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García-Colomo A, Nebreda A, Carrasco-Gómez M, de Frutos-Lucas J, Ramirez-Toraño F, Spuch C, Comis-Tuche M, Bruña R, Alfonsín S, Maestú F. Longitudinal changes in the functional connectivity of individuals at risk of Alzheimer's disease. GeroScience 2024; 46:2989-3003. [PMID: 38172488 PMCID: PMC11009204 DOI: 10.1007/s11357-023-01036-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
First-degree relatives of Alzheimer's disease patients constitute a key population in the search for early markers. Our group identified functional connectivity differences between cognitively unimpaired individuals with and without a family history. In this unprecedented follow-up study, we examine whether family history is associated with a longitudinal increase in the functional connectivity of those regions. Moreover, this is the first work to correlate electrophysiological measures with plasma p-tau231 levels, a known pathology marker, to interpret the nature of the change. We evaluated 69 cognitively unimpaired individuals with a family history of Alzheimer's disease and 28 without, at two different time points, approximately 3 years apart, including resting state magnetoencephalography recordings and plasma p-tau231 determinations. Functional connectivity changes in both precunei and left anterior cingulate cortex in the high-alpha band were studied using non-parametric cluster-based permutation tests. Connectivity values were correlated with p-tau231 levels. Three clusters emerged in individuals with family history, exhibiting a longitudinal increase of connectivity. Notably, the clusters for both precunei bore a striking resemblance to those found in previous cross-sectional studies. The connectivity values at follow-up and the change in connectivity in the left precuneus cluster showed significant positive correlations with p-tau231. This study consolidates the use of electrophysiology, in combination with plasma biomarkers, to monitor healthy individuals at risk of Alzheimer's disease and emphasizes the value of combining noninvasive markers to understand the underlying mechanisms and track disease progression. This could facilitate the design of more effective intervention strategies and accurate progression assessment tools.
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Affiliation(s)
- Alejandra García-Colomo
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain.
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain.
| | - Alberto Nebreda
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain
| | - Martín Carrasco-Gómez
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain.
- Department of Electronic Engineering, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
| | - Jaisalmer de Frutos-Lucas
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain
| | - Federico Ramirez-Toraño
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain
| | - Carlos Spuch
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute (IIS-Galicia Sur), SERGAS-UVIGO, CIBERSAM, Vigo, Spain
| | - María Comis-Tuche
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute (IIS-Galicia Sur), SERGAS-UVIGO, CIBERSAM, Vigo, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Health Research Institute of the Hospital Clínico San Carlo.s (IdISSC), 28240, Madrid, Spain
- Department of Radiology, Universidad Complutense de Madrid, 28240, Madrid, Spain
| | - Soraya Alfonsín
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223, Madrid, Spain
- Health Research Institute of the Hospital Clínico San Carlo.s (IdISSC), 28240, Madrid, Spain
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Fernández A, Cuesta P, Marcos A, Montenegro-Peña M, Yus M, Rodríguez-Rojo IC, Bruña R, Maestú F, López ME. Sex differences in the progression to Alzheimer's disease: a combination of functional and structural markers. GeroScience 2024; 46:2619-2640. [PMID: 38105400 PMCID: PMC10828170 DOI: 10.1007/s11357-023-01020-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 11/14/2023] [Indexed: 12/19/2023] Open
Abstract
Mild cognitive impairment (MCI) has been frequently interpreted as a transitional phase between healthy cognitive aging and dementia, particularly of the Alzheimer's disease (AD) type. Of note, few studies explored that transition from a multifactorial perspective, taking into consideration the effect of basic factors such as biological sex. In the present study 96 subjects with MCI (37 males and 59 females) were followed-up and divided into two subgroups according to their clinical outcome: "progressive" MCI (pMCI = 41), if they fulfilled the diagnostic criteria for AD at the end of follow-up; and "stable" MCI (sMCI = 55), if they remained with the initial diagnosis. Different markers were combined to characterize sex differences between groups, including magnetoencephalography recordings, cognitive performance, and brain volumes derived from magnetic resonance imaging. Results indicated that the pMCI group exhibited higher low-frequency activity, lower scores in neuropsychological tests and reduced brain volumes than the sMCI group, being these measures significantly correlated. When sex was considered, results revealed that this pattern was mainly due to the influence of the females' sample. Overall, females exhibited lower cognitive scores and reduced brain volumes. More interestingly, females in the pMCI group showed an increased theta activity that correlated with a more abrupt reduction of cognitive and volumetric scores as compared with females in the sMCI group and with males in the pMCI group. These findings suggest that females' brains might be more vulnerable to the effects of AD pathology, since regardless of age, they showed signs of more pronounced deterioration than males.
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Affiliation(s)
- Alberto Fernández
- Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Madrid, Spain
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
| | - Pablo Cuesta
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Alberto Marcos
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Neurology Department, Hospital Clínico San Carlos, Madrid, Spain
| | - Mercedes Montenegro-Peña
- Centre for the Prevention of Cognitive Impairment, Madrid Salud, Madrid City Council, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Yus
- Radiology Department, Hospital Clínico San Carlos, Madrid, Spain
| | - Inmaculada Concepción Rodríguez-Rojo
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Nursing and Psysiotherapy, Universidad de Alcalá, Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - María Eugenia López
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain.
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain.
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.
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3
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Cabrera-Álvarez J, Stefanovski L, Martin L, Susi G, Maestú F, Ritter P. A Multiscale Closed-Loop Neurotoxicity Model of Alzheimer's Disease Progression Explains Functional Connectivity Alterations. eNeuro 2024; 11:ENEURO.0345-23.2023. [PMID: 38565295 PMCID: PMC11026343 DOI: 10.1523/eneuro.0345-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/05/2023] [Accepted: 12/22/2023] [Indexed: 04/04/2024] Open
Abstract
The accumulation of amyloid-β (Aβ) and hyperphosphorylated-tau (hp-tau) are two classical histopathological biomarkers in Alzheimer's disease (AD). However, their detailed interactions with the electrophysiological changes at the meso- and macroscale are not yet fully understood. We developed a mechanistic multiscale model of AD progression, linking proteinopathy to its effects on neural activity and vice-versa. We integrated a heterodimer model of prion-like protein propagation and a brain network model of Jansen-Rit neural masses derived from human neuroimaging data whose parameters varied due to neurotoxicity. Results showed that changes in inhibition guided the electrophysiological alterations found in AD, and these changes were mainly attributed to Aβ effects. Additionally, we found a causal disconnection between cellular hyperactivity and interregional hypersynchrony contrary to previous beliefs. Finally, we demonstrated that early Aβ and hp-tau depositions' location determine the spatiotemporal profile of the proteinopathy. The presented model combines the molecular effects of both Aβ and hp-tau together with a mechanistic protein propagation model and network effects within a closed-loop model. This holds the potential to enlighten the interplay between AD mechanisms on various scales, aiming to develop and test novel hypotheses on the contribution of different AD-related variables to the disease evolution.
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Affiliation(s)
- Jesús Cabrera-Álvarez
- Department of Experimental Psychology, Complutense University of Madrid, Pozuelo de Alarcón 28223, Spain
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid 28040, Spain
| | - Leon Stefanovski
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
- Department of Neurology with Experimental Neurology, Brain Simulation Section, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Leon Martin
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
- Department of Neurology with Experimental Neurology, Brain Simulation Section, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Gianluca Susi
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid 28040, Spain
- Department of Structure of Matter, Thermal Physics and Electronics, Complutense University of Madrid, Madrid 28040, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Complutense University of Madrid, Pozuelo de Alarcón 28223, Spain
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid 28040, Spain
| | - Petra Ritter
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
- Department of Neurology with Experimental Neurology, Brain Simulation Section, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
- Bernstein Center for Computational Neuroscience Berlin, Berlin 10115, Germany
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4
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Haraldsen IH, Hatlestad-Hall C, Marra C, Renvall H, Maestú F, Acosta-Hernández J, Alfonsin S, Andersson V, Anand A, Ayllón V, Babic A, Belhadi A, Birck C, Bruña R, Caraglia N, Carrarini C, Christensen E, Cicchetti A, Daugbjerg S, Di Bidino R, Diaz-Ponce A, Drews A, Giuffrè GM, Georges J, Gil-Gregorio P, Gove D, Govers TM, Hallock H, Hietanen M, Holmen L, Hotta J, Kaski S, Khadka R, Kinnunen AS, Koivisto AM, Kulashekhar S, Larsen D, Liljeström M, Lind PG, Marcos Dolado A, Marshall S, Merz S, Miraglia F, Montonen J, Mäntynen V, Øksengård AR, Olazarán J, Paajanen T, Peña JM, Peña L, Peniche DL, Perez AS, Radwan M, Ramírez-Toraño F, Rodríguez-Pedrero A, Saarinen T, Salas-Carrillo M, Salmelin R, Sousa S, Suyuthi A, Toft M, Toharia P, Tveitstøl T, Tveter M, Upreti R, Vermeulen RJ, Vecchio F, Yazidi A, Rossini PM. Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol. Front Neurorobot 2024; 17:1289406. [PMID: 38250599 PMCID: PMC10796757 DOI: 10.3389/fnbot.2023.1289406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024] Open
Abstract
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain stability or even revert to cognitive norms, alarmingly, up to half of the cases progress to dementia within 5 years. Current diagnostic practice lacks the necessary screening tools to identify those at risk of progression. The European patient experience often involves a long journey from the initial signs of MCI to the eventual diagnosis of dementia. The trajectory is far from ideal. Here, we introduce the AI-Mind project, a pioneering initiative with an innovative approach to early risk assessment through the implementation of advanced artificial intelligence (AI) on multimodal data. The cutting-edge AI-based tools developed in the project aim not only to accelerate the diagnostic process but also to deliver highly accurate predictions regarding an individual's risk of developing dementia when prevention and intervention may still be possible. AI-Mind is a European Research and Innovation Action (RIA H2020-SC1-BHC-06-2020, No. 964220) financed between 2021 and 2026. First, the AI-Mind Connector identifies dysfunctional brain networks based on high-density magneto- and electroencephalography (M/EEG) recordings. Second, the AI-Mind Predictor predicts dementia risk using data from the Connector, enriched with computerized cognitive tests, genetic and protein biomarkers, as well as sociodemographic and clinical variables. AI-Mind is integrated within a network of major European initiatives, including The Virtual Brain, The Virtual Epileptic Patient, and EBRAINS AISBL service for sensitive data, HealthDataCloud, where big patient data are generated for advancing digital and virtual twin technology development. AI-Mind's innovation lies not only in its early prediction of dementia risk, but it also enables a virtual laboratory scenario for hypothesis-driven personalized intervention research. This article introduces the background of the AI-Mind project and its clinical study protocol, setting the stage for future scientific contributions.
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Affiliation(s)
| | | | - Camillo Marra
- Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Hanna Renvall
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Fernando Maestú
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech and Language Therapy, Universidad Complutense de Madrid, Pozuelo de Alarcón, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
| | | | - Soraya Alfonsin
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech and Language Therapy, Universidad Complutense de Madrid, Pozuelo de Alarcón, Spain
| | | | - Abhilash Anand
- Performance and Assurance Solutions, Digital Solutions, DNV, Oslo, Norway
| | | | - Aleksandar Babic
- Healthcare Programme, Group Research and Development, DNV, Oslo, Norway
| | - Asma Belhadi
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | | | - Ricardo Bruña
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Radiology, Universidad Complutense de Madrid, Madrid, Spain
| | - Naike Caraglia
- Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Claudia Carrarini
- Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy
| | | | - Americo Cicchetti
- The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy
| | - Signe Daugbjerg
- The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy
| | - Rossella Di Bidino
- The Graduate School of Health Economics and Management (ALTEMS), Catholic University of the Sacred Heart, Rome, Italy
| | | | - Ainar Drews
- IT Department, University of Oslo, Oslo, Norway
| | - Guido Maria Giuffrè
- Memory Clinic, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | | | - Pedro Gil-Gregorio
- Department of Geriatric Medicine, Hospital Universitario Clínico San Carlos, Madrid, Spain
- Department of Geriatrics, Fundación para la Investigación Biomédica del Hospital Clínico San Carlos, Madrid, Spain
| | | | - Tim M. Govers
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands
| | - Harry Hallock
- Healthcare Programme, Group Research and Development, DNV, Oslo, Norway
| | - Marja Hietanen
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and Helsinki University, Helsinki, Finland
| | - Lone Holmen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Jaakko Hotta
- Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland
| | - Samuel Kaski
- Department of Computer Science, Helsinki Institute of Information Technology, Aalto University, Helsinki, Finland
- Department of Computer Science, University of Manchester, Manchester, United Kingdom
| | - Rabindra Khadka
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | - Antti S. Kinnunen
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Anne M. Koivisto
- Department of Neurology, Helsinki University Hospital and Clinical Neurosciences, Neurology, University of Helsinki, Helsinki, Finland
- Department of Neurosciences, University of Helsinki, Helsinki, Finland
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Shrikanth Kulashekhar
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Denis Larsen
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | - Mia Liljeström
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Pedro G. Lind
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | - Alberto Marcos Dolado
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Neurology Department, Hospital Universitario Clínico San Carlos, Madrid, Spain
| | - Serena Marshall
- Healthcare Programme, Group Research and Development, DNV, Oslo, Norway
| | - Susanne Merz
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
| | - Francesca Miraglia
- Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy
| | - Juha Montonen
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Ville Mäntynen
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | | | - Javier Olazarán
- Neurology Service, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Teemu Paajanen
- Finnish Institute of Occupational Health, Helsinki, Finland
| | | | | | | | - Ana S. Perez
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Mohamed Radwan
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | - Federico Ramírez-Toraño
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech and Language Therapy, Universidad Complutense de Madrid, Pozuelo de Alarcón, Spain
| | - Andrea Rodríguez-Pedrero
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Psychology and Speech and Language Therapy, Universidad Complutense de Madrid, Pozuelo de Alarcón, Spain
| | - Timo Saarinen
- BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki University and Aalto University School of Science, Helsinki, Finland
| | - Mario Salas-Carrillo
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Memory Unit, Department of Geriatrics, Hospital Clínico San Carlos, Madrid, Spain
| | - Riitta Salmelin
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
| | - Sonia Sousa
- School of Digital Technologies, Tallinn University, Tallinn, Estonia
| | - Abdillah Suyuthi
- Performance and Assurance Solutions, Digital Solutions, DNV, Oslo, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pablo Toharia
- Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Mats Tveter
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Ramesh Upreti
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Robin J. Vermeulen
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands
| | - Fabrizio Vecchio
- Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy
- Department of Theoretical and Applied Sciences, eCampus University, Como, Italy
| | - Anis Yazidi
- Department of Computer Science, OsloMet—Oslo Metropolitan University, Oslo, Norway
- NordSTAR—Nordic Center for Sustainable and Trustworthy AI Research, Oslo, Norway
| | - Paolo Maria Rossini
- Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy
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Chino B, Torres-Simón L, Żelwetro A, Rodríguez-Rojo IC, Carnes-Vendrell A, Piñol-Ripoll G, Yubero R, Paúl N, Maestú F. Understanding the Episodic Memory and Executive Functioning Axis Impairment in MCI Patients: A Multicenter Study in Comparison with CSF Biomarkers. Biomedicines 2023; 11:3147. [PMID: 38137368 PMCID: PMC10741228 DOI: 10.3390/biomedicines11123147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/06/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND This study aimed to explore the association between a verbal learning task that evaluates the potential mutual dependency between memory and executive functions (i.e., the Test of Memory Strategies, TMS) and cerebrospinal fluid (CSF) Alzheimer's Disease (AD) biomarkers. METHODS A sample of 47 mild cognitive impairment (MCI) participants from Poland and Spain were classified according to the Erlangen Score Diagnostic Algorithm (ESA) into CSF- (n = 16) and CSF+ (n = 31) groups. Correlation analyses between TMS word-list conditions and CSF biomarkers were conducted. Additionally, an analysis of covariance was performed to define the effect on ESA classification in the sample, using as a covariable the country of origin of the participants. RESULTS Significant associations between the TMS-3 condition and Aβ42, t-tau, and p-tau were observed for the whole sample. In addition, the CSF- participants obtained higher cognitive performance in TMS-3 compared to the CSF+ group. This outcome persisted if the groups were based on Aβ42 scores, but not t-tau or p-tau values. CONCLUSIONS These findings could indicate that poor performance on verbal learning tests may be affected by executive dysfunctions. Therefore, future intervention plans focused on training executive functions would be of interest to improve the ability of MCI patients to encode and organize information.
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Affiliation(s)
- Brenda Chino
- Institute of Neuroscience, Autonomous University of Barcelona (UAB), 08193 Barcelona, Spain;
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, 28040 Madrid, Spain; (L.T.-S.); (F.M.)
| | - Lucía Torres-Simón
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, 28040 Madrid, Spain; (L.T.-S.); (F.M.)
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Agnieszka Żelwetro
- Interdisciplinary Doctoral School, SWPS University of Social Sciences and Humanities, 53-238 Wrocław, Poland;
- Alzheimer’s Disease Research, Center in Ścinawa, 59-330 Ścinawa, Poland
| | - Inmaculada Concepción Rodríguez-Rojo
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, 28040 Madrid, Spain; (L.T.-S.); (F.M.)
- Department of Nursing and Physiotherapy, Faculty of Medicine and Health Sciences, Universidad de Alcalá, 28801 Madrid, Spain
| | - Anna Carnes-Vendrell
- Unitat de Trastorns Cognitius, Cognition and Behavior Study Group, Universitat de Lleida, IRBLleida, 25198 Lleida, Spain; (A.C.-V.); (G.P.-R.)
| | - Gerard Piñol-Ripoll
- Unitat de Trastorns Cognitius, Cognition and Behavior Study Group, Universitat de Lleida, IRBLleida, 25198 Lleida, Spain; (A.C.-V.); (G.P.-R.)
| | - Raquel Yubero
- Neurology Department, Hospital Quirónsalud Madrid, 28223 Madrid, Spain;
| | - Nuria Paúl
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, 28040 Madrid, Spain; (L.T.-S.); (F.M.)
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, 28040 Madrid, Spain;
- Instituto de Investigación del Hospital Clínico San Carlos, 28040 Madrid, Spain
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6
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Cabrera-Álvarez J, Sánchez-Claros J, Carrasco-Gómez M, del Cerro-León A, Gómez-Ariza CJ, Maestú F, Mirasso CR, Susi G. Corrigendum: Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models. Front Neurosci 2023; 17:1329826. [PMID: 38046655 PMCID: PMC10691734 DOI: 10.3389/fnins.2023.1329826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023] Open
Abstract
[This corrects the article DOI: 10.3389/fnins.2023.1223950.].
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Affiliation(s)
- Jesús Cabrera-Álvarez
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Jaime Sánchez-Claros
- Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC, UIB-CSIC), Campus UIB, Palma de Mallorca, Spain
| | - Martín Carrasco-Gómez
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Alberto del Cerro-León
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | | | - Fernando Maestú
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Claudio R. Mirasso
- Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC, UIB-CSIC), Campus UIB, Palma de Mallorca, Spain
| | - Gianluca Susi
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Structure of Matter, Thermal Physics and Electronics, School of Physics, Complutense University of Madrid, Madrid, Spain
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7
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Baker C, Suárez-Méndez I, Smith G, Marsh EB, Funke M, Mosher JC, Maestú F, Xu M, Pantazis D. Hyperbolic graph embedding of MEG brain networks to study brain alterations in individuals with subjective cognitive decline. bioRxiv 2023:2023.10.23.563643. [PMID: 37961615 PMCID: PMC10634754 DOI: 10.1101/2023.10.23.563643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
An expansive area of research focuses on discerning patterns of alterations in functional brain networks from the early stages of Alzheimer's disease, even at the subjective cognitive decline (SCD) stage. Here, we developed a novel hyperbolic MEG brain network embedding framework for transforming high-dimensional complex MEG brain networks into lower-dimensional hyperbolic representations. Using this model, we computed hyperbolic embeddings of the MEG brain networks of two distinct participant groups: individuals with SCD and healthy controls. We demonstrated that these embeddings preserve both local and global geometric information, presenting reduced distortion compared to rival models, even when brain networks are mapped into low-dimensional spaces. In addition, our findings showed that the hyperbolic embeddings encompass unique SCD-related information that improves the discriminatory power above and beyond that of connectivity features alone. Notably, we introduced a unique metric-the radius of the node embeddings-which effectively proxies the hierarchical organization of the brain. Using this metric, we identified subtle hierarchy organizational differences between the two participant groups, suggesting increased hierarchy in the dorsal attention, frontoparietal, and ventral attention subnetworks among the SCD group. Last, we assessed the correlation between these hierarchical variations and cognitive assessment scores, revealing associations with diminished performance across multiple cognitive evaluations in the SCD group. Overall, this study presents the first evaluation of hyperbolic embeddings of MEG brain networks, offering novel insights into brain organization, cognitive decline, and potential diagnostic avenues of Alzheimer's disease.
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Affiliation(s)
- Cole Baker
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Isabel Suárez-Méndez
- Department of Experimental Psychology, Complutense University of Madrid, Madrid 28040, Spain
| | | | - Elisabeth B Marsh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Michael Funke
- Department of Neurology, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - John C Mosher
- Department of Neurology, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - Fernando Maestú
- Department of Experimental Psychology, Complutense University of Madrid, Madrid 28040, Spain
| | - Mengjia Xu
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Data Science, Ying Wu College of Computing, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Dimitrios Pantazis
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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8
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Antón Toro LF, Salto F, Requena C, Maestú F. Electrophysiological connectivity of logical deduction: Early cortical MEG study. Cortex 2023; 166:365-376. [PMID: 37499565 DOI: 10.1016/j.cortex.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 04/14/2023] [Accepted: 06/15/2023] [Indexed: 07/29/2023]
Abstract
Complex human reasoning involves minimal abilities to extract conclusions implied in the available information. These abilities are considered "deductive" because they exemplify certain abstract relations among propositions or probabilities called deductive arguments. However, the electrophysiological dynamics which supports such complex cognitive processes has not been addressed yet. In this work we consider typically deductive logico-probabilistically valid inferences and aim to verify or refute their electrophysiological functional connectivity differences from invalid inferences with the same content (same relational variables, same stimuli, same relevant and salient features). We recorded the brain electrophysiological activity of 20 participants (age = 20.35 ± 3.23) by means of an MEG system during two consecutive reasoning tasks: a search task (invalid condition) without any specific deductive rules to follow, and a logically valid deductive task (valid condition) with explicit deductive rules as instructions. We calculated the functional connectivity (FC) for each condition and conducted a seed-based analysis in a set of cortical regions of interest. Finally, we used a cluster-based permutation test to compare the differences between logically valid and invalid conditions in terms of FC. As a first novel result we found higher FC for valid condition in beta band between regions of interest and left prefrontal, temporal, parietal, and cingulate structures. FC analysis allows a second novel result which is the definition of a propositional network with operculo-cingular, parietal and medial nodes, specifically including disputed medial deductive "core" areas. The experiment discloses measurable cortical processes which do not depend on content but on truth-functional propositional operators. These experimental novelties may contribute to understand the cortical bases of deductive processes.
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Affiliation(s)
- Luis F Antón Toro
- Research Group on Aging, Neuroscience and Applied Logic, Department of Psychology, Sociology and Philosophy, University of León, Campus Vegazana S/n 24171, León, Spain; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid, Campus Somosaguas, 28223 Pozuelo, Madrid, Spain; Department of Psychology, Health Faculty, Camilo José Cela University (UCJC), C. Castillo de Alarcón, 49, 28692 Villafranca Del Castillo, Madrid, Spain.
| | - Francisco Salto
- Research Group on Aging, Neuroscience and Applied Logic, Department of Psychology, Sociology and Philosophy, University of León, Campus Vegazana S/n 24171, León, Spain.
| | - Carmen Requena
- Research Group on Aging, Neuroscience and Applied Logic, Department of Psychology, Sociology and Philosophy, University of León, Campus Vegazana S/n 24171, León, Spain.
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid, Campus Somosaguas, 28223 Pozuelo, Madrid, Spain; Department of Experimental Psychology, Complutense University of Madrid (UCM), Campus Somosaguas, 28223 Pozuelo, Madrid, Spain.
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9
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Cabrera-Álvarez J, Sánchez-Claros J, Carrasco-Gómez M, del Cerro-León A, Gómez-Ariza CJ, Maestú F, Mirasso CR, Susi G. Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models. Front Neurosci 2023; 17:1223950. [PMID: 37655010 PMCID: PMC10467425 DOI: 10.3389/fnins.2023.1223950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/25/2023] [Indexed: 09/02/2023] Open
Abstract
The alpha rhythm is often associated with relaxed wakefulness or idling and is altered by various factors. Abnormalities in the alpha rhythm have been linked to several neurological and psychiatric disorders, including Alzheimer's disease. Transcranial alternating current stimulation (tACS) has been proposed as a potential tool to restore a disrupted alpha rhythm in the brain by stimulating at the individual alpha frequency (IAF), although some research has produced contradictory results. In this study, we applied an IAF-tACS protocol over parieto-occipital areas to a sample of healthy subjects and measured its effects over the power spectra. Additionally, we used computational models to get a deeper understanding of the results observed in the experiment. Both experimental and numerical results showed an increase in alpha power of 8.02% with respect to the sham condition in a widespread set of regions in the cortex, excluding some expected parietal regions. This result could be partially explained by taking into account the orientation of the electric field with respect to the columnar structures of the cortex, showing that the gyrification in parietal regions could generate effects in opposite directions (hyper-/depolarization) at the same time in specific brain regions. Additionally, we used a network model of spiking neuronal populations to explore the effects that these opposite polarities could have on neural activity, and we found that the best predictor of alpha power was the average of the normal components of the electric field. To sum up, our study sheds light on the mechanisms underlying tACS brain activity modulation, using both empirical and computational approaches. Non-invasive brain stimulation techniques hold promise for treating brain disorders, but further research is needed to fully understand and control their effects on brain dynamics and cognition. Our findings contribute to this growing body of research and provide a foundation for future studies aimed at optimizing the use of non-invasive brain stimulation in clinical settings.
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Affiliation(s)
- Jesús Cabrera-Álvarez
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Jaime Sánchez-Claros
- Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC, UIB-CSIC), Campus UIB, Palma de Mallorca, Spain
| | - Martín Carrasco-Gómez
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Alberto del Cerro-León
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | | | - Fernando Maestú
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Claudio R. Mirasso
- Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC, UIB-CSIC), Campus UIB, Palma de Mallorca, Spain
| | - Gianluca Susi
- Centre for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Structure of Matter, Thermal Physics and Electronics, School of Physics, Complutense University of Madrid, Madrid, Spain
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10
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Cabrera-Álvarez J, Doorn N, Maestú F, Susi G. Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure. PLoS Comput Biol 2023; 19:e1011007. [PMID: 37535694 PMCID: PMC10426958 DOI: 10.1371/journal.pcbi.1011007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 08/15/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023] Open
Abstract
The thalamus is a central brain structure that serves as a relay station for sensory inputs from the periphery to the cortex and regulates cortical arousal. Traditionally, it has been regarded as a passive relay that transmits information between brain regions. However, recent studies have suggested that the thalamus may also play a role in shaping functional connectivity (FC) in a task-based context. Based on this idea, we hypothesized that due to its centrality in the network and its involvement in cortical activation, the thalamus may also contribute to resting-state FC, a key neurological biomarker widely used to characterize brain function in health and disease. To investigate this hypothesis, we constructed ten in-silico brain network models based on neuroimaging data (MEG, MRI, and dwMRI), and simulated them including and excluding the thalamus, and raising the noise into thalamus to represent the afferences related to the reticular activating system (RAS) and the relay of peripheral sensory inputs. We simulated brain activity and compared the resulting FC to their empirical MEG counterparts to evaluate model's performance. Results showed that a parceled version of the thalamus with higher noise, able to drive damped cortical oscillators, enhanced the match to empirical FC. However, with an already active self-oscillatory cortex, no impact on the dynamics was observed when introducing the thalamus. We also demonstrated that the enhanced performance was not related to the structural connectivity of the thalamus, but to its higher noisy inputs. Additionally, we highlighted the relevance of a balanced signal-to-noise ratio in thalamus to allow it to propagate its own dynamics. In conclusion, our study sheds light on the role of the thalamus in shaping brain dynamics and FC in resting-state and allowed us to discuss the general role of criticality in the brain at the mesoscale level.
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Affiliation(s)
- Jesús Cabrera-Álvarez
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
- Centre for Cognitive and Computational Neuroscience, Madrid, Spain
| | - Nina Doorn
- Department of Clinical Neurophysiology, University of Twente, Enschede, The Netherlands
| | - Fernando Maestú
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
- Centre for Cognitive and Computational Neuroscience, Madrid, Spain
| | - Gianluca Susi
- Centre for Cognitive and Computational Neuroscience, Madrid, Spain
- Department of Structure of Matter, Thermal Physics and Electronics, Complutense University of Madrid, Madrid, Spain
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11
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López-Cuenca I, Sánchez-Puebla L, Salobrar-García E, Álvarez-Gutierrez M, Elvira-Hurtado L, Barabash A, Ramírez-Toraño F, Fernández-Albarral JA, Matamoros JA, Nebreda A, García-Colomo A, Ramírez AI, Salazar JJ, Gil P, Maestú F, Ramírez JM, de Hoz R. Exploratory Longitudinal Study of Ocular Structural and Visual Functional Changes in Subjects at High Genetic Risk of Developing Alzheimer's Disease. Biomedicines 2023; 11:2024. [PMID: 37509663 PMCID: PMC10377092 DOI: 10.3390/biomedicines11072024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
This study aimed to analyze the evolution of visual changes in cognitively healthy individuals at risk for Alzheimer's disease (AD). Participants with a first-degree family history of AD (FH+) and carrying the Ε4+ allele for the ApoE gene (ApoE ε4+) underwent retinal thickness analysis using optical coherence tomography (OCT) and visual function assessments, including visual acuity (VA), contrast sensitivity (CS), color perception, perception digital tests, and visual field analysis. Structural analysis divided participants into FH+ ApoE ε4+ and FH- ApoE ε4- groups, while functional analysis further categorized them by age (40-60 years and over 60 years). Over the 27-month follow-up, the FH+ ApoE ε4+ group exhibited thickness changes in all inner retinal layers. Comparing this group to the FH- ApoE ε4- group at 27 months revealed progressing changes in the inner nuclear layer. In the FH+ ApoE ε4+ 40-60 years group, no progression of visual function changes was observed, but an increase in VA and CS was maintained at 3 and 12 cycles per degree, respectively, compared to the group without AD risk at 27 months. In conclusion, cognitively healthy individuals at risk for AD demonstrated progressive retinal structural changes over the 27-month follow-up, while functional changes remained stable.
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Affiliation(s)
- Inés López-Cuenca
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - Lidia Sánchez-Puebla
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
| | - Elena Salobrar-García
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - María Álvarez-Gutierrez
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
| | - Lorena Elvira-Hurtado
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
| | - Ana Barabash
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
- Centre for Biomedical Research Network on Diabetes and Associated Metabolic Diseases (CIBERMED), 28029 Madrid, Spain
- Department of Medicine II, School of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
| | - Federico Ramírez-Toraño
- Center for Cognitive and Computational Neuroscience Laboratory of Cognitive and Computational Neurscience, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain; (F.R.-T.); (A.N.); (A.G.-C.)
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain
| | - José A. Fernández-Albarral
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
| | - José A. Matamoros
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
| | - Alberto Nebreda
- Center for Cognitive and Computational Neuroscience Laboratory of Cognitive and Computational Neurscience, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain; (F.R.-T.); (A.N.); (A.G.-C.)
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain
| | - Alejandra García-Colomo
- Center for Cognitive and Computational Neuroscience Laboratory of Cognitive and Computational Neurscience, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain; (F.R.-T.); (A.N.); (A.G.-C.)
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain
| | - Ana I. Ramírez
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - Juan J. Salazar
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
| | - Pedro Gil
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Memory Unit, Geriatrics Service, Hospital Clínico San Carlos, 28040 Madrid, Spain
- Department of Medicine, School of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
| | - Fernando Maestú
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Center for Cognitive and Computational Neuroscience Laboratory of Cognitive and Computational Neurscience, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain; (F.R.-T.); (A.N.); (A.G.-C.)
- Department of Experimental Psychology, Cognitive Psychology and Speech & Language Therapy, Complutense University of Madrid, 28223 Pozuelo de Alarcón, Spain
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, 28029 Madrid, Spain
| | - José M. Ramírez
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
| | - Rosa de Hoz
- Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, 28040 Madrid, Spain; (I.L.-C.); (L.S.-P.); (E.S.-G.); (M.Á.-G.); (L.E.-H.); (J.A.F.-A.); (J.A.M.); (A.I.R.); (J.J.S.)
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (A.B.); (P.G.); (F.M.)
- Department of Immunology, Ophthalmology and ENT, Faculty of Optics and Optometry, Complutense University of Madrid, 28037 Madrid, Spain
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12
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Pusil S, Zegarra-Valdivia J, Cuesta P, Laohathai C, Cebolla AM, Haueisen J, Fiedler P, Funke M, Maestú F, Cheron G. Effects of spaceflight on the EEG alpha power and functional connectivity. Sci Rep 2023; 13:9489. [PMID: 37303002 DOI: 10.1038/s41598-023-34744-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 05/06/2023] [Indexed: 06/13/2023] Open
Abstract
Electroencephalography (EEG) can detect changes in cerebral activity during spaceflight. This study evaluates the effect of spaceflight on brain networks through analysis of the Default Mode Network (DMN)'s alpha frequency band power and functional connectivity (FC), and the persistence of these changes. Five astronauts' resting state EEGs under three conditions were analyzed (pre-flight, in-flight, and post-flight). DMN's alpha band power and FC were computed using eLORETA and phase-locking value. Eyes-opened (EO) and eyes-closed (EC) conditions were differentiated. We found a DMN alpha band power reduction during in-flight (EC: p < 0.001; EO: p < 0.05) and post-flight (EC: p < 0.001; EO: p < 0.01) when compared to pre-flight condition. FC strength decreased during in-flight (EC: p < 0.01; EO: p < 0.01) and post-flight (EC: ns; EO: p < 0.01) compared to pre-flight condition. The DMN alpha band power and FC strength reduction persisted until 20 days after landing. Spaceflight caused electrocerebral alterations that persisted after return to earth. Periodic assessment by EEG-derived DMN analysis has the potential to become a neurophysiologic marker of cerebral functional integrity during exploration missions to space.
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Affiliation(s)
- Sandra Pusil
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
| | - Jonathan Zegarra-Valdivia
- Achucarro Basque Center for Neuroscience, Leioa, Spain
- Global Brain Health Institute (GBHI), University of California, San Francisco (UCSF), San Francisco, CA, USA
- Universidad Señor de Sipán, Chiclayo, Peru
| | - Pablo Cuesta
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Ana Maria Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles, Brussels, Belgium
| | - Jens Haueisen
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany
| | - Patrique Fiedler
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany
| | - Michael Funke
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
- Instituto de Investigación Sanitario, Hospital Clínico San Carlos, Madrid, Spain
| | - Guy Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles, Brussels, Belgium.
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13
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Cuesta P, Bruña R, Shah E, Laohathai C, Garcia-Tarodo S, Funke M, Von Allmen G, Maestú F. An individual data-driven virtual resection model based on epileptic network dynamics in children with intractable epilepsy: a magnetoencephalography interictal activity application. Brain Commun 2023; 5:fcad168. [PMID: 37274829 PMCID: PMC10236945 DOI: 10.1093/braincomms/fcad168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 01/24/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023] Open
Abstract
Epilepsy surgery continues to be a recommended treatment for intractable (medication-resistant) epilepsy; however, 30-70% of epilepsy surgery patients can continue to have seizures. Surgical failures are often associated with incomplete resection or inaccurate localization of the epileptogenic zone. This retrospective study aims to improve surgical outcome through in silico testing of surgical hypotheses through a personalized computational neurosurgery model created from individualized patient's magnetoencephalography recording and MRI. The framework assesses the extent of the epileptic network and evaluates underlying spike dynamics, resulting in identification of one single brain volume as a candidate for resection. Dynamic-locked networks were utilized for virtual cortical resection. This in silico protocol was tested in a cohort of 24 paediatric patients with focal drug-resistant epilepsy who underwent epilepsy surgery. Of 24 patients who were included in the analysis, 79% (19 of 24) of the models agreed with the patient's clinical surgery outcome and 21% (5 of 24) were considered as model failures (accuracy 0.79, sensitivity 0.77, specificity 0.82). Patients with unsuccessful surgery outcome typically showed a model cluster outside of the resected cavity, while those with successful surgery showed the cluster model within the cavity. Two of the model failures showed the cluster in the vicinity of the resected tissue and either a functional disconnection or lack of precision of the magnetoencephalography-MRI overlapping could explain the results. Two other cases were seizure free for 1 year but developed late recurrence. This is the first study that provides in silico personalized protocol for epilepsy surgery planning using magnetoencephalography spike network analysis. This model could provide complementary information to the traditional pre-surgical assessment methods and increase the proportion of patients achieving seizure-free outcome from surgery.
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Affiliation(s)
- Pablo Cuesta
- Correspondence to: Pablo Cuesta Pza. Ramón y Cajal, s/n. Ciudad Universitaria 28040 Madrid, Spain E-mail:
| | - Ricardo Bruña
- Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, Madrid, 28040, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, 28040, Spain
| | - Ekta Shah
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | | | - Stephanie Garcia-Tarodo
- Département de la femme, de l'enfant et de l'adolescent, Hôpital des Enfants - Hôpitaux Universitaires de Genève, Geneva, 1211 Genève 14, Switzerland
| | - Michael Funke
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Gretchen Von Allmen
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, 28040, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, 28040, Spain
- Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, 28040, Spain
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14
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Hatlestad-Hall C, Bruña R, Liljeström M, Renvall H, Heuser K, Taubøll E, Maestú F, Haraldsen IH. Reliable evaluation of functional connectivity and graph theory measures in source-level EEG: How many electrodes are enough? Clin Neurophysiol 2023; 150:1-16. [PMID: 36972647 DOI: 10.1016/j.clinph.2023.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/03/2023] [Accepted: 03/01/2023] [Indexed: 03/18/2023]
Abstract
OBJECTIVE Using EEG to characterise functional brain networks through graph theory has gained significant interest in clinical and basic research. However, the minimal requirements for reliable measures remain largely unaddressed. Here, we examined functional connectivity estimates and graph theory metrics obtained from EEG with varying electrode densities. METHODS EEG was recorded with 128 electrodes in 33 participants. The high-density EEG data were subsequently subsampled into three sparser montages (64, 32, and 19 electrodes). Four inverse solutions, four measures of functional connectivity, and five graph theory metrics were tested. RESULTS The correlation between the results obtained with 128-electrode and the subsampled montages decreased as a function of the number of electrodes. As a result of decreased electrode density, the network metrics became skewed: mean network strength and clustering coefficient were overestimated, while characteristic path length was underestimated. CONCLUSIONS Several graph theory metrics were altered when electrode density was reduced. Our results suggest that, for optimal balance between resource demand and result precision, a minimum of 64 electrodes should be utilised when graph theory metrics are used to characterise functional brain networks in source-reconstructed EEG data. SIGNIFICANCE Characterisation of functional brain networks derived from low-density EEG warrants careful consideration.
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Affiliation(s)
| | - Ricardo Bruña
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain; Department of Radiology, Universidad Complutense de Madrid, Madrid, Spain
| | - Mia Liljeström
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland; BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki, Finland
| | - Hanna Renvall
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland; BioMag Laboratory, HUS Medical Imaging Centre, Helsinki University Hospital, Helsinki, Finland
| | - Kjell Heuser
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Erik Taubøll
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Fernando Maestú
- Centre for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain; Department of Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Spain
| | - Ira H Haraldsen
- Department of Neurology, Oslo University Hospital, Oslo, Norway; BrainSymph AS, Oslo, Norway
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15
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Fiedler P, Haueisen J, Alvarez AMC, Cheron G, Cuesta P, Maestú F, Funke M. Noise characteristics in spaceflight multichannel EEG. PLoS One 2023; 18:e0280822. [PMID: 36800392 PMCID: PMC9937484 DOI: 10.1371/journal.pone.0280822] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023] Open
Abstract
The cognitive performance of the crew has a major impact on mission safety and success in space flight. Monitoring of cognitive performance during long-duration space flight therefore is of paramount importance and can be performed using compact state-of-the-art mobile EEG. However, signal quality of EEG may be compromised due to the vicinity to various electronic devices and constant movements. We compare noise characteristics between in-flight extraterrestrial microgravity and ground-level terrestrial electroencephalography (EEG) recordings. EEG data recordings from either aboard International Space Station (ISS) or on earth's surface, utilizing three EEG amplifiers and two electrode types, were compared. In-flight recordings showed noise level of an order of magnitude lower when compared to pre- and post-flight ground-level recordings with the same EEG system. Noise levels between ground-level recordings with actively shielded cables, and in-flight recordings without shielded cables, were similar. Furthermore, noise level characteristics of shielded ground-level EEG recordings, using wet and dry electrodes, and in-flight EEG recordings were similar. Actively shielded mobile dry EEG systems will support neuroscientific research and neurocognitive monitoring during spaceflight, especially during long-duration space missions.
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Affiliation(s)
- Patrique Fiedler
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany,* E-mail:
| | - Jens Haueisen
- Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany
| | | | - Guy Cheron
- Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Michael Funke
- McGovern Medical School, University of Texas, Houston, Texas, United States of America
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16
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Antón-Toro LF, Shpakivska-Bilan D, Del Cerro-León A, Bruña R, Uceta M, García-Moreno LM, Maestú F. Longitudinal change of inhibitory control functional connectivity associated with the development of heavy alcohol drinking. Front Psychol 2023; 14:1069990. [PMID: 36818101 PMCID: PMC9935580 DOI: 10.3389/fpsyg.2023.1069990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Heavy drinking (HD) prevalent pattern of alcohol consumption among adolescents, particularly concerning because of their critical vulnerability to the neurotoxic effects of ethanol. Adolescent neurodevelopment is characterized by critical neurobiological changes of the prefrontal, temporal and parietal regions, important for the development of executive control processes, such as inhibitory control (IC). In the present Magnetoencephalography (MEG) study, we aimed to describe the relationship between electrophysiological Functional Connectivity (FC) during an IC task and HD development, as well as its impact on functional neuromaturation. Methods We performed a two-year longitudinal protocol with two stages. In the first stage, before the onset of HD, we recorded brain electrophysiological activity from a sample of 67 adolescents (mean age = 14.6 ± 0.7) during an IC task. Alcohol consumption was measured using the AUDIT test and a semi-structured interview. Two years later, in the second stage, 32 of the 67 participants (mean age 16.7 ± 0.7) completed a similar protocol. As for the analysis in the first stage, the source-space FC matrix was calculated, and then, using a cluster-based permutation test (CBPT) based on Spearman's correlation, we calculated the correlation between the FC of each cortical source and the number of standard alcohol units consumed two years later. For the analysis of longitudinal change, we followed a similar approach. We calculated the symmetrized percentage change (SPC) between FC at both stages and performed a CBPT analysis, analyzing the correlation between FC change and the level of alcohol consumed in a regular session. Results The results revealed an association between higher beta-band FC in the prefrontal and temporal regions and higher consumption years later. Longitudinal results showed that greater future alcohol consumption was associated with an exacerbated reduction in the FC of the same areas. Discussion These results underline the existence of several brain functional differences prior to alcohol misuse and their impact on functional neuromaturation.
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Affiliation(s)
- Luis F. Antón-Toro
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Psychology, University Camilo José Cela (UCJC), Madrid, Spain,*Correspondence: Luis F. Antón-Toro, ✉ ; ✉
| | - Danylyna Shpakivska-Bilan
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Alberto Del Cerro-León
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Radiology, Faculty of Medicine, Complutense University of Madrid (UCM), Madrid, Spain
| | - Marcos Uceta
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Cellular Biology, Faculty of Biology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Luis M. García-Moreno
- Department of Psychobiology and Methodology in Behavioral Science, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
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17
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Cerro-León AD, Carrasco M, Cabrera J, Susi G, Maestú F. Alpha power modulation with tACS: a customized therapeutic approach. Brain Stimul 2023. [DOI: 10.1016/j.brs.2023.01.756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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18
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Bruña R, López-Sanz D, Maestú F, Cohen AD, Bagic A, Huppert T, Kim T, Roush RE, Snitz B, Becker JT. MEG Oscillatory Slowing in Cognitive Impairment is Associated with the Presence of Subjective Cognitive Decline. Clin EEG Neurosci 2023; 54:73-81. [PMID: 35188831 PMCID: PMC9392809 DOI: 10.1177/15500594221072708] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The mechanisms behind Alzheimer's disease are not yet fully described, and changes in the electrophysiology of patients across the continuum of the disease could help to understand them. In this work, we study the power spectral distribution of a set of 129 individuals from the Connectomics of Brian Aging and Dementia project.From this sample, we acquired task-free data, with eyes closed, and estimated the power spectral distribution in source space. We compared the spectral profiles of three groups of individuals: 70 healthy controls, 27 patients with amnestic MCI, and 32 individuals showing cognitive impairment without subjective complaints (IWOC).The results showed a slowing of the brain activity in the aMCI patients, when compared to both the healthy controls and the IWOC individuals. These differences appeared both as a decrease in power for high frequency oscillations and an increase in power in alpha oscillations. The slowing of the spectrum was significant mainly in parietal and medial frontal areas.We were able to validate the slowing of the brain activity in individuals with aMCI, appearing in our sample in areas related to the default mode network. However, this pattern did not appear in the IWOC individuals, suggesting that their condition is not part of the AD continuum. This work raises interesting questions about this group of individuals, and the underlying brain mechanisms behind their cognitive impairment.
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Affiliation(s)
- Ricardo Bruña
- Electrical Engineering, Universidad de La Laguna, La Laguna, Tenerife, Spain
- Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain
| | - David López-Sanz
- Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain
- Psicobiología y Metodología en Ciencias del Comportamiento, Universidad Complutense de Madrid, Madrid, Madrid, Spain
| | - Fernando Maestú
- Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Madrid, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain
| | - Ann D. Cohen
- Neurosurgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anto Bagic
- Neurology, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
| | - Ted Huppert
- Electrical Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tae Kim
- Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rebecca E. Roush
- Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Betz Snitz
- Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - James T. Becker
- Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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19
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Cabrera-Álvarez J, Susi G, Carrasco-Gómez M, León ADC, Maestú F. Computational modeling the impact of frontoparietal tACS desynchronization protocol over whole-brain functional connectivity. Brain Stimul 2023. [DOI: 10.1016/j.brs.2023.01.717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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20
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DeFelipe J, DeFelipe-Oroquieta J, Furcila D, Muñoz-Alegre M, Maestú F, Sola RG, Blázquez-Llorca L, Armañanzas R, Kastanaskaute A, Alonso-Nanclares L, Rockland KS, Arellano JI. Neuroanatomical and psychological considerations in temporal lobe epilepsy. Front Neuroanat 2022; 16:995286. [PMID: 36590377 PMCID: PMC9794593 DOI: 10.3389/fnana.2022.995286] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/11/2022] [Indexed: 01/03/2023] Open
Abstract
Temporal lobe epilepsy (TLE) is the most common form of focal epilepsy and is associated with a variety of structural and psychological alterations. Recently, there has been renewed interest in using brain tissue resected during epilepsy surgery, in particular 'non-epileptic' brain samples with normal histology that can be found alongside epileptic tissue in the same epileptic patients - with the aim being to study the normal human brain organization using a variety of methods. An important limitation is that different medical characteristics of the patients may modify the brain tissue. Thus, to better determine how 'normal' the resected tissue is, it is fundamental to know certain clinical, anatomical and psychological characteristics of the patients. Unfortunately, this information is frequently not fully available for the patient from which the resected tissue has been obtained - or is not fully appreciated by the neuroscientists analyzing the brain samples, who are not necessarily experts in epilepsy. In order to present the full picture of TLE in a way that would be accessible to multiple communities (e.g., basic researchers in neuroscience, neurologists, neurosurgeons and psychologists), we have reviewed 34 TLE patients, who were selected due to the availability of detailed clinical, anatomical, and psychological information for each of the patients. Our aim was to convey the full complexity of the disorder, its putative anatomical substrates, and the wide range of individual variability, with a view toward: (1) emphasizing the importance of considering critical patient information when using brain samples for basic research and (2) gaining a better understanding of normal and abnormal brain functioning. In agreement with a large number of previous reports, this study (1) reinforces the notion of substantial individual variability among epileptic patients, and (2) highlights the common but overlooked psychopathological alterations that occur even in patients who become "seizure-free" after surgery. The first point is based on pre- and post-surgical comparisons of patients with hippocampal sclerosis and patients with normal-looking hippocampus in neuropsychological evaluations. The second emerges from our extensive battery of personality and projective tests, in a two-way comparison of these two types of patients with regard to pre- and post-surgical performance.
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Affiliation(s)
- Javier DeFelipe
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Madrid, Spain,Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain,*Correspondence: Javier DeFelipe,
| | - Jesús DeFelipe-Oroquieta
- Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain,Facultad de Educación, Universidad Camilo José Cela, Madrid, Spain
| | - Diana Furcila
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain
| | - Mar Muñoz-Alegre
- Facultad de Educación y Psicología, Universidad Francisco de Vitoria, Madrid, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain,Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain
| | - Rafael G. Sola
- Cátedra UAM de “Innovación en Neurocirugía”, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain
| | - Lidia Blázquez-Llorca
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain,Sección Departamental de Anatomía y Embriología, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
| | - Rubén Armañanzas
- Institute of Data Science and Artificial Intelligence, Universidad de Navarra, Pamplona, Spain,Tecnun School of Engineering, Universidad de Navarra, Donostia-San Sebastian, Spain
| | - Asta Kastanaskaute
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Madrid, Spain,Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Lidia Alonso-Nanclares
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Madrid, Spain,Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - Kathleen S. Rockland
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, United States
| | - Jon I. Arellano
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
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21
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García‐Colomo A, Nebreda A, de Frutos J, Carrasco‐Gómez M, Fernández RB, Maestú F. Sleep associated electrophysiological activity in subjects at different levels of risk of developing Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.067708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | | | - Ricardo Bruña Fernández
- Department of radiology, rehabilitation, and physiotherapy. Universidad Complutense de Madrid Madrid Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid Madrid Spain
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22
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Fernández A, Ramírez-Toraño F, Bruña R, Zuluaga P, Esteba-Castillo S, Abásolo D, Moldenhauer F, Shumbayawonda E, Maestú F, García-Alba J. Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment. Front Aging Neurosci 2022; 14:988540. [PMID: 36337705 PMCID: PMC9631477 DOI: 10.3389/fnagi.2022.988540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Background Down syndrome (DS) is considered the most frequent cause of early-onset Alzheimer’s disease (AD), and the typical pathophysiological signs are present in almost all individuals with DS by the age of 40. Despite of this evidence, the investigation on the pre-dementia stages in DS is scarce. In the present study we analyzed the complexity of brain oscillatory patterns and neuropsychological performance for the characterization of mild cognitive impairment (MCI) in DS. Materials and methods Lempel-Ziv complexity (LZC) values from resting-state magnetoencephalography recordings and the neuropsychological performance in 28 patients with DS [control DS group (CN-DS) (n = 14), MCI group (MCI-DS) (n = 14)] and 14 individuals with typical neurodevelopment (CN-no-DS) were analyzed. Results Lempel-Ziv complexity was lowest in the frontal region within the MCI-DS group, while the CN-DS group showed reduced values in parietal areas when compared with the CN-no-DS group. Also, the CN-no-DS group exhibited the expected pattern of significant increase of LZC as a function of age, while MCI-DS cases showed a decrease. The combination of reduced LZC values and a divergent trajectory of complexity evolution with age, allowed the discrimination of CN-DS vs. MCI-DS patients with a 92.9% of sensitivity and 85.7% of specificity. Finally, a pattern of mnestic and praxic impairment was significantly associated in MCI-DS cases with the significant reduction of LZC values in frontal and parietal regions (p = 0.01). Conclusion Brain signal complexity measured with LZC is reduced in DS and its development with age is also disrupted. The combination of both features might assist in the detection of MCI within this population.
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Affiliation(s)
- Alberto Fernández
- Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), Hospital Universitario San Carlos, Madrid, Spain
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
| | - Federico Ramírez-Toraño
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Radiology, Universidad Complutense de Madrid, Madrid, Spain
- Department of Industrial Engineering & IUNE & ITB, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Pilar Zuluaga
- Statistics & Operations Research Department, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Susanna Esteba-Castillo
- Neurodevelopmental Group, Girona Biomedical Research Institute-IDIBGI, Institute of Health Assistance (IAS), Parc Hospitalari Martí i Julià, Girona, Spain
| | - Daniel Abásolo
- Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Guildford, United Kingdom
| | - Fernando Moldenhauer
- Adult Down Syndrome Unit, Internal Medicine Department, Health Research Institute, Hospital Universitario de La Princesa, Madrid, Spain
| | - Elizabeth Shumbayawonda
- Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Guildford, United Kingdom
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Javier García-Alba
- Department of Research and Psychology in Education, Universidad Complutense de Madrid, Madrid, Spain
- *Correspondence: Javier García-Alba,
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23
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Vaccaro MG, Liuzza MT, Pastore M, Paúl N, Yubero R, Quattrone A, Antonucci G, Gambardella A, Maestú F. The validity and reliability of the Test of Memory Strategies among Italian healthy adults. PeerJ 2022; 10:e14059. [PMID: 36196404 PMCID: PMC9527021 DOI: 10.7717/peerj.14059] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 08/25/2022] [Indexed: 01/20/2023] Open
Abstract
Background Previous literature has shown that executive functions (EF) are related to performance in memory (M) tasks. Nevertheless, there is a shortage of psychometric tests that examine these two constructs simultaneously. The Test of Memory Strategies (TMS; previously validated in Spain and Portugal) could be a useful verbal learning task that evaluates these two constructs at once. In this study, we aimed to evaluate the psychometric properties of the TMS in an Italian adult sample. Method One hundred twenty-one healthy volunteers (74 F, Mean age = 45.9 years old, SD = 20.4) who underwent a neuropsychological examination participated in this study. We conducted a Confirmatory factor analysis (CFA) to evaluate the structural validity of the TMS. We conducted a latent variable analysis to examine convergent and discriminant validity of the TMS sub-scale scores reflecting executive functions and memory. We also examined the TMS reliability in terms of internal consistency through the McDonald's omega. Results The CFA confirmed the expectation that the TMS-1 and TMS-2 subtests reflect a factor and that the TMS-3, TMS-4, and TMS-5 subtests reflect a different factor. This result is in line with the prediction that TMS-1 and TMS-2 require the use of executive functions and memory simultaneously, and therefore we called this factor executive functions (EF); whereas the TMS-3, TMS-4, and TMS-5 subtests require less involvement of executive functions, thus reflecting a construct that we named memory (M). The TMS subtests for EF and M showed convergent validity with the test scores using a traditional neuropsychological battery, assessing memory and executive functions separately. Finally, the reliability of the subtests was good. Conclusions These preliminary findings suggest that TMS is a valid and reliable scale to simultaneously assess M and EF while among Italian healthy adults.
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Affiliation(s)
- Maria Grazia Vaccaro
- Department of Medical and Surgical Sciences, Magna Græcia University of Catanzaro, Catanzaro, Calabria, Italia,Neuroscience Center, “Magna Græcia” University, Catanzaro, Italy, Catanzaro, Calabria, Italia
| | - Marco Tullio Liuzza
- Department of Medical and Surgical Sciences, Magna Græcia University of Catanzaro, Catanzaro, Calabria, Italia
| | - Massimiliano Pastore
- Department of Developmental and Social Psychology, Padova University, Padova, Veneto, Italy
| | - Nuria Paúl
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Raquel Yubero
- Department of Neurology, Quirón Pozuelo Hospital, 28223, Pozuelo de Alarcón, Madrid, Spain
| | - Andrea Quattrone
- Department of Medical and Surgical Sciences, Magna Græcia University of Catanzaro, Catanzaro, Calabria, Italia
| | - Gabriella Antonucci
- Department of Psychology, University of Roma “La Sapienza”, Roma, Lazio, Italy,Fondazione Santa Lucia, IRCCS, Roma, Lazio, Italia
| | - Antonio Gambardella
- Department of Medical and Surgical Sciences, “Magna Græcia” University of Catanzaro, Catanzaro, Calabria, Italia
| | - Fernando Maestú
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universidad Complutense de Madrid, Madrid, Spain
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Chino B, Cuesta P, Pacios J, de Frutos-Lucas J, Torres-Simón L, Doval S, Marcos A, Bruña R, Maestú F. Episodic memory dysfunction and hypersynchrony in brain functional networks in cognitively intact subjects and MCI: a study of 379 individuals. GeroScience 2022; 45:477-489. [PMID: 36109436 PMCID: PMC9886758 DOI: 10.1007/s11357-022-00656-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/01/2022] [Indexed: 02/03/2023] Open
Abstract
Delayed recall (DR) impairment is one of the most significant predictive factors in defining the progression to Alzheimer's disease (AD). Changes in brain functional connectivity (FC) could accompany this decline in the DR performance even in a resting state condition from the preclinical stages to the diagnosis of AD itself, so the characterization of the relationship between the two phenomena has attracted increasing interest. Another aspect to contemplate is the potential moderator role of the APOE genotype in this association, considering the evidence about their implication for the disease. 379 subjects (118 mild cognitive impairment (MCI) and 261 cognitively intact (CI) individuals) underwent an extensive evaluation, including MEG recording. Applying cluster-based permutation test, we identified a cluster of differences in FC and studied which connections drove such an effect in DR. The moderation effect of APOE genotype between FC results and delayed recall was evaluated too. Higher FC in beta band in the right occipital region is associated with lower DR scores in both groups. A significant anteroposterior link emerged in the seed-based analysis with higher values in MCI. Moreover, APOE genotype appeared as a moderator between beta FC and DR performance only in the CI group. An increased beta FC in the anteroposterior brain region appears to be associated with lower memory performance in MCI. This finding could help discriminate the pattern of the progression of healthy aging to MCI and the relation between resting state and memory performance.
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Affiliation(s)
- Brenda Chino
- Institute of Neuroscience, Autonomous University of Barcelona, Barcelona, Spain. .,Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain.
| | - Pablo Cuesta
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Department of Radiology, Rehabilitation, and Physiotherapy, Complutense University of Madrid, Madrid, Spain ,Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Javier Pacios
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain ,Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Jaisalmer de Frutos-Lucas
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain ,Centre for Precision Health, Edith Cowan University, Joondalup, WA 6027 Australia ,Centro de Investigación Nebrija en Cognición (CINC), Universidad de Nebrija, Madrid, Spain
| | - Lucía Torres-Simón
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Sandra Doval
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Alberto Marcos
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain ,Neurology Department, Hospital Clinico San Carlos, Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Department of Radiology, Rehabilitation, and Physiotherapy, Complutense University of Madrid, Madrid, Spain ,Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain ,Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain ,Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
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25
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Nevado A, del Rio D, Pacios J, Maestú F. Neuropsychological networks in cognitively healthy older adults and dementia patients. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 2022; 29:903-927. [PMID: 34415217 PMCID: PMC9485389 DOI: 10.1080/13825585.2021.1965951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 08/04/2021] [Indexed: 10/20/2022]
Abstract
Neuropsychological tests have commonly been used to determine the organization of cognitive functions by identifying latent variables. In contrast, an approach which has seldom been employed is network analysis. We characterize the network structure of a set of representative neuropsychological test scores in cognitively healthy older adults and MCI and dementia patients using network analysis. We employed the neuropsychological battery from the National Alzheimer's Coordinating Center which included healthy controls (n = 7623), mild cognitive impairment patients (n = 5981) and dementia patients (n = 2040), defined according to the Clinical Dementia Rating. The results showed that, according to several network analysis measures, the most central cognitive function is executive function followed by attention, language, and memory. At the test level, the most central test was the Trail Making Test B, which measures cognitive flexibility. Importantly, these results and most other network measures, such as the community organization and graph representation, were similar across the three diagnostic groups. Therefore, network analysis can help to establish a ranking of cognitive functions and tests based on network centrality and suggests that this organization is preserved in dementia. Central nodes might be particularly relevant both from a theoretical and clinical point of view, as they are more associated with other nodes, and their disruption is likely to have a larger effect on the overall network than peripheral nodes. The present analysis may provide a proof of principle for the application of network analysis to cognitive data.
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Affiliation(s)
- Angel Nevado
- Experimental Psychology Department, Complutense University of Madrid, Madrid, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
| | - David del Rio
- Experimental Psychology Department, Complutense University of Madrid, Madrid, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
| | - Javier Pacios
- Experimental Psychology Department, Complutense University of Madrid, Madrid, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
| | - Fernando Maestú
- Experimental Psychology Department, Complutense University of Madrid, Madrid, Spain
- Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
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26
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Chino-Vilca B, Concepción Rodríguez-Rojo I, Torres-Simón L, Cuesta P, Carnes Vendrell A, Piñol-Ripoll G, Huerto R, Tahan N, Maestú F. Sex specific EEG signatures associated with cerebrospinal fluid biomarkers in mild cognitive impairment. Clin Neurophysiol 2022; 142:190-198. [DOI: 10.1016/j.clinph.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 06/07/2022] [Accepted: 08/06/2022] [Indexed: 11/25/2022]
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27
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Antón-Toro LF, Bruña R, Del Cerro-León A, Shpakivska D, Mateos-Gordo P, Porras-Truque C, García-Gómez R, Maestú F, García-Moreno LM. Electrophysiological resting-state hyperconnectivity and poorer behavioural regulation as predisposing profiles of adolescent binge drinking. Addict Biol 2022; 27:e13199. [PMID: 35754100 PMCID: PMC9286401 DOI: 10.1111/adb.13199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/29/2022] [Accepted: 06/02/2022] [Indexed: 11/30/2022]
Abstract
Adolescent Binge Drinking (BD) has become an increasing health and social concern, with detrimental consequences for brain development and functional integrity. However, research on neurophysiological and neuropsychological traits predisposing to BD are limited at this time. In this work, we conducted a 2‐year longitudinal magnetoencephalography (MEG) study over a cohort of initially alcohol‐naïve adolescents with the purpose of exploring anomalies in resting‐state electrophysiological networks, impulsivity, sensation‐seeking, and dysexecutive behaviour able to predict future BD patterns. In a sample of 67 alcohol‐naïve adolescents (age = 14.5 ± 0.9), we measured resting‐state activity using MEG. Additionally, we evaluated their neuropsychological traits using self‐report ecological scales (BIS‐11, SSS‐V, BDEFS, BRIEF‐SR and DEX). In a second evaluation, 2 years later, we measured participant's alcohol consumption, sub‐dividing the original sample in two groups: future binge drinkers (22 individuals, age 14.6 ± 0.8; eight females) and future light/no drinkers (17 individuals, age 14.5 ± 0.8; eight females). Then, we searched for differences predating alcohol BD intake. We found abnormalities in MEG resting state, in a form of gamma band hyperconnectivity, in those adolescents who transitioned into BD years later. Furthermore, they showed higher impulsivity, dysexecutive behaviours and sensation seeking, positively correlated with functional connectivity (FC). Sensation seeking and impulsivity mainly predicted BD severity in the future, while the relationship between dysexecutive trait and FC with future BD was mediated by sensation seeking. These findings shed light to electrophysiological and neuropsychological traits of vulnerability towards alcohol consumption. We hypothesise that these differences may rely on divergent neurobiological development of inhibitory neurotransmission pathways and executive prefrontal circuits.
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Affiliation(s)
- Luis F Antón-Toro
- Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Ricardo Bruña
- Department of Radiology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Alberto Del Cerro-León
- Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Danylyna Shpakivska
- Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Patricia Mateos-Gordo
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), Madrid, Spain
| | - Claudia Porras-Truque
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), Madrid, Spain
| | - Raquel García-Gómez
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), Madrid, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Luis Miguel García-Moreno
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), Madrid, Spain
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Torres-Simón L, Doval S, Nebreda A, Llinas SJ, Marsh EB, Maestú F. Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review. Neuroimage Clin 2022; 35:103040. [PMID: 35653914 PMCID: PMC9163840 DOI: 10.1016/j.nicl.2022.103040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/09/2022] [Accepted: 05/06/2022] [Indexed: 11/22/2022]
Abstract
Vascular Cognitive Impairment (VCI) is the second most prevalent dementia worldwide. Cerebrovascular disease is a major comorbid contributor to neurodegenerative diseases. VCI patients show specific spectral, connectivity and evoked responses patterns. Literature suggests that EEG-MEG might provide promising biomarkers for early VCI. Further neurophysiological research is needed for VCI subtypes differentiation.
Vascular Cognitive Impairment (VCI) is the second most prevalent dementia after Alzheimer’s Disease (AD), and cerebrovascular disease (CBVD) is a major comorbid contributor to the progression of most neurodegenerative diseases. Early differentiation of cognitive impairment is critical given both the high prevalence of CBVD, and that its risk factors are modifiable. The ability for electroencephalogram (EEG) and magnetoencephalogram (MEG) to detect changes in brain functioning for other dementias suggests that they may also be promising biomarkers for early VCI. The present systematic review aims to summarize the literature regarding electrophysiological patterns of mild and major VCI. Despite considerable heterogeneity in clinical definition and electrophysiological methodology, common patterns exist when comparing patients with VCI to healthy controls (HC) and patients with AD, though there is a low specificity when comparing between VCI subgroups. Similar to other dementias, slowed frequency patterns and disrupted inter- and intra-hemispheric connectivity are repeatedly reported for VCI patients, as well as longer latencies and smaller amplitudes in evoked responses. Further study is needed to fully establish MEG and EEG as clinically useful biomarkers, including a clear definition of VCI and standardized methodology, allowing for comparison across groups and consolidation of multicenter efforts.
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Affiliation(s)
- Lucía Torres-Simón
- Center of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.
| | - Sandra Doval
- Center of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Alberto Nebreda
- Center of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Sophia J Llinas
- Department of Neurology, the Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Elisabeth B Marsh
- Department of Neurology, the Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Fernando Maestú
- Center of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
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Gómez MC, del Cerro León A, Cabrera-Álvarez J, Gómez-Ariza CJ, Maestú F. Erratum to the abstract, “Alpha-peak power modulation with transcranial alternate current stimulation for Alzheimer's Disease – A pilot study in healthy controls(tACS)”. Brain Stimul 2022. [DOI: 10.1016/j.brs.2022.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Pusil S, Torres-Simon L, Chino B, López ME, Canuet L, Bilbao Á, Maestú F, Paúl N. Resting-State Beta-Band Recovery Network Related to Cognitive Improvement After Stroke. Front Neurol 2022; 13:838170. [PMID: 35280290 PMCID: PMC8914082 DOI: 10.3389/fneur.2022.838170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/03/2022] [Indexed: 11/29/2022] Open
Abstract
Background Stroke is the second leading cause of death worldwide and it causes important long-term cognitive and physical deficits that hamper patients' daily activity. Neuropsychological rehabilitation (NR) has increasingly become more important to recover from cognitive disability and to improve the functionality and quality of life of these patients. Since in most stroke cases, restoration of functional connectivity (FC) precedes or accompanies cognitive and behavioral recovery, understanding the electrophysiological signatures underlying stroke recovery mechanisms is a crucial scientific and clinical goal. Methods For this purpose, a longitudinal study was carried out with a sample of 10 stroke patients, who underwent two neuropsychological assessments and two resting-state magnetoencephalographic (MEG) recordings, before and after undergoing a NR program. Moreover, to understand the degree of cognitive and neurophysiological impairment after stroke and the mechanisms of recovery after cognitive rehabilitation, stroke patients were compared to 10 healthy controls matched for age, sex, and educational level. Findings After intra and inter group comparisons, we found the following results: (1) Within the stroke group who received cognitive rehabilitation, almost all cognitive domains improved relatively or totally; (2) They exhibit a pattern of widespread increased in FC within the beta band that was related to the recovery process (there were no significant differences between patients who underwent rehabilitation and controls); (3) These FC recovery changes were related with the enhanced of cognitive performance. Furthermore, we explored the capacity of the neuropsychological scores before rehabilitation, to predict the FC changes in the brain network. Significant correlations were found in global indexes from the WAIS-III: Performance IQ (PIQ) and Perceptual Organization index (POI) (i.e., Picture Completion, Matrix Reasoning, and Block Design).
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Affiliation(s)
- Sandra Pusil
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Lucía Torres-Simon
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Brenda Chino
- Institute of Neuroscience, Autonomous University of Barcelona, Barcelona, Spain
| | - María Eugenia López
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Leonides Canuet
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Álvaro Bilbao
- National Centre for Brain Injury Treatment, Centro de Referencia Estatal de Atención Al Daño Cerebral (CEADAC), Madrid, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Nuria Paúl
- Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
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Medina R, Bouhaben J, de Ramón I, Cuesta P, Antón-Toro L, Pacios J, Quintero J, Quiroga AR, Maestú F. Alfa band power increases in posterior brain regions in attention deficit hyperactivity disorder after digital cognitive stimulation treatment. Brain Commun 2022; 4:fcac038. [PMID: 35402910 PMCID: PMC8984701 DOI: 10.1093/braincomms/fcac038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 10/11/2021] [Accepted: 02/15/2022] [Indexed: 11/15/2022] Open
Abstract
Abstract
The changes triggered by pharmacological treatments in resting-state alpha-band (8–14 Hz) oscillations have been widely studied in attention deficit hyperactivity disorder. However, to date, there has been no evidence regarding the possible changes in cognitive stimulation treatments on these oscillations. This paper sets out to verify whether cognitive stimulation treatments based on progressive increases in cognitive load can be effective in triggering changes in alpha-band power in attention deficit hyperactivity disorder. With this objective, we compared a cognitive stimulation treatment (n = 13) to placebo treatment (n = 13) for 12 weeks (36 sessions of 15 min) in child patients (8–11 years old) with attention deficit hyperactivity disorder. Two magnetoencephalographic recordings were acquired for all the participants. In order to extract the areas with changes in alpha power between both magnetoencephalographic recordings, the differences in the power ratio (pre/post-condition) were calculated using an Analysis of Covariance test adjusted for the age variable. The results show an increase in the post-treatment power ratio in the experimental group versus the placebo group (P < 0.01) in posterior regions and the default mode network. In addition, these alpha changes were related to measures of attention, working memory and cognitive flexibility. The results seem to indicate that cognitive stimulation treatment based on progressive increases in cognitive load triggers alpha-band power changes in child attention deficit hyperactivity disorder patients in the direction of their peers without this disorder.
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Affiliation(s)
| | | | - Ignacio de Ramón
- Sincrolab, Ltd., Madrid 28033, Spain
- Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Technical University of Madrid, Madrid 28660, Spain
| | - Pablo Cuesta
- Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Technical University of Madrid, Madrid 28660, Spain
| | - Luis Antón-Toro
- Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Technical University of Madrid, Madrid 28660, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid 28223, Spain
| | - Javier Pacios
- Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Technical University of Madrid, Madrid 28660, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid 28223, Spain
| | - Javier Quintero
- Department of Psychiatry, University Hospital Infanta Leonor, Madrid 28031, Spain
| | | | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience, Centre for Biomedical Technology (CTB), Technical University of Madrid, Madrid 28660, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Madrid 28223, Spain
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Suárez-Méndez I, Bruña R, López-Sanz D, Montejo P, Montenegro-Peña M, Delgado-Losada ML, Marcos Dolado A, López-Higes R, Maestú F. Cognitive Training Modulates Brain Hypersynchrony in a Population at Risk for Alzheimer's Disease. J Alzheimers Dis 2022; 86:1185-1199. [PMID: 35180120 DOI: 10.3233/jad-215406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recent studies demonstrated that brain hypersynchrony is an early sign of dysfunction in Alzheimer's disease (AD) that can represent a proxy for clinical progression. Conversely, non-pharmacological interventions, such as cognitive training (COGTR), are associated with cognitive gains that may be underpinned by a neuroprotective effect on brain synchrony. OBJECTIVE To study the potential of COGTR to modulate brain synchrony and to eventually revert the hypersynchrony phenomenon that characterizes preclinical AD. METHODS The effect of COGTR was examined in a sample of healthy controls (HC, n = 41, 22 trained) and individuals with subjective cognitive decline (SCD, n = 49, 24 trained). Magnetoencephalographic (MEG) activity and neuropsychological scores were acquired before and after a ten-week COGTR intervention aimed at improving cognitive function and daily living performance. Functional connectivity (FC) was analyzed using the phase-locking value. A mixed-effects ANOVA model with factors time (pre-intervention/post-intervention), training (trained/non-trained), and diagnosis (HC/SCD) was used to investigate significant changes in FC. RESULTS We found an average increase in alpha-band FC over time, but the effect was different in each group (trained and non-trained). In the trained group (HC and SCD), we report a reduction in the increase in FC within temporo-parietal and temporo-occipital connections. In the trained SCD group, this reduction was stronger and showed a tentative correlation with improved performance in different cognitive tests. CONCLUSION COGTR interventions could mitigate aberrant increases in FC in preclinical AD, promoting brain synchrony normalization in groups at a higher risk of developing dementia.
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Affiliation(s)
- Isabel Suárez-Méndez
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Departamento de Estructura de la Materia, Física Térmica y Electrónica, Universidad Complutense de Madrid (UCM), Facultad de Ciencias Físicas, Madrid, Spain.,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Ricardo Bruña
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - David López-Sanz
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Psychobiology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Pedro Montejo
- Center for the Prevention of Cognitive Impairment (Madrid Salud), Madrid City Council, Spain
| | - Mercedes Montenegro-Peña
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain.,Center for the Prevention of Cognitive Impairment (Madrid Salud), Madrid City Council, Spain
| | - María Luisa Delgado-Losada
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | | | - Ramón López-Higes
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Madrid, Spain
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Ruiz A, Sánchez D, Lafuente A, Ortega G, Buendía M, Papasey J, Jimeno SY, Badia FP, Palacio ME, Abdelnour C, Ramírez-Toraño F, Maestú F, Sáez ME, Tárraga L, Dagnelie PC, Boada M. Evaluation of the Feasibility, Safety and Efficacy of the Use of Intravenous Infusions of Adenosine Triphosphate (ATP) in People Affected by Moderate to Severe Alzheimer's Disease: A Double-Blind Masked Clinical Trial for Dose Finding. J Prev Alzheimers Dis 2022; 9:425-434. [PMID: 35841243 DOI: 10.14283/jpad.2022.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND There are currently no drug therapies modifying the natural history of patients suffering Alzheimer's disease (AD). Most recent clinical trials in the field include only subjects in early stage of the disease, while patients with advanced AD are usually not represented. OBJECTIVES To evaluate the feasibility, safety and efficacy of systemic infusions of adenosine triphosphate (ATP) in patients with moderate to severe AD, and to select the minimum effective dose of infusion. DESIGN A phase IIb, randomized, double-blind, placebo-controlled clinical trial investigates. PARTICIPANTS A total of 20 subjects with moderate or severe AD were included, 16 in the treatment group and 4 in the placebo group (4:1 randomization) at two dosage regimens, 6-hour or 24-hour infusions. RESULTS The proof-of-concept study was successfully conducted, with no significant deviations from the study protocol and no serious adverse events reported. Regarding efficacy, only marginal differences were observed between ATP and placebo arms for H-MRS and MMSE variables. CONCLUSIONS Our study demonstrates that the use of ATP infusion as therapy is feasible and safe. Larger studies are however needed to assess the efficacy of ATP in moderate to severe AD.
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Affiliation(s)
- A Ruiz
- Dr. Agustín Ruiz, Research Center and Memory Clinic, Fundació ACE, Barcelona Alzheimer Treatment and Research Centre, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya (UIC) - Barcelona, Spain, ,
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Verdejo J, Cuesta P, Torres L, Fernández RB, Maestú F. Dorsal hippocampal surface reduction as a biomarker of neurodegeneration in subjects with subjective cognitive decline and MCI converters to dementia. Alzheimers Dement 2021. [DOI: 10.1002/alz.056129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Juan Verdejo
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
| | - Pablo Cuesta
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
| | - Lucia Torres
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
| | - Ricardo Bruña Fernández
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
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de Frutos J, Cuesta P, Fernández RB, Vilca BC, Torres L, Arrazola J, Higes RL, Dolado AM, Maestú F. Electrophysiological differences between older women and men in the absence of disease: A step closer to personalized medicine. Alzheimers Dement 2021. [DOI: 10.1002/alz.055481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jaisalmer de Frutos
- Edith Cowan University Joondalup WA Australia
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Autónoma de Madrid Madrid Spain
| | - Pablo Cuesta
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
- Centro de Tecnología Biomédica Madrid Spain
| | - Ricardo Bruña Fernández
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Brenda Chino Vilca
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Nacional de San Agustín de Arequipa Arequipa Peru
- Institute of Neuroscience, Autonomous University of Barcelona Barcelona Spain
| | - Lucia Torres
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
| | | | | | | | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
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García‐Colomo A, Nebreda A, de Frutos J, Losada MLD, Higes RL, Cuesta P, Vilca BC, Dolado AM, Maestú F. NRG1/ErbB4 signaling and its role on the development and progression of Alzheimer's disease. Alzheimers Dement 2021. [DOI: 10.1002/alz.056174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Alejandra García‐Colomo
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Complutense de Madrid Madrid Spain
| | - Alberto Nebreda
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnologia Biomédica Pozuelo de Alarcón Spain
| | - Jaisalmer de Frutos
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Autónoma de Madrid Madrid Spain
| | | | | | - Pablo Cuesta
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
- Centro de Tecnología Biomédica Madrid Spain
| | - Brenda Chino Vilca
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Nacional de San Agustín de Arequipa Arequipa Peru
- Institute of Neuroscience, Autonomous University of Barcelona Barcelona Spain
| | | | - Fernando Maestú
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
- Complutense University of Madrid Madrid Spain
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Torres L, Cuesta P, Fernández RB, Vilca BC, Dolado AM, Fuertes MY, Arrazola J, Fernandez A, Verdejo J, Maestú F, Higes RL. Electrophysiological brain functional network alterations associated with hippocampal volume in healthy and pathological aging. Alzheimers Dement 2021. [DOI: 10.1002/alz.055541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Lucia Torres
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
| | - Pablo Cuesta
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
| | - Ricardo Bruña Fernández
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Brenda Chino Vilca
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Institute of Neuroscience Autonomous University of Barcelona Barcelona Spain
| | | | | | | | - Alberto Fernandez
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
| | - Juan Verdejo
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
| | - Fernando Maestú
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
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Carrasco‐Gómez M, García‐Colomo A, Nebreda A, de Frutos J, Salas‐González MD, Lorenzo‐Mora AM, Pedrero‐Chamizo R, Sobaler AML, Higes RL, Dolado AM, Losada MLD, González‐Gross M, Maestú F. Effects of fitness and sedentarism on a biomarker of early AD progression. Alzheimers Dement 2021. [DOI: 10.1002/alz.055729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Martín Carrasco‐Gómez
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Politécnica de Madrid Madrid Spain
- Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Alejandra García‐Colomo
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Complutense de Madrid Madrid Spain
| | - Alberto Nebreda
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnologia Biomédica Pozuelo de Alarcón Spain
| | - Jaisalmer de Frutos
- Edith Cowan University Joondalup WA Australia
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Autónoma de Madrid Madrid Spain
| | | | | | - Raquel Pedrero‐Chamizo
- Universidad Politécnica de Madrid Madrid Spain
- ImFine Research Group Madrid Spain
- Exercise and Health Spanish Research Net (EXERNET) Zaragoza Spain
| | | | | | | | | | - Marcela González‐Gross
- Universidad Politécnica de Madrid Madrid Spain
- ImFine Research Group Madrid Spain
- Exercise and Health Spanish Research Net (EXERNET) Zaragoza Spain
- Centro de Investigación Biomédica en Red‐Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Madrid Spain
| | - Fernando Maestú
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
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Nebreda A, de Frutos J, Cuesta P, Del Cerro‐León A, García‐Colomo A, Dolado AM, Fuertes MY, Maestú F. Hippocampal volumes across age at different stages of the AD continuum. Alzheimers Dement 2021. [DOI: 10.1002/alz.052351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Alberto Nebreda
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnologia Biomédica Pozuelo de Alarcón Spain
| | - Jaisalmer de Frutos
- Edith Cowan University Joondalup WA Australia
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Autónoma de Madrid Madrid Spain
| | - Pablo Cuesta
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
- Centro de Tecnología Biomédica Madrid Spain
| | - Alberto Del Cerro‐León
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnología Biomédica Madrid Spain
| | - Alejandra García‐Colomo
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
| | | | | | - Fernando Maestú
- Universidad Complutense de Madrid Madrid Spain
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
- Complutense University of Madrid Madrid Spain
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Rojo ICR, Cuesta P, Frutos J, Fernández RB, García MEL, Calero M, Ruiz A, Moreno‐Grau S, Toraño FR, Serrano N, Sanz DL, Correas Á, Higes RL, Losada MLD, Dolado AM, Pereda E, Maestú F, Fernández A. The influence of a genetic risk score for Alzheimer’s disease on healthy elderly brain functional connectivity: A magnetoencephalography study. Alzheimers Dement 2021. [DOI: 10.1002/alz.052944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | - Pablo Cuesta
- Centro de Tecnología Biomédica Madrid Spain
- Universidad de La Laguna Tenerife Spain
| | - Jaisalmer Frutos
- Edith Cowan University Joondalup WA Australia
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Autónoma de Madrid Madrid Spain
| | - Ricardo Bruña Fernández
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - María Eugenia López García
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Miguel Calero
- Chronic Disease Programme (UFIEC)‐CROSADIS Instituto Madrid Spain
| | - Agustin Ruiz
- Research Center and Memory Clinic Fundació ACE Institut Català de Neurociències Aplicades Universitat Internacional de Catalunya Barcelona Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED) Instituto de Salud Carlos III Madrid Spain
| | - Sonia Moreno‐Grau
- Networking Research Center on Neurodegenerative Diseases (CIBERNED) Instituto de Salud Carlos III Madrid Spain
- Research Center and Memory Clinic Fundació ACE Institut Català de Neurociències Aplicades Universitat Internacional de Catalunya Barcelona Spain
| | | | - Noelia Serrano
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
| | - David López Sanz
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
| | - Ángeles Correas
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Villanueva Madrid Spain
| | | | | | | | | | - Fernando Maestú
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
- Centro de Tecnología Biomédica Pozuelo de Alarcón Spain
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Susi G, Méndez IS, Verdejo J, García MEL, Cuesta P, Maestú F. Modeling resting state MEG functional connectivity of the prodromal phase of AD using The Virtual Brain. Alzheimers Dement 2021. [DOI: 10.1002/alz.052316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Gianluca Susi
- Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Complutense University of Madrid Madrid Spain
| | | | - Juan Verdejo
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
| | - María Eugenia López García
- Universidad Complutense de Madrid Madrid Spain
- Centro de Tecnología Biomédica Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | - Pablo Cuesta
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
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42
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Vilca BC, Rojo ICR, Torres L, Cuesta P, Carnes A, Piñol‐Ripoll G, Huerto R, Maestú F. Electrophysiological disruptions and cerebrospinal fluid biomarkers in mild cognitive impairment patients. Alzheimers Dement 2021. [DOI: 10.1002/alz.052319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Brenda Chino Vilca
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Institute of Neuroscience Autonomous University of Barcelona Barcelona Spain
| | | | | | - Pablo Cuesta
- Centro de Tecnología Biomédica Madrid Spain
- Universidad Complutense de Madrid Pozuelo de Alarcón Spain
| | - Anna Carnes
- Cognitive Disorder Unit Hospital Universitari Santa Maria Lleida Spain
| | | | - Raquel Huerto
- Cognitive Disorder Unit Hospital Universitari Santa Maria Lleida Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology Universidad Complutense and Universidad Politécnica de Madrid Madrid Spain
- Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
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Medina R, Bouhaben J, de Ramón I, Cuesta P, Antón-Toro L, Pacios J, Quintero J, Ramos-Quiroga JA, Maestú F. Electrophysiological Brain Changes Associated With Cognitive Improvement in a Pediatric Attention Deficit Hyperactivity Disorder Digital Artificial Intelligence-Driven Intervention: Randomized Controlled Trial. J Med Internet Res 2021; 23:e25466. [PMID: 34842533 PMCID: PMC8665400 DOI: 10.2196/25466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/11/2020] [Accepted: 05/13/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cognitive stimulation therapy appears to show promising results in the rehabilitation of impaired cognitive processes in attention deficit hyperactivity disorder. OBJECTIVE Encouraged by this evidence and the ever-increasing use of technology and artificial intelligence for therapeutic purposes, we examined whether cognitive stimulation therapy implemented on a mobile device and controlled by an artificial intelligence engine can be effective in the neurocognitive rehabilitation of these patients. METHODS In this randomized study, 29 child participants (25 males) underwent training with a smart, digital, cognitive stimulation program (KAD_SCL_01) or with 3 commercial video games for 12 weeks, 3 days a week, 15 minutes a day. Participants completed a neuropsychological assessment and a preintervention and postintervention magnetoencephalography study in a resting state with their eyes closed. In addition, information on clinical symptoms was collected from the child´s legal guardians. RESULTS In line with our main hypothesis, we found evidence that smart, digital, cognitive treatment results in improvements in inhibitory control performance. Improvements were also found in visuospatial working memory performance and in the cognitive flexibility, working memory, and behavior and general executive functioning behavioral clinical indexes in this group of participants. Finally, the improvements found in inhibitory control were related to increases in alpha-band power in all participants in the posterior regions, including 2 default mode network regions of the interest: the bilateral precuneus and the bilateral posterior cingulate cortex. However, only the participants who underwent cognitive stimulation intervention (KAD_SCL_01) showed a significant increase in this relationship. CONCLUSIONS The results seem to indicate that smart, digital treatment can be effective in the inhibitory control and visuospatial working memory rehabilitation in patients with attention deficit hyperactivity disorder. Furthermore, the relation of the inhibitory control with alpha-band power changes could mean that these changes are a product of plasticity mechanisms or changes in the neuromodulatory dynamics. TRIAL REGISTRATION ISRCTN Registry ISRCTN71041318; https://www.isrctn.com/ISRCTN71041318.
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Affiliation(s)
| | | | - Ignacio de Ramón
- Sincrolab Ltd, Madrid, Spain
- Laboratory of Computational and Cognitive Neuroscience, Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarcón, Spain
- Faculty of Health, Camilo Jose Cela University, Villafranca del Castillo, Spain
| | - Pablo Cuesta
- Laboratory of Computational and Cognitive Neuroscience, Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarcón, Spain
- Radiology Rehabilitation and Physiotherapy, Complutense University of Madrid, Madrid, Spain
| | - Luis Antón-Toro
- Laboratory of Computational and Cognitive Neuroscience, Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarcón, Spain
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain
| | - Javier Pacios
- Laboratory of Computational and Cognitive Neuroscience, Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarcón, Spain
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain
| | - Javier Quintero
- Department of Psychiatry, University Hospital Infanta Leonor, Madrid, Spain
| | - Josep Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health, Barcelona, Spain
| | - Fernando Maestú
- Laboratory of Computational and Cognitive Neuroscience, Centre for Biomedical Technology, Polytechnic University of Madrid, Pozuelo de Alarcón, Spain
- Department of Experimental Psychology, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain
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Bruña R, Maestú F, López-Sanz D, Bagic A, Cohen AD, Chang YF, Cheng Y, Doman J, Huppert T, Kim T, Roush RE, Snitz BE, Becker JT. Sex Differences in Magnetoencephalography-Identified Functional Connectivity in the Human Connectome Project Connectomics of Brain Aging and Dementia Cohort. Brain Connect 2021; 12:561-570. [PMID: 34726478 PMCID: PMC9419974 DOI: 10.1089/brain.2021.0059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Introduction: The human brain shows modest traits of sexual dimorphism, with the female brain, on average, 10% smaller than the male brain. These differences do not imply a lowered cognitive performance, but suggest a more optimal brain organization in women. Here we evaluate the patterns of functional connectivity (FC) in women and men from the Connectomics of Brain Aging and Dementia sample. Methods: We used phase locking values to calculate FC from the magnetoencephalography time series in a sample of 138 old adults (87 females and 51 males). We compared the FC patterns between sexes, with the intention of detecting regions with different levels of connectivity. Results: We found a frontal cluster, involving anterior cingulate and the medial frontal lobe, where women showed higher FC values than men. Involved connections included the following: (1) medial parietal areas, such as posterior cingulate cortices and precunei; (2) right insula; and (3) medium cingulate and paracingulate cortices. Moreover, these differences persisted when considering only cognitively intact individuals, but not when considering only cognitively impaired individuals. Discussion: Increased anteroposterior FC has been identified as a biomarker for increased risk of developing cognitive impairment or dementia. In our study, cognitively intact women showed higher levels of FC than their male counterparts. This result suggests that neurodegenerative processes could be taking place in these women, but the changes are undetected by current diagnosis tools. FC, as measured here, might be valuable for early identification of this neurodegeneration.
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Affiliation(s)
- Ricardo Bruña
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.,Department of Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.,Department of Experimental Psychology, Universidad Complutense de Madrid, Pozuelo de Alarcón, Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - David López-Sanz
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.,Department of Psychobiology, Universidad Complutense de Madrid, Madrid, Spain
| | - Anto Bagic
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Statistics, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ann D Cohen
- Department of Neurosurgery, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yue-Fang Chang
- Department of Neurosurgery, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yu Cheng
- Department of Statistics, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Biostatistics, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jack Doman
- Department of Neurosurgery, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ted Huppert
- Department of Electrical Engineering, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tae Kim
- Department of Radiology, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rebecca E Roush
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Beth E Snitz
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - James T Becker
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Neurology, and The University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychology, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Gómez MC, León ADC, López JC, Gómez-Ariza CJ, Maestú F. Alpha-peak power modulation with transcranial alternate current stimulation for Alzheimer’s Disease – A pilot study in healthy controls(tACS). Brain Stimul 2021. [DOI: 10.1016/j.brs.2021.10.329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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46
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Babiloni C, Noce G, Ferri R, Lizio R, Lopez S, Lorenzo I, Tucci F, Soricelli A, Zurrón M, Díaz F, Nobili F, Arnaldi D, Famà F, Buttinelli C, Giubilei F, Cipollini V, Marizzoni M, Güntekin B, Yıldırım E, Hanoğlu L, Yener G, Gündüz DH, Onorati P, Stocchi F, Vacca L, Maestú F, Frisoni GB, Del Percio C. Resting State Alpha Electroencephalographic Rhythms Are Affected by Sex in Cognitively Unimpaired Seniors and Patients with Alzheimer's Disease and Amnesic Mild Cognitive Impairment: A Retrospective and Exploratory Study. Cereb Cortex 2021; 32:2197-2215. [PMID: 34613369 DOI: 10.1093/cercor/bhab348] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/07/2021] [Accepted: 08/21/2021] [Indexed: 11/14/2022] Open
Abstract
In the present retrospective and exploratory study, we tested the hypothesis that sex may affect cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms recorded in normal elderly (Nold) seniors and patients with Alzheimer's disease and mild cognitive impairment (ADMCI). Datasets in 69 ADMCI and 57 Nold individuals were taken from an international archive. The rsEEG rhythms were investigated at individual delta, theta, and alpha frequency bands and fixed beta (14-30 Hz) and gamma (30-40 Hz) bands. Each group was stratified into matched females and males. The sex factor affected the magnitude of rsEEG source activities in the Nold seniors. Compared with the males, the females were characterized by greater alpha source activities in all cortical regions. Similarly, the parietal, temporal, and occipital alpha source activities were greater in the ADMCI-females than the males. Notably, the present sex effects did not depend on core genetic (APOE4), neuropathological (Aβ42/phospho-tau ratio in the cerebrospinal fluid), structural neurodegenerative and cerebrovascular (MRI) variables characterizing sporadic AD-related processes in ADMCI seniors. These results suggest the sex factor may significantly affect neurophysiological brain neural oscillatory synchronization mechanisms underpinning the generation of dominant rsEEG alpha rhythms to regulate cortical arousal during quiet vigilance.
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Affiliation(s)
- Claudio Babiloni
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
- San Raffaele of Cassino, Cassino (FR), Italy
| | | | | | | | - Susanna Lopez
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | | | - Federico Tucci
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | - Andrea Soricelli
- IRCCS SDN, Napoli, Italy
- Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy
| | - Montserrat Zurrón
- Departamento de Psicología Experimental, Facultad de Psicología, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Fernando Díaz
- Departamento de Psicología Experimental, Facultad de Psicología, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Flavio Nobili
- Clinica neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Neuroscienze, Oftalmologia, Genetica, Riabilitazione e Scienze Materno-infantili (DiNOGMI), Università di Genova, Italy
| | - Dario Arnaldi
- Clinica neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Neuroscienze, Oftalmologia, Genetica, Riabilitazione e Scienze Materno-infantili (DiNOGMI), Università di Genova, Italy
| | - Francesco Famà
- Clinica neurologica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Carla Buttinelli
- Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Franco Giubilei
- Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Virginia Cipollini
- Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Bahar Güntekin
- Department of Biophysics, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
- REMER, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab., Istanbul Medipol University, Istanbul, Turkey
| | - Ebru Yıldırım
- Istanbul Medipol University, Vocational School, Program of Electroneurophysiology, Istanbul, Turkey
| | - Lutfu Hanoğlu
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Görsev Yener
- Izmir School of Economics, Faculty of Medicine, Izmir, Turkey
| | - Duygu Hünerli Gündüz
- Health Sciences Institute, Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
| | - Paolo Onorati
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
| | | | | | - Fernando Maestú
- Departamento de Psicología Experimental, Facultad de Psicología, Universidad Complutense de Madrid, Madrid, Spain
| | - Giovanni B Frisoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Claudio Del Percio
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
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García-Laredo E, Castellanos MÁ, Badaya E, Paúl N, Yubero R, Maestú F, Molina JD, Chacón J. Executive Functions Influence on Memory Process in Patients with Paranoid Schizophrenia and Bipolar Disorders with and without Psychotic Symptoms. A Pilot Study. Span J Psychol 2021; 24:e40. [PMID: 34346301 DOI: 10.1017/sjp.2021.38] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The objective of the present study was to evaluate whether declarative memory deficits are related to executive function deficits (EF), since they could be a consequence of a poor organization of the material to memorize. This interaction between both cognitive processes can be studied simultaneously in a single task such as the Test of Memory Strategies (TSM). 23 patients with paranoid schizophrenic disorder, 11 with bipolar disorder with psychotic symptoms, 13 with bipolar disorder without psychotic symptoms and 15 healthy subjects were evaluated with the TSM; with the memory test Texts A and B (subtest of the Barcelona neuropsychological assessment battery), which assesses short-term and immediate recall without the influence of EF; and with the Trail Making Test (TMT): Part A (sustained attention) and Part B (executive control). The patients groups and the control group showed an improvement in memory performance across each of the TSM conditions. However, this facilitating effect of the strategies differed among the groups (the patients with higher EF deficits showed less improvement). Regarding these results, we conclude that this cognitive process cannot be independent of EF. However, due to the pilot nature of this study, it would be recommended to replicate these findings in new studies.
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48
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Maestú F, de Haan W, Busche MA, DeFelipe J. Neuronal excitation/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology. Ageing Res Rev 2021; 69:101372. [PMID: 34029743 DOI: 10.1016/j.arr.2021.101372] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/16/2021] [Accepted: 05/19/2021] [Indexed: 02/08/2023]
Abstract
Our incomplete understanding of the link between Alzheimer's Disease pathology and symptomatology is a crucial obstacle for therapeutic success. Recently, translational studies have begun to connect the dots between protein alterations and deposition, brain network dysfunction and cognitive deficits. Disturbance of neuronal activity, and in particular an imbalance in underlying excitation/inhibition (E/I), appears early in AD, and can be regarded as forming a central link between structural brain pathology and cognitive dysfunction. While there are emerging (non-)pharmacological options to influence this imbalance, the complexity of human brain dynamics has hindered identification of an optimal approach. We suggest that focusing on the integration of neurophysiological aspects of AD at the micro-, meso- and macroscale, with the support of computational network modeling, can unite fundamental and clinical knowledge, provide a general framework, and suggest rational therapeutic targets.
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Hatlestad-Hall C, Bruña R, Erichsen A, Andersson V, Syvertsen MR, Skogan AH, Renvall H, Marra C, Maestú F, Heuser K, Taubøll E, Solbakk AK, Haraldsen IH. The organization of functional neurocognitive networks in focal epilepsy correlates with domain-specific cognitive performance. J Neurosci Res 2021; 99:2669-2687. [PMID: 34173259 DOI: 10.1002/jnr.24896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 04/28/2021] [Accepted: 05/15/2021] [Indexed: 11/10/2022]
Abstract
Understanding and diagnosing cognitive impairment in epilepsy remains a prominent challenge. New etiological models suggest that cognitive difficulties might not be directly linked to seizure activity, but are rather a manifestation of a broader brain pathology. Consequently, treating seizures is not sufficient to alleviate cognitive symptoms, highlighting the need for novel diagnostic tools. Here, we investigated whether the organization of three intrinsic, resting-state functional connectivity networks was correlated with domain-specific cognitive test performance. Using individualized EEG source reconstruction and graph theory, we examined the association between network small worldness and cognitive test performance in 23 patients with focal epilepsy and 17 healthy controls, who underwent a series of standardized pencil-and-paper and digital cognitive tests. We observed that the specific networks robustly correlated with test performance in distinct cognitive domains. Specifically, correlations were evident between the default mode network and memory in patients, the central-executive network and executive functioning in controls, and the salience network and social cognition in both groups. Interestingly, the correlations were evident in both groups, but in different domains, suggesting an alteration in these functional neurocognitive networks in focal epilepsy. The present findings highlight the potential clinical relevance of functional brain network dysfunction in cognitive impairment.
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Affiliation(s)
| | - Ricardo Bruña
- Center for Biomedical Technology, Technical University of Madrid, Pozuelo de Alarcón, Spain.,Department of Experimental Psychology, Complutense University of Madrid, Pozuelo de Alarcón, Spain.,Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Aksel Erichsen
- Department of Neurology, Oslo University Hospital, Oslo, Norway.,Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Marte Roa Syvertsen
- Department of Neurology, Drammen Hospital, Vestre Viken Health Care Trust, Drammen, Norway
| | - Annette Holth Skogan
- Division of Clinical Neuroscience, National Centre for Epilepsy, Oslo University Hospital, Oslo, Norway
| | - Hanna Renvall
- Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland.,BioMag Laboratory, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki and Aalto, Helsinki, Finland
| | - Camillo Marra
- Department of Neuroscience, Fondazione Policlinico Agostino Gemelli, Rome, Italy
| | - Fernando Maestú
- Center for Biomedical Technology, Technical University of Madrid, Pozuelo de Alarcón, Spain.,Department of Experimental Psychology, Complutense University of Madrid, Pozuelo de Alarcón, Spain.,Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Kjell Heuser
- Department of Neurology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Erik Taubøll
- Department of Neurology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Anne-Kristin Solbakk
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway.,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway.,Department of Neurosurgery, Oslo University Hospital, Oslo, Norway.,Department of Neuropsychology, Helgeland Hospital, Mosjøen, Norway
| | - Ira H Haraldsen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
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50
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Ramírez-Toraño F, García-Alba J, Bruña R, Esteba-Castillo S, Vaquero L, Pereda E, Maestú F, Fernández A. Hypersynchronized Magnetoencephalography Brain Networks in Patients with Mild Cognitive Impairment and Alzheimer's Disease in Down Syndrome. Brain Connect 2021; 11:725-733. [PMID: 33858203 DOI: 10.1089/brain.2020.0897] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Introduction: The majority of individuals with Down syndrome (DS) show signs of Alzheimer's disease (AD) neuropathology in their fourth decade. However, there is a lack of specific markers for characterizing the disease stages while considering this population's differential features. Methods: Forty-one DS individuals participated in the study, and were classified into three groups according to their clinical status: Alzheimer's disease (AD-DS), mild cognitive impairment (MCI-DS), and controls (CN-DS). We performed an exhaustive neuropsychological evaluation and assessed brain functional connectivity (FC) from magnetoencephalographic recordings. Results: Compared with CN-DS, both MCI-DS and AD-DS showed a pattern of increased FC within the high alpha band. The neuropsychological assessment showed a generalized cognitive impairment, especially affecting mnestic functions, in MCI-DS and, more pronouncedly, in AD-DS. Discussion: These findings might help to characterize the AD-continuum in DS. In addition, they support the role of the excitatory/inhibitory imbalance as a key pathophysiological factor in AD. Impact statement The pattern of functional connectivity (FC) hypersynchronization found in this study resembles the largely reported Alzheimer's disease (AD) FC evolution pattern in population with typical development. This study supports the hypothesis of the excitatory/inhibitory imbalance as a key pathophysiological factor in AD, and its conclusions could help in the characterization and prediction of Down syndrome individuals with a greater likelihood of converting to dementia.
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Affiliation(s)
- Federico Ramírez-Toraño
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Javier García-Alba
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Research and Psychology in Education Department, Complutense University of Madrid, Madrid, Spain
| | - Ricardo Bruña
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Susanna Esteba-Castillo
- Specialized Department in Mental Health and Intellectual Disability, Parc Hospitalari Martí i Julià-Institut 'd'Assistència Sanitària, Institut 'd'Assistència Sanitària (IAS), Girona, Spain
| | - Lucía Vaquero
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Department of Legal Medicine, Psychiatry and Pathology, Complutense University of Madrid, Spain
| | - Ernesto Pereda
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Electrical Engineering and Bioengineering Group, Department of Industrial Engineering and IUNE and ITB Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Department of Experimental Psychology, Universidad Complutense de Madrid, Madrid, Spain.,Networking Research Center on Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Alberto Fernández
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology, Technical University of Madrid, Madrid, Spain.,Department of Legal Medicine, Psychiatry and Pathology, Complutense University of Madrid, Spain.,Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
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