bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reduced risk-taking behavior during frontal oscillatory theta band neurostimulation
Authors: Dantas Aline M. , Sack Alexander T. , Bruggen Elisabeth , Jiao Peiran , Schuhmann Teresa 
Published: September 2020

AbstractBackgroundMost of our decisions involve a certain degree of risk regarding the outcomes of our choices. People vary in the way they make decisions, resulting in different levels of risk-taking behavior. These differences have been linked to prefrontal theta band activity. However, a direct functional relationship between prefrontal theta band activity and risk-taking has not yet been demonstrated.ObjectiveWe used noninvasive brain stimulation to test the functional relevance of prefrontal oscillatory theta activity for the regulatory control of risk-taking behavior.MethodsIn a within-subject experiment, 32 healthy participants received theta [4-8 Hertz (Hz)], gamma (30-50 Hz), and sham transcranial alternating current stimulation (tACS) over the left prefrontal cortex (lPFC). During stimulation, participants completed a task assessing their risk-taking behavior as well as response times and sensitivity to value and outcome probabilities. Electroencephalography (EEG) was recorded before and immediately after stimulation.ResultsTheta-band, but not gamma-band or sham, tACS led to a significant reduction in risk-taking behavior, indicating a frequency-specific effect of prefrontal brain stimulation on the modulation of risk-taking behavior. Moreover, theta-band stimulation led to increased response times and decreased sensitivity to reward values. EEG data analyses did not show an increase in power in the stimulated frequencies.ConclusionThese findings provide direct empirical evidence for the effects of prefrontal theta-band stimulation on behavioral risk-taking regulation.
Human uniqueness illustrated by life history diversity among small-scale societies and chimpanzees
Authors: Davison Raziel J. , Gurven Michael D. 
Published: September 2020

AbstractBackgroundWe compare life histories and selection forces among chimpanzees and human subsistence societies in order to identify the age-specific vital rates that best explain fitness variation, selection pressures and species divergence.MethodsWe employ Life Table Response Experiments that quantify vital rate contributions to population growth rate differences. Although widespread in ecology, these methods have not been applied to human populations or to look at species differences among humans and chimpanzees. We also estimate correlations between vital rate elasticities and life history traits to investigate differences in selection pressures and test predictions of life history theory.ResultsChimpanzees’ earlier maturity and higher adult mortality drive species differences, whereas infant mortality and fertility variation drive differences among humans. Human fitness is decoupled from longevity by postreproductive survival, while chimpanzees forfeit higher potential lifetime fertility due to adult mortality attrition. Infant survival is often lower among humans, but lost fitness is recouped via short birth spacing and high peak fertility, thereby reducing selection on infant survival. Lastly, longevity and delayed maturity reduce selection on child survival, but among humans, recruitment selection is unexpectedly highest in longer-lived populations, which are also faster-growing due to high fertility.ConclusionHumans differ from chimpanzees more because of delayed maturity and adult mortality than child mortality or fertility rates. In both species, high child mortality reflects bet-hedging costs of quality/quantity tradeoffs borne by offspring, with high and variable child mortality likely regulating human population growth over evolutionary history. Among human subsistence societies, positive correlations between survival and natural fertility lead selection pressures in human subsistence societies to differ from modern populations undergoing demographic transition, due in part to positive correlations between longevity and natural fertility and negative correlations between recruitment elasticity and reproductive effort.
Genome-wide association study of skin and soft tissue infection susceptibility
Authors: Rogne Tormod , Liyanarachi Kristin V , Rasheed Humaira , Thomas Laurent F , Flatby Helene M , Løset Mari , Gill Dipender , Burgess Stephen , Willer Cristen J , Hveem Kristian , Åsvold Bjørn O , Brumpton Ben M , DeWan Andrew T , Solligård Erik , Damås Jan K 
Published: September 2020

AbstractBackgroundSkin and soft tissue infections (SSTIs) are common worldwide, but little is known about the genetic susceptibility and the causal effect of cardiometabolic risk factors. We therefore conducted the first genome-wide association study (GWAS) of SSTIs, with downstream analyses including Mendelian randomization analyses.MethodsThe GWAS was conducted using the UK Biobank as discovery cohort, with 6,107 cases and 399,239 controls, and the Trøndelag Health Study (HUNT) as replication cohort with 1,657 cases and 67,522 controls. Cases and controls were those who had or had not been hospitalized with an SSTI diagnosis, respectively.FindingsOne locus, lead single-nucleotide polymorphism rs3749748 in LINC01184/SLC12A2, was associated with SSTIs in the UK Biobank (odds ratio [OR] 1.19, p-value = 7.6e-16) and replicated in HUNT (OR 1.15, p-value = 6.3e-4). Meta-analysis confirmed the lead variant (OR 1.18, p-value = 4.4e-18), as well as suggested two additional loci close to genome-wide significance (rs2007361 in PSMA1, OR 0.91, p-value = 5.1e-8; and rs78625038 in GAN, OR 1.86, p-value = 5.9e-8). Gene-based association tests identified four genes linked to SSTIs: SLC12A2, PSMA1, GAN, and IL6R. The minor allele of rs3749748 reduced the gene expression of SLC12A2 primarily in monocytes and macrophages. Mendelian randomization analyses showed that increasing body mass index and lifetime smoking habits increased risk of SSTIs.InterpretationLINC0118/SLC12A2 was robustly associated with SSTI incidence and may exert its effect through reduced gene expression in monocytes and macrophages. Reducing tobacco smoking, overweight and obesity in the population may reduce the incidence of SSTIs.
A Harmonized Atlas of Spinal Cord Cell Types and Their Computational Classification
Authors: Russ Daniel E. , Patterson Cross Ryan B. , Li Li , Koch Stephanie C. , Matson Kaya J.E. , Levine Ariel J. 
Published: September 2020

ABSTRACTSingle cell sequencing is transforming many fields of science but the vast amount of data it creates has the potential to both illuminate and obscure underlying biology. To harness the exciting potential of single cell data for the study of the mouse spinal cord, we have created a harmonized atlas of spinal cord transcriptomic cell types that unifies six independent and disparate studies into one common analysis. With the power of this large and diverse dataset, we reveal spinal cord cell type organization, validate a combinatorial set of markers for in-tissue spatial gene expression analysis, and optimize the computational classification of spinal cord cell types based on transcriptomic data. This work provides a comprehensive resource with unprecedented resolution of spinal cord cell types and charts a path forward for how to utilize transcriptomic data to expand our knowledge of spinal cord biology.
The dirty north: Evidence for multiple colonisations and Wolbachia infections shaping the genetic structure of the widespread butterflyPolyommatus icarusin the British Isles
Authors: Arif Saad , Gerth Michael , Hone-Millard William G. , Nunes Maria D. S. , Dapporto Leonardo , Shreeve Timothy G. 
Published: September 2020

AbstractThe paradigm of differentiation in southern refugia during glacial periods followed by expansions during interglacials, producing limited genetic diversity and population sub-division in northern areas, dominates European phylogeography. However, the existence of complex structured populations in formerly glaciated areas, and on islands connected to mainland areas during glacial maxima, call for alternative explanations. Here, we reconstruct the mtDNA phylogeography of the widespreadPolyommatus icarusbutterfly over its native range, with an emphasis on the formerly glaciated and connected British Isles. We found distinct geographical structuring ofCO1 mitotypes, with an ancient lineage restricted to the marginal European areas, including Northern Scotland and Outer Hebrides. We detected perfect mtDNA-Wolbachiaassociations in Northern Britain that support the possibility of at least two post-glacialWolbachia-mediated sweeps, suggesting a series of sequential replacement of mtDNA in the British Isles and potentially in Europe. Population genomic analysis, using ddRADSeq genomic markers, also reveal unexpected genetic structuring within Britain. However, weak mito-nuclear concordance suggests the potential for independent histories of nuclearversusmitochondrial genomes. We found clustering of genomic SNPs of French samples, with respect to those in the British Isles, is not consistent with a scenario of a single recolonisation. Taken together our mtDNA and ddRADseq observations are consistent with a history of at least two distinct colonisations, a phylogeographic scenario previously put forth to explain diversity and structuring in other British flora and fauna. Additionally, we also present preliminary evidence thatWolbachia-induced feminization may be occurring in the isolated population in the Outer Hebrides.
Benchmarking of numerical integration methods for ODE models of biological systems
Authors: Städter Philipp , Schälte Yannik , Schmiester Leonard , Hasenauer Jan , Stapor Paul L. 
Published: September 2020

AbstractOrdinary differential equation (ODE) models are a key tool to understand complex mechanisms in systems biology. These models are studied using various approaches, including stability and bifurcation analysis, but most frequently by numerical simulations. The number of required simulations is often large, e.g., when unknown parameters need to be inferred. This renders efficient and reliable numerical integration methods essential. However, these methods depend on various hyperparameters, which strongly impact the ODE solution. Despite this, and although hundreds of published ODE models are freely available in public databases, a thorough study that quantifies the impact of hyperparameters on the ODE solver in terms of accuracy and computation time is still missing. In this manuscript, we investigate which choices of algorithms and hyperparameters are generally favorable when dealing with ODE models arising from biological processes. To ensure a representative evaluation, we considered 167 published models. Our study provides evidence that most ODEs in computational biology are stiff, and we give guidelines for the choice of algorithms and hyperparameters. We anticipate that our results will help researchers in systems biology to choose appropriate numerical methods when dealing with ODE models.
Multimodal imaging brain markers in early adolescence are linked with a physically active lifestyle
Authors: Salvan Piergiorgio , Wassenaar Thomas , Wheatley Catherine , Beale Nicholas , Cottaar Michiel , Papp Daniel , Bastiani Matteo , Fitzgibbon Sean , Duff Euguene , Andersson Jesper , Winkler Anderson M. , Douaud Gwenaëlle , Nichols Thomas E. , Smith Stephen , Dawes Helen , Johansen-Berg Heidi 
Published: September 2020

AbstractThe World Health Organization (WHO) promotes physical exercise and a healthy lifestyle as means to improve youth development. However, relationships between physical lifestyle and brain development are not fully understood. Here, we asked whether a brain – physical latent mode of covariation underpins the relationship between physical activity, fitness, and physical health measures with multimodal neuroimaging markers. In 50 12-year old school pupils (26 females), we acquired multimodal whole-brain MRI, characterizing brain structure, microstructure, function, myelin content, and blood perfusion. We also acquired physical variables measuring objective fitness levels, 7-days physical activity, body-mass index, heart rate, and blood pressure. Using canonical correlation analysis we unravel a latent mode of brain – physical covariation, independent of demographics, school, or socioeconomic status. We show that MRI metrics with greater involvement in this mode also showed spatially extended patterns across the brain. Specifically, global patterns of greater grey matter perfusion, volume, cortical surface area, greater white matter extra-neurite density, and resting state networks activity, covaried positively with measures reflecting a physically active phenotype (high fit, low sedentary individuals). Showing that a physically active lifestyle is linked with systems-level brain MRI metrics, these results suggest widespread associations relating to several biological processes. These results support the notion of close brain-body relationships and underline the importance of investigating modifiable lifestyle factors not only for physical health but also for brain health early in adolescence.Significance statementAn active lifestyle is key for healthy development. In this work, we answer the following question: How do brain neuroimaging markers relate with young adolescents’ level of physical activity, fitness, and physical health? Combining advanced whole-brain multimodal MRI metrics with computational approaches, we show a robust relationship between physically active lifestyles and spatially extended, multimodal brain imaging derived phenotypes. Suggesting a wider effect on brain neuroimaging metrics than previously thought, this work underlies the importance of studying physical lifestyle, as well as other brain – body relationships in an effort to foster brain health at this crucial stage in development.
Cingulo-Opercular Control Network Supports Disused Motor Circuits in Standby Mode
Authors: Newbold Dillan J. , Gordon Evan M. , Laumann Timothy O. , Seider Nicole A. , Montez David F. , Gross Sarah J. , Zheng Annie , Nielsen Ashley N. , Hoyt Catherine R. , Hampton Jacqueline M. , Ortega Mario , Adeyemo Babatunde , Miller Derek B. , Van Andrew N. , Marek Scott , Schlaggar Bradley L. , Carter Alexandre R. , Kay Benjamin P. , Greene Deanna J. , Raichle Marcus E. , Petersen Steven E. , Snyder Abraham Z. , Dosenbach Nico U.F. 
Published: September 2020

AbstractWhole-brain resting-state functional MRI (rs-fMRI) during two weeks of limb constraint revealed that disused motor regions became more strongly connected to the cingulo-opercular network (CON), an executive control network that includes regions of the dorsal anterior cingulate cortex (dACC) and insula (1). Disuse-driven increases in functional connectivity (FC) were specific to the CON and somatomotor networks and did not involve any other networks, such as the salience, frontoparietal, or default mode networks. Censoring and modeling analyses showed that FC increases during casting were mediated by large, spontaneous activity pulses that appeared in the disused motor regions and CON control regions. During limb constraint, disused motor circuits appear to enter a standby mode characterized by spontaneous activity pulses and strengthened connectivity to CON executive control regions.SignificanceMany studies have examined plasticity in the primary somatosensory and motor cortex during disuse, but little is known about how disuse impacts the brain outside of primary cortical areas. We leveraged the whole-brain coverage of resting-state functional MRI (rs-fMRI) to discover that disuse drives plasticity of distant executive control regions in the cingulo-opercular network (CON). Two complementary analyses, pulse censoring and pulse addition, demonstrated that increased functional connectivity between the CON and disused motor regions was driven by large, spontaneous pulses of activity in the CON and disused motor regions. These results point to a previously unknown role for the CON in supporting motor plasticity and reveal spontaneous activity pulses as a novel mechanism for reorganizing the brain’s functional connections.
A Geometric Theory Integrating Human Binocular Vision with Eye movement
Authors: Turski Jacek 
Published: September 2020

AbstractA theory of the binocular system with asymmetric eyes (AEs) is developed in the framework of bicentric perspective projections. The AE accounts for the eyeball’s global asymmetry produced by the foveal displacement from the posterior pole, the main source of the eye’s optical aberrations, and the crystalline lens’ tilt countering some of these aberrations. In this theory, the horopter curves, which specify retinal correspondence of binocular single vision, are conic sections resembling empirical horopters. This advances the classic model of empirical horopters as conic sections introduced in an ad hoc way by Ogle in 1932. In contrast to Ogle’s theory, here, anatomically supported horopteric conics vary with the AEs’ position in the visual plane of bifoveal fixations and their transformations are visualized in a computer simulation. Integrating horopteric conics with eye movements can help design algorithms for maintaining a stable perceptual world from visual information captured by a mobile robot’s camera-head. Further, this paper proposes a neurophysiologically meaningful definition for the eyes’ primary position, a concept which has remained elusive despite its theoretical importance to oculomotor research. Finally, because the horopteric conic’s shape is dependent on the AE’s parameters, this theory allows for changes in retinal correspondence which is usually considered preformed and stable.
The need for high-quality oocyte mitochondria at extreme ploidy dictates germline development
Authors: Colnaghi Marco , Pomiankowski Andrew , Lane Nick 
Published: September 2020

ABSTRACTSelection against deleterious mitochondrial mutations is facilitated by germline processes, lowering the risk of genetic diseases. How selection works is disputed: experimental data are conflicting and previous modelling work has not clarified the issues. Here we develop computational and evolutionary models that compare the outcome of selection at the level of individuals, cells and mitochondria. Using realisticde novomutation rates and germline development parameters, the evolutionary model predicts the observed prevalence of mitochondrial mutations and diseases in human populations. We show the importance of organelle-level selection, seen in the selective pooling of mitochondria into the Balbiani body, in achieving high-quality mitochondria at extreme ploidy in mature oocytes. Alternative mechanisms debated in the literature, bottlenecks and follicular atresia, are unlikely to account for the clinical data, because neither process effectively eliminates mitochondrial mutations under realistic conditions. Our findings explain the major features of female germline architecture, notably the longstanding paradox of over-proliferation of primordial germ cells followed by massive loss. The near-universality of these processes across animal taxa makes sense in light of the need to maintain mitochondrial quality at extreme ploidy in mature oocytes, in the absence of sex and recombination.
Single-vessel cerebral blood flow fMRI to map blood velocity by phase-contrast imaging
Authors: Chen Xuming , Jiang Yuanyuan , Choi Sangcheon , Pohmann Rolf , Scheffler Klaus , Kleinfeld David , Yu Xin 
Published: September 2020

AbstractCurrent approaches to high-field fMRI provide two means to map hemodynamics at the level of single vessels in the brain. One is through changes in deoxyhemoglobin in venules, i.e., blood oxygenation level-dependent (BOLD) fMRI, while the second is through changes in arteriole diameter, i.e., cerebral blood volume (CBV) fMRI. Here we introduce cerebral blood flow (CBF)-fMRI, which uses high-resolution phase-contrast MRI to form velocity measurements of flow and demonstrate CBF-fMRI in single penetrating microvessels across rat parietal cortex. In contrast to the venule-dominated BOLD and arteriole-dominated CBV fMRI signal, the phase-contrast -based CBF signal changes are highly comparable from both arterioles and venules. Thus, we have developed a single-vessel fMRI platform to map the BOLD, CBV, and CBF from penetrating microvessels throughout the cortex. This high-resolution single-vessel fMRI mapping scheme not only enables the vessel-specific hemodynamic mapping in diseased animal models but also presents a translational potential to map vascular dementia in diseased or injured human brains with ultra-high field fMRI.SummaryWe established a high-resolution PC-based single-vessel velocity mapping method using the high field MRI. This PC-based micro-vessel velocity measurement enables the development of the single-vessel CBF-fMRI method. In particular, in contrast to the arteriole-dominated CBV and venule-dominated BOLD responses, the CBF-fMRI shows similar velocity changes in penetrating arterioles and venules in activated brain regions. Thus, we have built a noninvasive single-vessel fMRI mapping scheme for BOLD, CBV, and CBF hemodynamic parameter measurements in animals.
Differences in Chemo-signaling Compound-Evoked Brain Activity in Male and Female Young Adults: A Pilot Study in the Role of Sexual Dimorphism in Olfactory Chemo-Signaling
Authors: Ottesen Taylor D. , Davis Kevin C. , Hobbs Landon K. , Muncy Nathan M. , Stevens Nicholas M. , Anderson Malia , Johnson Paula , Doxey Christopher R. , Richter Kent , Wang Haonan , Hartley Randy , Kirwan C. Brock , Wisco Jonathan J. 
Published: September 2020

AbstractIntroductionPrevious studies have shown that putative pheromones 4,16-androstadien-3-one (AND) and estra-1,3,5(10),16-tetraen-3-ol (EST) cause activation in the preoptic area/anterior hypothalamus in men and women. Sex differences in neural activation patterns have been demonstrated when participants are subject to pheromone stimulation; however, whether other compounds give rise to similar neural activity has not been completely investigated.MethodsTwenty-nine young adults [16 female (21.3+/−0.54; mean yrs+/−SE), 13 male (22.85+/−0.42)] participated in a 3-block design, where participants were exposed to a scent (lavender), a synthetic male pheromone (4,16-androstadien-3b-ol; ALD), and a synthetic female pheromone (1,3,5(10),16-Estratetraen-3-ol; EST) via an automated olfactometer. Whole-brain, high-resolution (1.8mm3) functional MRI data from a Siemens Trio 3T MRI scanner were collected during all blocks. Five adults were excluded due to excessive movement. MANOVA analysis, a 2 × 3 multivariate model and analysis of 2×2 effects between sex and subsets of stimuli was done for activation over the whole brain and small volumes involved in olfaction.ResultsExploratory analysis of 2×2 effects between sex and subsets of stimuli exhibited significant interactions when assessing activations over the whole brain, and small volumes involved in olfaction. The left and right frontal poles (LFP, RFP) shows significant interaction when assessing sex with lavender and EST for whole brain analysis. For small volume analysis, the right orbitofrontal cortex (ROFC) exhibited a sex with lavender and ALD interaction, and a sex with lavender and EST interaction was observed in the left inferior frontal gyrus (LIFG). Main effects of sex, stimulus, or interaction show no differences analyzed using a 2 × 3 multivariate model.ConclusionThe study shows there is a sexually dimorphic response in the olfactory system to pheromones not previously studied. Scents like lavender do not have this same response. These distinct functional differences in activation patterns may be a result of neural development and maturation differences between sexes. Future studies should expand this pilot study and involve a younger demographic to accurately determine the age at which the olfactory response differentiates between males and females.