paper-with-me

Papers

Opto-magnetic imaging of neural network activity in brain slices at high resolution using color centers in diamond

2017-08-21

We suggest a novel approach for wide-field imaging of the neural network dynamics of brain slices that uses highly sensitivity magnetometry based on nitrogen-vacancy (NV) centers in diamond. In-vitro recordings in brain slices is a proven method for the characterization of electrical neural activity and has strongly contributed to our understanding of the mechanisms that govern neural information processing. However, traditional recordings can only acquire signals from a few positions simultaneously, which severely limits their ability to characterize the dynamics of the underlying neural networks. We suggest to radically extend the scope of this method using the wide-field imaging of the neural magnetic fields across the slice by means of NV magnetometry. Employing comprehensive computational simulations and theoretical analyses, we characterize the spatiotemporal characteristics of the neural magnetic fields and derive the required key performance parameters of an imaging setup based on NV magnetometry. In particular, we determine how the technical parameters determine the achievable spatial resolution for an optimal reconstruction of the neural currents from the measured field distributions. Finally, we compare the imaging of neural slice activity with that of a single planar pyramidal cell. Our results suggest that imaging of neural slice activity will be possible with the upcoming generation of NV magnetic field sensors, while imaging of the activity of a single planar cell remains more challenging.

📄 PDF Abstract BibTeX arXiv:1708.06158

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Functional optoacoustic neuro-tomography (FONT) for whole-brain monitoring of calcium indicators

2015-01-11

Non-invasive observation of spatiotemporal neural activity of large neural populations distributed over entire brains is a longstanding goal of neuroscience. We developed a real-time volumetric and multispectral optoacou…

Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging

2021-09-04 · Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang 외

Multi-spectral optoacoustic tomography (MSOT) is an emerging optical imaging method providing multiplex molecular and functional information from the rodent brain. It can be greatly augmented by magnetic resonance imagin…

AnatomyBrain SegmentationImage RegistrationImage Segmentation+2

Why is neural connection weight a weak predictor of correlated neural activity?

2021-03-28 · Daniel Graham

As the field of connectomics has matured, it has expanded from mapping the existence of connections between brain components to measuring the strength of connections. This information is increasingly accessible via metho…

Functional Connectivity

Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

2018-10-23 · Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek

The application of deep learning (DL) models to neuroimaging data poses several challenges, due to the high dimensionality, low sample size and complex temporo-spatial dependency structure of these datasets. Even further…

Deep Learning

MK-ResRecon: Multi-Kernel Residual Framework for Texture-Aware 3D MRI Refinement from Sparse 2D Slices

2026-05-05 · Prajyot Pyati, Sapna Sachan, Amulya Kumar Mahto, Pranjal Phukan arxiv

Magnetic Resonance Imaging (MRI) acquisition remains a time-intensive and patient-straining process, as prolonged scan dura- tions increase the likelihood of motion artifacts, which degrade image quality and frequently r…

MRI Reconstruction3D Reconstruction