@article {70084, title = {Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits}, journal = {bioRxiv}, year = {2025}, month = {2025 August 22}, abstract = {

All cells in an animal collectively ensure, moment-to-moment, the survival of the whole organism in the face of environmental stressors1,2. Physiology seeks to elucidate the intricate network of interactions that sustain life, which often span multiple organs, cell types, and timescales, but a major challenge lies in the inability to simultaneously record time-varying cellular activity throughout the entire body.We developed WHOLISTIC, a method to image second-timescale, time-varying intracellular dynamics across cell-types of the vertebrate body. By advancing and integrating volumetric fluorescence microscopy, machine learning, and pancellular transgenic expression of calcium sensors in transparent young Danio rerio (zebrafish) and adult Danionella, the method enables real-time recording of cellular dynamics across the organism. Calcium is a universal intracellular messenger, with a large array of cellular processes depending on changes in calcium concentration across varying time-scales, making it an ideal proxy of cellular activity3.Using this platform to screen the dynamics of all cells in the body, we discovered unexpected responses of specific cell types to stimuli, such as chondrocyte reactions to cold, meningeal responses to ketamine, and state-dependent activity, such as oscillatory ependymal-cell activity during periods of extended motor quiescence. At the organ scale, the method uncovered pulsating traveling waves along the kidney nephron. At the multi-organ scale, we uncovered muscle synergies and independencies, as well as muscle-organ interactions. Integration with optogenetics allowed us to all-optically determine the causal direction of brain-body interactions. At the whole-organism scale, the method captured the rapid brainstem-controlled redistribution of blood flow across the body.Finally, we advanced Whole-Body Expansion Microscopy4 to provide ground-truth molecular and ultrastructural anatomical context, explaining the spatiotemporal structure of activity captured by WHOLISTIC. Together, these innovations establish a new paradigm for systems biology, bridging cellular and organismal physiology, with broad implications for both fundamental research and drug discovery.

}, doi = {10.1101/2025.08.20.670374}, url = {https://www.biorxiv.org/content/early/2025/08/22/2025.08.20.670374.1}, author = {Ruetten, Virginia M. S. and Zheng, Wei and Siwanowicz, Igor and Mensh, Brett D. and Eddison, Mark and Hu, Amy and Chi, Yunfeng and Lemire, Andrew L. and Guo, Caiying and Kadobianskyi, Mykola and Renz, Marc and Lelek-Greskovic, Sara and He, Yisheng and Close, Kari and Ihrke, Gudrun and Dev, Aparna and Petruncio, Alyson and Wan, Yinan and Engert, Florian and Fishman, Mark C. and Judkewitz, Benjamin and Rubinov, Mikail and Keller, Philipp J. and Satou, Chie and Yu, Guoqiang and Tillberg, Paul W. and Sahani, Maneesh and Ahrens, Misha B.} } @article {69839, title = {Whole-brain, all-optical interrogation of neuronal dynamics underlying gut interoception in zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 30}, abstract = {

Internal signals from the body and external signals from the environment are processed by brain-wide circuits to guide behavior. However, the complete brain-wide circuit activity underlying interoception{\textemdash}the perception of bodily signals{\textemdash}and its interactions with sensorimotor circuits remain unclear due to technical barriers to accessing whole-brain activity at the cellular level during organ physiology perturbations. We developed an all-optical system for whole-brain neuronal imaging in behaving larval zebrafish during optical uncaging of gut-targeted nutrients and visuo-motor stimulation. Widespread neural activity throughout the brain encoded nutrient delivery, unfolding on multiple timescales across many specific peripheral and central regions. Evoked activity depended on delivery location and occurred with amino acids and D-glucose, but not L-glucose. Many gut-sensitive neurons also responded to swimming and visual stimuli, with brainstem areas primarily integrating gut and motor signals and midbrain regions integrating gut and visual signals. This platform links body-brain communication studies to brain-wide neural computation in awake, behaving vertebrates.

}, doi = {10.1101/2025.03.26.645305}, url = {https://www.biorxiv.org/content/early/2025/03/30/2025.03.26.645305}, author = {Chen, Weiyu and James, Ben and Ruetten, Virginia M. S. and Banala, Sambashiva and Wei, Ziqiang and Fleishman, Greg and Rubinov, Mikail and Fishman, Mark C. and Engert, Florian and Lavis, Luke D. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {69609, title = {Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale.}, journal = {PLoS Biol}, volume = {22}, year = {2024}, month = {2024 Sep 13}, pages = {e3002782}, abstract = {

An understanding of human brain individuality requires the integration of data on brain organization across people and brain regions, molecular and systems scales, as well as healthy and clinical states. Here, we help advance this understanding by leveraging methods from computational genomics to integrate large-scale genomic, transcriptomic, neuroimaging, and electronic-health record data sets. We estimated genetically regulated gene expression (gr-expression) of 18,647 genes, across 10 cortical and subcortical regions of 45,549 people from the UK Biobank. First, we showed that patterns of estimated gr-expression reflect known genetic-ancestry relationships, regional identities, as well as inter-regional correlation structure of directly assayed gene expression. Second, we performed transcriptome-wide association studies (TWAS) to discover 1,065 associations between individual variation in gr-expression and gray-matter volumes across people and brain regions. We benchmarked these associations against results from genome-wide association studies (GWAS) of the same sample and found hundreds of novel associations relative to these GWAS. Third, we integrated our results with clinical associations of gr-expression from the Vanderbilt Biobank. This integration allowed us to link genes, via gr-expression, to neuroimaging and clinical phenotypes. Fourth, we identified associations of polygenic gr-expression with structural and functional MRI phenotypes in the Human Connectome Project (HCP), a small neuroimaging-genomic data set with high-quality functional imaging data. Finally, we showed that estimates of gr-expression and magnitudes of TWAS were generally replicable and that the p-values of TWAS were replicable in large samples. Collectively, our results provide a powerful new resource for integrating gr-expression with population genetics of brain organization and disease.

}, issn = {1545-7885}, doi = {10.1371/journal.pbio.3002782}, url = {https://doi.org/10.1371/journal.pbio.3002782}, author = {Hoang, Nhung and Sardaripour, Neda and Ramey, Grace D and Schilling, Kurt and Liao, Emily and Chen, Yiting and Park, Jee Hyun and Bledsoe, Xavier and Landman, Bennett A and Gamazon, Eric R and Benton, Mary Lauren and Capra, John A and Rubinov, Mikail} } @article {68674, title = {Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena.}, journal = {Cell Reports}, volume = {42}, year = {2023}, month = {2023 Mar 24}, pages = {112254}, abstract = {

Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2023.112254}, author = {Nanda, Aditya and Johnson, Graham W and Mu, Yu and Ahrens, Misha B and Chang, Catie and Englot, Dario J and Breakspear, Michael and Rubinov, Mikail} } @article {67828, title = {A brainstem integrator for self-localization and positional homeostasis}, journal = {Cell}, volume = {185}, year = {2022}, month = {2022 Dec 22}, pages = {5011-5027.e20}, abstract = {

To accurately track self-location, animals need to integrate their movements through space. In amniotes, representations of self-location have been found in regions such as the hippocampus. It is unknown whether more ancient brain regions contain such representations and by which pathways they may drive locomotion. Fish displaced by water currents must prevent uncontrolled drift to potentially dangerous areas. We found that larval zebrafish track such movements and can later swim back to their earlier location. Whole-brain functional imaging revealed the circuit enabling this process of positional homeostasis. Position-encoding brainstem neurons integrate optic flow, then bias future swimming to correct for past displacements by modulating inferior olive and cerebellar activity. Manipulation of position-encoding or olivary neurons abolished positional homeostasis or evoked behavior as if animals had experienced positional shifts. These results reveal a multiregional hindbrain circuit in vertebrates for optic flow integration, memory of self-location, and its neural pathway to behavior.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2021.11.26.468907}, url = {https://www.biorxiv.org/content/early/2021/11/27/2021.11.26.468907}, author = {Yang, En and Zwart, Maarten F. and Rubinov, Mikail and James, Benjamin and Wei, Ziqiang and Narayan, Sujatha and Vladimirov, Nikita and Mensh, Brett D. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {65023, title = {Glia accumulate evidence that actions are futile and suppress unsuccessful behavior.}, journal = {Cell}, volume = {178}, year = {2019}, month = {2019 Jun 27}, pages = {27-43}, abstract = {

When a behavior repeatedly fails to achieve its goal, animals often give up and become passive, which can be strategic for preserving energy or regrouping between attempts. It is unknown how the brain identifies behavioral failures and mediates this behavioral-state switch. In larval zebrafish swimming in virtual reality, visual feedback can be withheld so that swim attempts fail to trigger expected visual flow. After tens of seconds of such motor futility, animals became passive for similar durations. Whole-brain calcium imaging revealed noradrenergic neurons that responded specifically to failed swim attempts and radial astrocytes whose calcium levels accumulated with increasing numbers of failed attempts. Using cell ablation and optogenetic or chemogenetic activation, we found that noradrenergic neurons progressively activated brainstem radial astrocytes, which then suppressed swimming. Thus, radial astrocytes perform a computation critical for behavior: they accumulate evidence that current actions are ineffective and consequently drive changes in behavioral states.

}, doi = {10.1016/j.cell.2019.05.050}, author = {Mu, Yu and Bennett, Davis V and Rubinov, Mikail and Narayan, Sujatha and Yang, Chao-Tsung and Tanimoto, Masashi and Mensh, Brett D and Looger, Loren L and Ahrens, Misha B} }