Developmental Trajectories in Spatial Visualization and Mental Rotation in Individuals with Down Syndrome

Doerr, Elizabeth; Carretti, Barbara; Toffalini, Enrico; Lanfranchi, Silvia; Meneghetti, Chiara

doi:10.3390/brainsci11050610

Cited by 7 publications

(2 citation statements)

References 59 publications

(111 reference statements)

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“…The model enables for simultaneous ML inference on all model parameters, including the changepoint location. According to Google Scholar, SEGMENTED was cited in over 1500 articles in a wide variety of scientific domains, from developmental psychology [10] to epidemiology [11].…”

Section: Segmented Methodsmentioning

confidence: 99%

Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

et al. 2022

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An important problem in many fields dealing with noisy time series, such as psychophysiological single trial data during learning or monitoring treatment effects over time, is detecting a change in the model underlying a time series. Here, we present a new method for detecting a single changepoint in a linear time series regression model, termed residuals permutation-based method (RESPERM). The optimal changepoint in RESPERM maximizes Cohen’s effect size with the parameters estimated by the permutation of residuals in a linear model. RESPERM was compared with the SEGMENTED method, a well-established and recommended method for detecting changepoints, using extensive simulated data sets, varying the amount and distribution characteristics of noise and the location of the change point. In time series with medium to large amounts of noise, the variance of the detected changepoint was consistently smaller for RESPERM than SEGMENTED. Finally, both methods were applied to a sample dataset of single trial amplitudes of the N250 ERP component during face learning. In conclusion, RESPERM appears to be well suited for changepoint detection especially in noisy data, making it the method of choice in neuroscience, medicine and many other fields.

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Section: Segmented Methodsmentioning

confidence: 99%

Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

et al. 2022

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“…The potential role of gender and years of education in self-reported wayfinding inclinations is conjointly considered. The analysis of trajectory is an interesting approach to examine the development of spatial skills with age, which is frequently used in the development domain from infancy to adolescence (Doerr et al, 2021 ; Hodgkiss et al, 2021 ) with some evidence in the elderly (Karlsson et al, 2015 ). We hypothesize that aging may increase a sense of direction (Cheng et al, 2022 ) and spatial anxiety (van der Ham et al, 2021 ) and decrease attitudes toward exploring (Muffato et al, 2022a , b ).…”

Section: Introductionmentioning

confidence: 99%

Trajectories across the healthy adult lifespan on sense of direction, spatial anxiety, and attitude in exploring places

et al. 2023

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IntroductionSelf-evaluations about orientation and navigation in the environment contribute to individual differences in spatial cognition. Evidence suggests that they may change, even slightly, with the progression of adulthood. It is necessary to improve the framing of environment-related subjective self-evaluations in adulthood and aging by examining how they change and the factors related to them. Therefore, this study aimed to examine the developmental trajectories of sense of direction, spatial anxiety, and attitude in exploring place across the adult lifespan while also considering gender and education.Materials and methodsA sample of 1,946 participants (1,068 women), aged 18–87 years, completed the sense of direction and spatial representation, spatial anxiety, and attitude in exploring scales.ResultsThe regression models showed a linear increase in sense of direction with age, stable spatial anxiety until age 66 years when anxiety began increasing, and a stable attitude in exploring with a deflection by age 71 years. Gender played a role in all three types of self-evaluations, with men reporting higher ratings in sense of direction and attitude toward exploring (especially in older men), and lower levels of spatial anxiety than women did. Education also played a role, with higher education years associated with lower ratings in spatial anxiety and a higher sense of direction, nullifying gender differences in the latter.DiscussionThese results offer, in the spatial cognition framework, a better understanding of how specific environment-related self-evaluations develop with age and related factors, such as education. This underscores the importance of enhancing them, particularly in women and older adults.

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Spatial abilities in Down syndrome: Characterising the profile of spatial skills and models of spatial development

Morris

Farran

Gilligan-Lee

2023

Cognitive Development

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Developmental Trajectories in Spatial Visualization and Mental Rotation in Individuals with Down Syndrome

Cited by 7 publications

References 59 publications

Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

Trajectories across the healthy adult lifespan on sense of direction, spatial anxiety, and attitude in exploring places

Spatial abilities in Down syndrome: Characterising the profile of spatial skills and models of spatial development

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