Revealing the cortical glutamatergic neural activity during burst suppression by simultaneous wide field calcium imaging and electroencephalography in mice

Neuroscience ◽  
2021 ◽  
Author(s):  
Shen Gui ◽  
Jiayan Li ◽  
Miaowen Li ◽  
Liang Shi ◽  
Jinling Lu ◽  
...  
Keyword(s):  
Neural Activity ◽  
Calcium Imaging ◽  
Burst Suppression ◽  
Wide Field

Learning Compact DNN Models for Behavior Prediction from Neural Activity of Calcium Imaging

2021 ◽  
Author(s):  
Xiaomin Wu ◽  
Da-Ting Lin ◽  
Rong Chen ◽  
Shuvra S. Bhattacharyya
Keyword(s):  
Neural Activity ◽  
Calcium Imaging ◽  
Behavior Prediction

scholarly journals Miniaturized head-mounted device for whole cortex mesoscale imaging in freely behaving mice

2020 ◽  
Author(s):  
Mathew L Rynes ◽  
Daniel Surinach ◽  
Samantha Linn ◽  
Michael Laroque ◽  
Vijay Rajendran ◽  
...  
Keyword(s):  
Neural Activity ◽  
Glutamate Release ◽  
Wide Field ◽  
Dorsal Cortex ◽  
Perceptual Decision Making ◽  
Calcium Activity ◽  
Calcium Indicators ◽  
Stroboscopic Illumination ◽  
Freely Behaving ◽  
Sensory Evoked

ABSTRACTThe advent of genetically encoded calcium indicators, along with surgical preparations such as thinned skulls or refractive index matched skulls, have enabled mesoscale cortical activity imaging in head-fixed mice. Such imaging studies have revealed complex patterns of coordinated activity across the cortex during spontaneous behaviors, goal-directed behavior, locomotion, motor learning, and perceptual decision making. However, neural activity during unrestrained behavior significantly differs from neural activity in head-fixed animals. Whole-cortex imaging in freely behaving mice will enable the study of neural activity in a larger, more complex repertoire of behaviors not possible in head-fixed animals. Here we present the “Mesoscope,” a wide-field miniaturized, head-mounted fluorescence microscope compatible with transparent polymer skulls recently developed by our group. With a field of view of 8 mm x 10 mm and weighing less than 4 g, the Mesoscope can image most of the mouse dorsal cortex with resolution ranging from 39 to 56 µm. Stroboscopic illumination with blue and green LEDs allows for the measurement of both fluorescence changes due to calcium activity and reflectance signals to capture hemodynamic changes. We have used the Mesoscope to successfully record mesoscale calcium activity across the dorsal cortex during sensory-evoked stimuli, open field behaviors, and social interactions. Finally, combining the mesoscale imaging with electrophysiology enabled us to measure dynamics in extracellular glutamate release in the cortex during the transition from wakefulness to natural sleep.

scholarly journals Simultaneous voltage and calcium imaging and optogenetic stimulation with high sensitivity and a wide field of view

2019 ◽  
Vol 10 (2) ◽  
pp. 789 ◽  
Author(s):  
Cuong Nguyen ◽  
Hansini Upadhyay ◽  
Michael Murphy ◽  
Gabriel Borja ◽  
Emily J. Rozsahegyi ◽  
...  
Keyword(s):  
Calcium Imaging ◽  
High Sensitivity ◽  
Field Of View ◽  
Wide Field ◽  
Optogenetic Stimulation ◽  
Wide Field Of View

scholarly journals In vivo wide-field calcium imaging of mouse thalamocortical synapses with an 8 K ultra-high-definition camera

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Eriko Yoshida ◽  
Shin-Ichiro Terada ◽  
Yasuyo H. Tanaka ◽  
Kenta Kobayashi ◽  
Masamichi Ohkura ◽  
...  
Keyword(s):  
Calcium Imaging ◽  
Wide Field ◽  
High Definition

scholarly journals Spatiotemporal refinement of signal flow through association cortex during learning

2019 ◽  
Author(s):  
Ariel Gilad ◽  
Fritjof Helmchen
Keyword(s):  
Calcium Imaging ◽  
Barrel Cortex ◽  
Association Cortex ◽  
Wide Field ◽  
Signal Flow ◽  
Flow Enhancement ◽  
Flow Through ◽  
Two Phases ◽  
Related Phase ◽  
Activation Sequence

AbstractAssociation areas in neocortex encode novel stimulus-outcome relationships but the principles of their engagement during task learning remain elusive. Using chronic wide-field calcium imaging we reveal two phases of spatiotemporal refinement of layer 2/3 cortical activity in mice learning whisker-based texture discrimination. Even before mice reach learning threshold, association cortex—including rostro-lateral (RL), posteromedial (PM), and retrosplenial dorsal (RD) areas—is generally suppressed early during trials (between auditory start cue and whisker-texture touch). As learning proceeds, a spatiotemporal activation sequence builds up, spreading from auditory areas to RL immediately before texture touch (whereas PM and RD remain suppressed) and continuing into barrel cortex, which eventually efficiently discriminates between textures. Additional correlation analysis substantiates this diverging learning-related refinement within association cortex. Our results indicate that a pre-learning phase of general suppression in association cortex precedes a learning-related phase of task-specific signal flow enhancement.

scholarly journals Cognitive experience alters cortical involvement in navigation decisions

2021 ◽  
Author(s):  
Christopher D Harvey ◽  
Charlotte Arlt ◽  
Roberto Barroso-Luque ◽  
Shinichiro Kira ◽  
Carissa A Bruno ◽  
...  
Keyword(s):  
Decision Making ◽  
Neural Activity ◽  
Calcium Imaging ◽  
Posterior Parietal Cortex ◽  
Retrosplenial Cortex ◽  
Neuron Activity ◽  
Decision Task ◽  
Simple Task ◽  
Critical Determinant ◽  
Cortical Areas

The neural correlates of decision-making have been investigated extensively, and recent work aims to identify under what conditions cortex is actually necessary for making accurate decisions. We discovered that mice with distinct cognitive experiences, beyond sensory and motor learning, use different cortical areas and neural activity patterns to solve the same task, revealing past learning as a critical determinant of whether cortex is necessary for decision-making. We used optogenetics and calcium imaging to study the necessity and neural activity of multiple cortical areas in mice with different training histories. Posterior parietal cortex and retrosplenial cortex were mostly dispensable for accurate decision-making in mice performing a simple navigation-based decision task. In contrast, these areas were essential for the same simple task when mice were previously trained on complex tasks with delay periods or association switches. Multi-area calcium imaging showed that, in mice with complex-task experience, single-neuron activity had higher selectivity and neuron-neuron correlations were weaker, leading to codes with higher task information. Therefore, past experience sets the landscape for how future tasks are solved by the brain and is a key factor in determining whether cortical areas have a causal role in decision-making.

scholarly journals Quantitative evaluation of two-photon calcium imaging modalities for high-speed volumetric calcium imaging in scattering brain tissue

2017 ◽  
Author(s):  
Siegfried Weisenburger ◽  
Robert Prevedel ◽  
Alipasha Vaziri
Keyword(s):  
Brain Tissue ◽  
Quantitative Evaluation ◽  
Calcium Imaging ◽  
Model Systems ◽  
Network Activity ◽  
Mammalian Brain ◽  
Optimization Approach ◽  
Wide Field ◽  
Two Photon ◽  
Neuronal Network Activity

AbstractConsiderable efforts are currently being devoted to enhance the speed, spatial resolution and the size of the 3D sample volumes in which calcium imaging methods can capture neuronal network activity in different model systems. In the mammalian brain, tissue scattering severely limits the use of parallel acquisition techniques such as wide-field imaging and, as a consequence, methods based on two-photon point-scanning (2PM) have become the method of choice. However, 2PM faces severe restrictions due to technical limitations such as scan speed, laser power, and those related to the fluorescent probes, calling for conceptually new approaches to enhance the performance of two-photon calcium imaging schemes. Here we provide a detailed quantitative evaluation and comparison of different excitation/detection modalities from the perspective of detecting neuronal activity that are based on different point-spread functions (PSF), laser repetition rates and sampling strategies. We demonstrate the conditions for which imaging speed and signal-to-noise ratio are optimized for a given average power. Our results are based on numerical simulations which are informed by experimentally measured parameters and show that volumetric field of view and acquisition speed can be considerably improved compared to traditional 2PM schemes by a holistic optimization approach.

scholarly journals Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning

2021 ◽  
pp. 109421
Author(s):  
Xiaohui Zhang ◽  
Eric C. Landsness ◽  
Wei Chen ◽  
Hanyang Miao ◽  
Michelle Tang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Calcium Imaging ◽  
Wide Field ◽  
Imaging Data ◽  
Sleep State ◽  
Visibility Graphs ◽  
State Classification

scholarly journals A distributed neocortical action map associated with reach-to-grasp

2020 ◽  
Author(s):  
Eros Quarta ◽  
Alessandro Scaglione ◽  
Jessica Lucchesi ◽  
Leonardo Sacconi ◽  
Anna Letizia Allegra Mascaro ◽  
...  
Keyword(s):  
Motor Control ◽  
Neural Activity ◽  
Wide Field ◽  
Activity Levels ◽  
Large Network ◽  
Reach To Grasp ◽  
Neural Repair ◽  
Neocortical Dynamics ◽  
Motor Areas

ABSTRACTReach-to-Grasp (RtG) is known to be dependent upon neocortical circuits and extensive research has provided insights into how selected neocortical areas contribute to control dexterous movements. Surprisingly, little infor-mation is available on the global neocortical computations underlying RtG in the mouse. Here, we characterized, employing fluorescence wide-field cal-cium imaging, the neocortex-wide dynamics from mice engaging in a RtG task. We demonstrate that, beyond canonical motor regions, several areas, such as the visual and the retrosplenial cortices, also increase their activ-ity levels during successful RtGs. Intriguingly, homologous regions across the ipsilateral hemisphere are also involved. Functional connectivity among areas increases transiently from rest to planning, and decreases during move-ment. Two anti-correlated neocortical networks emerged during movement. At variance, neural activity levels scale linearly with kinematics measures of successful RtGs in secondary motor areas. Our findings establish the coex-istence of distributed and localized neocortical dynamics for efficient control of complex movements.SIGNIFICANCE STATEMENTIn mammals, including humans, the cerebral cortex is known to be critical for the correct execution of dexterous movements. Despite the importance of the mouse for elucidating the neural circuitry for motor control, its neocortex-wide dynamics during RtG are largely unexplored. We used in-vivo fluores-cence microscopy to characterize the neural activity across the neocortex as mice performed a reach-to-grasp task. We show that for such complex movements, a large network of neocortical areas gets involved, while movement kinematics correlates with neural activity in secondary motor areas. These findings indicate the coexistence, at the mesoscale level, of distributed and localized neocortical dynamics for the execution of fine movements. This study offers a novel view on the neocortical correlates of motor control, with potential implications for neural repair.

scholarly journals Interpreting wide-band neural activity using convolutional neural networks

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Markus Frey ◽  
Sander Tanni ◽  
Catherine Perrodin ◽  
Alice O'Leary ◽  
Matthias Nau ◽  
...  
Keyword(s):  
Neural Activity ◽  
Calcium Imaging ◽  
Wide Band ◽  
Brain Regions ◽  
Imaging Data ◽  
User Input ◽  
Neural Recordings ◽  
Learning Framework ◽  
Behavioral Variables ◽  
Spatial Behaviors

Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires considerable knowledge about the nature of the representation and often depends on manual operations. Decoding provides a means to infer the information content of such recordings but typically requires highly processed data and prior knowledge of the encoding scheme. Here, we developed a deep-learning framework able to decode sensory and behavioral variables directly from wide-band neural data. The network requires little user input and generalizes across stimuli, behaviors, brain regions, and recording techniques. Once trained, it can be analyzed to determine elements of the neural code that are informative about a given variable. We validated this approach using electrophysiological and calcium-imaging data from rodent auditory cortex and hippocampus as well as human electrocorticography (ECoG) data. We show successful decoding of finger movement, auditory stimuli, and spatial behaviors – including a novel representation of head direction - from raw neural activity.

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