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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
Weak correlations between hemodynamic signals and ongoing neural activity during the resting state
Aaron T Winder1,2, Christina Echagarruga1,3, Qingguang Zhang1,2
1Center for Neural Engineering, Pennsylvania State University, University Park, PA, USA.
Spontaneous hemodynamic signals, reflecting cerebral blood volume (CBV) changes, are influenced by movement and potentially non-neuronal factors, not just neural activity during rest.
Area of Science:
- Neuroscience
- Physiology
- Biomedical Engineering
Background:
- Spontaneous fluctuations in hemodynamic signals are commonly used to infer neural activity during rest.
- Understanding the origins of these signals is crucial for accurate brain activity monitoring.
Purpose of the Study:
- To investigate the relationship between neural activity and cerebral blood volume (CBV) fluctuations during rest and behavioral states.
- To determine the drivers of spontaneous hemodynamic signals in the somatosensory cortex.
Main Methods:
- Simultaneous measurement of neural activity and CBV in awake, head-fixed mice.
- Recording during rest, whisker stimulation, and volitional whisking.
- Pharmacological blockade of neural and noradrenergic pathways.
Main Results:
- Neurovascular coupling remained consistent across different behavioral states.
- Volitional movements, not sensory input, drove large spontaneous CBV changes during rest.
- Hemodynamic signals during rest showed weak correlation with neural activity.
- Spontaneous CBV fluctuations persisted even when neural activity and specific receptors were blocked, suggesting non-neuronal origins.
Conclusions:
- Spontaneous hemodynamic signals are a complex interplay of behavior, neural activity, and non-neuronal processes.
- Relying solely on spontaneous hemodynamic signals for neural activity inference may be limited.
- Further research is needed to fully elucidate the non-neuronal contributions to hemodynamic signals.
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