Daniel Lundqvist

Daniel Lundqvist
Karolinska Institutet | KI · Department of Clinical Neuroscience

PhD

About

113
Publications
36,985
Reads
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5,599
Citations
Citations since 2016
71 Research Items
2778 Citations
20162017201820192020202120220100200300400
20162017201820192020202120220100200300400
20162017201820192020202120220100200300400
20162017201820192020202120220100200300400
Additional affiliations
September 2012 - present
Karolinska Institutet
Position
  • Head of Unit - @ NatMEG - the national facility for magnetoencephalography (MEG)

Publications

Publications (113)
Preprint
Full-text available
The auditory steady-state response (ASSR) is an oscillatory brain response generated by periodic auditory stimuli and originates mainly from the temporal auditory cortices. Recent data show that while the auditory cortices are indeed strongly activated by the stimulus when it is present (ON ASSR), the anatomical distribution of ASSR sources involve...
Article
Full-text available
The auditory steady-state response (ASSR) is an oscillatory brain response generated by periodic auditory stimuli and originates mainly from the temporal auditory cortices. Recent data show that while the auditory cortices are indeed strongly activated by the stimulus when it is present (ON ASSR), the anatomical distribution of ASSR sources involve...
Article
Deficits in response inhibition are a central feature of the highly prevalent dysexecutive syndrome found in Parkinson’s disease (PD). Such deficits are related to a range of common clinically relevant symptoms including cognitive impairment as well as impulsive and compulsive behaviors. In this study, we explored the cortical dynamics underlying r...
Preprint
Full-text available
Objective Whole-head on scalp magnetoencephalography (osMEG) is a novel, cutting-edge functional neuroimaging technique that positions MEG sensors closer to the cortical sources. OsMEG allows both for free head movements and improved spatial resolution compared to conventional MEG. OsMEG thus might improve clinical epilepsy evaluations. However, it...
Article
Objective Interictal epileptiform discharges (IEDs) constitute a diagnostic signature of epilepsy. These events reflect epileptogenic hypersynchronization. Previous studies indicated that IEDs arise from slow neuronal activation accompanied by metabolic and hemodynamic changes. These might induce cortical inhibition followed hypersynchronization at...
Preprint
Full-text available
Survival and adaptation in environments require swift and efficacious learning about what is dangerous. Across species, much of such threat learning is acquired socially, for example, through the observation of others’ (“demonstrators’”) defensive behaviors. However, the specific mechanisms responsible for the integration of information flowing bet...
Article
Full-text available
Humans can direct attentional resources to a single sound occurring simultaneously among others to extract the most behaviourally relevant information present. To investigate this cognitive phenomenon in a precise manner, we used frequency-tagging to separate neural auditory steady-state responses (ASSRs) that can be traced back to each auditory st...
Preprint
Parkinson's disease (PD) is associated with changes in neural activity in the sensorimotor alpha and beta bands. Using magnetoencephalography (MEG), we investigated the role of spontaneous neuronal activity within the somatosensory cortex in a large cohort of early- to mid-stage PD patients (N = 78) and age- and sex matched healthy controls (N = 60...
Article
Objective: Parkinson's disease (PD) is a neurodegenerative disorder which can substantially affect nonmotor functions related to emotional processing. We aimed to examine the underlying differences in emotional processing in PD by comparing how early-stage PD patients recognize, rate, and react to facial, bodily, and vocal emotional stimuli to tha...
Article
Full-text available
An individual’s blood pressure (BP) reactivity to stress is linked to increased risk of hypertension and cardiovascular disease. However, inter- and intra-individual BP variability makes understanding the coupling between stress, BP reactivity, and long-term outcomes challenging. Previous microneurographic studies of sympathetic signaling to muscle...
Article
Full-text available
Facial emotional expressions are pivotal for social communication. Their fast and accurate recognition is crucial to promote adaptive responses to social demands, for the development of functional relationships, and for well-being. However, the literature has been inconsistent in showing differentiated recognition patterns for positive vs. negative...
Article
Full-text available
The immediate detection and correct processing of affective facial expressions are one of the most important competences in social interaction and thus a main subject in emotion and affect research. Generally, studies in these research domains, use pictures of adults who display affective facial expressions as experimental stimuli. However, for stu...
Article
Alexithymia is characterized by a reduced ability to identify and differentiate emotional aspects of social interaction. In this study we investigated, for the first time, whether alexithymia impairs facial mimicry in response to dynamic naturalistic facial affect expressions. Potential volunteers were recruited by means of an online survey (N = 35...
Article
It is debated whether men with borderline personality disorder (BPD) are less often treated for their disorder, compared to women, even when they have sought care. Here, the aim was to examine gender differences in the treatment of patients with BPD. Through linkage to Swedish health and administrative registers, we identified all patients diagnose...
Preprint
Full-text available
Parkinson’s disease (PD) is associated with changes in neural activity in the sensorimotor alpha and beta bands. Using magnetoencephalography (MEG), we investigated the role of spontaneous neuronal activity within the somatosensory cortex in a large cohort of early-to mid-stage PD patients (N = 78) and age- and sex matched healthy controls (N = 60)...
Conference Paper
Full-text available
Little is known about the neural mechanisms of threat learning through social means, such as observation of others. We address this dearth of knowledge through a multi-brain framework by recording brain activity (Magnetoencephalography, MEG) in Observers learning the threat value of stimuli through watching Demonstrators’ aversive reactions to the...
Preprint
Parkinson’s Disease (PD) is a neurodegenerative disorder which can substantially affect nonmotor functions related to emotional processing. However, previous studies investigating the effects of PD on emotional processing have produced conflicting results. In the current study, we aimed to examine the underlying differences in emotional processing...
Article
Full-text available
Under adverse listening conditions, prior linguistic knowledge about the form (i.e., phonology) and meaning (i.e., semantics) help us to predict what an interlocutor is about to say. Previous research has shown that accurate predictions of incoming speech increase speech intelligibility, and that semantic predictions enhance the perceptual clarity...
Article
Full-text available
Magnetoencephalography (MEG) has a unique capacity to resolve the spatio-temporal development of brain activity from non-invasive measurements. Conventional MEG, however, relies on sensors that sample from a distance (20-40 mm) to the head due to thermal insulation requirements (the MEG sensors function at 4 K in a helmet). A gain in signal strengt...
Preprint
Full-text available
Epilepsy is characterized by recurrent seizures and may also have negative influence on cognitive function. In addition to ictal activity, the epileptic brain also gives rise to interictal epileptiform discharges (IEDs). These IEDs constitute the diagnostic hallmark of epilepsy, and have been linked to impaired memory formation and negative effects...
Article
Full-text available
Objective Conventional MEG provides an unsurpassed ability to, non-invasively, detect epileptic activity. However, highly resolved information on small neuronal populations required in epilepsy diagnostics is lost and can be detected only intracranially. Next-generation on-scalp magnetencephalography (MEG) sensors aim to retrieve information unavai...
Article
Full-text available
Selective auditory attention allows us to focus on relevant sounds within noisy or complex auditory environments, and is essential for the processing of speech and music. The auditory steady-state response (ASSR) has been proposed as a neural measure for tracking selective auditory attention, even within continuous and complex soundscapes. However,...
Article
Full-text available
Parkinson’s disease is characterized by a gradual loss of dopaminergic neurons, which is associated with altered neuronal activity in the beta-band (13-30 Hz). Assessing beta-band activity typically involves transforming the time-series to get the power of the signal in the frequency-domain. Such transformation assumes that the time-series can be r...
Article
Full-text available
Source modelling in magnetoencephalography (MEG) requires precise co-regis-tration of the sensor array and the anatomical structure of the measured individual's head. In conventional MEG, the positions and orientations of the sensors relative to each other are fixed and known beforehand, requiring only localization of the head relative to the senso...
Preprint
Full-text available
Selective auditory attention allows us to focus on relevant sounds within noisy or complex auditory environments, and is essential for the processing of speech and music. The auditory steady-state response (ASSR) has been proposed as a neural measure for tracking selective auditory attention, even within continuous and complex soundscapes. However,...
Preprint
Full-text available
Magnetoencephalography (MEG) is an important part of epilepsy evaluations because of its unsurpassed ability to detect interictal epileptiform discharges (IEDs). This ability may be improved by next-generation MEG sensors, where sensors are placed directly on the scalp instead of in a fixed-size helmet, as in today's conventional MEG systems. In or...
Preprint
Full-text available
Parkinson’s disease is characterized by a gradual loss of dopaminergic neurons, which are associated with altered neuronal activity in the beta band (13-30 Hz). Assessing beta band activity typically involves transforming the time-series to get the power of the signal in the frequency-domain. Such transformation assumes that the time-series can be...
Article
Full-text available
Positive affective touch plays a central role in social and inter-personal interactions. Low-threshold mechanoreceptive afferents, including slowly-conducting C-tactile (CT) afferents found in hairy skin, transmit such signals from gentle touch to the brain. Tactile signals are processed, in part, by the posterior insula, where it is the thought to...
Preprint
Full-text available
Magnetoencephalography (MEG) has a unique capacity to resolve the spatio-temporal development of brain activity from non-invasive measurements. Conventional MEG, however, relies on sensors that sample from a distance (20-40 mm) to the head due to thermal insulation requirements (the MEG sensors function at 4 K in a helmet). A gain in signal strengt...
Article
Full-text available
Motor symptoms are defining traits in the diagnosis of Parkinson’s disease (PD). A crucial component in motor function is the integration of afferent proprioceptive sensory feedback. Previous studies have indicated abnormal movement-related cortical oscillatory activity in PD, but the role of the proprioceptive afference on abnormal oscillatory act...
Article
Full-text available
Abstract Prior research using static facial stimuli (photographs) has identified diagnostic face regions (i.e., functional for recognition) of emotional expressions. In the current study, we aimed to determine attentional orienting, engagement, and time course of fixation on diagnostic regions. To this end, we assessed the eye movements of observer...
Data
Human and automated expression and action unit categorization. Measures of recognition performance by human observers and automated analysis for each KDEF-dyn stimulus.
Data
Low-level image statistics of intensities. Image values at each of 31 intensity levels (in 3.33% steps).
Data
FACET assessment of intensities. Evidence values for each expression and action units, at each of 31 intensity levels (in 3.33% steps).
Data
Stimuli. Video-clip stimuli_MP4. Two hundred and forty video-clips, separated for each of six emotional expression categories (40 video-clips each).
Article
Full-text available
Most experimental studies of facial expression processing have used static stimuli (photographs), yet facial expressions in daily life are generally dynamic. In its original photographic format, the Karolinska Directed Emotional Faces (KDEF) has been frequently utilized. In the current study, we validate a dynamic version of this database, the KDEF...
Article
Full-text available
The brain builds up expectations to future events based on the patterns of past events. This function has been studied extensively in the auditory and visual domains using various oddball paradigms, but only little exploration of this phenomenon has been done in the somatosensory domain. In this study, we explore how expectations of somatosensory s...
Preprint
Full-text available
The brain builds up expectations to future events based on the patterns of past events. This function has been studied extensively in the auditory and visual domains using various oddball paradigms, but only little exploration of this phenomenon has been done in the somatosensory domain. In this study, we explore how expectations of somatosensory s...
Preprint
Full-text available
Motor symptoms are defining traits in the diagnosis of Parkinson's disease (PD). A crucial component in motor function and control of movements is the integration of efferent signals from the motor network to the peripheral motor system, and afferent proprioceptive sensory feedback. Previous studies have indicated abnormal movement-related cortical...
Article
Full-text available
Accurate estimation of the neural activity underlying magnetoencephalography (MEG) signals requires co-registration i.e., determination of the position and orientation of the sensors with respect to the head. In modern MEG systems, an array of hundreds of low-Tc SQUID sensors is used to localize a set of small, magnetic dipole-like (head-position i...
Article
Full-text available
In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice database available for scientific use, containing a total of 2,159 validated emotional voice stimuli. The EU-Emotion voice stimuli consist of audio-recordings of 54 actors, each uttering sentences with the intention of conveying 20 different emotion...
Article
Full-text available
This report describes the results of a survey undertaking by NatMEG (the Swedish national facility for magnetoencephalography; www.natmeg.se), performed under the auspices of Swedish Bioimaging. The three Swedish national imaging facilities (MEG, 7T MRI, PET-MR) are all fairly new and their user base and establishment for applications in research a...
Article
Full-text available
The development of new magnetic sensor technologies that promise sensitivities approaching that of conventional MEG technology while operating at far lower operating temperatures has catalysed the growing field of on-scalp MEG. The feasibility of on-scalp MEG has been demonstrated via benchmarking of new sensor technologies performing neuromagnetic...
Article
Full-text available
Post-error slowing (PES) is consistently observed in decision-making tasks after negative feedback. Yet, findings are inconclusive as to whether PES supports performance accuracy. We addressed the role of PES by employing drift diffusion modeling which enabled us to investigate latent processes of reaction times and accuracy on a large-scale datase...