Jennifer R Ramautar

Publications (6)22.51 Total impact

• Article: Coupling of infraslow fluctuations in autonomic and central vigilance markers: skin temperature, EEG beta power and ERP P300 latency.

  Jennifer R Ramautar, Nico Romeijn, Germán Gómez-Herrero, Giovanni Piantoni, Eus J W Van Someren
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  ABSTRACT: Even under thermoneutral conditions, skin temperature fluctuates spontaneously, most prominently at distal parts of the body. These fluctuations were shown to be associated with fluctuations in vigilance: mild manipulation of skin temperature during nocturnal sleep affects sleep depth and the power spectral density of the electroencephalogram (EEG), and fluctuations in skin temperature during daytime wakefulness are related to sleep propensity and task performance. The association of daytime skin temperature fluctuations with EEG markers of vigilance has not previously been investigated. Therefore, the present study aimed to evaluate the association between daytime fluctuations in skin temperature with those in two quantitative EEG measures: the power spectral density of background EEG, and the ERP elicited by visual stimuli.High-density EEG and skin temperature were obtained in eight healthy adults five times a day while they performed a visual sustained-attention task. Assessments were made after a night of normal sleep and after the challenge of a night of total sleep deprivation. Fluctuations in the distal-to-proximal skin temperature gradient measured from the earlobe and mastoid were associated with fluctuations in parieto-occipital high beta band (20-40Hz) power of the pre-stimulus background EEG, but only after sleep deprivation. The temperature fluctuations were moreover associated with fluctuations in the latency of the P300 elicited by the stimulus. The findings demonstrate close association between fluctuations in an autonomic correlate of the vigilance state (i.e. the distal to proximal skin temperature gradient), and fluctuations in central nervous system correlates of the vigilance state (i.e. background EEG and ERP). The findings are of theoretical and practical relevance for the assessment and manipulation of vigilance. Abstract keywords (max 8 entries the author(s) would like to see in an index: Skin temperature, Vigilance, Sustained attention, Event related potential, Electroencephalography, P300, Distal to proximal skin temperature gradient.
  International journal of psychophysiology: official journal of the International Organization of Psychophysiology 01/2013; · 3.05 Impact Factor
• Source

  Available from: Klaus Linkenkaer-Hansen

  Article: Individual differences in white matter diffusion affect sleep oscillations.

  Giovanni Piantoni, Simon-Shlomo Poil, Klaus Linkenkaer-Hansen, Ilse M Verweij, Jennifer R Ramautar, Eus J W Van Someren, Ysbrand D Van Der Werf
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  ABSTRACT: The characteristic oscillations of the sleeping brain, spindles and slow waves, show trait-like, within-subject stability and a remarkable interindividual variability that correlates with functionally relevant measures such as memory performance and intelligence. Yet, the mechanisms underlying these interindividual differences are largely unknown. Spindles and slow waves are affected by the recent history of learning and neuronal activation, indicating sensitivity to changes in synaptic strength and thus to the connectivity of the neuronal network. Because the structural backbone of this network is formed by white matter tracts, we hypothesized that individual differences in spindles and slow waves depend on the white matter microstructure across a distributed network. We recorded both diffusion-weighted magnetic resonance images and whole-night, high-density electroencephalography and investigated whether individual differences in sleep spindle and slow wave parameters were associated with diffusion tensor imaging metrics; white matter fractional anisotropy and axial diffusivity were quantified using tract-based spatial statistics. Individuals with higher spindle power had higher axial diffusivity in the forceps minor, the anterior corpus callosum, fascicles in the temporal lobe, and the tracts within and surrounding the thalamus. Individuals with a steeper rising slope of the slow wave had higher axial diffusivity in the temporal fascicle and frontally located white matter tracts (forceps minor, anterior corpus callosum). These results indicate that the profiles of sleep oscillations reflect not only the dynamics of the neuronal network at the synaptic level, but also the localized microstructural properties of its structural backbone, the white matter tracts.
  Journal of Neuroscience 01/2013; 33(1):227-33. · 7.11 Impact Factor
• Article: Do sleep complaints contribute to age-related cognitive decline?

  Ellemarije Altena, Jennifer R Ramautar, Ysbrand D Van Der Werf, Eus J W Van Someren
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  ABSTRACT: The cognitive changes that occur with ageing are usually referred to as 'age-related cognitive decline'. The most pronounced changes may be found in the executive functions that require integrity of the prefrontal cortical circuitry. With age, sleep also changes profoundly, with more sleep fragmentation, earlier awakenings and less slow wave sleep as its main features. Interestingly, experimental sleep deprivation studies in healthy young adults showed a particularly consistent effect on executive functions, suggesting that sleep problems might contribute to the cognitive changes accompanying older age. We here investigate this possibility by reviewing reports on age-related and insomnia-related changes in cognition and brain function and structure, as found in studies investigating subjective complaints, objective functioning in everyday life, neuropsychological assessment, psychometry, structural and functional magnetic resonance imaging, electroencephalography, positron emission tomography and transcranial magnetic stimulation. The chapter focuses on the 'normal' age-related sleep changes that are experienced as insomnia - that is, fragmentation of sleep, more superficial sleep, more wake after sleep onset and earlier awakenings - rather than on specific sleep disturbances as sleep-disordered breathing, restless legs or periodic limb movements during sleep, for all of which the risk increases with age. It turned out that relatively few studies directly addressed the question whether elderly with different degrees of sleep complaints are differentially affected by 'age-related cognitive decline'. Still, several similarities between age-related and insomnia-related cognitive and brain changes are apparent, notably with respect to performance requiring integrity of the prefrontal cortical system. We suggest that at least part of what we regard as age-related changes may, in fact, be due to poor sleep, which is in some cases a treatable condition. Further research directly comparing aged good sleepers versus aged insomniacs will need to elucidate how sleep disturbances are involved in the cognitive, structural and functional changes observed with increasing age. The findings suggest that discrimination of subtypes of poor sleep at high age will aid in understanding the mechanisms by which it affects cognition and brain function.
  Progress in brain research 01/2010; 185:181-205. · 3.04 Impact Factor
• Article: To P(E) or not to P(E): a P3-like ERP component reflecting the processing of response errors.

  K Richard Ridderinkhof, Jennifer R Ramautar, Jasper G Wijnen
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  ABSTRACT: ERP studies have highlighted several electrocortical components that can be observed when people make errors. We propose that the P(E) reflects processes functionally similar to those reflected in the P3 and that the P(E) and P3 should covary. We speculate that these processes refer to the motivational significance of rare target stimuli in case of the P3 and of salient performance errors in case of the P(E). Here we investigated whether P(E) amplitude after errors in a Simon task is correlated specifically to varying target-target intervals in a visual oddball task, a factor known to parametrically affect P3 amplitude. The amplitude of the P(E), but not the N(E), was observed to covary with the effect of target-target interval on P3 amplitude. The specificity of this novel finding supports the notion that the P(E) and P3 reflect similar neurocognitive processes as possibly involved in the conscious processing of motivationally significant events.
  Psychophysiology 03/2009; 46(3):531-8. · 3.29 Impact Factor
• Source

  Available from: Heleen Slagter

  Article: Probability effects in the stop-signal paradigm: the insula and the significance of failed inhibition.

  Jennifer R Ramautar, Heleen A Slagter, Albert Kok, K Richard Ridderinkhof
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  ABSTRACT: In the present randomized, mixed-trial event-related fMRI study, we examined the neural mechanisms underlying inhibitory control using a stop-signal paradigm in which stop-signal frequency was manipulated parametrically across blocks. As hypothesized, presenting stop signals less frequently was accompanied by a stronger set to respond to the go stimuli as subjects were faster in responding to go stimuli on no stop-signal trials and made more commission errors (i.e., were less successful in inhibiting the go response) on stop-signal trials. When response inhibition was successful, having to inhibit responses more frequently compared to less frequently was associated with greater activation in occipital areas. This presumably reflects enhanced visual attention to the stop signal. When response inhibition failed, greater activity was observed in bilateral insula when stop signals were presented less compared to more frequently. The insula may thus play a role in processing the significance of inhibitory failure.
  Brain Research 09/2006; 1105(1):143-54. · 2.73 Impact Factor
• Source

  Available from: Guido Band

  Article: ERP components associated with successful and unsuccessful stopping in a stop-signal task.

  Albert Kok, Jennifer R Ramautar, Michiel B De Ruiter, Guido P H Band, K Richard Ridderinkhof
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  ABSTRACT: The primary aim of this study was to examine how response inhibition is reflected in components of the event-related potential (ERP), using the stop-signal paradigm as a tool to manipulate response inhibition processes. Stop signals elicited a sequence of N2/P3 components that partly overlapped with ERP components elicited by the reaction stimulus. N2/P3 components were more pronounced on stop-signal trials than on no-stop-signal trials. At Cz, the stop-signal P3 peaked earlier on successful than on unsuccessful stop trials. This finding extends the horse race model by demonstrating that the internal response to the stop signal (as reflected in stop-signal P3) is not constant, but terminates at different moments in time on successful and unsuccessful stop trials. In addition, topographical distributions and dipole analysis of high density EEG recordings indicated that different cortical generators were involved in P3s elicited on successful and unsuccessful stop-signal trials. The latter results suggest that P3 on successful stop-signal trials not only reflects stop-signal processing per se, but also efficiency of inhibitory control.
  Psychophysiology 02/2004; 41(1):9-20. · 3.29 Impact Factor