What neural oscillations can and cannot do for syntactic structure building.

Understanding what someone says requires relating words in a sentence to one another as instructed by the grammatical rules of a language. In recent years, the neurophysiological basis for this process has become a prominent topic of discussion in cognitive neuroscience. Current proposals about the neural mechanisms of syntactic structure building converge on a key role for neural oscillations in this process, but they differ in terms of the exact function that is assigned to them. In this Perspective, we discuss two proposed functions for neural oscillations - chunking and multiscale information integration - and evaluate their merits and limitations taking into account a fundamentally hierarchical nature of syntactic representations in natural languages. We highlight insights that provide a tangible starting point for a neurocognitive model of syntactic structure building.

From pre-processing to advanced dynamic modeling of pupil data.

The pupil of the eye provides a rich source of information for cognitive scientists, as it can index a variety of bodily states (e.g., arousal, fatigue) and cognitive processes (e.g., attention, decision-making). As pupillometry becomes a more accessible and popular methodology, researchers have proposed a variety of techniques for analyzing pupil data. Here, we focus on time series-based, signal-to-signal approaches that enable one to relate dynamic changes in pupil size over time with dynamic changes in a stimulus time series, continuous behavioral outcome measures, or other participants' pupil traces. We first introduce pupillometry, its neural underpinnings, and the relation between pupil measurements and other oculomotor behaviors (e.g., blinks, saccades), to stress the importance of understanding what is being measured and what can be inferred from changes in pupillary activity. Next, we discuss possible pre-processing steps, and the contexts in which they may be necessary. Finally, we turn to signal-to-signal analytic techniques, including regression-based approaches, dynamic time-warping, phase clustering, detrended fluctuation analysis, and recurrence quantification analysis. Assumptions of these techniques, and examples of the scientific questions each can address, are outlined, with references to key papers and software packages. Additionally, we provide a detailed code tutorial that steps through the key examples and figures in this paper. Ultimately, we contend that the insights gained from pupillometry are constrained by the analysis techniques used, and that signal-to-signal approaches offer a means to generate novel scientific insights by taking into account understudied spectro-temporal relationships between the pupil signal and other signals of interest.

Neural entrainment via perceptual inferences.

Entrainment depends on sequential neural phase reset by regular stimulus onset, a temporal parameter. Entraining to sequences of identical stimuli also entails stimulus feature predictability, but this component is not readily separable from temporal regularity. To test if spectral regularities concur with temporal regularities in determining the strength of auditory entrainment, we devised sound sequences that varied in conditional perceptual inferences based on deviant sound repetition probability: strong inference (100% repetition probability: If a deviant appears, then it will repeat), weak inference (75% repetition probability) and no inference (50%: A deviant may or may not repeat with equal probability). We recorded EEG data from 15 young human participants pre-attentively listening to the experimental sound sequences delivered either isochronously or anisochronously (±20% jitter), at both delta (1.67 Hz) and theta (6.67 Hz) stimulation rates. Strong perceptual inferences significantly enhanced entrainment at either stimulation rate and determined positive correlations between precision in phase distribution at the onset of deviant trials and entrained power. We conclude that both spectral predictability and temporal regularity govern entrainment via neural phase control.

The impact of orthostatic intolerance on early ambulation following abdominal surgery in an enhanced recovery programme.

BACKGROUND: The prevalence of orthostatic intolerance on the day of surgery is more than 50% after abdominal surgery. The impact of orthostatic intolerance on ambulation on the day of surgery has been little studied. We investigated orthostatic intolerance and walking ability after colorectal and bariatric surgery in an enhanced recovery programme. METHODS: Eighty-two patients (colorectal: n = 46, bariatric n = 36) were included and analysed in this prospective study. Walk tests for 2 min (2-MWT) and 6 min (6-MWT) were performed before and 24 h after surgery, and 3 h after surgery for 2-MWT. Orthostatic intolerance characterised by presyncopal symptoms when rising was recorded at the same time points. Multivariate binary logistic regressions modelling the probability of orthostatic intolerance and walking inability were performed taking into account potential risk factors. RESULTS: Prevalence of orthostatic intolerance and walking inability was, respectively, 65% and 18% 3-hour after surgery. The day after surgery, patients' performance had greatly improved: approximately 20% of the patients experienced orthostatic intolerance, whilst only 5% of the patients were unable to walk. Adjusted binary logistic regressions demonstrated that age (p = .37), sex (p = .39), BMI (p = .74), duration of anaesthesia (p = .71) and type of surgery (p = .71) did not significantly influence walking ability. CONCLUSION: Our study confirms that orthostatic intolerance was frequent (~ 60%) 3-hour after abdominal surgery but prevented a 2-MWT only in ~20% of patients. No risk factors for orthostatic intolerance and walking inability were evidenced.

A division of labor between power and phase coherence in encoding attention to stimulus streams.

Both time-based (when) and feature-based (what) aspects of attention facilitate behavior, so it is natural to hypothesize additive effects. We tested this conjecture by recording response behavior and electroencephalographic (EEG) data to auditory pitch changes, embedded at different time lags in a continuous sound stream. Participants reacted more rapidly to larger rather than smaller feature change magnitudes (deviancy), as well as to changes appearing after longer rather than shorter waiting times (hazard rate of response times). However, the feature and time dimensions of attention separately contributed to response speed, with no significant interaction. Notably, phase coherence at low frequencies (delta and theta bands, 1-7 Hz) predominantly reflected attention capture by feature changes, while oscillatory power at higher frequency bands, alpha (8-12 Hz) and beta (13-25 Hz) reflected the orienting of attention in time. Power and phase coherence predicted different portions of response speed variance, suggesting a division of labor in encoding sensory attention in complex auditory scenes.

Prosody abilities in a large sample of affective and non-affective first episode psychosis patients.

OBJECTIVE: Prosody comprehension deficits have been reported in major psychoses. It is still not clear whether these deficits occur at early psychosis stages. The aims of our study were to investigate a) linguistic and emotional prosody comprehension abilities in First Episode Psychosis (FEP) patients compared to healthy controls (HC); b) performance differences between non-affective (FEP-NA) and affective (FEP-A) patients, and c) association between symptoms severity and prosodic features. METHODS: A total of 208 FEP (156 FEP-NA and 52 FEP-A) patients and 77 HC were enrolled and assessed with the Italian version of the "Protocole Montréal d'Evaluation de la Communication" to evaluate linguistic and emotional prosody comprehension. Clinical variables were assessed with a comprehensive set of standardized measures. RESULTS: FEP patients displayed significant linguistic and emotional prosody deficits compared to HC, with FEP-NA showing greater impairment than FEP-A. Also, significant correlations between symptom severity and prosodic features in FEP patients were found. CONCLUSIONS: Our results suggest that prosodic impairments occur at the onset of psychosis being more prominent in FEP-NA and in those with severe psychopathology. These findings further support the hypothesis that aprosodia is a core feature of psychosis.

Temporal regularity facilitates higher-order sensory predictions in fast auditory sequences.

Does temporal regularity facilitate prediction in audition? To test this, we recorded human event-related potentials to frequent standard tones and infrequent pitch deviant tones, pre-attentively delivered within isochronous and anisochronous (20% onset jitter) rapid sequences. Deviant tones were repeated, either with high or low probability. Standard tone repetition sets a first-order prediction, which is violated by deviant tone onset, leading to a first-order prediction error response (Mismatch Negativity). The response to highly probable deviant repetitions is, however, attenuated relative to less probable repetitions, reflecting the formation of higher-order sensory predictions. Results show that temporal regularity is required for higher-order predictions, but does not modulate first-order prediction error responses. Inverse solution analyses (Variable Resolution Electrical Tomography; VARETA) localized the error response attenuation to posterior regions of the left superior temporal gyrus. In a control experiment with a slower stimulus rate, we found no evidence for higher-order predictions, and again no effect of temporal information on first-order prediction error. We conclude that: (i) temporal regularity facilitates the establishing of higher-order sensory predictions, i.e. 'knowing what next', in fast auditory sequences; (ii) first-order prediction error relies predominantly on stimulus feature mismatch, reflecting the adaptive fit of fast deviance detection processes.

Cognitive recovery after severe traumatic brain injury in children/adolescents and adults: similar positive outcome but different underlying pathways?

PRIMARY OBJECTIVE: Does younger age at the time of severe traumatic brain injury (STBI) protect from cognitive symptoms? To answer this question, the authors compared the neuropsychological profile of late school-age children/adolescents and young adult patients at mid- and long-term recovery periods (6 and 12 months post-STBI). METHODS AND PROCEDURES: Twenty-eight children/adolescents and 26 clinically matched adults were tested on measures of general intelligence, attention, executive functions, visuoperceptual, visuospatial and visuoconstructive abilities. Coma duration and the post-acute Glasgow Outcome Scale (GOS) score were used as predictor variables in a series of regression analyses. MAIN OUTCOMES AND RESULTS: Children/adolescents and adults similarly improved on most measures, except for visuospatial and visuoconstructive skills, which worsened in time for children/adolescents. Coma duration significantly predicted performance IQ and visuoperceptual scores in children/adolescents. The GOS score significantly predicted performance and verbal IQ, sustained attention, visuoconstructive and long-term memory skills. Coma duration predicted executive function skills in both age groups. CONCLUSIONS: (1) No evidence was found for a neuroprotective effect of younger age at STBI; and (2) Coma duration and GOS score predicted neuropsychological recovery in children/adolescents and adults, respectively. This suggests the existence of underlying age-specific recovery processes after STBI.

Cognitive and adaptive functioning after severe TBI in school-aged children.

OBJECTIVE: Persistent cognitive and behavioural deficits have been documented in children suffering severe TBI. The aim of the present study was to examine the cognitive and adaptive profile of children of school age with severe TBI. METHODS: This study selected 118 patients and divided them into three groups according to the severity of their clinical-functional picture. All the patients received a functional assessment using the Wee-FIM. Subjects with reduced responsiveness were evaluated by LOCFAS. Last, the cognitive profile children with a better recovery were described with WISC-III and Leiter-R and their adaptive behaviour with VABS. RESULTS: Group 1 (n = 77) showed a borderline cognitive level with a disharmonious profile between VIQ and PIQ, significant deficits in the Processing Speed and Perceptual Organization Indices, lastly specific adaptive behavioural deficits. Length of coma correlated with their cognitive and adaptive profile. Group 2 (n = 14) included subjects with severe language and/or motor disabilities presenting with a partial cognitive functioning level moderately impaired. Group 3 (n = 27) included patients with reduced responsiveness (LOCFAS ≤ 3). CONCLUSIONS: In the first 12 months following severe TBI, 22.9% children stayed in minimal responsiveness, 11.9% showed debilitating language and motor deficits and 65.2% showed a more favourable cognitive recovery and could be assessed by WISC-III.

A scalable and robust system for audience EEG recordings.

The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly large portion of such an audience simultaneously. Although the technology for such a system has been readily available for a long time, the high cost as well as the large overhead in human resources and logistic planning have prohibited the development of such a system. However, during the recent years reduction in technology costs and size have led to the emergence of low-cost, consumer-oriented EEG systems, developed primarily for recreational use. Here by combining such a low-cost EEG system with other off-the-shelve hardware and tailor-made software, we develop in the lab and test in a cinema such a scalable EEG hyper-scanning system. The system has a robust and stable performance and achieves accurate unambiguous alignment of the recorded data of the different EEG headsets. These characteristics combined with small preparation time and low-cost make it an ideal candidate for recording large portions of audiences.

Overt Oculomotor Behavior Reveals Covert Temporal Predictions.

Our eyes move in response to stimulus statistics, reacting to surprising events, and adapting to predictable ones. Cortical and subcortical pathways contribute to generating context-specific eye-movement dynamics, and oculomotor dysfunction is recognized as one the early clinical markers of Parkinson's disease (PD). We asked if covert computations of environmental statistics generating temporal expectations for a potential target are registered by eye movements, and if so, assuming that temporal expectations rely on motor system efficiency, whether they are impaired in PD. We used a repeating tone sequence, which generates a hazard rate distribution of target probability, and analyzed the distribution of blinks when participants were waiting for the target, but the target did not appear. Results show that, although PD participants tend to produce fewer and less temporally organized blink events relative to healthy controls, in both groups blinks became more suppressed with increasing target probability, leading to a hazard rate of oculomotor inhibition effects. The covert generation of temporal predictions may reflect a key feature of cognitive resilience in Parkinson's Disease.

Two attentive strategies reducing subjective distortions in serial duration perception.

Humans tend to perceptually distort (dilate/shrink) the duration of brief stimuli presented in a sequence when discriminating the duration of a second stimulus (Comparison) from the duration of a first stimulus (Standard). This type of distortion, termed "Time order error" (TOE), is an important window into the determinants of subjective perception. We hypothesized that stimulus durations would be optimally processed, suppressing subjective distortions in serial perception, if the events to be compared fell within the boundaries of rhythmic attentive sampling (4-8 Hz, theta band). We used a two-interval forced choice (2IFC) experimental design, and in three separate experiments tested different Standard durations: 120-ms, corresponding to an 8.33 Hz rhythmic attentive window; 160 ms, corresponding to a 6.25 Hz window; and 200 ms, for a 5 Hz window. We found that TOE, as measured by the Constant Error metric, is sizeable for a 120-ms Standard, is reduced for a 160-ms Standard, and statistically disappears for 200-ms Standard events, confirming our hypothesis. For 120- and 160-ms Standard events, to reduce TOEs it was necessary to increase the interval between the Standard and the Comparison event from sub-second (400, 800 ms) to supra-second (1600, 2000 ms) lags, suggesting that the orienting of attention in time waiting for the Comparison event to onset may work as a back-up strategy to optimize its encoding. Our results highlight the flexible use of two different attentive strategies to optimize subjective time perception.

A perceptual glitch in serial perception generates temporal distortions.

Precisely estimating event timing is essential for survival, yet temporal distortions are ubiquitous in our daily sensory experience. Here, we tested whether the relative position, duration, and distance in time of two sequentially-organized events-standard S, with constant duration, and comparison C, with duration varying trial-by-trial-are causal factors in generating temporal distortions. We found that temporal distortions emerge when the first event is shorter than the second event. Importantly, a significant interaction suggests that a longer inter-stimulus interval (ISI) helps to counteract such serial distortion effect only when the constant S is in the first position, but not if the unpredictable C is in the first position. These results imply the existence of a perceptual bias in perceiving ordered event durations, mechanistically contributing to distortion in time perception. We simulated our behavioral results with a Bayesian model and replicated the finding that participants disproportionately expand first-position dynamic (unpredictable) short events. Our results clarify the mechanisms generating time distortions by identifying a hitherto unknown duration-dependent encoding inefficiency in human serial temporal perception, something akin to a strong prior that can be overridden for highly predictable sensory events but unfolds for unpredictable ones.

Eye movements during text reading align with the rate of speech production.

Across languages, the speech signal is characterized by a predominant modulation of the amplitude spectrum between about 4.3 and 5.5 Hz, reflecting the production and processing of linguistic information chunks (syllables and words) every ~200 ms. Interestingly, ~200 ms is also the typical duration of eye fixations during reading. Prompted by this observation, we demonstrate that German readers sample written text at ~5 Hz. A subsequent meta-analysis of 142 studies from 14 languages replicates this result and shows that sampling frequencies vary across languages between 3.9 Hz and 5.2 Hz. This variation systematically depends on the complexity of the writing systems (character-based versus alphabetic systems and orthographic transparency). Finally, we empirically demonstrate a positive correlation between speech spectrum and eye movement sampling in low-skilled non-native readers, with tentative evidence from post hoc analysis suggesting the same relationship in low-skilled native readers. On the basis of this convergent evidence, we propose that during reading, our brain's linguistic processing systems imprint a preferred processing rate-that is, the rate of spoken language production and perception-onto the oculomotor system.

Primary progressive aphasia in a bilingual speaker: a single-case study.

We report on the case of an elderly bilingual woman presenting with a diagnosis of primary progressive aphasia. The participant's native language was Friulian (L1), a predominantly oral Romance language, and her second language was Italian (L2), formally learned at primary school in oral and written forms. We investigated her linguistic abilities by means of the Bilingual Aphasia Test ( Paradis, M., & Libben, G. (1987). The assessment of bilingual aphasia. Hillsdale, NJ: Lawrence Erlbaum Associates), which is specifically devised for studying language levels and skills in bilingual/polyglot individuals with aphasia. Specifically, we focused on different tasks extracted from the Bilingual Aphasia Test, targeting phonology, morphology, syntax and lexical semantics. Results show that both languages were affected to a clinically significant degree, but with different profiles in terms of linguistic levels, suggesting the presence of greater phonological, morphological, grammatical and syntactic impairments in L2. Results are discussed in terms of possible dissociations both within the language system of each language and between languages, within the Procedural/Declarative theoretical framework of language acquisition in bilinguals.

Language and cognition in a bilingual child after traumatic brain injury in infancy: long-term plasticity and vulnerability.

PRIMARY OBJECTIVE: This study aimed at investigating the long-term effects of the combination of severity of injury and time of injury in a 6-year-old bilingual Arabic-Italian child who sustained a severe left traumatic brain injury at the age of 7 months. METHODS AND PROCEDURES: Standard neurological, cognitive and neuropsychological assessments were administered at 40 days after surgery and again at 18, 31, 62 and 73 months. MAIN OUTCOMES AND RESULTS: The child presented with developmental arrest at 18 and 31 months. Later on, right hemiparetic and oculomotor signs gradually improved to a significant extent, as well as dysexecutive, visuospatial and praxic deficits. At present, persistent language disorders in a fluent speech characterize the child's profile to a similar extent and type in both languages, suggesting common underlying learning strategies which are ineffective for procedurally acquiring language. CONCLUSIONS: This case confirms that children who sustain severe left hemisphere traumatic brain injury in infancy present with increased vulnerability to linguistic deficits. Left frontotemporal, cortical-subcortical lesions which occur during very early language development may permanently disrupt the procedural language acquisition network required for first language acquisition.

Beta power encodes contextual estimates of temporal event probability in the human brain.

To prepare for an impending event of unknown temporal distribution, humans internally increase the perceived probability of event onset as time elapses. This effect is termed the hazard rate of events. We tested how the neural encoding of hazard rate changes by providing human participants with prior information on temporal event probability. We recorded behavioral and electroencephalographic (EEG) data while participants listened to continuously repeating five-tone sequences, composed of four standard tones followed by a non-target deviant tone, delivered at slow (1.6 Hz) or fast (4 Hz) rates. The task was to detect a rare target tone, which equiprobably appeared at either position two, three or four of the repeating sequence. In this design, potential target position acts as a proxy for elapsed time. For participants uninformed about the target's distribution, elapsed time to uncertain target onset increased response speed, displaying a significant hazard rate effect at both slow and fast stimulus rates. However, only in fast sequences did prior information about the target's temporal distribution interact with elapsed time, suppressing the hazard rate. Importantly, in the fast, uninformed condition pre-stimulus power synchronization in the beta band (Beta 1, 15-19 Hz) predicted the hazard rate of response times. Prior information suppressed pre-stimulus power synchronization in the same band, while still significantly predicting response times. We conclude that Beta 1 power does not simply encode the hazard rate, but-more generally-internal estimates of temporal event probability based upon contextual information.