Cerebellar development and its mediation role in cognitive planning in childhood

Kipping, Judy; Xie, Yingyao; Qiu, Anqi

doi:10.1002/hbm.24346

Cited by 10 publications

(5 citation statements)

References 91 publications

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“…The cerebellum has been associated with higher‐order functions such as balance, coordination, motor control and complex motor learning ability, cognitive functions and behaviour (Bolduc et al, 2012; Makris et al, 2003; Park et al, 2014; Stoodley, 2012). Childhood and adolescence are critical processes for the development of the cerebellum and for cognitive planning (Kipping et al, 2018; Tiemeier et al, 2010). The cerebellum is frequently studied in neurodevelopmental disorders and is known to be vulnerable to environmental influences in early childhood (Tiemeier et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Automatic segmentation of the cerebellum using volBrain software in normal paediatric population

Turamanlar

Kundakci

Saritas

et al. 2023

Intl J of Devlp Neuroscience

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Background Morphological differences that can lead to cerebellar volume changes are associated with the pathogenesis of paediatric diseases. The aim of this study was to examine cerebellum volume in a healthy paediatric population. Materials and methods To provide MRI‐based volumetric measurements of the cerebellum, images from the years 2019 to 2021 were scanned retrospectively. A total of 100 images, including the paediatric population aged 0–15 years, were imported into the volBrain software. Volumetric segmentations were obtained automatically, and each lobular cerebellar volume was obtained. The samples were divided into groups of 0–2 years (n = 18), 3–5 years (n = 24), 6–11 years (n = 34) and 12–15 years (n = 24). Obtained cerebellar volumes, age groups, gender and bilateral side comparisons were made. Results In the comparative analyses performed for the total cerebellum and each of the 12 lobular segments, statistically significant differences were found between the age groups in all measurements except Crus II, lobules VIIB, VIIIA and VIIIB (p < 0.05). In multiple comparison tests, statistically significant differences were found between defined age groups, especially infants and toddlers and early adolescence groups (p < 0.05). There was a significant positive correlation between the ages of the subjects and their cerebellum volumes (p < 0.05). Statistically significant differences were found in lobules I–II, VI, VIIIB, IX and X in right and left side volumes (p < 0.05). Conclusion There is a tendency to increase in cerebellar volume during the transition from childhood to adolescence. The cerebellum has volumetric differences in the first years of life and during adolescence. When the development of a healthy cerebellum is analysed based on volumetric segmentation, differences are observed. The findings of this study may be useful in confirming various theories attributed to the cerebellum in the clinic.

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Section: Discussionmentioning

confidence: 99%

Automatic segmentation of the cerebellum using volBrain software in normal paediatric population

Turamanlar

Kundakci

Saritas

et al. 2023

Intl J of Devlp Neuroscience

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“…In children with cerebellar tumours of lower malignancy, these problems regressed after about three years, unless the lesion involved the dentate nucleus, in which case the dysfunctions appeared to be permanent. Kipping et al (2018) provided evidence that planning ability during childhood could partially be achieved through the engagement of the lateral cerebellum.…”

Section: Discussionmentioning

confidence: 99%

Involvement of the cerebellum in the regulation of executive functions in children—Preliminary analysis based on a neuropsychological study of children after cerebellar tumour surgery

et al. 2022

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AimPreliminary assessment of executive functions in children with cerebellar lesions, description of their emotional-social functioning and selection of sensitive neuropsychological tools to detect the cerebellar cognitive affective syndrome (CCAS).Materials and methodsThe study group consisted of 10 children after cerebellar tumour surgery. The control group consisted of 10 healthy children, matched for age and sex: The IDS-2 executive functions battery, the Conners 3 ADHD questionnaire, the Autism Spectrum Rating Scales (ASRS) and the International Cooperative Ataxia Rating Scale (ICARS) were used.ResultsStatistical analysis showed statistically significant differences between the experimental and control groups in terms of two dimensions of executive functioning. Children from experimental group was characterised by worse planning and divided attention than healthy controls. Moreover children with cerebellar lesions were characterised by significantly higher levels of some behaviours similar to that observed in autism spectrum disorders, namely difficulties in social relationships, self-regulation of emotions, attention, and greater behavioural rigidity. Test power analysis and estimation of the effect size by the Cohen’s d coefficient indicated that with a slight increase in the size of the experimental group, the probability of detecting statistically significant difference in the executive functions total measure score as well as in several ASRS subscales increased, but not in Conners 3 subscales.ConclusionsCerebellar damage may pose a risk for dysexecutive syndrome and social-emotional problems in children. The IDS-2 executive functions battery and the ASRS test are sufficiently sensitive tools to assess elements of the CCAS in children.

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“…According to previous studies, the white matter was more activated than gray matter during DSYM task, suggesting that DSYM ability is more related to white matter than gray matter ( Colom et al, 2010 ; Gawryluk et al, 2014 ). The SOC is a complex cognitive task that requires whole brain connectivity, which means that the white matter might play a mediation role in SOC performance improvement across childhood ( Kipping et al, 2018 ). The performance of our predictive models was comparable to previous models.…”

Section: Discussionmentioning

confidence: 99%

Mapping white matter structural covariance connectivity for single subject using wavelet transform with T1-weighted anatomical brain MRI

Wang

Zhao

2022

Front. Neurosci.

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IntroductionCurrent studies of structural covariance networks were focused on the gray matter in the human brain. The structural covariance connectivity in the white matter remains largely unexplored. This paper aimed to build novel metrics that can infer white matter structural covariance connectivity, and to explore the predictive power of the proposed features.MethodsTo this end, a cohort of 315 adult subjects with the anatomical brain MRI datasets were obtained from the publicly available Dallas Lifespan Brain Study (DLBS) project. The 3D wavelet transform was applied on the individual voxel-based morphology (VBM) volume to obtain the white matter structural covariance connectivity. The predictive models for cognitive functions were built using support vector regression (SVR).ResultsThe predictive models exhibited comparable performance with previous studies. The novel features successfully predicted the individual ability of digit comparison (DC) (r = 0.41 ± 0.01, p < 0.01) and digit symbol (DSYM) (r = 0.5 ± 0.01, p < 0.01). The sensorimotor-related white matter system exhibited as the most predictive network node. Furthermore, the node strengths of sensorimotor mode were significantly correlated to cognitive scores.DiscussionThe results suggested that the white matter structural covariance connectivity was informative and had potential for predictive tasks of brain-behavior research.

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Cerebellar development and its mediation role in cognitive planning in childhood

Cited by 10 publications

References 91 publications

Automatic segmentation of the cerebellum using volBrain software in normal paediatric population

Automatic segmentation of the cerebellum using volBrain software in normal paediatric population

Involvement of the cerebellum in the regulation of executive functions in children—Preliminary analysis based on a neuropsychological study of children after cerebellar tumour surgery

Mapping white matter structural covariance connectivity for single subject using wavelet transform with T1-weighted anatomical brain MRI

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