Cognitive performance along the migraine cycle: a negative exploratory study

Migraine patients frequently report cognitive difficulties in the proximity and during migraine attacks. We performed an exploratory comparison of executive functioning across the four stages of the migraine cycle. Consecutive patients with episodic migraine undertook cognitive tests for attention, processing speed, set-shifting, and inhibitory control. Performance was compared between patients in different migraine stages, controlling for attack frequency and prophylactic medication. One hundred forty-three patients (142 women, average age 36.2 ± 9.9 years) were included, 28 preictal (≤48 h before the attack), 21 ictal (during the attack), 18 postictal (≤24 h after attack), and 76 interictal. Test performance (age and literacy adjusted z-scores) was not significantly different across migraine phases, despite a tendency for a decline before the attack. This negative study shows that cognitive performance fluctuates as patients approach the attack. To control for individual variability, this comparison needs to be better characterized longitudinally with a within-patient design.info:eu-repo/semantics/publishedVersio

Structural anatomical investigation of long-term memory deficit in behavioural frontotemporal dementia

Although a growing body of work has shown that behavioral variant frontotemporal dementia (bvFTD) could present with severe amnesia in approximately half of cases, memory assessment is currently the clinical standard to distinguish bvFTD from Alzheimer's disease (AD). Thus, the concept of "relatively preserved episodic memory" in bvFTD remains the basis of its clinical distinction from AD and a criterion for bvFTD's diagnosis. This view is supported by the idea that bvFTD is not characterized by genuine amnesia and hippocampal degeneration, by contrast to AD. In this multicenter study, we aimed to investigate the neural correlates of memory performance in bvFTD as assessed by the Free and Cued Selective Reminding Test (FCSRT). Imaging explorations followed a two-step procedure, first relying on a visual rating of atrophy of 35 bvFTD and 34ADpatients' MRI, contrasted with 29 controls; and then using voxel-based morphometry (VBM) in a subset of bvFTD patients. Results showed that 43% of bvFTD patients presented with a genuine amnesia. Data-driven analysis on visual rating data showed that, in bvFTD, memory recall & storage performances were significantly predicted by atrophy in rostral prefrontal and hippocampal/perihippocampal regions, similar to mild AD. VBM results in bvFTD (p(FWE)<0.05) showed similar prefrontal and hippocampal regions in addition to striatal and lateral temporal involvement. Our findingsDistALZ CONICET CONICYT/FONDECYT 1170010 1160940 FONCyT, PICT 2012-0412 2012-1309 CONICYT/FONDAP 15150012 INECO Foundatio

Impact of susceptibility-induced distortion correction on perfusion imaging by pCASL with a segmented 3D GRASE readout

Purpose: The consensus for the clinical implementation of arterial spin labeling (ASL) perfusion imaging recommends a segmented 3D Gradient and Spin-Echo (GRASE) readout for optimal signal-to-noise-ratio (SNR). The correction of the associated susceptibility-induced geometric distortions has been shown to improve diagnostic precision, but its impact on ASL data has not been systematically assessed and it is not consistently part of pre-processing pipelines. Here, we investigate the effects of susceptibility-induced distortion correction on perfusion imaging by pseudo-continuous ASL (pCASL) with a segmented 3D GRASE readout. Methods: Data acquired from 28 women using pCASL with 3D GRASE at 3T was analyzed using three pre-processing options: without distortion correction, with distortion correction, and with spatial smoothing (without distortion correction) matched to control for blurring effects induced by distortion correction. Maps of temporal SNR (tSNR) and relative perfusion were analyzed in eight regions-of-interest (ROIs) across the brain. Results: Distortion correction significantly affected tSNR and relative perfusion across the brain. Increases in tSNR were like those produced by matched spatial smoothing in most ROIs, indicating that they were likely due to blurring effects. However, that was not the case in the frontal and temporal lobes, where we also found increased relative perfusion with distortion correction even compared with matched spatial smoothing. These effects were found in both controls and patients, with no interactions with the participant group. Conclusion: Correction of susceptibility-induced distortions significantly impacts ASL perfusion imaging using a segmented 3D GRASE readout, and this step should therefore be considered in ASL pre-processing pipelines. This is of special importance in clinical studies, reporting perfusion across ROIs defined on relatively undistorted images and when conducting group analyses requiring the alignment of images across different subjects.info:eu-repo/semantics/publishedVersio

Involvement of the cerebellum in structural connectivity enhancement in episodic migraine

Background: The pathophysiology of migraine remains poorly understood, yet a growing number of studies have shown structural connectivity disruptions across large-scale brain networks. Although both structural and functional changes have been found in the cerebellum of migraine patients, the cerebellum has barely been assessed in previous structural connectivity studies of migraine. Our objective is to investigate the structural connectivity of the entire brain, including the cerebellum, in individuals diagnosed with episodic migraine without aura during the interictal phase, compared with healthy controls. Methods: To that end, 14 migraine patients and 15 healthy controls were recruited (all female), and diffusion-weighted and T1-weighted MRI data were acquired. The structural connectome was estimated for each participant based on two different whole-brain parcellations, including cortical and subcortical regions as well as the cerebellum. The structural connectivity patterns, as well as global and local graph theory metrics, were compared between patients and controls, for each of the two parcellations, using network-based statistics and a generalized linear model (GLM), respectively. We also compared the number of connectome streamlines within specific white matter tracts using a GLM. Results: We found increased structural connectivity in migraine patients relative to healthy controls with a distinct involvement of cerebellar regions, using both parcellations. Specifically, the node degree of the posterior lobe of the cerebellum was greater in patients than in controls and patients presented a higher number of streamlines within the anterior limb of the internal capsule. Moreover, the connectomes of patients exhibited greater global efficiency and shorter characteristic path length, which correlated with the age onset of migraine. Conclusions: A distinctive pattern of heightened structural connectivity and enhanced global efficiency in migraine patients compared to controls was identified, which distinctively involves the cerebellum. These findings provide evidence for increased integration within structural brain networks in migraine and underscore the significance of the cerebellum in migraine pathophysiology.info:eu-repo/semantics/publishedVersio

Impact of truncating diffusion MRI scans on diffusional kurtosis imaging

Objective Difusional kurtosis imaging (DKI) extends difusion tensor imaging (DTI), characterizing non-Gaussian difusion efects but requires longer acquisition times. To ensure the robustness of DKI parameters, data acquisition ordering should be optimized allowing for scan interruptions or shortening. Three methodologies were used to examine how reduced difusion MRI scans impact DKI histogram-metrics: 1) the electrostatic repulsion model (OptEEM); 2) spherical codes (OptSC); 3) random (RandomTRUNC). Materials and methods Pre-acquired difusion multi-shell data from 14 female healthy volunteers (29±5 years) were used to generate reordered data. For each strategy, subsets containing diferent amounts of the full dataset were generated. The subsampling efects were assessed on histogram-based DKI metrics from tract-based spatial statistics (TBSS) skeletonized maps. To evaluate each subsampling method on simulated data at diferent SNRs and the infuence of subsampling on in vivo data, we used a 3-way and 2-way repeated measures ANOVA, respectively. Results Simulations showed that subsampling had diferent efects depending on DKI parameter, with fractional anisotropy the most stable (up to 5% error) and radial kurtosis the least stable (up to 26% error). RandomTRUNC performed the worst while the others showed comparable results. Furthermore, the impact of subsampling varied across distinct histogram characteristics, the peak value the least afected (OptEEM: up to 5% error; OptSC: up to 7% error) and peak height (OptEEM: up to 8% error; OptSC: up to 11% error) the most afected. Conclusion The impact of truncation depends on specifc histogram-based DKI metrics. The use of a strategy for optimizing the acquisition order is advisable to improve DKI robustness to exam interruptions.info:eu-repo/semantics/publishedVersio

Biomarcadores acessíveis de demência frontotemporal: um estudo de classificação baseado na conectividade da rede cerebral

El desarrollo de biomarcadores de demencias efectivos y asequibles resulta esencial dada la dificultad de realizar un diagnóstico temprano de estas patologías. En este sentido, los métodos de electroencefalografía (EEG) brindan alternativas promisorias por su bajo costo, portabilidad y creciente robustez. En este trabajo, nos basamos en señales de EEG y en un novedoso método de intercambio de información para estudiar la conectividad en estado de reposo en pacientes afectados por la variante conductual de la demencia frontotemporal (vcDFT) y en un grupo control. Para evaluar la especificidad de los resultados obtenidos, también examinamos pacientes que padecen la enfermedad de Alzheimer (EA). El poder de clasificación de los patrones de conectividad resultantes se evaluó mediante un algoritmo de clasificación supervisada (máquina de soporte vectorial). Además, comparamos el poder de clasificación obtenido mediante (i) la conectividad funcional, (ii) una batería de pruebas neuropsicológicas pertinentes y (iii) la combinación de ambos. Los pacientes con vcDFT mostraron un patrón de hipoconectividad específico en conexiones frontotemporales de proximidad media, que no mostraron alteraciones en los pacientes con EA. Estas alteraciones en la conectividad funcional en la vcDFT se replicaron mediante EEG de baja densidad (20 electrodos). Por otra parte, mientras que las pruebas neuropsicológicas llevaron a una discriminación aceptable entre los pacientes con vcDFT y los del grupo control, la adición de los resultados de conectividad aumentó el poder de clasificación. Finalmente, la clasificación entre los pacientes con vcDFT y los con EA fue mejor cuando se usó como base la conectividad que cuando se usaron las pruebas neuropsicológicas. En conjunto, estos hallazgos enfatizan la relevancia de las mediciones EEG como biomarcadores de potencial aplicación clínica.Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer’s disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings.O desenvolvimento de biomarcadores de demência eficazes e acessíveis é essencial, dada a dificuldade de se fazer um diagnóstico precoce dessas patologias. Nesse sentido, os métodos de eletroencefalografia (EEG) oferecem alternativas promissoras devido ao seu baixo custo, portabilidade e crescente robustez. Neste trabalho, nos baseamos em sinais de EEG e um novo método de troca de informações para estudar a conectividade em estado de repouso em pacientes afetados pela variante comportamental da demência frontotemporal (vcDFT) e em um grupo controle. Para avaliar a especificidade dos resultados obtidos, também examinamos pacientes que sofrem da Sindrome de Alzheimer (SA). O poder de classificação dos padrões de conectividade resultantes foi avaliado por um algoritmo de classificação supervisionado (máquina de suporte de vetores). Além disso, comparamos o poder de classificação obtido através de (i) conectividade funcional, (ii) uma bateria de testes neuropsicológicos relevantes e (iii) a combinação de ambos. Pacientes com vcDFT mostraram um padrão de hipoconnectividade específica nas conexões frontotemporais de proximidade média, que não mostraram alterações nos pacientes com SA. Essas alterações na conectividade funcional na vcDFT foram replicadas por EEG de baixa densidade (20 eletrodos). Por outro lado, enquanto as provas neuropsicológicas levaram a uma discriminação aceitável entre pacientes com vcDFT e o grupo controle, a adição de resultados de conectividade aumentou o poder de classificação. Finalmente, a classificação entre os pacientes com vcDFT e aqueles com SA foi melhor quando foi usada como base a conectividade que quando se utilizou os testes neuropsicológicos. Esses achados enfatizam a relevância das medidas de EEG como biomarcadores com potencial de aplicação clínica.Fil: Dottori, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; 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: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Alifano Ferrero, Florencia. 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; 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, 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. Facultad de Educación Elemental y Especial; ArgentinaFil: Contreras, Marcela Elizabeth. Universidad de Santiago de Chile; ChileFil: Muñoz, Edinson. Universidad de Santiago de Chile; ChileFil: Ruiz Tagle, Amparo. Centro de Investigación Avanzada en Educación; ChileFil: Lillo, Patricia. Universidad de Chile; ChileFil: Slachevsky, Andrea. Universidad de Chile; ChileFil: Serrano, Cecilia. No especifíca;Fil: Fraiman Borrazás, Daniel Edmundo. Universidad de San Andrés; ArgentinaFil: Ibañez, Agustin 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 Adolfo Ibañez; Chile. Universidad Autónoma del Caribe; Colombi

Prognostic heterogeneity of attention defi cit/hyperactivity disorder in adults Descomponiendo el síndrome de déficit atencional en el adulto: Hacia un entendimiento de su heterogeneidad pronóstica

Laboratory of Computer Sciences, Massachusetts General Hospital, Harvard University y Hospital San Juan de Dios, Facultad de Medicina, Universidad de Chile. Attention Deficit/Hyperactivity Disorder (ADHD) is a clinical syndrome characterized by an onset in early life. More than 65% of patients persist with manifestations of ADHD in adulthood. These symptoms may interfere in activities of daily-living, interpersonal relationships and professional and academic achievement. Nevertheless, the observation of an important group of adults with ADHD who do not show significant difficulties in the areas mentioned before puts into evidence the prognostic heterogeneity of this disorder. One of the current, most accepted explanations is the Double-Pathway Model: two double-dissociated deficits (Executive Disorders and Delayed-Reward Processing impairments) are involved in the genesis of ADHD, which explains the existence of different behavioral phenotypes. Moreover, personality traits like tenaci

Biomarcadores asequibles de demencia frontotemporal: un estudio de clasificación basado en la conectividad de redes cerebrales

Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer’s disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings.El desarrollo de biomarcadores de demencias efectivos y asequibles resulta esencial dada la dificultad de realizar un diagnóstico temprano de estas patologías. En este sentido, los métodos de electroencefalografía (EEG) brindan alternativas promisorias por su bajo costo, portabilidad y creciente robustez. En este trabajo, nos basamos en señales de EEG y en un novedoso método de intercambio de información para estudiar la conectividad en estado de reposo en pacientes afectados por la variante conductual de la demencia frontotemporal (vcDFT) y en un grupo control. Para evaluar la especificidad de los resultados obtenidos, también examinamos pacientes que padecen la enfermedad de Alzheimer (EA). El poder de clasificación de los patrones de conectividad resultantes se evaluó mediante un algoritmo de clasificación supervisada (máquina de soporte vectorial). Además, comparamos el poder de clasificación obtenido mediante (i) la conectividad funcional, (ii) una batería de pruebas neuropsicológicas pertinentes y (iii) la combinación de ambos. Los pacientes con vcDFT mostraron un patrón de hipoconectividad específico en conexiones frontotemporales de proximidad media, que no mostraron alteraciones en los pacientes con EA. Estas alteraciones en la conectividad funcional en la vcDFT se replicaron mediante EEG de baja densidad (20 electrodos). Por otra parte, mientras que las pruebas neuropsicológicas llevaron a una discriminación aceptable entre los pacientes con vcDFT y los del grupo control, la adición de los resultados de conectividad aumentó el poder de clasificación. Finalmente, la clasificación entre los pacientes con vcDFT y los con EA fue mejor cuando se usó como base la conectividad que cuando se usaron las pruebas neuropsicológicas. En conjunto, estos hallazgos enfatizan la relevancia de las mediciones EEG como biomarcadores con potencial de aplicación clínica

Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing

Developing effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing robustness. Here, we relied on EEG signals and a novel information-sharing method to study resting-state connectivity in patients with behavioral variant frontotemporal dementia (bvFTD) and controls. To evaluate the specificity of our results, we also tested Alzheimer's disease (AD) patients. The classification power of the ensuing connectivity patterns was evaluated through a supervised classification algorithm (support vector machine). In addition, we compared the classification power yielded by (i) functional connectivity, (ii) relevant neuropsychological tests, and (iii) a combination of both. BvFTD patients exhibited a specific pattern of hypoconnectivity in mid-range frontotemporal links, which showed no alterations in AD patients. These functional connectivity alterations in bvFTD were replicated with a low-density EEG setting (20 electrodes). Moreover, while neuropsychological tests yielded acceptable discrimination between bvFTD and controls, the addition of connectivity results improved classification power. Finally, classification between bvFTD and AD patients was better when based on connectivity than on neuropsychological measures. Taken together, such findings underscore the relevance of EEG measures as potential biomarker signatures for clinical settings.Fil: Dottori, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; 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: Martorell Caro, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; ArgentinaFil: Alifano, Florencia. 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: 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, 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. Facultad de Educación Elemental y Especial; ArgentinaFil: Ruiz Tagle, Amparo. Centre for Advanced Research in Education; ChileFil: Lillo, Patricia. Universidad de Chile; Chile. Gerosciences Center for Brain Health and Metabolism; ChileFil: Slachevsky, Andrea. Universidad de Chile; Chile. Gerosciences Center for Brain Health and Metabolism; Chile. Hospital del Salvador; Chile. Centre for Advanced Research in Education; Chile. Clínica Alemana-Universidad del Desarrollo; ChileFil: Serrano, Cecilia Mariela. Clínica de Memoria y Equilibrio; ArgentinaFil: Fraiman Borrazás, Daniel Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; 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. The University of New South Wales; Australia. Macquarie University; Australia. Universidad Autónoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chil

Espacios de la Ciudad de México. 75-76 Nueva Época (2004) julio-diciembre. Antropología. Boletín Oficial del Instituto Nacional de Antropología e Historia

- Los lugares de una megaciudad, una introducción por Abilio Vergara Figueroa. - Etnografía de un barrio obrero: La Fama, Tlalpan por María Ana Portal. - Entre la tradición y el anonimato. Etnografía de la identidad urbana en un barrio de la colonia Roma por Daniel Hernández Rosete. - Habitar en el Centro Histórico, detrás de los monumentos por Reyna Sánchez Estévez. - Vecindad, condominio y modernidad: etnografía de un proceso por Anja Clara Novell y Hugo Sánchez Arteaga. - Pequeñas iluminaciones sobre la ciudad: el parque Los Coyotes por Abilio Vergara Figueroa. - La Alameda y la plaza de la Solidaridad. Exploraciones desde el margen por Sara Makowski. - La Ciudadela: de la tragedia histórica al disfrute de la ciudad por Amparo Sevilla. - La plaza de las Vizcaínas: socialidad y conflicto por Isaura C. García López. - El zapatista por Lucio Ernesto Maldonado Ojeda. - Razón y proporción del Gran Teatro Nacional de Santa Anna por Hugo Arciniega. - Etnografía de urgencia: el hospital Xoco por Alí Ruiz Coronel. - La pulquería como lugar de encuentro: el caso de La Pirata por Ernesto Licona Valencia. - Para una mañana fría o una noche lluviosa, una taza de chocolate en El Moro por Judith Katia Perdigón Castañeda. - La línea tres del metro de la Ciudad de México: espacios y usuarios por Olivia Domínguez Prieto. - El Sistema de Transporte Colectivo metro de la Ciudad de México: un espacio diverso por Melissa García Meraz. - La Ciudad de México como supermercado para transeúntes por Mauricio García. - Etnografía de la manifestación pública: la megamarcha por la Soberanía Nacional por Xóchitl Cruz-Guzmán y Sergio Tamayo. - De la marcha por la Dignidad a la marcha de la Paz por Aída Analco Martínez. - La órbita de la capital mexicana y la crisis de la nación en 1848 por Esteban Sánchez de Tagle. - El “esto es” de una vida por Graciela de Garay