Origins of 1/f-like tissue oxygenation fluctuations in the murine cortex

Zhang, Qingguang; Gheres, Kyle W.; Drew, Patrick J.

doi:10.1371/journal.pbio.3001298

Cited by 18 publications

(35 citation statements)

References 210 publications

(388 reference statements)

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“…Also, if two consecutive locomotion events occur within 1 s of each other, the time elapsed in between is considered as a continuous locomotion period. 6 – 8 , 41 , 51 , 59 – 61 We have found that this heuristic allows us to detect both long walking bouts and short “twitches” accurately [ Fig. 2(b) ], as both kinds of movements are associated with robust vasodilation in the somatosensory cortex [ Fig.…”

Section: Monitoring Large Bodily Motions In Awake Head-fixed Micementioning

confidence: 99%

“…8(d) ]. As capillary blood flow is affected by local regulation 138 , 139 and intravascular factors, 140 when extracting heart rate information, one should take caution to make sure the blood flow is free of any obvious stall events, 6 , 141 , 142 which is mainly driven by leukocyte adhesion. 143…”

Section: Other Physiological Signal Monitoringmentioning

confidence: 99%

“…Respiration rate plays an important role in determining oxygenation of brain tissue, as respiration rate can explain about as much variance in oxygenation as neural activity does. 6 , 8 Cognitive tasks have been shown to drive stimulus-locked respiration in humans. 31 Respiration-entrained local field potential (LFP) oscillations are observed brain-wide and in many species.…”

Section: Other Physiological Signal Monitoringmentioning

confidence: 99%

“…Measurement of respiration can be performed by measuring the cooling and warming of air arising from breathing using thermocouples. 6 , 8 , 156 Although junction potentials and positioning differences mean the temperatures recorded are not quantitative indicators of airflow, the timing of inhalations and exhalations can be readily determined from the cooling-warming patterns [ Fig. 9(a) ].…”

Section: Other Physiological Signal Monitoringmentioning

confidence: 99%

“…Head-fixed preparations are invaluable for many physiological approaches, 4 , 5 and offer the ability to limit behavioral complexity, which simplifies experimental design and data analysis, allowing researchers to focus on the behaviors of interest, such as locomotion, 6 – 8 whisking, 9 or licking. 10 Head-fixed preparations also minimize motion artifacts and allow monitoring of neural activity and brain hemodynamics with two-photon laser scanning microscopy, 11 – 13 functional ultrasound imaging, 14 and high-density electrode arrays.…”

Section: Introductionmentioning

confidence: 99%

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Behavioral and physiological monitoring for awake neurovascular coupling experiments: a how-to guide

et al. 2022

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. Significance: Functional brain imaging in awake animal models is a popular and powerful technique that allows the investigation of neurovascular coupling (NVC) under physiological conditions. However, ubiquitous facial and body motions (fidgeting) are prime drivers of spontaneous fluctuations in neural and hemodynamic signals. During periods without movement, animals can rapidly transition into sleep, and the hemodynamic signals tied to arousal state changes can be several times larger than sensory-evoked responses. Given the outsized influence of facial and body motions and arousal signals in neural and hemodynamic signals, it is imperative to detect and monitor these events in experiments with un-anesthetized animals. Aim: To cover the importance of monitoring behavioral state in imaging experiments using un-anesthetized rodents, and describe how to incorporate detailed behavioral and physiological measurements in imaging experiments. Approach: We review the effects of movements and sleep-related signals (heart rate, respiration rate, electromyography, intracranial pressure, whisking, and other body movements) on brain hemodynamics and electrophysiological signals, with a focus on head-fixed experimental setup. We summarize the measurement methods currently used in animal models for detection of those behaviors and arousal changes. We then provide a guide on how to incorporate this measurements with functional brain imaging and electrophysiology measurements. Results: We provide a how-to guide on monitoring and interpreting a variety of physiological signals and their applications to NVC experiments in awake behaving mice. Conclusion: This guide facilitates the application of neuroimaging in awake animal models and provides neuroscientists with a standard approach for monitoring behavior and other associated physiological parameters in head-fixed animals.

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