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Dive into the research topics where Jacob Bernstein is active.

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Featured researches published by Jacob Bernstein.


Neuron | 2009

Millisecond-Timescale Optical Control of Neural Dynamics in the Nonhuman Primate Brain

Xue Han; Xiaofeng Qian; Jacob Bernstein; Huihui Zhou; Giovanni Talei Franzesi; Patrick Stern; Roderick T. Bronson; Ann M. Graybiel; Robert Desimone; Edward S. Boyden

To understand how brain states and behaviors are generated by neural circuits, it would be useful to be able to perturb precisely the activity of specific cell types and pathways in the nonhuman primate nervous system. We used lentivirus to target the light-activated cation channel channelrhodopsin-2 (ChR2) specifically to excitatory neurons of the macaque frontal cortex. Using a laser-coupled optical fiber in conjunction with a recording microelectrode, we showed that activation of excitatory neurons resulted in well-timed excitatory and suppressive influences on neocortical neural networks. ChR2 was safely expressed, and could mediate optical neuromodulation, in primate neocortex over many months. These findings highlight a methodology for investigating the causal role of specific cell types in nonhuman primate neural computation, cognition, and behavior, and open up the possibility of a new generation of ultraprecise neurological and psychiatric therapeutics via cell-type-specific optical neural control prosthetics.


Trends in Cognitive Sciences | 2011

Optogenetic tools for analyzing the neural circuits of behavior.

Jacob Bernstein; Edward S. Boyden

In order to understand how the brain generates behaviors, it is important to be able to determine how neural circuits work together to perform computations. Because neural circuits are made of a great diversity of cell types, it is critical to be able to analyze how these different kinds of cell work together. In recent years, a toolbox of fully genetically encoded molecules has emerged that, when expressed in specific neurons, enables the electrical activity of the targeted neurons to be controlled in a temporally precise fashion by pulses of light. We describe this optogenetic toolbox, how it can be used to analyze neural circuits in the brain and how optogenetics is impacting the study of cognition.


Journal of Neurophysiology | 2011

Mapping Brain Networks in Awake Mice Using Combined Optical Neural Control and fMRI

Mitul Desai; Itamar Kahn; Ulf Knoblich; Jacob Bernstein; Hisham E. Atallah; Aimei Yang; Nancy Kopell; Randy L. Buckner; Ann M. Graybiel; Christopher I. Moore; Edward S. Boyden

Behaviors and brain disorders involve neural circuits that are widely distributed in the brain. The ability to map the functional connectivity of distributed circuits, and to assess how this connectivity evolves over time, will be facilitated by methods for characterizing the network impact of activating a specific subcircuit, cell type, or projection pathway. We describe here an approach using high-resolution blood oxygenation level-dependent (BOLD) functional MRI (fMRI) of the awake mouse brain-to measure the distributed BOLD response evoked by optical activation of a local, defined cell class expressing the light-gated ion channel channelrhodopsin-2 (ChR2). The utility of this opto-fMRI approach was explored by identifying known cortical and subcortical targets of pyramidal cells of the primary somatosensory cortex (SI) and by analyzing how the set of regions recruited by optogenetically driven SI activity differs between the awake and anesthetized states. Results showed positive BOLD responses in a distributed network that included secondary somatosensory cortex (SII), primary motor cortex (MI), caudoputamen (CP), and contralateral SI (c-SI). Measures in awake compared with anesthetized mice (0.7% isoflurane) showed significantly increased BOLD response in the local region (SI) and indirectly stimulated regions (SII, MI, CP, and c-SI), as well as increased BOLD signal temporal correlations between pairs of regions. These collective results suggest opto-fMRI can provide a controlled means for characterizing the distributed network downstream of a defined cell class in the awake brain. Opto-fMRI may find use in examining causal links between defined circuit elements in diverse behaviors and pathologies.


Proceedings of SPIE | 2008

Prosthetic system for therapeutic optical activation and silencing of genetically-targeted neurons

Edward S. Boyden; Jacob Bernstein; Michael Henninger

Many neural disorders are associated with aberrant activity in specific cell types or neural projection pathways embedded within the densely-wired, heterogeneous matter of the brain. An ideal therapy would permit correction of activity just in specific target neurons, while leaving other neurons unaltered. Recently our lab revealed that the naturally-occurring light-activated proteins channelrhodopsin-2 (ChR2) and halorhodopsin (Halo/NpHR) can, when genetically expressed in neurons, enable them to be safely, precisely, and reversibly activated and silenced by pulses of blue and yellow light, respectively. We here describe the ability to make specific neurons in the brain light-sensitive, using a viral approach. We also reveal the design and construction of a scalable, fully-implantable optical prosthetic capable of delivering light of appropriate intensity and wavelength to targeted neurons at arbitrary 3-D locations within the brain, enabling activation and silencing of specific neuron types at multiple locations. Finally, we demonstrate control of neural activity in the cortex of the non-human primate, a key step in the translation of such technology for human clinical use. Systems for optical targeting of specific neural circuit elements may enable a new generation of high-precision therapies for brain disorders.


The Journal of Neuroscience | 2011

Characterization of the Functional MRI Response Temporal Linearity via Optical Control of Neocortical Pyramidal Neurons

Itamar Kahn; Mitul Desai; Ulf Knoblich; Jacob Bernstein; Michael Alan Henninger; Ann M. Graybiel; Edward S. Boyden; Randy L. Buckner; Christopher I. Moore

The blood oxygenation level-dependent (BOLD) signal serves as the basis for human functional MRI (fMRI). Knowledge of the properties of the BOLD signal, such as how linear its response is to sensory stimuli, is essential for the design and interpretation of fMRI experiments. Here, we combined the cell-type and site-specific causal control provided by optogenetics and fMRI (opto-fMRI) in mice to test the linearity of BOLD signals driven by locally induced excitatory activity. We employed high-resolution mouse fMRI at 9.4 tesla to measure the BOLD response, and extracellular electrophysiological recordings to measure the effects of stimulation on single unit, multiunit, and local field potential activity. Optically driven stimulation of layer V neocortical pyramidal neurons resulted in a positive local BOLD response at the stimulated site. Consistent with a linear transform model, this locally driven BOLD response summated in response to closely spaced trains of stimulation. These properties were equivalent to responses generated through the multisynaptic method of driving neocortical activity by tactile sensory stimulation, and paralleled changes in electrophysiological measures. These results illustrate the potential of the opto-fMRI method and reinforce the critical assumption of human functional neuroimaging that—to first approximation—the BOLD response tracks local neural activity levels.


IEEE Transactions on Biomedical Engineering | 2016

Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording

Jorg Scholvin; Justin P. Kinney; Jacob Bernstein; Caroline Moore-Kochlacs; Nancy Kopell; Clifton G. Fonstad; Edward S. Boyden

Objective: Neural recording electrodes are important tools for understanding neural codes and brain dynamics. Neural electrodes that are closely packed, such as in tetrodes, enable spatial oversampling of neural activity, which facilitates data analysis. Here we present the design and implementation of close-packed silicon microelectrodes to enable spatially oversampled recording of neural activity in a scalable fashion. Methods: Our probes are fabricated in a hybrid lithography process, resulting in a dense array of recording sites connected to submicron dimension wiring. Results: We demonstrate an implementation of a probe comprising 1000 electrode pads, each 9 × 9 μm, at a pitch of 11 μm. We introduce design automation and packaging methods that allow us to readily create a large variety of different designs. Significance: We perform neural recordings with such probes in the live mammalian brain that illustrate the spatial oversampling potential of closely packed electrode sites.


PLOS Genetics | 2011

Feed-forward microprocessing and splicing activities at a microRNA-containing intron.

Maja M. Janas; Mehdi Khaled; Steffen Schubert; Jacob Bernstein; David E. Golan; Rosa Veguilla; David E. Fisher; Noam Shomron; Carmit Levy; Carl D. Novina

The majority of mammalian microRNA (miRNA) genes reside within introns of protein-encoding and non-coding genes, yet the mechanisms coordinating primary transcript processing into both mature miRNA and spliced mRNA are poorly understood. Analysis of melanoma invasion suppressor miR-211 expressed from intron 6 of melastatin revealed that microprocessing of miR-211 promotes splicing of the exon 6–exon 7 junction of melastatin by a mechanism requiring the RNase III activity of Drosha. Additionally, mutations in the 5′ splice site (5′SS), but not in the 3′SS, branch point, or polypyrimidine tract of intron 6 reduced miR-211 biogenesis and Drosha recruitment to intron 6, indicating that 5′SS recognition by the spliceosome promotes microprocessing of miR-211. Globally, knockdown of U1 splicing factors reduced intronic miRNA expression. Our data demonstrate novel mutually-cooperative microprocessing and splicing activities at an intronic miRNA locus and suggest that the initiation of spliceosome assembly may promote microprocessing of intronic miRNAs.


Advanced Materials | 2013

Simple Precision Creation of Digitally Specified, Spatially Heterogeneous, Engineered Tissue Architectures

Umut A. Gurkan; Yantao Fan; Feng Xu; Burcu Erkmen; Emel Sokullu Urkac; Gunes Parlakgul; Jacob Bernstein; Wangli Xing; Edward S. Boyden; Utkan Demirci

Natural organs are spatially heterogeneous, both in material composition and in the cell types within. Engineered tissues, in contrast, remain challenging to create, especially if the goal is to spatially position multiple cell types in a heterogeneous pattern in three dimensions (3D). Here, we describe a simple, inexpensive, yet extremely precise method to create tissue architectures in a digitally specifiable fashion, with morphological and compositional tuning. Specifically, we pattern hydrogel crosslinking via a novel photolithographic process that can trap solutions of extracellular matrix (ECM) components, cells, and diffusible factors in defined 3D shapes, without requiring specialized expensive optics or robotics. By iterating this process with different patterns and different cellular compositions, engineered tissues of varying heterogeneity, size, and complexity can be designed and implemented with microscale precision, in a fashion practical for individual laboratories to perform. We demonstrate the power of this process by engineering tissue building blocks in defined geometries, creating engineered tissues that encapsulate different cells (e.g., primary neurons, embryonic stem cells (ESCs), human umbilical vein endothelial cells (HUVECs), and fibroblasts) at specified locations throughout a single 3D tissue volume. We used the ability to rapidly synthesize tissue volumes of varying scale to examine how tissue volume governs neuron development.


Brain Research | 2013

Optogenetic drive of neocortical pyramidal neurons generates fMRI signals that are correlated with spiking activity.

Itamar Kahn; Ulf Knoblich; M. Desai; Jacob Bernstein; Ann M. Graybiel; Edward S. Boyden; Randy L. Buckner; Christopher I. Moore

Local fluctuations in the blood oxygenation level-dependent (BOLD) signal serve as the basis of functional magnetic resonance imaging (fMRI). Understanding the correlation between distinct aspects of neural activity and the BOLD response is fundamental to the interpretation of this widely used mapping signal. Analysis of this question requires the ability to precisely manipulate the activity of defined neurons. To achieve such control, we combined optogenetic drive of neocortical neurons with high-resolution (9.4 T) rodent fMRI and detailed analysis of neurophysiological data. Light-driven activation of pyramidal neurons resulted in a positive BOLD response at the stimulated site. To help differentiate the neurophysiological correlate(s) of the BOLD response, we employed light trains of the same average frequency, but with periodic and Poisson distributed pulse times. These different types of pulse trains generated dissociable patterns of single-unit, multi-unit and local field potential (LFP) activity, and of BOLD signals. The BOLD activity exhibited the strongest correlation to spiking activity with increasing rates of stimulation, and, to a first approximation, was linear with pulse delivery rate, while LFP activity showed a weaker correlation. These data provide an example of a strong correlation between spike rate and the BOLD response. This article is part of a Special Issue entitled Optogenetics (7th BRES).


International Mathematics Research Notices | 2015

Two-Dimensional Gradient Ricci Solitons Revisited

Jacob Bernstein; Thomas Mettler

In this note, we complete the classification of the geometry of non-compact two-dimensional gradient Ricci solitons. As a consequence, we obtain two corollaries: First, a complete two-dimensional gradient Ricci soliton has bounded curvature. Second, we give examples of complete two-dimensional expanding Ricci solitons with negative curvature that are topologically disks and are not hyperbolic space.

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Edward S. Boyden

Massachusetts Institute of Technology

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Lu Wang

University of Wisconsin-Madison

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Jorg Scholvin

Massachusetts Institute of Technology

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Ann M. Graybiel

McGovern Institute for Brain Research

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Clifton G. Fonstad

Massachusetts Institute of Technology

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Justin P. Kinney

Massachusetts Institute of Technology

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Christian T. Wentz

Massachusetts Institute of Technology

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