The neurovascular unit in brain function and disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Neurovascular coupling, or functional hyperaemia, refers to complex mechanisms of communication between neurons, astrocytes and cerebral vessels which form the neurovascular unit that spatially and temporally adjusts blood supply to the needs in energy and oxygen of activated neurons. Neurovascular coupling is so precise that it underlies neuroimaging techniques to map changes in neuronal activity. Therefore, understanding its basis is indispensable for the proper interpretation of imaging signals from functional magnetic resonance imaging and positron emission tomography, routinely used in humans. Although neurovascular coupling mechanisms are not yet fully understood, considerable progress has been made over the last decade. In this review, we present recent knowledge from in vivo studies on the cortical cellular network involved in neurovascular coupling responses and the mediators implicated in these haemodynamic changes. Recent findings have emphasized the intricate interplay between both excitatory and inhibitory neurons in neurovascular coupling, together with an intermediary role of astrocytes, which are ideally positioned between neurons and microvessels. Finally, we describe latest findings on the alterations of neurovascular function encountered in neurodegenerative conditions such as Alzheimer's disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it