Characterising sleep spindle emergence in infancy: Effects of prematurity and early locomotor intervention

Study objectives: Sleep spindles are thalamocortical oscillations evolving during early brain maturation. In adults, they support memory consolidation and are organised into rhythmic "trains" thought to support memory reactivation. How this temporal organisation emerges in infancy, and whether prematurity or early sensorimotor experience shapes it, remains unclear. This study characterised infant spindles and investigated how prematurity and early locomotor training affect their temporal and spatial organisation, providing insight into early brain maturation. Methods: Daytime high-density EEG sleep recordings were analysed in 50 infants born full-term (n=12) or very preterm (n=38, including 12 who received locomotor training) at 2 months corrected age. Spindle temporal organisation was analysed using a two-step Morlet wavelet transform to quantify slow modulations of spindle-band power (11-16Hz). Time-frequency decomposition around spindle onset was used to identify significant spindle-band scalp-wide activity, and topographical maps were statistically compared between groups. Results: All groups showed rhythmic spindle organisation, three times slower than in adults, with no group differences. Untrained preterm infants showed a more diffuse spindle-band activity than the distinct frontal and central clusters observed in full-term infants. Trained preterm infants exhibited a spatial distribution closely resembling that of full-term infants, although their frontal spindle density was lower than in both other groups. Conclusions: Spindle rhythmic organisation emerged early in infancy and remained unaffected by prematurity or locomotor training. Prematurity was associated with more diffuse spindle-band activity, suggesting reduced cortical specialisation, whereas trained preterm infants showed a spatial distribution resembling that of full-term infants, suggesting that early locomotor experience may influence thalamocortical organisation.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-26
DOI
https://doi.org/10.64898/2026.10.20.760527
Primary Topic
Sleep and Wakefulness Research
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Characterising sleep spindle emergence in infancy: Effects of prematurity and early locomotor intervention

Alice Héneau, Olivier Sibony, Richard Delorme, Amandine Pedoux et al.
bioRxiv (Cold Spring Harbor Laboratory)
Sleep and Wakefulness Research
preprint

Characterising sleep spindle emergence in infancy: Effects of prematurity and early locomotor intervention

Alice Héneau, Olivier Sibony, Richard Delorme, Amandine Pedoux, Hala Nasser, Léa Guéret, Adrien Conessa, Pauliina Yrjölä, Parvaneh Adibpour, Valerie Biran, Marianne Alison, Elodie Hinnekens, Laurie Devisscher, Arnaud Boutin, Amaia Dornier, Jessica Dubois, Aline Gonzalez Carpinteiro, Lucie Hertz Pannier, Marianne Barbu Roth
preprint en

Abstract

Study objectives: Sleep spindles are thalamocortical oscillations evolving during early brain maturation. In adults, they support memory consolidation and are organised into rhythmic "trains" thought to support memory reactivation. How this temporal organisation emerges in infancy, and whether prematurity or early sensorimotor experience shapes it, remains unclear. This study characterised infant spindles and investigated how prematurity and early locomotor training affect their temporal and spatial organisation, providing insight into early brain maturation. Methods: Daytime high-density EEG sleep recordings were analysed in 50 infants born full-term (n=12) or very preterm (n=38, including 12 who received locomotor training) at 2 months corrected age. Spindle temporal organisation was analysed using a two-step Morlet wavelet transform to quantify slow modulations of spindle-band power (11-16Hz). Time-frequency decomposition around spindle onset was used to identify significant spindle-band scalp-wide activity, and topographical maps were statistically compared between groups. Results: All groups showed rhythmic spindle organisation, three times slower than in adults, with no group differences. Untrained preterm infants showed a more diffuse spindle-band activity than the distinct frontal and central clusters observed in full-term infants. Trained preterm infants exhibited a spatial distribution closely resembling that of full-term infants, although their frontal spindle density was lower than in both other groups. Conclusions: Spindle rhythmic organisation emerged early in infancy and remained unaffected by prematurity or locomotor training. Prematurity was associated with more diffuse spindle-band activity, suggesting reduced cortical specialisation, whereas trained preterm infants showed a spatial distribution resembling that of full-term infants, suggesting that early locomotor experience may influence thalamocortical organisation.

bioRxiv (Cold Spring Harbor Laboratory)
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Inserm (FR), Délégation Paris 7 (FR), Université Paris Cité (FR), Université Paris-Saclay (FR), Sorbonne Paris Cité (FR), Complexité, Innovation et Activités Motrices et Sportives (FR), Assistance Publique – Hôpitaux de Paris (FR), Centre Inria de Saclay (FR), Hôpital Robert-Debré (FR), Centre Neurosciences intégratives et Cognition (FR), NeuroDiderot (FR)
Agence Nationale de la Recherche, Fondation de France, Université de Paris, CHIST-ERA
Sleep and Wakefulness Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon