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Díaz Rivera MN, Amoruso L, Bocanegra Y, Suárez JX, Moreno L, Muñoz E, Birba A, García AM. Electrophysiological alterations during action semantic processing in Parkinson's disease. Neurobiol Aging 2024; 136:78-87. [PMID: 38330642 PMCID: PMC10942755 DOI: 10.1016/j.neurobiolaging.2024.01.001] [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: 06/12/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 02/10/2024]
Abstract
Assessments of action semantics consistently reveal markers of Parkinson's disease (PD). However, neurophysiological signatures of the domain remain under-examined in this population, especially under conditions that allow patients to process stimuli without stringent time constraints. Here we assessed event-related potentials and time-frequency modulations in healthy individuals (HPs) and PD patients during a delayed-response semantic judgment task involving related and unrelated action-picture pairs. Both groups had shorter response times for related than for unrelated trials, but they exhibited discrepant electrophysiological patterns. HPs presented significantly greater N400 amplitudes as well as theta enhancement and mu desynchronization for unrelated relative to related trials. Conversely, N400 and theta modulations were abolished in the patients, who further exhibited a contralateralized cluster in the mu range. None of these patterns were associated with the participants' cognitive status. Our results suggest that PD involves multidimensional neurophysiological disruptions during action-concept processing, even under task conditions that elicit canonical behavioral effects. New constraints thus emerge for translational neurocognitive models of the disease.
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Affiliation(s)
- Mariano N Díaz Rivera
- Centro de Neurociencias Cognitivas, Universidad de San Andrés (UdeSA), Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Lucía Amoruso
- Centro de Neurociencias Cognitivas, Universidad de San Andrés (UdeSA), Buenos Aires, Argentina; Basque Center on Cognition, Brain and Language (BCBL), Spain; Ikerbasque, Basque Foundation for Science, Spain
| | - Yamile Bocanegra
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia; Grupo Neuropsicología y Conducta (GRUNECO), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Jazmin X Suárez
- Grupo Neuropsicología y Conducta (GRUNECO), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Leonardo Moreno
- Sección de Neurología, Hospital Pablo Tobón Uribe, Medellín, Colombia
| | - Edinson Muñoz
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Agustina Birba
- Centro de Neurociencias Cognitivas, Universidad de San Andrés (UdeSA), Buenos Aires, Argentina; Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, La Laguna, Santa Cruz de Tenerife, Spain
| | - Adolfo M García
- Centro de Neurociencias Cognitivas, Universidad de San Andrés (UdeSA), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile; Global Brain Health Institute, University of California, San Francisco, United States.
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2
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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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De Benedictis A, de Palma L, Rossi-Espagnet MC, Marras CE. Connectome-based approaches in pediatric epilepsy surgery: "State-of-the art" and future perspectives. Epilepsy Behav 2023; 149:109523. [PMID: 37944286 DOI: 10.1016/j.yebeh.2023.109523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 10/29/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023]
Abstract
Modern epilepsy science has overcome the traditional interpretation of a strict region-specific origin of epilepsy, highlighting the involvement of wider patterns of altered neuronal circuits. In selected cases, surgery may constitute a valuable option to achieve both seizure freedom and neurocognitive improvement. Although epilepsy is now considered as a brain network disease, the most relevant literature concerning the "connectome-based" epilepsy surgery mainly refers to adults, with a limited number of studies dedicated to the pediatric population. In this review, the Authors summarized the main current available knowledge on the relevance of WM surgical anatomy in epilepsy surgery, the post-surgical modifications of brain structural connectivity and the related clinical impact of such modifications within the pediatric context. In the last part, possible implications and future perspectives of this approach have been discussed, especially concerning the optimization of surgical strategies and the predictive value of the epilepsy network analysis for planning tailored approaches, with the final aim of improving case selection, presurgical planning, intraoperative management, and postoperative results.
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Affiliation(s)
| | - Luca de Palma
- Epilepsy and Movement Disorders Neurology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
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De Benedictis A, Rossi-Espagnet MC, de Palma L, Sarubbo S, Marras CE. Structural networking of the developing brain: from maturation to neurosurgical implications. Front Neuroanat 2023; 17:1242757. [PMID: 38099209 PMCID: PMC10719860 DOI: 10.3389/fnana.2023.1242757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
Modern neuroscience agrees that neurological processing emerges from the multimodal interaction among multiple cortical and subcortical neuronal hubs, connected at short and long distance by white matter, to form a largely integrated and dynamic network, called the brain "connectome." The final architecture of these circuits results from a complex, continuous, and highly protracted development process of several axonal pathways that constitute the anatomical substrate of neuronal interactions. Awareness of the network organization of the central nervous system is crucial not only to understand the basis of children's neurological development, but also it may be of special interest to improve the quality of neurosurgical treatments of many pediatric diseases. Although there are a flourishing number of neuroimaging studies of the connectome, a comprehensive vision linking this research to neurosurgical practice is still lacking in the current pediatric literature. The goal of this review is to contribute to bridging this gap. In the first part, we summarize the main current knowledge concerning brain network maturation and its involvement in different aspects of normal neurocognitive development as well as in the pathophysiology of specific diseases. The final section is devoted to identifying possible implications of this knowledge in the neurosurgical field, especially in epilepsy and tumor surgery, and to discuss promising perspectives for future investigations.
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Affiliation(s)
| | | | - Luca de Palma
- Clinical and Experimental Neurology, Bambino Gesù Children’s Hospital, Rome, Italy
| | - Silvio Sarubbo
- Department of Neurosurgery, Santa Chiara Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
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Zhao J, Jing B, Liu J, Chen F, Wu Y, Li H. Probing bundle-wise abnormalities in patients infected with human immunodeficiency virus using fixel-based analysis: new insights into neurocognitive impairments. Chin Med J (Engl) 2023; 136:2178-2186. [PMID: 37605986 PMCID: PMC10508508 DOI: 10.1097/cm9.0000000000002829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Changes in white matter (WM) underlie the neurocognitive damages induced by a human immunodeficiency virus (HIV) infection. This study aimed to examine using a bundle-associated fixel-based analysis (FBA) pipeline for investigating the microstructural and macrostructural alterations in the WM of the brain of HIV patients. METHODS This study collected 93 HIV infected patients and 45 age/education/handedness matched healthy controls (HCs) at the Beijing Youan Hospital between January 1, 2016 and December 30, 2016.All HIV patients underwent neurocognitive evaluation and laboratory testing followed by magnetic resonance imaging (MRI) scanning. In order to detect the bundle-wise WM abnormalities accurately, a specific WM bundle template with 56 tracts of interest was firstly generated by an automated fiber clustering method using a subset of subjects. Fixel-based analysis was used to investigate bundle-wise differences between HIV patients and HCs in three perspectives: fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC). The between-group differences were detected by a two-sample t -test with the false discovery rate (FDR) correction ( P <0.05). Furthermore, the covarying relationship in FD, FC and FDC between any pair of bundles was also accessed by the constructed covariance networks, which was subsequently compared between HIV and HCs via permutation t -tests. The correlations between abnormal WM metrics and the cognitive functions of HIV patients were explored via partial correlation analysis after controlling age and gender. RESULTS Among FD, FC and FDC, FD was the only metric that showed significant bundle-wise alterations in HIV patients compared to HCs. Increased FD values were observed in the bilateral fronto pontine tract, corona radiata frontal, left arcuate fasciculus, left corona radiata parietal, left superior longitudinal fasciculus III, and right superficial frontal parietal (SFP) (all FDR P <0.05). In bundle-wise covariance network, HIV patients displayed decreased FD and increased FC covarying patterns in comparison to HC ( P <0.05) , especially between associated pathways. Finally, the FCs of several tracts exhibited a significant correlation with language and attention-related functions. CONCLUSIONS Our study demonstrated the utility of FBA on detecting the WM alterations related to HIV infection. The bundle-wise FBA method provides a new perspective for investigating HIV-induced microstructural and macrostructural WM-related changes, which may help to understand cognitive dysfunction in HIV patients thoroughly.
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Affiliation(s)
- Jing Zhao
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100069, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Bin Jing
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application,School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
| | - Jiaojiao Liu
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Feng Chen
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Ye Wu
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
| | - Hongjun Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100069, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
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Cervetto S, Birba A, Pérez G, Amoruso L, García AM. Body into Narrative: Behavioral and Neurophysiological Signatures of Action Text Processing After Ecological Motor Training. Neuroscience 2022; 507:52-63. [PMID: 36368604 DOI: 10.1016/j.neuroscience.2022.10.024] [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: 08/31/2022] [Revised: 10/20/2022] [Accepted: 10/25/2022] [Indexed: 11/09/2022]
Abstract
Embodied cognition research indicates that sensorimotor training can influence action concept processing. Yet, most studies employ isolated (pseudo)randomized stimuli and require repetitive single-effector responses, thus lacking ecological validity. Moreover, the neural signatures of these effects remain poorly understood. Here, we examined whether immersive bodily training can modulate behavioral and functional connectivity correlates of action-verb processing in naturalistic narratives. The study involved three phases. First, in the Pre-training phase, 32 healthy persons listened to an action text (rich in movement descriptions) and a non-action text (focused on its characters' perceptual and mental processes), completed comprehension questionnaires, and underwent resting-state electroencephalogram (EEG) recordings. Second, in the four-day Training phase, half the participants completed an exergaming intervention (eliciting full-body movements for 60 min a day) while the remaining half played static videogames (requiring no bodily engagement other than button presses). Finally, in the Post-training phase, all participants repeated the Pre-training protocol with different action and non-action texts and a new EEG session. We found that exergaming selectively reduced action-verb outcomes and fronto-posterior functional connectivity in the motor-sensitive ∼ 10-20 Hz range, both patterns being positively correlated. Conversely, static videogame playing yielded no specific effect on any linguistic category and did not modulate functional connectivity. Together, these findings suggest that action-verb processing and key neural correlates can be focally influenced by full-body motor training in a highly ecological setting. Our study illuminates the role of situated experience and sensorimotor circuits in action-concept processing, addressing calls for naturalistic insights on language embodiment.
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Affiliation(s)
- Sabrina Cervetto
- Departamento de Educación Física y Salud, Instituto Superior de Educación Física, Universidad de la República, Uruguay; Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
| | - Agustina Birba
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
| | - Gonzalo Pérez
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Lucía Amoruso
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Adolfo M García
- 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, University of California San Francisco, CA, United States; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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Moguilner S, Birba A, Fittipaldi S, Gonzalez-Campo C, Tagliazucchi E, Reyes P, Matallana D, Parra MA, Slachevsky A, Farías G, Cruzat J, García A, Eyre HA, Joie RL, Rabinovici G, Whelan R, Ibáñez A. Multi-feature computational framework for combined signatures of dementia in underrepresented settings. J Neural Eng 2022; 19:10.1088/1741-2552/ac87d0. [PMID: 35940105 PMCID: PMC11177279 DOI: 10.1088/1741-2552/ac87d0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/08/2022] [Indexed: 11/11/2022]
Abstract
Objective.The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings.Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat).Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens).Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data.Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.
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Affiliation(s)
- Sebastian Moguilner
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Trinity College Dublin, Dublin, Ireland
| | - Agustina Birba
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Sol Fittipaldi
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | | | - 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, Buenos Aires, Argentina
| | - Pablo Reyes
- Medical School, Aging Institute, Psychiatry and Mental Health, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Diana Matallana
- Medical School, Aging Institute, Psychiatry and Mental Health, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Mario A Parra
- MAP: School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Andrea Slachevsky
- Gerosciences Center for Brain Health and Metabolism, Santiago, Chile
- Faculty of Medicine, University of Chile, Santiago, Chile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador and University of Chile, Santiago, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago de Chile, Chile
| | - Gonzalo Farías
- Faculty of Medicine, University of Chile, Santiago, Chile
| | - Josefina Cruzat
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Adolfo García
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
- Trinity College Dublin, Dublin, Ireland
| | - Harris A Eyre
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Neuroscience-Inspired Policy Initiative, Organisation for Economic Co-operation and Development and PRODEO Institute, Paris, France
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Victoria, Australia
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States of America
- Trinity College Dublin, Dublin, Ireland
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America
| | - Gil Rabinovici
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States of America
- Trinity College Dublin, Dublin, Ireland
| | - Robert Whelan
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Trinity College Dublin, Dublin, Ireland
| | - Agustín Ibáñez
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), CA, United States of America
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Trinity College Dublin, Dublin, Ireland
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8
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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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9
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Factor Analysis and Regression Prediction Model of Swimmers' Performance Structure Based on Mixed Genetic Neural Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:2052975. [PMID: 35685132 PMCID: PMC9173927 DOI: 10.1155/2022/2052975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/21/2022] [Accepted: 04/30/2022] [Indexed: 11/19/2022]
Abstract
With the development of economy, people put forward higher demands on material life and spiritual life, and sports have become an indispensable part of daily life. Ten km freestyle, although it has been started late, is loved by people all over the world, and it is getting more and more attention in the world of competitive sports. Through the theoretical research of 10 km freestyle, it can be seen that most of the research on this project is focused on the training, selection of materials, and how to improve the technique of crossing obstacles or pools, while the research on the performance of 10 km freestyle is limited to the analysis of the development trend of the performance and no research on the prediction of the actual performance, which to some extent restricts the scientific development of 10 km freestyle. The efficiency of a suitable learning is a factor that influences whether the training and learning of a BP neural network is stable or not. It can also directly determine the choice of weights. When the learning rate is chosen to be large, it increases the speed of learning and makes the stability of the network change. This has limited the scientific development of 10 km freestyle to a certain extent, and it is also a good entry point for the research of 10 km freestyle. BP neural network is one of the most widely used neural network models, which can be used for classification, clustering, prediction, and other related problems. In this study, we propose a comprehensive evaluation method of 10 km freestyle performance based on BP neural network and try to establish a neural network evaluation model by combining the athletes' physiological and biochemical indexes and sports performance. In this study, the normalized index values are used as the network input, and the athletes' performance in 10 km freestyle is used as the network output to predict the athletes' performance in 10 km freestyle. This study provides a theoretical basis for adjusting the condition of 10 km freestyle athletes and improving their performance. Optimize the reasonable allocation of resources between coaches and athletes, and increase the opportunities for coaches and athletes to communicate and learn from outside.
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10
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Miranda M, Campo CG, Birba A, Neely A, Hernandez FDT, Faure E, Costa GR, Ibáñez A, García A. An action-concept processing advantage in a patient with a double motor cortex. Brain Cogn 2022; 156:105831. [PMID: 34922210 PMCID: PMC9944406 DOI: 10.1016/j.bandc.2021.105831] [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: 10/04/2021] [Revised: 12/06/2021] [Accepted: 12/07/2021] [Indexed: 02/08/2023]
Abstract
Patients with atrophy in motor brain regions exhibit selective deficits in processing action-related meanings, suggesting a link between movement conceptualization and the amount of regional tissue. Here we examine such a relation in a unique opposite model: a rare patient with a double cortex (due to subcortical band heterotopia) in primary/supplementary motor regions, and no double cortex in multimodal semantic regions. We measured behavioral performance in action- and object-concept processing as well and resting-state functional connectivity. Both dimensions involved comparisons with healthy controls. Results revealed preserved accuracy in action and object categories for the patient. However, unlike controls, the patient exhibited faster performance for action than object concepts, a difference that was uninfluenced by general cognitive abilities. Moreover, this pattern was accompanied by heightened functional connectivity between the bilateral primary motor cortices. This suggests that a functionally active double motor cortex may entail action-processing advantages. Our findings offer new constraints for models of action semantics and motor-region function at large.
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Affiliation(s)
- Magdalena Miranda
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Instituto de Neurociencia Cognitiva y Traslacional (INCyT), Buenos Aires, Argentina
| | - Cecilia Gonzalez Campo
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Agustina Birba
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina,Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Alejandra Neely
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | | | - Evelyng Faure
- Department of Radiology, Clínica las Condes, Santiago, Chile,Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile
| | - Gonzalo Rojas Costa
- Department of Radiology, Clínica las Condes, Santiago, Chile,Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile,Health Innovation Center, Clínica las Condes, Santiago, Chile
| | - Agustín Ibáñez
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina,Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile,Global Brain Health Institute, University of California-San Francisco, San Francisco, California, and Trinity College Dublin, Dublin, Ireland
| | - Adolfo García
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina; Global Brain Health Institute, University of California-San Francisco, San Francisco, CA, United States; and Trinity College Dublin, Dublin, Ireland; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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11
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Cendes F, McDonald CR. Artificial Intelligence Applications in the Imaging of Epilepsy and Its Comorbidities: Present and Future. Epilepsy Curr 2022; 22:91-96. [PMID: 35444507 PMCID: PMC8988724 DOI: 10.1177/15357597211068600] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Artificial intelligence (AI) is increasingly used in medical image analysis and has accelerated scientific discoveries across fields of medicine. In this review, we highlight how AI has been applied to neuroimaging in patients with epilepsy to enhance classification of clinical diagnosis, prediction of treatment outcomes, and the understanding of cognitive comorbidities. We outline the strengths and shortcomings of current AI research and the need for future studies using large datasets that test the reproducibility and generalizability of current findings, as well as studies that test the clinical utility of AI approaches.
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Affiliation(s)
- Fernando Cendes
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Carrie R. McDonald
- Department of Psychiatry, Center for Multimodal Imaging and Genetics (CMIG), University of California, San Diego, CA, USA
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12
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Structural and functional motor-network disruptions predict selective action-concept deficits: Evidence from frontal lobe epilepsy. Cortex 2021; 144:43-55. [PMID: 34637999 DOI: 10.1016/j.cortex.2021.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 07/12/2021] [Accepted: 08/05/2021] [Indexed: 12/22/2022]
Abstract
Built on neurodegenerative lesions models, the disrupted motor grounding hypothesis (DMGH) posits that motor-system alterations selectively impair action comprehension. However, major doubts remain concerning the dissociability, neural signatures, and etiological generalizability of such deficits. Few studies have compared action-concept outcomes between disorders affecting and sparing motor circuitry, and none has examined their multimodal network predictors via data-driven approaches. Here, we first assessed action- and object-concept processing in patients with frontal lobe epilepsy (FLE), patients with posterior cortex epilepsy (PCE), and healthy controls. Then, we examined structural and functional network signatures via diffusion tensor imaging and resting-state connectivity measures. Finally, we used these measures to predict behavioral performance with an XGBoost machine learning regression algorithm. Relative to controls, FLE (but not PCE) patients exhibited selective action-concept deficits together with structural and functional abnormalities along motor networks. The XGBoost model reached a significantly large effect size only for action-concept outcomes in FLE, mainly predicted by structural (cortico-spinal tract, anterior thalamic radiation, uncinate fasciculus) and functional (M1-parietal/supramarginal connectivity) motor networks. These results extend the DMGH, suggesting that action-concept deficits are dissociable markers of frontal/motor (relative to posterior) disruptions, directly related to the structural and functional integrity of motor networks, and traceable beyond canonical movement disorders.
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