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Santamaría-García H, Migeot J, Medel V, Hazelton JL, Teckentrup V, Romero-Ortuno R, Piguet O, Lawor B, Northoff G, Ibanez A. Allostatic Interoceptive Overload Across Psychiatric and Neurological Conditions. Biol Psychiatry 2024:S0006-3223(24)01428-8. [PMID: 38964530 DOI: 10.1016/j.biopsych.2024.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 06/10/2024] [Accepted: 06/19/2024] [Indexed: 07/06/2024]
Abstract
Emerging theories emphasize the crucial role of allostasis (anticipatory and adaptive regulation of the body's biological processes) and interoception (integration, anticipation, and regulation of internal bodily states) in adjusting physiological responses to environmental and bodily demands. In this review, we explore the disruptions in integrated allostatic interoceptive mechanisms in psychiatric and neurological disorders, including anxiety, depression, Alzheimer's disease, and frontotemporal dementia. We assess the biological mechanisms associated with allostatic interoception, including whole-body cascades, brain structure and function of the allostatic interoceptive network, heart-brain interactions, respiratory-brain interactions, the gut-brain-microbiota axis, peripheral biological processes (inflammatory, immune), and epigenetic pathways. These processes span psychiatric and neurological conditions and call for developing dimensional and transnosological frameworks. We synthesize new pathways to understand how allostatic interoceptive processes modulate interactions between environmental demands and biological functions in brain disorders. We discuss current limitations of the framework and future transdisciplinary developments. This review opens a new research agenda for understanding how allostatic interoception involves brain predictive coding in psychiatry and neurology, allowing for better clinical application and the development of new therapeutic interventions.
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Affiliation(s)
- Hernando Santamaría-García
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia; Hospital Universitario San Ignacio, Centro de Memoria y Cognición Intellectus, Bogotá, Colombia
| | - Joaquin Migeot
- Global Brain Health Institute, University California of San Francisco, San Francisco, California; Global Brain Health Institute, Trinity College of Dublin, Dublin, Ireland; Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile
| | - Vicente Medel
- Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile
| | - Jessica L Hazelton
- Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile; School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Vanessa Teckentrup
- School of Psychology and Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Roman Romero-Ortuno
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Brian Lawor
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia
| | - George Northoff
- Institute of Mental Health Research, Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ottawa, Ontario, Canada
| | - Agustin Ibanez
- Global Brain Health Institute, University California of San Francisco, San Francisco, California; Global Brain Health Institute, Trinity College of Dublin, Dublin, Ireland; Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile; School of Psychology and Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
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Moguilner S, Herzog R, Perl YS, Medel V, Cruzat J, Coronel C, Kringelbach M, Deco G, Ibáñez A, Tagliazucchi E. Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition. Alzheimers Res Ther 2024; 16:79. [PMID: 38605416 PMCID: PMC11008050 DOI: 10.1186/s13195-024-01449-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed. METHODS We inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer's disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition. RESULTS Decreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity. CONCLUSIONS Results suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.
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Affiliation(s)
- Sebastian Moguilner
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), 1207 1651 4th St, 3rd Floor, San Francisco, CA, 94143, USA
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Vito Dumas 284, B1644BID, Buenos Aires, VIC, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA
- Trinity College Dublin, Lloyd Building Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Rubén Herzog
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile
| | - Yonatan Sanz Perl
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Vito Dumas 284, B1644BID, Buenos Aires, VIC, Argentina
- National Scientific and Technical Research Council (CONICET), Godoy Cruz 2290, CABA, 1425, Argentina
- Institute of Applied and Interdisciplinary Physics and Department of Physics, University of Buenos Aires, Pabellón 1, Ciudad Universitaria, CABA, 1428, Argentina
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Plaça de La Mercè, 10-12, Barcelona, 08002, Spain
| | - Vicente Medel
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile
- Centro Interdisciplinario de Neurociencia de Valparaíso (CINV), Universidad de Valparaíso, Harrington 287, Valparaíso, 2381850, Chile
| | - Josefina Cruzat
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile
| | - Carlos Coronel
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile
| | - Morten Kringelbach
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, St.Cross Rd, Oxford, OX1 3JA, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Ln, Headington, Oxford, OX3 7JX, UK
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 82, Aarhus, 8200, Denmark
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Plaça de La Mercè, 10-12, Barcelona, 08002, Spain
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, Leipzig, 04103, Germany
- Institució Catalana de Recerca I Estudis Avancats (ICREA), Passeig de Lluís Companys, 23, Barcelona, 08010, Spain
- Turner Institute for Brain and Mental Health, Monash University, 770 Blackburn Rd,, Clayton, VIC, 3168, Australia
| | - Agustín Ibáñez
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile.
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), 1207 1651 4th St, 3rd Floor, San Francisco, CA, 94143, USA.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Vito Dumas 284, B1644BID, Buenos Aires, VIC, Argentina.
- Trinity College Institute of Neuroscience, Trinity College Dublin, 152 - 160 Pearse St, Dublin, D02 R590, Ireland.
- Trinity College Dublin, Lloyd Building Trinity College Dublin, Dublin, D02 PN40, Ireland.
| | - Enzo Tagliazucchi
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Av. Diag. Las Torres 2640, Santiago Región Metropolitana, Peñalolén, 7941169, Chile.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Vito Dumas 284, B1644BID, Buenos Aires, VIC, Argentina.
- National Scientific and Technical Research Council (CONICET), Godoy Cruz 2290, CABA, 1425, Argentina.
- Institute of Applied and Interdisciplinary Physics and Department of Physics, University of Buenos Aires, Pabellón 1, Ciudad Universitaria, CABA, 1428, Argentina.
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Ferrante FJ, Migeot J, Birba A, Amoruso L, Pérez G, Hesse E, Tagliazucchi E, Estienne C, Serrano C, Slachevsky A, Matallana D, Reyes P, Ibáñez A, Fittipaldi S, Campo CG, García AM. Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia. Alzheimers Dement 2024; 20:925-940. [PMID: 37823470 PMCID: PMC10916979 DOI: 10.1002/alz.13472] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/15/2023] [Accepted: 08/20/2023] [Indexed: 10/13/2023]
Abstract
INTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property analysis to capture neurocognitive markers of AD vis-à-vis behavioral variant frontotemporal dementia (bvFTD). METHODS Patients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group-level discrimination, patient-level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns. RESULTS Valid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group- and subject-level discrimination only in AD, also predicting executive outcomes. Disease-specific cortical thickness patterns were predicted by frequency in both disorders. Default-mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD. DISCUSSION Word-property analysis of fluency can boost AD characterization and diagnosis. HIGHLIGHTS We report novel word-property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word-property analysis of fluency can boost AD characterization and diagnosis.
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Affiliation(s)
- Franco J. Ferrante
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Facultad de IngenieríaUniversidad de Buenos Aires (FIUBA)CABAArgentina
| | - Joaquín Migeot
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Center for Social and Cognitive Neuroscience (CSCN)School of PsychologyUniversidad Adolfo IbáñezLas CondesChile
| | - Agustina Birba
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Instituto Universitario de NeurocienciaUniversidad de La LagunaLa LagunaTenerifeEspaña
- Cognitive Department of PsychologyUniversidad de La LagunaLa LagunaTenerifeEspaña
| | - Lucía Amoruso
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Basque Center on Cognition Brain and Language (BCBL)San SebastiánGipuzkoaEspaña
- IkerbasqueBasque Foundation for ScienceBilbaoSpain
| | - Gonzalo Pérez
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Facultad de IngenieríaUniversidad de Buenos Aires (FIUBA)CABAArgentina
| | - Eugenia Hesse
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Departamento de Matemática y CienciasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
| | - Enzo Tagliazucchi
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Departamento de FísicaUniversidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA‐CONICET)CABAArgentina
| | - Claudio Estienne
- Instituto de Ingeniería BiomédicaUniversidad de Buenos AiresBuenos AiresArgentina
| | - Cecilia Serrano
- Unidad de Neurología CognitivaHospital César MilsteinCABAArgentina
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC)Physiopathology Department ‐ ICBMNeurocience and East Neuroscience DepartmentsFaculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Geroscience Center for Brain Health and Metabolism (GERO)Faculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology DepartmentHospital del Salvador and Faculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Servicio de NeurologíaDepartamento de MedicinaClínica Alemana‐Universidad del DesarrolloLas CondesRegión MetropolitanaChile
| | - Diana Matallana
- Instituto de EnvejecimientoDepartment of PsychiatrySchool of MedicinePontifical Xaverian UniversityBogotáColombia
- Department of Mental HealthHospital Universitario Santa Fe de BogotáBogotáColombia
| | - Pablo Reyes
- Centro de Memoria y CogniciónIntellectus‐Hospital Universitario San IgnacioBogotáColombia
- Pontificia Universidad JaverianaDepartments of PhysiologyPsychiatry and Aging InstituteBogotáColombia
| | - Agustín Ibáñez
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
| | - Sol Fittipaldi
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
| | - Cecilia Gonzalez Campo
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
| | - Adolfo M. García
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
- Departamento de Lingüística y LiteraturaFacultad de HumanidadesUniversidad de Santiago de ChileEstación CentralSantiagoChile
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Toro-Hernández FD, Migeot J, Marchant N, Olivares D, Ferrante F, González-Gómez R, González Campo C, Fittipaldi S, Rojas-Costa GM, Moguilner S, Slachevsky A, Chaná Cuevas P, Ibáñez A, Chaigneau S, García AM. Neurocognitive correlates of semantic memory navigation in Parkinson's disease. NPJ Parkinsons Dis 2024; 10:15. [PMID: 38195756 PMCID: PMC10776628 DOI: 10.1038/s41531-024-00630-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/29/2023] [Indexed: 01/11/2024] Open
Abstract
Cognitive studies on Parkinson's disease (PD) reveal abnormal semantic processing. Most research, however, fails to indicate which conceptual properties are most affected and capture patients' neurocognitive profiles. Here, we asked persons with PD, healthy controls, and individuals with behavioral variant frontotemporal dementia (bvFTD, as a disease control group) to read concepts (e.g., 'sun') and list their features (e.g., hot). Responses were analyzed in terms of ten word properties (including concreteness, imageability, and semantic variability), used for group-level comparisons, subject-level classification, and brain-behavior correlations. PD (but not bvFTD) patients produced more concrete and imageable words than controls, both patterns being associated with overall cognitive status. PD and bvFTD patients showed reduced semantic variability, an anomaly which predicted semantic inhibition outcomes. Word-property patterns robustly classified PD (but not bvFTD) patients and correlated with disease-specific hypoconnectivity along the sensorimotor and salience networks. Fine-grained semantic assessments, then, can reveal distinct neurocognitive signatures of PD.
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Affiliation(s)
- Felipe Diego Toro-Hernández
- Graduate Program in Neuroscience and Cognition, Federal University of ABC, São Paulo, Brazil
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Joaquín Migeot
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Nicolás Marchant
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Daniela Olivares
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Laboratorio de Neuropsicología y Neurociencias Clínicas, Universidad de Chile, Santiago, Chile
| | - Franco Ferrante
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Facultad de Ingeniería, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Raúl González-Gómez
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Cecilia González Campo
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Gonzalo M Rojas-Costa
- Department of Radiology, Clínica las Condes, Santiago, Chile
- Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile
- Join Unit FISABIO-CIPF, Valencia, Spain
- School of Medicine, Finis Terrae University, Santiago, Chile
- Health Innovation Center, Clínica Las Condes, Santiago, Chile
| | - Sebastian Moguilner
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Andrea Slachevsky
- Memory and Neuropsychiatric Center (CMYN), Neurology Department, Hospital del Salvador & Faculty of Medicine, University of Chile, Santiago, Chile
- Geroscience Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopatology Program - Institute of Biomedical Sciences (ICBM), Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
- Neurology and Psychiatry Department, Clínica Alemana-Universidad Desarrollo, Santiago, Chile
| | - Pedro Chaná Cuevas
- Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile
| | - Agustín Ibáñez
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Sergio Chaigneau
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Center for Cognition Research, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Adolfo M García
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile.
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina.
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland.
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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Liu Y, Ouyang M, Peng W, Zhang W, Lu K, He Y, Zeng X, Yuan J. By Carrot or by Stick: The Influence of Encouraging and Discouraging Facial Feedback on Implicit Rule Learning. Behav Sci (Basel) 2024; 14:36. [PMID: 38247688 PMCID: PMC10812984 DOI: 10.3390/bs14010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/14/2023] [Accepted: 01/04/2024] [Indexed: 01/23/2024] Open
Abstract
Implicit learning refers to the process of unconsciously learning complex knowledge through feedback. Previous studies investigated the influences of different types of feedback (e.g., social and non-social feedback) on implicit learning. This study focused on the social information presented in the learning situation and tried to explore the effects of different social feedback on implicit rule learning. We assigned participants randomly into an encouraging facial feedback group (happy expression for correct answer, neutral but not negative expression for incorrect answer) and a discouraging facial feedback group (neutral but not happy expression for correct answer, negative expression for incorrect answer). The implicit learning task included four difficulty levels, and social feedback was presented in the learning phase but not the testing phase in two experiments. The only difference between the two experiments was that the sad face used as negative feedback in Experiment 1 was replaced with an angry face in Experiment 2 to enhance the ecological validity of the discouraging facial feedback group. These two experiments yielded consistent results: the performances in the encouraging facial feedback group were more accurate in both the learning and the testing phases at all difficulty levels. These findings indicated that the influence of encouraging social feedback for a better implicit learning achievement was stable and established a new groundwork for future research on incentive-based education, making it critical to investigate the impact of various forms of encouraging-based education on learning.
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Affiliation(s)
- Yiling Liu
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Muxin Ouyang
- Psychology Department, Skidmore College, Saratoga Springs, NY 12866, USA;
| | - Wenjie Peng
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Wenyang Zhang
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Keming Lu
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Yujun He
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Xiangyan Zeng
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
| | - Jie Yuan
- The School of Psychology, South China Normal University, Guangzhou 510631, China; (Y.L.); (W.P.); (W.Z.); (K.L.); (Y.H.); (X.Z.)
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Prado P, Medel V, Gonzalez-Gomez R, Sainz-Ballesteros A, Vidal V, Santamaría-García H, Moguilner S, Mejia J, Slachevsky A, Behrens MI, Aguillon D, Lopera F, Parra MA, Matallana D, Maito MA, Garcia AM, Custodio N, Funes AÁ, Piña-Escudero S, Birba A, Fittipaldi S, Legaz A, Ibañez A. The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds. Sci Data 2023; 10:889. [PMID: 38071313 PMCID: PMC10710425 DOI: 10.1038/s41597-023-02806-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson's disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21-89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.
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Affiliation(s)
- Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Raul Gonzalez-Gomez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | | | - Victor Vidal
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Hernando Santamaría-García
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jhony Mejia
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Departamento de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Geroscience Center for Brain Health and Metabolism, (GERO), Santiago de Chile, Chile
- Memory and Neuropsychiatric Center (CMYN), Memory Unit - Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago de Chile, Chile
| | - Maria Isabel Behrens
- Centro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Independencia, Santiago, 8380430, Chile
- Departamento de Neurociencia, Facultad de Medicina, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Psiquiatría, Clínica Alemana-Universidad del Desarrollo, Santiago, 8370065, Chile
| | - David Aguillon
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Mario A Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Diana Matallana
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, Bogotá, Colombia
| | - Marcelo Adrián Maito
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Adolfo M Garcia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Nilton Custodio
- Unit Cognitive Impairment and Dementia Prevention, Peruvian Institute of Neurosciences, Lima, Peru
| | - Alberto Ávila Funes
- Geriatrics Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Stefanie Piña-Escudero
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Tenerife, Spain
- Facultad de Psicología, Universidad de La Laguna, Tenerife, Spain
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustina Legaz
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA.
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina.
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7
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Ou M, Peng W, Zhang W, Ouyang M, Liu Y, Lu K, Zeng X, Yuan J. The Role of In-Group and Out-Group Facial Feedback in Implicit Rule Learning. Behav Sci (Basel) 2023; 13:963. [PMID: 38131819 PMCID: PMC10741090 DOI: 10.3390/bs13120963] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/29/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
Implicit learning refers to the fact that people acquire new knowledge (structures or rules) without conscious awareness. Previous studies have shown that implicit learning is affected by feedback. However, few studies have investigated the role of social feedback in implicit learning concretely. Here, we conducted two experiments to explore how in-group and out-group facial feedback impact different difficulty levels of implicit rule learning. In Experiment 1, the Chinese participants in each group could only see one type of facial feedback, i.e., either in-group (East Asian) or out-group (Western) faces, and learned the implicit rule through happy and sad facial expressions. The only difference between Experiment 2 and Experiment 1 was that the participants saw both the in-group and out-group faces before group assignment to strengthen the contrast between the two group identities. The results showed that only in Experiment 2 but not Experiment 1 was there a significant interaction effect in the accuracy of tasks between the difficulty levels and groups. For the lowest difficulty level, the learning accuracy of the in-group facial feedback group was significantly higher than that of the out-group facial feedback group, whereas this did not happen at the two highest levels of difficulty. In conclusion, when the contrast of group identities was highlighted, out-group feedback reduced the accuracy of the least difficult task; on the contrary, there was no accuracy difference between out-group and in-group feedback conditions. These findings have extensively important implications for our understanding of implicit learning and improving teaching achievement in the context of educational internationalization.
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Affiliation(s)
- Meijun Ou
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Wenjie Peng
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Wenyang Zhang
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Muxin Ouyang
- Psychology Department, Skidmore College, Saratoga Springs, NY 12866, USA;
| | - Yiling Liu
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Keming Lu
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Xiangyan Zeng
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
| | - Jie Yuan
- School of Psychology, South China Normal University, Guangzhou 510631, China; (M.O.); (W.P.); (W.Z.); (Y.L.); (K.L.); (X.Z.)
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8
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Ogonowski N, Santamaria-Garcia H, Baez S, Lopez A, Laserna A, Garcia-Cifuentes E, Ayala-Ramirez P, Zarante I, Suarez-Obando F, Reyes P, Kauffman M, Cochran N, Schulte M, Sirkis DW, Spina S, Yokoyama JS, Miller BL, Kosik KS, Matallana D, Ibáñez A. Frontotemporal dementia presentation in patients with heterozygous p.H157Y variant of TREM2. J Med Genet 2023; 60:894-904. [PMID: 36813542 PMCID: PMC10447405 DOI: 10.1136/jmg-2022-108627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 02/06/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND The triggering receptor expressed on myeloid cell 2 (TREM2) is a major regulator of neuroinflammatory processes in neurodegeneration. To date, the p.H157Y variant of TREM2 has been reported only in patients with Alzheimer's disease. Here, we report three patients with frontotemporal dementia (FTD) from three unrelated families with heterozygous p.H157Y variant of TREM2: two patients from Colombian families (study 1) and a third Mexican origin case from the USA (study 2). METHODS To determine if the p.H157Y variant might be associated with a specific FTD presentation, we compared in each study the cases with age-matched, sex-matched and education-matched groups-a healthy control group (HC) and a group with FTD with neither TREM2 mutations nor family antecedents (Ng-FTD and Ng-FTD-MND). RESULTS The two Colombian cases presented with early behavioural changes, greater impairments in general cognition and executive function compared with both HC and Ng-FTD groups. These patients also exhibited brain atrophy in areas characteristic of FTD. Furthermore, TREM2 cases showed increased atrophy compared with Ng-FTD in frontal, temporal, parietal, precuneus, basal ganglia, parahippocampal/hippocampal and cerebellar regions. The Mexican case presented with FTD and motor neuron disease (MND), showing grey matter reduction in basal ganglia and thalamus, and extensive TDP-43 type B pathology. CONCLUSION In all TREM2 cases, multiple atrophy peaks overlapped with the maximum peaks of TREM2 gene expression in crucial brain regions including frontal, temporal, thalamic and basal ganglia areas. These results provide the first report of an FTD presentation potentially associated with the p.H157Y variant with exacerbated neurocognitive impairments.
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Affiliation(s)
- Natalia Ogonowski
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile, Santiago de Chile, Chile
| | - Hernando Santamaria-Garcia
- Global Brain Health Institute (GBHI), University California San Francisco (UCSF), San Francisco, California, USA
- Pontificia Universidad Javeriana. Ph.D Program of Neuroscience, Bogotá, Colombia
- Hospital Universitario San Ignacio. Centro de Memoria y Cognición Intellectus, Bogotá, Colombia
| | | | - Andrea Lopez
- Hospital Universitario de la Fundación Santa Fe de Bogotá, Bogota, Colombia
- Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Andrés Laserna
- Pontificia Universidad Javeriana, Bogota, Colombia
- University of Rochester Medical Center. Department of Anesthesiology and Perioperative Medicine. of Anesthesiology and Perioperative Medicine, Rochester, NY, New York, USA
| | - Elkin Garcia-Cifuentes
- Pontificia Universidad Javeriana, Bogota, Colombia
- Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Paola Ayala-Ramirez
- Human Genomics Institute, Pontificia Universidad Javeriana, Bogota, Colombia
| | | | | | - Pablo Reyes
- Pontificia Universidad Javeriana, Bogota, Colombia
| | - Marcelo Kauffman
- Hospital General de Agudos Jose Maria Ramos Mejia Consultorio y Laboratorio de Neurogenetica, Buenos Aires, Argentina
- Universidad Austral. IIMT-FCB. Conicet, Buenos Aires, Argentina
| | | | | | - Daniel W Sirkis
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Weil Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | - Salvatore Spina
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jennifer S Yokoyama
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Weil Institute of Neuroscience, University of California, San Francisco, San Francisco, California, USA
| | | | - Kenneth S Kosik
- University of California Santa Barbara, Santa Barbara, California, USA
| | - Diana Matallana
- Pontificia Universidad Javeriana, Bogota, Colombia
- Hospital Universitario Fundación Santa Fe, Bogotá, Colombia
| | - Agustín Ibáñez
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile, Santiago de Chile, Chile
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andres & CONICET, Buenos Aires, Argentina
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9
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Legaz A, Prado P, Moguilner S, Báez S, Santamaría-García H, Birba A, Barttfeld P, García AM, Fittipaldi S, Ibañez A. Social and non-social working memory in neurodegeneration. Neurobiol Dis 2023; 183:106171. [PMID: 37257663 PMCID: PMC11177282 DOI: 10.1016/j.nbd.2023.106171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 05/08/2023] [Accepted: 05/24/2023] [Indexed: 06/02/2023] Open
Abstract
Although social functioning relies on working memory, whether a social-specific mechanism exists remains unclear. This undermines the characterization of neurodegenerative conditions with both working memory and social deficits. We assessed working memory domain-specificity across behavioral, electrophysiological, and neuroimaging dimensions in 245 participants. A novel working memory task involving social and non-social stimuli with three load levels was assessed across controls and different neurodegenerative conditions with recognized impairments in: working memory and social cognition (behavioral-variant frontotemporal dementia); general cognition (Alzheimer's disease); and unspecific patterns (Parkinson's disease). We also examined resting-state theta oscillations and functional connectivity correlates of working memory domain-specificity. Results in controls and all groups together evidenced increased working memory demands for social stimuli associated with frontocinguloparietal theta oscillations and salience network connectivity. Canonical frontal theta oscillations and executive-default mode network anticorrelation indexed non-social stimuli. Behavioral-variant frontotemporal dementia presented generalized working memory deficits related to posterior theta oscillations, with social stimuli linked to salience network connectivity. In Alzheimer's disease, generalized working memory impairments were related to temporoparietal theta oscillations, with non-social stimuli linked to the executive network. Parkinson's disease showed spared working memory performance and canonical brain correlates. Findings support a social-specific working memory and related disease-selective pathophysiological mechanisms.
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Affiliation(s)
- Agustina Legaz
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Universidad Nacional de Córdoba, Facultad de Psicología, Córdoba, Argentina
| | - Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile; Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Sebastián Moguilner
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, United States; Trinity College Dublin (TCD), Dublin, Ireland
| | | | - Hernando Santamaría-García
- Pontificia Universidad Javeriana, Medical School, Physiology and Psychiatry Departments, Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Agustina Birba
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; Facultad de Psicología, Universidad de La Laguna, Tenerife, Spain; Instituto Universitario de Neurociencia, Universidad de La Laguna, Tenerife, Spain
| | - Pablo Barttfeld
- Cognitive Science Group. Instituto de Investigaciones Psicológicas (IIPsi), CONICET UNC, Facultad de Psicología, Universidad Nacional de Córdoba, Boulevard de la Reforma esquina Enfermera Gordillo, CP 5000. Córdoba, Argentina
| | - Adolfo M García
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, United States; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile; Trinity College Dublin (TCD), Dublin, Ireland
| | - Sol Fittipaldi
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, United States; Trinity College Dublin (TCD), Dublin, Ireland.
| | - Agustín Ibañez
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, United States; Trinity College Dublin (TCD), Dublin, Ireland.
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10
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Perl YS, Zamora-Lopez G, Montbrió E, Monge-Asensio M, Vohryzek J, Fittipaldi S, Campo CG, Moguilner S, Ibañez A, Tagliazucchi E, Yeo BTT, Kringelbach ML, Deco G. The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations. Netw Neurosci 2023; 7:632-660. [PMID: 37397876 PMCID: PMC10312285 DOI: 10.1162/netn_a_00299] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 12/02/2022] [Indexed: 12/25/2023] Open
Abstract
Large variability exists across brain regions in health and disease, considering their cellular and molecular composition, connectivity, and function. Large-scale whole-brain models comprising coupled brain regions provide insights into the underlying dynamics that shape complex patterns of spontaneous brain activity. In particular, biophysically grounded mean-field whole-brain models in the asynchronous regime were used to demonstrate the dynamical consequences of including regional variability. Nevertheless, the role of heterogeneities when brain dynamics are supported by synchronous oscillating state, which is a ubiquitous phenomenon in brain, remains poorly understood. Here, we implemented two models capable of presenting oscillatory behavior with different levels of abstraction: a phenomenological Stuart-Landau model and an exact mean-field model. The fit of these models informed by structural- to functional-weighted MRI signal (T1w/T2w) allowed us to explore the implication of the inclusion of heterogeneities for modeling resting-state fMRI recordings from healthy participants. We found that disease-specific regional functional heterogeneity imposed dynamical consequences within the oscillatory regime in fMRI recordings from neurodegeneration with specific impacts on brain atrophy/structure (Alzheimer's patients). Overall, we found that models with oscillations perform better when structural and functional regional heterogeneities are considered, showing that phenomenological and biophysical models behave similarly at the brink of the Hopf bifurcation.
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Affiliation(s)
- Yonatan Sanz Perl
- Department of Physics, University of Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), CABA, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
| | - Gorka Zamora-Lopez
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
| | - Ernest Montbrió
- Neuronal Dynamics Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Martí Monge-Asensio
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
| | - Jakub Vohryzek
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, United Kingdom
| | - Sol Fittipaldi
- National Scientific and Technical Research Council (CONICET), CABA, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, CA, USA; and Trinity College Dublin, Dublin, Ireland
| | - Cecilia González Campo
- National Scientific and Technical Research Council (CONICET), CABA, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
| | - Sebastián Moguilner
- Global Brain Health Institute, University of California, San Francisco, CA, USA; and Trinity College Dublin, Dublin, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Agustín Ibañez
- National Scientific and Technical Research Council (CONICET), CABA, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, CA, USA; and Trinity College Dublin, Dublin, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland
| | - Enzo Tagliazucchi
- Department of Physics, University of Buenos Aires, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), CABA, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - B. T. Thomas Yeo
- Centre for Sleep and Cognition, Centre for Translational MR Research, Department of Electrical and Computer Engineering, N.1 Institute for Health and Institute for Digital Medicine, National University of Singapore, Singapore
| | - Morten L. Kringelbach
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, United Kingdom
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
- Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avancats (ICREA), Barcelona, Spain
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- School of Psychological Sciences, Monash University, Melbourne, Australia
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11
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Fittipaldi S, Baez S, Gonzalez-Silva C, Duran-Aniotz C. Latin American women in dementia research: outstanding contributions, barriers, and opportunities from Argentinian, Chilean, and Colombian colleagues. Front Aging Neurosci 2023; 15:1168414. [PMID: 37358953 PMCID: PMC10285056 DOI: 10.3389/fnagi.2023.1168414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
Women's contributions to science have been consistently underrepresented throughout history. Despite many efforts and some progresses being made to reduce gender inequity in science, pursuing an academic career across disciplines, including Alzheimer's disease (AD) and other dementias, remains challenging for women. Idiosyncratic difficulties of Latin American countries likely accentuate the gender gap. In this Perspective, we celebrate outstanding contributions from Argentinian, Chilean, and Colombian colleagues in dementia research and discuss barriers and opportunities identified by them. We aim to acknowledge Latin American women's work and bring visibility to the challenges they face throughout their careers in order to inform potential solutions. Also, we highlight the need to perform a systematic assessment of the gender gap in the Latin American dementia community of researchers.
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Affiliation(s)
- Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile
- Global Brain Health Institute (GBHI), Trinity College Dublin (TCD), Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andres (UdeSA), Buenos Aires, Argentina
| | - Sandra Baez
- Departamento de Psicología, Universidad de los Andes, Bogotá, Colombia
| | - Carolina Gonzalez-Silva
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile
| | - Claudia Duran-Aniotz
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibañez, Santiago, Chile
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12
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Berry BM, Miller LR, Berns M, Kucewicz M. The Possibility of Eidetic Memory in a Patient Report of Epileptogenic Zone in Right Temporo-Parietal-Occipital Cortex. Life (Basel) 2023; 13:956. [PMID: 37109485 PMCID: PMC10145536 DOI: 10.3390/life13040956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 04/29/2023] Open
Abstract
Eidetic memory has been reported in children and in patients with synesthesia but is otherwise thought to be a rare phenomenon. Presented herein is a patient with right-sided language dominance, as proven via multiple functional imaging and neuropsychometric methods, who has a seizure onset zone in the right temporo-parietal-occipital cortex. This patient's medically refractory epilepsy and thus hyperactive cortex could possibly contribute to near eidetic ability with paired-associates learning tasks (in both short-term and long-term retention). There are reports of epilepsy negatively affecting memory, but as far as the authors are aware to date, there is limited evidence of any lesion enhancing cognitive functions (whether through direct lesion or via compensatory mechanism) that would be localized to a seizure onset zone in the dominant temporo-parietal-occipital junction.
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Affiliation(s)
- Brent M. Berry
- University of Minnesota Medical School, 420 Delaware St SE, Minneapolis, MN 55455, USA
- Neurology Department, University of Minnesota, 516 Delaware St SE, Minneapolis, MN 55455, USA
- VA Medical Center, 1 Veterans Drive, Minneapolis, MN 55417, USA
- Mayo Clinic, Department of Neurology, Department of Sleep Medicine, Department of Physiology & Biomedical Engineering, 200 First St. SW, Rochester, MN 55905, USA
- BioTechMed Center, Brain & Mind Electrophysiology Lab, Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland
| | - Laura R. Miller
- Mayo Clinic, Department of Neurology, Department of Sleep Medicine, Department of Physiology & Biomedical Engineering, 200 First St. SW, Rochester, MN 55905, USA
| | - Meaghan Berns
- University of Minnesota Medical School, 420 Delaware St SE, Minneapolis, MN 55455, USA
- Neurology Department, University of Minnesota, 516 Delaware St SE, Minneapolis, MN 55455, USA
| | - Michal Kucewicz
- Mayo Clinic, Department of Neurology, Department of Sleep Medicine, Department of Physiology & Biomedical Engineering, 200 First St. SW, Rochester, MN 55905, USA
- BioTechMed Center, Brain & Mind Electrophysiology Lab, Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland
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13
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Prado P, Moguilner S, Mejía JA, Sainz-Ballesteros A, Otero M, Birba A, Santamaria-Garcia H, Legaz A, Fittipaldi S, Cruzat J, Tagliazucchi E, Parra M, Herzog R, Ibáñez A. Source space connectomics of neurodegeneration: One-metric approach does not fit all. Neurobiol Dis 2023; 179:106047. [PMID: 36841423 PMCID: PMC11170467 DOI: 10.1016/j.nbd.2023.106047] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 02/05/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Brain functional connectivity in dementia has been assessed with dissimilar EEG connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In this scenario, joint analyses integrating information from different metrics may allow for a more comprehensive characterization of brain functional interactions in different dementia subtypes. To test this hypothesis, resting-state electroencephalogram (rsEEG) was recorded in individuals with Alzheimer's Disease (AD), behavioral variant frontotemporal dementia (bvFTD), and healthy controls (HCs). Whole-brain functional connectivity was estimated in the EEG source space using 101 different types of functional connectivity, capturing linear and nonlinear interactions in both time and frequency-domains. Multivariate machine learning and progressive feature elimination was run to discriminate AD from HCs, and bvFTD from HCs, based on joint analyses of i) EEG frequency bands, ii) complementary frequency-domain metrics (e.g., instantaneous, lagged, and total connectivity), and iii) time-domain metrics with different linearity assumption (e.g., Pearson correlation coefficient and mutual information). <10% of all possible connections were responsible for the differences between patients and controls, and atypical connectivity was never captured by >1/4 of all possible connectivity measures. Joint analyses revealed patterns of hypoconnectivity (patientsHCs) in both groups was mainly identified in frontotemporal regions. These atypicalities were differently captured by frequency- and time-domain connectivity metrics, in a bandwidth-specific fashion. The multi-metric representation of source space whole-brain functional connectivity evidenced the inadequacy of single-metric approaches, and resulted in a valid alternative for the selection problem in EEG connectivity. These joint analyses reveal patterns of brain functional interdependence that are overlooked with single metrics approaches, contributing to a more reliable and interpretable description of atypical functional connectivity in neurodegeneration.
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Affiliation(s)
- Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Jhony A Mejía
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Departamento de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia
| | | | - Mónica Otero
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago, Chile; Centro BASAL Ciencia & Vida, Universidad San Sebastián, Santiago, Chile
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Hernando Santamaria-Garcia
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia; Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia; Global Brain Health Institute, University of California San Francisco, San Francisco, California; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Agustina Legaz
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Josephine Cruzat
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA -CONICET), Buenos Aires, Argentina
| | - Mario Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Rubén Herzog
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Fundación para el Estudio de la Conciencia Humana (EcoH), Chile
| | - Agustín Ibáñez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina; PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia; Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia; Trinity College Dublin (TCD), Dublin, Ireland.
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14
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Moguilner S, Whelan R, Adams H, Valcour V, Tagliazucchi E, Ibáñez A. Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples. EBioMedicine 2023; 90:104540. [PMID: 36972630 PMCID: PMC10066533 DOI: 10.1016/j.ebiom.2023.104540] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/02/2023] [Accepted: 03/10/2023] [Indexed: 03/28/2023] Open
Abstract
BACKGROUND Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MRI signals, or cultural origins), classifications of disease are difficult due to demographic and region-specific sample heterogeneities, lower quality scanners, and non-harmonised pipelines. METHODS We implemented a fully automatic computer-vision classifier using deep learning neural networks. A DenseNet was applied on raw (unpreprocessed) data from 3000 participants (behavioural variant frontotemporal dementia-bvFTD, Alzheimer's disease-AD, and healthy controls; both male and female as self-reported by participants). We tested our results in demographically matched and unmatched samples to discard possible biases and performed multiple out-of-sample validations. FINDINGS Robust classification results across all groups were achieved from standardised 3T neuroimaging data from the Global North, which also generalised to standardised 3T neuroimaging data from Latin America. Moreover, DenseNet also generalised to non-standardised, routine 1.5T clinical images from Latin America. These generalisations were robust in samples with heterogenous MRI recordings and were not confounded by demographics (i.e., were robust in both matched and unmatched samples, and when incorporating demographic variables in a multifeatured model). Model interpretability analysis using occlusion sensitivity evidenced core pathophysiological regions for each disease (mainly the hippocampus in AD, and the insula in bvFTD) demonstrating biological specificity and plausibility. INTERPRETATION The generalisable approach outlined here could be used in the future to aid clinician decision-making in diverse samples. FUNDING The specific funding of this article is provided in the acknowledgements section.
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Affiliation(s)
- Sebastian Moguilner
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA; Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland; Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Robert Whelan
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA; Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland; Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland
| | - Hieab Adams
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Victor Valcour
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA; Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Enzo Tagliazucchi
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Department of Physics, University of Buenos Aires, Caba, Argentina
| | - Agustín Ibáñez
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA; Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland; Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland.
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15
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Sanz Perl Y, Fittipaldi S, Gonzalez Campo C, Moguilner S, Cruzat J, Fraile-Vazquez ME, Herzog R, Kringelbach ML, Deco G, Prado P, Ibanez A, Tagliazucchi E. Model-based whole-brain perturbational landscape of neurodegenerative diseases. eLife 2023; 12:e83970. [PMID: 36995213 PMCID: PMC10063230 DOI: 10.7554/elife.83970] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 03/15/2023] [Indexed: 03/31/2023] Open
Abstract
The treatment of neurodegenerative diseases is hindered by lack of interventions capable of steering multimodal whole-brain dynamics towards patterns indicative of preserved brain health. To address this problem, we combined deep learning with a model capable of reproducing whole-brain functional connectivity in patients diagnosed with Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD). These models included disease-specific atrophy maps as priors to modulate local parameters, revealing increased stability of hippocampal and insular dynamics as signatures of brain atrophy in AD and bvFTD, respectively. Using variational autoencoders, we visualized different pathologies and their severity as the evolution of trajectories in a low-dimensional latent space. Finally, we perturbed the model to reveal key AD- and bvFTD-specific regions to induce transitions from pathological to healthy brain states. Overall, we obtained novel insights on disease progression and control by means of external stimulation, while identifying dynamical mechanisms that underlie functional alterations in neurodegeneration.
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Affiliation(s)
- Yonatan Sanz Perl
- Department of Physics, University of Buenos AiresBuenos AiresArgentina
- National Scientific and Technical Research Council (CONICET), CABABuenos AiresArgentina
- Cognitive Neuroscience Center (CNC), Universidad de San AndrésBuenos AiresArgentina
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu FabraBarcelonaSpain
| | - Sol Fittipaldi
- National Scientific and Technical Research Council (CONICET), CABABuenos AiresArgentina
- Cognitive Neuroscience Center (CNC), Universidad de San AndrésBuenos AiresArgentina
| | - Cecilia Gonzalez Campo
- National Scientific and Technical Research Council (CONICET), CABABuenos AiresArgentina
- Cognitive Neuroscience Center (CNC), Universidad de San AndrésBuenos AiresArgentina
| | - Sebastián Moguilner
- Global Brain Health Institute, University of California, San FranciscoSan FranciscoUnited States
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
| | - Josephine Cruzat
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu FabraBarcelonaSpain
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
| | | | - Rubén Herzog
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
| | - Morten L Kringelbach
- Department of Psychiatry, University of OxfordOxfordUnited Kingdom
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus UniversityÅrhusDenmark
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of MinhoBragaPortugal
- Centre for Eudaimonia and Human Flourishing, University of OxfordOxfordUnited Kingdom
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu FabraBarcelonaSpain
- Department of Information and Communication Technologies, Universitat Pompeu FabraBarcelonaSpain
- Institució Catalana de la Recerca i Estudis Avancats (ICREA)BarcelonaSpain
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- School of Psychological Sciences, Monash UniversityClaytonAustralia
| | - Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San SebastiánSantiagoChile
| | - Agustin Ibanez
- National Scientific and Technical Research Council (CONICET), CABABuenos AiresArgentina
- Cognitive Neuroscience Center (CNC), Universidad de San AndrésBuenos AiresArgentina
- Global Brain Health Institute, University of California, San FranciscoSan FranciscoUnited States
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
- Trinity College Institute of Neuroscience (TCIN), Trinity College DublinDublinIreland
| | - Enzo Tagliazucchi
- Department of Physics, University of Buenos AiresBuenos AiresArgentina
- National Scientific and Technical Research Council (CONICET), CABABuenos AiresArgentina
- Cognitive Neuroscience Center (CNC), Universidad de San AndrésBuenos AiresArgentina
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo IbáñezSantiagoChile
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16
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Zhao Y, Zhang M, Wu H, He X, Todoh M. Neuromechanics-Based Neural Feedback Controller for Planar Arm Reaching Movements. Bioengineering (Basel) 2023; 10:bioengineering10040436. [PMID: 37106623 PMCID: PMC10136284 DOI: 10.3390/bioengineering10040436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 04/29/2023] Open
Abstract
Based on the principles of neuromechanics, human arm movements result from the dynamic interaction between the nervous, muscular, and skeletal systems. To develop an effective neural feedback controller for neuro-rehabilitation training, it is important to consider both the effects of muscles and skeletons. In this study, we designed a neuromechanics-based neural feedback controller for arm reaching movements. To achieve this, we first constructed a musculoskeletal arm model based on the actual biomechanical structure of the human arm. Subsequently, a hybrid neural feedback controller was developed that mimics the multifunctional areas of the human arm. The performance of this controller was then validated through numerical simulation experiments. The simulation results demonstrated a bell-shaped movement trajectory, consistent with the natural motion of human arm movements. Furthermore, the experiment testing the tracking ability of the controller revealed real-time errors within one millimeter, with the tensile force generated by the controller's muscles being stable and maintained at a low value, thereby avoiding the issue of muscle strain that can occur due to excessive excitation during the neurorehabilitation process.
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Affiliation(s)
- Yongkun Zhao
- Division of Human Mechanical Systems and Design, Graduate School of Engineering, Hokkaido University, Sapporo 060-8628, Japan
- Division of Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan
| | - Mingquan Zhang
- State Key Laboratory of Bioelectronics, Jiangsu Provincial Key Laboratory of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
| | - Haijun Wu
- Division of Mechanical and Aerospace Engineering, Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan
| | - Xiangkun He
- Department of Bioengineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK
| | - Masahiro Todoh
- Division of Mechanical and Aerospace Engineering, Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan
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17
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Cruzat J, Herzog R, Prado P, Sanz-Perl Y, Gonzalez-Gomez R, Moguilner S, Kringelbach ML, Deco G, Tagliazucchi E, Ibañez A. Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease. J Neurosci 2023; 43:1643-1656. [PMID: 36732071 PMCID: PMC10008060 DOI: 10.1523/jneurosci.1312-22.2022] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 12/12/2022] [Accepted: 12/25/2022] [Indexed: 02/04/2023] Open
Abstract
Healthy brain dynamics can be understood as the emergence of a complex system far from thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a preferred direction in time (i.e., arrow of time). However, little is known about how the time-reversal symmetry of spontaneous brain activity is affected by Alzheimer's disease (AD). We hypothesized that the level of irreversibility would be compromised in AD, signaling a fundamental shift in the collective properties of brain activity toward equilibrium dynamics. We investigated the irreversibility from resting-state fMRI and EEG data in male and female human patients with AD and elderly healthy control subjects (HCs). We quantified the level of irreversibility and, thus, proximity to nonequilibrium dynamics by comparing forward and backward time series through time-shifted correlations. AD was associated with a breakdown of temporal irreversibility at the global, local, and network levels, and at multiple oscillatory frequency bands. At the local level, temporoparietal and frontal regions were affected by AD. The limbic, frontoparietal, default mode, and salience networks were the most compromised at the network level. The temporal reversibility was associated with cognitive decline in AD and gray matter volume in HCs. The irreversibility of brain dynamics provided higher accuracy and more distinctive information than classical neurocognitive measures when differentiating AD from control subjects. Findings were validated using an out-of-sample cohort. Present results offer new evidence regarding pathophysiological links between the entropy generation rate of brain dynamics and the clinical presentation of AD, opening new avenues for dementia characterization at different levels.SIGNIFICANCE STATEMENT By assessing the irreversibility of large-scale dynamics across multiple brain signals, we provide a precise signature capable of distinguishing Alzheimer's disease (AD) at the global, local, and network levels and different oscillatory regimes. Irreversibility of limbic, frontoparietal, default-mode, and salience networks was the most compromised by AD compared with more sensory-motor networks. Moreover, the time-irreversibility properties associated with cognitive decline and atrophy outperformed and complemented classical neurocognitive markers of AD in predictive classification performance. Findings were generalized and replicated with an out-of-sample validation procedure. We provide novel multilevel evidence of reduced irreversibility in AD brain dynamics that has the potential to open new avenues for understating neurodegeneration in terms of the temporal asymmetry of brain dynamics.
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Affiliation(s)
- Josephine Cruzat
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- Fundación para el Estudio de la Conciencia Humana (ECoH), 7550000, Santiago, Chile
| | - Ruben Herzog
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- Fundación para el Estudio de la Conciencia Humana (ECoH), 7550000, Santiago, Chile
| | - Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Yonatan Sanz-Perl
- Department of Physics, University of Buenos Aires, C1428EGA, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1033AAJ, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, C116ABJ, Buenos Aires, Argentina
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Raul Gonzalez-Gomez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- Global Brain Health Institute, University of California, San Francisco, San Francisco, California 94143
- Global Brain Health Institute, Trinity College, Dublin 2, Ireland
| | - Morten L Kringelbach
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, 8000 Århus, Denmark
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford OX3 9BX, United Kingdom
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, 08005 Barcelona, Spain
- Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Spain
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, D-04303 Leipzig, Germany
- School of Psychological Sciences, Monash University, Melbourne 3168, Australia
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- Department of Physics, University of Buenos Aires, C1428EGA, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1033AAJ, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, C116ABJ, Buenos Aires, Argentina
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, 7911328, Santiago, Chile
- National Scientific and Technical Research Council (CONICET), C1033AAJ, Buenos Aires, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, C116ABJ, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, San Francisco, California 94143
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
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18
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Lopes da Cunha P, Fittipaldi S, González Campo C, Kauffman M, Rodríguez-Quiroga S, Yacovino DA, Ibáñez A, Birba A, García AM. Social concepts and the cerebellum: behavioural and functional connectivity signatures in cerebellar ataxic patients. Philos Trans R Soc Lond B Biol Sci 2023; 378:20210364. [PMID: 36571119 PMCID: PMC9791482 DOI: 10.1098/rstb.2021.0364] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 09/26/2022] [Indexed: 12/27/2022] Open
Abstract
Neurocognitive research on social concepts underscores their reliance on fronto-temporo-limbic regions mediating broad socio-cognitive skills. Yet, the field has neglected another structure increasingly implicated in social cognition: the cerebellum. The present exploratory study examines this link combining a novel naturalistic text paradigm, a relevant atrophy model and functional magnetic resonance imaging. Fifteen cerebellar ataxia (CA) patients with focal cerebellar atrophy and 29 matched controls listened to a social text (highlighting interpersonal events) as well as a non-social text (focused on a single person's actions), and answered comprehension questionnaires. We compared behavioural outcomes between groups and examined their association with cerebellar connectivity. CA patients showed deficits in social text comprehension and normal scores in the non-social text. Also, social text outcomes in controls selectively correlated with connectivity between the cerebellum and key regions subserving multi-modal semantics and social cognition, including the superior and medial temporal gyri, the temporal pole and the insula. Conversely, brain-behaviour associations involving the cerebellum were abolished in the patients. Thus, cerebellar structures and connections seem involved in processing social concepts evoked by naturalistic discourse. Such findings invite new theoretical and translational developments integrating social neuroscience with embodied semantics. This article is part of the theme issue 'Concepts in interaction: social engagement and inner experiences'.
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Affiliation(s)
- Pamela Lopes da Cunha
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Agency for Scientific Promotion and Technology (ANPCyT), Buenos Aires, C1425FQD, Argentina
| | - Sol Fittipaldi
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, C1425FQB, Argentina
- Global Brain Health Institute, University of California San Francisco, 94158-2324, US and Trinity College Dublin, D02 PN40, Ireland
- Latin American Brain Health Institute (BrainLat), Adolfo Ibáñez University, Santiago, 7550344, Chile
| | - Cecilia González Campo
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, C1425FQB, Argentina
| | - Marcelo Kauffman
- Consultorio y Laboratorio de Neurogenética, Centro Universitario de Neurología “José María Ramos Mejía” y División Neurología, Hospital JM Ramos Mejía, Facultad de Medicina, UBA, Buenos Aires, C1221ADC, Argentina
- School of Medicine, UBA, CONICET, Buenos Aires, C1121ABG, Argentina
| | - Sergio Rodríguez-Quiroga
- Consultorio y Laboratorio de Neurogenética, Centro Universitario de Neurología “José María Ramos Mejía” y División Neurología, Hospital JM Ramos Mejía, Facultad de Medicina, UBA, Buenos Aires, C1221ADC, Argentina
| | - Darío Andrés Yacovino
- Department of Neurology, Dr. Cesar Milstein Hospital, Buenos Aires, C1221ACI, Argentina
- Memory and Balance Clinic, Buenos Aires, C1425BPC, Argentina
| | - Agustín Ibáñez
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, C1425FQB, Argentina
- Global Brain Health Institute, University of California San Francisco, 94158-2324, US and Trinity College Dublin, D02 PN40, Ireland
- Latin American Brain Health Institute (BrainLat), Adolfo Ibáñez University, Santiago, 7550344, Chile
| | - Agustina Birba
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, C1425FQB, Argentina
| | - Adolfo M. García
- Cognitive Neuroscience Center, University of San Andrés, Buenos Aires B1644BID, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, C1425FQB, Argentina
- Global Brain Health Institute, University of California San Francisco, 94158-2324, US and Trinity College Dublin, D02 PN40, Ireland
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, 9170022, Chile
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19
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Baez S, Trujillo-Llano C, de Souza LC, Lillo P, Forno G, Santamaría-García H, Okuma C, Alegria P, Huepe D, Ibáñez A, Decety J, Slachevsky A. Moral Emotions and Their Brain Structural Correlates Across Neurodegenerative Disorders. J Alzheimers Dis 2023; 92:153-169. [PMID: 36710684 PMCID: PMC11181819 DOI: 10.3233/jad-221131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Although social cognition is compromised in patients with neurodegenerative disorders such as behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD), research on moral emotions and their neural correlates in these populations is scarce. No previous study has explored the utility of moral emotions, compared to and in combination with classical general cognitive state tools, to discriminate bvFTD from AD patients. OBJECTIVE To examine self-conscious (guilt and embarrassment) and other-oriented (pity and indignation) moral emotions, their subjective experience, and their structural brain underpinnings in bvFTD (n = 31) and AD (n = 30) patients, compared to healthy controls (n = 37). We also explored the potential utility of moral emotions measures to discriminate bvFTD from AD. METHODS We used a modified version of the Moral Sentiment Task measuring the participants' accuracy scores and their emotional subjective experiences. RESULTS bvFTD patients exhibited greater impairments in self-conscious and other-oriented moral emotions as compared with AD patients and healthy controls. Moral emotions combined with general cognitive state tools emerged as useful measures to discriminate bvFTD from AD patients. In bvFTD patients, lower moral emotions scores were associated with lower gray matter volumes in caudate nucleus and inferior and middle temporal gyri. In AD, these scores were associated with lower gray matter volumes in superior and middle frontal gyri, middle temporal gyrus, inferior parietal lobule and supramarginal gyrus. CONCLUSION These findings contribute to a better understanding of moral emotion deficits across neurodegenerative disorders, highlighting the potential benefits of integrating this domain into the clinical assessment.
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Affiliation(s)
| | - Catalina Trujillo-Llano
- Facultad de Psicología, Universidad del Valle, Cali, Colombia
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Leonardo Cruz de Souza
- Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Patricia Lillo
- Geroscience Center for Brain Health and Metabolism, Santiago, Chile
- Departamento de Neurologia Sur, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Gonzalo Forno
- Universidad de los Andes, Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department - ICBM, Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Hernando Santamaría-García
- Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Global Brain Health Institute, University of California, San Francisco, CA, USA
- Universidad Javeriana, PhD Program of Neuroscience, Bogotá, Colombia
| | - Cecilia Okuma
- Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
- Servicio de Neurorradiología, Instituto de Neurocirugía Dr. Asenjo, Servicio de Salud Metropolitano Oriente, Santiago, Chile
| | - Patricio Alegria
- Servicio de Radiología, Hospital Barros Luco Trudeau, San Miguel, Chile
| | - David Huepe
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Agustín Ibáñez
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
| | | | - Andrea Slachevsky
- Geroscience Center for Brain Health and Metabolism, Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department - ICBM, Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
- Memory and Neuropsychiatric Center, Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
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20
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Díaz-Rivera MN, Birba A, Fittipaldi S, Mola D, Morera Y, de Vega M, Moguilner S, Lillo P, Slachevsky A, González Campo C, Ibáñez A, García AM. Multidimensional inhibitory signatures of sentential negation in behavioral variant frontotemporal dementia. Cereb Cortex 2022; 33:403-420. [PMID: 35253864 PMCID: PMC9837611 DOI: 10.1093/cercor/bhac074] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/31/2022] [Accepted: 02/07/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Processing of linguistic negation has been associated to inhibitory brain mechanisms. However, no study has tapped this link via multimodal measures in patients with core inhibitory alterations, a critical approach to reveal direct neural correlates and potential disease markers. METHODS Here we examined oscillatory, neuroanatomical, and functional connectivity signatures of a recently reported Go/No-go negation task in healthy controls and behavioral variant frontotemporal dementia (bvFTD) patients, typified by primary and generalized inhibitory disruptions. To test for specificity, we also recruited persons with Alzheimer's disease (AD), a disease involving frequent but nonprimary inhibitory deficits. RESULTS In controls, negative sentences in the No-go condition distinctly involved frontocentral delta (2-3 Hz) suppression, a canonical inhibitory marker. In bvFTD patients, this modulation was selectively abolished and significantly correlated with the volume and functional connectivity of regions supporting inhibition (e.g. precentral gyrus, caudate nucleus, and cerebellum). Such canonical delta suppression was preserved in the AD group and associated with widespread anatomo-functional patterns across non-inhibitory regions. DISCUSSION These findings suggest that negation hinges on the integrity and interaction of spatiotemporal inhibitory mechanisms. Moreover, our results reveal potential neurocognitive markers of bvFTD, opening a new agenda at the crossing of cognitive neuroscience and behavioral neurology.
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Affiliation(s)
- Mariano N Díaz-Rivera
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT), C1425FQD, Godoy Cruz 2370, Buenos Aires, Argentina
| | - Agustina Birba
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Débora Mola
- Instituto de Investigaciones Psicológicas, CONICET, 5000, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Yurena Morera
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Campus de Guajara, 38205 La Laguna, Santa Cruz de Tenerife, Spain
| | - Manuel de Vega
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Campus de Guajara, 38205 La Laguna, Santa Cruz de Tenerife, Spain
| | - Sebastian Moguilner
- Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000, Santiago, Chile
| | - Patricia Lillo
- Departamento de Neurología Sur, Facultad de Medicina, Universidad de Chile, 8380000, Santiago, Chile.,Unidad de Neurología, Hospital San José, 8380000, Santiago, Chile.,Geroscience Center for Brain Health and Metabolism (GERO), 7800003, Santiago, Chile
| | - Andrea Slachevsky
- Geroscience Center for Brain Health and Metabolism (GERO), 7800003, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, Neuroscience and East Neuroscience Departments, Faculty of Medicine, Institute of Biomedical Sciences (ICBM), University of Chile, 8380000, Santiago, Chile.,Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, 7500000, Santiago, Chile.,Departamento de Medicina, Servicio de Neurología, Clínica Alemana-Universidad del Desarrollo, 7550000, Santiago, Chile
| | - Cecilia González Campo
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Agustín Ibáñez
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina.,Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000, Santiago, Chile
| | - Adolfo M García
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina.,Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, 7550000, Santiago, Chile
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21
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Birba A, Fittipaldi S, Cediel Escobar JC, Gonzalez Campo C, Legaz A, Galiani A, Díaz Rivera MN, Martorell Caro M, Alifano F, Piña-Escudero SD, Cardona JF, Neely A, Forno G, Carpinella M, Slachevsky A, Serrano C, Sedeño L, Ibáñez A, García AM. Multimodal Neurocognitive Markers of Naturalistic Discourse Typify Diverse Neurodegenerative Diseases. Cereb Cortex 2022; 32:3377-3391. [PMID: 34875690 PMCID: PMC9376869 DOI: 10.1093/cercor/bhab421] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/05/2021] [Accepted: 10/28/2021] [Indexed: 02/07/2023] Open
Abstract
Neurodegeneration has multiscalar impacts, including behavioral, neuroanatomical, and neurofunctional disruptions. Can disease-differential alterations be captured across such dimensions using naturalistic stimuli? To address this question, we assessed comprehension of four naturalistic stories, highlighting action, nonaction, social, and nonsocial events, in Parkinson's disease (PD) and behavioral variant frontotemporal dementia (bvFTD) relative to Alzheimer's disease patients and healthy controls. Text-specific correlates were evaluated via voxel-based morphometry, spatial (fMRI), and temporal (hd-EEG) functional connectivity. PD patients presented action-text deficits related to the volume of action-observation regions, connectivity across motor-related and multimodal-semantic hubs, and frontal hd-EEG hypoconnectivity. BvFTD patients exhibited social-text deficits, associated with atrophy and spatial connectivity patterns along social-network hubs, alongside right frontotemporal hd-EEG hypoconnectivity. Alzheimer's disease patients showed impairments in all stories, widespread atrophy and spatial connectivity patterns, and heightened occipitotemporal hd-EEG connectivity. Our framework revealed disease-specific signatures across behavioral, neuroanatomical, and neurofunctional dimensions, highlighting the sensitivity and specificity of a single naturalistic task. This investigation opens a translational agenda combining ecological approaches and multimodal cognitive neuroscience for the study of neurodegeneration.
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Affiliation(s)
- Agustina Birba
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Sol Fittipaldi
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Judith C Cediel Escobar
- Facultad de Psicología, Universidad del Valle, Santiago de Cali 76001, Colombia
- Departamento de Estudios Psicológicos, Facultad de Derecho y Ciencias Sociales, Universidad Icesi, Cali 1234567, Colombia
| | - Cecilia Gonzalez Campo
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Agustina Legaz
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Agostina Galiani
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, CONICET, C1060AAF Buenos Aires, Argentina
| | - Mariano N Díaz Rivera
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Agency of Scientific and Technological Promotion, C1425FQD Buenos Aires, Argentina
| | - Miquel Martorell Caro
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Florencia Alifano
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | | | - Juan Felipe Cardona
- Facultad de Psicología, Universidad del Valle, Santiago de Cali 76001, Colombia
| | - Alejandra Neely
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000 Santiago, Chile
| | - Gonzalo Forno
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, 8380000 Santiago, Chile
- School of Psychology, Universidad de los Andes, 7620001 Santiago, Chile
- Alzheimer's and other cognitive disorders group, Institute of Neurosciences, University of Barcelona, 8007 Barcelona, Spain
| | - Mariela Carpinella
- Unidad de Neurociencias, Instituto Conci Carpinella, 5000 Córdoba, Argentina
- Facultad de Medicina, Universidad Católica de Cuyo Sede San Luis, 5700 San Luis, Argentina
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, 8380000 Santiago, Chile
- Gerosciences Center for Brain Health and Metabolism, 7800003 Santiago, Chile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador & University of Chile, 7500000 Santiago, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, 7690000 Santiago, Chile
| | - Cecilia Serrano
- Unidad de Neurología Cognitiva, Hospital César Milstein, C1221AC Buenos Aires, Argentina
| | - Lucas Sedeño
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
| | - Agustín Ibáñez
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000 Santiago, Chile
- Global Brain Health Institute, University of California, San Francisco, CA 94158, US; and Trinity College, Dublin D02 DP21, Ireland
| | - Adolfo M García
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQD Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, CA 94158, US; and Trinity College, Dublin D02 DP21, Ireland
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, 8431166 Santiago, Chile
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22
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Prado P, Birba A, Cruzat J, Santamaría-García H, Parra M, Moguilner S, Tagliazucchi E, Ibáñez A. Dementia ConnEEGtome: Towards multicentric harmonization of EEG connectivity in neurodegeneration. Int J Psychophysiol 2022; 172:24-38. [PMID: 34968581 PMCID: PMC9887537 DOI: 10.1016/j.ijpsycho.2021.12.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/26/2021] [Accepted: 12/19/2021] [Indexed: 02/02/2023]
Abstract
The proposal to use brain connectivity as a biomarker for dementia phenotyping can be potentiated by conducting large-scale multicentric studies using high-density electroencephalography (hd- EEG). Nevertheless, several barriers preclude the development of a systematic "ConnEEGtome" in dementia research. Here we review critical sources of variability in EEG connectivity studies, and provide general guidelines for multicentric protocol harmonization. We describe how results can be impacted by the choice for data acquisition, and signal processing workflows. The implementation of a particular processing pipeline is conditional upon assumptions made by researchers about the nature of EEG. Due to these assumptions, EEG connectivity metrics are typically applicable to restricted scenarios, e.g., to a particular neurocognitive disorder. "Ground truths" for the choice of processing workflow and connectivity analysis are impractical. Consequently, efforts should be directed to harmonizing experimental procedures, data acquisition, and the first steps of the preprocessing pipeline. Conducting multiple analyses of the same data and a proper integration of the results need to be considered in additional processing steps. Furthermore, instead of using a single connectivity measure, using a composite metric combining different connectivity measures brings a powerful strategy to scale up the replicability of multicentric EEG connectivity studies. These composite metrics can boost the predictive strength of diagnostic tools for dementia. Moreover, the implementation of multi-feature machine learning classification systems that include EEG-based connectivity analyses may help to exploit the potential of multicentric studies combining clinical-cognitive, molecular, genetics, and neuroimaging data towards a multi-dimensional characterization of the dementia.
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Affiliation(s)
- Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile,Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina,National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Josefina Cruzat
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile
| | - Hernando Santamaría-García
- Pontificia Universidad Javeriana, Medical School, Physiology and Psychiatry Departments, Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Mario Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile,Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina,Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), California, USA,Trinity College Dublin (TCD), Dublin, Ireland
| | - Enzo Tagliazucchi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile,Departamento de Física, Universidad de Buenos Aires and Instituto de Fisica de Buenos Aires (IFIBA -CONICET), Buenos Aires, Argentina
| | - Agustín Ibáñez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile,Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina,National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), California, USA,Trinity College Dublin (TCD), Dublin, Ireland,Corresponding author at: Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago de Chile, Chile., (A. Ibáñez)
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