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Goelman, G.

Publications and source records attributed to Goelman, G..

2 recordsLinked to original sources

Velocities of Hippocampal Traveling Waves Proportional to Their Coherence Frequency

Cortical traveling waves, characterized by their spatial, temporal, and frequency attributes, offer insights into active regions, timing, frequency, and the direction of activity propagation. Recent evidence suggests that these waves directionality and spatiotemporal extent encode cognitive processes, yet the encoding mechanism related to their frequency remains unclear. We explore the hypothesis that coherence frequency dictates the velocity of wave propagation. Using nonlinear coherence analysis to compute propagation pathways among four local-field-potential signals collected along the human hippocampuss long axis, we present evidence that the coherence frequency of traveling waves encodes temporal communication aspects. Unlike linear analyses, which may overestimate velocities due to bidirectional flow when considering multiple pair coherences, nonlinear analysis treats pathways as holistic units with affectively unidirectional flow, making it more suitable for calculating wave velocities. Our findings reveal that propagation velocities along the hippocampus at low frequencies (<[~]35Hz) demonstrate a linear dependency on frequency, with an increased slope at higher frequencies, suggesting different underlying mechanisms. Although observed within the hippocampus, these findings capture a dependency between frequency and velocity of traveling waves which may be applicable to other cortical areas as well.

neuroscience↗

Emotional states as distinct configurations of functional brain networks

The conceptualization of emotional states as patterns of interactions between large-scale brain networks has recently gained support. Yet, few studies have directly examined the brains network structure during emotional experiences. Here, we investigated the brains functional network organization during experiences of sadness, amusement, and neutral states elicited by movies, in addition to a resting-state. We tested the effects of the experienced emotion on individual variability in the brains functional connectome. Next, for each state, we defined a community structure of the brain and quantified its segregation and integration. We found that sadness, relative to amusement, was associated with higher modular integration and increased connectivity of cognitive control networks: the salience and fronto-parietal networks. Moreover, in both the functional connectome and the emotional report, the similarity between individuals was dependent on the sex. Our results suggest that the experience of emotion is linked to a reconfiguration of whole-brain distributed, not emotion-specific, functional networks and that the brains topological structure carries information about the subjective emotional experience.

neuroscience↗