Hybrid fiber optic-fMRI for multimodal cell-specific recording and manipulation of neural activity in rodents

Ioanas, Horea-Ioan; Schlegel, Felix; Skachokova, Zhiva; Schroeter, Aileen; Husak, Tetiana; Rudin, Markus

doi:10.1117/1.nph.9.3.032206

Cited by 9 publications

(8 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Occurrence of apparent BOLD is dependent on the energy deposited in the tissue, which is determined by the intensity, duration, and frequency of the stimulation pulses (Schmid et al, 2017). Further things to consider are light propagation in tissue becoming diffusive and therefore losing spatial information (Ioanas et al, 2022b), and correction for absorption of fluorescence light by blood (Zhang et al, 2021).…”

Section: From Electrons To Photons: Magnetic Resonance Imaging Combin...mentioning

confidence: 99%

Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls

et al. 2022

View full text Add to dashboard Cite

One of the main challenges in brain research is to link all aspects of brain function: on a cellular, systemic, and functional level. Multimodal neuroimaging methodology provides a continuously evolving platform. Being able to combine calcium imaging, optogenetics, electrophysiology, chemogenetics, and functional magnetic resonance imaging (fMRI) as part of the numerous efforts on brain functional mapping, we have a unique opportunity to better understand brain function. This review will focus on the developments in application of these tools within fMRI studies and highlight the challenges and choices neurosciences face when designing multimodal experiments.

show abstract

Section: From Electrons To Photons: Magnetic Resonance Imaging Combin...mentioning

confidence: 99%

Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Especially in small animal fMRI, physiological noise must be studied carefully, since measurements are often acquired under anesthesia, which alter physiological processes (Gao et al, 2017;Paasonen et al, 2018;van Alst et al, 2019) compared to the awake condition. Small animal fMRI is valuable for translational research, since it offers numerous options such as studying specific disease models (Tenney et al, 2003;Tristao Pereira et al, 2021;Wachsmuth et al, 2021), pharmacological (Haensel et al, 2015) and surgical interventions (Chen et al, 2019) as well as combining MRI with electrophysiological (Pan et al, 2010;Kosten et al, 2022) and optical recordings (Schulz et al, 2012;Albers et al, 2018;Lake et al, 2020;Ioanas et al, 2022). To avoid incorrect translational conclusions, it is crucial to investigate physiological noise and to develop correction methods for commonly performed preclinical experiments.…”

Section: Introductionmentioning

confidence: 99%

The impact of vasomotion on analysis of rodent fMRI data

et al. 2023

View full text Add to dashboard Cite

IntroductionSmall animal fMRI is an essential part of translational research in the cognitive neurosciences. Due to small dimensions and animal physiology preclinical fMRI is prone to artifacts that may lead to misinterpretation of the data. To reach unbiased translational conclusions, it is, therefore, crucial to identify potential sources of experimental noise and to develop correction methods for contributions that cannot be avoided such as physiological noise. Aim of this study was to assess origin and prevalence of hemodynamic oscillations (HDO) in preclinical fMRI in rat, as well as their impact on data analysis.MethodsFollowing the development of algorithms for HDO detection and suppression, HDO prevalence in fMRI measurements was investigated for different anesthetic regimens, comprising isoflurane and medetomidine, and for both gradient echo and spin echo fMRI sequences. In addition to assessing the effect of vasodilation on HDO, it was studied if HDO have a direct neuronal correlate using local field potential (LFP) recordings. Finally, the impact of HDO on analysis of fMRI data was assessed, studying both the impact on calculation of activation maps as well as the impact on brain network analysis. Overall, 303 fMRI measurements and 32 LFP recordings were performed in 71 rats.ResultsIn total, 62% of the fMRI measurements showed HDO with a frequency of (0.20 ± 0.02) Hz. This frequent occurrence indicated that HDO cannot be generally neglected in fMRI experiments. Using the developed algorithms, HDO were detected with a specificity of 95%, and removed efficiently from the signal time courses. HDO occurred brain-wide under vasoconstrictive conditions in both small and large blood vessels. Vasodilation immediately interrupted HDO, which, however, returned within 1 h under vasoconstrictive conditions. No direct neuronal correlate of HDO was observed in LFP recordings. HDO significantly impacted analysis of fMRI data, leading to altered cluster sizes and F-values for activated voxels, as well as altered brain networks, when comparing data with and without HDO.DiscussionWe therefore conclude that HDO are caused by vasomotion under certain anesthetic conditions and should be corrected during fMRI data analysis to avoid bias.

show abstract

“…Cross-modal integration of BOLD fMRI with simultaneously measured optical fiber-based calcium recordings now opens the possibility of identifying the brain-wide measured hemodynamic BOLD response of the local optically measured SoI of a reference volume. The cross-modal approach is possible because the detection of the calcium transients is not disturbed by the strong magnetic field of the MR system, 10 – 18 while the implanted optical fiber does not cause signal artifacts due to field distortions in the fMRI measurements.…”

Section: Introductionmentioning

confidence: 99%

Beyond correlation: functional OPTO-MAgnetic Integration Concept (OPTOMAIC) to reveal the brain-wide signature of local neuronal signals-of-interest

2022

View full text Add to dashboard Cite

Hybrid fiber optic-fMRI for multimodal cell-specific recording and manipulation of neural activity in rodents

Cited by 9 publications

References 125 publications

Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls

Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls

The impact of vasomotion on analysis of rodent fMRI data

Beyond correlation: functional OPTO-MAgnetic Integration Concept (OPTOMAIC) to reveal the brain-wide signature of local neuronal signals-of-interest

Contact Info

Product

Resources

About