Deep posteromedial cortical rhythm in dissociation

Nature, Journal Year: 2020, Volume and Issue: 586(7827), P. 87 - 94

Published: Sept. 16, 2020

Language: Английский

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The emergence and influence of internal states

Neuron, Journal Year: 2022, Volume and Issue: 110(16), P. 2545 - 2570

Published: May 27, 2022

Language: Английский

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Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number

Neuron, Journal Year: 2024, Volume and Issue: 112(10), P. 1694 - 1709.e5

Published: March 6, 2024

Language: Английский

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Single-shot 3D wide-field fluorescence imaging with a Computational Miniature Mesoscope

Science Advances, Journal Year: 2020, Volume and Issue: 6(43)

Published: Oct. 21, 2020

Computational Miniature Mesoscope enables single-shot large-scale 3D fluorescence imaging with single-cell level resolution.

Language: Английский

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The Importance of Accounting for Movement When Relating Neuronal Activity to Sensory and Cognitive Processes

Journal of Neuroscience, Journal Year: 2022, Volume and Issue: 42(8), P. 1375 - 1382

Published: Jan. 13, 2022

A surprising finding of recent studies in mouse is the dominance widespread movement-related activity throughout brain, including early sensory areas. In awake subjects, failing to account for movement risks misattributing other (e.g., or cognitive) processes. this article, we (1) review task designs separating task-related and activity, (2) three “case studies” which not considering would have resulted critically different interpretations neuronal function, (3) discuss functional couplings that may prevent us from ever fully isolating sensory, motor, cognitive-related activity. Our main thesis neural signals related are ubiquitous, therefore ought be considered first foremost when attempting correlate with

Language: Английский

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Remote control of neural function by X-ray-induced scintillation

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: July 22, 2021

Abstract Scintillators emit visible luminescence when irradiated with X-rays. Given the unlimited tissue penetration of X-rays, employment scintillators could enable remote optogenetic control neural functions at any depth brain. Here we show that a yellow-emitting inorganic scintillator, Ce-doped Gd 3 (Al,Ga) 5 O 12 (Ce:GAGG), can effectively activate red-shifted excitatory and inhibitory opsins, ChRmine GtACR1, respectively. Using injectable Ce:GAGG microparticles, successfully activated inhibited midbrain dopamine neurons in freely moving mice by X-ray irradiation, producing bidirectional modulation place preference behavior. microparticles are non-cytotoxic biocompatible, allowing for chronic implantation. Pulsed irradiation clinical dose level is sufficient to elicit behavioral changes without reducing number radiosensitive cells brain bone marrow. Thus, scintillator-mediated optogenetics enables minimally invasive, wireless cellular living animals, expanding applications functional studies biology medicine.

Language: Английский

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Through the looking glass: A review of cranial window technology for optical access to the brain

Journal of Neuroscience Methods, Journal Year: 2021, Volume and Issue: 354, P. 109100 - 109100

Published: Feb. 15, 2021

Deciphering neurologic function is a daunting task, requiring understanding the neuronal networks and emergent properties that arise from interactions among single neurons. Mechanistic insights into require tools simultaneously assess both neuron activity consequent mesoscale output. The development of cranial window technologies, in which skull thinned or replaced with synthetic optical interface, has enabled monitoring subcellular to resolution awake, behaving animals when coupled advanced microscopy techniques. Here we review recent achievements appraise relative merits each design discuss future research design.

Language: Английский

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Wide-Field Calcium Imaging of Dynamic Cortical Networks during Locomotion

Cerebral Cortex, Journal Year: 2021, Volume and Issue: 32(12), P. 2668 - 2687

Published: Sept. 15, 2021

Motor behavior results in complex exchanges of motor and sensory information across cortical regions. Therefore, fully understanding the cerebral cortex's role requires a mesoscopic-level description regions engaged, their functional interactions, how these interactions change with behavioral state. Mesoscopic Ca2+ imaging through transparent polymer skulls mice reveals elevated activation dorsal cortex during locomotion. Using correlations between time series fluorescence from 28 (nodes) obtained using spatial independent component analysis (sICA), we examined changes connectivity rest to locomotion goal state that facilitate Both transitions show marked increases correlation among most nodes. However, once steady continued is reached, many nodes, including primary somatosensory decreases correlations, while retrosplenial anterior nodes secondary increases. These highlight cortex, representing on return rest.

Language: Английский

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Multiregion neuronal activity: the forest and the trees

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(11), P. 683 - 704

Published: Oct. 3, 2022

Language: Английский

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Deep-learning-augmented computational miniature mesoscope

Optica, Journal Year: 2022, Volume and Issue: 9(9), P. 1009 - 1009

Published: Aug. 3, 2022

Fluorescence microscopy is essential to study biological structures and dynamics. However, existing systems suffer from a tradeoff between field-of-view (FOV), resolution, complexity, thus cannot fulfill the emerging need of miniaturized platforms providing micron-scale resolution across centimeter-scale FOVs. To overcome this challenge, we developed Computational Miniature Mesoscope (CM$^2$) that exploits computational imaging strategy enable single-shot 3D high-resolution wide FOV in platform. Here, present CM$^2$ V2 significantly advances both hardware computation. We complement 3$\times$3 microlens array with new hybrid emission filter improves contrast by 5$\times$, design 3D-printed freeform collimator for LED illuminator excitation efficiency 3$\times$. reconstruction large volume, develop an accurate efficient linear shift-variant (LSV) model characterizes spatially varying aberrations. then train multi-module deep learning model, CM$^2$Net, using only 3D-LSV simulator. show CM$^2$Net generalizes well experiments achieves $\sim$7-mm 800-$\mu$m depth, provides $\sim$6-$\mu$m lateral $\sim$25-$\mu$m axial resolution. This $\sim$8$\times$ better localization $\sim$1400$\times$ faster speed as compared previous model-based algorithm. anticipate simple low-cost miniature system will be impactful many large-scale fluorescence applications.

Language: Английский

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