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International audience; Background and purpose: Little is known about the long-term association between transient ischaemic attack (TIA) and stroke. Therefore, the goal of this study was to analyze the long-term risk of stroke and associated predictors in a large cohort of TIA patients followed in general practices in Germany. Methods: This study included patients with an initial TIA diagnosis and subsequently followed up in one of 1262 general practices in Germany between January 2007 and December 2016 (N = 19 824 patients). The primary outcome of the study was the risk of ischaemic stroke within 10 years of the initial diagnosis of TIA. The secondary outcome was the identification of demographic, clinical and pharmaceutical variables significantly associated with stroke in TIA patients. Results: Within 10 years of the initial TIA diagnosis, 18.3% of individuals were diagnosed with stroke. Age was positively associated with stroke, with hazard ratios ranging from 1.88 in patients aged 51–60 years to 4.00 in those aged >80 years (reference group: patients aged ≤50 years). Furthermore, male sex, hypertension, diabetes mellitus, atrial fibrillation and ischaemic heart diseases had an additional impact on the risk of stroke. Finally, new oral anticoagulants, heparins, diuretics, angiotensin II receptor blockers and platelet aggregation inhibitors were identified as protective factors. Conclusions: In a cohort of almost 20 000 TIA patients, 18.3% were diagnosed with stroke within 10 years after the TIA index event. Several demographic, clinical and pharmaceutical variables significantly predicted the long-term risk of stroke in TIA patients.

Visual Abstract, Binaural beating is a perceptual auditory illusion occurring when presenting two neighboring frequencies to each ear separately. Several controversial claims have been attributed to binaural beats regarding their ability to entrain human brain activity and mood, in both the scientific literature and the marketing realm. Here, we sought to address those questions in a robust fashion using a single-blind, active-controlled protocol. To do so, we compared the effects of binaural beats with a control beat stimulation (monaural beats, known to entrain brain activity but not mood) across four distinct levels in the human auditory pathway: subcortical and cortical entrainment, scalp-level functional connectivity and self-reports. Both stimuli elicited standard subcortical responses at the pure tone frequencies of the stimulus [i.e., frequency following response (FFR)], and entrained the cortex at the beat frequency [i.e., auditory steady state response (ASSR)]. Furthermore, functional connectivity patterns were modulated differentially by both kinds of stimuli, with binaural beats being the only one eliciting cross-frequency activity. Despite this, we did not find any mood modulation related to our experimental manipulation. Our results provide evidence that binaural beats elicit cross frequency connectivity patterns, but weakly entrain the cortex when compared with monaural beat stimuli. Whether binaural beats have an impact on cognitive performance or other mood measurements remains to be seen and can be further investigated within the proposed methodological framework.

This paper addresses the structurally constrained sparse decomposition of multi-dimensional signals onto overcomplete families of vectors, called dictionaries. The contribution of the paper is threefold. Firstly, a generic spatio-temporal regularization term is designed and used together with the standard ź 1 regularization term to enforce a sparse decomposition preserving the spatio-temporal structure of the signal. Secondly, an optimization algorithm based on the split Bregman approach is proposed to handle the associated optimization problem, and its convergence is analyzed. Our well-founded approach yields same accuracy as the other algorithms at the state of the art, with significant gains in terms of convergence speed. Thirdly, the empirical validation of the approach on artificial and real-world problems demonstrates the generality and effectiveness of the method. On artificial problems, the proposed regularization subsumes the Total Variation minimization and recovers the expected decomposition. On the real-world problem of electro-encephalography brainwave decomposition, the approach outperforms similar approaches in terms of P300 evoked potentials detection, using structured spatial priors to guide the decomposition. HighlightsA sparse structured decomposition method is proposed for multi-dimensional signals.Knowledge priors are encoded in a regularization to obtain plausible representations.The proposed split-Bregman based method outperforms counterparts in terms of speed.The approach is applied to EEG denoising for the extraction of P300 potentials.

International audience; This study investigates grammatical development in French children with prelingual deafness after two to four years of cochlear implant (CI) use. We analyze to what extent lexical, prosodic and environmental factors play a role in the acquisition of grammar. Transcriptions of spontaneous language in thirty-four CI users (17 boys, 17 girls) were analyzed and compared to those of typically developing children (TD) matched on robust auditory experience in similar standardized situations. The interactions between language components (i.e., lexicon, prosody and grammar) were found to be similar to the interaction observed in typical children. The rate of grammatical development was significantly slow and strongly associated with environmental factors (e.g., socio-cultural level of the family). This suggests that late acquisition has no major consequences on the developmental patterns but that environmental factors play an important role in smoothing the path to adult language. Such results are compatible with a socio-cognitive view of language development, according to which language acquisition is a gradual process reflecting interactions between maturation and social experience.

International audience; Many different environmental factors (nutrients, pollutants, chemicals, physical activity, lifestyle, physical and mental stress) can modulate epigenetic markers in the developing and adult organism. Epigenetics, in turn, can cause and is associated with several neurodegenerative and aging-dependent human diseases. Alzheimer's disease certainly represents one of the most relevant neurodegenerative disorders due to its incidence and its huge socio-economic impact. Therefore, it is easy to understand why recent literature focuses on the epigenetic modifications associated with Alzheimer's disease and other neurodegenerative disorders. One of the most intriguing and, at the same time, worrying evidence is that even "mild" environmental factors (such as behavioral or physical stress) as well as the under-threshold exposure to pollutants and chemicals, can be effective. Finally, even mild nutrients disequilibria can result in long-lasting and functional alterations of many epigenetic markers, although they don't have an immediate acute effect. Therefore, we will probably have to re-define the current risk threshold for many factors, molecules and stresses. Among the many different environmental factors affecting the epigenome, nutrition represents one of the most investigated fields; the reasons are probably that each person interacts with nutrients and that, in turn, nutrients can modulate at molecular level the epigenetic biochemical pathways. The role that nutrition can exert in modulating epigenetic modifications in Alzheimer's disease will be discussed with particular emphasis on the role of B vitamins and DNA methylation.