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Efficiency of Sensorimotor Networks: Posture and Gait in Young and Older Adults.

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Title: Efficiency of Sensorimotor Networks: Posture and Gait in Young and Older Adults.
Authors: Di Scala, G., Dupuy, M., Guillaud, E., Doat, E., Barse, E., Dillhareguy, B., Jean, F.A.M., Audiffren, M., Cazalets, J.R., Chanraud, S.
Source: Experimental Aging Research. Jan/Feb2019, Vol. 45 Issue 1, p41-56. 16p. 1 Diagram, 4 Charts, 1 Graph.
Subjects: Diagnosis of brain abnormalities, Diagnosis, Gait in humans, Magnetic resonance imaging, Motor ability, Posture, Research, Sensorimotor integration, Adults, Old age
Abstract: Background/Study context: Posture and gait are complex sensorimotor functions affected by age. These difficulties are particularly apparent when performing cognitively demanding tasks. Characterizing the functional organization of brain networks involved in these associations remains a challenge because of the incompatibility of brain imagery techniques with gross body movements. The present study aimed at testing whether resting-state functional connectivity of sensorimotor networks is associated with posture and gait performance recorded offline, in young and older adults. Methods: Young (n = 12, mean = 24.1 y/o) and older (n = 14, mean = 65.6 y/o) healthy adults were tested for stability of their posture and gait. Four hours later, anatomical and functional brain imaging data were collected with Magnetic Resonance Imaging (MRI). Bilateral precentral and postcentral gyri were used as seeds in a graph theory analysis focused on global and local efficiency. The possible association between these data and posture and gait performance was examined. Results: Both samples presented similar sensorimotor graphs, but with different global and local efficiencies (small world properties). The association between the networks' graph measures and posture and gait performance also differed across groups: local efficiency was correlated with gait stability in challenging conditions in older adults, but not in young adults. Conclusion: This exploratory study suggests that combining analyses of functional networks and offline body movement may provide important information about motor function. In older adults, the association between graph properties of the sensorimotor network and gait performance in challenging conditions may be indicative of compensatory processes. Prospective studies involving more subjects with a larger age range are warranted. [ABSTRACT FROM AUTHOR]
Copyright of Experimental Aging Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Experimental+Aging+Research%22">Experimental Aging Research</searchLink>. Jan/Feb2019, Vol. 45 Issue 1, p41-56. 16p. 1 Diagram, 4 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+brain+abnormalities%22">Diagnosis of brain abnormalities</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Gait+in+humans%22">Gait in humans</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+ability%22">Motor ability</searchLink><br /><searchLink fieldCode="DE" term="%22Posture%22">Posture</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Sensorimotor+integration%22">Sensorimotor integration</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink>
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  Data: Background/Study context: Posture and gait are complex sensorimotor functions affected by age. These difficulties are particularly apparent when performing cognitively demanding tasks. Characterizing the functional organization of brain networks involved in these associations remains a challenge because of the incompatibility of brain imagery techniques with gross body movements. The present study aimed at testing whether resting-state functional connectivity of sensorimotor networks is associated with posture and gait performance recorded offline, in young and older adults. Methods: Young (n = 12, mean = 24.1 y/o) and older (n = 14, mean = 65.6 y/o) healthy adults were tested for stability of their posture and gait. Four hours later, anatomical and functional brain imaging data were collected with Magnetic Resonance Imaging (MRI). Bilateral precentral and postcentral gyri were used as seeds in a graph theory analysis focused on global and local efficiency. The possible association between these data and posture and gait performance was examined. Results: Both samples presented similar sensorimotor graphs, but with different global and local efficiencies (small world properties). The association between the networks' graph measures and posture and gait performance also differed across groups: local efficiency was correlated with gait stability in challenging conditions in older adults, but not in young adults. Conclusion: This exploratory study suggests that combining analyses of functional networks and offline body movement may provide important information about motor function. In older adults, the association between graph properties of the sensorimotor network and gait performance in challenging conditions may be indicative of compensatory processes. Prospective studies involving more subjects with a larger age range are warranted. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Experimental Aging Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/0361073X.2018.1560108
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        Text: English
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        PageCount: 16
        StartPage: 41
    Subjects:
      – SubjectFull: Diagnosis of brain abnormalities
        Type: general
      – SubjectFull: Diagnosis
        Type: general
      – SubjectFull: Gait in humans
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      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Motor ability
        Type: general
      – SubjectFull: Posture
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Sensorimotor integration
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      – SubjectFull: Adults
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      – SubjectFull: Old age
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      – TitleFull: Efficiency of Sensorimotor Networks: Posture and Gait in Young and Older Adults.
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              Text: Jan/Feb2019
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