[HTML][HTML] Self-organized criticality in the brain
Self-organized criticality (SOC) refers to the ability of complex systems to evolve toward a
second-order phase transition at which interactions between system components lead to …
second-order phase transition at which interactions between system components lead to …
A roadmap to integrate astrocytes into Systems Neuroscience
Abstract Systems neuroscience is still mainly a neuronal field, despite the plethora of
evidence supporting the fact that astrocytes modulate local neural circuits, networks, and …
evidence supporting the fact that astrocytes modulate local neural circuits, networks, and …
High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors
Abstract Recording infraslow brain signals (< 0.1 Hz) with microelectrodes is severely
hampered by current microelectrode materials, primarily due to limitations resulting from …
hampered by current microelectrode materials, primarily due to limitations resulting from …
[HTML][HTML] Diversity of cortical activity changes beyond depression during spreading depolarizations
A Nasretdinov, D Vinokurova, CL Lemale… - Nature …, 2023 - nature.com
Spreading depolarizations (SDs) are classically thought to be associated with spreading
depression of cortical activity. Here, we found that SDs in patients with subarachnoid …
depression of cortical activity. Here, we found that SDs in patients with subarachnoid …
[HTML][HTML] Modulation of cortical slow oscillations and complexity across anesthesia levels
The ability of different groups of cortical neurons to engage in causal interactions that are at
once differentiated and integrated results in complex dynamic patterns. Complexity is low …
once differentiated and integrated results in complex dynamic patterns. Complexity is low …
Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation
Accurate population models are needed to build very large-scale neural models, but their
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …
[HTML][HTML] M-current modulation of cortical slow oscillations: Network dynamics and computational modeling
L Dalla Porta, A Barbero-Castillo… - PLOS Computational …, 2023 - journals.plos.org
The slow oscillation is a synchronized network activity expressed by the cortical network in
slow wave sleep and under anesthesia. Waking up requires a transition from this …
slow wave sleep and under anesthesia. Waking up requires a transition from this …
[HTML][HTML] Impact of GABAA and GABAB inhibition on cortical dynamics and perturbational complexity during synchronous and desynchronized states
A Barbero-Castillo, P Mateos-Aparicio… - Journal of …, 2021 - Soc Neuroscience
Quantitative estimations of spatiotemporal complexity of cortical activity patterns are used in
the clinic as a measure of consciousness levels, but the cortical mechanisms involved are …
the clinic as a measure of consciousness levels, but the cortical mechanisms involved are …
Cortex-wide dynamics of intrinsic electrical activities: propagating waves and their interactions
Cortical circuits generate patterned activities that reflect intrinsic brain dynamics that lay the
foundation for any, including stimuli-evoked, cognition and behavior. However, the …
foundation for any, including stimuli-evoked, cognition and behavior. However, the …
[HTML][HTML] Patient-reported outcome measures for post-mastectomy breast reconstruction: a systematic review of development and measurement properties
CF Davies, R Macefield, K Avery, JM Blazeby… - Annals of surgical …, 2021 - Springer
Background Breast reconstruction (BR) is performed to improve outcomes for patients
undergoing mastectomy. A recently developed core outcome set for BR includes six patient …
undergoing mastectomy. A recently developed core outcome set for BR includes six patient …