Cited by 31Sleep and Wakefulness ResearchCreativity in Education and NeuroscienceNeural dynamics and brain function

Differential Associations of Early- and Late-Night Sleep with Functional Brain States Promoting Insight to Abstract Task Regularity

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Yordanova, Juliana, Kolev, Vasil, Wagner, Ullrich, Verleger, Rolf·2010·PLoS ONE

Abstract

BACKGROUND: Solving a task with insight has been associated with occipital and right-hemisphere activations. The present study tested the hypothesis if sleep-related alterations in functional activation states modulate the probability of insight into a hidden abstract regularity of a task. METHODOLOGY: State-dependent functional activation was measured by beta and alpha electroencephalographic (EEG) activity and spatial synchronization. Task-dependent functional activation was assessed by slow cortical potentials (SPs). EEG parameters during the performance of the Number Reduction Task (NRT) were compared between before sleep and after sleep sessions. In two different groups, the relevant sleep occurred either in the first or in the second half of the night, dominated by slow wave sleep (SWS) or by rapid eye movement (REM) sleep. PRINCIPAL FINDINGS: Changes in EEG parameters only occurred in the early-night group, not in the late-night group and indicated occipital and right-hemisphere functional alterations. These changes were associated with off-line consolidation of implicit task representations and with the amount of SWS but they did not predict subsequent insight. The gain of insight was, however, independently associated with changes of spectral beta and alpha measures only in those subjects from the two sleep groups who would subsequently comprehend the hidden regularity of the task. Insight-related enhancement of right frontal asymmetry after sleep did not depend on sleep stages. SIGNIFICANCE: It is concluded that off-line restructuring of implicit information during sleep is accompanied by alterations of functional activation states after sleep. This mechanism is promoted by SWS but not by REM sleep and may contribute to attaining insight after sleep. Original neurophysiologic evidence is provided for alterations of the functional activation brain states after sleep. These alterations are associated with a decrease in controlled processing within the visual system and with an increase in the functional connectivity of the right hemisphere, and are supported by SWS in the first half of the night.

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  • Gain of insight depends on occurrence of spindle activity during early SWS-rich nocturnal sleep.

    “Subsequent studies of the same group specified that the gain of insight depended on the occurrence of spindle activity during early SWS-rich nocturnal sleep (1346 -1350).”

    From About Sleep's Role in Memory (2013) · cites this paper as [1350]

    The Principal Findings state that early-night EEG changes associated with SWS did not predict subsequent insight, and that insight-related right frontal changes did not depend on sleep stage. The Discussion likewise says the critical marker of insight appeared in subsequent solvers after either SWS- or REM-rich sleep. The cited paper does not identify spindle activity as a requirement for gaining insight. (LLM, conf=0.90)

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  1. [1]Ericsson KA Simon HA 1993 Protocol Analysis: Verbal Reports as Data. Cambridge MIT Press
  2. [2]Bowden EM Jung-Beeman M Fleck J Kounios J 2005 New approaches to demystifying insight. Trends Cogn Sci 9 322 328 15953756
  3. [3]Sternberg RJ Davidson JE editors 1995 The Nature of Insight. Cambridge MIT Press
  4. [4]Metcalfe J Wiebe D 1987 Intuition in insight and noninsight problem solving. Mem Cognit 15 238 246 3600264
  5. [5]Smith RW Kounios J 1996 Sudden insight: all-or-none processing revealed by speed-accuracy decomposition. J Exp Psychol Learn Mem Cogn 22 1443 1462 8921602
  6. [6]Friedman RS Förster J 2005 Effects of motivational cues on perceptual asymmetry: implications for creativity and analytical problem solving. J Pers Soc Psychol 88 263 275 15841858
  7. [7]Rowe G Hirsh JB Anderson AK 2007 Positive affect increases the breadth of attentional selection. Proc Natl Acad Sci USA 104 383 388 17182749 PMC1765470
  8. [8]Bowden EM Jung-Beeman M 2006 Aha! Insight experience correlates with solution activation in the right hemisphere. Psychon Bull Rev 10 730 737 14620371
  9. [9]Jung-Beeman M Bowden EM Haberman J Frymiare JL Arambel-Liu S 2004 Neural activity when people solve verbal problems with insight. PLoS Biol 2 E97 15094802 PMC387268
  10. [10]Howard-Jones PA Blakemore SJ Samuel EA Summers IR Claxton G 2005 Semantic divergence and creative story generation: an fMRI investigation. Cogn Brain Res 25 240 250 15993573
  11. [11]Stringaris AK Medford N Giora R Giampietro VC Brammer MJ 2006 How metaphors influence semantic relatedness judgments: the role of the right frontal cortex. NeuroImage 33 784 793 16963282
  12. [15]Haider H Rose M 2007 How to investigate insight: A proposal. Methods 42 49 57 17434415
  13. [16]Yordanova J Kolev V Verleger R Bataghva Z Born J 2008 Different roles of early and late night sleep in making implicit knowledge explicit. Learn Mem 15 508 515 18626095 PMC2505318
  14. [17]Lang S Kanngieser N Jaskowski P Haider H Rose M 2006 Precursors of insight in event-related brain potentials. J Cog Neurosci 18 1 15 17129197
  15. [18]Yordanova J Kolev V Wagner U Verleger R 2009 Covert reorganization of implicit task representations by slow wave sleep. PLoS ONE 4(5) E5675 19479080 PMC2682605
  16. [19]Maquet P 2001 The role of sleep in learning and memory. Science 294 1048 1052 11691982
  17. [21]Born J Rasch B Gais S 2006 Sleep to remember. Neuroscientist 12 410 424 16957003
  18. [22]Walker MP Brakefield T Morgan A Hobson JA Stickgold R 2002 Practice with sleep makes perfect: Sleep-dependent motor skill learning. Neuron 35 205 211 12123620
  19. [26]Rose M Haider H Büchel C 2005 Unconscious detection of implicit expectancies. J Cog Neurosci 17 918 927 15969909
  20. [27]Kounios J Frymiare JL Bowden EM Fleck JI Subramaniam K 2006 The prepared mind: neural activity prior to problem presentation predicts subsequent solution by sudden insight. Psychol Sci 17 882 890 17100789
  21. [28]Kounios J Fleck JI Green DL Payne L Stevenson JL 2008 The origins of insight in resting-state brain activity. Neuropsychologia 46 281 291 17765273 PMC2293274
  22. [29]Mednick SA 1962 The associative basis of the creative process. Psychol Rev 69 220 232 14472013
  23. [30]Fowler MJ Sullivan MJ Ekstrand BR 1973 Sleep and memory. Science 179 302 304 4345657
  24. [31]Plihal W Born J 1999 Effects of early and late nocturnal sleep on priming and spatial memory. Psychophysiology 36 571 582 10442025
  25. [34]Drosopoulos S Wagner U Born J 2005 Sleep enhances explicit recollection in recognition memory. Learn Mem 12 44 51 15687230 PMC548495
  26. [35]Bekisz M Wróbel A 2003 Attention-dependent coupling between beta activities recorded in the cat's thalamic and cortical representations of the central visual field. Eur J Neurosci 17 421 426 12542680
  27. [36]Wróbel A 2000 Beta activity: a carrier for visual attention. Acta Neurobiol Exp (Wars) 60 247 260 10909182
  28. [37]Ray WJ Cole HW 1985 EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes. Science 228 750 752 3992243
  29. [38]Worden MS Foxe JJ Wang N Simpson GV 2000 Anticipatory biasing of visuospatial attention indexed by retinotopically specific alpha-band electroencephalography increases over occipital cortex. J Neurosci 20 RC63 10704517 PMC6772495
  30. [40]Rihs TA Michel CM Thut G 2007 Mechanisms of selective inhibition in visual spatial attention are indexed by alpha-band EEG synchronization. Eur J Neurosci 25 603 610 17284203
  31. [41]Rihs TA Michel CM Thut G 2009 A bias for posterior alpha-band power suppression versus enhancement during shifting versus maintenance of spatial attention. NeuroImage 44 190 199 18793732
  32. [42]Doesburg SM Roggeveen AB Kitajo K Ward LM 2008 Large-scale gamma-band phase synchronization and selective attention. Cereb Cortex 18 386 396 17556771
  33. [43]Ergenoglu T Demiralp T Bayraktaroglu Z Ergen M Beydagi H 2004 Alpha rhythm of the EEG modulates visual detection performance in humans. Cogn Brain Res 20 376 383 15268915
  34. [44]Hanslmayr S Aslan A Staudigl T Klimesch W Herrmann CS 2007 Prestimulus oscillations predict visual perception performance between and within subjects. Neuroimage 37 1465 1473 17706433
  35. [45]Thut G Nietzel A Brandt SA Pascual-Leone A 2006 Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. Neurosci 26 9494 9502 PMC6674607 16971533
  36. [46]van Dijk H Schoffelen JM Oostenveld R Jensen O 2008 Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability. J Neurosci 28 1816 1823 18287498 PMC6671447
  37. [47]Romei V Brodbeck V Michel C Amedi A Pascual-Leone A 2008 Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. Cereb Cortex 18 2010 2018 18093905 PMC2517102
  38. [48]Palva S Palva JM 2007 New vistas for alpha-frequency band oscillations. Trends Neurosci 30 150 158 17307258
  39. [50]Urbano A Babiloni C Onorati P Babiloni F 1998 Dynamic functional coupling of high resolution EEG potentials related to unilateral internally triggered one digit movements. Electroencephalogr Clin Neurophysiol 106 477 487 9741747
  40. [52]von Stein A Chiang C König P 2000 Top-down processing mediated by interareal synchronization. Proc Natl Acad Sci USA 97 14748 14753 11121074 PMC18990
  41. [53]Sarnthein J Petsche H Rappelsberger P Shaw GL von Stein A 1998 Synchronization between prefrontal and posterior association cortex during human working memory. Proc Natl Acad Sci USA 95 7092 7096 9618544 PMC22750
  42. [54]Varela F Lachaux JP Rodriguez E Martinerie J 2001 The brainweb: phase synchronization and large-scale integration. Nat Rev Neurosci 2 229 239 11283746
  43. [55]Yordanova J Falkenstein M Hohnsbein J Kolev V 2004 Parallel systems of error processing in the brain. NeuroImage 22 590 602 15193587
  44. [56]Ruchkin DS 1988 Measurement of event-related potentials: signal extraction. Picton TW Event-Related Potentials. EEG Handbook, rev. series, vol. 3 Amsterdam Elsevier 7 43
  45. [57]Rösler F Heil M Henninghausen E 1995 Distinct cortical activation patterns during long-term memory retrieval of verbal, spatial and color information. J Cog Neurosci 7 51 65 23961753
  46. [58]Rösler F Heil M Röder B 1997 Slow negative brain potentials as reflections of specific modular resources of cognition. Biol Psychol 45 109 141 9083647
  47. [59]Khader P Burke M Bien S Ranganath C Rösler F 2005 Content-specific activation during associative long-term memory retrieval. NeuroImage 27 805 816 15964209
  48. [61]Rechtschaffen A Kales AA 1968 Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. 204 Maryland NIH Publ. No 11422885
  49. [62]Gratton G Coles MGH Donchin E 1983 A new method for off-line removal of ocular artifact. Electroencephalogr Clin Neurophysiol 55 468 484 6187540
  50. [63]Gasser T Verleger R Bächer P Sroka L 1988 Development of EEG of school-age children and adolescents. I. Analysis of band power. Electroencephalogr Clin Neurophysiol 69 91 99 2446839
  51. [64]Babiloni F Babiloni C Carducci F Fattorini L Onorati P 1996 Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model. Electroencephalogr Clin Neurophysiol 98 363 373 8641156
  52. [65]Perrin F Pernier J Bertrand O Echallier JF 1989 Spherical splines for scalp potential and current density mapping. Electroencephalogr Clin Neurophysiol 72 184 187 2464490
  53. [66]Mallat S 1999 A Wavelet Tour of Signal Processing, 2nd ed. San Diego Academic Press
  54. [67]Tallon-Baudry C Bertrand O Delpuech C Permier J 1997 Oscillatory gamma-band (30– 70 Hz) activity induced by a visual search task in humans. J Neurosci 17 722 734 8987794 PMC6573221
  55. [68]Gruber T Malinowski P Müller MM 2004 Modulation of oscillatory brain activity and evoked potentials in a repetition priming task in the human EEG. Eur J Neurosci 19 1073 1082 15009155
  56. [69]Lachaux JP Rodriguez E Martinerie J Varela FJ 1999 Measuring phase synchrony in brain signals. Hum Brain Mapp 8 194 208 10619414 PMC6873296
  57. [70]Doesburg SM Emberson LL Rahi A Cameron D Ward LM 2008 Asynchrony from synchrony: long-range gamma-band neural synchrony accompanies perception of audiovisual speech asynchrony. Exp Brain Res 185 11 20 17922119
  58. [71]Yordanova J Kolev V Hohnsbein J Falkenstein M 2004 Sensorimotor slowing with aging is mediated by a functional dysregulation of motor-generation processes: Evidence from high-resolution ERPs. Brain 127 351 362 14607784
  59. [72]Pfurtscheller G Lopes da Silva FH 1999 Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol 110 1842 1857 10576479
  60. [74]Rose M Haider H Weiller C Büchel C 2002 The role of medial temporal lobe structures in implicit learning: an event-related fMRI study. Neuron 36 1221 1231 12495634
  61. [75]Rose M Haider H Weiller C Büchel C 2004 The relevance of the nature of learned associations for the differentiation of human memory systems. Learn Mem 11 145 152 15054129
  62. [76]Zhuang P Toro C Grafman J Manganotti P Leocani L 1997 Event-related desynchronization (ERD) in the alpha frequency during development of implicit and explicit learning. Electroencephalogr Clin Neurophysiol 102 374 381 9146500
  63. [77]Suffczynski P Kalitzin S Pfurtscheller G Lopes da Silva FH 2001 Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention. Int J Psychophysiol 43 25 40 11742683
  64. [78]Pfurtscheller G 2006 The cortical activation model (CAM). Prog Brain Res 159 19 27 17071221
  65. [79]Gais S Plihal W Wagner U Born J 2000 Early sleep triggers memory for early visual discrimination skills. Nat Neurosci 3 1335 1339 11100156
  66. [80]Rektor I Sochůrková D Bocková M 2006 Intracerebral ERD/ERS in voluntary movement and in cognitive visuomotor task. Prog Brain Res 159 311 330 17071240
  67. [81]Verleger R Heide W Butt C Wascher E Kömpf D 1996 On-line brain potential correlates of right parietal patients' attentional deficit. Electroencephalogr Clin Neurophysiol 99 444 457 9020804
  68. [82]Vuilleumier PO Rafal RD 2000 A systematic study of visual extinction. Between- and within-field deficits of attention in hemispatial neglect. Brain 123 1263 1279 10825363
  69. [83]Driver J Vuilleumier P 2001 Perceptual awareness and its loss in unilateral neglect and extinction. Cognition 79 39 88 11164023
  70. [84]Schürmann M Grumbt M Heide W Verleger R 2003 Effects of same- and different-modality cues in a Posner task: extinction-type, spatial, and non-spatial deficits after right-hemispheric stroke. Cogn Brain Res 16 348 358 12706215

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Authors
Yordanova, J., Kolev, V., Wagner, U., & Verleger, R.
Affiliations
  • Bulgarian Academy of Sciences (BG)
  • Bangor University (GB)
  • University of Lübeck (DE)
Corresponding author
  • Yordanova, Juliana
  • Kolev, Vasil
  • Wagner, Ullrich
  • Verleger, Rolf
Venue
PLoS ONE
Published
2010-02-26
Volume
5
Issue
2
Pages
e9442
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2066589531
Cited by
31
References
12
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 3 · 2012: 1
FWCI
1.55
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Deutsche Forschungsgemeinschaft (SFB654)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
insight, sleep timing, slow-wave sleep, REM sleep, right hemisphere, spatial synchrony, slow cortical potentials
MeSH terms
Adolescent, Adult, Attention, Brain, Cognition, Electroencephalography, Humans, Memory, Psychomotor Performance, Reaction Time, Sleep, REM, Task Performance and Analysis, Time Factors, Young Adult

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