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Robichaux-Viehoever, A.

Publications and source records attributed to Robichaux-Viehoever, A..

2 recordsLinked to original sources

A mechanistic classification of GNAO1 mutations links Gβ γ sequestration to hyperkinetic disease and treatment response

Go is the most prevalent G protein subunit in the brain and is critical for signal transduction through G protein-coupled receptors. Mutations in the gene encoding Go (GNAO1) cause a rare neurodevelopmental disorder with involuntary movements (NEDIM) and, in some patients, developmental and epileptic encephalopathy (DEE). Here, we integrate human genetic analysis with cellular assays to define mechanistic classes of GNAO1 mutations and in vivo approaches to evaluate therapeutic strategies. We grouped variants into two functional categories: those predicted to sequester G{beta}{gamma} and those with reduced Go expression and therefore increased G{beta}{gamma} signaling. Analysis of patient data revealed that mutations predicted to impair G{beta}{gamma} release are significantly associated with NEDIM. Using the GNAO1R209H/+ mouse as a model of NEDIM, we evaluated two small molecules: caffeine, a nonselective adenosine receptor antagonist, and gallein, a selective modulator of G{beta}{gamma}-effector interactions. Both compounds significantly reduced hyperlocomotion in the open field test. Whole-cell patch-clamp electrophysiology revealed sex- and cell type-specific hyperexcitability in spiny projection neurons within the dorsolateral striatum of GNAO1R209H/+ mice. Together, these findings implicate dysfunction of dorsolateral striatal pathways in GNAO1-related disorder and suggest that mechanistic understanding of disease variants can guide targeted therapeutic strategies.

pharmacology and toxicology↗

Global Motion Detection and Censoring in High-Density Diffuse Optical Tomography

Motion-induced artifacts can significantly corrupt optical neuroimaging, as in most neuroimaging modalities. For high-density diffuse optical tomography (HD-DOT) with hundreds to thousands of source-detector pair measurements, motion detection methods are underdeveloped relative to both functional magnetic resonance imaging (fMRI) and standard functional near-infrared spectroscopy (fNIRS). This limitation restricts the application of HD-DOT in many challenging situations and subject populations (e.g., bedside monitoring and children). Here, we evaluate a new motion detection method for multichannel optical imaging systems that leverages spatial patterns across channels. Specifically, we introduce a global variance of temporal derivatives (GVTD) metric as a motion detection index. We show that GVTD strongly correlates with external measures of motion and has high sensitivity and specificity to instructed motion - with area under the receiver operator characteristic curve of 0.88, calculated based on five different types of instructed motion. Additionally, we show that applying GVTD-based motion censoring on both task and resting state HD-DOT data with natural head motion results in an improved spatial similarity to fMRI mapping for the same respective protocols (task or rest). We then compare the GVTD similarity scores with several commonly used motion correction methods described in the fNIRS literature, including correlation-based signal improvement (CBSI), temporal derivative distribution repair (TDDR), wavelet filtering, and targeted principal component analysis (tPCA). We find that GVTD motion censoring outperforms other methods and results in spatial maps more similar to matched fMRI data.

neuroscience↗