Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics

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Functionalised iron oxide nanoparticles for multimodal optoacoustic and magnetic resonance imaging

The novel attachment of the optoacoustic (OA) molecules indocyanine green (ICG) and Flamma®774 to the core of an iron oxide (Fe3O4) nanoparticle has resulted in the facile synthesis of a multimodal imaging probe for both multispectral optoacoustic tomography (MSOT) imaging and magnetic resonance imaging (MRI). The nanoparticles have been analysed structurally, optically and magnetically to demonstrate the multimodal characteristics. The OA analysis of the dyes ICG and Flamma®774 showed that they have absorbance at the near IR wavelengths of 790 and 780 nm, respectively, when conjugated to an iron oxide core. These wavelengths are ideal for spectral unmixing of the probe intensity from any endogenous contrast, such as oxy-(HbO2) and deoxy-hemoglobin (Hb). MRI showed that citrate capped Fe3O4 exhibited a good r2 contrast of 230 mM−1 s−1, which is in line with literature values. Upon optoacoustic dye modification, the r2 relaxivity coefficient is comparable with that of Flamma®774 iron oxide nanoparticles (FeO-774) with r2 = 212 mM−1 s−1, showing that an OA dye attachment can have little to no effect on the MRI contrast. Indocyanine green functionalised iron oxide (FeO-ICG) nanoparticles showed an r2 contrast that was dramatically reduced with r2 = 5 mM−1 s−1. These results indicate that the facile synthesis of an effective dual modality MRI–MSOT probe can be developed using an iron oxide core and simple ligand coordination chemistry using an optoacoustic dye

Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization

International audienceAnimal whole-brain functional magnetic resonance imaging (fMRI) provides a noninvasive window into brain activity. A collection of associated methods aims to replicate observations made in humans and to identify the mechanisms underlying the distributed neuronal activity in the healthy and disordered brain. Animal fMRI studies have developed rapidly over the past years, fueled by the development of resting-state fMRI connectivity and genetically encoded neuromodulatory tools. Yet, comparisons between sites remain hampered by lack of standardization. Recently, we highlighted that mouse resting-state functional connectivity converges across centers, although large discrepancies in sensitivity and specificity remained. Here, we explore past and present trends within the animal fMRI community and highlight critical aspects in study design, data acquisition, and post-processing operations, that may affect the results and influence the comparability between studies. We also suggest practices aimed to promote the adoption of standards within the community and improve between lab reproducibility. The implementation of standardized animal neuroimaging protocols will facilitate animal population imaging efforts as well as meta-analysis and replicationstudies, the gold standards in evidence-based science

The lateral entorhinal cortex is a hub for local and global dysfunction in early Alzheimer's disease states

10.1177/0271678X221082016JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM4291616-163

The lateral entorhinal cortex is a hub for local and global dysfunction in early Alzheimer's disease states

Functional network activity alterations are one of the earliest hallmarks of Alzheimer’s disease (AD), detected prior to amyloidosis and tauopathy. Better understanding the neuronal underpinnings of such network alterations could offer mechanistic insight into AD progression. Here, we examined a mouse model (3xTgAD mice) recapitulating this early AD stage. We found resting functional connectivity loss within ventral networks, including the entorhinal cortex, aligning with the spatial distribution of tauopathy reported in humans. Unexpectedly, in contrast to decreased connectivity at rest, 3xTgAD mice show enhanced fMRI signal within several projection areas following optogenetic activation of the entorhinal cortex. We corroborate this finding by demonstrating neuronal facilitation within ventral networks and synaptic hyperexcitability in projection targets. 3xTgAD mice, thus, reveal a dichotomic hypo-connected:resting versus hyper-responsive:active phenotype. This strong homotopy between the areas affected supports the translatability of this pathophysiological model to tau-related, early-AD deficits in humans

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

Preclinical applications of resting-state functional magnetic resonance imaging (rsfMRI) offer the possibility to non-invasively probe whole-brain network dynamics and to investigate the determinants of altered network signatures observed in human studies. Mouse rsfMRI has been increasingly adopted by numerous laboratories worldwide. Here we describe a multi-centre comparison of 17 mouse rsfMRI datasets via a common image processing and analysis pipeline. Despite prominent cross-laboratory differences in equipment and imaging procedures, we report the reproducible identification of several large-scale resting-state networks (RSN), including a mouse default-mode network, in the majority of datasets. A combination of factors was associated with enhanced reproducibility in functional connectivity parameter estimation, including animal handling procedures and equipment performance. RSN spatial specificity was enhanced in datasets acquired at higher field strength, with cryoprobes, in ventilated animals, and under medetomidine-isoflurane combination sedation. Our work describes a set of representative RSNs in the mouse brain and highlights key experimental parameters that can critically guide the design and analysis of future rodent rsfMRI investigations

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis

International audiencePreclinical applications of resting-state functional magnetic resonance imaging (rsfMRI) offer the possibility to non-invasively probe whole-brain network dynamics and to investigate the determinants of altered network signatures observed in human studies. Mouse rsfMRI has been increasingly adopted by numerous laboratories worldwide. Here we describe a multi-centre comparison of 17 mouse rsfMRI datasets via a common image processing and analysis pipeline. Despite prominent cross-laboratory differences in equipment and imaging procedures, we report the reproducible identification of several large-scale resting-state networks (RSN), including a mouse default-mode network, in the majority of datasets. A combination of factors was associated with enhanced reproducibility in functional connectivity parameter estimation, including animal handling procedures and equipment performance. RSN spatial specificity was enhanced in datasets acquired at higher field strength, with cryoprobes, in ventilated animals, and under medetomidine-isoflurane combination sedation. Our work describes a set of representative RSNs in the mouse brain and highlights key experimental parameters that can critically guide the design and analysis of future rodent rsfMRI investigations