The Mullen scales of early learning: ceiling effects among preschool children

Yitzhak, Neta; Harel, Ayelet; Yaari, Maya; Friedlander, Edwa; Yirmiya, Nurit

doi:10.1080/17405629.2015.1073584

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…We also used cognitive data that were collected within a month around each fMRI data collection. Specifically, we used ELC cognitive scores defined in Mullen Scales of Early Learning (Yitzhak et al, 2016), which is a composite of the expressive language, fine motor, receptive language, and visual reception scores. We selected age-equivalent scores for our study because they are more suitable for research related to longitudinal cognitive scores (Mullen, 1989).…”

Section: Subjects and Image Acquisitionmentioning

confidence: 99%

“…To explore whether the most contributive networks for a functional connectome fingerprint are also predictive for infant cognitive performance, the whole brain and the frontoparietal connectivity profile, were separately used to predict the ELC score in the Mullen Scales of Early Learning assessment (Yitzhak et al, 2016). The ELC score is the aggregation of scores of the fine motor, visual reception, receptive language, and expressive language domains.…”

Section: Cognitive Score Predictionmentioning

confidence: 99%

See 1 more Smart Citation

Existence of Functional Connectome Fingerprint during Infancy and Its Stability over Months

Wang

Zhang

et al. 2021

J. Neurosci.

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The functional connectome fingerprint is a cluster of individualized brain functional connectivity patterns that are capable of distinguishing one individual from others. Although its existence has been demonstrated in adolescents and adults, whether such individualized patterns exist during infancy is barely investigated despite its importance in identifying the origin of the intrinsic connectome patterns that potentially mirror distinct behavioral phenotypes. To fill this knowledge gap, capitalizing on a longitudinal high-resolution structural and resting-state functional MRI dataset with 104 human infants (53 females) with 806 longitudinal scans (age, 16-876 d) and infant-specific functional parcellation maps, we observe that the brain functional connectome fingerprint may exist since infancy and keeps stable over months during early brain development. Specifically, we achieve an ;78% individual identification rate by using ;5% selected functional connections, compared with the best identification rate of 60% without connection selection. The frontoparietal networks recognized as the most contributive networks in adult functional connectome fingerprinting retain their superiority in infants despite being widely acknowledged as rapidly developing systems during childhood. The existence and stability of the functional connectome fingerprint are further validated on adjacent age groups. Moreover, we show that the infant frontoparietal networks can reach similar accuracy in predicting individual early learning composite scores as the whole-brain connectome, again resembling the observations in adults and highlighting the relevance of functional connectome fingerprint to cognitive performance. For the first time, these results suggest that each individual may retain a unique and stable marker of functional connectome during early brain development.

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Section: Subjects and Image Acquisitionmentioning

confidence: 99%

Section: Cognitive Score Predictionmentioning

confidence: 99%