Functional connectivity (FC) sheds light on the interactions between different brain regions. Besides basic research, it is clinically relevant for applications in Alzheimer's disease, schizophrenia, presurgical planning, epilepsy, and traumatic injury. Simulations of whole-brain mean-field computational models with realistic determined by tractography studies enable us to reproduce accuracy aspects average FC resting state. Most studies, however, did not address prominent non-stationarity...

Peer review is the cornerstone of scholarly publishing and it essential that peer reviewers are appointed on basis their expertise alone. However, difficult to check for any bias in peer-review process because identity generally remains confidential. Here, using public information about identities 9000 editors 43000 from Frontiers series journals, we show women underrepresented process, both genders operate with substantial same-gender preference (homophily), mechanisms this homophily...

A systematic assessment of global neural network connectivity through direct electrophysiological assays has remained technically unfeasible even in dissociated neuronal cultures. We introduce an improved algorithmic approach based on Transfer Entropy to reconstruct approximations structural connectivities from activity monitored calcium fluorescence imaging. Based information theory, our method requires no prior assumptions the statistics firing and connections. The performance algorithm is...

Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate dynamically route is not well understood. Here we identify a generic mechanism to on top collective dynamical reference states in complex Switching between dynamics induces flexible reorganization sharing patterns, as quantified by delayed mutual transfer entropy measures activities network's units. We demonstrate power this for...

Neuropeptide Y (NPY) is an abundant neuropeptide of the neocortex involved in numerous physiological and pathological processes. Because large electrophysiological, molecular, morphological diversity NPY-expressing neurons their precise identity remains unclear. To define distinct populations NPY we characterized, acute slices rat barrel cortex, 200 cortical layers I-IV by means whole-cell patch-clamp recordings, biocytin labeling, single-cell reverse transcriptase-PCR designed to probe for...

Anatomic connections between brain areas affect information flow neuronal circuits and the synchronization of activity. However, such structural connectivity does not coincide with effective (or, more precisely, causal connectivity), related to elusive question "Which cause present activity which others?". Effective is directed depends flexibly on contexts tasks. Here we show that dynamic can emerge from transitions in collective organization coherent neural Integrating simulation...

Functional Connectivity (FC) during resting-state or task conditions is not static but inherently dynamic. Yet, there no consensus on whether fluctuations in FC may resemble isolated transitions between discrete states rather than continuous changes. This quarrel hampers advancing the study of dynamic FC. unfortunate as structure can certainly provide more information about developmental changes, aging, and progression pathologies. We merge two perspectives consider an ongoing network...

Abstract The hippocampus and entorhinal cortex exhibit rich oscillatory patterns critical for cognitive functions. In the hippocampal region CA1, specific gamma-frequency oscillations, timed at different phases of ongoing theta rhythm, are hypothesized to facilitate integration information from varied sources contribute distinct processes. Here, we show that gamma elements -a multidimensional characterization transient episodes- occur any frequency or phase relative rhythm across all CA1...

Neuronal dynamics are fundamentally constrained by the underlying structural network architecture, yet much of details this synaptic connectivity still unknown even in neuronal cultures vitro. Here we extend a previous approach based on information theory, Generalized Transfer Entropy, to reconstruction simulated networks both excitatory and inhibitory neurons. We show that, due model-free nature developed measure, kinds connections can be reliably inferred if average firing rate between...

To understand the proximate and ultimate causes that shape acoustic communication in animals, objective characterizations of vocal repertoire a given species are critical, as they provide foundation for comparative analyses among individuals, populations taxa. Progress this field has been hampered by lack standard methodology, however. One problem is researchers may settle on different variables to characterize calls, which impact classification calls. More important, there no agreement how...

The Path Integral Monte Carlo simulated Quantum Annealing algorithm is applied to the optimization of a large hard instance Random 3-SAT Problem (N=10000). dynamical behavior quantum and classical annealing are compared, showing important qualitative differences in way exploring complex energy landscape combinatorial problem. At variance with results obtained for Ising spin glass Traveling Salesman Problem, present case linear-schedule performance definitely worse than Classical Annealing....

We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network local inhibition. When excitation is weak, these oscillations phase lock with a shift dependent on strength of Increasing induces transition to chaos via period doubling or quasiperiodic scenarios. In chaotic regime, oscillatory activity undergoes fast temporal decorrelation. The generality dynamical properties assessed firing-rate models...

Visually induced neuronal activity in V1 displays a marked gamma-band component which is modulated by stimulus properties. It has been argued that synchronized oscillations contribute to these [... however,] even when are observed, they undergo temporal decorrelation over very few cycles. This not easily accounted for previous network modeling of gamma oscillations. We argue here interactions between cortical layers can be responsible this fast decorrelation. study model hypercolumn,...

Cortical neurons and, particularly, inhibitory interneurons display a large diversity of morphological, synaptic, electrophysiological and molecular properties, as well diverse embryonic origins. Various authors have proposed alternative classification schemes that rely on the concomitant observation several multimodal features. However, broad variability is generally observed even among cells are grouped into same class. Furthermore, attribution specific to single defined class often...

Dynamic oscillatory coherence is believed to play a central role in flexible communication between brain circuits. To test this communication-through-coherence hypothesis, experimental protocols that allow reliable control of phase-relations neuronal populations are needed. In modeling study, we explore the potential closed-loop optogenetic stimulation for functional interactions mediated by coherence. The theory nonlinear oscillators predicts efficacy local will depend not only on intensity...

At the macroscale, brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation different areas impacts such activity is important for gaining basic insights into function and further developing therapeutic neurmodulation. However, complexity structure hinders predictions regarding downstream effects focal stimulation. More specifically, little known about collective...

Dynamic Functional Connectivity (dFC) in the resting state (rs) is considered as a correlate of cognitive processing. Describing dFC flow across morphing connectivity configurations, our notion speed quantifies rate at which FC networks evolve time. Here we probe hypothesis that variations rs and performance are selectively interrelated within specific functional subnetworks. In particular, focus on Sleep Deprivation (SD) reversible model dysfunction. We found whole-brain level (global)...

Large neuroimaging datasets, including information about structural connectivity (SC) and functional (FC), play an increasingly important role in clinical research, where they guide the design of algorithms for automated stratification, diagnosis or prediction. A major obstacle is, however, problem missing features [e.g., lack concurrent DTI SC resting-state magnetic resonance imaging (rsfMRI) FC measurements many subjects]. We propose here to address by introducing strategies based on...

Abstract We show that sensorimotor behavior can be reliably predicted from single-trial EEG oscillations fluctuating in a coordinated manner across brain regions, frequency bands and movement time epochs. define high-dimensional oscillatory portraits to capture the interdependence between basic elements, quantifying occurring single-trials at specific frequencies, locations find general structure of element-interdependence networks (effective connectivity) remains stable task conditions,...

Neural computation occurs within large neuron networks in the dynamic context of varying brain states. Whether functions are performed by specific subsets neurons and whether they occur dynamical regimes remain poorly understood. Using high-density recordings hippocampus, medial entorhinal, prefrontal cortex rat, we identify computing substates where hub perform well-defined storage sharing operations a state-dependent manner. We retrieve distinct each global state, such as REM nonREM sleep....

Neural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in context varying oscillatory states. Here, we describe complex spatiotemporal dynamics through temporal network formalism. We use a sliding window approach to extract sequences networks information sharing among single units hippocampus entorhinal cortex during anesthesia study how global node-wise functional connectivity properties evolve time as function changing brain state (theta...

A critical challenge in current research on Alzheimer's disease (AD) is to clarify the relationship between network dysfunction and emergence of subtle memory deficits itspreclinical stage. The AppNL-F/MAPT double knock-in (dKI) model with humanized β-amyloid peptide (Aβ) tau was used investigate both dysfunctions at an early Young male dKI mice (2 6 months) were tested three tasks taxing different aspects recognition affected preclinical AD. An deficit first appeared object-place...

•We have developed a framework to describe the dynamics of Functional Connectivity (dFC) estimated from brain activity time-series as complex random walk in space possible functional networks. This conceptual and methodological considers dFC smooth reconfiguration process, combining "liquid" "coordinated" aspects. Unlike other previous approaches, our method does not require explicit extraction discrete connectivity states.•In work, we introduced several metrics for quantitative...