@article {70138, title = {The connectome interpreter toolkit}, journal = {bioRxiv}, year = {2025}, month = {2025 Sep 30}, abstract = {

Complete synaptic wiring diagrams, or connectomes, of whole brains open new opportunities for studying the structure-function relationship of neural circuits. However, the large number of nodes and edges in the graphs makes the analysis challenging. Here, we present the Connectome Interpreter (https://github.com/YijieYin/connectome_interpreter), an open-source software toolkit for efficient graph traversal to find polysynaptic pathways, compute the effective connectivity and receptive fields for arbitrarily deep neurons, slice out subcircuits, and non-linear but differentiable circuit modeling, implemented using efficient approaches tailored to the high density and size of connectomes such as that of the fruit fly Drosophila melanogaster. Our approach delivers results orders of magnitude faster than conventional methods in consumer computer hardware. We demonstrate the capabilities of our toolkit with select applications, including quantifying the density of polysynaptic connections in the whole adult fruit fly brain, exploring the necessity for non-linearities in circuit modeling, and combining known function of neurons with the connectome to aid in formulating hypotheses of circuit function.

}, doi = {10.1101/2025.09.29.679410}, url = {https://www.biorxiv.org/content/early/2025/09/30/2025.09.29.679410}, author = {Yin, Yijie and Hoeller, Judith and Mathiasen, Alexander and Tsang, Joanna and Charrier, Monique Estelle and Cardona, Albert} } @article {69985, title = {Cross-species comparative connectomics reveals the evolution of an olfactory circuit}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 11}, abstract = {

Animal behavioural diversity ultimately stems from variation in neural circuitry, yet how central neural circuits evolve remains poorly understood. Studies of neural circuit evolution often focus on a few elements within a network. However, addressing fundamental questions in evolutionary neuroscience, such as whether some elements are more evolvable than others, requires a more global and unbiased approach. Here, we used synapse-level comparative connectomics to examine how an entire olfactory circuit evolves. We compared the full antennal lobe connectome of the larvae of two closely related Drosophila species, D. melanogaster and D. erecta, which differ in their ecological niches and odour-driven behaviours. We found that evolutionary change is unevenly distributed across the network. Some features, including neuron types, neuron numbers and interneuron-to-interneuron connectivity, are highly conserved. These conserved elements delineate a core circuit blueprint presumably required for fundamental olfactory processing. Superimposed on this scaffold, we find rewiring changes that mirror each species ecologies, including a systematic shift in the excitation-to-inhibition balance in the feedforward pathways. We further show that some neurons have changed more than others, and that even within individual neurons some synaptic elements remain conserved while others display major species-specific changes, suggesting evolutionary hot-spots within the circuit. Our findings reveal constrained and adaptable elements within olfactory networks, and establish a framework for identifying general principles in the evolution of neural circuits underlying behaviour.

}, doi = {10.1101/2025.06.11.659158}, url = {https://www.biorxiv.org/content/early/2025/06/11/2025.06.11.659158}, author = {Roberts, Ruairi and Giez, Christoph and Dhawan, Serene and Pang, Song and Randel, Nadine and Zhiyuan, Lu and Gong, Hui and Dekens, Leonard and DiFrisco, James and Xu, C Shan and Hess, Harald and Zlatic, Marta and Cardona, Albert and Prieto-Godino, Lucia L.} } @article {67793, title = {Circuits for integrating learned and innate valences in the insect brain.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Nov 10}, abstract = {

Animal behavior is shaped both by evolution and by individual experience. Parallel brain pathways encode innate and learned valences of cues, but the way in which they are integrated during action-selection is not well understood. We used electron microscopy to comprehensively map with synaptic resolution all neurons downstream of all Mushroom Body output neurons (encoding learned valences) and characterized their patterns of interaction with Lateral Horn neurons (encoding innate valences) in larva. The connectome revealed multiple types that receive convergent Mushroom Body and Lateral Horn inputs. A subset of these receives excitatory input from positive-valence MB and LH pathways and inhibitory input from negative-valence MB pathways. We confirmed functional connectivity from LH and MB pathways and behavioral roles of two of these neurons. These neurons encode integrated odor value and bidirectionally regulate turning. Based on this we speculate that learning could potentially skew the balance of excitation and inhibition onto these neurons and thereby modulate turning. Together, our study provides insights into the circuits that integrate learned and innate valences to modify behavior.

}, issn = {2050-084X}, doi = {10.7554/eLife.62567}, author = {Eschbach, Claire and Fushiki, Akira and Winding, Michael and Afonso, Bruno and Andrade, Ingrid V and Cocanougher, Benjamin T and Eichler, Katharina and Gepner, Ruben and Si, Guangwei and Valdes-Aleman, Javier and Fetter, Richard D and Gershow, Marc and Jefferis, Gregory Sxe and Samuel, Aravinthan Dt and Truman, James W and Cardona, Albert and Zlatic, Marta} } @article {65810, title = {Comparative Connectomics Reveals How Partner Identity, Location, and Activity Specify Synaptic Connectivity in Drosophila.}, journal = {Neuron}, volume = {109}, year = {2021}, month = {2021 Jan 06}, pages = {105-22}, abstract = {

The mechanisms by which synaptic partners recognize each other and establish appropriate numbers of connections during embryonic development to form functional neural circuits are poorly understood. We combined electron microscopy reconstruction, functional imaging of neural activity, and behavioral experiments to elucidate the roles of (1) partner identity, (2) location, and (3) activity in circuit assembly in the embryonic nerve cord of Drosophila. We found that postsynaptic partners are able to find and connect to their presynaptic partners even when these have been shifted to ectopic locations or silenced. However, orderly positioning of axon terminals by positional cues and synaptic activity is required for appropriate numbers of connections between specific partners, for appropriate balance between excitatory and inhibitory connections, and for appropriate functional connectivity and behavior. Our study reveals with unprecedented resolution the fine connectivity effects of multiple factors that work together to control the assembly of neural circuits.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.10.004}, author = {Valdes-Aleman, Javier and Fetter, Richard D and Sales, Emily C and Heckman, Emily L and Venkatasubramanian, Lalanti and Doe, Chris Q and Landgraf, Matthias and Cardona, Albert and Zlatic, Marta} } @article {67225, title = {Comparative single-cell transcriptomics of complete insect nervous systems}, journal = {bioRxiv}, year = {2020}, month = {01/2020}, abstract = {

Molecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.

}, doi = {10.1101/785931}, url = {https://www.biorxiv.org/content/early/2020/01/16/785931}, author = {Cocanougher, Benjamin T. and Wittenbach, Jason D. and Long, Xi Salina and Kohn, Andrea B. and Norekian, Tigran P. and Yan, Jinyao and Colonell, Jennifer and Masson, Jean-Baptiste and Truman, James W. and Cardona, Albert and Turaga, Srinivas C. and Singer, Robert H. and Moroz, Leonid L. and Zlatic, Marta} } @article {65600, title = {The corazonin-PTTH neuronal axis controls systemic body growth by regulating basal ecdysteroid biosynthesis in Drosophila melanogaster.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Jun 8}, pages = {2156-65}, abstract = {

Steroid hormones play key roles in development, growth, and reproduction in various animal phyla [1]. The insect steroid hormone, ecdysteroid, coordinates growth and maturation, represented by molting and metamorphosis [2]. In Drosophila melanogaster, the prothoracicotropic hormone (PTTH)-producing neurons stimulate peak levels of ecdysteroid biosynthesis for maturation [3]. Additionally, recent studies on PTTH signaling indicated that basal levels of ecdysteroid negatively affect systemic growth prior to maturation [4-8]. However, it remains unclear how PTTH signaling is regulated for basal ecdysteroid biosynthesis. Here, we report that Corazonin (Crz)-producing neurons regulate basal ecdysteroid biosynthesis by affecting PTTH neurons. Crz belongs to gonadotropin-releasing hormone (GnRH) superfamily, implying an analogous role in growth and maturation [9]. Inhibition of Crz neuronal activity increased pupal size, whereas it hardly affected pupariation timing. This phenotype resulted from enhanced growth rate and a delay in ecdysteroid elevation during the mid-third instar larval (L3) stage. Interestingly, Crz receptor (CrzR) expression in PTTH neurons was higher during the mid- than the late-L3 stage. Silencing of CrzR in PTTH neurons increased pupal size, phenocopying the inhibition of Crz neuronal activity. When Crz neurons were optogenetically activated, a strong calcium response was observed in PTTH neurons during the mid-L3, but not the late-L3, stage. Furthermore, we found that octopamine neurons contact Crz neurons in the subesophageal zone (SEZ), transmitting signals for systemic growth. Together, our results suggest that the Crz-PTTH neuronal axis modulates ecdysteroid biosynthesis in response to octopamine, uncovering a regulatory neuroendocrine system in the developmental transition from growth to maturation.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.03.050}, author = {Imura, Eisuke and Shimada-Niwa, Yuko and Nishimura, Takashi and H{\"u}ckesfeld, Sebastian and Schlegel, Philipp and Ohhara, Yuya and Kondo, Shu and Tanimoto, Hiromu and Cardona, Albert and Pankratz, Michael J and Niwa, Ryusuke} } @article {49583, title = {Convergence of monosynaptic and polysynaptic sensory paths onto common motor outputs in a feeding connectome.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Dec 11}, abstract = {

We reconstructed, from a whole CNS EM volume, the synaptic map of input and output neurons that underlie food intake behavior of larvae. Input neurons originate from enteric, pharyngeal and external sensory organs and converge onto seven distinct sensory synaptic compartments within the CNS. Output neurons consist of feeding motor, serotonergic modulatory and neuroendocrine neurons. Monosynaptic connections from a set of sensory synaptic compartments cover the motor, modulatory and neuroendocrine targets in overlapping domains. Polysynaptic routes are superimposed on top of monosynaptic connections, resulting in divergent sensory paths that converge on common outputs. A completely different set of sensory compartments is connected to the mushroom body calyx. The mushroom body output neurons are connected to interneurons that directly target the feeding output neurons. Our results illustrate a circuit architecture in which monosynaptic and multisynaptic connections from sensory inputs traverse onto output neurons via a series of converging paths.

}, issn = {2050-084X}, doi = {10.7554/eLife.40247}, author = {Miroschnikow, Anton and Schlegel, Philipp and Schoofs, Andreas and Hueckesfeld, Sebastian and Li, Feng and Schneider-Mizell, Casey M and Fetter, Richard D and Truman, James W and Cardona, Albert and Pankratz, Michael J} } @article {48720, title = {The complete connectome of a learning and memory centre in an insect brain.}, journal = {Nature}, volume = {548}, year = {2017}, month = {2017 Aug 09}, pages = {175-182}, abstract = {

Associating stimuli with positive or negative reinforcement is essential for survival, but a complete wiring diagram of a higher-order circuit supporting associative memory has not been previously available. Here we reconstruct one such circuit at synaptic resolution, the Drosophila larval mushroom body. We find that most Kenyon cells integrate random combinations of inputs but that a subset receives stereotyped inputs from single projection neurons. This organization maximizes performance of a model output neuron on a stimulus discrimination task. We also report a novel canonical circuit in each mushroom body compartment with previously unidentified connections: reciprocal Kenyon cell to modulatory neuron connections, modulatory neuron to output neuron connections, and a surprisingly high number of recurrent connections between Kenyon cells. Stereotyped connections found between output neurons could enhance the selection of learned behaviours. The complete circuit map of the mushroom body should guide future functional studies of this learning and memory centre.

}, issn = {1476-4687}, doi = {10.1038/nature23455}, author = {Eichler, Katharina and Li, Feng and Litwin-Kumar, Ashok and Park, Youngser and Andrade, Ingrid and Schneider-Mizell, Casey M and Saumweber, Timo and Huser, Annina and Eschbach, Claire and Gerber, Bertram and Fetter, Richard D and Truman, James W and Priebe, Carey E and Abbott, L F and Thum, Andreas S and Zlatic, Marta and Cardona, Albert} } @article {48888, title = {Conserved neural circuit structure across Drosophila larva development revealed by comparative connectomics.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 Oct 23}, pages = {e29089}, abstract = {

During postembryonic development, the nervous system must adapt to a growing body. How changes in neuronal structure and connectivity contribute to the maintenance of appropriate circuit function remains unclear. In a previous paper (Schneider-Mizell et al., 2016), we measured the cellular neuroanatomy underlying synaptic connectivity in Drosophila. Here, we examined how neuronal morphology and connectivity change between 1st instar and 3rd instar larval stages using serial section electron microscopy. We reconstructed nociceptive circuits in a larva of each stage and found consistent topographically arranged connectivity between identified neurons. Five-fold increases in each size, number of terminal dendritic branches, and total number of synaptic inputs were accompanied by cell-type specific connectivity changes that preserved the fraction of total synaptic input associated with each presynaptic partner. We propose that precise patterns of structural growth act to conserve the computational function of a circuit, for example determining the location of a dangerous stimulus.

}, issn = {2050-084X}, doi = {10.7554/eLife.29089}, author = {Gerhard, Stephan and Andrade, Ingrid and Fetter, Richard D and Cardona, Albert and Schneider-Mizell, Casey M} } @article {47324, title = {A circuit mechanism for the propagation of waves of muscle contraction in Drosophila.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Feb 18}, abstract = {

Animals move by adaptively coordinating the sequential activation of muscles. The circuit mechanisms underlying coordinated locomotion are poorly understood. Here, we report on a novel circuit for propagation of waves of muscle contraction, using the peristaltic locomotion of Drosophila larvae as a model system. We found an intersegmental chain of synaptically connected neurons, alternating excitatory and inhibitory, necessary for wave propagation and active in phase with the wave. The excitatory neurons (A27h) are premotor and necessary only for forward locomotion, and are modulated by stretch receptors and descending inputs. The inhibitory neurons (GDL) are necessary for both forward and backward locomotion, suggestive of different yet coupled central pattern generators, and its inhibition is necessary for wave propagation. The circuit structure and functional imaging indicated that the commands to contract one segment promote the relaxation of the next segment, revealing a mechanism for wave propagation in peristaltic locomotion.

}, issn = {2050-084X}, doi = {10.7554/eLife.13253}, author = {Fushiki, Akira and Zwart, Maarten F and Kohsaka, Hiroshi and Fetter, Richard D and Cardona, Albert and Nose, Akinao} } @article {47935, title = {Competitive disinhibition mediates behavioral choice and sequences in Drosophila.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 Oct 5}, pages = {858-70}, abstract = {

Even a simple sensory stimulus can elicit distinct innate behaviors and sequences. During sensorimotor decisions, competitive interactions among neurons that promote distinct behaviors must ensure the selection and maintenance of one behavior, while suppressing others. The circuit implementation of these competitive interactions is still an open question. By combining comprehensive electron microscopy reconstruction of inhibitory interneuron networks, modeling, electrophysiology, and behavioral studies, we determined the circuit mechanisms that\ contribute to the Drosophila larval sensorimotor decision to startle, explore, or perform a sequence of the two in response to a mechanosensory stimulus. Together, these studies reveal that, early in sensory processing, (1) reciprocally connected feedforward inhibitory interneurons implement behavioral choice, (2) local feedback disinhibition provides positive feedback that consolidates and maintains the chosen behavior, and (3) lateral disinhibition promotes sequence transitions. The combination of these interconnected circuit motifs can implement both behavior selection and the serial organization of behaviors into a sequence.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2016.09.009}, author = {Jovanic, Tihana and Schneider-Mizell, Casey M and Shao, Mei and Masson, Jean-Baptiste and Denisov, Gennady and Fetter, Richard D and Mensh, Brett D and Truman, James W and Cardona, Albert and Zlatic, Marta} } @article {5653, title = {Current challenges in open-source bioimage informatics.}, journal = {Nature Methods}, volume = {9}, year = {2012}, month = {2012 Jul}, pages = {661-5}, abstract = {

We discuss the advantages and challenges of the open-source strategy in biological image analysis and argue that its full impact will not be realized without better support and recognition of software engineers{\textquoteright} contributions to the biological sciences and more support of this development model from funders and institutions.

}, keywords = {Algorithms, Computational Biology, Computer-Assisted, Image Processing, Information Dissemination, Internet, Software, Software Design}, issn = {1548-7105}, doi = {10.1038/nmeth.2082}, author = {Cardona, Albert and Tomancak, Pavel} } @article {5817, title = {CATMAID: collaborative annotation toolkit for massive amounts of image data.}, journal = {Bioinformatics}, volume = {25}, year = {2009}, month = {2009 Aug 1}, pages = {1984-6}, abstract = {

SUMMARY: High-resolution, three-dimensional (3D) imaging of large biological specimens generates massive image datasets that are difficult to navigate, annotate and share effectively. Inspired by online mapping applications like GoogleMaps, we developed a decentralized web interface that allows seamless navigation of arbitrarily large image stacks. Our interface provides means for online, collaborative annotation of the biological image data and seamless sharing of regions of interest by bookmarking. The CATMAID interface enables synchronized navigation through multiple registered datasets even at vastly different scales such as in comparisons between optical and electron microscopy. AVAILABILITY: http://fly.mpi-cbg.de/catmaid.

}, keywords = {Algorithms, Computational Biology, Computer Graphics, Database Management Systems, Databases, Factual, Imaging, Information Storage and Retrieval, Software, Three-Dimensional}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btp266}, author = {Saalfeld, Stephan and Cardona, Albert and Hartenstein, Volker and Tomancak, Pavel} }