Dataset Information

Temporal and spatial localisation of general movement complexity and variation-Why Gestalt assessment requires experience.

ABSTRACT:

Aim

General movements' assessment (GMA), based on Gestalt perception, identifies infants at risk of cerebral palsy. However, the requirement of ample experience to construct the assessor's inner criteria for abnormal movement hampers its widespread clinical use. This study aims to describe details of general movements (GMs) in various body parts and to investigate their association with GMA-Gestalt.

Methods

Participants were 24 typically developing infants and 22 very-high-risk infants. GMs were assessed during the writhing (0-8 weeks) and/or fidgety GM phase (2-5 months) by GMA-Gestalt and a semi-quantification of the duration of simple movements and complex movements in various body parts.

Results

During both GM phases, the quality of movement often varied within a single assessment, but the degree of complexity and variation of movements in trunk, arms and legs were interrelated (? = 0.32-0.84). Longer durations of complex movements in arms and legs (P < .042) were further associated with a better quality in GMA-Gestalt. Head movement was associated with movements in other body parts only in the writhing phase and not associated with GMA-Gestalt during both GM phases.

Conclusion

Infants did not show consistently over time and across body parts simple or complex movements. Detailed description of movement characteristics may facilitate the development of computer-based GMA.

SUBMITTER: Wu YC

PROVIDER: S-EPMC7818473 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Temporal and spatial localisation of general movement complexity and variation-Why Gestalt assessment requires experience.

Wu Ying-Chin YC van Rijssen Ilse M IM Buurman Maria T MT Dijkstra Linze-Jaap LJ Hamer Elisa G EG Hadders-Algra Mijna M

Acta paediatrica (Oslo, Norway : 1992) 20200622 1

<h4>Aim</h4>General movements' assessment (GMA), based on Gestalt perception, identifies infants at risk of cerebral palsy. However, the requirement of ample experience to construct the assessor's inner criteria for abnormal movement hampers its widespread clinical use. This study aims to describe details of general movements (GMs) in various body parts and to investigate their association with GMA-Gestalt.<h4>Methods</h4>Participants were 24 typically developing infants and 22 very-high-risk in ...[more]

PMID: 32274828

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Project description:BackgroundThe movement behavior of an animal is determined by extrinsic and intrinsic factors that operate at multiple spatio-temporal scales, yet much of our knowledge of animal movement comes from studies that examine only one or two scales concurrently. Understanding the drivers of animal movement across multiple scales is crucial for understanding the fundamentals of movement ecology, predicting changes in distribution, describing disease dynamics, and identifying efficient methods of wildlife conservation and management.MethodsWe obtained over 400,000 GPS locations of wild pigs from 13 different studies spanning six states in southern U.S.A., and quantified movement rates and home range size within a single analytical framework. We used a generalized additive mixed model framework to quantify the effects of five broad predictor categories on movement: individual-level attributes, geographic factors, landscape attributes, meteorological conditions, and temporal variables. We examined effects of predictors across three temporal scales: daily, monthly, and using all data during the study period. We considered both local environmental factors such as daily weather data and distance to various resources on the landscape, as well as factors acting at a broader spatial scale such as ecoregion and season.ResultsWe found meteorological variables (temperature and pressure), landscape features (distance to water sources), a broad-scale geographic factor (ecoregion), and individual-level characteristics (sex-age class), drove wild pig movement across all scales, but both the magnitude and shape of covariate relationships to movement differed across temporal scales.ConclusionsThe analytical framework we present can be used to assess movement patterns arising from multiple data sources for a range of species while accounting for spatio-temporal correlations. Our analyses show the magnitude by which reaction norms can change based on the temporal scale of response data, illustrating the importance of appropriately defining temporal scales of both the movement response and covariates depending on the intended implications of research (e.g., predicting effects of movement due to climate change versus planning local-scale management). We argue that consideration of multiple spatial scales within the same framework (rather than comparing across separate studies post-hoc) gives a more accurate quantification of cross-scale spatial effects by appropriately accounting for error correlation.

Dataset Information

Temporal and spatial localisation of general movement complexity and variation-Why Gestalt assessment requires experience.

Aim

Methods

Results

Conclusion

Publications

Temporal and spatial localisation of general movement complexity and variation-Why Gestalt assessment requires experience.

Similar Datasets

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