Publications by authors named "Markus Junghoefer"

Pavlovian fear conditioning is a fundamental process in both health and disease. We investigate its neural correlates and sources of variability using harmonized functional magnetic resonance imaging data from 2199 individuals across nine countries, including 1888 healthy individuals and 311 with anxiety-related or depressive disorders. Using mega-analysis and normative modeling, we show that fear conditioning consistently engages brain regions within the "central autonomic-interoceptive" or "salience" network.

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Gender identity and sexual orientation form fundamental characteristics of an individual's sexual identity and relate to patterns of physiological and neural activity involved in processing erotic or explicit sexual stimuli. To investigate this, we used high-density magnetoencephalography (MEG) to measure brain responses of hetero- and homosexual women and men to opposite- and same-sex erotic images, as well as sexually explicit images. Additionally, we administered pupillometry and subjective measures of hedonic valence and emotional arousal.

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Article Synopsis
  • Anxiety disorders impact brain connectivity, but how this varies among different types of anxiety disorders (like panic disorder and social anxiety disorder) isn't fully understood due to limited studies.
  • Researchers examined the brain connectivity of 439 anxiety disorder patients and 105 healthy controls using resting-state fMRI, finding notable differences in connectivity patterns, especially in panic disorder and agoraphobia patients.
  • The study revealed that panic disorder patients had increased connectivity in brain regions linked to emotion regulation, unlike those with social anxiety disorder or specific phobia, suggesting the potential for personalized treatment approaches based on these neurological differences.
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Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with clinical routine data have only resulted in moderate prediction accuracies. Neuroimaging data showed promise to predict treatment outcome, but previous prediction attempts have been exploratory and reported small clinical sample sizes. Herein, we aimed to examine the incremental predictive value of neuroimaging data in contrast to clinical and demographic data alone (for which results were previously published), using a two-level multimodal ensemble machine-learning strategy.

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The advent of the Research Domain Criteria (RDoC) approach to funding translational neuroscience has highlighted a need for research that includes measures across multiple task types. However, the duration of any given experiment is quite limited, particularly in neuroimaging contexts, and therefore robust estimates of multiple behavioral domains are often difficult to achieve. Here we offer a "turn-key" emotion-evoking paradigm suitable for neuroimaging experiments that demonstrates strong effect sizes across widespread cortical and subcortical structures.

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Background: It remains unclear to what extent reduced nutritional intake in anorexia nervosa (AN) is a consequence of a reduced motivational response to food. Although self-reports typically suggest AN patients have a reduced appetitive response, behavioral and neurophysiological measures have revealed evidence for both increased and reduced attentional biases towards food stimuli. The mechanisms influencing food perception in AN, might be clarified using time-sensitive magnetoencephalography (MEG) to differentiate the early (more automatic processing) stages from the late (more controlled) stages.

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Acquired fear responses often generalize from conditioned stimuli (CS) towards perceptually similar, but harmless generalization stimuli (GS). Knowledge on similarities between CS and GS may be explicit or implicit. Employing behavioral measures and whole-head magnetoencephalography, we here investigated the neurocognitive mechanisms underpinning implicit fear generalization.

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The ventromedial prefrontal cortex (vmPFC) is known to be specifically involved in the processing of stimuli with pleasant, rewarding meaning to the observer. By the use of non-invasive transcranial direct current stimulation (tDCS), it was previously possible to show evidence for this valence specificity and to modulate the impact of the vmPFC on emotional network processing. Prior results showed increased neural activation during pleasant relative to unpleasant stimulus processing after excitatory compared to inhibitory vmPFC-tDCS.

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Hemispheric asymmetries play an important role in multiple cerebral functions. Asymmetries in prefrontal cortex (PFC) function have been suggested to regulate emotional processing in that right-hemispheric dominance biases towards negative affect, whereas left PFC dominance favors positive affect. This study used transcranial magnetic stimulation to test the causal role of prefrontal asymmetries in the processing of emotional stimuli.

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The dorsolateral prefrontal cortex (DLPFC) plays a key role in the modulation of affective processing. However, its specific role in the regulation of neurocognitive processes underlying the interplay of affective perception and visual awareness has remained largely unclear. Using a mixed factorial design, this study investigated effects of inhibitory continuous theta-burst stimulation (cTBS) of the right DLPFC (rDLPFC) compared to an Active Control condition on behavioral ( = 48) and electroencephalographic ( = 38) correlates of affective processing in healthy Chinese participants.

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Different degrees of threat predictability are thought to induce either phasic fear or sustained anxiety. Maladaptive, sustained anxious apprehension is thought to result in overgeneralization of anxiety and thereby to contribute to the development of anxiety disorders. Therefore, differences in threat predictability have been associated with pathological states of anxiety with specific phobia (SP) representing phasic fear as heightened response to predictable threat, while panic disorder (PD) is characterized by sustained anxiety (unpredictable threat) and, as a consequence, overgeneralization of fear.

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Chronic tinnitus seems to be caused by reduced inhibition among frequency selective neurons in the auditory cortex. One possibility to reduce tinnitus perception is to induce inhibition onto over-activated neurons representing the tinnitus frequency via tailor-made notched music (TMNM). Since lateral inhibition is modifiable by spectral energy contrasts, the question arises if the effects of inhibition-induced plasticity can be enhanced by introducing increased spectral energy contrasts (ISEC) in TMNM.

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Beamforming approaches have recently been developed for the field of electroencephalography (EEG) and magnetoencephalography (MEG) source analysis and opened up new applications within various fields of neuroscience. While the number of beamformer applications thus increases fast-paced, fundamental methodological considerations, especially the dependence of beamformer performance on leadfield accuracy, is still quite unclear. In this article, we present a systematic study on the influence of improper volume conductor modeling on the source reconstruction performance of an EEG-data based synthetic aperture magnetometry (SAM) beamforming approach.

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