scholarly journals The oscillatory mechanisms associated with syntactic binding in healthy ageing

2020 ◽  
Vol 146 ◽  
pp. 107523
Author(s):  
Charlotte Poulisse ◽  
Linda Wheeldon ◽  
Rupali Limachya ◽  
Ali Mazaheri ◽  
Katrien Segaert
Keyword(s):  
Healthy Ageing ◽  
Oscillatory Mechanisms ◽  
Syntactic Binding

scholarly journals Binding language: Structuring sentences through precisely timed oscillatory mechanisms

2017 ◽  
Author(s):  
Katrien Segaert ◽  
Ali Mazaheri ◽  
Peter Hagoort
Keyword(s):  
Target Word ◽  
Cognitive Processes ◽  
Alpha Power ◽  
Frequency Bands ◽  
Beta Power ◽  
Neural Processes ◽  
Data Driven Approach ◽  
Oscillatory Mechanisms ◽  
Beta Frequency ◽  
Syntactic Binding

AbstractSyntactic binding refers to combining words into larger structures. Using EEG, we investigated the neural processes involved in syntactic binding. Participants were auditorily presented two-word sentences (i.e. a pronoun and pseudoverb such as ‘she dotches’, for which syntactic binding can take place) and wordlists (i.e. two pseudoverbs such as ‘pob dotches’, for which no binding can occur). Comparing these two conditions, we targeted syntactic binding while minimizing contributions of semantic binding and of other cognitive processes such as working memory. We found a converging pattern of results using two distinct analysis approaches: one approach using frequency bands as defined in previous literature, and one data-driven approach in which we looked at the entire range of frequencies between 3-30 Hz without the constraints of pre-defined frequency bands. In the syntactic binding (relative to the wordlist) condition, a power increase was observed in the alpha and beta frequency range shortly preceding the presentation of the target word that requires binding, which was maximal over frontal-central electrodes. Our interpretation is that these signatures reflect that language comprehenders expect the need for binding to occur. Following the presentation of the target word in a syntactic binding context (relative to the wordlist condition), an increase in alpha power maximal over a left lateralized cluster of frontal-temporal electrodes was observed. We suggest that this alpha increase relates to syntactic binding taking place. Taken together, our findings suggest that increases in alpha and beta power are reflections of distinct the neural processes underlying syntactic binding.

Leading Determinants of Healthy Ageing in Community-Dwelling Middle-Aged Men and Women: A Cohort Study

2018 ◽  
Author(s):  
Xianwen Shang ◽  
Wei Wang ◽  
Stuart Keel ◽  
Jinrong Wu ◽  
Mingguang He ◽  
...  
Keyword(s):  
Cohort Study ◽  
Community Dwelling ◽  
Healthy Ageing ◽  
Middle Aged ◽  
Men And Women

NESTORE Ontology: a Multi-Domain Semantic Tool for the Characterization of Older Adults Status and Behaviour to Promote Healthy Ageing by IoT Systems (Preprint)

2020 ◽  
Author(s):  
Alfonso Mastropietro ◽  
Filippo Palumbo ◽  
Silvia Orte ◽  
Michele Girolami ◽  
Francesco Furfari ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Mental Status ◽  
Scientific Knowledge ◽  
Social Behaviour ◽  
Physical Activity Behaviour ◽  
Healthy Ageing ◽  
Physiological Status ◽  
Ageing Population ◽  
Activity Behaviour

BACKGROUND The constant progression in number and share of the ageing population will likely have deep effects in most of the industrialized countries. The Internet of Things (IoT) paradigm can play a key role in facilitating independent living of the ageing population thus trying to reduce the burden on the society. Considering that ageing is a multi-factorial physiological process, the development of novel IoT systems, tools and devices, specifically targeted to older people, must be based on a holistic framework built on robust scientific knowledge in different scientific domains. OBJECTIVE A novel semantic formalization was developed, based on a multidomain healthy ageing model, to support structuring and standardizing heterogeneous scientific knowledge about ageing. The main aim of the paper is to present the new NESTORE ontology, with the purpose thus extending the available ontologies provided by universAAL-IoT (uAAL-IoT). METHODS Well-assessed scientific knowledge, specifically selected to target older adults aged between 65 and 75, was formalized into a holistic model using a multi-domain approach including three main different dimensions related to well-being: (i) Physiological Status and Physical Activity Behaviour, (ii) Nutrition, and (iii) Cognitive and Mental Status and Social Behaviour. Based on this model, within the NESTORE H2020 project, a new ontology was developed in the uAAL-IoT framework, which provides modelling tools and a set of core ontologies. RESULTS The NESTORE ontologies cover all the needed concepts to represent 5 significant domains of ageing. In total, 12 sub-ontologies were modelled with more than 60 classes and sub-classes referenced among them by using more than 100 relations and around 20 enumerations. NESTORE increases the uAAL ontologies collection by 40% and expand the uAAL domain usage for Physiological Status and Physical Activity Behaviour (8 ontologies), Nutrition (3 ontologies) and Cognitive and Mental Status and Social Behaviour (4 ontologies). CONCLUSIONS NESTORE ontology provides innovation both in terms of semantic content and technological approach. The thoroughly use of this ontology can support the development of a decision support system, to promote healthy ageing, with the capacity to do dynamic multi-scale modelling of user-specific data based on the semantic annotations of users’ profile.

The pharmaceuticalisation of ‘healthy’ ageing: Testosterone enhancement for longevity

2021 ◽  
pp. 103159
Author(s):  
Matthew Dunn ◽  
Kyle JD Mulrooney ◽  
Cynthia Forlini ◽  
Katinka van de Ven ◽  
Mair Underwood
Keyword(s):  
Healthy Ageing
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