bioRxiv Subject Collection: Neuroscience's Journal

MRI economics: Balancing sample size and scan duration in brain wide association studies
A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration given fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide association studies (BWAS) using resting-state functional magnetic resonance imaging (fMRI). We find that total scan duration (sample size x scan duration per participant) robustly explains individual-level phenotypic prediction accuracy via a logarithmic model, suggesting that sample size and scan duration are broadly interchangeable. The returns of scan duration eventually diminish relative to sample size, which we explain with principled theoretical derivations. When accounting for fixed costs associated with each participant (e.g., recruitment, non-imaging measures), we find that prediction accuracy in small-scale BWAS might benefit from much longer scan durations (>50 min) than typically assumed. Most existing large-scale studies might also have benefited from smaller sample sizes with longer scan durations. Both logarithmic and theoretical models of the relationships among sample size, scan duration and prediction accuracy explain well-predicted phenotypes better than poorly-predicted phenotypes. The logarithmic and theoretical models are also undermined by individual differences in brain states. These results replicate across phenotypic domains (e.g., cognition and mental health) from two large-scale datasets with different algorithms and metrics. Overall, our study emphasizes the importance of scan time, which is ignored in standard power calculations. Standard power calculations inevitably maximize sample size at the expense of scan duration. The resulting prediction accuracies are likely lower than would be produced with alternate designs, thus impeding scientific discovery. Our empirically informed reference is available for future study design: WEB_APPLICATION_LINK

Functional brain imaging predicts population-level visits to urban spaces
Urbanization is increasing around the world, and urban development strategies focusing on sustainability and the welfare of urban residents are needed. In response to this need, the field of neurourbanism has emerged, which leverages research on the human brain to understand and predict the influence of urban environments. For example, studying brain regions involved in reward processing and value-based decision making, such as the ventromedial prefrontal cortex (vmPFC), may help us understand how people interact with and navigate through urban environments. In this study, we aimed to ascertain whether neural activity within the vmPFC can predict population-level visits around the urban spaces of a city - in our case, Lisbon, Portugal. We used the density of photographs taken around Lisbon as a proxy measure of these visits. To do this, we created a stimulus set featuring 160 images of Lisbon sourced from the social media platform, Flickr. Then, study participants in the U.S. who had never visited Lisbon, viewed these images while we recorded their brain activity. We found that in our sample, activity in the vmPFC predicted the density of photographs taken around Lisbon, and hence, the population-level visits. Our research highlights the crucial role of the brain, especially reward-related brain regions, in shaping human behavior within urban environments. By shedding light on the neural mechanisms underlying urban behavior in humans, our research opens exciting possibilities for the future of urban planning. With this knowledge, policymakers and urban planners can potentially design cities that can promote well-being, social interaction, and sustainable living.

Postweaning development influences endogenous VPAC1 modulation of LTP induced by theta-burst stimulation: a link to maturation of the hippocampal GABAergic system?
Long-term potentiation (LTP) induced by theta-burst stimulation (TBS) undergoes postweaning developmental changes partially linked to GABAergic circuit maturation. Endogenous VIP acting on VPAC1 receptors strongly influences LTP induced by theta-burst stimulation (TBS), an effect dependent on GABAergic transmission. Although VPAC1 receptor levels are developmentally regulated during embryogenesis, its variation along postweaning development is unknow, as is VPAC1 modulation of LTP or its relation to hippocampal GABAergic circuit maturation. As such, we investigated how VPAC1 modulation of LTP adjusts from weaning to adulthood along with GABAergic circuit maturation. As described, LTP induced by TBS (5x4) (5 bursts, 4 pulses delivered at 100Hz) was increasingly greater from weaning to adulthood. The influence of the VPAC1 receptor antagonist PG 97-269 (100nM) on TBS-induced LTP was much larger in juvenile (3-week-old) than in young-adult (6-7-week-old) or adult (12-week-old) rats. This effect was not associated to a developmental decrease in synaptic VPAC1 receptor levels. However, an increase in pre and post synaptic GABAergic synaptic markers, suggests an increase in the number of GABAergic synaptic contacts that is more prominent than the one observed in glutamatergic connections during this period. Conversely, endogenous VPAC2 receptor activation did not significantly influence of TBS-induced LTP. VPAC2 receptor levels enhance pronouncedly during postweaning development, but not at synaptic sites. Given the involvement of VIP interneurons in several aspects of hippocampal-dependent learning, neurodevelopmental disorders, and epilepsy, this could provide important insights into the role of VIP modulation of hippocampal synaptic plasticity during normal and altered brain development potentially contributing to epileptogenesis.

Mice lacking Astn2 have ASD-like behaviors and altered cerebellar circuit properties
Astrotactin 2 (ASTN2) is a transmembrane neuronal protein highly expressed in the cerebellum that functions in receptor trafficking and modulates cerebellar Purkinje cell (PC) synaptic activity. We recently reported a family with a paternally inherited intragenic ASTN2 duplication with a range of neurodevelopmental disorders, including autism spectrum disorder (ASD), learning difficulties, and speech and language delay. To provide a genetic model for the role of the cerebellum in ASD-related behaviors and study the role of ASTN2 in cerebellar circuit function, we generated global and PC-specific conditional Astn2 knockout (KO and cKO, respectively) mouse lines. Astn2 KO mice exhibit strong ASD-related behavioral phenotypes, including a marked decrease in separation-induced pup ultrasonic vocalization calls, hyperactivity and repetitive behaviors, altered social behaviors, and impaired cerebellar-dependent eyeblink conditioning. Hyperactivity and repetitive behaviors were also prominent in Astn2 cKO animals. By Golgi staining, Astn2 KO PCs have region-specific changes in dendritic spine density and filopodia numbers. Proteomic analysis of Astn2 KO cerebellum reveals a marked upregulation of ASTN2 family member, ASTN1, a neuron-glial adhesion protein. Immunohistochemistry and electron microscopy demonstrate a large increase in Bergmann glia volume in the molecular layer of Astn2 KO animals. Electrophysiological experiments indicate a reduced frequency of spontaneous excitatory postsynaptic currents (EPSCs), as well as increased amplitudes of both spontaneous EPSCs and inhibitory postsynaptic currents (IPSCs) in the Astn2 KO animals, suggesting that pre- and postsynaptic components of synaptic transmission are altered. Thus, ASTN2 regulates ASD-like behaviors and cerebellar circuit properties.

Slc35a2 mosaic knockout impacts cortical development, dendritic arborisation, and neuronal firing in the developing brain
ObjectiveMild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE) is an important cause of drug-resistant epilepsy. A significant subset of individuals diagnosed with MOGHE display somatic mosaicism for loss-of-function variants in SLC35A2, which encodes the UDP-galactose transporter. We developed a mouse model to investigate the mechanism by which disruption of this transporter leads to a malformation of cortical development.

MethodsWe used in utero electroporation and CRISPR/Cas9 to knockout Slc35a2 in a subset of layer 2/3 cortical neuronal progenitors in the developing brains of fetal mice to model mosaic expression.

ResultsHistology of brain tissue in the mosaic Slc35a2 knockout mice revealed the presence of upper layer-derived cortical neurons in the white matter. In contrast, oligodendrocyte patterning was unchanged. Reconstruction of single filled neurons identified altered dendritic arborisation with Slc35a2 knockout neurons having increased complexity. Whole-cell electrophysiological recordings revealed that Slc35a2 knockout neurons display reduced action potential firing and increased afterhyperpolarisation duration compared with control neurons. Mosaic Slc35a2 knockout mice also exhibited significantly increased epileptiform spiking and increased locomotion.

InterpretationWe successfully generated a mouse model of mosaic Slc35a2 deficiency, which recapitulates features of the human phenotype, including impaired neuronal migration. We show that knockout in layer 2/3 cortical neuron progenitors is sufficient to disrupt neuronal excitability and increase epileptiform activity and hyperactivity in mosaic mice. Our mouse model provides a unique opportunity to investigate the disease mechanism(s) that underpin MOGHE and facilitate the development of precision therapies.

Dynamics of striatal action selection and reinforcement learning
Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning in the basal ganglia. Here, we identify and resolve a fundamental inconsistency between striatal reinforcement learning models and known SPN synaptic plasticity rules. Direct-pathway (dSPN) and indirect-pathway (iSPN) neurons, which promote and suppress actions, respectively, exhibit synaptic plasticity that reinforces activity associated with elevated or suppressed dopamine release. We show that iSPN plasticity prevents successful learning, as it reinforces activity patterns associated with negative outcomes. However, this pathological behavior is reversed if functionally opponent dSPNs and iSPNs, which promote and suppress the current behavior, are simultaneously activated by efferent input following action selection. This prediction is supported by striatal recordings and contrasts with prior models of SPN representations. In our model, learning and action selection signals can be multiplexed without interference, enabling learning algorithms beyond those of standard temporal difference models.

Orthogonal neural representations support perceptual judgements of natural stimuli
In natural behavior, observers must separate relevant information from a barrage of irrelevant information. Many studies have investigated the neural underpinnings of this ability using artificial stimuli presented on simple backgrounds. Natural viewing, however, carries a set of challenges that are inaccessible using artificial stimuli, including neural responses to background objects that are task-irrelevant. An emerging body of evidence suggests that the visual abilities of humans and animals can be modeled through the linear decoding of task-relevant information from visual cortex. This idea suggests the hypothesis that irrelevant features of a natural scene should impair performance on a visual task only if their neural representations intrude on the linear readout of the task relevant feature, as would occur if the representations of task-relevant and irrelevant features are not orthogonal in the underlying neural population. We tested this hypothesis using human psychophysics and monkey neurophysiology, in response to parametrically variable naturalistic stimuli. We demonstrate that 1) the neural representation of one feature (the position of a central object) in visual area V4 is orthogonal to those of several background features, 2) the ability of human observers to precisely judge object position was largely unaffected by task-irrelevant variation in those background features, and 3) many features of the object and the background are orthogonally represented by V4 neural responses. Our observations are consistent with the hypothesis that orthogonal neural representations support stable perception of objects and features despite the tremendous richness of natural visual scenes.

A novel pyridoindole improves the recovery of residual hearing following cochlear implantation after a single preoperative application
Sensorineural hearing loss (SNHL) is the most common sensory deficit worldwide. Due to the heterogeneity of causes for SNHL, effective treatment options remain scarce, creating an unmet need for novel drugs in the field of otology. Cochlear implantation (CI) currently is the only established method to restore hearing function in profound SNHL and deaf patients. The cochlear implant bypasses the non-functioning sensory hair cells (HCs) and electrically stimulates the neurons of the cochlear nerve. CI also benefits patients with residual hearing by combined electrical and auditory stimulation. However, the insertion of an electrode array into the cochlea induces an inflammatory response, characterized by the expression of pro-inflammatory cytokines, upregulation of reactive oxygen species, and apoptosis and necrosis of HCs, putting residual hearing at risk. Here, we characterize the effects of the small molecule AC102, a pyridoindole, for its protective effects on residual hearing in CI. We show that AC102 significantly preserves hearing thresholds across the whole cochlea and confines the cochlear trauma to the directly mechanically injured area. In addition, AC102 significantly preserves auditory nerve fibers and inner HC synapses throughout the whole cochlea. AC102s effects are likely elicited during the inflammatory phase of electrode insertion trauma (EIT) and mediated by anti-apoptotic and anti-inflammatory properties, as uncovered by an in vitro assay of ethanol induced apoptosis and evaluation of mRNA expression of pro-inflammatory cytokines in an organotypic ex vivo model of EIT. The results in this study highlight AC102 as a promising compound for the attenuation of EIT during CI. Moreover, as the inflammatory response in cochlear implantation shares similarities to other etiologies of SNHL, a beneficial effect of AC102 can be inferred for other inner ear conditions as well.

High-precision photoacoustic neural modulation uses a non-thermal mechanism
Neuromodulation is a powerful tool for fundamental studies in neuroscience and potential treatments of neurological disorders. Both photoacoustic (PA) and photothermal (PT) effects have been harnessed for non-genetic high-precision neural stimulation. Using a fiber-based device excitable by a nanosecond pulsed laser and a continuous wave laser for PA and PT stimulation, respectively, we systematically investigated PA and PT neuromodulation at the single neuron level. Our results show that to achieve the same level of cell activation recorded by Ca2+ imaging the laser energy needed for PA neurostimulation is 1/40 of that needed for PT stimulation. The threshold energy for PA stimulation is found to be further reduced in neurons overexpressing mechano-sensitive channels, indicating direct involvement of mechano-sensitive channels in PA stimulation. Electrophysiology study of single neurons upon PA and PT stimulation was performed by patch clamp recordings. Electrophysiological features stimulated by PA are distinct from those induced by PT, confirming that PA and PT stimulations operate through distinct mechanisms. These insights offer a foundation for rational design of more efficient and safer non-genetic neural modulation approaches.

Morphing Cholinesterase Inhibitor Amiridine into Multipotent Drugs for the Treatment of Alzheimer's Disease
The search for novel drugs to address the medical needs of Alzheimer's disease (AD) is an ongoing process relying on the discovery of disease-modifying agents. Given the complexity of the disease, such an aim can be pursued by developing so-called multi-target directed ligands (MTDLs) that will impact the disease pathophysiology more comprehensively. Herewith, we contemplated the therapeutic efficacy of an amiridine drug acting as a cholinesterase inhibitor by converting it into a novel class of novel MTDLs. Applying the linking approach, we have paired amiridine as a core building block with memantine/adamantylamine, trolox, and substituted benzothiazole moieties to generate novel MTDLs endowed with additional properties like N-methyl-D-aspartate (NMDA) receptor affinity, antioxidant capacity, and anti-amyloid properties, respectively. The top-ranked amiridine-based compound 5d was also inspected by in silico to reveal the butyrylcholinesterase binding differences with its close structural analogue 5b. Our study provides insight into the discovery of novel amiridine-based drugs by broadening their target-engaged profile from cholinesterase inhibitors towards MTDLs with potential implications in AD therapy.

Targeting eIF2α in TBI-induced traumatic optic neuropathy: Effects of Salubrinal and the Integrated Stress Response Inhibitor.
Traumatic brain injury (TBI) can induce traumatic axonal injury in the optic nerve, which is referred to as traumatic optic neuropathy (TON). TON occurs in up to 5% of TBI cases and leads to irreversible visual deficits. TON-induced phosphorylation of eIF2, a downstream ER stress activator in the PERK pathway presents a potential point for therapeutic intervention. For eIF2 phosphorylation can lead to apoptosis or adaptation to stress. We hypothesized that dephosphorylation, rather than phosphorylation, of eIF2 would lead to reduced apoptosis and improved visual performance and retinal cell survival. Adult male mice were injected with Salubrinal (increases p-eIF2) or ISRIB (decreases p-eIF2) 60 minutes post-injury. Contrary to literature, both drugs hindered control animal visual function with minimal improvements in injured mice. Additionally, differences in eIF2 phosphorylation, antioxidant responses, and protein folding chaperones were different when examining protein expression between the retina and its axons in the optic nerve. These results reveal important compartmentalized ER stress responses to axon injury and suggest that interventions in the PERK pathway may alter necessary homeostatic regulation of the UPR in the retina.

Emotional Content and Semantic Structure of Dialogues Predict Interpersonal Neural Synchrony in the Prefrontal Cortex: a Hyperscanning Studywith Functional Near-Infrared Spectroscopy
A fundamental characteristic of social exchanges is the synchronization of individuals' behaviors, physiological responses, and neural activity. However, the influence of how individuals communicate in terms of emotional content and expressed associative knowledge on interpersonal synchrony has been scarcely investigated so far. This study addresses this research gap by bridging recent advances in cognitive neuroscience data, affective computing, and cognitive data science frameworks. Using functional near-infrared spectroscopy (fNIRS) hyperscanning, prefrontal neural data were collected during social interactions involving 84 participants (i.e., 42 dyads) aged 18-35 years. Wavelet transform coherence was used to assess interpersonal neural synchrony between participants. We used manual transcription of dialogues and automated methods to codify transcriptions as emotional levels and syntactic/semantic networks. Our quantitative findings reveal higher than random expectations levels of interpersonal neural synchrony in the superior frontal gyrus (p = 0.020) and the bilateral middle frontal gyri (p < 0.001; p = 0.002). Stepwise models based on dialogues' emotional content only significantly predicted interpersonal neural synchrony in the medial (R2 = 14.13%) and left prefrontal cortex (R2 = 8.25%). Conversely, models relying on semantic features were more effective for the right prefrontal cortex (R2 = 18.30%). Generally, emotional content emerged as the most accurate predictor of synchrony. However, we found an interplay between emotions and associative knowledge during role reversal (i.e., a clinical technique involving perspective-taking) providing quantitative support to empathy in social interactions emphasizing both affective and cognitive computations. Our study identifies a mind-brain duality in emotions and associative knowledge reflecting neural synchrony levels, opening new ways for investigating human interactions.

Sympathetic Signals Promote Immunosuppressive Neutrophils in Lung Tumors
It has become recognized that the nervous system can significantly influence cancer prognosis. However, the pathophysiological mechanism underlying neural modulation of the tumor immune microenvironment remains incompletely understood. Here, we exploit the advanced 3D imaging technique to reveal the frequent presence of sympathetic inputs in human non-small-cell lung cancer. Also, this spatial engagement of sympathetic innervations similarly occurs in the mouse models of lung tumors. Of importance, the local ablation of sympathetic signals strongly suppresses cancer progression. We then identify a neutrophil subtype uniquely present within lung tumors, whose immunosuppressive features are directly promoted by the sympathetic neurotransmitter norepinephrine via the {beta}2-adrenergic receptor (Adrb2). In addition, norepinephrine stimulates the specific type of tumor cells to recruit such immunosuppressive neutrophils. Accordingly, we show that the Adrb2 antagonist effectively potentiates the anti-PD-L1 immunotherapy. Together, these results have elucidated a critical aspect of sympathetic signals in designating the immune microenvironment of lung tumors.

Brain substates induced by DMT relate to sympathetic output and meaningfulness of the experience
N,N-Dimethyltryptamine (DMT) is a serotonergic psychedelic, known to rapidly induce short-lasting alterations in conscious experience, characterized by a profound and immersive sense of physical transcendence alongside rich and vivid auditory distortions and visual imagery. Multimodal neuroimaging data paired with dynamic analysis techniques offer a valuable approach for identifying unique signatures of brain activity - and linked autonomic physiology - naturally unfolding during the altered state of consciousness induced by DMT. We leveraged simultaneous fMRI and EKG data acquired in 14 healthy volunteers prior to, during, and after intravenous administration of DMT, and, separately, placebo. EKG data was used to derive continuous heart rate; fMRI data was preprocessed to derive individual dynamic activity matrices, reflecting the similarity of brain activity in time, and community detection algorithms were applied on these matrices to identify brain activity substates. We identified a brain substate occurring immediately after DMT injection, characterized by increased superior temporal lobe activity, and hippocampal and medial parietal deactivations under DMT. Superior temporal lobe hyperactivity correlated with the intensity of the auditory distortions, while hippocampus and medial parietal cortex hypoactivity correlated with scores of meaningfulness of the experience. During this first post-injection substate, increased heart rate under DMT correlated negatively with the meaningfulness of the experience and positively with hippocampus/medial parietal deactivation. These results suggest a chain of influence linking sympathetic regulation to hippocampal and medial parietal deactivations under DMT, which combined may contribute to positive mental health outcomes related to self-referential processing following psychedelic administration.

Significance StatementHuman subjective experience entails an interaction between bodily awareness and higher-level self-referential processes. DMT is a fast-acting psychedelic that induces intense and short-lasting disruptions in subjective experience. We applied dynamic analysis techniques and graph theoretical approaches to multimodal fMRI/EKG data from a pharmacological study in healthy volunteers. We show that DMT injection is followed by a brain substate characterized by superior temporal lope hyperactivity, related to auditory distortions, and medial parietal and hippocampal hypoactivity, related to meaningfulness of the psychedelic experience. These deactivations were also related to lower increases in heart rate under DMT, suggesting that sympathetic regulation and medial parietal/hippocampal deactivations are an important component of the DMT-induced altered state of consciousness.

Brainwide mesoscale functional networks revealed by focal infrared neural stimulation of the amygdala
The primate amygdala serves to evaluate emotional content of sensory inputs and modulate emotional and social behaviors; prefrontal, multisensory and autonomic aspects of these circuits are mediated predominantly via the basal (BA), lateral (LA), and central (CeA) nuclei, respectively. Based on recent electrophysiological evidence suggesting mesoscale (millimeters-scale) nature of intra-amygdala functional organization, we have investigated the connectivity of these nuclei using infrared neural stimulation (INS) of single mesoscale sites coupled with mapping in ultrahigh field 7T functional magnetic resonance imaging (fMRI), namely INS-fMRI. Following stimulation of multiple sites within amygdala of single individuals, a 'mesoscale functional connectome' of amygdala connectivity (of BA, LA, and CeA) was obtained. This revealed the mesoscale nature of connected sites, the spatial patterns of functional connectivity, and the topographic relationships (parallel, sequential, or interdigitating) of nucleus-specific connections. These findings provide novel perspectives on the brainwide circuits modulated by the amygdala.

Novel therapies for cancer-induced bone pain
Cancer pain is a growing problem, especially with the substantial increase in cancer survival. Reports indicate that bone metastasis, whose primary symptom is bone pain, occurs in 65-75% of patients with advanced breast or prostate cancer. We optimized a preclinical in vivo model of cancer-induced bone pain (CIBP) involving the injection of Lewis Lung Carcinoma cells into the intramedullary space of the femur of C57BL/6 mice or transgenic mice on a C57BL/6 background. Mice gradually reduce the use of the affected limb, leading to altered weight bearing. Symptoms of secondary cutaneous heat sensitivity also manifest themselves. Following optimization, three potential analgesic treatments were assessed; 1) single ion channel targets (targeting the voltage-gated sodium channels NaV1.7, NaV1.8, or acid-sensing ion channels), 2) silencing Mu-opioid receptor-expressing neurons by modified botulinum compounds, and 3) targeting two inflammatory mediators simultaneously (nerve growth factor (NGF) and tumor necrosis factor (TNF)). Unlike global NaV1.8 knockout mice which do not show any reduction in CIBP-related behavior, embryonic conditional NaV1.7 knockout mice in sensory neurons exhibit a mild reduction in CIBP-linked behavior. Modified botulinum compounds also failed to cause a detectable analgesic effect. In contrast, inhibition of NGF and/or TNF resulted in a significant reduction in CIBP-driven weight-bearing alterations and prevented the development of secondary cutaneous heat hyperalgesia. Our results support the inhibition of these inflammatory mediators; and more strongly their dual inhibition to treat CIBP, given the superiority of combination therapies in extending the time needed to reach limb use score zero in our CIBP model.

Large-scale visualisation of α-synuclein oligomers in Parkinson's disease brain tissue
Parkinson's disease (PD) is a common neurodegenerative condition characterised by the presence in the brain of large intraneuronal aggregates, known as Lewy bodies and Lewy neurites, containing fibrillar -synuclein. According to the amyloid hypothesis, these large end-stage species form from smaller soluble protein assemblies, often termed oligomers, which are proposed as early drivers of pathogenesis. To date, however, this hypothesis has remained controversial, at least in part because it has not been possible to directly visualise oligomeric aggregates in human brain tissue. Therefore, their presence, abundance and distributions have remained elusive. Here, we present ASA-PD (Advanced Sensing of Aggregates - Parkinson's Disease), an imaging method to generate large-scale -synuclein oligomer maps in post-mortem human brain tissue. We combined autofluorescence suppression with single-molecule fluorescence methods, which together, enable the detection of nanoscale -synuclein aggregates. To demonstrate the utility of this platform, we captured ~1.2 million oligomers from the anterior cingulate cortex in human post-mortem brain samples from PD and healthy control patients. Our data revealed a specific subpopulation of nanoscale oligomers that represent an early hallmark of the proteinopathy that underlies PD. We anticipate that quantitative information about oligomer distributions provided by ASA-PD will enable mechanistic studies to reveal the pathological processes caused by -synuclein aggregation.