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#146 23-03-2024 PLAY THE MISIC 16T4. EL MAGAZINE DE LOS SABADOS, MUSICA, ENTRETENIMIENTO, RISAS, SECCIONES, ENTREVISTAS, VIAJES, MISTERIO, CURIOSIDADES Y MUCHO MAS. EMISION EN ONDA ARAGONESA.

Daily Practice: Many people find it beneficial to practice sleep meditation yoga on a daily basis. Consistency is often key to experiencing the full benefits of meditation, including improved sleep quality. Duration of Practice: The length of your sleep meditation sessions can vary. Some people prefer shorter sessions of 10-15 minutes, while others may opt for longer sessions, such as 30 minutes to an hour. Experiment with different durations to find what suits you best. Before Bed: Sleep meditation is often done before bedtime to help calm the mind and prepare the body for sleep. Incorporating it into your nightly routine can signal to your body that it's time to wind down. As Needed: You may not need to practice sleep meditation yoga every night. Some people find it helpful to incorporate it into their routine a few times a week or as needed, especially during periods of high stress or difficulty sleeping. Listen to Your Body: Pay attention to how your body and mind respond to your sleep meditation practice. If you find that it consistently helps you relax and improves your sleep, you may choose to continue or increase the frequency. If you feel that it's not making a significant impact or is causing discomfort, you might adjust the frequency or try different techniques.

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.05.05.539537v1?rss=1 Authors: Lotter, L. D., Saberi, A., Hansen, J. Y., Misic, B., Barker, G. J., Bokde, A. L. W., Desrivieres, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Bruehl, R., Martinot, J.-L., Paillere, M.-L., Artiges, E., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Hohmann, S., Froehner, J. H., Smolka, M. N., Vaidya, N., Walter, H., Whelan, R., Schumann, G., IMAGEN Consortium,, Nees, F., Banaschewski, T., Eickhoff, S. B., Dukart, J. Abstract: Human brain morphology undergoes complex developmental changes with diverse regional trajectories. Various biological factors influence cortical thickness development, but human data are scarce. Building on methodological advances in neuroimaging of large cohorts, we show that population-based developmental trajectories of cortical thickness unfold along patterns of molecular and cellular brain organization. During childhood and adolescence, distributions of dopaminergic receptors, inhibitory neurons, glial cell populations as well as features of brain metabolism explain up to 50% of variance associated with regional cortical thickness trajectories. Cortical maturation patterns in later life are best explained by distributions of cholinergic and glutamatergic systems. These observations are validated in longitudinal data from over 8,000 adolescents, explaining up to 59% of developmental change at population- and 18% at single-subject level. Integrating multilevel brain atlases with normative modeling and population neuroimaging provides a biologically and clinically meaningful path to understand typical and atypical brain development in living humans. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.03.16.532981v1?rss=1 Authors: Luppi, A. I., Singleton, S. P. I., Hansen, J. Y., Bzdok, D., Kuceyeski, A., Betzel, R., Misic, B. Abstract: Patterns of neural activity underlie human cognition. Transitions between these patterns are orchestrated by the brain's network architecture. What are the mechanisms linking network structure to cognitively relevant activation patterns? Here we implement principles of network control to investigate how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic engine. We also systematically incorporate neurotransmitter receptor density maps (18 receptors and transporters) and disease-related cortical abnormality maps (11 neurodegenerative, psychiatric and neurodevelopmental diseases; N = 17 000 patients, N = 22 000 controls). Integrating large-scale multimodal neuroimaging data from functional MRI, diffusion tractography, cortical morphometry, and positron emission tomography, we simulate how anatomically-guided transitions between cognitive states can be reshaped by pharmacological or pathological perturbation. Our results provide a comprehensive look-up table charting how brain network organisation and chemoarchitecture interact to manifest different cognitive topographies. This computational framework establishes a principled foundation for systematically identifying novel ways to promote selective transitions between desired cognitive topographies. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.03.02.530821v1?rss=1 Authors: Kebets, V., Piguet, C., Chen, J., Ooi, L. Q. R., Kirschner, M., Siffredi, V., Misic, B., Yeo, B. T. T., Bernhardt, B. Abstract: Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology (p) factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the p factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples, supporting generalizability, and robust to variations in analytical parameters. Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.03.01.530710v1?rss=1 Authors: Nelson, M. C., Royer, J., Leppert, I. R., Campbell, J. S. W., Schiavi, S., Jin, H., Tavakol, S., Vos de Wael, R., Rodriguez-Cruces, R., Pike, G. B., Bernhardt, B., Daducci, A., Misic, B., Tardif, C. L. Abstract: A central goal in neuroscience is the development of a comprehensive mapping between structural and functional brain features. Computational models support in vivo investigation of the mechanisms mediating this relationship but currently lack the requisite biological detail. Here, we characterize human structural brain networks weighted by multiple white matter microstructural features to assess their potential joint utilization in computational models. We report edge-weight-dependent spatial distributions, variance, small-worldness, rich club, hubs, as well as relationships with function, edge length and myelin. Contrasting networks weighted by the total intra-axonal cross-sectional area and myelin content of white matter tracts, we find opposite relationships with functional connectivity, an edge-length-independent inverse relationship with each other, and the lack of a canonical rich club in myelin-weighted networks. When controlling for edge length, tractometry-derived networks weighted by either tensor-based metrics or neurite density show no relationship with whole-brain functional connectivity. We conclude that structure-function brain models are likely to be improved by the co-utilization of structural networks weighted by total intra-axonal cross-sectional area and myelin content. We anticipate that the proposed microstructure-weighted computational modeling approach will support mechanistic understanding of the structure-function relationship of the human brain. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.01.23.525101v1?rss=1 Authors: Shafiei, G., Fulcher, B. D., Voytek, B., Satterthwaite, T. D., Baillet, S., Misic, B. Abstract: Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural activity, which can be captured by neurophysiological time-series. How spontaneous neurophysiological dynamics are organized across the cortex and how they arise from heterogeneous cortical micro-architecture remains unknown. Here we extensively profile regional neurophysiological dynamics across the human brain by estimating over 6,800 time-series features from the resting state magnetoencephalography (MEG) signal. We then map regional time-series profiles to a comprehensive multi-modal, multi-scale atlas of cortical micro-architecture, including microstructure, metabolism, neurotransmitter receptors, cell types and laminar differentiation. We find that the dominant axis of neurophysiological dynamics reflects characteristics of power spectrum density and linear correlation structure of the signal, emphasizing the importance of conventional features of electromagnetic dynamics while identifying additional informative features that have traditionally received less attention. Moreover, spatial variation in neurophysiological dynamics is co-localized with multiple micro-architectural features, including genomic gradients, intracortical myelin, neurotransmitter receptors and transporters, and oxygen and glucose metabolism. Collectively, this work opens new avenues for studying the anatomical basis of neural activity. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.19.519033v1?rss=1 Authors: Tanner, J., Faskowitz, J., Teixeira, A. S., Seguin, C., Coletta, L., Gozzi, A., Misic, B., Betzel, R. Abstract: The macroscale connectome is the network of physical, white-matter tracts between brain areas. The connections are generally weighted and their values interpreted as measures of communication efficacy. In most applications, weights are assigned based on diffusion parameters or inferred using a statistical model, although the model generally scales poorly limiting its applications to relatively small networks. In reality, the ground-truth weights are unknown, motivating the exploration of alternative edge weighted schemes. Here, we explore a simple regression-based, explanatory model that endows reconstructed fiber tracts with directed and signed weights. Benchmarking this method on Human Connectome Project data, we find that the model fits observed data well, outperforming a suite of null models. The estimated weights are subject-specific and highly reliable, even when fit using relatively few training samples. Next, we analyze the resulting network using graph-theoretic tools from network neuroscience, revealing bilaterally symmetric communities that span cerebral hemispheres. These communities exhibit a clear mapping onto known functional systems. We also study the shortest paths structure of this network, discovering that almost every edge participants in at least one shortest path. We also find evidence of asymmetric edge weights, that the network reconfigures in response to naturalistic stimuli, and that estimated edge weights differ with age. In summary, we offer a simple framework for weighting connectome data, demonstrating both its ease of implementation while benchmarking its utility for typical connectome analyses, including graph theoretic modeling and brain-behavior associations. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.14.520453v1?rss=1 Authors: Liu, Z.-Q., Shafiei, G., Baillet, S., Misic, B. Abstract: The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.12.02.518906v1?rss=1 Authors: Hansen, J. Y., Shafiei, G., Voigt, K., Liang, E., Cox, S. M., Leyton, M., Jamadar, S. D., Misic, B. Abstract: The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, and synchronized neural activity all represent brain connectivity, a comprehensive study of how these connectivity modes jointly reflect brain structure and function remains missing. Here we systematically integrate seven multimodal, multiscale brain connectivity profiles derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, and electrophysiology. We uncover a compact set of universal organizational principles through which brain geometry and neuroanatomy shape emergent connectivity modes. Connectivity modes also exhibit unique and diverse connection patterns, hub profiles, dominant gradients, and modular organization. Throughout, we observe a consistent primacy of molecular connectivity modes---namely correlated gene expression and receptor similarity---that map well onto multiple phenomena including the rich club and patterns of cortical abnormalities across 13 neurological, psychiatric, and neurodevelopmental disorders. Finally, we fuse all seven connectivity modes into a single multimodal network and show that it maps onto major organizational features of the brain including structural conenctivity, intrinsic functional networks, and cytoarchitectonic classes. Altogether, this work contributes to next-generation connectomics and the integrative study of inter-regional relationships. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.09.28.509962v1?rss=1 Authors: Milisav, F., Bazinet, V., Iturria-Medina, Y., Misic, B. Abstract: Applications of graph theory to the human brain network have led to the development of several models of how neural signaling unfolds atop its structure. Analytic measures derived from these communication models have mainly been used to extract global characteristics of brain networks, obscuring potentially informative inter-regional relationships. Here we develop a simple standardization method to investigate polysynaptic communication pathways between pairs of cortical regions. This procedure allows us to determine which pairs of nodes are topologically closer and which are topologically further than expected on the basis of their degree. We find that communication pathways delineate canonical intrinsic functional systems. By relating nodal communication capacity to meta-analytic probabilistic patterns of functional specialization, we also show that areas that are most closely integrated within the network are associated with higher-order cognitive functions. We find that these regions' proclivity towards functional integration could naturally arise from the brain's anatomical configuration through evenly distributed connections among multiple specialized communities. Throughout, we consider the effect of the network's spatial embedding on inter-regional communication capacity. Altogether, the present findings uncover a relationship between polysynaptic communication pathways and the brain's intrinsic functional organization and demonstrate that network integration facilitates cognitive integration. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.09.18.508425v1?rss=1 Authors: Vogel, J. W., Alexander-Bloch, A., Wagstyl, K., Bertolero, M., Markello, R., Pines, A., Sydnor, V. J., Diaz-Papkovich, A., Hansen, J., Evans, A. C., Bernhardt, B., Misic, B., Satterthwaite, T., Seidlitz, J. Abstract: Cortical arealization arises during neurodevelopment from the confluence of molecular gradients representing patterned expression of morphogens and transcription factors. However, how these gradients relate to adult brain function, and whether they are maintained in the adult brain, remains unknown. Here we uncover three axes of topographic variation in gene expression in the adult human brain that specifically capture previously identified rostral-caudal, dorsal-ventral and medial-lateral axes of early developmental patterning. The interaction of these spatiomolecular gradients i) accurately predicts the location of unseen brain tissue samples, ii) delineates known functional territories, and iii) explains the topographical variation of diverse cortical features. The spatiomolecular gradients are distinct from canonical cortical functional hierarchies differentiating primary sensory cortex from association cortex, but radiate in parallel with the axes traversed by local field potentials along the cortex. We replicate all three molecular gradients in three independent human datasets as well as two non-human primate datasets, and find that each gradient shows a distinct developmental trajectory across the lifespan. The gradients are composed of several well known morphogens (e.g., PAX6 and SIX3), and a small set of genes shared across gradients are strongly enriched for multiple diseases. Together, these results provide insight into the developmental sculpting of functionally distinct brain regions, governed by three robust transcriptomic axes embedded within brain parenchyma. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.08.26.505274v1?rss=1 Authors: Hänisch, B., Hansen, J. Y., Bernhardt, B. C., Eickhoff, S. B., Dukart, J., Misic, B., Valk, S. L. Abstract: The relationship between brain areas based on neurotransmitter receptor and transporter molecule expression patterns may provide a link between brain structure and its function. Here, we studied the organization of the receptome, a measure of regional neurotransmitter receptor/transporter molecule (NTRM) similarity, derived from in vivo PET imaging studies of 19 different receptors and transporters. Nonlinear dimensionality reduction revealed three main spatial gradients of receptor similarity in the cortex. The first gradient differentiated the somato-motor network from the remaining cortex. The second gradient spanned between temporo-occipital and frontal anchors, differentiating visual and limbic networks from attention and control networks, and the third receptome gradient was anchored between the occipital and temporal cortices. In subcortical structures, the receptome delineated a striato-thalamic axis, separating functional communities. Moreover, we observed similar organizational principles underlying receptome differentiation in cortex and subcortex, indicating a link between subcortical and cortical NTRM patterning. Overall, we found that the cortical receptome shared key organizational traits with brain structure and function. Node-level correspondence of receptor similarity to functional, microstructural, and diffusion MRI-based measures decreased along a primary-to-transmodal gradient. Compared to primary and paralimbic regions, we observed higher receptomic diversification in unimodal and heteromodal regions, possibly supporting functional flexibility. In sum, we show how receptor similarity may form an additional organizational layer of human brain architecture, bridging brain structure and function. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

Branka Injac Misic is an expert in UX, or user experience. She's a cofounder of GigSuper, tailored for those who have their own business or don't have a regular employment, so super contributions tend to be forgotten. Her role is to make only customer experience easier. On top of that, she has another business One Tiny Tribe. She discusses with host Emma McQueen how she's embraced the philosophy of 1% continuous improvement. GigSuper https://www.gigsuper.com.au/  One Tiny Tribe https://www.onetinytribe.com/ Emma McQueen – https://emmamcqueen.com.au  For a copy of Emma's book, 'Go-getter: Raise your mojo, shift your mindset and thrive' – https://www.emmamcqueen.com.au/book/  See omnystudio.com/listener for privacy information.

Music of the heart. A land where we will never grow old.

Matt, huggy and applehead talk about Matt's party. The game what applehead would do. Misic news and new music recommendations.

Classic rock mix

Have you ever looked, critically, at the industry you're in and thought “this whole shebang needs a massive, fat, juicy shake up”? Most of us have. In fact, most of us are in business because we've seen a gap, and we think do you know what? I reckon I could fill that gap, or do a better job, or just I see a small proportion of the clients and customers who use that particular thing and I don't think they're being served the way they could be. So, we start something. Usually, it's a small something. Not small for us, but in the grand scheme of things, not like INDUSTRY SHAKING either. Just our corner of the world… jiggling a bit. Not Branka Injac Misic. Branka set her sights on the Superannuation industry. Can you imagine? And then proceeded to launch something a little left of centre, something that had never really been done before. Can you imagine that? Something that had never really been done before, in a world where there are no original ideas, where everything's been done before, in some fashion. And really, how quirky can superannuation get? Well, this is a little bit of that story. And a little bit of just how different one idea can be.

Let's get together for some good old entertainment talk on this week's edition of the DVD Weekly Podcast. 

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A FINE SELECTION OFF TECHNO CHOSEN BY THE NIGHTSTREAMER FOR TECHNOMATICSOUNDS @HOMESTUDIODDJM

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A FINE SELECTION OFF TECHNO CHOSEN BY THE NIGHTSTREAMER FOR TECHNOMATICSOUNDS @HOMESTUDIODDJM

VirtualDJ Broadcast

A FINE SELECTION OFF TECHNO CHOSEN BY THE NIGHTSTREAMER FOR TECHNOMATICSOUNDS @HOMESTUDIODDJM

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.10.350876v1?rss=1 Authors: Suarez, L. E., Richards, B. A., Lajoie, G., Misic, B. Abstract: The connection patterns of neural circuits in the brain form a complex network. Collective signaling within the network manifests as patterned neural activity, and is thought to support human cognition and adaptive behavior. Recent technological advances permit macro-scale reconstructions of biological brain networks. These maps, termed connectomes, display multiple non-random architectural features, including heavy-tailed degree distributions, segregated communities and a densely interconnected core. Yet, how computation and functional specialization emerge from network architecture remains unknown. Here we reconstruct human brain connectomes using in vivo diffusion-weighted imaging, and use reservoir computing to implement these connectomes as artificial neural networks. We then train these neuromorphic networks to learn a cognitive task. We show that biologically realistic neural architectures perform optimally when they display critical dynamics. We find that performance is driven by network topology, and that the modular organization of large-scale functional systems is computationally relevant. Throughout, we observe a prominent interaction between network structure and dynamics, such that the same underlying architecture can support a wide range of learning capacities across dynamical regimes. This work opens new opportunities to discover how the network organization of the brain optimizes cognitive capacity, conceptually bridging neuroscience and artificial intelligence. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.03.366419v1?rss=1 Authors: Vainik, U., Paquola, C., Wang, X., Zheng, Y.-Q., Bernhardt, B., Misic, B., Dagher, A. Abstract: Human brain plastically adapts to environmental demands. Here, we propose that naturally occuring plasticity in certain brain areas should be reflected by higher environmental influence and therefore lower heritability of the structure of those brain areas. Mesulam's (1998) seminal overview proposed a hierarchy of plasticity, where higher-order multimodal areas should be more plastic than lower-order sensory areas. Using microstructural and functional gradients as proxies for Mesulam's hierarchy, we seek to test whether these gradients predict heritability of brain structure. We test this model simultaneously across multiple measures of cortical structure and microstructure derived from structural magnet resonance imaging. We also account for multiple other explanations of heritability differences, such as signal-to-noise ratio and spatial autocorrelation. We estimated heritability of brain areas using 984 participants from the Human Connectome Project. Multi-level modelling of heritability differences demonstrated that heritability is explained by both signal quality, as well as by the primary microstructural gradient. Namely, sensory areas had higher heritability and limbic/heteromodal areas had lower heritability. Given the increasing availability of genetically informed imaging data, heritability could be a quick method assess brain plasticity. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.15.341495v1?rss=1 Authors: Kiar, G., Chatelain, Y., de Oliveira Castro, P., Petit, E., Rokem, A., Varoquaux, G., Misic, B., Evans, A. C., Glatard, T. Abstract: The analysis of brain-imaging data requires complex and often non-linear transformations to support findings on brain function or pathologies. And yet, recent work has shown that variability in the choices that one makes when analyzing data can lead to quantitatively and qualitatively different results, endangering the trust in conclusions. Even within a given method or analytical technique, numerical instabilities could compromise findings. We instrumented a structural-connectome estimation pipeline with Monte Carlo Arithmetic, a technique to introduce random noise in floating-point computations, and evaluated the stability of the derived connectomes, their features, and the impact on a downstream analysis. The stability of results was found to be highly dependent upon which features of the connectomes were evaluated, and ranged from perfectly stable (i.e. no observed variability across executions) to highly unstable (i.e. the results contained no trustworthy significant information). While the extreme range and variability in results presented here could severely hamper our understanding of brain organization in brain-imaging studies, it also leads to an increase in the reliability of datasets. This paper highlights the potential of leveraging the induced variance in estimates of brain connectivity to reduce the bias in networks alongside increasing the robustness of their applications in the detection or classification of individual differences. This paper demonstrates that stability evaluations are necessary for understanding error and bias inherent to scientific computing, and that they should be a component of typical analytical workflows. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.02.323030v1?rss=1 Authors: Bazinet, V., Vos de Wael, R., Hagmann, P., Bernhardt, B. C., Misic, B. Abstract: Signaling events in brain networks unfold over multiple topological scales. Areas may exchange information over local circuits, primarily encompassing direct neighbours and areas with similar functions. Alternatively, areas may exchange information over global circuits, encompassing more distant neighbours with increasingly dissimilar functions. In the present report, we study communication in cortico-cortical networks by characterizing a region's structural embedding over a continuous range of topological scales. We find that the centrality of a brain region varies across scales and that connection diversity determines scale preference, with less diverse unimodal regions showing preference for local communication and more diverse multimodal regions showing preferences for global communication. These preferences manifest as scale-specific structure-function relationships, with unimodal areas showing optimal coupling at local scales and multimodal regions showing optimal coupling at global scales. Altogether, the present findings reveal how functional hierarchies emerge from hidden but highly structured multiscale connection patterns. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.13.249797v1?rss=1 Authors: Markello, R., Misic, B. Abstract: Technological and data sharing advances have led to a proliferation of high-resolution structural and functional maps of the brain. Modern neuroimaging research increasingly depends on identifying correspondences between the topographies of these maps; however, most standard methods for statistical inference fail to account for their spatial properties. Recently, multiple methods have been developed to generate null distributions that preserve the spatial autocorrelation of brain maps and yield more accurate statistical estimates. Here, we comprehensively assess the performance of ten such published null frameworks in controlling the family-wise error rate in statistical analyses of parcellated neuroimaging data. We apply each framework on two prototypical analyses: (1) testing the correspondence between brain maps (e.g., correlating two activation maps) and (2) testing the spatial distribution of a feature within a partition (e.g., quantifying the specificity of an activation map within an intrinsic functional network). In agreement with previous reports, we find that naive null models that do not preserve spatial autocorrelation consistently yield unrealistically liberal statistical estimates. Performance of spatially-constrained null models depended on research context; model performance was generally consistent when testing correspondences between brain maps, but considerably more variable when testing partition specificity. Throughout these analyses, we observe minimal impact of parcellation and parcel resolution on null model performance. Altogether, our results highlight the need for continued development and standardization of statistically-rigorous methods for comparing brain maps. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.06.237941v1?rss=1 Authors: Boshkovski, T., Kocarev, L., Cohen-Adad, J., Misic, B., Lehericy, S., Stikov, N., Mancini, M. Abstract: Myelin plays a crucial role in how well information travels between brain regions. Many neurological diseases affect the myelin in the white matter, making myelin-sensitive metrics derived from quantitative MRI of potential interest for early detection and prognosis of those conditions. Complementing the structural connectome, obtained with diffusion MRI tractography, with a myelin sensitive measure could result in a more complete model of structural brain connectivity and give better insight into how the myeloarchitecture relates to brain function. In this work we weight the connectome by the longitudinal relaxation rate (R1) as a measure sensitive to myelin, and then we assess its added value by comparing it with connectomes weighted by the number of streamlines (NOS). Our analysis reveals differences between the two connectomes both in the distribution of their weights and the modular organization. Additionally, the rank-based analysis shows that R1 is able to separate different classes (unimodal and transmodal), following a functional gradient. Overall, the R1-weighted connectome provides a different perspective on structural connectivity taking into account white matter myeloarchitecture. Copy rights belong to original authors. Visit the link for more info

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.16.203026v1?rss=1 Authors: Hansen, J. Y., Markello, R. D., Vogel, J. W., Seidlitz, J., Bzdok, D., Misic, B. Abstract: Regulation of gene expression drives protein interactions that govern synaptic wiring and neuronal activity. The resulting coordinated activity among neuronal populations supports complex psychological processes, yet how gene expression shapes cognition and emotion remains unknown. Here we directly bridge the microscale and macroscale by mapping gene expression patterns to functional activation patterns across the cortical sheet. Applying unsupervised learning to the Allen Human Brain Atlas and Neurosynth databases, we identify a ventromedial-dorsolateral gradient of gene assemblies that separate affective and cognitive domains. This topographic molecular-psychological signature reflects the hierarchical organization of the neocortex, including systematic variations in cell type, myeloarchitecture, laminar differentiation, and intrinsic network affiliation. In addition, this molecular-psychological signature is related to individual differences in cognitive performance, strengthens over neurodevelopment, and can be replicated in two independent repositories. Collectively, our results reveal spatially covarying transcriptomic and cognitive architectures, highlighting the influence that molecular mechanisms exert on psychological processes. Copy rights belong to original authors. Visit the link for more info

Koko levytysuransa kattavan kokoelmalevyn julkaissut Milana Misic sanoo kasvaneensa siten, että ymmärtää oman tietonsa, taitonsa ja myöskin taitamattomuutensa. Hän kertoo miten musiikkibisnes yksinkertaisti yleisöä vielä hänen uransa alussa, miksi lopetti laulamisen vuonna 1994 ja miksei hän levyttänyt äitinsä kappaleita. Isänsä kanssa Milana sanoo taas olevansa mielummin lavalla kuin niin, että hän itse on lavalla ja isä yleisössä. See acast.com/privacy for privacy and opt-out information.

So many of us find that we are avoiding our negative emotions by buffering. Buffering is eating, drinking, shopping, scrolling or anything we do to distract ourselves from what is really happening inside of us. There is always a negative consequence to these behaviors. To be able to change this and really live an authentic life, we have to recognize it and then choose to stop. When we stop, all the negative emotions will still be there, but we will be ready for them. We are strong. We are confident. We can live our best lives. 100 Allowed Urges Worksheet: http://smoothstonescoaching.com/100-urges If you have any questions, let me know here: http://smoothstonescoaching.com/work-with-me If you would like to share your baby's story on the podcast, submit here: http://smoothstonescoaching.com/podcast-submissions For a free 30 minute session, click here to schedule:  http://smoothstonescoaching.com/free_mini Misic by Zingdog on Pond5 Photo by Allef Vinicius on Unsplash

In this episode, we talk with Sean Gasaway, who is an award-winning singer/songwriter, publisher, record executive, and record producer also known as GASOLINE. Sean was born on the Mississippi Gulf Coast, and now resides in Nashville, TN.  Sean discusses how he became a full-time singer/songwriter and how he appeared in front of 75,000 Pittsburgh Steeler Fans at […]

I sitt første norskspråklige injuerju intervjuer Per og Henrik en gruppeterapaut hos Kirkens Bymisjon som er vokalist i et lite band på fritiden. Han her sterke meninger om hva musikk var før og hva det er nå. De gamle mimrer fra musikkens "barndom". Det kommer også et sterkt musikalsk innslag i form av en liten del av refrenget til en kjent sang fra et kjent norsk band. Gjør klar en skål popcorn eller annet godteri og hør magien i en diskusjon om musikk flyte gjennom ørene. Vi prekæs neste gang! Dette er kjempegøy!----In their first interview in Norwegian, Per, and Henrik interview a group therapist at the Kirkens Bymisjon who is a vocalist in a small band in his spare time, and He has strong opinions about what music was before and what it is now. The old men reminisce about the "childhood" of music. There is also a strong musical element in the form of a small part of the chorus a well-known song from a well-known Norwegian band. Prepare a bowl of popcorn or different candy and listen to the magic in a discussion about music flowing through your ears. We`ll talk to you next time! This is great fun!

Enjoy the episode - Happy Marketing! www.marketingstudylab.co.uk https://www.linkedin.com/in/petersumpton/ https://www.facebook.com/groups/marketingstudylab/ https://twitter.com/cousinp81(@cousinp81) Over the coming weeks, not only do we have some amazing guests to chat with, but we’ll be taking a look at the Marketing Mix, more fondly known as the 7 P’s – Product, Price, Place, Promotion, Process, People and Physical Evidence. This week we start with product. But first we need to have a little chat with Branka Injac Misic. Branka Injac Misic is the CMO of GigSuper, a company that helps the self-employed manage their money. Sound boring? Well it’s Branka job to turn taxes into something we should all be excited about by looking after the community of customers that use GigSuper. All this while also running her own company – onetinytribe.com that offer prints, posters and artwork to inspire and promote adventure amongst mums and baby boys.   Takeaways - Streamlining a customers experience is hugely important and can make a massive difference, especially in complex industries such as finance. Branka breaks down the perceptions and walls that are built around the complex and keeps it as simple as possible. - CX and UX are different. A user experience (UX) usually sits within the Customer Experience (CX). This is the usability of the product or service, whereas the CX covers EVERYTHING – from what the customer hears and does, to the branding the journey and the main touch points throughout this journey. - Base everything on customer research. The clue is in the title – CX! It is their (the customers) experience and you need to under what they need and are looking for to provide the right experience.   Top Tip – 7P’s - Product The product element of a marketing mix is easy to understand. It’s the product you’re selling to solve a customers problem. Without this, or some carnation of it such as a service, you are basically trying to sell air!.... unless air is actually what you are selling and then this becomes your product. Within the product section of a Marketing Mix you need to consider what the product is, what it does, why it does this and why people need it. In terms of its position within the overall mix, the product will help to establish the pricing structure, how it will be sold (i.e. through what channels) and the features and benefits it will invariably be sold upon.  LinksBranka Injac Misic https://www.gigsuper.com.aubranka@gigsuper.com.au Books:Contagious - Jonah Berger: https://amzn.to/2HZ1F4N Music Featured on this Podcast: Sleepy in the Garden Lobo Loco www.musikbrause.de Creative Commons License

George Misic, KE8RN, is an RF and analog engineer by training, a collector of vintage American amateur radio equipment, and an early pioneer in the development of MRI or magnetic resonance imaging machines and whose name is on 38 patents around this technology.  George is a frequent author of articles for QST and Electric Radio Magazines, and is my QSO Today.

Доброго времени суток дорогие друзья и слушатели нашего любимого и желанного сайта promodj.com С удовольствием представим вам и вашему вниманию новый Mix От ди-джея и музыканта резидента музыкального Лейбла. Resident.FM Promo Start GTI Radio Ваши уши ожидают услышать UNDERGROUND HOUSE MISIC #MARCH #2019 Это будет отличное настроение и море позитива!!! Это не просто музыка, и не просто чувства. Всем заранее спасибо за прослушивание, лайки и скачивание _______________________BOOKING______________________ Телефон: RU +79629071272. UA +380968682857 Skype: kaukoff1 Сайт: bananastreet.ru/Dj-KaukOFF VK: vk.com/dj_kaukoff Facebook: www.facebook.com/DjKaukOFF?ref… Twitter: twitter.com/kaiuk2007 Instagram: www.instagram.com/dj_kaukoff_o… Instagram: www.instagram.com/custom_audio… Mixcloud: www.mixcloud.com/andrey-kayuk/… 1 - Sante Sansone - I Want Ya (Original Mix) (05:41) 2 - C_Sky - Brasilian Groove (Original Mix) (07:45) 3 - Jay de Lys - Yo Hanzz Up (Original Mix) (06:37) 4 - Paul Cart - Tha Bag (Original Mix) (05:59) 5 - Mauro Venti - Number One (Original Mix) (06:58) 6 - Marco Anzalone - Burning (Original Mix) (06:41) 7 - Brokenears - Try To Believe (Original Mix) (06:29) 8 - Rawley - See Yah (Original Mix) (05:58) 9 - Wolf Jay - My House (Original Mix) (05:45) 10 - Jacopo Ferrari - Norman (Original Mix) (06:47)

Доброго времени суток дорогие друзья и слушатели нашего любимого и желанного сайта promodj.com С удовольствием представим вам и вашему вниманию новый Mix От ди-джея и музыканта резидента музыкального Лейбла. Resident.FM Promo Start GTI Radio Ваши уши ожидают услышать UNDERGROUND HOUSE MISIC #MARCH #2019 Это будет отличное настроение и море позитива!!! Это не просто музыка, и не просто чувства. Всем заранее спасибо за прослушивание, лайки и скачивание _______________________BOOKING______________________ Телефон: RU +79629071272. UA +380968682857 Skype: kaukoff1 Сайт: bananastreet.ru/Dj-KaukOFF VK: vk.com/dj_kaukoff Facebook: www.facebook.com/DjKaukOFF?ref… Twitter: twitter.com/kaiuk2007 Instagram: www.instagram.com/dj_kaukoff_o… Instagram: www.instagram.com/custom_audio… Mixcloud: www.mixcloud.com/andrey-kayuk/… 1 - Sante Sansone - I Want Ya (Original Mix) (05:41) 2 - C_Sky - Brasilian Groove (Original Mix) (07:45) 3 - Jay de Lys - Yo Hanzz Up (Original Mix) (06:37) 4 - Paul Cart - Tha Bag (Original Mix) (05:59) 5 - Mauro Venti - Number One (Original Mix) (06:58) 6 - Marco Anzalone - Burning (Original Mix) (06:41) 7 - Brokenears - Try To Believe (Original Mix) (06:29) 8 - Rawley - See Yah (Original Mix) (05:58) 9 - Wolf Jay - My House (Original Mix) (05:45) 10 - Jacopo Ferrari - Norman (Original Mix) (06:47)

Read the complete transcription on The Sales Game Changers Podcast website. ERIC'S FINAL TIP TO EMERGING SALES LEADERS: "You're going to have times where you're really in a funk. Take a step back, think about some of the good wins that you've had for those days. Take a step back and say, "I've done this before, I've been in this situation before" from a mentality standpoint and say, "I'm going to really sell my way out of it.” That will work. Eric Misic is the VP of Business Development at Bear Analytics. Prior to starting Bear Analytics he held business development leadership role at the Biotechnology Innovation Organization and the Convention Management Group.

Arlo & Co is a destination for personalized and meaningful gifts. On today's episode, we chat with Branka Injac Misic, CMO of Arlo & Co. She discusses how to train your customer service staff to prioritize empathy and create conversation in your emails for a higher sales return. After all, the goal is to ensure the customer permeates throughout the whole company. 

The gang is back and giddy as schoolgirls. Doc gets an encore. Don't sign your name in perfect cursive. Sam has cheese in his pocket. Dirty Ass. Slave Labor. Pierre is still a conspiracy guy. Ask Dr. Doc. Call the comment line at (337) 366-1606. Thanks for listening.

Listen In!

The gang is back and kind of pillish. Kind of short because Sam's back is hurting. Call the comment line at (337) 366-1606. Thanks for listening.

A mix of conscious party songs to get you ready for the new year!

A mix of conscious party songs to get you ready for the new year!

Idag träffar Lina Nielsen samtalsterapeuten Anna Fant Misic. De pratar bland annat om balansen mellan att ha fokus och inte ta allt så allvarligt, om psykisk hälsa och ohälsa och vad man ska göra om en vän mår dåligt.

Yes, we're talking about another MVVM framework today, but this one comes with a twist! In this episode we talk to Stanko Nikolic and Bojan Misic about OpenMVVM, an interesting framework they've been working on that combines Xamarin and C# with HTML5 and web views to create a flexible and powerful cross-platform app framework. Join us for a unique approach to cross-platform development with Xamarin! Special Guests: Bojan Misic and Stanko Nikolic.

New Music Monday

Друзья всем привет продолжаем серию миксов под названием HOUSE MUSIC WILL NEVER DIE ,это будет сочный музыкальный коктейль из новинок танцевальной музыки ,микс записан в стиле Tech House ,так же будем использовать как можно больше разных музыкальных направлений никаких границ не будет ведь HOUSE MUSIC WILL NEVER DIE ))))))!!! ПОЕХАЛИ ДРУЗЬЯ!! Если вам будет интересен Треклист пишите, в дальнейшем возможно будем выкладывать !!! И конечно же Если понравилось ЖМИТЕ PR!!ОРГАНИЗАЦИЯ ГАСТРОЛЕЙ ATOM MIX8 904 972 36 56(ПАВЕЛ)8 922 461 09 08 (МАКС) новый-1 @ ATOM MIX ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY ATOM MIX HOUSE MISIC WILL NEVER DIE -ANOTHER DAY

Join Steve Misic from Online Trading Academy as he discusses sector rotation strategies using ETFs and options.

Join Steve Misic from Online Trading Academy as he discusses sector rotation strategies using ETFs and options.

Join Steve Misic from Online Trading Academy as he discusses sector rotation strategies using ETFs and options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic of Online Trading Academy he reviews several popular chart patterns for trading these patterns using ISE FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic from Online Trading Academy for a session covering the daily preparation necessary for trading FX Options.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.

Join Steve Misic, a leading instructor on Forex and equities, as he provides his perspective on the best hedging strategies.