Preliminary evidence about the effects of meditation on interoceptive sensitivity and social cognition

Background: Interoception refers to the conscious perception of body signals. Mindfulness is a meditation practice that encourages individuals to focus on their internal experiences such as bodily sensations, thoughts, and emotions. In this study, we selected a behavioral measure of interoceptive sensitivity (heartbeat detection task, HBD) to compare the effect of meditation practice on interoceptive sensitivity among long term practitioners (LTP), short term meditators (STM, subjects that completed a Mindfulness-Based Stress Reduction (MBSR) program) and controls (non-meditators). All participants were examined with a battery of different tasks including mood state, executive function and social cognition tests (emotion recognition, empathy and theory of mind). Findings: Compared to controls, both meditators’ groups showed lower levels of anxiety and depression, but no improvement in executive function or social cognition performance was observed (except for lower scores compared to controls only in the personal distress dimension of empathy). More importantly, meditators’ performance did not differ from that of nonmeditators regarding cardiac interoceptive sensitivity. Conclusion: Results suggest no influence of meditation practice in cardiac interoception and in most related social cognition measures. These negative results could be partially due to the fact that awareness of heartbeat sensations is not emphasized during mindfulness/vipassana meditation and may not be the best index of the awareness supported by the practice of meditation.Fil: Melloni, Margherita. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sedeño, Lucas. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Couto, Juan Blas Marcos. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Reynoso, Martín. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; ArgentinaFil: Gelormini Lezama, Carlos. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Favaloro, Roberto. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; ArgentinaFil: Canales Johnson, Andres. Universidad Diego Portales; ChileFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; ArgentinaFil: Manes, Facundo Francisco. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ibanez Barassi, Agustin Mariano. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurologia Cognitiva. Laboratorio de Psicologia Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Aprendizaje-servicio y Trabajo Social

Es una propuesta metodológica aplicada a los estudios de Trabajo Social. Su objetivo es incorporar el método aprendizaje-servicio a la docencia presencial para incrementar el interés y la satisfacción de la comunidad científica y la sociedad civil

Enhanced working memory binding by direct electrical stimulation of the parietal cortex

Recent works evince the critical role of visual short-term memory (STM) binding deficits as a clinical and preclinical marker of Alzheimer's disease (AD). These studies suggest a potential role of posterior brain regions in both the neurocognitive deficits of Alzheimer's patients and STM binding in general. Thereupon, we surmised that stimulation of the posterior parietal cortex (PPC) might be a successful approach to tackle working memory deficits in this condition, especially at early stages. To date, no causal evidence exists of the role of the parietal cortex in STM binding. A unique approach to assess this issue is afforded by single-subject direct intracranial electrical stimulation of specific brain regions during a relevant cognitive task. Electrical stimulation has been used both for clinical purposes and to causally probe brain mechanisms. Previous evidence of electrical currents spreading through white matter along well defined functional circuits indicates that visual working memory mechanisms are subserved by a specific widely distributed network. Here, we stimulated the parietal cortex of a subject with intracranial electrodes as he performed the visual STM task. We compared the ensuing results to those from a non-stimulated condition and to the performance of a matched control group. In brief, direct stimulation of the parietal cortex induced a selective improvement in STM. These results, together with previous studies, provide very preliminary but promising ground to examine behavioral changes upon parietal stimulation in AD. We discuss our results regarding: (a) the usefulness of the task to target prodromal stages of AD; (b) the role of a posterior network in STM binding and in AD; and (c) the potential opportunity to improve STM binding through brain stimulation.Fil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Hesse Rizzi, Eugenia Fátima. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: García, María del Carmen. Hospital Italiano; ArgentinaFil: Avalos, Juan Carlos. Hospital Italiano; ArgentinaFil: Gonzalez Adolfi, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Legaz, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Bekinschtein, Tristán Andrés. University of Cambridge; Reino UnidoFil: Zimerman, Máximo. Instituto de Neurología Cognitiva; Argentina. Universidad Favaloro; ArgentinaFil: Parra, Mario. Heriot-Watt University; Reino Unido. University of Edinburgh; Reino Unido. NHS Research Scotland; Reino Unido. Universidad Autónoma del Caribe; ColombiaFil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad Nacional de Cuyo; ArgentinaFil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Universidad Autónoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile. Australian Research Council ; Australi

Time to Face Language: Embodied Mechanisms Underpin the Inception of Face-Related Meanings in the Human Brain

In construing meaning, the brain recruits multimodal (conceptual) systems and embodied (modality-specific) mechanisms. Yet, no consensus exists on how crucial the latter are for the inception of semantic distinctions. To address this issue, we combined electroencephalographic (EEG) and intracranial EEG (iEEG) to examine when nouns denoting facial body parts (FBPs) and nonFBPs are discriminated in face-processing and multimodal networks. First, FBP words increased N170 amplitude (a hallmark of early facial processing). Second, they triggered fast (~100 ms) activity boosts within the face-processing network, alongside later (~275 ms) effects in multimodal circuits. Third, iEEG recordings from face-processing hubs allowed decoding ~80% of items before 200 ms, while classification based on multimodal-network activity only surpassed ~70% after 250 ms. Finally, EEG and iEEG connectivity between both networks proved greater in early (0-200 ms) than later (200-400 ms) windows. Collectively, our findings indicate that, at least for some lexico-semantic categories, meaning is construed through fast reenactments of modality-specific experience.Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina. Universidad de San Andrés; Argentina. Universidad de Santiago de Chile; Chile. University of California; Estados UnidosFil: Hesse Rizzi, Eugenia Fátima. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; ArgentinaFil: Birba, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; ArgentinaFil: Gonzalez Adolfi, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; ArgentinaFil: Mikulan, Ezequiel Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Università degli Studi di Milano; ItaliaFil: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; ArgentinaFil: Petroni, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Bekinchstein, Tristán. University of Cambridge; Reino UnidoFil: García, María del Carmen. Hospital Italiano; ArgentinaFil: Silva, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Hospital Italiano; ArgentinaFil: Ciraolo, Carlos. Hospital Italiano; ArgentinaFil: Vaucheret Paz, Esteban Fabian. Hospital Italiano; ArgentinaFil: Sedeño, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; ArgentinaFil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt | Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Ineco Rosario Sede del Incyt; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chil

Una variante del algoritmo de Ahuja-Orlin para problemas de flujo máximo: experiencias computacionales y comparaciones

En este trabajo se introduce una variante del algoritmo de escalado de Ahuja y Orlin, con la misma complejidad computacional teórica, para resolver problemas de flujo máximo en redes sin circuitos. Como se constata en las experiencias computacionales que hemos realizado sobre problemas generados aleatoriamente, en el noventa por ciento de los casos el tiempo de CPU del nuevo procedimiento es significativamente inferior

On the K shortest path trees problem

We address the problem of finding the K best path trees connecting a source node with any other non-source node in a directed network with arbitrary lengths. The main result in this paper is the proof that the kth shortest path tree is adjacent to at least one of the previous (k-1) shortest path trees. Consequently, we design an O(f(n,m,Cmax)+Km) time and O(K+m) space algorithm to determine the K shortest path trees, in a directed network with n nodes, m arcs and maximum absolute length Cmax, where O(f(n,m,Cmax)) is the best time needed to solve the shortest simple paths connecting a source node with any other non-source node.Network/graphs K shortest path trees problem Shortest path tree problem K best spanning tree K best solutions

Suma

Resumen de la publicaciónSe plantea la necesidad de motivar el estudio de modelos matemáticos considerando algunos casos básicos de naturaleza combinatoria de importancia en el mundo real. El estudio de los problemas de optimización y la introducción y aplicación de métodos de resolución sencillos se toma como base para argumentar a favor de su inclusión como alternativa válida para motivar la utilidad de las matemáticas, en los últimos cursos de la enseñanza secundaria.AragónUniversitat de Barcelona. Biblioteca de Ciències de l'Educació; Passeig de la Vall D'Hebron, 171; 08035 Barcelona; +34934021035; +34934021034;ES

Effectiveness and cost-effectiveness of a multicomponent intervention to improve medication adherence in people with depressive disorders - MAPDep : a study protocol for a cluster randomized controlled trial

Depression is a widespread mental disorder which can be treated effectively. However, low adherence to antidepressants is very common. The study of medication adherence in depression (MAPDep study) assesses the effectiveness and cost-effectiveness of a multicomponent strategy to enhance adherence toward medications in patients with depression. The intervention is a multicomponent one consisting of an educational program for psychiatrists and/or a collaborative care program for patients and relatives, plus a reminder system that works through the use of an already available high-quality medication reminder application. MAPDep study is an open, multicenter, four-arm cluster randomized controlled trial. The clusters are mental health units where psychiatrists are invited to participate. The clusters are randomly allocated to one of the three interventions or to usual care (control arm). Patients (18-65 years of age) diagnosed with depressive disorder, those taking antidepressant medication for an existing diagnosis of depression, and mobile phone users are selected. In group 1, only patients and relatives receive intervention; in group 2, only psychiatrists receive intervention; and in group 3, patients/relatives and psychiatrists receive intervention. The primary outcome is adherence to the antidepressant drug. The calculated sample size is 400 patients. To examine changes across time, generalized linear mixed model with repeated measures will be used. A cost-effectiveness analysis will be conducted. The effectiveness measure is quality-adjusted life years. Deterministic sensitivity analyses are planned. MAPDep study aims to assess a multicomponent strategy to improve adherence toward medications in patients with depression, based not only on clinical effectiveness but also on cost-effectiveness. This methodology will enhance the transferability of the expected results beyond mental health services (patients and psychiatrists) to health care policy decision making. NCT0366845

TGF-β-induced IGFBP-3 is a key paracrine factor from activated pericytes that promotes colorectal cancer cell migration and invasion.

The crosstalk between cancer cells and the tumor microenvironment has been implicated in cancer progression and metastasis. Fibroblasts and immune cells are widely known to be attracted to and modified by cancer cells. However, the role of pericytes in the tumor microenvironment beyond endothelium stabilization is poorly understood. Here, we report that pericytes promoted colorectal cancer (CRC) cell proliferation, migration, invasion, stemness, and chemoresistance in vitro, as well as tumor growth in a xenograft CRC model. We demonstrate that coculture with human CRC cells induced broad transcriptomic changes in pericytes, mostly associated with TGF-β receptor activation. The prognostic value of a TGF-β response signature in pericytes was analyzed in CRC patient data sets. This signature was found to be a good predictor of CRC relapse. Moreover, in response to stimulation by CRC cells, pericytes expressed high levels of TGF-β1, initiating an autocrine activation loop. Investigation of secreted mediators and underlying molecular mechanisms revealed that IGFBP-3 is a key paracrine factor from activated pericytes affecting CRC cell migration and invasion. In summary, we demonstrate that the interplay between pericytes and CRC cells triggers a vicious cycle that stimulates pericyte cytokine secretion, in turn increasing CRC cell tumorigenic properties. Overall, we provide another example of how cancer cells can manipulate the tumor microenvironment.This study was funded by grants from Instituto de Salud Carlos III (PI13/00090, PI16/00357), partially supported by the European Regional Development Fund (ERDF), Comunidad de Madrid (S2010‐BMD‐2312), and Ministerio de Economía y Competitividad (RTC‐2016‐5118‐1 and SAF2017‐89437‐P), cofinanced by Programa Estatal de Investigación and the European Union. AT‐G and LM‐G was supported by Comunidad Autónoma de Madrid/European Social Fund (PEJ16/MED/AI‐1961, PEJ‐2018‐PRE/BMD‐8314, and PEJ‐2018‐TL/BMD‐11483).S