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Blenkmann, Alejandro Omar; Asko, Olgerta; Volehaugen, Vegard; Foldal, Maja Dyhre; Solli, Sandra & Leske, Sabine Liliana
[Show all 9 contributors for this article]
(2023).
Auditory perception, memory, and predictions.
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Volehaugen, Vegard; Leske, Sabine Liliana; Funderud, Ingrid; Llorens, Anaïs; Carvalho, Vinicius Rezende & Endestad, Tor
[Show all 8 contributors for this article]
(2023).
Echoes of the unheard: An intracranial electrophysiology study of expectation and attention in auditory omission processing.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Llorens, Anaïs; Funderud, Ingrid & Larsson, Pål Gunnar
[Show all 10 contributors for this article]
(2023).
Temporal and precentral brain activity in automatic auditory deviance detection. Evidence from human intracranial EEG recordings.
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Asko, Olgerta; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Meling, Torstein Ragnar; Knight, Robert T. & Endestad, Tor
[Show all 7 contributors for this article]
(2023).
The orbitofrontal cortex (OFC) has a critical role in the generation of high-level expectations.
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Solli, Sandra; Doelling, Keith; Leske, Sabine Liliana; Danielsen, Anne & Endestad, Tor
(2023).
The role of the motor system in predicting accelerating
and decelerating auditory rhythms.
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Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Solbakk, Anne-Kristin & Endestad, Tor
(2023).
Periodic vs Aperiodic Temporal Predictions: Shared or Separate Mechanisms?
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Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin & Endestad, Tor
(2023).
Both periodic and aperiodic rhythms facilitate
perceptual processing.
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Solli, Sandra; Danielsen, Anne; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin & Endestad, Tor
(2023).
Periodic vs Aperiodic Temporal Predictions: Shared or Separate Mechanisms?
.
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Leske, Sabine Liliana; Endestad, Tor; Volehaugen, Vegard; Foldal, Maja Dyhre; Blenkmann, Alejandro Omar & Solbakk, Anne-Kristin
[Show all 7 contributors for this article]
(2023).
Predicting the Beat Bin – Beta Oscillations Support Top-Down Prediction of The Temporal Precision of a Beat .
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Asko, Olgerta; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Meling, Torstein Ragnar; Knight, Robert T. & Endestad, Tor
[Show all 7 contributors for this article]
(2023).
Orbitofrontal lesion impacts formation of auditory expectations.
Show summary
Current findings of orbitofrontal cortex (OFC) function suggest that this region might have a role in the generation of prediction error signals associated with top-down expectation of upcoming stimuli. We investigated the impact of lesions to the OFC on the Contingent Negative Variation (CNV), an electrophysiological marker of cognitive expectation and time perception. Twelve OFC patients and fifteen healthy controls performed an auditory local-global paradigm while brain electrical activity was recorded. The structural regularities of the tones were controlled at two hierarchical levels by rules defined at a local (i.e., between tones within sequences) level with a short timescale and at a global (i.e., between sequences) level with a longer timescale. At the global level, deviant tone sequences were interspersed among standard tone sequences in a pseudorandom order, rendering some deviant sequences more anticipated than others. We found that healthy controls exhibited CNV build-up before the occurrence of deviant sequences. The CNV drift rate was modulated by the expectancy of deviant sequences (i.e., the higher the expectancy, the higher the CNV drift rate), reflecting their ability to anticipate when a deviant tone sequence would occur. However, patients with OFC lesions did not show CNV drift modulations by the expectancy of the deviant tone sequences, indicating impaired anticipation of these upcoming events. These findings suggest involvement of the OFC in generating auditory expectations based on the contextual and temporal structure of the task.
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Solbakk, Anne-Kristin; Blenkmann, Alejandro Omar; Leske, Sabine Liliana & Endestad, Tor
(2023).
Orbitofrontal lesion impacts formation of auditory expectations.
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Solbakk, Anne-Kristin; Endestad, Tor & Knight, Robert Thomas
(2022).
Oslo - Berkeley collaboration in cognitive neuroscience and neuropsychology.
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Puszta, András; Solbakk, Anne-Kristin; Huster, Rene Jürgen; Endestad, Tor; Forsmo, Maria & Holmen, Ingrid
[Show all 11 contributors for this article]
(2022).
Interactions between external and internal attention processes during working memory.
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Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia
[Show all 11 contributors for this article]
(2022).
Direct brain recordings reveal continuous encoding of structure in random stimuli.
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Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre
(2022).
Complexity-Based Encoded Information Quantification in Neurophysiological Recordings.
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Spiech, Connor; Hope, Mikael; Câmara, Guilherme Schmidt; Sioros, Georgios; Endestad, Tor & Laeng, Bruno
[Show all 7 contributors for this article]
(2022).
PredicTAPbility: Sensorimotor Synchronization Increases Groove.
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Asko, Olgerta; Blenkmann, Alejandro Omar; Leske, Sabine Liliana; Foldal, Maja Dyhre; Llorens, Anaïs & Funderud, Ingrid
[Show all 10 contributors for this article]
(2022).
Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex.
Show summary
In this study, we tested the causal involvement of the OFC in noticing breaches of predictions (i.e., PEs) at different hierarchical levels of task structural complexity. With this aim, we examined the event-related potentials (ERPs) of patients with focal OFC lesions and healthy adults while performing an auditory local-global oddball paradigm. Altogether, we found that after OFC damage, low-level PEs (i.e., processing of stimuli that are unpredicted at the local level) and combined low- and high-level PEs (i.e., processing of stimuli that are unpredicted at both the local and global level) were impacted. However, the processing of standard tones was not affected. We conclude that the OFC may contribute to a top-down process that modulates the deviance detection system in the primary auditory cortices, and may be involved in connecting PEs at lower hierarchical areas with predictions at higher areas. The study sheds new light on the poorly explored deficits of hierarchical auditory prediction in patients with damaged OFC.
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Volehaugen, Vegard; Leske, Sabine Liliana; Endestad, Tor; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar
(2022).
Violation of rule-based auditory patterns is detected independently of attention.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Leske, Sabine Liliana; Llorens, Anaïs; Funderud, Ingrid & Collavini, Santiago
[Show all 13 contributors for this article]
(2022).
Human brain network involved in auditory deviance detection. An intracranial EEG study.
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Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia
[Show all 11 contributors for this article]
(2022).
Direct brain recordings reveal continuous encoding of structure in random stimuli.
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Funderud, Ingrid; Danielsen, Anne; Endestad, Tor; Jensenius, Alexander Refsum; Leske, Sabine Liliana & Solbakk, Anne-Kristin
(2021).
Improving working memory in patents with epilepsy by rhythmic sounds.
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Puszta, Andras; Huster, Rene Jürgen; Solbakk, Anne-Kristin; Funderud, Ingrid; Endestad, Tor & Grane, Venke Arntsberg
(2021).
Task-dependent EEG changes in adult ADHD.
Show summary
Objectives
Our aim for the current study was twofold: First, delineate how brain connectivity differs
between the on-task state during a Go-NoGo task and resting state, and whether these
differences are affected by ADHD. Second, we investigated how ADHD impacts event-related
potentials and brain oscillations during response inhibition. While the former aim was
investigated in an exploratory manner, for the second aim our hypothesis was that P300
amplitude and theta power are decreased in ADHD.
Methods
We analysed EEG-datasets of 35 adult ADHD patients and a matched healthy control group.
EEG was recorded while participants performed a Go-NoGo task and during resting-state. We
investigated gamma phase connectivity in the task- and resting state across groups. For the
Go-NoGo task, we analysed P300 peak amplitude and latency as well as theta power across
conditions and groups. Furthermore, we compared behavioral performance between groups,
and evaluated within-group correlations of behavior and EEG parameters.
Results
We observed a significant main effect of Group for gamma phase connectivity, reflecting
increased connectivity in the ADHD- compared to control-group during the task state . We
also observed more commission errors in the ADHD-group. NoGo-P300 amplitudes were
attenuated and peaked earlier (only over frontal leads) in ADHD patients. Moreover, there was
a significant negative correlation between reaction time and both frontal theta power and Go-
P300 amplitude in the healthy control but not the ADHD-group.
Conclusions
Overall, we replicated the ERP-changes reported in earlier studies and behavioral signs of
increased impulsivity. The results indicate that ADHD impacts neural indices of response
inhibition, but (at least in the ADHD cohort) the neural indices did not not correlate with
performance. Furthermore, our results suggest that frontal gamma-band phase connectivity
during task state could be a possible neural marker of ADHD.
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Foldal, Maja Dyhre; Leske, Sabine Liliana; Blenkmann, Alejandro Omar; Endestad, Tor & Solbakk, Anne-Kristin
(2021).
Attentional modulation of alpha- and beta oscillations during perception of auditory rhythms.
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Solbakk, Anne-Kristin; Leske, Sabine Liliana; Lubell, James Isaac; Blenkmann, Alejandro Omar; Llorens, Anais & Funderud, Ingrid
[Show all 13 contributors for this article]
(2021).
Auditory prediction and prediction error in self-generated tones.
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Spiech, Connor; Laeng, Bruno; Sioros, George; Danielsen, Anne & Endestad, Tor
(2021).
More Than Meter’s The Eye: Divergent Roles of Pickups and Syncopation in Groove.
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Puszta, Andras; Solbakk, Anne-Kristin; Endestad, Tor; Huster, Rene & Grane, Venke Arntsberg
(2020).
Reduced frontal theta during proactive control in adult ADHD.
Show summary
Previous studies report increased frontal theta activity at rest in individuals with attention deficit-hyperactivity disorder (ADHD). Only few studies investigated task-related frontal theta dynamics in the ADHD population during proactive control.
We analysed EEG-datasets recorded from 35 medication-naive adults with ADHD and 32 matched controls performing a cued Go-NoGo-task. The first stimulus(S1, cue) indicated whether the second stimulus would be a Go-stimulus(50% of S1, relevant cue); of these task-relevant trials, the second stimulus(S2) could be a Go or NoGo-signal(equal probability). Normalized theta-power of each trial between 200 and 500 ms after stimulus onset (relative to both S1 and S2) was used for further analysis. We also tested the correlation between frontal-theta-power and behavioural performance.
We found that frontal theta power after relevant cues (S1) was elevated in the control group, but not in the ADHD-group. Following the S2-stimuli, theta power was higher after NoGo than Go-stimuli, but there was no significant group-difference. Furthermore, we found significant group-differences regarding the correlation between frontal theta-power after the cue(S1) and the behavioural measures (accuracy, reaction time(RT)) across groups: Theta-power correlated negatively with RT and positively with accuracy in both groups, but these correlations were weaker for the ADHD-group. RT and accuracy were not different across the two groups.
Our results indicate a lack of increased frontal theta power to the relevant cues in the ADHD-group, which suggests reduced cognitive effort or a deficit in preparatory attention. Correlation analyses further support the behavioral relevance of these changes in frontal theta dynamics.
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Fuhrer, Julian; Blenkmann, Alejandro Omar; Tørresen, Jim; Endestad, Tor & Glette, Kyrre
(2019).
Making Sense of Randomness?
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Foldal, Maja Dyhre; Blenkmann, Alejandro Omar; Llorens, Anaïs; Knight, Robert Thomas; Solbakk, Anne-Kristin & Endestad, Tor
(2019).
The brain tracks global temporal regularity in auditory patterns.
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Endestad, Tor; Solbakk, Anne-Kristin; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Knight, Robert T. & Blenkmann, Alejandro Omar
(2019).
A robust intracranial electrode localization algorithm.
Show summary
The accurate localization of electrodes in relationship to the brain’s anatomy is the foundation of the spatial resolution of intracranial EEG recordings. However, in “difficult cases“ the localization needs to be done manually since automatic methods fails, e.g high density arrays up to 3 mm inter-electrode distance, overlapping electrodes, low resolution CT images, or connection cables ovelaying grids. Here, we present a new automatic method that models a flexible array of electrodes and fits it to the artifacts observed in post implantation CT images.
We evaluated data from 18 adult patients with drug resistant epilepsy implanted with depth electrodes and/or subdural grids (18 patients, 3261 electrodes). The automatic method was contrasted against manual localization.
The main processing steps (Fig. 1 A) were:
Thresholding and selection of a cloud of CT voxels containing the electrode artifacts
Assembling a model of the grid (depth) array of electrodes
Fitting the model to a smooth surface (line) approximation of CT artifacts
Fitting the model to the cloud of voxels by minimizing the energy function
E = -Ec + Et + Ed
Ec was the gaussian weighted spatial correlation between the electrodes and the cloud of voxels. Et penalized the translation of electrodes, and Ed the deformation of a spring grid connecting the electrodes.
Automatic localization resulted to be more precise than manual selection, observed as a significant reduction of the inter-electrode distance variance (Fig. 1 B).
We provide a robust method for intracranial electrode localization that is applicable to “difficult cases” were previous automatic methods fail (Fig. 1 C).
The method was implemented in the open-source iElectrodes toolbox and is available to the research community (Blenkmann et al., 2017).
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Lubell, James; Leske, Sabine Liliana; Llorens, Anaïs & Funderud, Ingrid
[Show all 14 contributors for this article]
(2019).
Human brain network involved in auditory deviance detection: Evidence from intracranial EEG recordings.
Show summary
The neural network underlying human auditory deviance detection is not fully understood. To address this, we recorded intracranial EEG from 22 adult patients with drug resistant epilepsy undergoing presurgical monitoring who had depth electrodes implanted in all brain lobes (1193 channels in total). Patients passively heard a stream of bilaterally presented tones while reading. We used the Optimum-1 paradigm, that consisted of 300 standard tones interleaved with 300 randomly presented deviant tones per block. Patients completed between 3 to 10 blocks. Deviant tones differed from standards in: 1) intensity (louder or softer), 2) frequency (higher or lower), 3) sound source location (right or left), 4) a shorter duration, or 5) a silent gap in the middle of the tone (Näätänen et al., 2004). Electrode coordinates were obtained from coregistered MRI and CT images using iElectrodes toolbox (Blenkmann et al., 2017). Channels were bipolar referenced and high frequency band activity (HFA) analytic amplitude signal was obtained using the Hilbert transform (75-145 Hz).
Compared to the baseline period, significant HFA responses to tones in general were observed in 31% of the channels.
We used an ANOVA to quantify the HFA response variance across trials that could be explained by the different factors of the stimuli: Intensity, Laterality, Frequency, Duration and Gap. We estimated the amount of explained variance by using ?2 (Siegel et al., 2015). Eighteen % of the channels showed a significant increase of the condition-specific explained variance. Some channels showed condition-specific activations to one particular deviant, while others showed activations to a combination of two or more deviants.
The channels showing responses to tones in general and condition-specific effects were mostly observed bilaterally in temporal cortex. Frontal, anterior cingulate, and parietal cortices were also involved to a lesser extent. Our results, in line with the predictive coding framework, reveal that a distributed brain network is involved in auditory processing and deviance detection.
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Blenkmann, Alejandro Omar; Solbakk, Anne-Kristin; Lubell, James; Leske, Sabine Liliana; Llorens, Anaïs & Funderud, Ingrid
[Show all 14 contributors for this article]
(2019).
Human brain network involved in auditory deviance detection: Evidence from intracranial EEG recordings.
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Leske, Sabine Liliana; Lubell, James Isaac; Blenkmann, Alejandro Omar; Llorens, Anaïs; Funderud, Ingrid & Foldal, Maja Dyhre
[Show all 13 contributors for this article]
(2019).
Auditory prediction and prediction error in self-generated tones.
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Leske, Sabine Liliana; Lubell, James; Blenkmann, Alejandro Omar; Llorens, Anaïs; Funderud, Ingrid & Foldal, Maja Dyhre
[Show all 13 contributors for this article]
(2019).
Action-based auditory predictions.
Show summary
Sensory consequences of actions are predicted by the brain via an internal forward model to prepare sensory cortical areas, referred to as motor prediction. In a similar vein, the predictive coding framework suggests that perception is based on internal models making predictions about sensory events, based on statistical probabilities of the stimuli.
In the current study we investigated action-based sensory predictions. We used a self-paced, two-choice random generation task, infrequently inducing deviant outcomes of voluntary action. Participants repeatedly pressed a right and a left button normatively associated with a 70 ms long 1 kHz and 2 kHz tone, respectively. Occasional deviants occurred, inverting the learned button-tone association. Participants were instructed that their button presses should be random, at a regular but self-paced tempo of one press per 1-2 s, and that they should press both buttons with equal probability. They were informed that the tones are task-irrelevant.
We used intracranial EEG (iEEG) data recorded from 10 adult patients with electrodes localized in frontal and temporal lobes. The patients had drug resistant epilepsy and were undergoing presurgical monitoring via implanted stereotactic electrodes. Electrode coordinates and anatomical labels were obtained from coregistered MRI and CT images using iElectrodes toolbox. Initial results indicate that violations of action intentions modulated high frequency band activity (HFA, 75-145 Hz) in distributed brain regions including temporal and prefrontal cortices.
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Solbakk, Anne-Kristin; Endestad, Tor & Knight, Robert T.
(2018).
Neural oscillations and human behavior.
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Kam, Julia W.Y.; Lin, Jack J.; Solbakk, Anne-Kristin; Endestad, Tor; Larsson, Pål Gunnar & Knight, Robert T.
(2018).
Functional coupling between default network and fronto-parietal control network supports internally directed attention. .
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Blenkmann, Alejandro Omar; Lubell, James; Llorens, Anais; Funderud, Ingrid; Collavini, Santiago & Larsson, PG
[Show all 13 contributors for this article]
(2018).
Human insula response to auditory deviants: Evidence from intracranial EEG recordings.
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Myrvang, Anna Dahl; Stalsberg, Vibeke; Fandrem, Stein Inge; Hansen, Torgunn Alise; Vangberg, Torgil Riise & Stedal, Kristin
[Show all 10 contributors for this article]
(2018).
Cortical thickness in adolescent anorexia nervosa – the linear relation of cerebral structural changes and BMI.
Show summary
Several studies report reduction in gray matter volume in Anorexia Nervosa, but findings regarding the relationship between brain structure and bodily emaciation are inconsistent1. In the present study, we investigated cortical thickness and its relationship with BMI in recently diagnosed female adolescents patients. We hypothesized that patients had globally thinner cortex compared to healthy controls, and that thinner cortex should be significantly associated with BMI.
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Kam, Julia W.Y.; Solbakk, Anne-Kristin; Funderud, Ingrid; Endestad, Tor; Meling, Torstein Ragnar & Knight, Robert Thomas
(2018).
Orbitofrontal damage reduces auditory sensory response in humans.
Cortex.
ISSN 0010-9452.
101,
p. 309–312.
doi:
10.1016/j.cortex.2017.12.023.
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Slama, S.J.K.; Solbakk, Anne-Kristin; Endestad, Tor; Larsson, P.G.; Lin, Jack J. & King-Stephens, D.
[Show all 9 contributors for this article]
(2017).
Intracranial recordings define a cortical-mesial temporal network in top-down and bottom-up attention.
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Johnson, Elizabeth L.; Dewar, C.; Solbakk, Anne-Kristin; Endestad, Tor; Meling, Torstein Ragnar & Knight, Robert T.
(2017).
Causal evidence that bidirectional frontoparietal rhythms support working memory.
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Johnson, Elizabeth L.; Adams, J.N.; Griffin, S.M.; Solbakk, Anne-Kristin; Endestad, Tor & Larsson, P.G.
[Show all 9 contributors for this article]
(2017).
Dynamic frontotemporal systems for episodic working memory.
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Kam, J.W.Y.; Lin, J.J.; Endestad, Tor; Solbakk, Anne-Kristin; Larsson, P.G. & Griffin, S.
[Show all 7 contributors for this article]
(2017).
Contributions of medial prefrontal cortex to internally directed attention.
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Myrvang, Anna Dahl; Vangberg, Torgil; Stedal, Kristin; Endestad, Tor; Fandrem, Stein Inge & Rosenvinge, Jan H
[Show all 9 contributors for this article]
(2016).
Reduced functional connectivity in resting state networks in adolescents with anorexia nervosa: Preliminary results.
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Myrvang, Anna Dahl; Vangberg, Torgil Riise; Stedal, Kristin; Rø, Øyvind; Endestad, Tor & Fandrem, Stein Inge
[Show all 8 contributors for this article]
(2016).
Reduced functional connectivity in resting state networks in adolescents with anorexia nervosa.
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Foldal, Maja Dyhre; Solbakk, Anne-Kristin & Endestad, Tor
(2021).
Perceiving temporal structure in auditory stimuli: The role of attention and prediction.
Universitetet i Oslo.
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Eijsink, Henrik; Tørresen, Jim & Endestad, Tor
(2021).
Analyzing Brain Signals for Control.
Universitetet i Oslo.
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Nergård, Katrine Linnea; Tørresen, Jim & Endestad, Tor
(2021).
Analyzing Brain Signals for Robot Control.
Universitetet i Oslo.