Disrupting morphosyntactic and lexical semantic processing has opposite effects on the sample entropy of neural signals

Fonseca, André; Boboeva, Vezha; Brederoo, Sanne; Baggio, Giosué

doi:10.1016/j.brainres.2015.01.030

Cited by 3 publications

(5 citation statements)

References 77 publications

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“…This procedure avoids oversampled trajectories and autocorrelated data effects (Kennel and Abarbanel, 2002 ). Using the GMH approach for the EEG signals from all subjects and sessions (more details and applications in Baggio and Fonseca, 2011 ; Fonseca et al, 2015 ), we obtained m = 4 and τ = 1, respectively the maximum embedding dimension and minimum time lag found (see section 3.4 in Supplementary Material for the reconstruction Matlab script).…”

Section: Methodsmentioning

confidence: 99%

Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data

Fonseca

Kerick

King

et al. 2018

Front. Hum. Neurosci.

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The analysis of neurophysiological changes during driving can clarify the mechanisms of fatigue, considered an important cause of vehicle accidents. The fluctuations in alertness can be investigated as changes in the brain network connections, reflected in the direction and magnitude of the information transferred. Those changes are induced not only by the time on task but also by the quality of sleep. In an unprecedented 5-month longitudinal study, daily sampling actigraphy and EEG data were collected during a sustained-attention driving task within a near-real-world environment. Using a performance index associated with the subjects' reaction times and a predictive score related to the sleep quality, we identify fatigue levels in drivers and investigate the shifts in their effective connectivity in different frequency bands, through the analysis of the dynamical coupling between brain areas. Study results support the hypothesis that combining EEG, behavioral and actigraphy data can reveal new features of the decline in alertness. In addition, the use of directed measures such as the Convergent Cross Mapping can contribute to the development of fatigue countermeasure devices.

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Section: Methodsmentioning

confidence: 99%

Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data

Fonseca

Kerick

King

et al. 2018

Front. Hum. Neurosci.

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“…The message that only six patients could walk reduced entropy to 1.60 from 2.00 in the disaster scenario of Case 3. Therefore, according to formula (4), Inf of the message in Case 3 was Inf = 2.00 − 1.60 = 0.40 bits.…”

Section: Case 3: One Triage Officer and A Message That Only Six Patiementioning

confidence: 99%

“…The amount of information for the newly given message in Cases 3 through 5 was calculated by formula (4).…”

Section: Amount Of Information-if H Decreases Frommentioning

confidence: 99%

“…In the clinical field, entropy from Information Theory is applied mainly for analysis of bioelectrical signals such as those in electrocardiography 3 or electroencephalography. 4 Here, a simulation study was performed using a simplified disaster model based on Shannon's Information Theory, with the intent of evaluating reduction of uncertainty of information in a triage setting. 1 Hypothesis A disaster triage scene with a specific number of injured patients represents a source of information about the severity of patients' incapacity.…”

Section: Introductionmentioning

confidence: 99%

“…The larger the entropy of an information source, the more difficult it is to predict symbols arising from the source. In the clinical field, entropy from Information Theory is applied mainly for analysis of bioelectrical signals such as those in electrocardiography 3 or electroencephalography 4 . Here, a simulation study was performed using a simplified disaster model based on Shannon’s Information Theory, with the intent of evaluating reduction of uncertainty of information in a triage setting 1 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Evaluation for Uncertainty of Information About Patients’ Injury Severity in a Hospital Disaster: A Simulation Study Using Shannon’s Information Theory

Ajimi

Masaru

Uchida

et al. 2015

Prehosp. Disaster med.

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Gamma Oscillations as a Neural Signature of Shifting Times in Narrative Language

et al. 2015

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Verbs and other temporal expressions allow speakers to specify the location of events in time, as well as to move back and forth in time, shifting in a narrative between past, present and future. The referential flexibility of temporal expressions is well understood in linguistics but its neurocognitive bases remain unknown. We aimed at obtaining a neural signature of shifting times in narrative language. We recorded and analyzed event-related brain potentials (ERPs) and oscillatory responses to the adverb ‘now’ and to the second main verb in Punctual (‘An hour ago the boy stole a candy and now he peeled the fruit’) and Iterative (‘The entire afternoon the boy stole candy and now he peeled the fruit’) contexts. ‘An hour ago’ introduces a time frame that lies entirely in the past, ‘now’ shifts the narrative to the present, and ‘peeled’ shifts it back to the past. These two referential shifts in Punctual contexts are expected to leave very similar traces on neural responses. In contrast, ‘The entire afternoon’ specifies a time frame that may encompass past, present and future, such that both ‘now’ and ‘peeled’ are consistent with it. Here, no time shift is required. We found no difference in ERPs between Punctual and Iterative contexts either at ‘now’ or at the second verb. However, reference shifts modulated oscillatory signals. ‘Now’ and the second verb in Punctual contexts resulted in similar responses: an increase in gamma power with a left-anterior distribution. Gamma bursts were absent in Iterative contexts. We propose that gamma oscillations here reflect the binding of temporal variables to the values allowed by constraints introduced by temporal expressions in discourse.

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Disrupting morphosyntactic and lexical semantic processing has opposite effects on the sample entropy of neural signals

Cited by 3 publications

References 77 publications

Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data

Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data

Quantitative Evaluation for Uncertainty of Information About Patients’ Injury Severity in a Hospital Disaster: A Simulation Study Using Shannon’s Information Theory

Gamma Oscillations as a Neural Signature of Shifting Times in Narrative Language

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