Sascha Frühholz

Neural affect decoding from minimal spectrotemporal glimpses of voice signals

The paper investigates how affect can be decoded from voice signals under noise masking using psychoacoustic testing and neuroimaging, finding that specific spectrotemporal features are critical for accurate decoding.

Real-time affect decoding in the amygdalo-hippocampal circuit from dynamic auditory signals

This study investigates how affective speech influences limbic circuit synchronizations, highlighting the amygdala-hippocampal circuit's role in decoding auditory signals.

Functional and causal neural mechanisms of human voice perception in noisy situations

The paper investigates neural mechanisms for voice perception in noise by analyzing brain activity under varying noise conditions, finding key networks involved in voice comprehension.

Emotion induction modulates neural dynamics during ideational originality

The paper investigates how induced emotional states affect ideational originality and associated neural dynamics using EEG analysis.

Disrupting inferior frontal cortex activity alters affect decoding efficiency from clear but not from ambiguous affective speech

This study inhibits inferior frontal cortex activity during affective speech processing and finds it improves decision speed and accuracy for clear speech while reducing cortical activity and increasing fronto-limbic connectivity.

Neurocognitive processing efficiency for non-alarm rather than alarm signaling in human scream calls

This study identifies six types of human scream calls, showing non-alarm screams are more efficiently processed cognitively and neurally than alarm screams.

Frontoparietal, cerebellum network codes for accurate intention prediction in altered perceptual conditions

The paper shows that frontoparietal and cerebellar networks are crucial for predicting intentions in altered perceptual conditions, especially when visual representations are spatially and temporally modified.

Basal ganglia and cerebellar contributions to vocal emotion processing: a high resolution fMRI study

This study uses high-resolution fMRI to investigate the role of basal ganglia and cerebellum in vocal emotion processing, finding their involvement in activation and connectivity patterns for emotional voices.

Human discrimination and categorization of emotions in voices: a functional Near-Infrared Spectroscopy (fNIRS) study

This study uses fNIRS to examine brain activity during emotion discrimination and categorization in voices, finding hemispheric differences in processing fear and anger.