Functional Imaging Techniques in Neurovascular Dynamics
Summary
Functional imaging techniques have transformed our understanding of neurovascular dynamics by enabling non-invasive observation of the interplay between neural activity and cerebral blood flow. Central to this endeavour is the blood oxygenation level-dependent (BOLD) contrast in functional magnetic resonance imaging (fMRI), which infers neuronal events from changes in local haemodynamics. Complementary approaches, such as functional magnetic resonance spectroscopy (fMRS), permit dynamic measurement of neurometabolites during activation, revealing shifts in glutamate, glucose and other compounds that underlie synaptic function. Advanced modelling frameworks, including nonlinear haemodynamic response functions and biophysical models of neurovascular coupling, enhance the interpretative power of fMRI signals by deconvolving vascular and neuronal contributions. In parallel, methods for estimating functional and effective connectivity exploit temporal correlations and causal inference to map network-level interactions, illuminating how cerebrovascular responses synchronise across distributed regions. Together, these techniques provide a multifaceted view of the cerebral microenvironment, offering insights into healthy brain function, the impact of ageing and the pathophysiology of disorders ranging from stroke to neurodegeneration.
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Functional Imaging Techniques in Neurovascular Dynamics publication trend
The graph below shows the total number of articles in functional imaging techniques in neurovascular dynamics across all publications each year (not limited to Nature Index journals).
Technical terms
BOLD fMRI: A magnetic resonance imaging method that infers neural activation by detecting changes in blood oxygenation and flow.
Neurovascular coupling: The process by which neuronal activity triggers local changes in cerebral blood flow and volume.
Functional magnetic resonance spectroscopy (fMRS): A technique to measure dynamic concentrations of neurometabolites during functional tasks.
Hemodynamic response function (HRF): A mathematical model describing the temporal profile of the vascular response to a brief burst of neural activity.
Effective connectivity: An estimate of directed causal influences between neural regions, often derived through modelling frameworks such as dynamic causal modelling.
References
- A 7T interleaved fMRS and fMRI study on visual contrast dependency in the human brain. Imaging Neuroscience (2023).
- Evaluating Models of the Ageing BOLD Response. Human Brain Mapping (2024).
- Identifying Neural Drivers with Functional MRI: An Electrophysiological Validation. PLOS Biology (2008).
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