Publications by authors named "Sanne Ten Oever"

Neural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable.

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Human language offers a variety of ways to create meaning, one of which is referring to entities, objects, or events in the world. One such meaning maker is understanding to whom or to what a pronoun in a discourse refers to. To understand a pronoun, the brain must access matching entities or concepts that have been encoded in memory from previous linguistic context.

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From a brain's-eye-view, when a stimulus occurs and what it is are interrelated aspects of interpreting the perceptual world. Yet in practice, the putative perceptual inferences about sensory content and timing are often dichotomized and not investigated as an integrated process. We here argue that neural temporal dynamics can influence what is perceived, and in turn, stimulus content can influence the time at which perception is achieved.

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Recently it has been discovered that visuospatial attention operates rhythmically, rather than being stably employed over time. A low-frequency 7-8 Hz rhythmic mechanism coordinates periodic windows to sample relevant locations and to shift towards other, less relevant locations in a visual scene. Rhythmic sampling theories would predict that when two locations are relevant 8 Hz sampling mechanisms split into two, effectively resulting in a 4 Hz sampling frequency at each location.

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Article Synopsis
  • Sentences have structures that influence their meaning, and a study by Ding et al. (2016) demonstrated that the brain reacts to these structures with peaks in neural activity.
  • The study sparked a debate over whether hierarchical structure building models or associative sequence processing models better explain the neural responses observed.
  • The authors argue that simply inferring neural operations from these data is not enough and suggest a careful evaluation of models to align with cognitive and linguistic principles.
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  • Linguistic phrases in sentences are automatically tracked by the brain, even though there is no direct acoustic marker in the speech signal.
  • Previous studies have only compared situations with linguistic information versus those without, leaving it unclear whether phrase tracking is driven by language content or simply by attention to matching timescales.
  • Using magnetoencephalography (MEG), this study found stronger tracking of phrasal rates in the brain during sentence processing, and that the inferior frontal gyrus (IFG) plays a key role in integrating information across different perceptual tasks.
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Visuospatial attention can either be voluntarily directed (endogenous/top-down attention) or automatically triggered (exogenous/bottom-up attention). Recent research showed that dorsal parietal transcranial alternating current stimulation (tACS) at alpha frequency modulates the spatial attentional bias in an endogenous but not in an exogenous visuospatial attention task. Yet, the reason for this task-specificity remains unexplored.

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Article Synopsis
  • Transcranial alternating current stimulation (tACS) is a technique used to explore how brain oscillations relate to cognition and behavior, with past studies showing mixed results in enhancing attention through individual alpha frequency (IAF) stimulation.
  • A new approach called 'Broadband-alpha-tACS' uses a wider range of alpha frequencies based on individual brain activity to stimulate specific areas, potentially offering better results than traditional methods.
  • In a study with 24 participants, Broadband-alpha-tACS improved attention performance more effectively than IAF-tACS and sham stimulation, while also revealing that alpha frequency removal had some impact on attention bias.
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Successful forgetting of unwanted memories is crucial for goal-directed behavior and mental wellbeing. While memory retention strengthens memory traces, it is unclear what happens to memory traces of events that are actively forgotten. Using intracranial EEG recordings from lateral temporal cortex, we find that memory traces for actively forgotten information are partially preserved and exhibit unique neural signatures.

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Visual images contain redundant information across spatial scales where low spatial frequency contrast is informative towards the location and likely content of high spatial frequency detail. Previous research suggests that the visual system makes use of those redundancies to facilitate efficient processing. In this framework, a fast, initial analysis of low-spatial frequency (LSF) information guides the slower and later processing of high spatial frequency (HSF) detail.

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The evaluation of transcranial magnetic stimulation (TMS)-induced motor evoked potentials (MEPs) promises valuable information about fundamental brain related mechanisms and may serve as a diagnostic tool for clinical monitoring of therapeutic progress or surgery procedures. However, reports about spontaneous fluctuations of MEP amplitudes causing high intra-individual variability have led to increased concerns about the reliability of this measure. One possible cause for high variability of MEPs could be neuronal oscillatory activity, which reflects fluctuations of membrane potentials that systematically increase and decrease the excitability of neuronal networks.

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Rhythmic stimulation can be applied to modulate neuronal oscillations. Such 'entrainment' is optimized when stimulation frequency is individually calibrated based on magneto/encephalography markers. It remains unknown how consistent such individual markers are across days/sessions, within a session, or across cognitive states, hemispheres and estimation methods, especially in a realistic, practical, lab setting.

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Article Synopsis
  • Neuronal oscillations help to optimize how we process speech, but it's unclear how they track speech that doesn't have a strict rhythm, called pseudo-rhythmic speech.
  • The authors propose that these brain oscillations can track speech effectively by relying on predictions based on the meaning of the words being spoken rather than just their sound.
  • They present a computational model that combines oscillations and feedback, which can predict and track the timing of speech based on word predictability, providing a new understanding of how the brain processes temporal aspects of language.
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Recent evidence suggests that visuospatial attentional performance is not stable over time but fluctuates in a rhythmic fashion. These attentional rhythms allow for sampling of different visuospatial locations in each cycle of this rhythm. However, it is still unclear in which paradigmatic circumstances rhythmic attention becomes evident.

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About one third of patients with epilepsy have seizures refractory to the medical treatment. Electrical stimulation mapping (ESM) is the gold standard for the identification of "eloquent" areas prior to resection of epileptogenic tissue. However, it is time-consuming and may cause undesired side effects.

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Neural oscillations track linguistic information during speech comprehension (Ding et al., 2016; Keitel et al., 2018), and are known to be modulated by acoustic landmarks and speech intelligibility (Doelling et al.

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Low-frequency oscillations are proposed to be involved in separating neuronal representations belonging to different items. Although item-specific neuronal activity was found to cluster on different oscillatory phases, the influence of this mechanism on perception is unknown. Here, we investigated the perceptual consequences of neuronal item separation through oscillatory clustering.

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Successful working memory performance has been related to oscillatory mechanisms operating in low-frequency ranges. Yet, their mechanistic interaction with the distributed neural activity patterns representing the content of the memorized information remains unclear. Here, we record EEG during a working memory retention interval, while a task-irrelevant, high-intensity visual impulse stimulus is presented to boost the read-out of distributed neural activity related to the content held in working memory.

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In recent years, the influence of alpha (7-13 Hz) phase on visual processing has received a lot of attention. Magneto-/encephalography (M/EEG) studies showed that alpha phase indexes visual excitability and task performance. Studies with transcranial alternating current stimulation (tACS) aim to modulate oscillations and causally impact task performance.

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Visuospatial attention theories often propose hemispheric asymmetries underlying the control of attention. In general support of these theories, previous EEG/MEG studies have shown that spatial attention is associated with hemispheric modulation of posterior alpha power (gating by inhibition). However, since measures of alpha power are typically expressed as lateralization scores, or collapsed across left and right attention shifts, the individual hemispheric contribution to the attentional control mechanism remains unclear.

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Article Synopsis
  • The study investigates how transcranial alternating current stimulation (tACS) at alpha frequency affects shifts in visuospatial attention, especially focusing on the left parietal cortex.
  • Researchers aimed to see if tACS could enhance attention towards the left side in different attention tasks, specifically distinguishing between voluntary (endogenous) and stimulus-driven (exogenous) attention.
  • Results showed that tACS at 10Hz increased leftward reaction times in voluntary attention tasks but had no effect on exogenous attention or stimulus detection, indicating that the effectiveness of tACS varies by task type.
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The brain is inherently proactive, constantly predicting the when (moment) and what (content) of future input in order to optimize information processing. Previous research on such predictions has mainly studied the "when" or "what" domain separately, missing to investigate the potential integration of both types of predictive information. In the absence of such integration, temporal cues are assumed to enhance any upcoming content at the predicted moment in time (general temporal predictor).

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Article Synopsis
  • * Researchers used EEG data to analyze how LSF and HSF contribute to neural responses when participants viewed various filtered and intact images.
  • * Findings suggest that when LSF information is informative, the contribution of HSF processing is reduced, supporting the idea that coarse information aids in understanding fine details, and the study explores possible brain mechanisms for this interaction.
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  • The study evaluates the reliability of measuring corticospinal excitability through transcranial magnetic stimulation (TMS) and its potential variability due to neuronal oscillations.
  • Researchers tested whether alternating current stimulation (tACS) at specific alpha and beta frequencies could influence the excitability measured by motor evoked potentials (MEPs).
  • Results showed that while there were no overall effects of tACS frequency on MEP amplitudes, beta-frequency tACS did have a phase-dependent influence on MEPs, particularly in participants with a lower intrinsic beta frequency, suggesting new ways to enhance TMS reliability.
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