Publications by authors named "Henriette Lambers"

Introduction: Genetic Absence Epilepsy Rats from Strasbourg (GAERS) represent a model of genetic generalized epilepsy. The present longitudinal study in GAERS and age-matched non-epileptic controls (NEC) aimed to characterize the epileptic brain network using two functional measures, resting state-functional magnetic resonance imaging (rs-fMRI) and manganese-enhanced MRI (MEMRI) combined with morphometry, and to investigate potential brain network alterations, following long-term seizure activity.

Methods: Repeated rs-fMRI measurements at 9.

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BOLD fMRI has become a prevalent method to study cerebral sensory processing in rodent disease models, including pain and mechanical hypersensitivity. fMRI data analysis is frequently combined with a general-linear-model (GLM) -based analysis, which uses the convolution of a hemodynamic response function (HRF) with the stimulus paradigm. However, several studies indicated that the HRF differs across species, sexes, brain structures, and experimental factors, including stimulation modalities or anesthesia, and hence might strongly affect the outcome of BOLD analyzes.

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Article Synopsis
  • * It introduces StandardRat, a standardized fMRI acquisition protocol for rats that has been tested across 20 research centers to enhance data integration.
  • * The standardized protocol and processing pipeline improve the reliability of detecting functional connectivity patterns and are made publicly available to foster collaboration in the neuroimaging field.
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Introduction: Small animal fMRI is an essential part of translational research in the cognitive neurosciences. Due to small dimensions and animal physiology preclinical fMRI is prone to artifacts that may lead to misinterpretation of the data. To reach unbiased translational conclusions, it is, therefore, crucial to identify potential sources of experimental noise and to develop correction methods for contributions that cannot be avoided such as physiological noise.

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Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based recordings is hampered by massive confounding effects and has therefore been scarcely reported. We aim to investigate whether fiber-based lactate recordings in the rodent brain are feasible with FRET sensors and implement a correction algorithm for the predominant hemodynamic artifact.

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Article Synopsis
  • A study using resting state-fMRI examined brain networks in Genetic Absence Epilepsy Rats and nonepileptic controls while monitoring brain activity with optical Ca-recordings.
  • Graph theoretical analysis revealed key changes in network organization before and during seizures, including stronger connections between thalamic and limbic regions and a notable separation of cortical areas during seizures.
  • The retrosplenial cortex (RS) showed potential as a crucial hub in epilepsy due to increased connections and enhanced neuronal activity, making it a promising target for interventions aimed at managing seizures and related issues.
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For a reliable estimation of neuronal activation based on BOLD fMRI measurements an accurate model of the hemodynamic response is essential. Since a large part of basic neuroscience research is based on small animal data, it is necessary to characterize a hemodynamic response function (HRF) which is optimized for small animals. Therefore, we have determined and investigated the HRFs of rats obtained under a variety of experimental conditions in the primary somatosensory cortex.

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Functional blood-oxygenation-level-dependent (BOLD) MRI provides a brain-wide readout that depends on the hemodynamic response to neuronal activity. Diffusion fMRI has been proposed as an alternative to BOLD fMRI and has been postulated to directly rely on neuronal activity. These complementary functional readouts are versatile tools to be combined with optogenetic stimulation to investigate networks of the brain.

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