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McKeon SD, Calabro F, Thorpe RV, de la Fuente A, Foran W, Parr AC, Jones SR, Luna B. Age-related differences in transient gamma band activity during working memory maintenance through adolescence. Neuroimage 2023; 274:120112. [PMID: 37105338 PMCID: PMC10214866 DOI: 10.1016/j.neuroimage.2023.120112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 04/06/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Adolescence is a stage of development characterized by neurodevelopmental specialization of cognitive processes. In particular, working memory continues to improve through adolescence, with increases in response accuracy and decreases in response latency continuing well into the twenties. Human electroencephalogram (EEG) studies indicate that gamma oscillations (35-65 Hz) during the working memory delay period support the maintenance of mnemonic information guiding subsequent goal-driven behavior, which decrease in power with development. Importantly, recent electrophysiological studies have shown that gamma events, more so than sustained activity, may underlie working memory maintenance during the delay period. However, developmental differences in gamma events during working memory have not been studied. Here, we used EEG in conjunction with a novel spectral event processing approach to investigate age-related differences in transient gamma band activity during a memory guided saccade (MGS) task in 164 10- to 30-year-olds. Total gamma power was found to significantly decrease through adolescence, replicating prior findings. Results from the spectral event pipeline showed age-related decreases in the mean power of gamma events and trial-by-trial power variability across both the delay period and fixation epochs of the MGS task. In addition, we found that while event number decreased with age during the fixation period, the developmental decrease during the delay period was more dramatic, resulting in an increase in event spiking from fixation to delay in adolescence but not adulthood. While average power of the transient gamma events was found to mediate age-related differences in total gamma power in the fixation and delay periods, the number of gamma events was related to total power in only the delay period, suggesting that the power of gamma events may underlie the sustained gamma activity seen in EEG literature while the number of events may directly support age-related improvements in working memory maintenance. Our findings provide compelling new evidence for mechanistic changes in neural processing characterized by refinements in neural function as behavior becomes optimized in adulthood.
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Affiliation(s)
- Shane D McKeon
- Department of Bioengineering, University of Pittsburgh, PA, 15213, United States; The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States.
| | - Finnegan Calabro
- Department of Bioengineering, University of Pittsburgh, PA, 15213, United States; The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Ryan V Thorpe
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Alethia de la Fuente
- Department of Physics, University of Buenos Aires, Argentina; Institute of Cognitive and Translational Neuroscience, INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Ashley C Parr
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Stephanie R Jones
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Beatriz Luna
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States.
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2
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de la Fuente A, Vignaga SS, Prado P, Figueras R, Lizaso L, Manes F, Cetkovich M, Tagliazucchi E, Torralva T. Early onset consumption of coca paste associated with executive-attention vulnerability markers linked to caudate-frontal structural and functional abnormalities. Drug Alcohol Depend 2021; 227:108926. [PMID: 34364191 DOI: 10.1016/j.drugalcdep.2021.108926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/07/2021] [Accepted: 06/22/2021] [Indexed: 10/20/2022]
Abstract
Coca paste is the most popular form of smoked cocaine (SC) in Latin America and also the most widespread among adolescents in vulnerable sectors of society, thus representing a significant public health concern. Despite evidence suggesting that abnormal executive-attention function is predictive of addiction to stimulant drugs, no study to date has compared clinically relevant neuropsychological (NPS) and physiological variables between individuals with histories of smoked cocaine dependence (SCD) and insufflated cocaine hydrochloride dependence (ICD). In this study we evaluated 25 SCD and 22 ICD subjects matched by poly-consumption profiles, and 25 healthy controls (CTR) matched by age, gender, education, and socioeconomic status. An exhaustive NPS battery was used to assess cognitive domains (attention, executive functions, fluid intelligence, memory, language and social cognition). We complemented this assessment with structural (MRI) and functional (fMRI) neuroimaging data. We found that executive function and attention impairments could be explained by the administration route of cocaine, with strongest impairments for the SCD group. SCD also presented reduced grey matter density relative to ICD and CTR in the bilateral caudate, a key area for executive and attentional function. Functional connectivity between left caudate and inferior frontal regions mediated the association between brain structure and behavioral performance. Our results highlight the relevance of assessing the route of administration of stimulants, both in clinical and research settings.
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Affiliation(s)
- Alethia de la Fuente
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Argentina; Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina.
| | - Sofía Schurmann Vignaga
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Pilar Prado
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Rosario Figueras
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Lucia Lizaso
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Facundo Manes
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Marcelo Cetkovich
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Enzo Tagliazucchi
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
| | - Teresa Torralva
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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de la Fuente A, Zamberlan F, Sánchez Ferrán A, Carrillo F, Tagliazucchi E, Pallavicini C. Relationship among subjective responses, flavor, and chemical composition across more than 800 commercial cannabis varieties. J Cannabis Res 2020; 2:21. [PMID: 33526118 PMCID: PMC7819481 DOI: 10.1186/s42238-020-00028-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 07/10/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Widespread commercialization of cannabis has led to the introduction of brand names based on users' subjective experience of psychological effects and flavors, but this process has occurred in the absence of agreed standards. The objective of this work was to leverage information extracted from large databases to evaluate the consistency and validity of these subjective reports, and to determine their correlation with the reported cultivars and with estimates of their chemical composition (delta-9-THC, CBD, terpenes). METHODS We analyzed a large publicly available dataset extracted from Leafly.com where users freely reported their experiences with cannabis cultivars, including different subjective effects and flavour associations. This analysis was complemented with information on the chemical composition of a subset of the cultivars extracted from Psilabs.org . The structure of this dataset was investigated using network analysis applied to the pairwise similarities between reported subjective effects and/or chemical compositions. Random forest classifiers were used to evaluate whether reports of flavours and subjective effects could identify the labelled species cultivar. We applied Natural Language Processing (NLP) tools to free narratives written by the users to validate the subjective effect and flavour tags. Finally, we explored the relationship between terpenoid content, cannabinoid composition and subjective reports in a subset of the cultivars. RESULTS Machine learning classifiers distinguished between species tags given by "Cannabis sativa" and "Cannabis indica" based on the reported flavours: = 0.828 ± 0.002 (p < 0.001); and effects: = 0.9965 ± 0.0002 (p < 0.001). A significant relationship between terpene and cannabinoid content was suggested by positive correlations between subjective effect and flavour tags (p < 0.05, False-Discovery-rate (FDR)-corrected); these correlations clustered the reported effects into three groups that represented unpleasant, stimulant and soothing effects. The use of predefined tags was validated by applying latent semantic analysis tools to unstructured written reviews, also providing breed-specific topics consistent with their purported subjective effects. Terpene profiles matched the perceptual characterizations made by the users, particularly for the terpene-flavours graph (Q = 0.324). CONCLUSIONS Our work represents the first data-driven synthesis of self-reported and chemical information in a large number of cannabis cultivars. Since terpene content is robustly inherited and less influenced by environmental factors, flavour perception could represent a reliable marker to indirectly characterize the psychoactive effects of cannabis. Our novel methodology helps meet demands for reliable cultivar characterization in the context of an ever-growing market for medicinal and recreational cannabis.
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Affiliation(s)
- Alethia de la Fuente
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Federico Zamberlan
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | | | - Facundo Carrillo
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Applied Artificial Intelligence Lab, ICC, CONICET, Buenos Aires, Argentina
| | - Enzo Tagliazucchi
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Carla Pallavicini
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina.
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
- Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta, FLENI-CONICET, Buenos Aires, Argentina.
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Fittipaldi S, Abrevaya S, Fuente ADL, Pascariello GO, Hesse E, Birba A, Salamone P, Hildebrandt M, Martí SA, Pautassi RM, Huepe D, Martorell MM, Yoris A, Roca M, García AM, Sedeño L, Ibáñez A. A multidimensional and multi-feature framework for cardiac interoception. Neuroimage 2020; 212:116677. [PMID: 32101777 DOI: 10.1016/j.neuroimage.2020.116677] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 02/04/2020] [Accepted: 02/21/2020] [Indexed: 11/18/2022] Open
Abstract
Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies in the field might reflect the caveats of standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we profit from a novel IA index (md) to provide a convergent multidimensional and multi-feature approach to cardiac interoception. We found that outcomes from our IA-md index are associated with -and predicted by- canonical markers of interoception, including the hd-EEG-derived heart-evoked potential (HEP), fMRI functional connectivity within interoceptive hubs (insular, somatosensory, and frontal networks), and socio-emotional skills. Importantly, these associations proved more robust than those involving current IA indexes. Furthermore, this pattern of results persisted when taking into consideration confounding variables (gender, age, years of education, and executive functioning). This work has relevant theoretical and clinical implications concerning the characterization of cardiac interoception and its assessment in heterogeneous samples, such as those composed of neuropsychiatric patients.
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Affiliation(s)
- Sol Fittipaldi
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Sofía Abrevaya
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Alethia de la Fuente
- National Scientific and Technical Research Council (CONICET), Argentina; Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina; Laboratory of Neuropsychology (LNPS), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Guido Orlando Pascariello
- National Scientific and Technical Research Council (CONICET), Argentina; Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences (CIFASIS), National Scientific and Technical Research Council (CONICET), Argentina; Laboratory of Neuroimaging and Neuroscience (LANEN), INECO Foundation Rosario, Argentina
| | - Eugenia Hesse
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Departamento de Matemática y Ciencias, Universidad de San Andrés, Buenos Aires, Argentina
| | - Agustina Birba
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Paula Salamone
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Malin Hildebrandt
- Chair for Addiction Research, Institute for Clinical Psychology and Psychotherapy, Dresden, Germany
| | - Sofía Alarco Martí
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Ricardo Marcos Pautassi
- Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina; Instituto de Investigación Médica M. y M. Ferreyra, INIMEC-CONICET-UNC, Córdoba, Argentina
| | - David Huepe
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Miquel Martorell Martorell
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Adrián Yoris
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - María Roca
- National Scientific and Technical Research Council (CONICET), Argentina; Laboratory of Neuropsychology (LNPS), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Adolfo M García
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, Argentina
| | - Lucas Sedeño
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina
| | - Agustín Ibáñez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile; Universidad Autónoma Del Caribe, Barranquilla, Colombia; ARC Excellence Center of Cognition and its Disorders, Sydney, Australia.
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de la Fuente A, Sedeño L, Vignaga SS, Ellmann C, Sonzogni S, Belluscio L, García-Cordero I, Castagnaro E, Boano M, Cetkovich M, Torralva T, Cánepa ET, Tagliazucchi E, Garcia AM, Ibañez A. Multimodal neurocognitive markers of interoceptive tuning in smoked cocaine. Neuropsychopharmacology 2019; 44:1425-1434. [PMID: 30867552 PMCID: PMC6784987 DOI: 10.1038/s41386-019-0370-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 02/22/2019] [Accepted: 03/02/2019] [Indexed: 12/21/2022]
Abstract
Contemporary neurocognitive models of drug addiction have associated this condition with changes in interoception -namely, the sensing and processing of body signals that fulfill homeostatic functions relevant for the onset and maintenance of addictive behavior. However, most previous evidence is inconsistent, behaviorally unspecific, and virtually null in terms of direct electrophysiological and multimodal markers. To circumvent these limitations, we conducted the first assessment of the relation between cardiac interoception and smoked cocaine dependence (SCD) in a sample of (a) 25 participants who fulfilled criteria for dependence on such a drug, (b) 22 participants addicted to insufflated clorhidrate cocaine (only for behavioral assessment), and (c) 25 healthy controls matched by age, gender, education, and socioeconomic status. We use a validated heartbeat-detection (HBD) task and measured modulations of the heart-evoked potential (HEP) during interoceptive accuracy and interoceptive learning conditions. We complemented this behavioral and electrophysiological data with offline structural (MRI) and functional connectivity (fMRI) analysis of the main interoceptive hubs. HBD and HEP results convergently showed that SCD subjects presented ongoing psychophysiological measures of enhanced interoceptive accuracy. This pattern was associated with a structural and functional tuning of interoceptive networks (reduced volume and specialized network segregation). Taken together, our findings provide the first evidence of an association between cardiac interoception and smoked cocaine, partially supporting models that propose hyper-interoception as a key aspect of addiction. More generally, our study shows that multimodal assessments of interoception could substantially inform the clinical and neurocognitive characterization of psychophysiological and neurocognitive adaptations triggered by addiction.
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Affiliation(s)
- Alethia de la Fuente
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Lucas Sedeño
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Sofia Schurmann Vignaga
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Camila Ellmann
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Silvina Sonzogni
- 0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5Laboratorio de Neuroepigenética, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires e IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Laura Belluscio
- 0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5Laboratorio de Neuroepigenética, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires e IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Indira García-Cordero
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Eugenia Castagnaro
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Magdalena Boano
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Marcelo Cetkovich
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Teresa Torralva
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Eduardo T. Cánepa
- 0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5Laboratorio de Neuroepigenética, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires e IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Enzo Tagliazucchi
- 0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina ,0000 0001 0056 1981grid.7345.5Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina
| | - Adolfo M. Garcia
- 0000 0004 0608 3193grid.411168.bInstitute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina ,0000 0001 1945 2152grid.423606.5National Scientific and Technical Research Council, Buenos Aires, Argentina ,0000 0001 2185 5065grid.412108.eFaculty of Education, National University of Cuyo (UNCuyo), Mendoza, M5502JMA Argentina
| | - Agustín Ibañez
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina. .,National Scientific and Technical Research Council, Buenos Aires, Argentina. .,Universidad Autónoma del Caribe, Barranquilla, Colombia. .,Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile. .,Australian Research Council, Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, Australia.
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Sedeno L, Garcia-Cordero A, Fitipaldi S, Abrevalla S, Garcia-Cordero I, Baez S, de la Fuente A, Torralva T, Ibañez A. Beyond variability: Unveiling brain connectivity alterations in frontotemporal dementia. Int J Psychophysiol 2016. [DOI: 10.1016/j.ijpsycho.2016.07.346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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