Bio-Informatics ePosters

Recent large-scale community effort has produced comprehensive mapping of neurons and chemical synapses in both the Drosophila larva and adult brains (‘connectomes’). In addition, the neurotransmitter expression of each neuron can be predicted using a machine learning algorithm. However, interpreting connectomics data…

We present a comprehensive dataset of neural activity, compiled from 11 neuroimaging experiments in the nematode worm C. elegans. These source datasets, while collected under different experimental protocols, all measure neural activity via changes in calcium fluorescence in labeled subsets of the hermaphrodite worm’s…

Ongoing neural activity fluctuates over a broad range of timescales. Variations in intrinsic timescales across the forebrain relate to the functional specialization of cortical areas along the visual hierarchy [1, 2]. Furthermore, these timescales adapt to task demands, for example, during selective attention [3] and…

SP4 gene is one of the two risk genes implicated in schizophrenia in recent large unpublished case-controlled genomic and exomic sequencing studies. Data on Spatio-temporal SP4 expression in the brain and it's biological functions are sparse in published literature. Bulk RNA sequencing and single-cell high-resolution…

OBJECTIVE: Alzheimer's disease (AD) stands as the prevalent neurodegenerative condition globally, characterized by symptoms such as memory loss, language difficulties, disorientation, diminished motivation, self-neglect, mood fluctuations, and behavioral challenges. Despite its widespread impact, the precise cellular…

Investigations of transcriptomic and neuroimaging data imply that the spatial patterning of the brain transcriptome follows broad spatial trends in the brain network architecture, which can be used to study the molecular mechanisms of functional connectivity. However, the sophisticated pre-processing and data fusion…

Alzheimer’s disease (AD) is the most common and progressive type of brain disorder that affects parts of the brain responsible for memory, speaking, thinking, and many other important functions. Apart from its common risk factors such as aging, environment, and lifestyle elements, the risk of developing AD largely…

Octopuses are an emerging model organism in neurobiology due to their unique nervous system and capacity for intelligence. However, due to this novelty, nothing is currently known about many of their receptors, including those involved in neuromodulation. Given the historical significance of dopamine action in the…

Joint exploration of behavior, genes and brain structure holds the promise to provide a better understanding of neural circuits than unimodal data analyses. Several consortia provide extensive data resources of different modalities. However, analyses of heteromodal data require the expertise of computer scientists for…

Aims: Metabolic profile impacts on tissue development including neurons in brain, yet the full repertoire of metabolic signals that shape developing neuronal architecture remain mysterious. Our aim is to clarify the metabolic crosstalk that coordinates the early acquisition of the neurite complexity in developing…

The analysis of effective connectivity in neuronal networks has become an essential tool for understanding the underlying mechanisms of information transfer in neural circuits. However, its interpretation is not always straightforward, and it can be masked by the presence of artifacts.We scrutinized calcium imaged…

Quantitative microscopy workflows have evolved dramatically over the last years, progressively becoming more complex with the emergence of deep learning. Long-standing challenges like 3D segmentation of dense microscopy data can finally be addressed, and new imaging modalities are breaking records in both resolution…

The striking diversity of cells in the mammalian brain lies in stark contrast with the uniformity of cells in theoretical models and artificial networks. What computational advantage do these myriad cell types provide? Deciphering their roles first requires organizing cells in the appropriate manner. Typically, cells…

Autism Spectrum Disorder (ASD) describes a diverse group of neurodevelopmental disorders encompassing a wide range of clinical impairments. The two core symptoms that define ASD are social communication impairments and restricted and repetitive behaviors, and there is a wide range of cognitive and language abilities.…

The structure of neural circuitry plays a crucial role in brain function. Previous studies of brain organization generally had to trade off between coarse descriptions at a large scale and fine descriptions on a small scale. Researchers have now reconstructed tens to hundreds of thousands of neurons at synaptic…

Inhibitory interneurons in cortex consist of many subtypes that differ in, e.g., connectivity and physiology. Recently, it was shown that —in layers 1-3 of mouse primary visual cortex— interneuron subtypes differ systematically in their modulation with an animal’s behavioural state, and that this state modulation can…

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used bioinformatics method that defines gene clusters (modules) based on correlated expression levels, allowing users to study relationships between modules, define groups of genes subserving common biological functions, and compare network topologies…

During brain development, billions of axons navigate over multiple spatial scales to reach specific targets, and so form functional circuits. However, the limited information capacity of the zygotic genome puts a strong constraint on how, and which, axonal routes can be encoded. We propose and validate a mechanism of…

To understand how the brain is wired calls for investigating how the brain's wiring information (the connectome) is encoded in the genome. From small insects to humans, the apparent complexity of biological neural networks, in particular the information amount required to describe all connections in the connectome,…