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Blinder, P.

Publications and source records attributed to Blinder, P..

6 recordsLinked to original sources

NaviGraph

Understanding spatial decision-making requires interpreting multimodal data streams through a unified analytical lens that relates them to one another and to the layout of the underlying task. We developed NaviGraph (Navigation on the Graph), an open-source framework that formalizes spatial tasks as graphs to provide a topological scaffold for data integration. This approach solves the challenge of aligning disparate data streams while standardizing spatial analysis across diverse laboratories and behavioral paradigms. NaviGraph transforms decision points into nodes and paths into edges, enabling the computation of both conventional and graph-based metrics, such as unique node exploration and trajectory efficiency. We demonstrate its utility and enhanced sensitivity through a complex memory task, where graph-derived metrics revealed subtle recall impairments in female Apolipoprotein E {varepsilon}4 (ApoE4) mice - the primary genetic risk factor for Alzheimers disease - that were undetectable by conventional measures alone. We further illustrate multimodal alignment by mapping retrosplenial cortex calcium imaging and head orientation onto the graph structure, offering a topological perspective on decision-point dynamics. With its modular, plugin-based architecture, NaviGraph provides a standardized environment for the exploration of multimodal data across diverse spatial paradigms.

neuroscience↗

Travelling waves or sequentially activated discrete modules: mapping the granularity of cortical propagation

Numerous studies have identified travelling waves in the cortex and suggested they play important roles in brain processing. These waves are most often measured using macroscopic methods that are unable to assess the local spiking activity underlying wave dynamics. Here we investigated the possibility that waves may not be travelling at the single neuron scale. We first show that sequentially activating two discrete brain areas can appear as travelling waves in EEG simulations. We next reproduce these results using an analytical model of two sequentially activated regions. Using this model, we were able to generate wave-like activity with variable directions, velocities, and spatial patterns, and to map the discriminability limits between travelling waves and modular sequential activations. Finally, we investigated the link between field potentials and single neuron excitability using large-scale measurements from turtle cortex ex-vivo. We found that while field potentials exhibit wave-like dynamics, the underlying spiking activity was better described by consecutively activated spatially adjacent groups of neurons. Taken together, this study suggests caution when interpreting phase delay measurements as continuously propagating wavefronts in two different spatial scales. A careful distinction between modular and wave excitability profiles across scales will be critical for understanding the nature of cortical computations.

neuroscience↗

Neural Collision Detection: an open source library to study the three-dimensional interactions of neurons and other tree-like structures

AO_SCPLOWBSTRACTC_SCPLOWThe analysis of neuronal structure and its relation to function has become a fundamental pillar in neuroscience since its earliest days, with the underlying premise that morphological properties can modulate neuronal computations. It is often the case that the rich three-dimensional structure of neurons is quantified by tools developed in other fields, such as graph theory and computational geometry; nevertheless, some of the more advanced tools developed in these fields have not yet been made accessible to the neuroscience community. Here we present Neural Collision Detection, a library providing high-level interfaces to collision-detection routines and alpha shape calculations, as well as statistical analysis and visualizations for 3D objects, with the aim to lower the entry gap for neuroscientists into these worlds. Our work here also demonstrates a variety of use cases for the library and exemplary analysis and visualizations that were carried out with it on real neuronal and vascular data.

neuroscience↗

Prophylactic TLR9 stimulation reduces brain metastasis through microglia activation

Brain metastases are prevalent in various types of cancer, and are often terminal given low efficacy of available therapies. Therefore, preventing them is of outmost clinical relevance and prophylactic treatments are perhaps the most efficient strategy. Here, we show that systemic prophylactic administration of a TLR9 agonist, CpG-C, is effective against brain metastases. Acute and chronic systemic administration of CpG-C reduced tumor cell seeding and growth in the brain in three tumor models in mice, including metastasis of human and mouse lung cancer, and spontaneous melanoma-derived brain metastasis. Studying mechanisms underlying the therapeutic effects of CpG-C, we found that in the brain, unlike in the periphery, NK cells and monocytes are not involved in controlling metastasis. Next, we demonstrated that the systemically administered CpG-C is taken up by endothelial cells, astrocytes, and microglia, without affecting blood-brain barrier integrity and tumor brain extravasation. In vitro assays pointed to microglia, but not astrocytes, as mediators of CpG-C effects through increased tumor killing and phagocytosis, mediated by direct microglia-tumor contact. In vivo, CpG-C-activated microglia displayed elevated mRNA expression levels of apoptosis-inducing and phagocytosis-related genes. Intravital imaging showed that CpG-C-activated microglia cells contact, kill, and phagocytize tumor cells in the early stages of tumor brain invasion more than non-activated microglia. Blocking in vivo activation of microglia with minocycline, and depletion of microglia with a colony-stimulating factor 1 inhibitor, indicated that microglia mediate the anti-tumor effects of CpG-C. Overall, the results suggest prophylactic CpG-C treatment as a new intervention against brain metastasis, through an essential activation of microglia. SummaryBrain metastases are prevalent and often terminal. Thus, reducing their occurrence could markedly improve cancer outcome. We show that systemic prophylactic and perioperative administration of a TLR9 agonist, CpG-C, reduced metastatic growth in experimental and spontaneous brain metastasis models, employing mouse and human tumors. CpG-C was taken up in the brain, without affecting blood-brain barrier integrity and tumor extravasation. In vitro assays, imaging flow cytometry, and intravital imaging pointed to microglia as mediators of CpG-C effects through contact-dependent tumor killing and phagocytosis; corresponding with in vivo mRNA profile. In vivo depletion studies proved that microglia, but not NK cells or monocytes, mediated the beneficial effects of CpG-C; Also hindered by blocking microglial activation. In-toto, perioperative treatment with CpG-C should be considered clinically relevant. SignificancePreventing brain metastases is paramount, as they are considered incurable and their incidence is on the rise due to prolonged survival of cancer patients. Here, we demonstrate that systemic prophylactic treatment with CpG-C reduces peripheral and brain metastasis of mouse and human lung cancers. While traditional therapies are halted during the perioperative period, we found systemic CpG-C treatment during this time frame beneficial in a model of spontaneous brain metastases following excision of a primary melanoma tumor, comprehensively mimicking the clinical setting. Mechanistically, we show microglia activation with CpG-C results in tumor cell eradication, pointing to microglia as potential therapeutic targets. Importantly, CpG-ODNs have negligible toxicity in humans. Therefore, CpG-C may be used prophylactically and during the perioperative period in high-risk cancers.

neuroscience↗

Cortical microinfarcts caused by single penetrating vessel occlusion lead to widespread reorganization across the entire brain in a CX3CR1 dependent manner

1. Introduction 1. Introduction 2. Results 3. Discussion 4. Methods and Materials 6. Author Contribution 7. Competing interests References Dementia, and the associated cognitive impairment that goes along with it, have been attributed to a plethora of different mechanisms. As proper brain function is tightly coupled with the on-demand supply of oxygen and nutrients to active areas, perturbation to blood flow and the resulting neurovas-cular uncoupling play a crucial role in the ethology of these pathologies [1, 2, 3], even before the onset of the clinical symptoms [4]. Although research has traditionally focused on systemic and large-scale perturbations such as hypertension and stroke, cortical microinfarcts emerge nowaday ...

neuroscience↗

PySight: plug and play photon counting for fast intravital microscopy

Imaging increasingly large neuronal populations at high rates pushed multi-photon microscopy into the photon-deprived regime. We present PySight, an add-on hardware and software solution tailored for photon-deprived imaging conditions. PySight more than triples the median amplitude of neuronal calcium transients in awake mice, and facilitates single-trial intravital voltage imaging in fruit flies. Its unique data streaming architecture allowed us to image a fruit flys olfactory response over 234 x; 600 x; 330{micro}m3 at 73 volumes per second, outperforming top-tier imaging setups while retaining over 200 times lower data rates. PySight requires no electronics expertise nor custom synchronization boards, and its open-source software is extensible to any imaging method based on single-pixel (bucket) detectors. PySight offers an optimal data acquisition scheme for ever increasing imaging volumes of turbid living tissue.

neuroscience↗