21 /pmc/articles/PMC5116649/ /pubmed/27869148 http://dx.doi.org/10.1038/srep37422 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Torres, E. B. Denisova, K. Motor noise is rich signal in autism research and pharmacological treatments |
title | Motor noise is rich signal in autism research and pharmacological treatments |
title_full | Motor noise is rich signal in autism research and pharmacological treatments |
title_fullStr | Motor noise is rich signal in autism research and pharmacological treatments |
title_full_unstemmed | Motor noise is rich signal in autism research and pharmacological treatments |
title_short | Motor noise is rich signal in autism research and pharmacological treatments |
title_sort | motor noise is rich signal in autism research and pharmacological treatments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116649/ https://www.ncbi.nlm.nih.gov/pubmed/27869148 http://dx.doi.org/10.1038/srep37422 |
work_keys_str_mv | AT torreseb motornoiseisrichsignalinautismresearchandpharmacologicaltreatments AT denisovak motornoiseisrichsignalinautismresearchandpharmacologicaltreatments |