@article {2480, title = {Dopamine signaling regulates predator-driven changes in egg laying behavior.}, journal = {Elife}, volume = {12}, year = {2023}, month = {2023 Jul 11}, abstract = {

Prey respond to predators by altering their behavior to optimize their own fitness and survival. Specifically, prey are known to avoid predator-occupied territories to reduce their risk of harm or injury to themselves and their progeny. We probe the interactions between and its naturally cohabiting predator to reveal the pathways driving changes in prey behavior. While prefers to lay its eggs on a bacteria food lawn, the presence of a predator inside a lawn induces to lay more eggs away from that lawn. We confirm that this change in egg laying is in response to bites from predators, rather than to predatory secretions. Moreover, predator-exposed prey continue to lay their eggs away from the dense lawn even after the predator is removed, indicating a form of learning. Next, we find that mutants in dopamine synthesis significantly reduce egg laying behavior off the lawn in both predator-free and predator-inhabited lawns, which we can rescue by transgenic complementation or supplementation with exogenous dopamine. Moreover, we find that dopamine is likely released from multiple dopaminergic neurons and requires combinations of both D1- (DOP-1) and D2-like (DOP-2 and DOP-3) dopamine receptors to alter predator-induced egg laying behavior, whereas other combinations modify baseline levels of egg laying behavior. Together, we show that dopamine signaling can alter both predator-free and predator-induced foraging strategies, suggesting a role for this pathway in defensive behaviors.

}, keywords = {Animals, Caenorhabditis elegans, Dopamine, Eggs, Receptors, Dopamine, Signal Transduction}, issn = {2050-084X}, doi = {10.7554/eLife.83957}, author = {Pribadi, Amy and Rieger, Michael A and Rosales, Kaila and Reddy, Kirthi C and Chalasani, Sreekanth H} } @article {2220, title = {Differential mechanisms underlie trace and delay conditioning in Drosophila.}, journal = {Nature}, year = {2022}, month = {2022 Feb 16}, abstract = {

Two forms of associative learning-delay conditioning and trace conditioning-have been widely investigated in humans and higher-order mammals. In delay conditioning, an unconditioned stimulus (for example, an electric shock) is introduced in the final moments of a conditioned stimulus (for example, a tone), with both ending at the same time. In trace conditioning, a {\textquoteright}trace{\textquoteright} interval separates the conditioned stimulus and the unconditioned stimulus. Trace conditioning therefore relies on maintaining a neural representation of the conditioned stimulus after its termination (hence making distraction possible), to learn the conditioned stimulus-unconditioned stimulus contingency; this makes it more cognitively demanding than delay conditioning. Here, by combining virtual-reality behaviour with neurogenetic manipulations and in vivo two-photon brain imaging, we show that visual trace conditioning and delay conditioning in Drosophila mobilize R2 and R4m ring neurons in the ellipsoid body. In trace conditioning, calcium transients during the trace interval show increased oscillations and slower declines over repeated training, and both of these effects are sensitive to distractions. Dopaminergic activity accompanies signal persistence in ring neurons, and this is decreased by distractions solely during trace conditioning. Finally, dopamine D1-like and D2-like receptor signalling in ring neurons have different roles in delay and trace conditioning; dopamine D1-like receptor 1 mediates both forms of conditioning, whereas the dopamine D2-like receptor is involved exclusively in sustaining ring neuron activity during the trace interval of trace conditioning. These observations are similar to those previously reported in mammals during arousal, prefrontal activation and high-level cognitive learning.

}, issn = {1476-4687}, doi = {10.1038/s41586-022-04433-6}, author = {Grover, Dhruv and Chen, Jen-Yung and Xie, Jiayun and Li, Jinfang and Changeux, Jean-Pierre and Greenspan, Ralph J} } @article {2188, title = {Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases.}, journal = {Science}, volume = {375}, year = {2022}, month = {2022 02 04}, pages = {522-528}, abstract = {

To determine the impact of genetic variants on the brain, we used genetically informed brain atlases in genome-wide association studies of regional cortical surface area and thickness in 39,898 adults and 9136 children. We uncovered 440 genome-wide significant loci in the discovery cohort and 800 from a post hoc combined meta-analysis. Loci in adulthood were largely captured in childhood, showing signatures of negative selection, and were linked to early neurodevelopment and pathways associated with neuropsychiatric risk. Opposing gradations of decreased surface area and increased thickness were associated with common inversion polymorphisms. Inferior frontal regions, encompassing Broca{\textquoteright}s area, which is important for speech, were enriched for human-specific genomic elements. Thus, a mixed genetic landscape of conserved and human-specific features is concordant with brain hierarchy and morphogenetic gradients.

}, keywords = {Adult, Aged, Aged, 80 and over, Cerebral Cortex, Child, Chromatin, Cohort Studies, Female, Gene Ontology, Genetic Association Studies, Genetic Loci, Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Mental Disorders, Middle Aged, Molecular Sequence Annotation, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid}, issn = {1095-9203}, doi = {10.1126/science.abe8457}, author = {Makowski, Carolina and van der Meer, Dennis and Dong, Weixiu and Wang, Hao and Wu, Yan and Zou, Jingjing and Liu, Cin and Rosenthal, Sara B and Hagler, Donald J and Fan, Chun Chieh and Kremen, William S and Andreassen, Ole A and Jernigan, Terry L and Dale, Anders M and Zhang, Kun and Visscher, Peter M and Yang, Jian and Chen, Chi-Hua} } @article {1581, title = {Deep(er) Learning.}, journal = {J Neurosci}, volume = {38}, year = {2018}, month = {2018 Aug 22}, pages = {7365-7374}, abstract = {

Animals successfully thrive in noisy environments with finite resources. The necessity to function with resource constraints has led evolution to design animal brains (and bodies) to be optimal in their use of computational power while being adaptable to their environmental niche. A key process undergirding this ability to adapt is the process of learning. Although a complete characterization of the neural basis of learning remains ongoing, scientists for nearly a century have used the brain as inspiration to design artificial neural networks capable of learning, a case in point being deep learning. In this viewpoint, we advocate that deep learning can be further enhanced by incorporating and tightly integrating five fundamental principles of neural circuit design and function: optimizing the system to environmental need and making it robust to environmental noise, customizing learning to context, modularizing the system, learning without supervision, and learning using reinforcement strategies. We illustrate how animals integrate these learning principles using the fruit fly olfactory learning circuit, one of nature{\textquoteright}s best-characterized and highly optimized schemes for learning. Incorporating these principles may not just improve deep learning but also expose common computational constraints. With judicious use, deep learning can become yet another effective tool to understand how and why brains are designed the way they are.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.0153-18.2018}, author = {Srinivasan, Shyam and Greenspan, Ralph J and Stevens, Charles F and Grover, Dhruv} } @article {1582, title = {The distributed circuit within the piriform cortex makes odor discrimination robust.}, journal = {J Comp Neurol}, volume = {526}, year = {2018}, month = {2018 Dec 01}, pages = {2725-2743}, abstract = {

Distributed circuits wherein connections between subcircuit components seem randomly distributed are common to the olfactory circuit, hippocampus, and cerebellum. In such circuits, activation patterns seem random too, showing no detectable spatial preference, and contrast with regions that have topographic connections between subcircuits and topographic activation patterns. Quantitative studies of topographic circuits in the neocortex have yielded common principles of organization. Whether distributed circuits share similar principles of organization is unknown because similar quantitative information is missing and understanding the way they encode information remains a challenge. We addressed these needs by providing a quantitative description of the mouse piriform cortex, a paleocortical distributed circuit that subserves olfaction. The quantitative information provided two insights. First, with a nearly parameter-free model of the olfactory circuit, we show that the piriform cortex robustly maintains odor information and discrimination ability present in the olfactory bulb. Second, the paleocortex is quantitatively different from the neocortex: it has a lower surface area density, which decreases from the anterior to posterior paleocortex contrasting with the uniform neuronal density of the neocortex. These insights might also apply to other distributed circuits.

}, issn = {1096-9861}, doi = {10.1002/cne.24492}, author = {Srinivasan, Shyam and Stevens, Charles F} } @article {123, title = {Delayed intramuscular human neurotrophin-3 improves recovery in adult and elderly rats after stroke.}, journal = {Brain}, volume = {139}, year = {2016}, month = {2016 Jan}, pages = {259-75}, abstract = {

There is an urgent need for a therapy that reverses disability after stroke when initiated in a time frame suitable for the majority of new victims. We show here that intramuscular delivery of neurotrophin-3 (NT3, encoded by NTF3) can induce sensorimotor recovery when treatment is initiated 24 h after stroke. Specifically, in two randomized, blinded preclinical trials, we show improved sensory and locomotor function in adult (6 months) and elderly (18 months) rats treated 24 h following cortical ischaemic stroke with human NT3 delivered using a clinically approved serotype of adeno-associated viral vector (AAV1). Importantly, AAV1-hNT3 was given in a clinically-feasible timeframe using a straightforward, targeted route (injections into disabled forelimb muscles). Magnetic resonance imaging and histology showed that recovery was not due to neuroprotection, as expected given the delayed treatment. Rather, treatment caused corticospinal axons from the less affected hemisphere to sprout in the spinal cord. This treatment is the first gene therapy that reverses disability after stroke when administered intramuscularly in an elderly body. Importantly, phase I and II clinical trials by others show that repeated, peripherally administered high doses of recombinant NT3 are safe and well tolerated in humans with other conditions. This paves the way for NT3 as a therapy for stroke.

}, keywords = {Adenoviridae, Age Factors, Animals, Endothelin-1, Female, Genetic Vectors, Humans, Injections, Intramuscular, Locomotion, Magnetic Resonance Imaging, Microinjections, Muscle, Skeletal, Neuroimaging, Neurotrophin 3, Pyramidal Tracts, Rats, Recovery of Function, Spinal Cord, Stroke, Time Factors}, issn = {1460-2156}, doi = {10.1093/brain/awv341}, author = {Duricki, Denise A and Hutson, Thomas H and Kathe, Claudia and Soleman, Sara and Gonzalez-Carter, Daniel and Petruska, Jeffrey C and Shine, H David and Chen, Qin and Wood, Tobias C and Bernanos, Michel and Cash, Diana and Williams, Steven C R and Gage, Fred H and Moon, Lawrence D F} } @article {127, title = {Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder.}, journal = {Nature}, volume = {527}, year = {2015}, month = {2015 Nov 5}, pages = {95-9}, abstract = {

Bipolar disorder is a complex neuropsychiatric disorder that is characterized by intermittent episodes of mania and depression; without treatment, 15\% of patients commit suicide. Hence, it has been ranked by the World Health Organization as a top disorder of morbidity and lost productivity. Previous neuropathological studies have revealed a series of alterations in the brains of patients with bipolar disorder or animal models, such as reduced glial cell number in the prefrontal cortex of patients, upregulated activities of the protein kinase A and C pathways and changes in neurotransmission. However, the roles and causation of these changes in bipolar disorder have been too complex to exactly determine the pathology of the disease. Furthermore, although some patients show remarkable improvement with lithium treatment for yet unknown reasons, others are refractory to lithium treatment. Therefore, developing an accurate and powerful biological model for bipolar disorder has been a challenge. The introduction of induced pluripotent stem-cell (iPSC) technology has provided a new approach. Here we have developed an iPSC model for human bipolar disorder and investigated the cellular phenotypes of hippocampal dentate gyrus-like neurons derived from iPSCs of patients with bipolar disorder. Guided by RNA sequencing expression profiling, we have detected mitochondrial abnormalities in young neurons from patients with bipolar disorder by using mitochondrial assays; in addition, using both patch-clamp recording and somatic Ca(2+) imaging, we have observed hyperactive action-potential firing. This hyperexcitability phenotype of young neurons in bipolar disorder was selectively reversed by lithium treatment only in neurons derived from patients who also responded to lithium treatment. Therefore, hyperexcitability is one early endophenotype of bipolar disorder, and our model of iPSCs in this disease might be useful in developing new therapies and drugs aimed at its clinical treatment.

}, keywords = {Action Potentials, Antipsychotic Agents, Bipolar Disorder, Calcium Signaling, Dentate Gyrus, Endophenotypes, Humans, Induced Pluripotent Stem Cells, Lithium Compounds, Male, Mitochondria, Neurons, Patch-Clamp Techniques}, issn = {1476-4687}, doi = {10.1038/nature15526}, author = {Mertens, Jerome and Wang, Qiu-Wen and Kim, Yongsung and Yu, Diana X and Pham, Son and Yang, Bo and Zheng, Yi and Diffenderfer, Kenneth E and Zhang, Jian and Soltani, Sheila and Eames, Tameji and Schafer, Simon T and Boyer, Leah and Marchetto, Maria C and Nurnberger, John I and Calabrese, Joseph R and {\O}degaard, Ketil J and McCarthy, Michael J and Zandi, Peter P and Alda, Martin and Alba, Martin and Nievergelt, Caroline M and Mi, Shuangli and Brennand, Kristen J and Kelsoe, John R and Gage, Fred H and Yao, Jun} } @article {1673, title = {Distinct neural correlates of emotional and cognitive empathy in older adults.}, journal = {Psychiatry Res}, volume = {232}, year = {2015}, month = {2015 Apr 30}, pages = {42-50}, abstract = {

Empathy is thought to be a mechanism underlying prosocial behavior across the lifespan, yet little is known about how levels of empathy relate to individual differences in brain functioning among older adults. In this exploratory study, we examined the neural correlates of affective and cognitive empathy in older adults. Thirty older adults (M=79 years) underwent fMRI scanning and neuropsychological testing and completed a test of affective and cognitive empathy. Brain response during processing of cognitive and emotional stimuli was measured by fMRI in a priori and task-related regions and was correlated with levels of empathy. Older adults with higher levels of affective empathy showed more deactivation in the amygdala and insula during a working memory task, whereas those with higher cognitive empathy showed greater insula activation during a response inhibition task. Our preliminary findings suggest that brain systems linked to emotional and social processing respond differently among older adults with more or less affective and cognitive empathy. That these relationships can be seen both during affective and non-emotional tasks of "cold" cognitive abilities suggests that empathy may impact social behavior through both emotional and cognitive mechanisms.

}, keywords = {Affect, Aged, Aged, 80 and over, Aging, Brain, Brain Mapping, Cognition, Emotions, Empathy, Female, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Social Behavior, Social Perception}, issn = {1872-7123}, doi = {10.1016/j.pscychresns.2014.10.016}, author = {Moore, Raeanne C and Dev, Sheena I and Jeste, Dilip V and Dziobek, Isabel and Eyler, Lisa T} } @conference {169, title = {A Drosophila Model of Williams Syndrome}, booktitle = {136th Annual Meeting of the American-Neurological-Association (ANA). San Diego, CA. Sep 25-27, 2011}, year = {2011}, publisher = {Annals of Neurology}, organization = {Annals of Neurology}, author = {Greenspan, Ralph J and Wagner, Jenee} } @article {165, title = {The Drosophila foraging gene mediates adult plasticity and gene-environment interactions in behaviour, metabolites, and gene expression in response to food deprivation.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Aug}, pages = {e1000609}, abstract = {

Nutrition is known to interact with genotype in human metabolic syndromes, obesity, and diabetes, and also in Drosophila metabolism. Plasticity in metabolic responses, such as changes in body fat or blood sugar in response to changes in dietary alterations, may also be affected by genotype. Here we show that variants of the foraging (for) gene in Drosophila melanogaster affect the response to food deprivation in a large suite of adult phenotypes by measuring gene by environment interactions (GEI) in a suite of food-related traits. for affects body fat, carbohydrates, food-leaving behavior, metabolite, and gene expression levels in response to food deprivation. This results in broad patterns of metabolic, genomic, and behavioral gene by environment interactions (GEI), in part by interaction with the insulin signaling pathway. Our results show that a single gene that varies in nature can have far reaching effects on behavior and metabolism by acting through multiple other genes and pathways.

}, keywords = {Animals, Carbohydrate Metabolism, Cyclic GMP-Dependent Protein Kinases, Drosophila melanogaster, Drosophila Proteins, Ecosystem, Fats, Food Deprivation, Gene Expression, Signal Transduction}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000609}, author = {Kent, Clement F and Daskalchuk, Tim and Cook, Lisa and Sokolowski, Marla B and Greenspan, Ralph J} } @article {147, title = {Dopaminergic modulation of arousal in Drosophila.}, journal = {Curr Biol}, volume = {15}, year = {2005}, month = {2005 Jul 12}, pages = {1165-75}, abstract = {

BACKGROUND: Arousal levels in the brain set thresholds for behavior, from simple to complex. The mechanistic underpinnings of the various phenomena comprising arousal, however, are still poorly understood. Drosophila behaviors have been studied that span different levels of arousal, from sleep to visual perception to psychostimulant responses.

RESULTS: We have investigated neurobiological mechanisms of arousal in the Drosophila brain by a combined behavioral, genetic, pharmacological, and electrophysiological approach. Administration of methamphetamine (METH) suppresses sleep and promotes active wakefulness, whereas an inhibitor of dopamine synthesis promotes sleep. METH affects courtship behavior by increasing sexual arousal while decreasing successful sexual performance. Electrophysiological recordings from the medial protocerebrum of wild-type flies showed that METH ingestion has rapid and detrimental effects on a brain response associated with perception of visual stimuli. Recordings in genetically manipulated animals show that dopaminergic transmission is required for these responses and that visual-processing deficits caused by attenuated dopaminergic transmission can be rescued by METH.

CONCLUSIONS: We show that changes in dopamine levels differentially affect arousal for behaviors of varying complexity. Complex behaviors, such as visual perception, degenerate when dopamine levels are either too high or too low, in accordance with the inverted-U hypothesis of dopamine action in the mammalian brain. Simpler behaviors, such as sleep and locomotion, show graded responses that follow changes in dopamine level.

}, keywords = {Animals, Animals, Genetically Modified, Arousal, Brain, Dopa Decarboxylase, Dopamine, Dose-Response Relationship, Drug, Drosophila, Drosophila Proteins, Dynamins, Electrophysiology, Methamphetamine, Mutation, Sexual Behavior, Animal, Sleep, Visual Perception}, issn = {0960-9822}, doi = {10.1016/j.cub.2005.05.025}, author = {Andretic, Rozi and van Swinderen, Bruno and Greenspan, Ralph J} }