27 research outputs found

    The effect of pharmacological inhibition of Serine Proteases on neuronal networks in vitro

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    This work was supported by the European Union\u2019s Framework Programme for Research and Innovation (under the H2020 ETN grant n. 642881 to Stefanie Dedeurwaerdere, Pieter Van Der Veken, and Koen Augustyns; under the Specific Grant Agreement n. 785907 - Human Brain Project to Michele Giugliano; and under FP7 grants n. 286403 and n. 284801 to Michele Giugliano), the European Union\u2019s Research Area Networks (NEURON II to Stefanie Dedeurwaerdere), the Flemish Research Foundation (grants n. G0F1517N and n. K201619N to Michele Giugliano), the University of Antwerp (grant n. BOF-DOCPRO-2016 to Michele Giugliano), and the Scuola Internazionale Superiore di Studi Avanzati (\u2018\u2018Collaborazione di Eccellenza 2018\u2019\u2019 to Michele Giugliano). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

    Author Correction:A consensus protocol for functional connectivity analysis in the rat brain

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    A consensus protocol for functional connectivity analysis in the rat brain

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    Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience

    Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models : advantages and pitfalls

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    One of the main challenges in brain research is to link all aspects of brain function: on a cellular, systemic, and functional level. Multimodal neuroimaging methodology provides a continuously evolving platform. Being able to combine calcium imaging, optogenetics, electrophysiology, chemogenetics, and functional magnetic resonance imaging (fMRI) as part of the numerous efforts on brain functional mapping, we have a unique opportunity to better understand brain function. This review will focus on the developments in application of these tools within fMRI studies and highlight the challenges and choices neurosciences face when designing multimodal experiments

    The impact of selective and non-selective medial septum stimulation on hippocampal neuronal oscillations: A study based on modeling and experiments

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    Alzheimer's disease (AD) is a neurodegenerative disorder with a rising socioeconomic impact on societies. The hippocampus (HPC), which plays an important role in AD, is affected in the early stages. The medial septum (MS) in the forebrain provides major cholinergic input to the HPC and has been shown to play a significant role in generating oscillations in hippocampal neurons. Cholinergic neurons in the basal forebrain are particularly vulnerable to neurodegeneration in AD. To better understand the role of MS neurons including the cholinergic, glutamatergic, and GABAergic subpopulations in generating the well-known brain rhythms in HPC including delta, theta, slow gamma, and fast gamma oscillations, we designed a detailed computational model of the septohippocampal pathway. We validated the results of our model, using electrophysiological recordings in HPC with and without stimulation of the cholinergic neurons in MS using designer receptors exclusively activated by designer drugs (DREADDs) in healthy male ChAT-cre rats. Then, we eliminated 75% of the MS cholinergic neurons in the model to simulate degeneration in AD. A series of selective and non-selective stimulations of the remaining MS neurons were performed to understand the dynamics of oscillation regulation in the HPC during the degenerated state. In this way, appropriate stimulation strategies able to normalize the aberrant oscillations are proposed. We found that selectively stimulating the remaining healthy cholinergic neurons was sufficient for network recovery and compare this to stimulating other subpopulations and a non-selective stimulation of all MS neurons. Our data provide valuable information for the development of new therapeutic strategies in AD and a tool to test and predict the outcome of potential theranostic manipulations
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