Aimée Goldstone1, Adrian R Willoughby2, Massimiliano de Zambotti2, Duncan B Clark3, Edith V Sullivan4, Brant P Hasler3, Peter L Franzen3, Devin E Prouty2, Ian M Colrain5, Fiona C Baker6. 1. Center for Health Sciences, SRI International, Menlo Park, CA, USA. Electronic address: aimee.goldstone@sri.com. 2. Center for Health Sciences, SRI International, Menlo Park, CA, USA. 3. University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. 4. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. 5. Center for Health Sciences, SRI International, Menlo Park, CA, USA; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia. 6. Center for Health Sciences, SRI International, Menlo Park, CA, USA; Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa.
Abstract
OBJECTIVE: Sleep changes substantially during adolescence; however, our understanding of age-related differences in specific electroencephalographic waveforms during this developmental period is limited. METHOD: Sigma power, spindle characteristics and cognitive data were calculated for fast (∼13 Hz) central and slow (∼11 Hz) frontal sleep spindles for a large cross-sectional sample of adolescents (N = 134, aged 12-21 years, from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study). RESULTS: Older age (and advanced pubertal development) was associated with lower absolute sigma power and greater fast spindle density, with spindles having a shorter duration and smaller amplitude and occurring at a faster average frequency than at a younger age. Spindle characteristics were not directly associated with cognition. An indirect relationship (age * density) provided some evidence for an association between better episodic memory performance and greater spindle density only for younger adolescents. CONCLUSION: Spindle characteristics in adolescents differed according to age, possibly reflecting underlying differences in thalamo-cortical connectivity, and may play a role in episodic memory early in adolescence. SIGNIFICANCE: Sleep spindles may serve as a marker of adolescent development, likely reflecting brain maturational status. Investigating specific spindle characteristics, in addition to sigma power, is necessary to fully characterize spindles during adolescence.
OBJECTIVE: Sleep changes substantially during adolescence; however, our understanding of age-related differences in specific electroencephalographic waveforms during this developmental period is limited. METHOD: Sigma power, spindle characteristics and cognitive data were calculated for fast (∼13 Hz) central and slow (∼11 Hz) frontal sleep spindles for a large cross-sectional sample of adolescents (N = 134, aged 12-21 years, from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study). RESULTS: Older age (and advanced pubertal development) was associated with lower absolute sigma power and greater fast spindle density, with spindles having a shorter duration and smaller amplitude and occurring at a faster average frequency than at a younger age. Spindle characteristics were not directly associated with cognition. An indirect relationship (age * density) provided some evidence for an association between better episodic memory performance and greater spindle density only for younger adolescents. CONCLUSION: Spindle characteristics in adolescents differed according to age, possibly reflecting underlying differences in thalamo-cortical connectivity, and may play a role in episodic memory early in adolescence. SIGNIFICANCE: Sleep spindles may serve as a marker of adolescent development, likely reflecting brain maturational status. Investigating specific spindle characteristics, in addition to sigma power, is necessary to fully characterize spindles during adolescence.
Authors: Róbert Bódizs; Tamás Kis; Alpár Sándor Lázár; Linda Havrán; Péter Rigó; Zsófia Clemens; Péter Halász Journal: J Sleep Res Date: 2005-09 Impact factor: 3.981
Authors: M Schabus; K Hödlmoser; G Gruber; C Sauter; P Anderer; G Klösch; S Parapatics; B Saletu; W Klimesch; J Zeitlhofer Journal: Eur J Neurosci Date: 2006-04 Impact factor: 3.386
Authors: Irwin Feinberg; Lisa M Higgins; Wong Yu Khaw; Ian G Campbell Journal: Am J Physiol Regul Integr Comp Physiol Date: 2006-07-20 Impact factor: 3.619
Authors: E B Ukhinov; I M Madaeva; O N Berdina; L V Rychkova; L I Kolesnikova; S I Kolesnikov Journal: Bull Exp Biol Med Date: 2022-09-05 Impact factor: 0.737
Authors: Ferenc Gombos; Róbert Bódizs; Adrián Pótári; Gábor Bocskai; Andrea Berencsi; Hanna Szakács; Ilona Kovács Journal: Sci Rep Date: 2022-04-29 Impact factor: 4.996
Authors: Ariel B Neikrug; Bryce A Mander; Shlomit Radom-Aizik; Ivy Y Chen; Annamarie Stehli; Kitty K Lui; Miranda G Chappel-Farley; Abhishek Dave; Ruth M Benca Journal: Sleep Adv Date: 2021-04-09
Authors: Elizabeth R Spencer; Dhinakaran Chinappen; Britt C Emerton; Amy K Morgan; Matti S Hämäläinen; Dara S Manoach; Uri T Eden; Mark A Kramer; Catherine J Chu Journal: Neuroimage Clin Date: 2022-02-07 Impact factor: 4.881
Authors: Hosein Aghayan Golkashani; Ruth L F Leong; Shohreh Ghorbani; Ju Lynn Ong; Guillén Fernández; Michael W L Chee Journal: Sleep Date: 2022-04-11 Impact factor: 5.849