Network neuroscience (Cambridge, Mass.)
2026
Hiba Sheheitli, Robert Hermosillo, Gracie Grimsrud et al.
Metastability of BOLD fMRI signals is a commonly used proxy of brain dynamics in behavioral and clinical studies. To date, little has been done to assess the confidence with which we can use estimates of metastability as reliable biomarkers of individual brain state. We analyze whole-brain and network-specific metastability for a highly sampled individual brain (84 sessions taken over 18...
Network neuroscience (Cambridge, Mass.)
2025
Isaac N Treves, Winson F.z. Yang, Terje Sparby et al.
6 citations
Advanced meditation consists of states and stages of practice that unfold with mastery and time. Dynamic functional connectivity (DFC) analysis of fMRI could identify brain states underlying advanced meditation. We conducted an intensive DFC case study of a meditator who completed 27 runs of jhāna advanced absorptive concentration meditation (ACAM-J), concurrently with 7-T fMRI and...
Network neuroscience (Cambridge, Mass.)
2025
Ioanna Amaya, Till Nierhaus, Timo T Schmidt
Aberrant thalamocortical connectivity occurs together with visual hallucinations in various pathologies and drug-induced states, highlighting the need to better understand how thalamocortical interactions may contribute to hallucinatory phenomena. Flicker light stimulation (FLS) at 10-Hz reliably and selectively induces transient visual hallucinations in healthy participants. Arrhythmic flicker...
Network neuroscience (Cambridge, Mass.)
2024
Paulina Clara Dagnino, Javier A. Galadí, Estela Càmara et al.
4 citations
Contemplative neuroscience has increasingly explored meditation using neuroimaging. However, the brain mechanisms underlying meditation remain elusive. Here, we implemented a mechanistic framework to explore the spatiotemporal dynamics of expert meditators during meditation and rest, and controls during rest. We first applied a model-free approach by defining a probabilistic metastable substate...
Network neuroscience (Cambridge, Mass.)
2022
Athena Demertzi, Aaron Kucyi, Adrián Ponce-Alvarez et al.
Spontaneous brain activity changes across states of consciousness. A particular consciousness-mediated configuration is the anticorrelations between the default mode network and other brain regions. What this antagonistic organization implies about consciousness to date remains inconclusive. In this Perspective Article, we propose that anticorrelations are the physiological expression of the...
Network neuroscience (Cambridge, Mass.)
2020
Marzie Saghayi, Jonathan Greenberg, Christopher O'Grady et al.
Adherence determines the success and benefits of mental training (e.g., meditation) programs. It is unclear why some participants engage more actively in programs for mental training than others. Understanding neurobiological factors that predict adherence is necessary for understanding elements of learning and to inform better designs for new learning regimens. Clustering patterns in brain...
Network neuroscience (Cambridge, Mass.)
2018
Peter Grindrod
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-neuron dynamical networks. We explain how the dynamical behavior of relatively small-scale strongly connected networks leads naturally to nonbinary information processing and thus to multiple hypothesis decision-making, even at the very lowest level of the brain's architecture. In turn we build on...