scholarly journals Conflicto y violencia. Conceptos y significados. Efectos y alcance en la escuela / Conflict and Violence. Concepts and Meanings. Effects and Reach at School

2019 ◽  
Vol 6 (3) ◽  
pp. 153-163
Author(s):  
Jesús Fernando Pérez Lorenzo
Keyword(s):  
Brain Structure ◽  
Brain Regions ◽  
Brain Organization ◽  
Social Nature ◽  
Violent Behaviors ◽  
The Brain

ABSTRACTPerhaps since the time of Darwin scientists have tried to clarify the meaning of violence from an evolutionary configuration (Lorenz, 1967). Currently neurologists begin to extract the different brain processes that unleash the various violent behaviors. Current brain scanning techniques identify brain regions involved in the ordering of emotions and reactions. Professor Richard Davidson notes that not all individuals are capable of facing aggression and anger equally, so that the brain structure of some people induces violence (Goleman, 2008). Anyway this should not be understood as being born violent, but a series of elements in hodgepodge of genetic and social nature is forging a brain organization that trains in more or less hierarchy the different aggressive and violent exaltations (Iglesias, 2000).RESUMENQuizás desde los tiempos de Darwin los científicos han tratado de aclarar el significado de la violencia desde una configuración evolutiva (Lorenz, 1967). Actualmente los neurólogos empiezan a extraer los distintos procesos cerebrales que desatan las diversas conductas violentas. Las actuales técnicas de exploración cerebral identifican regiones cerebrales implicadas en la ordenación de las emociones y reacciones. El profesor Richard Davidson recoge que no todas los individuos son capaces de afrontar por igual la agresividad y la furia, por lo que la estructura cerebral de algunas personas le induce a la violencia (Goleman, 2008). De cualquier forma esto no debe ser entendido como que se nace violento, sino que una serie de elementos en mezcolanza de índole genética y social va fraguando una organización cerebral que capacita en más o menos jerarquía las distintas exaltaciones agresivas y violentas (Iglesias, 2000).

scholarly journals The Cross-Modal Effects of Sensory Deprivation on Spatial and Temporal Processes in Vision and Audition: A Systematic Review on Behavioral and Neuroimaging Research since 2000

2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Laura Bell ◽  
Lisa Wagels ◽  
Christiane Neuschaefer-Rube ◽  
Janina Fels ◽  
Raquel E. Gur ◽  
...  
Keyword(s):  
Systematic Review ◽  
Temporal Processing ◽  
Neural Plasticity ◽  
Sensory Deprivation ◽  
Brain Regions ◽  
Behavioral Performance ◽  
Brain Organization ◽  
Processing Resources ◽  
The Cross ◽  
The Brain

One of the most significant effects of neural plasticity manifests in the case of sensory deprivation when cortical areas that were originally specialized for the functions of the deprived sense take over the processing of another modality. Vision and audition represent two important senses needed to navigate through space and time. Therefore, the current systematic review discusses the cross-modal behavioral and neural consequences of deafness and blindness by focusing on spatial and temporal processing abilities, respectively. In addition, movement processing is evaluated as compiling both spatial and temporal information. We examine whether the sense that is not primarily affected changes in its own properties or in the properties of the deprived modality (i.e., temporal processing as the main specialization of audition and spatial processing as the main specialization of vision). References to the metamodal organization, supramodal functioning, and the revised neural recycling theory are made to address global brain organization and plasticity principles. Generally, according to the reviewed studies, behavioral performance is enhanced in those aspects for which both the deprived and the overtaking senses provide adequate processing resources. Furthermore, the behavioral enhancements observed in the overtaking sense (i.e., vision in the case of deafness and audition in the case of blindness) are clearly limited by the processing resources of the overtaking modality. Thus, the brain regions that were previously recruited during the behavioral performance of the deprived sense now support a similar behavioral performance for the overtaking sense. This finding suggests a more input-unspecific and processing principle-based organization of the brain. Finally, we highlight the importance of controlling for and stating factors that might impact neural plasticity and the need for further research into visual temporal processing in deaf subjects.

scholarly journals The Antennal Pathway of Dragonfly Nymphs, from Sensilla to the Brain

Insects ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 886
Author(s):  
Silvana Piersanti ◽  
Manuela Rebora ◽  
Gianandrea Salerno ◽  
Sylvia Anton
Keyword(s):  
Brain Structure ◽  
Antennal Lobe ◽  
Sensory Information ◽  
Brain Structures ◽  
Brain Regions ◽  
Adult Brain ◽  
Published Data ◽  
Antennal Sensilla ◽  
Aquatic Life ◽  
The Brain

Dragonflies are hemimetabolous insects, switching from an aquatic life style as nymphs to aerial life as adults, confronted to different environmental cues. How sensory structures on the antennae and the brain regions processing the incoming information are adapted to the reception of fundamentally different sensory cues has not been investigated in hemimetabolous insects. Here we describe the antennal sensilla, the general brain structure, and the antennal sensory pathways in the last six nymphal instars of Libellula depressa, in comparison with earlier published data from adults, using scanning electron microscopy, and antennal receptor neuron and antennal lobe output neuron mass-tracing with tetramethylrhodamin. Brain structure was visualized with an anti-synapsin antibody. Differently from adults, the nymphal antennal flagellum harbors many mechanoreceptive sensilla, one olfactory, and two thermo-hygroreceptive sensilla at all investigated instars. The nymphal brain is very similar to the adult brain throughout development, despite the considerable differences in antennal sensilla and habitat. Like in adults, nymphal brains contain mushroom bodies lacking calyces and small aglomerular antennal lobes. Antennal fibers innervate the antennal lobe similar to adult brains and the gnathal ganglion more prominently than in adults. Similar brain structures are thus used in L. depressa nymphs and adults to process diverging sensory information.

scholarly journals Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

2016 ◽  
Vol 28 (10) ◽  
pp. 1433-1454 ◽  
Author(s):  
Alexandra Woolgar ◽  
Jade Jackson ◽  
John Duncan
Keyword(s):  
Representational Content ◽  
Brain Regions ◽  
Brain Organization ◽  
Frontoparietal Network ◽  
Response Information ◽  
Domain Generality ◽  
Cognitive Operations ◽  
Motor Information ◽  
Types Of Information ◽  
The Brain

How is the processing of task information organized in the brain? Many views of brain function emphasize modularity, with different regions specialized for processing different types of information. However, recent accounts also highlight flexibility, pointing especially to the highly consistent pattern of frontoparietal activation across many tasks. Although early insights from functional imaging were based on overall activation levels during different cognitive operations, in the last decade many researchers have used multivoxel pattern analyses to interrogate the representational content of activations, mapping out the brain regions that make particular stimulus, rule, or response distinctions. Here, we drew on 100 searchlight decoding analyses from 57 published papers to characterize the information coded in different brain networks. The outcome was highly structured. Visual, auditory, and motor networks predominantly (but not exclusively) coded visual, auditory, and motor information, respectively. By contrast, the frontoparietal multiple-demand network was characterized by domain generality, coding visual, auditory, motor, and rule information. The contribution of the default mode network and voxels elsewhere was minor. The data suggest a balanced picture of brain organization in which sensory and motor networks are relatively specialized for information in their own domain, whereas a specific frontoparietal network acts as a domain-general “core” with the capacity to code many different aspects of a task.

scholarly journals Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140165 ◽  
Author(s):  
Leonardo L. Gollo ◽  
Andrew Zalesky ◽  
R. Matthew Hutchison ◽  
Martijn van den Heuvel ◽  
Michael Breakspear
Keyword(s):  
Spatial Scales ◽  
Brain Regions ◽  
Brain Network ◽  
Morphological Properties ◽  
Brain Organization ◽  
Rich Club ◽  
Guiding Principle ◽  
The Rich ◽  
Cortical Regions ◽  
The Brain

For more than a century, cerebral cartography has been driven by investigations of structural and morphological properties of the brain across spatial scales and the temporal/functional phenomena that emerge from these underlying features. The next era of brain mapping will be driven by studies that consider both of these components of brain organization simultaneously—elucidating their interactions and dependencies. Using this guiding principle, we explored the origin of slowly fluctuating patterns of synchronization within the topological core of brain regions known as the rich club, implicated in the regulation of mood and introspection. We find that a constellation of densely interconnected regions that constitute the rich club (including the anterior insula, amygdala and precuneus) play a central role in promoting a stable, dynamical core of spontaneous activity in the primate cortex. The slow timescales are well matched to the regulation of internal visceral states, corresponding to the somatic correlates of mood and anxiety. In contrast, the topology of the surrounding ‘feeder’ cortical regions shows unstable, rapidly fluctuating dynamics likely to be crucial for fast perceptual processes. We discuss these findings in relation to psychiatric disorders and the future of connectomics.

scholarly journals Reduced Brain Volume and White Matter Alterations in Shank3-Deficient Rats

2020 ◽  
Author(s):  
Carla Esther Meyer Golden ◽  
Victoria X Wang ◽  
Hala Harony-Nicolas ◽  
Patrick R. Hof ◽  
Joseph Buxbaum
Keyword(s):  
White Matter ◽  
Brain Structure ◽  
Brain Volume ◽  
Diffusion Tensor ◽  
Brain Size ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Wild Type ◽  
Microstructural Alterations ◽  
The Brain

Abstract Background: Mutations and deletions in the SHANK3 synaptic gene cause the major neurodevelopmental features of Phelan-McDermid syndrome (PMS). The SHANK3 gene encodes a key structural component of excitatory synapses that is important for synaptogenesis. PMS is characterized by intellectual disability, autism spectrum disorder, cognitive deficits, physical dysmorphic features, sensory hyporeactivity, and alterations in the size of multiple brain regions. Clinical assessments and limited imaging studies have revealed a reduction in volume of multiple brain regions. They have also found white matter thinning and microstructural alterations to be persistent in patients with PMS. While many of these impairments have been replicated in mouse models of PMS, the brain structure of a rat model has not yet been studied. Methods: We assessed the brain structure of haploinsufficient and homozygous Shank3-deficient rats that model the behavioral deficits of PMS with magnetic resonance and diffusion tensor imaging, and compared their brain structure to wild type littermates.Results: Both gray and white matter structures were smaller in Shank3-deficient rats, leading to an overall reduction in brain size compared to wild type littermates. The largest region to be diminished in size was the neocortex. Some regions involved in sensory processing and white matter regions were also reduced in size. Lastly, the microstructure of two white matter tracts, the external capsule and fornix, was abnormal.Conclusions: Shank3-deficient rats replicate the reduced brain volume and altered white matter phenotypes present in individuals with PMS. Therefore, the brain regions that were altered represent potential cross-species structural biomarkers that warrant further study.

scholarly journals Musical skills can be decoded from magnetic resonance images

2020 ◽  
Author(s):  
Tuomas Puoliväli ◽  
Tuomo Sipola ◽  
Anja Thiede ◽  
Marina Kliuchko ◽  
Brigitte Bogert ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Brain Structure ◽  
Structural Changes ◽  
Musical Instrument ◽  
Structural Features ◽  
Brain Regions ◽  
Magnetic Resonance Images ◽  
Supervised Machine Learning ◽  
Support Vector ◽  
The Brain

AbstractLearning induces structural changes in the brain. Especially repeated, long-term behaviors, such as extensive training of playing a musical instrument, are likely to produce characteristic features to brain structure. However, it is not clear to what extent such structural features can be extracted from magnetic resonance images of the brain. Here we show that it is possible to predict whether a person is a musician or a non-musician based on the thickness of the cerebral cortex measured at 148 brain regions encompassing the whole cortex. Using a supervised machine learning technique called support vector machines, we achieved significant (κ = 0.321, p < 0.001) agreement between the actual and predicted participant groups of 30 musicians and 85 non-musicians. The areas contributing to the prediction were mostly in the frontal, parietal, and occipital lobes of the left hemisphere. Our results suggest that decoding an acquired skill from magnetic resonance images of brain structure is feasible to some extent. Further, the distribution of the areas that were informative in the classification, which mostly, but not entirely overlapped with earlier findings, implies that decoding-based analyses of structural properties of the brain can reveal novel aspects of musical aptitude.

scholarly journals Using Diffusion Tensor Imaging to examine brain structural plasticity and language experience

2019 ◽  
Author(s):  
Gigi Luk ◽  
Christos Pliatsikas
Keyword(s):  
Language Processing ◽  
Brain Structure ◽  
Language Use ◽  
Diffusion Tensor ◽  
Brain Plasticity ◽  
Structural Connectivity ◽  
Brain Regions ◽  
Language Experience ◽  
Brain Correlates ◽  
The Brain

Recent advances in neuroimaging methods have led to a renewed interest in the brain correlates of language processing. Most intriguing is how experiences of language use relates to variation in brain structure and how brain structure predicts language acquisition. These two lines of inquiry have important implications on considering language use as an experience-dependent mechanism that induces brain plasticity. This paper focuses on the structural connectivity of the brain, as delivered by white matter, i.e. the collections of the axons of the brain neurons that provide connectivity between brain regions. Tract-Based Spatial Statistics (TBSS), a method commonly used in the field, will be presented in detail. Readers will be introduced to procedures for the extraction of indices of variation in WM structure such as fractional anisotropy. Furthermore, the role of individual differences in WM and changes in WM pertaining to bilingual experience and language processing will be used as examples to illustrate the applicability of this method.

scholarly journals A spatiotemporal complexity architecture of human brain activity

2021 ◽  
Author(s):  
Stephan Krohn ◽  
Nina von Schwanenflug ◽  
Leonhard Waschke ◽  
Amy Romanello ◽  
Martin Gell ◽  
...  
Keyword(s):  
Human Brain ◽  
Neural Activity ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Brain Activity ◽  
Brain Regions ◽  
Brain Organization ◽  
Functional Connections ◽  
Signal Complexity ◽  
The Brain

The human brain operates in large-scale functional networks, collectively subsumed as the functional connectome1-13. Recent work has begun to unravel the organization of the connectome, including the temporal dynamics of brain states14-20, the trade-off between segregation and integration9,15,21-23, and a functional hierarchy from lower-order unimodal to higher-order transmodal processing systems24-27. However, it remains unknown how these network properties are embedded in the brain and if they emerge from a common neural foundation. Here we apply time-resolved estimation of brain signal complexity to uncover a unifying principle of brain organization, linking the connectome to neural variability6,28-31. Using functional magnetic resonance imaging (fMRI), we show that neural activity is marked by spontaneous "complexity drops" that reflect episodes of increased pattern regularity in the brain, and that functional connections among brain regions are an expression of their simultaneous engagement in such episodes. Moreover, these complexity drops ubiquitously propagate along cortical hierarchies, suggesting that the brain intrinsically reiterates its own functional architecture. Globally, neural activity clusters into temporal complexity states that dynamically shape the coupling strength and configuration of the connectome, implementing a continuous re-negotiation between cost-efficient segregation and communication-enhancing integration9,15,21,23. Furthermore, complexity states resolve the recently discovered association between anatomical and functional network hierarchies comprehensively25-27,32. Finally, brain signal complexity is highly sensitive to age and reflects inter-individual differences in cognition and motor function. In sum, we identify a spatiotemporal complexity architecture of neural activity — a functional "complexome" that gives rise to the network organization of the human brain.

Neuroanatomical and Morphological Trait Clusters in the Ant Genus Pheidole: Evidence for Modularity and Integration in Brain Structure

2015 ◽  
Vol 85 (1) ◽  
pp. 63-76 ◽  
Author(s):  
Iulian Ilieş ◽  
Mario L. Muscedere ◽  
James F.A. Traniello
Keyword(s):  
Social Information Processing ◽  
Brain Structure ◽  
Developmental Trajectories ◽  
Size Variation ◽  
Brain Evolution ◽  
Brain Structures ◽  
Interspecific Variation ◽  
Distinct Species ◽  
Brain Regions ◽  
Brain Organization

A central question in brain evolution concerns how selection has structured neuromorphological variation to generate adaptive behavior. In social insects, brain structures differ between reproductive and sterile castes, and worker behavioral specializations related to morphology, age, and ecology are associated with intra- and interspecific variation in investment in functionally different brain compartments. Workers in the hyperdiverse ant genus Pheidole are morphologically and behaviorally differentiated into minor and major subcastes that exhibit distinct species-typical patterns of brain compartment size variation. We examined integration and modularity in brain organization and its developmental patterning in three ecotypical Pheidole species by analyzing intra- and interspecific morphological and neuroanatomical covariation. Our results identified two trait clusters, the first involving olfaction and social information processing and the second composed of brain regions regulating nonolfactory sensorimotor functions. Patterns of size covariation between brain compartments within subcastes were consistent with levels of behavioral differentiation between minor and major workers. Globally, brains of mature workers were more heterogeneous than brains of newly eclosed workers, suggesting diversified developmental trajectories underscore species- and subcaste-typical brain organization. Variation in brain structure associated with the striking worker polyphenism in our sample of Pheidole appears to originate from initially differentiated brain templates that further diverge through species- and subcaste-specific processes of maturation and behavioral development.

scholarly journals On Variability & Human Consciousness

2017 ◽  
Author(s):  
Brian Boutwell
Keyword(s):  
Cognitive Neuroscience ◽  
Individual Variation ◽  
Brain Structure ◽  
Imaging Techniques ◽  
Conscious Experience ◽  
Brain Regions ◽  
Human Consciousness ◽  
Advanced Imaging ◽  
Academic Fields ◽  
The Brain

The topic of consciousness remains central across numerous academic fields ranging from philosophy to cognitive neuroscience. Scholars in all of these fields continue to debate the origins of conscious experiences. More recently, scientists have applied advanced imaging techniques to illuminate brain regions that are at least associated with our subjective feelings of conscious experience. Though much disagreement remains, one point that is generally accepted across fields is that consciousness is not the product of an immaterial substance, but rather is produced by functioning across physical substrates in the brain. This point of agreement is enough to suggest that genetically and environmentally underpinned individual variation in brain structure may contribute to individual variation in consciousness. To the extent that this is correct, it may provide insight on a host of important questions across various academic fields. Equally important, understanding sources of variability in consciousness may be a key piece of the puzzle for understanding, not only how consciousness evolved, but also how selection pressures might continue to act on the human experience of consciousness across subsequent generations.

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