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Dive into the research topics where Linda van der Heiden is active.

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Featured researches published by Linda van der Heiden.


NeuroImage | 2013

Inter-individual differences in successful perspective taking during pain perception mediates emotional responsiveness in self and others: an fMRI study.

Linda van der Heiden; Sigrid Scherpiet; Lilian Konicar; Niels Birbaumer; Ralf Veit

Human empathy is an important component of social cognition that involves complex processes of emotional perspective taking and the issue of self/other distinction. Empathic perception enables us to experience negative emotions when someone else undergoes painful events. We investigated the influence of an extended time interval (10s) and subjective performance evaluation (following each trial) of perspective taking on the cortical and subcortical correlates of pain empathy in eighteen healthy subjects using functional magnetic resonance imaging (fMRI). Subjects were presented pictures of hands and feet in painful and non-painful situations. They were instructed to simply view the picture (View) or adopt either their own perspective (Self) or the perspective of a third-person (Other). Prolonged time intervals of stimulus presentation enabled the analysis of different perspective taking processes (Self versus Other). Enhanced activation in the left supramarginal gyrus was detected for adopting the Self compared to the Other perspective. Time course analysis showed an early peak in the trials, suggesting that taking the first-person perspective is an intuitive more automatic process. The comparison between the Other and Self condition evoked stronger activity in dorso- and ventrolateral prefrontal areas and the superior temporal sulcus (STS). For these areas, a peak in the later phase of the trials was found, suggesting that taking the third-person perspective requires more effort and is an ongoing process. This was also supported by the fact that the participants were subjectively more successful in adopting the Self perspective compared to the Other. Our findings support that especially during the Other condition, prolonged time periods seem to facilitate empathic responses. Individual ratings of performance enabled the comparison between subjects that were successful and unsuccessful at taking the Self or Other perspective. For Self, differential activations were found in the left insula and postcentral gyrus. For Other, differential activations were mainly observed in the left pallidum, bilateral VLPFC, the right middle orbitofrontal cortex OFC and the middle cingulate cortex (MCC). These results suggest that trial-specific success ratings allow us to disentangle differences between effort-related and successful engagement in perspective taking. These two adjustments to the well-known paradigm showed new insight into the aspects of perspective taking during pain perception.


Neuroscience Letters | 2012

Prefrontal brain asymmetry and aggression in imprisoned violent offenders

Philipp M. Keune; Linda van der Heiden; Bálint Várkuti; Lilian Konicar; Ralf Veit; Niels Birbaumer

Anterior brain asymmetry, assessed through the alpha and beta band in resting-state electroencephalogram (EEG) is associated with approach-related behavioral dispositions, particularly with aggression in the general population. To date, the association between frontal asymmetry and aggression has not been examined in highly aggressive groups. We examined the topographic characteristics of alpha and beta activity, the relation of both asymmetry metrics to trait aggression, and whether alpha asymmetry was extreme in anterior regions according to clinical standards in a group of imprisoned violent offenders. As expected, these individuals were characterized by stronger right than left-hemispheric alpha activity, which was putatively extreme in anterior regions in one third of the cases. We also report that in line with observations made in the general population, aggression was associated with stronger right-frontal alpha activity in these violent individuals. This suggests that frontal alpha asymmetry, as a correlate of trait aggression, might be utilizable as an outcome measure in studies which assess the effects of anti-aggressiveness training in violent offenders.


PLOS ONE | 2013

Prediction of P300 BCI Aptitude in Severe Motor Impairment

Sebastian Halder; Carolin A. Ruf; Adrian Furdea; Emanuele Pasqualotto; Daniele De Massari; Linda van der Heiden; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler; Tamara Matuz

Brain-computer interfaces (BCIs) provide a non-muscular communication channel for persons with severe motor impairments. Previous studies have shown that the aptitude with which a BCI can be controlled varies from person to person. A reliable predictor of performance could facilitate selection of a suitable BCI paradigm. Eleven severely motor impaired participants performed three sessions of a P300 BCI web browsing task. Before each session auditory oddball data were collected to predict the BCI aptitude of the participants exhibited in the current session. We found a strong relationship of early positive and negative potentials around 200 ms (elicited with the auditory oddball task) with performance. The amplitude of the P2 (r  =  −0.77) and of the N2 (r  =  −0.86) had the strongest correlations. Aptitude prediction using an auditory oddball was successful. The finding that the N2 amplitude is a stronger predictor of performance than P3 amplitude was reproduced after initially showing this effect with a healthy sample of BCI users. This will reduce strain on the end-users by minimizing the time needed to find suitable paradigms and inspire new approaches to improve performance.


Frontiers in Behavioral Neuroscience | 2014

Insula and inferior frontal triangularis activations distinguish between conditioned brain responses using emotional sounds for basic BCI communication

Linda van der Heiden; Giulia Liberati; Ranganatha Sitaram; Sunjung Kim; Piotr Jaśkowski; Antonino Raffone; Marta Olivetti Belardinelli; Niels Birbaumer; Ralf Veit

In order to enable communication through a brain-computer interface (BCI), it is necessary to discriminate between distinct brain responses. As a first step, we probed the possibility to discriminate between affirmative (“yes”) and negative (“no”) responses using a semantic classical conditioning paradigm, within an fMRI setting. Subjects were presented with congruent and incongruent word-pairs as conditioned stimuli (CS), respectively eliciting affirmative and negative responses. Incongruent word-pairs were associated to an unpleasant unconditioned stimulus (scream, US1) and congruent word-pairs were associated to a pleasant unconditioned stimulus (baby-laughter, US2), in order to elicit emotional conditioned responses (CR). The aim was to discriminate between affirmative and negative responses, enabled by their association with the positive and negative affective stimuli. In the late acquisition phase, when the US were not present anymore, there was a strong significant differential activation for incongruent and congruent word-pairs in a cluster comprising the left insula and the inferior frontal triangularis. This association was not found in the habituation phase. These results suggest that the difference in affirmative and negative brain responses was established as an effect of conditioning, allowing to further investigate the possibility of using this paradigm for a binary choice BCI.


Frontiers in Neuroscience | 2013

Semantic classical conditioning and brain-computer interface control: encoding of affirmative and negative thinking.

Carolin A. Ruf; Daniele De Massari; Adrian Furdea; Tamara Matuz; Chiara Fioravanti; Linda van der Heiden; Sebastian Halder; Niels Birbaumer

The aim of the study was to investigate conditioned electroencephalography (EEG) responses to factually correct and incorrect statements in order to enable binary communication by means of a brain-computer interface (BCI). In two experiments with healthy participants true and false statements (serving as conditioned stimuli, CSs) were paired with two different tones which served as unconditioned stimuli (USs). The features of the USs were varied and tested for their effectiveness to elicit differentiable conditioned reactions (CRs). After acquisition of the CRs, these CRs to true and false statements were classified offline using a radial basis function kernel support vector machine. A mean single-trial classification accuracy of 50.5% was achieved for differentiating conditioned “yes” versus “no” thinking and mean accuracies of 65.4% for classification of “yes” and 68.8% for “no” thinking (both relative to baseline) were found using the best US. Analysis of the area under the curve of the conditioned EEG responses revealed significant differences between conditioned “yes” and “no” answers. Even though improvements are necessary, these first results indicate that the semantic conditioning paradigm could be a useful basis for further research regarding BCI communication in patients in the complete locked-in state.


Alzheimers & Dementia | 2011

Classical conditioning of the BOLD signal as a paradigm for basic BCI communication in Alzheimer patients

Giulia Liberati; Linda van der Heiden; Ranganatha Sitaram; Sunjung Kim; Mohit Rana; Antonino Raffone; Niels Birbaumer; Marta Olivetti Belardinelli

Background Alzheimer patients express their need of social interaction even when their communication abilities are highly impaired. (Mayhew et al., 2001). Brain-computer interfaces (BCI), already used with severely paralyzed patients, may be adapted for communicating with Alzheimer patients by shifting the paradigm from instrumental-operant learning to classical conditioning (Birbaumer, 2006), e.g. by associating “yes” thinking to a positive emotion and “no” thinking to a negative emotion. We designed an fMRI-based BCI setting aimed at conditioning subjects to associate positive and negative emotional stimuli with respectively congruent and incongruent word pairs, in view of a BCI application for basic yes/no communication. Methods fMRI was performed on 6 healthy subjects during a classical conditioning session, comprising the phases of habituation, acquisition and extinction. The unconditioned stimuli consisted of a positive (baby laughter) and negative (scream) emotional sound. The conditioned stimuli, presented aurally, were congruent (e.g. “animal-elephant”) and incongruent (e.g. “animal-Germany”) word pairs. During the conditioning acquisition phase, congruent word pairs were associated to the baby laughter and incongruent word pairs were associated to the scream. A linear Support Vector Machine was implemented to classify the BOLD signal corresponding to congruent and incongruent word pairs. To investigate the relative importance of distinct brain areas in decoding different brain states, feature vectors from the frontal cortex were also used as input to build a separate classifier. Results Participants rated in the Self Assessment Manikin (SAM) the scream and the laughter as having, respectively, negative and positive valence. Moreover, the scream was associated to higher arousal compared to the baby laughter. Classification of the BOLD signal as a response to the congruent and incongruent word pairs immediately followed by the emotional unconditioned stimuli showed above chance level performance (57-64%) in one subject, while the performance was chance level on the remaining subjects (44-56%). Conclusions We presented a possible paradigm for basic yes/no communication, based on the conditioning of BOLD signal by the repeated association of emotional and semantic stimuli. The performance of the classifier by feature selection needs to be improved before being tested with Alzheimer patients. Future developments also comprise an online implementation of the system.


Brain | 2013

Brain communication in the locked-in state

Daniele De Massari; Carolin A. Ruf; Adrian Furdea; Tamara Matuz; Linda van der Heiden; Sebastian Halder; Stefano Silvoni; Niels Birbaumer


Journal of Alzheimer's Disease | 2012

Toward a brain-computer interface for Alzheimer's disease patients by combining classical conditioning and brain state classification.

Giulia Liberati; Josué Dalboni da Rocha; Linda van der Heiden; Antonino Raffone; Niels Birbaumer; Marta Olivetti Belardinelli; Ranganatha Sitaram


Organization for Human Brain Mapping | 2011

Classical conditioning of the BOLD signal: A paradigm for basic BCI communication

Giulia Liberati; Linda van der Heiden; Sunjung Kim; Mohit Rana; Antonino Raffone; Marta Olivetti Belardinelli; Niels Birbaumer; Ranganatha Sitaram


Real-time functional imaging and neurofeedback | 2015

Classification of affirmative and negative brain responses within an fMRI classical conditioning paradigm using Effect Mapping for feature selection

Enrico Opri; Giulia Liberati; Linda van der Heiden; Josué Dalboni da Rocha; Ralf Veit; Mohit Rana; Sunjung Kim; Piotr Jaskowski; Antonino Raffone; Marta Olivetti Belardinelli; Niels Birbaumer; Ranganatha Sitaram

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Antonino Raffone

Sapienza University of Rome

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Giulia Liberati

Université catholique de Louvain

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Ralf Veit

University of Tübingen

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Sunjung Kim

University of Tübingen

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