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Julia Moser

3 papers in the library · 241 citations · publishing 2019-2024

Papers

Psilocybin desynchronizes the human brain.

Nature August 1, 2024 Joshua S Siegel, Subha Subramanian, Demetrius Perry et al. 241 citations

A single high dose of psilocybin (25 mg) massively disrupts functional connectivity in the human brain, causing more than threefold greater change than methylphenidate (40 mg). These changes are driven by desynchronization across spatial scales, dissolving network distinctions by reducing correlations within and anticorrelations between networks. The strongest effects occur in the default mode network, which is connected to the anterior hippocampus and is thought to create the sense of space, time, and self. Individual differences in connectivity changes are strongly linked to the subjective psychedelic experience. A persistent decrease in connectivity between the anterior hippocampus and default mode network lasts for weeks, suggesting a neuroanatomical correlate of the therapeutic and proplasticity effects of psychedelics.

Consciousness in the cradle: on the emergence of infant experience

Trends in Cognitive Sciences October 1, 2023 Tim Bayne, Joel Frohlich, R. Cusack et al.

Evidence from studies of functional network connectivity, attention, multimodal integration, and cortical responses to global oddballs suggests that consciousness is likely present in early infancy and may even occur before birth. Recent research is beginning to provide clues about both the content and structure of infant consciousness.

Evaluating Complexity of Fetal MEG Signals: A Comparison of Different Metrics and Their Applicability.

Frontiers in systems neuroscience January 1, 2019 Julia Moser, Siouar Bensaid, Eleni Kroupi et al.

Information-based metrics of neural activity can help quantify consciousness before and shortly after birth. Using fetal magnetoencephalography (fMEG) in human fetuses and neonates, researchers evaluated measures of entropy, compressibility, and fractality. Lempel-Ziv-Complexity (LZC) was the most practical metric because it is unequivocal and requires low computational effort, whereas fractality and entropy measures need more parameter adjustments. Comparing a brain-activity channel with a control channel in neonates showed significant differences in most complexity metrics, serving as proof of concept. For fetal data, results were less clear, possibly due to leftover maternal signals. The inconsistency across metrics highlights challenges in using complexity metrics as neural correlates of consciousness.