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1. An ecological approach to identify distinct neural correlates of disinhibition in frontotemporal dementia

Author

Delphine Tanguy, Bénédicte Batrancourt, Alfonso Estudillo-Romero, John S.H. Baxter, Isabelle Le Ber, Arabella Bouzigues, Valérie Godefroy, Aurélie Funkiewiez, Céline Chamayou, Emmanuelle Volle, Dario Saracino, Armelle Rametti-Lacroux, Xavier Morandi, Pierre Jannin, Richard Levy, and Raffaella Migliaccio

Subjects
Compulsivity, Diffusion tensor imaging, Semi-ecological situation, Social disinhibition, Voxel-based morphometry, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract

Disinhibition is a core symptom of many neurodegenerative diseases, particularly frontotemporal dementia, and is a major cause of stress for caregivers. While a distinction between behavioural and cognitive disinhibition is common, an operational definition of behavioural disinhibition is still missing. Furthermore, conventional assessment of behavioural disinhibition, based on questionnaires completed by the caregivers, often lacks ecological validity. Therefore, their neuroanatomical correlates are non-univocal.In the present work, we used an original behavioural approach in a semi-ecological situation to assess two specific dimensions of behavioural disinhibition: compulsivity and social disinhibition. First, we investigated disinhibition profile in patients compared to controls. Then, to validate our approach, compulsivity and social disinhibition scores were correlated with classic cognitive tests measuring disinhibition (Hayling Test) and social cognition (mini-Social cognition & Emotional Assessment). Finally, we disentangled the anatomical networks underlying these two subtypes of behavioural disinhibition, taking in account the grey (voxel-based morphometry) and white matter (diffusion tensor imaging tractography). We included 17 behavioural variant frontotemporal dementia patients and 18 healthy controls.We identified patients as more compulsive and socially disinhibited than controls. We found that behavioural metrics in the semi-ecological task were related to cognitive performance: compulsivity correlated with the Hayling test and both compulsivity and social disinhibition were associated with the emotion recognition test. Based on voxel-based morphometry and tractography, compulsivity correlated with atrophy in the bilateral orbitofrontal cortex, the right temporal region and subcortical structures, as well as with alterations of the bilateral cingulum and uncinate fasciculus, the right inferior longitudinal fasciculus and the right arcuate fasciculus. Thus, the network of regions related to compulsivity matched the “semantic appraisal” network. Social disinhibition was associated with bilateral frontal atrophy and impairments in the forceps minor, the bilateral cingulum and the left uncinate fasciculus, regions corresponding to the frontal component of the “salience” network.Summarizing, this study validates our semi-ecological approach, through the identification of two subtypes of behavioural disinhibition, and highlights different neural networks underlying compulsivity and social disinhibition. Taken together, these findings are promising for clinical practice by providing a better characterisation of inhibition disorders, promoting their detection and consequently a more adapted management of patients.

Published
2022
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2. Frontotemporal dementia subtypes based on behavioral inhibition deficits

Author

Valérie Godefroy, Delphine Tanguy, Arabella Bouzigues, Idil Sezer, Johan Ferrand‐Verdejo, Carole Azuar, David Bendetowicz, Guilhem Carle, Armelle Rametti‐Lacroux, Stéphanie Bombois, Emmanuel Cognat, Pierre Jannin, Xavier Morandi, Isabelle Le Ber, Richard Levy, Bénédicte Batrancourt, and Raffaella Migliaccio

Subjects
compulsivity, disinhibition, ecological design, frontotemporal dementia, gray matter atrophy, subtypes, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract

Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments.

Published
2021
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3. Exploration Deficits Under Ecological Conditions as a Marker of Apathy in Frontotemporal Dementia

Author

Bénédicte Batrancourt, Karen Lecouturier, Johan Ferrand-Verdejo, Vincent Guillemot, Carole Azuar, David Bendetowicz, Raffaella Migliaccio, Armelle Rametti-Lacroux, Bruno Dubois, and Richard Levy

Subjects
apathy, disinhibition, motivation, frontotemporal lobar degeneration, behavior, neurodegenerative diseases, Neurology. Diseases of the nervous system, RC346-429
Abstract

Apathy is one of the six clinical criteria for the behavioral variant of frontotemporal dementia (bvFTD), and it is almost universal in this disease. Although its consequences in everyday life are debilitating, its underlying mechanisms are poorly known, its assessment is biased by subjectivity and its care management is very limited. In this context, we have developed “ECOCAPTURE,” a method aimed at providing quantifiable and objective signature(s) of apathy in order to assess it and identify its precise underlying mechanisms. ECOCAPTURE consists of the observation and recording of the patient's behavior when the participant is being submitted to a multiple-phase scenario reproducing a brief real-life situation. It is performed in a functional exploration platform transformed into a fully furnished waiting room equipped with a video and sensor-based data acquisition system. This multimodal method allowed video-based behavior analyses according to predefined behavioral categories (exploration behavior, sustained activities or inactivity) and actigraphy analyses from a 3D accelerometer. The data obtained were also correlated with behavioral/cognitive tests and scales assessing global cognitive efficiency, apathy, cognitive disinhibition, frontal syndrome, depression and anxiety. Here, bvFTD patients (n = 14) were compared to healthy participants (n = 14) during the very first minutes of the scenario, when the participants discovered the room and were encouraged to explore it. We showed that, in the context of facing a new environment, healthy participants first explored it and then engaged in sustained activities. By contrast, bvFTD patients were mostly inactive and eventually explored this new place, but in a more irregular and less efficient mode than normal subjects. This exploration deficit was correlated with apathy, disinhibition and cognitive and behavioral dysexecutive syndromes. These findings led us to discuss the presumed underlying mechanisms responsible for the exploration deficit (an inability to self-initiate actions, to integrate reward valuation and to inhibit involuntary behavior). Altogether, these results pave the way for simple and objective assessment of behavioral changes that represents a critical step for the evaluation of disease progression and efficacy of treatment in bvFTD.

Published
2019
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4. Disentangling Clinical Profiles of Apathy in Behavioral Variant Frontotemporal Dementia

Author

Valérie Godefroy, Bénédicte Batrancourt, Sylvain Charron, Arabella Bouzigues, Idil Sezer, David Bendetowicz, Guilhem Carle, Armelle Rametti-Lacroux, Stéphanie Bombois, Emmanuel Cognat, Raffaella Migliaccio, and Richard Levy

Subjects
Psychiatry and Mental health, Clinical Psychology, Cognition, General Neuroscience, Frontotemporal Dementia, Humans, General Medicine, Geriatrics and Gerontology, Atrophy, Neuropsychological Tests, Magnetic Resonance Imaging, Frontal Lobe
Abstract

Background: Apathy is highly frequent in behavioral variant frontotemporal dementia (bvFTD). It is presumed to involve different pathophysiological mechanisms and neuroanatomical regions. Objective: We explored the hypothesis that subgroups showing distinct profiles of apathy and distinct patterns of atrophy within frontal lobes could be disentangled in bvFTD. Methods: Using data-driven clustering applied to 20 bvFTD patients, we isolated subgroups according to their profiles on the three subscales of the Dimensional Apathy Scale (DAS). We explored their apathy profiles and atrophy patterns. Apathy profiles were characterized through both subjective measures of apathy by questionnaires and measures including objective behavioral metrics. Atrophy patterns were obtained by voxel-based morphometry, contrasting each bvFTD subgroup with healthy controls (N = 16). Results: By clustering based on DAS dimensions, we disentangled three subgroups of bvFTD patients, with distinct apathy profiles and atrophy patterns. One subgroup, which presented the smallest pattern of atrophy (including orbitofrontal cortex) with a right asymmetry, was characterized by high self-reported emotional and initiation apathy and by a self-initiation deficit reversible by external guidance. In other subgroups showing more diffuse bilateral atrophies extending to lateral prefrontal cortex, apathy was not reversible by external guidance and more difficulty to focus on goal-management was observed, especially in the subgroup with the largest atrophy and highest levels of executive apathy. Conclusion: Distinct clinical profiles of apathy, corresponding to distinct anatomical subtypes of bvFTD, were identified. These findings have implications for clinicians in a perspective of precision medicine as they could contribute to personalize treatments of apathy.

Published
2022

5. A temporal classification method based on behavior time series data in patients with behavioral variant of frontotemporal dementia and apathy

Author

Caroline Peltier, François-Xavier Lejeune, Lars G.T. Jorgensen, Armelle Rametti-Lacroux, Delphine Tanguy, Valérie Godefroy, David Bendetowicz, Guilhem Carle, Emmanuel Cognat, Stéphanie Bombois, Raffaella Migliaccio, Richard Levy, Frédéric Marin, Bénédicte Batrancourt, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Bourgogne Franche-Comté [COMUE] (UBFC), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Plateforme Chemosens [Dijon], Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon, PROBE Infrasctructure de Recherche (PROBE), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), and BATRANCOURT, Bénédicte

Subjects
Time Factors, Testing session under ecological settings, Time series behavior, General Neuroscience, Apathy, Behavioral variant of frontotemporal dementia, R package, Temporal classification method, [SCCO] Cognitive science, Neuropsychological Tests, Human ethology, Key features of apathetic behaviors, Neuropsychological profiles, ECOCAPTURE kinetics, [SCCO]Cognitive science, Behavioral study encoding time, Behavioral kinetics, Ethological approach, Subject's behavior, Frontotemporal Dementia, Open-source software (OSS), Measuring behavior, Humans
Abstract

International audience; Background Apathy is a common behavioral syndrome that occurs across neurological and psychiatric disorders. An influential theoretical framework defined apathy as the quantitative reduction of self-generated voluntary and purposeful behaviors. There is evidence in the literature of the multidimensional nature of apathy with cognitive, behavioral, and emotional dimensions. To date, apathy has been assessed using various scales and questionnaires. Alternative objective and ecological measurements of apathy are needed. New method We used the ECOCAPTURE protocol and an ethological approach to investigate behavior in bvFTD patients under ecological conditions (a waiting room) while they freely explored a novel environment. Data were collected by behavioral coding from 7-minute video using an ethogram and transformed into behavior time series data. We present an approach considering behavioral kinetics to assess behavior. We aimed to construct a new behavior analysis method, called ECOCAPTURE kinetics, using temporal classification for behavior time series data analysis. To develop our classifier, we retained a nonelastic Euclidian metric, combined with a convolutional approach. Results We applied the ECOCAPTURE kinetics method to a cohort of 20 bvFTD patients and 18 healthy controls. We showed that bvFTD patients can be classified according to their behavioral kinetics into three groups. Each subgroup was characterized by specific behavior disorders and neuropsychological profile. Comparison with Existing Method(s) The ECOCAPTURE kinetics method is different from those of the classical approach of measuring behavior, producing time budgets, frequency of behavior occurrences, or kinematic diagrams. Conclusions This approach can be extended to any behavioral study encoding time.

Published
2022
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6. Functional connectivity correlates of reduced goal-directed behaviors in behavioural variant frontotemporal dementia

Author

Valérie Godefroy, Bénédicte Batrancourt, Sylvain Charron, Arabella Bouzigues, David Bendetowicz, Guilhem Carle, Armelle Rametti-Lacroux, Stéphanie Bombois, Emmanuel Cognat, Raffaella Migliaccio, Richard Levy, Martinez Rico, Clara, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre Hospitalier Sainte Anne [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144))

Subjects
[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Histology, Resting-state functional connectivity, General Neuroscience, Apathy, fMRI, Brain, Ecological design, Magnetic Resonance Imaging, Cognition, Goal-directed behavior, Frontotemporal Dementia, Parietal Lobe, Humans, Anatomy, Goals, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

INTRODUCTION: We explored the resting state functional connectivity correlates of apathy assessed as a multidimensional construct, using behavioral metrics, in behavioral variant frontotemporal dementia (bvFTD).METHODS: We recorded the behavior of 20 bvFTD patients and 16 healthy controls (HC) in a close-to-real-life situation including a free phase (FP – in which actions were self-initiated) and a guided phase (GP – in which initiation of actions was facilitated by external guidance). We investigated the activity time and walking episode features as quantifiers of apathy. We used the means ((FP+GP)/2) and the differences (FP-GP) calculated for these metrics as well as measures by questionnaires to extract apathy dimensions by factor analysis. We assessed two types of connectivity measures (local low-frequency signal power and distant seed-based functional connectivity) and explored their relationship with extracted apathy dimensions. RESULTS: Apathy in bvFTD was associated with lower time spent in activity combined with walking episodes of higher frequency, lower acceleration and higher duration. Using these behavioral metrics and apathy measures by questionnaires, we disentangled two dimensions: the global reduction of goal-directed behaviors and the specific deficit of selfinitiation. Global apathy was associated with lower resting state activity within prefrontal cortex and lower connectivity of salience network hubs while the decrease in self-initiation was related to increased connectivity of parietal default-mode network hubs. DISCUSSION: Through a new dimensional approach of apathy, we dissociated the functional connectivity correlates of global apathy and self-initiation deficit. This contributes to better understand the role of functional networks in the production of goal-directed behaviors.

Published
2022
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7. Reduction of behavioural inhibition disorders in behavioural variant frontotemporal dementia patients observed under semi‐ecological conditions

Author

Delphine Tanguy, Bénédicte Batrancourt, Arabella Bouzigues, Valérie Godefroy, David Bendetowicz, Armelle Rametti‐Lacroux, Stéphanie Bombois, Emmanuel Cognat, Isabelle Le Ber, Xavier Morandi, Pierre Jannin, Richard Levy, and Raffaella Migliaccio

Subjects
Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published
2021
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8. An ecological approach to identify distinct neural correlates of disinhibition in frontotemporal dementia

Author

Delphine Tanguy, Bénédicte Batrancourt, Alfonso Estudillo-Romero, John S.H. Baxter, Isabelle Le Ber, Arabella Bouzigues, Valérie Godefroy, Aurélie Funkiewiez, Céline Chamayou, Emmanuelle Volle, Dario Saracino, Armelle Rametti-Lacroux, Xavier Morandi, Pierre Jannin, Richard Levy, Raffaella Migliaccio, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), This study was funded by the program 'Investissements d’avenir' ANR-10-IAIHU-0006, the 'Fondation pour la recherche médicale', FRM DEQ20150331725, frm.org, and by ENEDIS, enedis.fr., Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Jonchère, Laurent

Subjects
[SDV.IB] Life Sciences [q-bio]/Bioengineering, Semi-ecological situation, Cognitive Neuroscience, Compulsivity, Voxel-based morphometry, Neuropsychological Tests, Social disinhibition, Frontal Lobe, Diffusion Tensor Imaging, Neurology, Frontotemporal Dementia, Humans, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Atrophy
Abstract

International audience; Disinhibition is a core symptom of many neurodegenerative diseases, particularly frontotemporal dementia, and is a major cause of stress for caregivers. While a distinction between behavioural and cognitive disinhibition is common, an operational definition of behavioural disinhibition is still missing. Furthermore, conventional assessment of behavioural disinhibition, based on questionnaires completed by the caregivers, often lacks ecological validity. Therefore, their neuroanatomical correlates are non-univocal. In the present work, we used an original behavioural approach in a semi-ecological situation to assess two specific dimensions of behavioural disinhibition: compulsivity and social disinhibition. First, we investigated disinhibition profile in patients compared to controls. Then, to validate our approach, compulsivity and social disinhibition scores were correlated with classic cognitive tests measuring disinhibition (Hayling Test) and social cognition (mini-Social cognition and Emotional Assessment). Finally, we disentangled the anatomical networks underlying these two subtypes of behavioural disinhibition, taking in account the grey (voxel-based morphometry) and white matter (diffusion tensor imaging tractography). We included 17 behavioural variant frontotemporal dementia patients and 18 healthy controls. We identified patients as more compulsive and socially disinhibited than controls. We found that behavioural metrics in the semi-ecological task were related to cognitive performance: compulsivity correlated with the Hayling test and both compulsivity and social disinhibition were associated with the emotion recognition test. Based on voxel-based morphometry and tractography, compulsivity correlated with atrophy in the bilateral orbitofrontal cortex, the right temporal region and subcortical structures, as well as with alterations of the bilateral cingulum and uncinate fasciculus, the right inferior longitudinal fasciculus and the right arcuate fasciculus. Thus, the network of regions related to compulsivity matched the "semantic appraisal" network. Social disinhibition was associated with bilateral frontal atrophy and impairments in the forceps minor, the bilateral cingulum and the left uncinate fasciculus, regions corresponding to the frontal component of the "salience" network. Summarizing, this study validates our semi-ecological approach, through the identification of two subtypes of behavioural disinhibition, and highlights different neural networks underlying compulsivity and social disinhibition. Taken together, these findings are promising for clinical practice by providing a better characterisation of inhibition disorders, promoting their detection and consequently a more adapted management of patients.

Published
2021
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9. SLITRK2, an X-linked modifier of the age at onset in C9orf72 frontotemporal lobar degeneration

Author

Barbier, Mathieu, Camuzat, Agnès, Hachimi, Khalid El, Guegan, Justine, Rinaldi, Daisy, Lattante, Serena, Houot, Marion, Sánchez-Valle, Raquel, Sabatelli, Mario, Antonell, Anna, Molina-Porcel, Laura, Clot, Fabienne, Couratier, Philippe, van der Ende, Emma, van der Zee, Julie, Manzoni, Claudia, Camu, William, Cazeneuve, Cécile, Sellal, François, Didic, Mira, Golfier, Véronique, Pasquier, Florence, Duyckaerts, Charles, Rossi, Giacomina, Bruni, Amalia C, Alvarez, Victoria, Gómez-Tortosa, Estrella, de Mendonça, Alexandre, Graff, Caroline, Masellis, Mario, Nacmias, Benedetta, Oumoussa, Badreddine Mohand, Jornea, Ludmila, Forlani, Sylvie, Van Deerlin, Viviana, Rohrer, Jonathan D, Gelpi, Ellen, Rademakers, Rosa, Van Swieten, John, Le Guern, Eric, Van Broeckhoven, Christine, Ferrari, Raffaele, Génin, Emmanuelle, Brice, Alexis, Ber, Le, Isabelle Alexis Brice, Sophie, Auriacombe, Serge, Belliard, Anne, Bertrand, Anne, Bissery, Fre ́ de, ́ ric Blanc, Marie-Paule, Boncoeur, Ste, ́ phanie Bombois, Claire Boutoleau-Bretonnie` re, Agne`, s Camuzat, Mathieu, Ceccaldi, Marie, Chupin, Philippe, Couratier, Olivier, Colliot, Vincent, Deramecourt, Mira, Didic, Bruno, Dubois, Charles, Duyckaerts, Fre ́ de, ́ rique Etcharry-Bouyx, Aure, ́ lie Guignebert-Funkiewiez, Maı ̈te, ́ Formaglio, ́ ronique Golfier, Ve, Marie-Odile, Habert, Didier, Hannequin, Lucette, Lacomblez, Julien, Lagarde, ́ raldine Lautrette, Ge, Isabelle Le Ber, Benjamin Le Toullec, Richard, Levy, Marie-Anne, Mackowiak, Bernard-Franc ̧ois Michel, Florence, Pasquier, Thibaud, Lebouvier, Carole Roue, ́ -Jagot, Christel Thauvin- Robinet, Catherine, Thomas-Anterion, Je ́ re, ́ mie Pariente, Franc ̧ois Salachas, Sabrina, Sayah, Franc ̧ois Sellal, Assi-Herve, ́ Oya, Daisy, Rinaldi, Adeline, Rollin-Sillaire, Martine, Vercelletto, David, Wallon, Armelle, Rametti-Lacroux, Raffaele, Ferrari, Hernandez, Dena G., Nalls, Michael A., Rohrer, Jonathan D., Adaikalavan, Ramasamy, Kwok, John B. J., Carol Dobson- Stone, Brooks, William S., Schofield, Peter R., Halliday, Glenda M., Hodges, John R., Olivier, Piguet, Lauren, Bartley, Elizabeth, Thompson, Isabel Herna, ́ ndez, Agustı ́n Ruiz, Merce`, Boada, Barbara, Borroni, Alessandro, Padovani, Carlos, Cruchaga, Cairns, Nigel J., Luisa, Benussi, Giuliano, Binetti, Roberta, Ghidoni, Gianluigi, Forloni, Diego, Albani, Daniela, Galimberti, Chiara, Fenoglio, Maria, Serpente, Elio, Scarpini, ́ n, Jordi Clarimo, Alberto Lleo, ́, Rafael, Blesa, Maria Landqvist Waldo, ̈, Karin, Nilsson, Christer, Nilsson, Mackenzie, Ian R. A., Hsiung, Ging-Yuek R., Mann, David M. A., Jordan, Grafman, Morris, Christopher M., Johannes, Attems, Griffiths, Timothy D., Mckeith, Ian G., Thomas, Alan J., Pietro, Pietrini, Edward, Uey, Wassermann, Eric M., Atik, Baborie, Evelyn, Jaros, Tierney, Michael C., Pau, Pastor, Cristina, Razquin, Sara, Ortega-Cubero, Elena, Alonso, Robert, Perneczky, Janine, Diehl-Schmid, Panagiotis, Alexopoulos, Alexander, Kurz, Rainero, Innocenzo, Rubino, Elisa, Pinessi, Lorenzo, Ekaterina, Rogaeva, Peter St George-Hyslop, Giacomina, Rossi, Fabrizio, Tagliavini, Giorgio, Giaccone, Rowe, James B., Schlachetzki, Johannes C. M., James, Uphill, John, Collinge, Simon, Mead, Adrian, Danek, Van Deerlin, Vivianna M., Murray, Grossman, Trojanowski, John Q., Julie van der Zee, Christine Van Broeckhoven, Cappa, Stefano F., Isabelle, Leber, Alexis, Brice, Benedetta, Nacmias, Sandro, Sorbi, Silvia, Bagnoli, Irene, Piaceri, Nielsen, Jørgen E., Hjermind, Lena E., Matthias, Riemenschneider, Manuel, Mayhaus, Bernd, Ibach, Gilles, Gasparoni, Sabrina, Pichler, Wei, Gu, Rossor, Martin N., Fox, Nick C., Warren, Jason D., Maria Grazia Spillantini, Morris, Huw R., Patrizia, Rizzu, Peter, Heutink, Snowden, Julie S., Sara, Rollinson, Anna, Richardson, Alexander, Gerhard, Bruni, Amalia C., Raffaele, Maletta, Francesca, Frangipane, Chiara, Cupidi, Livia, Bernardi, Maria, Anfossi, Maura, Gallo, Maria Elena Conidi, Nicoletta, Smirne, Rosa, Rademakers, Matt, Baker, Dickson, Dennis W., Graff-Radford, Neill R., Petersen, Ronald C., David, Knopman, Josephs, Keith A., Boeve, Bradley F., Parisi, Joseph E., Seeley, William W., Miller, Bruce L., Karydas, Anna M., Howard, Rosen, van Swieten, John C., Dopper, Elise G. P., Harro, Seelaar, Pijnenburg, Yolande A. L., Philip, Scheltens, Giancarlo, Logroscino, Rosa, Capozzo, Valeria, Novelli, Puca, Annibale A., Massimo, Franceschi, Alfredo, Postiglione, Graziella, Milan, Paolo, Sorrentino, Mark, Kristiansen, Huei-Hsin, Chiang, Caroline, Graff, Adeline, Rollin, Dimitrios, Kapogiannis, Luigi, Ferrucci, Stuart, Pickering-Brown, Singleton, Andrew B., John, Hardy, Parastoo, Momeni., Neurology, Amsterdam Neuroscience - Neurodegeneration, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière] (CIC Paris-Est), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Hôpital Dupuytren [CHU Limoges], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Center for Molecular Neurology (VIB-UAntwerp), University of Antwerp (UA), University College of London [London] (UCL), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service de Neurologie [Hôpitaux Civils de Colmar], Hôpitaux Civils Colmar, Mécanismes Centraux et Périphériques de la Neurodégénérescence, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Yves le Foll, Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Regional Neurogenetic Centre [Lamezia Terme, Italy] (CRN - ASP Catanzaro), Hospital Central de Asturias, Institute of Health Research of Principado de Asturias (ISPA), Fundación Jiménez Díaz, Fundacion Jimenez Diaz [Madrid] (FJD), Faculdade de Medicina [Lisboa], Universidade de Lisboa = University of Lisbon (ULISBOA), Karolinska University Hospital [Stockholm], Sunnybrook Research Institute [Toronto] (SRI), Sunnybrook Health Sciences Centre, Università degli Studi di Firenze = University of Florence (UniFI), Fondazione Don Carlo Gnocchi, Plateforme Post-génomique de la Pitié-Salpêtrière (PASS-P3S), Unité Mixte de Service Production et Analyse de données en Sciences de la vie et en Santé (PASS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Hospital of the University of Pennsylvania (HUP), Perelman School of Medicine, University of Pennsylvania-University of Pennsylvania, Neurodegenerative Brain Diseases group, Department of Molecular Genetics, VIB, Antwerpen, Belgium, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), The French clinical and genetic Research network on FTLD/FTLD-ALS and PREVDEMALS, The International Frontotemporal Dementia Genomics Consortium, The European Early Onset Dementia (EU -EOD) Consortium, Brainbank Neuro-CEB Neuropathology Network, and Neurological Tissue Bank of the Biobank Hospital Clinic-IDIBAPS

Subjects
Adult, Male, TDP-43, C9orf72, SLITRK2, amyotrophic lateral sclerosis, frontotemporal dementia, Nerve Tissue Proteins, Settore MED/03 - GENETICA MEDICA, Polymorphism, Single Nucleotide, Cohort Studies, Genes, X-Linked, 80 and over, Medicine, Dementia, Humans, Allele, Age of Onset, Polymorphism, Aged, Aged, 80 and over, biology, C9orf72 Protein, business.industry, Membrane Proteins, MESH: Frontotemporal Lobar Degeneration / epidemiology, Frontotemporal Lobar, Degeneration / genetics, Genes, X-Linked / genetics, Genome-Wide Association Study / methods, Frontotemporal lobar degeneration, Single Nucleotide, Middle Aged, X-Linked, medicine.disease, Amyotrophic lateral sclerosis, Minor allele frequency, Genes, Immunology, Synaptophysin, biology.protein, Female, MESH: Adult, C9orf72 Protein / genetics, Frontotemporal Lobar Degeneration / diagnosis, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Human medicine, Neurology (clinical), MESH: Humans, Membrane Proteins / genetics, Nerve Tissue Proteins / genetics, Polymorphism, Single Nucleotide / genetics, Age of onset, Frontotemporal Lobar Degeneration, business, Frontotemporal dementia, Genome-Wide Association Study
Abstract

The G4C2-repeat expansion in C9orf72 is the most common cause of frontotemporal dementia and of amyotrophic lateral sclerosis. The variability of age at onset and phenotypic presentations is a hallmark of C9orf72 disease. In this study, we aimed to identify modifying factors of disease onset in C9orf72 carriers using a family-based approach, in pairs of C9orf72 carrier relatives with concordant or discordant age at onset. Linkage and association analyses provided converging evidence for a locus on chromosome Xq27.3. The minor allele A of rs1009776 was associated with an earlier onset (P = 1 × 10−5). The association with onset of dementia was replicated in an independent cohort of unrelated C9orf72 patients (P = 0.009). The protective major allele delayed the onset of dementia from 5 to 13 years on average depending on the cohort considered. The same trend was observed in an independent cohort of C9orf72 patients with extreme deviation of the age at onset (P = 0.055). No association of rs1009776 was detected in GRN patients, suggesting that the effect of rs1009776 was restricted to the onset of dementia due to C9orf72. The minor allele A is associated with a higher SLITRK2 expression based on both expression quantitative trait loci (eQTL) databases and in-house expression studies performed on C9orf72 brain tissues. SLITRK2 encodes for a post-synaptic adhesion protein. We further show that synaptic vesicle glycoprotein 2 and synaptophysin, two synaptic vesicle proteins, were decreased in frontal cortex of C9orf72 patients carrying the minor allele. Upregulation of SLITRK2 might be associated with synaptic dysfunctions and drives adverse effects in C9orf72 patients that could be modulated in those carrying the protective allele. How the modulation of SLITRK2 expression affects synaptic functions and influences the disease onset of dementia in C9orf72 carriers will require further investigations. In summary, this study describes an original approach to detect modifier genes in rare diseases and reinforces rising links between C9orf72 and synaptic dysfunctions that might directly influence the occurrence of first symptoms.

Published
2021
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10. ECOCAPTURE@HOME: Protocol for the Remote Assessment of Apathy and Its Everyday-Life Consequences

Author

Valérie Godefroy, Raffaella Migliaccio, Bénédicte Batrancourt, Richard Levy, Arabella Bouzigues, Armelle Rametti-Lacroux, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), CHU Pitié-Salpêtrière [AP-HP], and HAL-SU, Gestionnaire

Subjects
[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Health, Toxicology and Mutagenesis, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Apathy, sensors, 03 medical and health sciences, Study Protocol, patient-caregiver dyads, 0302 clinical medicine, Quality of life (healthcare), Alzheimer Disease, Surveys and Questionnaires, Ecological psychology, medicine, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Dementia, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], 030212 general & internal medicine, Everyday life, remote monitoring, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Protocol (science), blood volume pulse, Public Health, Environmental and Occupational Health, acceleration, medicine.disease, electrodermal activity, 3. Good health, Observational Studies as Topic, Caregivers, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Quality of Life, Medicine, Observational study, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.IB]Life Sciences [q-bio]/Bioengineering, fronto-temporal dementia, medicine.symptom, Alzheimer's disease, Psychology, 030217 neurology & neurosurgery, Clinical psychology
Abstract

International audience; Apathy, a common neuropsychiatric symptom associated with dementia, has a strong impact on patients’ and caregivers’ quality of life. However, it is still poorly understood and hard to define. The main objective of the ECOCAPTURE programme is to define a behavioural signature of apathy using an ecological approach. Within this program, ECOCAPTURE@HOME is an observational study which aims to validate a method based on new technologies for the remote monitoring of apathy in real life. For this study, we plan to recruit 60 couples: 20 patient-caregiver dyads in which patients suffer from behavioral variant Fronto-Temporal Dementia, 20 patient-caregiver dyads in which patients suffer from Alzheimer Disease and 20 healthy control couples. These dyads will be followed for 28 consecutive days via multi-sensor bracelets collecting passive data (acceleration, electrodermal activity, blood volume pulse). Active data will also be collected by questionnaires on a smartphone application. Using a pool of metrics extracted from these passive and active data, we will validate a measurement model for three behavioural markers of apathy (i.e., daytime activity, quality of sleep, and emotional arousal). The final purpose is to facilitate the follow-up and precise diagnosis of apathy, towards a personalised treatment of this condition within everyday life.

Published
2021
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11. Plasma NfL levels and longitudinal change rates in

Author

Dario, Saracino, Karim, Dorgham, Agnès, Camuzat, Daisy, Rinaldi, Armelle, Rametti-Lacroux, Marion, Houot, Fabienne, Clot, Philippe, Martin-Hardy, Ludmila, Jornea, Carole, Azuar, Raffaella, Migliaccio, Florence, Pasquier, Philippe, Couratier, Sophie, Auriacombe, Mathilde, Sauvée, Claire, Boutoleau-Bretonnière, Jérémie, Pariente, Mira, Didic, Didier, Hannequin, David, Wallon, Olivier, Colliot, Bruno, Dubois, Alexis, Brice, Richard, Levy, and Sylvie, Forlani

Subjects
Adult, Aged, 80 and over, Male, C9orf72 Protein, Amyotrophic Lateral Sclerosis, Middle Aged, Progranulins, Neurofilament Proteins, Frontotemporal Dementia, Disease Progression, Humans, Female, Neurogenetics, Aged
Abstract

Objective Neurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages. Methods We analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical–genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index. Results pNfL levels increased with age in controls, from ~5 to~18 pg/mL (p

Published
2021

12. Frontotemporal dementia subtypes based on behavioral inhibition deficits

Author

Richard Levy, Arabella Bouzigues, Valérie Godefroy, Stéphanie Bombois, Johan Ferrand-Verdejo, Delphine Tanguy, Idil Sezer, Bénédicte Batrancourt, Emmanuel Cognat, Raffaella Migliaccio, David Bendetowicz, Armelle Rametti-Lacroux, Guilhem Carle, Pierre Jannin, Isabelle Le Ber, Xavier Morandi, Carole Azuar, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pontchaillou [Rennes], Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Gestionnaire, Hal Sorbonne Université, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV]Life Sciences [q-bio], Ventromedial prefrontal cortex, disinhibition, frontotemporal dementia, 03 medical and health sciences, 0302 clinical medicine, Atrophy, compulsivity, medicine, RC346-429, 030304 developmental biology, 0303 health sciences, business.industry, Genetic heterogeneity, subtypes, RC952-954.6, Cognition, medicine.disease, [SDV] Life Sciences [q-bio], gray matter atrophy, Psychiatry and Mental health, ecological design, medicine.anatomical_structure, Disinhibition, Geriatrics, Anxiety, Orbitofrontal cortex, Cognitive & Behavioral Assessment, Neurology (clinical), Neurology. Diseases of the nervous system, medicine.symptom, business, Neuroscience, 030217 neurology & neurosurgery, Frontotemporal dementia, Research Article
Abstract

International audience; Introduction: We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits.Methods: We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored.Results: After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD-G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD-G1 (N = 6), bvFTD-G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions.Discussion: Identifying clinico-anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments.

Published
2021
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13. Plasma NfL levels and longitudinal change rates in C9orf72 and GRN-associated diseases: from tailored references to clinical applications

Author

Fabienne Clot, Florence Pasquier, Didier Hannequin, Olivier Colliot, Armelle Rametti-Lacroux, Sophie Auriacombe, Raffaella Migliaccio, Ludmila Jornea, Marion Houot, Agnès Camuzat, Carole Azuar, Alexis Brice, Mathilde Sauvée, Philippe Martin-Hardy, Richard Levy, Philippe Couratier, Isabelle Le Ber, Jérémie Pariente, Claire Boutoleau-Bretonnière, Karim Dorgham, Dario Saracino, Bruno Dubois, Mira Didic, Daisy Rinaldi, Prev-Demals, David Wallon, Predict-PGRN study groups, Ftd-Als, Sylvie Forlani, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Lille 2 - Faculté de Médecine, CHU Limoges, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire [Grenoble] (CHU), CIC - Nantes, Université de Nantes (UN)-IFR26-Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Hôpital de la Timone [CHU - APHM] (TIMONE), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), The research leading to these results received funding from the ’Investissements d’avenir’ ANR-11- INBS-0011. This work was partially funded by the Programme Hospitalier de Recherche Clinique (PHRC) Predict- PGRN (to ILB, promotion by Assistance Publique–Hôpitaux de Paris), the PHRC FTLD- exome (to ILB, promotion by Assistance Publique–Hôpitaux de Paris), by the ANR- PRTS PREV- DEMALS project (to ILB, grant number ANR-14- CE15-0016-07, promotion by Assistance Publique–Hôpitaux de Paris) and the Fondation Vaincre Alzheimer (to ILB, grant number FR-17035)., ANR-11-INBS-0011,NeurATRIS,Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences(2011), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Immunologie et des Maladies Infectieuses (CIMI), Faculté de Médecine Henri Warembourg - Université de Lille, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Saracino, Dario, Infrastructures - Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences - - NeurATRIS2011 - ANR-11-INBS-0011 - INBS - VALID, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées

Subjects
Oncology, 0303 health sciences, medicine.medical_specialty, business.industry, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Disease progression, Youden's J statistic, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, medicine.disease, Therapeutic trial, 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, C9orf72, Internal medicine, Medicine, Biomarker (medicine), Surgery, Neurology (clinical), Amyotrophic lateral sclerosis, business, Trial registration, 030217 neurology & neurosurgery, 030304 developmental biology, Frontotemporal dementia
Abstract

ObjectiveNeurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages.MethodsWe analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical–genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index.ResultspNfL levels increased with age in controls, from ~5 to~18 pg/mL (pGRN patients had higher levels than C9orf72 (86.21 vs 39.49 pg/mL, p=0.014), and greater progression rates (ARC:+29.3% vs +24.7%; p=0.016). In C9orf72 patients, levels were associated with the phenotype (ALS: 71.76 pg/mL, FTD: 37.16, psychiatric: 15.3; p=0.003) and remarkably lower in slowly progressive patients (24.11, ARC: +2.5%; p=0.05). Mean ARC was +3.2% in PS and +7.3% in prodromal carriers. We proposed gene-specific cut-offs differentiating patients from controls by decades.ConclusionsThis study highlights the importance of gene-specific and age-specific references for clinical and therapeutic trials in genetic FTD/ALS. It supports the usefulness of repeating pNfL measurements and considering ARC as a prognostic marker of disease progression.Trial registration numbersNCT02590276 and NCT04014673.

Published
2021
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14. Identification of subtypes for the behavioral variant of frontotemporal dementia based on the assessment of disinhibition and compulsion

Author

Isabelle Le Ber, Arabella Bouzigues, Valérie Godefroy, Carole Azuar, Raffaella Migliaccio, Armelle Rametti-Lacroux, Idil Sezer, Delphine Tanguy, Richard Levy, Guilhem Carle, David Bendetowicz, and Bénédicte Batrancourt

Subjects
Epidemiology, Behavioral neurology, business.industry, Health Policy, Neuropsychiatry, medicine.disease, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Disinhibition, medicine, Identification (biology), Neurology (clinical), Geriatrics and Gerontology, medicine.symptom, business, Frontotemporal dementia, Clinical psychology
Published
2020
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15. Association of Clinical, Biological, and Brain Magnetic Resonance Imaging Findings With Electroencephalographic Findings for Patients With COVID-19

Author

Virginie, Lambrecq, Aurélie, Hanin, Esteban, Munoz-Musat, Lydia, Chougar, Salimata, Gassama, Cécile, Delorme, Louis, Cousyn, Alaina, Borden, Maria, Damiano, Valerio, Frazzini, Gilles, Huberfeld, Frank, Landgraf, Vi-Huong, Nguyen-Michel, Phintip, Pichit, Aude, Sangare, Mario, Chavez, Capucine, Morélot-Panzini, Elise, Morawiec, Mathieu, Raux, Charles-Edouard, Luyt, Pierre, Rufat, Damien, Galanaud, Jean-Christophe, Corvol, Catherine, Lubetzki, Benjamin, Rohaut, Sophie, Demeret, Nadya, Pyatigorskaya, Lionel, Naccache, Vincent, Navarro, Safia, Said, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurophysiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Service de Pneumologie et Réanimation Médicale [CHU Pitié-Salpêtrière] (Département ' R3S '), Service d'Anesthésie réanimation [CHU Pitié-Salpêtrière], Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut de cardiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Service de Cardiologie [CHU Pitié-Salpêtrière], Service de Département d'Information Médicale [CHU Pitié-Salpêtrière] (DIM), Unité fonctionnelle d'épilepsie [CHU Pitié-Salpêtrière], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-IFR70-CHU Pitié-Salpêtrière [AP-HP], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Département Médico-Universitaire Neurosciences [Sorbonne Université] (DMU Neurosciences), CHU Charles Foix [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), Service de Pneumologie - R3S [CHU Pitié-Salpêtrière] (SPMIR-R3S), Département Médico-Universitaire réanimation anesthésie médecine péri-opératoire [Sorbonne Université] (DMU DREAM), CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Groupe de recherche clinique en anesthésie réanimation médecine périopératoire [CHU Pitié-Salpétrière] (GRC ARPE), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), Département de Biostatistique, Santé Publique et Information Médicale [CHU Pitié-Salpêtrière] (BIOSPIM ), Centre de référence des épilepsies rares [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-IFR70-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Service de Neurologie [CHU Pitié-Salpêtrière], Cohort COVID-19 Neurosciences (CoCo Neurosciences) Study Group: Jean-Yves Delattre, Stephanie Carvalho, Sandrine Sagnes, Bruno Dubois, Celine Louapre, Tanya Stojkovic, Ahmed Idbaih, Charlotte Rosso, David Grabli, Ana Zenovia Gales, Bruno Millet, Eleonore Bayen, Sophie Dupont, Gaelle Bruneteau, Stephane Lehericy, Danielle Seilhean, Alexandra Durr, Aurelie Kas, Foudil Lamari, Marion Houot, Vanessa Batista Brochard, Pascale Pradat-Diehl, Khe Hoang-Xuan, Bertrand Fontaine, Philippe Fossati, Isabelle Arnulf, Alexandre Carpentier, Yved Edel, Anna Luisa Di Stefano, Gilberte Robain, Philippe Thoumie, Bertrand Degos, Tarek Sharshar, Sonia Alamowitch, Emmanuelle Apartis-Bourdieu, Charles-Siegried Peretti, Renata Ursu, Nathalie Dzierzynski, Kiyoka Kinugawa Bourron, Joel Belmin, Bruno Oquendo, Eric Pautas, Marc Verny, Yves Samson, Sara Leder, Anne Leger, Sandrine Deltour, Flore Baronnet, Stéphanie Bombois, Mehdi Touat, Caroline Dehais, Caroline Houillier, Florence Laigle-Donadey, Dimitri Psimaras, Agusti Alentorn, Nadia Younan, Nicolas Villain, Maria Del Mar Amador, Louise-Laure Mariani, Nicolas Mezouar, Graziella Mangone, Aurélie Meneret, Andreas Hartmann, Clément Tarrano, David Bendetowicz, Pierre-Francois Pradat, Michel Baulac, Sara Sambin, Florence Chochon, Adele Hesters, Bastien Herlin, An Hung Nguyen, Valérie Procher, Alexandre Demoule, Julien Mayaux, Morgane Faure, Claire Ewenczyk, Giulia Coarelli, Anna Heinzmann, Perrine Charles, Marion Masingue, Guillaume Bassez, Isabelle An, Yulia Worbe, Rabab Debs, Timothee Lenglet, Natalia Shor, Delphine Leclercq, Albert Cao, Clémence Marois, Nicolas Weiss, Loic Le Guennec, Vincent Degos, Alice Jacquens, Thomas Similowski, Jean-Yves Rotge, Bertrand Saudreau, Victor Pitron, Nassim Sarni, Nathalie Girault, Redwan Maatoug, Smaranda Leu, Lionel Thivart, Karima Mokhtari, Isabelle Plu, Bruno Goncalves, Laure Bottin, Marion Yger, Gaelle Ouvrard, Rebecca Haddad, Flora Ketz, Carmelo Lafuente, Christel Oasi, Bruno Megarbane, Dominique Herve, Haysam Salman, Armelle Rametti-Lacroux, Alize Chalancon, Anais Herve, Hugo Royer, Florence Beauzor, Valentine Maheo, Christelle Laganot, Camille Minelli, Aurélie Fekete, Abel Grine, Marie Biet, Rania Hilab, Aurore Besnard, Meriem Bouguerra, Gwen Goudard, Saida Houairi, Saba Al-Youssef, Christine Pires, Anissa Oukhedouma, Katarzyna Siuda-Krzywicka, Tal Seidel Malkinson, Hanane Agguini, Hassen Douzane Agguini, Safia Said, Raux, Mathieu, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), and HAL-SU, Gestionnaire

Subjects
Male, [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Brain Diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, SARS-CoV-2, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Research, [SDV]Life Sciences [q-bio], COVID-19, Electroencephalography, Middle Aged, Magnetic Resonance Imaging, Cohort Studies, [SDV] Life Sciences [q-bio], Online Only, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Infectious Diseases, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Electronic Health Records, Humans, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Original Investigation
Abstract

Key Points Question Can electroencephalography (EEG), combined with clinical, biological, and magnetic resonance imaging (MRI) analyses, help to better characterize patients with neurologic coronavirus disease 2019 (COVID-19) and diagnose specific COVID-19–related encephalopathy? Findings Neurologic manifestations, biological findings, EEG findings, and brain MRI images were analyzed in a cohort study of 78 adult patients with COVID-19. Nine patients had no identified cause of brain injury, as revealed by biological and MRI findings; their injury was defined as COVID-19–related encephalopathy. Meaning This study suggests that, although neurologic manifestations, EEG findings, and MRI findings may appear heterogeneous and nonspecific, multimodal monitoring may better identify patients with COVID-19–related encephalopathy and guide treatment strategy., Importance There is evidence of central nervous system impairments associated with coronavirus disease 2019 (COVID-19) infection, including encephalopathy. Multimodal monitoring of patients with COVID-19 may delineate the specific features of COVID-19–related encephalopathy and guide clinical management. Objectives To investigate clinical, biological, and brain magnetic resonance imaging (MRI) findings in association with electroencephalographic (EEG) features for patients with COVID-19, and to better refine the features of COVID-19–related encephalopathy. Design, Setting, and Participants This retrospective cohort study conducted in Pitié-Salpêtrière Hospital, Paris, France, enrolled 78 hospitalized adults who received a diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-Cov2) and underwent EEG between March 30 and June 11, 2020. Exposures Detection of SARS-CoV-2 from a nasopharyngeal specimen using a reverse transcription–polymerase chain reaction assay or, in the case of associated pneumonia, on a computed tomography scan of the chest. Main Outcomes and Measures Data on the clinical and paraclinical features of the 78 patients with COVID-19 were retrieved from electronic patient records. Results Of 644 patients who were hospitalized for COVID-19, 78 (57 men [73%]; mean [SD] age, 61 [12] years) underwent EEG. The main indications for EEG were delirium, seizure-like events, and delayed awakening in the intensive care unit after stopping treatment with sedatives. Sixty-nine patients showed pathologic EEG findings, including metabolic-toxic encephalopathy features, frontal abnormalities, periodic discharges, and epileptic activities. Of 57 patients who underwent brain MRI, 41 showed abnormalities, including perfusion abnormalities, acute ischemic lesions, multiple microhemorrhages, and white matter–enhancing lesions. Fifty-five patients showed biological abnormalities, including dysnatremia, kidney failure, and liver dysfunction, the same day as the EEG. The results of cerebrospinal fluid analysis were negative for SARS-Cov-2 for all tested patients. Nine patients who had no identifiable cause of brain injury outside COVID-19 were further isolated; their brain injury was defined as COVID-19–related encephalopathy. They represented 1% (9 of 644) of patients with COVID-19 requiring hospitalization. Six of these 9 patients had movement disorders, 7 had frontal syndrome, 4 had brainstem impairment, 4 had periodic EEG discharges, and 3 had MRI white matter–enhancing lesions. Conclusions and Relevance The results from this cohort of patients hospitalized with COVID-19 suggest there are clinical, EEG, and MRI patterns that could delineate specific COVID-19–related encephalopathy and guide treatment strategy., This cohort study investigates clinical, biological, and brain magnetic resonance imaging (MRI) findings in association with electroencephalographic (EEG) features for patients with coronavirus disease 2019 (COVID-19) and refines the features of COVID-19–related encephalopathy.

Published
2021
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