scholarly journals Retraction Note to: Stability of neuronal avalanches and long-range temporal correlations during the first year of life in human infant

2020 ◽  
Vol 225 (3) ◽  
pp. 1167-1167
Author(s):  
Mostafa Jannesari ◽  
Alireza Saeedi ◽  
Marzieh Zare ◽  
Silvia Ortiz-Mantilla ◽  
Dietmar Plenz ◽  
...  
Keyword(s):  
Long Range ◽  
Human Infant ◽  
First Year ◽  
Temporal Correlations ◽  
First Year Of Life ◽  
Neuronal Avalanches

scholarly journals RETRACTED ARTICLE: Stability of neuronal avalanches and long-range temporal correlations during the first year of life in human infant

2019 ◽  
Vol 224 (7) ◽  
pp. 2453-2465 ◽  
Author(s):  
Mostafa Jannesari ◽  
Alireza Saeedi ◽  
Marzieh Zare ◽  
Silvia Ortiz-Mantilla ◽  
Dietmar Plenz ◽  
...  
Keyword(s):  
Long Range ◽  
Human Infant ◽  
First Year ◽  
Temporal Correlations ◽  
Retracted Article ◽  
First Year Of Life ◽  
Neuronal Avalanches

scholarly journals Stability of neuronal avalanches and long-range temporal correlations during the first year of life in human infants

2020 ◽  
Vol 225 (3) ◽  
pp. 1169-1183 ◽  
Author(s):  
Mostafa Jannesari ◽  
Alireza Saeedi ◽  
Marzieh Zare ◽  
Silvia Ortiz-Mantilla ◽  
Dietmar Plenz ◽  
...  
Keyword(s):  
Long Range ◽  
First Year ◽  
Human Infants ◽  
Temporal Correlations ◽  
First Year Of Life ◽  
Neuronal Avalanches

scholarly journals Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: continuously varying exponents mimic M/EEG results

2018 ◽  
Author(s):  
Leonardo Dalla Porta ◽  
Mauro Copelli
Keyword(s):  
Long Range ◽  
Mean Field ◽  
Universality Class ◽  
Network Activity ◽  
Fluctuation Analysis ◽  
Scale Invariant ◽  
Temporal Correlations ◽  
Narrow Region ◽  
Collective Oscillations ◽  
Neuronal Avalanches

AbstractWe revisit the CROS (“CRitical OScillations”) model which was recently proposed as an attempt to reproduce both scale-invariant neuronal avalanches and long-range time correlations. With excitatory and inhibitory stochastic neurons locally connected in a two-dimensional disordered network, the model exhibits a transition from an active to an oscillating state. Precisely at the transition, the fluctuations of the network activity have detrended fluctuation analysis (DFA) exponents close to one, and avalanches (defined as supra-threshold activity) have power law distributions of size and duration. By simulating larger system sizes, we show that, differently from previous results, the exponents governing the distributions of avalanche size and duration are not necessarily those of the mean-field directed percolation universality class (3/2 and 2, respectively). Instead, exponents obtained via a maximum-likelihood estimator vary continuously in a narrow region of parameter space. Around that critical region, moreover, the values of avalanche and DFA exponents display a spread with negative correlations, in qualitative agreement with the interindividual variability that was experimentally observed in M/EEG data.

scholarly journals Long-range Temporal Correlations in the Broadband Resting state Activity of the Human Brain revealed by Neuronal Avalanches

2020 ◽  
Author(s):  
Fabrizio Lombardi ◽  
Oren Shriki ◽  
Hans J. Herrmann ◽  
Lucilla de Arcangelis
Keyword(s):  
Long Range ◽  
Power Law ◽  
Resting State ◽  
Brain Activity ◽  
Neural Systems ◽  
Scaling Exponents ◽  
Long Range Correlations ◽  
Temporal Correlations ◽  
Neuronal Avalanches ◽  
The Brain

AbstractResting-state brain activity is characterized by the presence of neuronal avalanches showing absence of characteristic size. Such evidence has been interpreted in the context of criticality and associated with the normal functioning of the brain. At criticality, a crucial role is played by long-range power-law correlations. Thus, to verify the hypothesis that the brain operates close to a critical point and consequently assess deviations from criticality for diagnostic purposes, it is of primary importance to robustly and reliably characterize correlations in resting-state brain activity. Recent works focused on the analysis of narrow band electroencephalography (EEG) and magnetoencephalography (MEG) signal amplitude envelope, showing evidence of long-range temporal correlations (LRTC) in neural oscillations. However, this approach is not suitable for assessing long-range correlations in broadband resting-state cortical signals. To overcome such limitation, here we propose to characterize the correlations in the broadband brain activity through the lens of neuronal avalanches. To this end, we consider resting-state EEG and long-term MEG recordings, extract the corresponding neuronal avalanche sequences, and study their temporal correlations. We demonstrate that the broadband resting-state brain activity consistently exhibits long-range power-law correlations in both EEG and MEG recordings, with similar values of the scaling exponents. Importantly, although we observe that avalanche size distribution depends on scale parameters, scaling exponents characterizing long-range correlations are quite robust. In particular, they are independent of the temporal binning (scale of analysis), indicating that our analysis captures intrinsic characteristics of the underlying dynamics. Because neuronal avalanches constitute a fundamental feature of neural systems with universal characteristics, the proposed approach may serve as a general, systems- and experiment-independent procedure to infer the existence of underlying long-range correlations in extended neural systems, and identify pathological behaviors in the complex spatio-temporal interplay of cortical rhythms.

The Development of Swallowing Respiratory Coordination

2009 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Maggie-Lee Huckabee
Keyword(s):  
Cortical Activation ◽  
First Year ◽  
Healthy Children ◽  
Nasal Airflow ◽  
Single Session ◽  
Primary Finding ◽  
Patterns Of Behavior ◽  
Cortical Modulation ◽  
First Year Of Life ◽  
Swallowing Apnea

Abstract Research exists that evaluates the mechanics of swallowing respiratory coordination in healthy children and adults as well and individuals with swallowing impairment. The research program summarized in this article represents a systematic examination of swallowing respiratory coordination across the lifespan as a means of behaviorally investigating mechanisms of cortical modulation. Using time-locked recordings of submental surface electromyography, nasal airflow, and thyroid acoustics, three conditions of swallowing were evaluated in 20 adults in a single session and 10 infants in 10 sessions across the first year of life. The three swallowing conditions were selected to represent a continuum of volitional through nonvolitional swallowing control on the basis of a decreasing level of cortical activation. Our primary finding is that, across the lifespan, brainstem control strongly dictates the duration of swallowing apnea and is heavily involved in organizing the integration of swallowing and respiration, even in very early infancy. However, there is evidence that cortical modulation increases across the first 12 months of life to approximate more adult-like patterns of behavior. This modulation influences primarily conditions of volitional swallowing; sleep and naïve swallows appear to not be easily adapted by cortical regulation. Thus, it is attention, not arousal that engages cortical mechanisms.

Gastric electrical activity in normal neonates during the first year of life. Effect of lactation with breast milk and formula

2001 ◽  
Vol 120 (5) ◽  
pp. A209-A209
Author(s):  
G RIEZZO ◽  
R CASTELLANA ◽  
T DEBELLIS ◽  
F LAFORGIA ◽  
F INDRIO ◽  
...  
Keyword(s):  
Breast Milk ◽  
Electrical Activity ◽  
First Year ◽  
Gastric Electrical Activity ◽  
First Year Of Life ◽  
Normal Neonates

Feeding and Function Pleasure in the First Year of Life

2013 ◽  
Author(s):  
Sylvia Brody ◽  
Sidney Axelrad
Keyword(s):  
First Year ◽  
And Function ◽  
First Year Of Life
Sign in / Sign up

Export Citation Format

Share Document