Nivanthika K. Wimalasena

Nav1.7 gain-of-function mutation I228M triggers age-dependent nociceptive insensitivity and C-LTMR dysregulation

Nivanthika K. Wimalasena, Daniel G. Taub, Jaehoon Shim, Sara Hakim et autres

Gain-of-function mutations in Scn9a, which encodes the peripheral sensory neuron-enriched voltage-gated sodium channel Nav1.7, cause paroxysmal extreme pain disorder (PEPD), inherited erythromelalgia (IEM), and small fiber neuropathy (SFN). Conversely, loss-of-function mutations in the gene are linked to congenital insensitivity to pain (CIP). …

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Automated preclinical detection of mechanical pain hypersensitivity and analgesia

Zihe Zhang, David P. Roberson, Masakazu Kotoda, Bruno Boivin et autres

ABSTRACT: The lack of sensitive and robust behavioral assessments of pain in preclinical models has been a major limitation for both pain research and the development of novel analgesics. Here, we demonstrate a novel data acquisition and analysis platform that provides automated, …

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DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

James P. Bohnslav, Nivanthika K. Wimalasena, Kelsey J. Clausing, Yu Dai et autres

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored manually, which is time-consuming, limited to few behaviors, and variable across researchers. We created DeepEthogram: …

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Dissecting the precise nature of itch-evoked scratching

Nivanthika K. Wimalasena, George Milner, Ricardo Silva, Cliff Vuong et autres

Itch is a discrete and irritating sensation tightly coupled to a drive to scratch. Acute scratching developed evolutionarily as an adaptive defense against skin irritants, pathogens, or parasites. In contrast, the itch-scratch cycle in chronic itch is harmful, inducing escalating itch and …

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Hind paw trajectories from high-speed video of scratching

Nivanthika K. Wimalasena

Raw trajectory data from high speed recording of scratching behavior

Author response: DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

James P. Bohnslav, Nivanthika K. Wimalasena, Kelsey J. Clausing, Yu Dai et autres

Videos capture events that typically contain multiple sequential, and simultaneous, actions even in the span of only a few seconds.However, most large-scale datasets built to train models for action recognition in video only provide a single label per video.Consequently, models can be …

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Automated Detection of Mouse Pain Behavioral Readouts by Alternating Bottom-Up Pose and Paw Contact Measurements

David P. Roberson, Zihe Zhang, Bruno Boivin, James P. Bohnslav et autres

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Two independent mouse lines carrying the Nav1.7 I228M gain-of-function variant display dorsal root ganglion neuron hyperexcitability but a minimal pain phenotype

Lubin Chen, Nivanthika K. Wimalasena, Jaehoon Shim, Chongyang Han et autres

ABSTRACT: Small-fiber neuropathy (SFN), characterized by distal unmyelinated or thinly myelinated fiber loss, produces a combination of sensory dysfunction and neuropathic pain. Gain-of-function variants in the sodium channel Nav1.7 that produce dorsal root ganglion (DRG) neuron hyperexcitability are present in 5% to …

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DeepEthogram: a machine learning pipeline for supervised behavior classification from raw pixels

James P. Bohnslav, Nivanthika K. Wimalasena, Kelsey J. Clausing, David Yarmolinksy et autres

Abstract Researchers commonly acquire videos of animal behavior and quantify the prevalence of behaviors of interest to study nervous system function, the effects of gene mutations, and the efficacy of pharmacological therapies. This analysis is typically performed manually and is therefore immensely …

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Gene Expression-Based Screen for Parkinson’s Disease Identifies GW8510 as a Neuroprotective Agent

Nivanthika K. Wimalasena, Viet Q. Le, Kandatege Wimalasena, Stuart L. Schreiber et autres

We carried out a gene expression-based in silico screen in order to identify small molecules with gene-expression profiles that are anticorrelated with a gene-expression profile for Parkinson's disease (PD). We identified the cyclin-dependent kinase 2/5 (CDK2/5) inhibitor GW8510 as our most significant …

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