A Circumpolar Experience: How Social Determinants of Health, Climate Change, Grapes, and Medical Innovation are Related

This report shares my experience on an Arctic expedition with the Students on Ice Foundation. Social Determinants of Health (SDHs), including climate change, are considerably worse in Indigenous populations than the rest of Canada, and they carry profoundly negative implications for Indigenous healthcare. Climate change has a more significant effect at the poles than anywhere else globally, thus compounding the effects of SDHs and worsening Indigenous health. There are innovative ways in which SDHs and the effects of climate change can be mitigated and ways in which Indigenous healthcare can be improved, particularly with programs such as Students on Ice

Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill

Learning to read requires children to link print (orthography) with its corresponding speech sounds (phonology). Yet, most EEG studies of reading development focus on emerging functional specialization (e.g., developing increasingly refined orthographic representations), rather than directly measuring the functional connectivity that links orthography and phonology in real time. In this proof-of-concept study we relate children's reading skill to both orthographic specialization for print (via the N170, also called the N1, event related potential, ERP) and orthographic-phonological integration (via dynamic/event-related EEG phase synchronization – an index of functional brain network connectivity). Typically developing English speaking children (n = 24; 4–14 years) and control adults (n = 20; 18–35 years) viewed pseudowords, consonants and unfamiliar false fonts during a 1-back memory task while 64-channel EEG was recorded. Orthographic specialization (larger N170 for pseudowords vs. false fonts) became more left-lateralized with age, but not with reading skill. Conversely, children's reading skill correlated with functional brain network connectivity during pseudoword processing that requires orthography-phonology linking. This was seen during two periods of simultaneous low frequency synchronization/high frequency desynchronization of posterior-occipital brain network activity. Specifically, in stronger readers, left posterior-occipital activity showed more delta (1–3Hz) synchronization around 300–500 ms (simultaneous with gamma 30–80 Hz desynchronization) and more gamma desynchronization around 600–1000 ms (simultaneous with theta 3–7Hz synchronization) during pseudoword vs. false font processing. These effects were significant even when controlling for age (moderate – large effect sizes). Dynamic functional brain network connectivity measures the brain's real-time sound-print linking. It may offer an under-explored, yet sensitive, index of the neural plasticity associated with reading development. Reading requires us to link visual print with speech sound processing. Yet, most EEG reading research explores functional specialization not integration. While children's age relates to ERPs (N170) associated with print specialization. Children's reading skill relates to real-time functional brain network connectivity. EEG phase synchrony = sensitive index of functional integration during reading

Addressing the Language Binding Problem With Dynamic Functional Connectivity During Meaningful Spoken Language Comprehension

During speech, how does the brain integrate information processed on different timescales and in separate brain areas so we can understand what is said? This is the language binding problem. Dynamic functional connectivity (brief periods of synchronization in the phase of EEG oscillations) may provide some answers. Here we investigate time and frequency characteristics of oscillatory power and phase synchrony (dynamic functional connectivity) during speech comprehension. Twenty adults listened to meaningful English sentences and non-sensical “Jabberwocky” sentences in which pseudo-words replaced all content words, while EEG was recorded. Results showed greater oscillatory power and global connectivity strength (mean phase lag index) in the gamma frequency range (30–80 Hz) for English compared to Jabberwocky. Increased power and connectivity relative to baseline was also seen in the theta frequency range (4–7 Hz), but was similar for English and Jabberwocky. High-frequency gamma oscillations may reflect a mechanism by which the brain transfers and integrates linguistic information so we can extract meaning and understand what is said. Slower frequency theta oscillations may support domain-general processing of the rhythmic features of speech. Our findings suggest that constructing a meaningful representation of speech involves dynamic interactions among distributed brain regions that communicate through frequency-specific functional networks