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6. Association of cerebrospinal fluid α-synuclein with total and phospho-tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Author

Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P.A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M.O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M.C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M.C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Aguilar, L.F., Babiloni, C., Benda, N., Black, K.L., Bokde, A.L.W., Bonuccelli, U., Broich, K., Bun, R.S., Cacciola, F., Castrillo, J., Ceravolo, R., Coman, C.M., Corvol, J.C., Cuello, A.C., Cummings, J.L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Ferretti, M.T., Fiandaca, M., Frank, R.A., Garaci, F., George, N., Giorgi, F.S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S.H., Koronyo, Y., Koronyo-Hamaoui, M., Lamari, F., Langevin, T., Lehéricy, S., Lorenceau, J., Mapstone, M., Neri, C., Nisticò, R., Nyasse-Messene, F., O'Bryant, S.E., Perry, G., Ritchie, C., Rossi, S., Santarnecchi, E., Schneider, L.S., Sporns, O., Toschi, N., Verdooner, S.R., Vergallo, A., Villain, N., Welikovitch, L., Woodcock, J., Younesi, E., Vergallo, Andrea, Bun, René-Sosata, Toschi, Nicola, Baldacci, Filippo, Zetterberg, Henrik, Blennow, Kaj, Cavedo, Enrica, Lamari, Foudil, Habert, Marie-Odile, Dubois, Bruno, Floris, Roberto, Garaci, Francesco, Lista, Simone, and Hampel, Harald

Published
2018
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12. Enhancement of semantic integration reasoning by tRNS

Author

Sprugnoli, G, Rossi, S, Liew, S, Bricolo, E, Costantini, G, Salvi, C, Golby, A, Musaeus, C, Pascual-Leone, A, Rossi, A, Santarnecchi, E, Sprugnoli G., Rossi S., Liew S. L., Bricolo E., Costantini G., Salvi C., Golby A. J., Musaeus C. S., Pascual-Leone A., Rossi A., Santarnecchi E., Sprugnoli, G, Rossi, S, Liew, S, Bricolo, E, Costantini, G, Salvi, C, Golby, A, Musaeus, C, Pascual-Leone, A, Rossi, A, Santarnecchi, E, Sprugnoli G., Rossi S., Liew S. L., Bricolo E., Costantini G., Salvi C., Golby A. J., Musaeus C. S., Pascual-Leone A., Rossi A., and Santarnecchi E.

Abstract

The right hemisphere is involved with the integrative processes necessary to achieve global coherence during reasoning and discourse processing. Specifically, the right temporal lobe has been proven to facilitate the processing of distant associate relationships, such as generating novel ideas. Previous studies showed a specific swing of alpha and gamma oscillatory activity over the right parieto-occipital lobe and the right anterior temporal lobe respectively, when people solve semantic problems with a specific strategy, i.e., insight problem-solving. In this study, we investigated the specificity of the right parietal and temporal lobes for semantic integration using transcranial Random Noise Stimulation (tRNS). We administered a set of pure semantics (i.e., Compound Remote Associates [CRA]) and visuo-semantic problems (i.e., Rebus Puzzles) to a sample of 31 healthy volunteers. Behavioral results showed that tRNS stimulation over the right temporal lobe enhances CRA accuracy (+12%), while stimulation on the right parietal lobe causes a decrease of response time on the same task (−2,100 ms). No effects were detected for Rebus Puzzles. Our findings corroborate the involvement of the right temporal and parietal lobes when solving purely semantic problems but not when they involve visuo-semantic material, also providing causal evidence for their postulated different roles in the semantic integration process and promoting tRNS as a candidate tool to boost verbal reasoning in humans.

Published
2021

13. Toward noninvasive brain stimulation 2.0 in Alzheimer's disease

Author

Menardi, A., Rossi, S., Koch, G., Hampel, H., Vergallo, A., Nitsche, M. A., Stern, Y., Borroni, B., Cappa, S. F., Cotelli, Maria, Ruffini, G., El-Fakhri, G., Rossini, P. M., Dickerson, B., Antal, A., Babiloni, C., Lefaucheur, J. -P., Dubois, B., Deco, G., Ziemann, U., Pascual-Leone, A., Santarnecchi, E., Cotelli M., Menardi, A., Rossi, S., Koch, G., Hampel, H., Vergallo, A., Nitsche, M. A., Stern, Y., Borroni, B., Cappa, S. F., Cotelli, Maria, Ruffini, G., El-Fakhri, G., Rossini, P. M., Dickerson, B., Antal, A., Babiloni, C., Lefaucheur, J. -P., Dubois, B., Deco, G., Ziemann, U., Pascual-Leone, A., Santarnecchi, E., and Cotelli M.

Abstract

Noninvasive brain stimulation techniques (NiBS) have gathered substantial interest in the study of dementia, considered their possible role in help defining diagnostic biomarkers of altered neural activity for early disease detection and monitoring of its pathophysiological course, as well as for their therapeutic potential of boosting residual cognitive functions. Nevertheless, current approaches suffer from some limitations. In this study, we review and discuss experimental NiBS applications that might help improve the efficacy of future NiBS uses in Alzheimer's Disease (AD), including perturbation-based biomarkers for early diagnosis and disease tracking, solutions to enhance synchronization of oscillatory electroencephalographic activity across brain networks, enhancement of sleep-related memory consolidation, image-guided stimulation for connectome control, protocols targeting interneuron pathology and protein clearance, and finally hybrid-brain models for in-silico modeling of AD pathology and personalized target selection. The present work aims to stress the importance of multidisciplinary, translational, model-driven interventions for precision medicine approaches in AD.

Published
2022

14. Aptamarker prediction of brain amyloid-β status in cognitively normal individuals at risk for Alzheimer’s disease

Author

Penner, G, Lecocq, S, Chopin, A, Vedoya, X, Lista, S, Vergallo, A, Cavedo, E, Lejeune, F, Dubois, B, Hampel, H, Bakardjian, H, Benali, H, Bertin, H, Bonheur, J, Boukadida, L, Boukerrou, N, Chiesa, Pa, Colliot, O, Dubois, M, Epelbaum, S, Gagliardi, G, Genthon, R, Habert, M, Houot, M, Kas, A, Lamari, F, Levy, M, Metzinger, C, Mochel, F, Nyasse, F, Poisson, C, Potier, M, Revillon, M, Santos, A, Andrade, Ks, Sole, M, Surtee, M, de Schotten, Mt, Younsi, N, Afshar, M, Aguilar, Lf, Akman-Anderson, L, Aremas, J, Avila, J, Babiloni, C, Baldacci, F, Batrla, R, Benda, N, Black, Kl, Bokde, Alw, Bonuccelli, U, Broich, K, Cacciola, F, Caraci, F, Caruso, G, Castrillo, J, Ceravolo, R, Corbo, M, Corvol, J, Cuello, Ac, Cummings, Jl, Depypere, H, Duggento, A, Emanuele, E, Escott-Price, V, Federoff, H, Ferretti, Mt, Fiandaca, M, Frank, Ra, Garaci, F, Geerts, H, Giacobini, E, Giorgi, Fs, Goetzl, Ej, Graziani, M, Haberkamp, M, Hanisch, B, Herholz, K, Hernandez, F, Imbimbo, Bp, Kapogiannis, D, Karran, E, Kiddle, Sj, Kim, Sh, Koronyo, Y, Koronyo-Hamaoui, M, Langevin, T, Lehericy, S, Lemercier, P, Llavero, F, Lorenceau, J, Lucia, A, Mango, D, Mapstone, M, Neri, C, Nistico, R, O'Bryant, Se, Palermo, G, Perry, G, Ritchie, C, Rossi, S, Saidi, A, Santarnecchi, E, Schneider, Ls, Sporns, O, Toschi, N, Valenzuela, Pl, Vellas, B, Verdooner, Sr, Villain, N, Giudici, Kv, Watling, M, Welikovitch, La, Woodcock, J, Younesi, E, Zugaza, Jl, Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), 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), 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], 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)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Gasset, Maria

Subjects
Male, Aging, Amyloid β, MESH: SELEX Aptamer Technique, [SDV]Life Sciences [q-bio], Oligonucleotides, Artificial Gene Amplification and Extension, Disease, Neurodegenerative, Alzheimer's Disease, Pathology and Laboratory Medicine, Biochemistry, Polymerase Chain Reaction, Diagnostic Radiology, Negative selection, Medical Conditions, Mathematical and Statistical Techniques, 0302 clinical medicine, MESH: Aged, 80 and over, MESH: Early Diagnosis, 80 and over, Medicine and Health Sciences, Biomarker discovery, Tomography, Aged, 80 and over, MESH: Aged, screening and diagnosis, 0303 health sciences, Multidisciplinary, Nucleotides, Mathematical Models, Radiology and Imaging, SELEX Aptamer Technique, Settore MED/37 - Neuroradiologia, Neurodegenerative Diseases, MESH: Case-Control Studies, MESH: Amyloid beta-Peptides, Detection, Neurology, Neurological, Medicine, Biomedical Imaging, Female, Biotechnology, 4.2 Evaluation of markers and technologies, Research Article, Amyloid, General Science & Technology, Imaging Techniques, Science, Aptamer, Neuroimaging, and over, Computational biology, Biology, Research and Analysis Methods, 03 medical and health sciences, Clinical Research, Diagnostic Medicine, Alzheimer Disease, Mental Health and Psychiatry, Acquired Cognitive Impairment, Humans, Risk factor, Molecular Biology Techniques, Molecular Biology, Aged, 030304 developmental biology, Amyloid beta-Peptides, MESH: Humans, Prevention, Neurosciences, Alzheimer Precision Medicine Initiative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Biology and Life Sciences, Omics, MESH: Male, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, Early Diagnosis, Case-Control Studies, MESH: Biomarkers, Dementia, INSIGHT-preAD study group, MESH: Female, Biomarkers, Positron Emission Tomography, 030217 neurology & neurosurgery, MESH: Alzheimer Disease, Neuroscience
Abstract

International audience; The traditional approach to biomarker discovery for any pathology has been through hypothesis-based research one candidate at a time. The objective of this study was to develop an agnostic approach for the simultaneous screening of plasma for consistent molecular differences between a group of individuals exhibiting a pathology and a group of healthy individuals. To achieve this, we focused on developing a predictive tool based on plasma for the amount of brain amyloid-β deposition as observed in PET scans. The accumulation of brain amyloid-β (Aβ) plaques is a key risk factor for the development of Alzheimer's disease. A contrast was established between cognitively normal individuals above the age of 70 that differed for the amount of brain amyloid-β observed in PET scans (INSIGHT study group). Positive selection was performed against a pool of plasma from individuals with high brain amyloid and negative selection against a pool of plasma from individuals with low brain amyloid This enriched, selected library was then applied to plasma samples from 11 individuals with high levels of brain amyloid and 11 individuals with low levels of brain Aβ accumulation. Each of these individually selected libraries was then characterized by next generation sequencing, and the relative frequency of 10,000 aptamer sequences that were observed in each selection was screened for ability to explain variation in brain amyloid using sparse partial least squares discriminant analysis. From this analysis a subset of 44 aptamers was defined, and the individual aptamers were synthesized. This subset was applied to plasma samples from 70 cognitively normal individuals all above the age of 70 that differed for brain amyloid deposition. 54 individuals were used as a training set, and 15 as a test set. Three of the 15 individuals in the test set were mis-classified resulting in an overall accuracy of 80% with 86% sensitivity and 75% specificity. The aptamers included in the subset serve directly as biomarkers, thus we have named them Aptamarkers. There are two potential applications of these results: extending the predictive capacity of these aptamers across a broader range of individuals, and/or using the individual aptamers to identify targets through covariance analysis and reverse omics approaches. We are currently expanding applications of the Aptamarker platform to other diseases and target matrices.

Published
2021

15. Gamma-induction in frontotemporal dementia (GIFTeD) randomized placebo-controlled trial: Rationale, noninvasive brain stimulation protocol, and study design

Author

Assogna, M, Sprugnoli, G, Press, D, Dickerson, B, Macone, J, Bonnì, S, Borghi, I, Connor, A, Hoffman, M, Grover, N, Wong, B, Shen, C, Martorana, A, O'Reilly, M, Ruffini, G, El Fakhri, G, Koch, G, and Santarnecchi, E

Subjects
40 Hz, FDG, FTD, behavioral variant, brain stimulation, bvFTD, controlled clinical trial, dementia, frontotemporal dementia, gamma frequency, inhibitory interneurons, somatostatin, tACS, transcranial alternating current stimulation, RC952-954.6, Settore MED/26, NO, 40 Hz, behavioral variant, brain stimulation, bvFTD, controlled clinical trial, dementia, FDG, frontotemporal dementia, FTD, gamma frequency, inhibitory interneurons, somatostatin, tACS, transcranial alternating current stimulation, Psychiatry and Mental health, Geriatrics, Neurology. Diseases of the nervous system, Neurology (clinical), RC346-429
Abstract

Introduction Frontotemporal dementia (FTD) is a neurodegenerative disorder for which there is no effective pharmacological treatment. Recently, interneuron activity responsible for fast oscillatory brain activity has been found to be impaired in a mouse model of FTD with consequent cognitive and behavioral alterations. In this study, we aim to investigate the safety, tolerability, and efficacy of a novel promising therapeutic intervention for FTD based on 40 Hz transcranial alternating current stimulation (tACS), a form of non‐invasive brain stimulation thought to engage neural activity in a frequency‐specific manner and thus suited to restore altered brain oscillatory patterns. Methods This is a multi‐site, randomized, double‐blind, placebo‐controlled trial on 50 patients with a diagnosis of behavioral variant FTD (bvFTD). Participants will be randomized to undergo either 30 days of 1‐hour daily tACS or Sham (placebo) tACS. The outcomes will be assessed at baseline, right after the intervention and at a 3‐ to 6‐months follow‐up. The primary outcome measures are represented by the safety and feasibility of tACS administration, which will be assessed considering the nature, frequency, and severity of adverse events as well as attrition rate, respectively. To assess secondary outcomes, participants will undergo extensive neuropsychological and behavioral assessments and fluorodeoxyglucose (FDG)–positron emission tomography (PET) scans to evaluate changes in brain metabolism, functional and structural magnetic resonance imaging (MRI), resting and evoked electroencephalography, as well as blood biomarkers to measure changes in neurodegenerative and neuroinflammatory markers. Results The trial started in October 2020 and will end in October 2023. Study protocols have been approved by the local institutional review board (IRB) at each data‐collection site. Discussion This study will evaluate the safety and tolerability of 40 Hz tACS in bvFTD patients and its efficacy on gamma oscillatory activity, cognitive function, and brain glucose hypometabolism.

Published
2021

16. Training in the practice of noninvasive brain stimulation: Recommendations from an IFCN committee

Author

Fried, PJ, Santarnecchi, E, Antal, A, Bartres-Faz, D, Bestmann, S, Carpenter, LL, Celnik, P, Edwards, D, Farzan, F, Fecteau, S, George, MS, He, B, Kim, YH, Leocani, L, Lisanby, SH, Loo, C, Luber, B, Nitsche, MA, Paulus, W, Rossi, S, Rossini, PM, Rothwell, J, Sack, AT, Thut, G, Ugawa, Y, Ziemann, U, Hallett, M, Pascual-Leone, A, Fried, PJ, Santarnecchi, E, Antal, A, Bartres-Faz, D, Bestmann, S, Carpenter, LL, Celnik, P, Edwards, D, Farzan, F, Fecteau, S, George, MS, He, B, Kim, YH, Leocani, L, Lisanby, SH, Loo, C, Luber, B, Nitsche, MA, Paulus, W, Rossi, S, Rossini, PM, Rothwell, J, Sack, AT, Thut, G, Ugawa, Y, Ziemann, U, Hallett, M, and Pascual-Leone, A

Abstract

As the field of noninvasive brain stimulation (NIBS) expands, there is a growing need for comprehensive guidelines on training practitioners in the safe and effective administration of NIBS techniques in their various research and clinical applications. This article provides recommendations on the structure and content of this training. Three different types of practitioners are considered (Technicians, Clinicians, and Scientists), to attempt to cover the range of education and responsibilities of practitioners in NIBS from the laboratory to the clinic. Basic or core competencies and more advanced knowledge and skills are discussed, and recommendations offered regarding didactic and practical curricular components. We encourage individual licensing and governing bodies to implement these guidelines.

Published
2021

19. Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease

Author

Chiesa P. A., Cavedo E., Vergallo A., Lista S., Potier M. -C., Habert M. -O., Dubois B., Thiebaut de Schotten M., Hampel H., Audrain C., Auffret A., Bakardjian H., Baldacci F., Batrancourt B., Benakki I., Benali H., Bertin H., Bertrand A., Boukadida L., Cacciamani F., Causse V., Cherif Touil S., Colliot O., Dalla Barba G., Depaulis M., Dos Santos A., Dubois M., Epelbaum S., Fontaine B., Francisque H., Gagliardi G., Genin A., Genthon R., Glasman P., Gombert F., Habert M. O., Hewa H., Houot M., Jungalee N., Kas A., Kilani M., La Corte V., Le Roy F., Lehericy S., Letondor C., Levy M., Lowrey M., Ly J., Makiese O., Masetti I., Mendes A., Metzinger C., Michon A., Mochel F., Nait Arab R., Nyasse F., Perrin C., Poirier F., Poisson C., Potier M. C., Ratovohery S., Revillon M., Rojkova K., Santos-Andrade K., Schindler R., Servera M. C., Seux L., Simon V., Skovronsky D., Uspenskaya O., Vlaincu M., Aguilar L. F., Babiloni C., Benda N., Black K. L., Bokde A. L. W., Bonuccelli U., Broich K., Cacciola F., Castrillo J., Ceravolo R., Corvol J. -C., Claudio Cuello A., Cummings J. L., Depypere H., Duggento A., Durrleman S., Escott-Price V., Federoff H., Teresa Ferretti M., Fiandaca M., Frank R. A., Garaci F., Geerts H., George N., Giorgi F. S., Graziani M., Haberkamp M., Herholz K., Karran E., Kim S. H., Koronyo Y., Koronyo-Hamaoui M., Lamari F., Langevin T., Lorenceau J., Mango D., Mapstone M., Neri C., Nistico R., O'Bryant S. E., Palermo G., Perry G., Ritchie C., Rossi S., Saidi A., Santarnecchi E., Schneider L. S., Sporns O., Toschi N., Verdooner S. R., Villain N., Welikovitch L. A., Woodcock J., Younesi E., 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], 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 Neuroradiologie [CHU Pitié-Salpêtrière], 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), Treat SVD, Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), sans affiliation, Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), 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), 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)-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)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Service de médecine nucléaire [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre des Maladies Cognitives et Comportementales [Paris], Fraunhofer Center for Assistive Information and Communication Solutions [Porto] (Fraunhofer AICOS), Fraunhofer (Fraunhofer-Gesellschaft), Ariana Pharmaceuticals, McGill University = Université McGill [Montréal, Canada], Universidad Autonoma de Madrid (UAM), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], University of Pisa - Università di Pisa, Federal Institute of Drugs and Medical Devices [Bonn], Discipline of Psychiatry [Dublin], School of Medicine [Dublin], Trinity College Dublin-Trinity College Dublin, Universita degli Studi di Messina, University of Catania [Italy], University of Cambridge [UK] (CAM), Lou Ruvo Center for Brain Health [Las Vegas], Cleveland Clinic, Università degli Studi di Roma Tor Vergata [Roma], University of Pavia, Cardiff University, Universität Zürich [Zürich] = University of Zurich (UZH), University of California [Irvine] (UCI), University of California, Siemens Healthineers, Digital Services, Digital Technology and Innovation, In Silico Biosciences (ISB), Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), University of California [San Francisco] (UCSF), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Manchester [Manchester], National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Abbvie Inc. [North Chicago], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University of Britsh Columbia [Vancouver], Cedars-Sinai Medical Center, Functional Neuromodulation, CIBER de Enfermedades Raras (CIBERER), Institut de la Vision, Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), European Brain Research Institute [Rome, Italy] (EBRI), Adaptation Biologique et Vieillissement = Biological Adaptation and Ageing (B2A), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institute for Aging and Alzheimer’s Disease Research [Fort Worth] (IAADR), University of North Texas Health Science Center [Fort Worth], University of Auckland [Auckland], University of Edinburgh, Università degli Studi di Siena = University of Siena (UNISI), Harvard Medical School [Boston] (HMS), Keck School of Medicine [Los Angeles], University of Southern California (USC), Indiana State University, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), NeuroVision Imaging, Fondation pour la Recherche sur Alzheimer, Center for Drug Evaluation and Research (CDER), European Society for Translational Medicine (EUSTM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service d'Explorations Fonctionnelles Neurologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de médecine nucléaire [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Fraunhofer AICOS [Porto], McGill University, Sapienza University [Rome], University of Zürich [Zürich] (UZH), Università degli Studi di Roma 'La Sapienza' [Rome], CHU Pitié-Salpêtrière [APHP], Service de neuro-radiologie [CHU Pitié-Salpêtrière], Università degli Studi di Siena (UNISI), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], 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), 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), 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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), 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), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), 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 National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Service de Médecine nucléaire [CHU Pitié-Salpétrière], Universidad Autónoma de Madrid (UAM), 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), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Sans affiliation, 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)-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), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Università degli Studi di Messina = University of Messina (UniMe), Università degli Studi di Pavia = University of Pavia (UNIPV), University of California [Irvine] (UC Irvine), University of California (UC), University of California [San Francisco] (UC San Francisco), University of British Columbia [Vancouver], Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Chiesa, P. A., Cavedo, E., Vergallo, A., Lista, S., Potier, M. -C., Habert, M. -O., Dubois, B., Thiebaut de Schotten, M., Hampel, H., Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cherif Touil, S., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Uspenskaya, O., Vlaincu, M., Aguilar, L. F., Babiloni, C., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Cacciola, F., Castrillo, J., Ceravolo, R., Corvol, J. -C., Claudio Cuello, A., Cummings, J. L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Teresa Ferretti, M., Fiandaca, M., Frank, R. A., Garaci, F., Geerts, H., George, N., Giorgi, F. S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Lamari, F., Langevin, T., Lorenceau, J., Mango, D., Mapstone, M., Neri, C., Nistico, R., O'Bryant, S. E., Palermo, G., Perry, G., Ritchie, C., Rossi, S., Saidi, A., Santarnecchi, E., Schneider, L. S., Sporns, O., Toschi, N., Verdooner, S. R., Villain, N., Welikovitch, L. A., Woodcock, J., Younesi, E., and Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0301 basic medicine, Apolipoprotein E, Epidemiology, Brain activity and meditation, Precuneus, Disease, Neuropsychological Tests, Hippocampus, Cohort Studies, [SCCO]Cognitive science, 0302 clinical medicine, Medicine, Longitudinal Studies, Default mode network, ComputingMilieux_MISCELLANEOUS, Brain Mapping, Subjective memory complaints, Brain functional dynamic, Health Policy, Precision medicine, fMRI, Settore BIO/14, Brain, Brain functional dynamics, Alzheimer's disease, Magnetic Resonance Imaging, Temporal Lobe, Frontal Lobe, Psychiatry and Mental health, medicine.anatomical_structure, Cohort, Biomarker (medicine), Female, Amyloid, 03 medical and health sciences, Cellular and Molecular Neuroscience, Apolipoproteins E, Developmental Neuroscience, Alzheimer Disease, Humans, Aged, Resting state fMRI, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, 030104 developmental biology, Neurology (clinical), Geriatrics and Gerontology, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

Introduction The longitudinal trajectories of functional brain dynamics and the impact of genetic risk factors in individuals at risk for Alzheimer's disease are poorly understood. Methods In a large-scale monocentric cohort of 224 amyloid stratified individuals at risk for Alzheimer's disease, default mode network (DMN) resting state functional connectivity (FC) was investigated between two serial time points across 2 years. Results Widespread DMN FC changes were shown in frontal and posterior areas, as well as in the right hippocampus. There were no cross-sectional differences, however, apolipoprotein E e4 (APOE e4) carriers demonstrated slower increase in FC in frontal lobes. There was no impact of individual brain amyloid load status. Discussion For the first time, we demonstrated that the pleiotropic biological effect of the APOE e4 allele impacts the dynamic trajectory of the DMN during aging. Dynamic functional biomarkers may become useful surrogate outcomes for the development of preclinical targeted therapeutic interventions.

Published
2019

20. Age and sex impact plasma NFL and t-Tau trajectories in individuals with subjective memory complaints: a 3-year follow-up study

Author

Baldacci, F., Lista, S., Manca, M. L., Chiesa, P. A., Cavedo, E., Lemercier, P., Zetterberg, H., Blennow, K., Habert, M. -O., Potier, M. C., Dubois, B., Vergallo, A., Hampel, H., Bakardjian, H., Benali, H., Bertin, H., Bonheur, J., Boukadida, L., Boukerrou, N., Chiesa, P., Colliot, O., Dubois, M., Epelbaum, S., Gagliardi, G., Genthon, R., Houot, M., Kas, A., Lamari, F., Levy, M., Metzinger, C., Mochel, F., Nyasse, F., Poisson, C., Potier, M. -C., Revillon, M., Santos, A., Andrade, K. S., Sole, M., Surtee, M., de Schotten, M. T., Younsi, N., Afshar, M., Aguilar, L. F., Akman-Anderson, L., Arenas, J., Avila, J., Babiloni, C., Batrla, R., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Cacciola, F., Caraci, F., Caruso, G., Castrillo, J., Ceravolo, R., Corbo, M., Corvol, J. -C., Claudio, A., Cummings, J. L., Depypere, H., Duggento, A., Emanuele, E., Escott-Price, V., Federoff, H., Ferretti, M. T., Fiandaca, M., Frank, R. A., Garaci, F., Geerts, H., Giacobini, E., Giorgi, F. S., Goetzl, E. J., Graziani, M., Haberkamp, M., Hanisch, B., Herholz, K., Hernandez, F., Imbimbo, B. P., Kapogiannis, D., Karran, E., Kiddle, S. J., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Langevin, T., Lehericy, S., Llavero, F., Lorenceau, J., Lucia, A., Mango, D., Mapstone, M., Neri, C., Nistico, R., O'Bryant, S. E., Palermo, G., Perry, G., Ritchie, C., Rossi, S., Saidi, A., Santarnecchi, E., Schneider, L. S., Sporns, O., Toschi, N., Valenzuela, P. L., Vellas, B., Verdooner, S. R., Villain, N., Virecoulon Giudici, K., Watling, M., Welikovitch, L. A., Woodcock, J., Younesi, E., Zugaza, J. L., Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), 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), University of Pisa - Università di Pisa, 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], 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 [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Sahlgrenska Academy at University of Gothenburg [Göteborg], University College of London [London] (UCL), UK Dementia Research Institute (UK DRI), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de médecine nucléaire [CHU Pitié-Salpétrière], 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 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)

Subjects
Male, BIOMARKER, 0301 basic medicine, Oncology, Aging, Neurology, [SDV]Life Sciences [q-bio], Disease, Neurodegenerative, Alzheimer's Disease, Medical and Health Sciences, lcsh:RC346-429, MESH: Cognitive Dysfunction, Alzheimer’s disease, Biomarkers, Mild cognitive impairment, Neurofilament light chain, Subjective memory complainers, Tau, 0302 clinical medicine, Neurofilament Proteins, Medicine and Health Sciences, BRAIN, MESH: Neurofilament Proteins, RISK, Settore FIS/07, NEURODEGENERATION, Cognition, ASSOCIATION, MESH: Follow-Up Studies, Alzheimer's disease, MESH: Amyloid beta-Peptides, MESH: tau Proteins, ALZHEIMERS-DISEASE, POSITIVITY, Neurological, Cohort, Biomarker (medicine), Female, medicine.medical_specialty, Cognitive Neuroscience, tau Proteins, Subjective, Affect (psychology), VALIDATION, lcsh:RC321-571, subjective memory complainers, mild cognitive impairment, biomarkers, s disease, 03 medical and health sciences, memory complainers, Clinical Research, Alzheimer Disease, Internal medicine, NEUROFILAMENT LIGHT-CHAIN, Acquired Cognitive Impairment, medicine, Humans, Cognitive Dysfunction, Vitamin B12, Allele, Alzheimer&#8217, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, lcsh:Neurology. Diseases of the nervous system, Amyloid beta-Peptides, MESH: Humans, business.industry, Research, Prevention, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer Precision Medicine Initiative, COGNITIVE IMPAIRMENT, MESH: Male, Brain Disorders, 030104 developmental biology, MESH: Biomarkers, Dementia, Neurology (clinical), business, INSIGHT-preAD study group, MESH: Female, MESH: Alzheimer Disease, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract

Background Plasma neurofilament light (NFL) and total Tau (t-Tau) proteins are candidate biomarkers for early stages of Alzheimer’s disease (AD). The impact of biological factors on their plasma concentrations in individuals with subjective memory complaints (SMC) has been poorly explored. We longitudinally investigate the effect of sex, age, APOE ε4 allele, comorbidities, brain amyloid-β (Aβ) burden, and cognitive scores on plasma NFL and t-Tau concentrations in cognitively healthy individuals with SMC, a condition associated with AD development. Methods Three hundred sixteen and 79 individuals, respectively, have baseline and three-time point assessments (at baseline, 1-year, and 3-year follow-up) of the two biomarkers. Plasma biomarkers were measured with an ultrasensitive assay in a mono-center cohort (INSIGHT-preAD study). Results We show an effect of age on plasma NFL, with women having a higher increase of plasma t-Tau concentrations compared to men, over time. The APOE ε4 allele does not affect the biomarker concentrations while plasma vitamin B12 deficiency is associated with higher plasma t-Tau concentrations. Both biomarkers are correlated and increase over time. Baseline NFL is related to the rate of Aβ deposition at 2-year follow-up in the left-posterior cingulate and the inferior parietal gyri. Baseline plasma NFL and the rate of change of plasma t-Tau are inversely associated with cognitive score. Conclusion We find that plasma NFL and t-Tau longitudinal trajectories are affected by age and female sex, respectively, in SMC individuals. Exploring the influence of biological variables on AD biomarkers is crucial for their clinical validation in blood.

Published
2020

21. β-Secretase1 biological markers for Alzheimer’s disease: state-of-art of validation and qualification

Author

Hampel, H., Lista, S., Vanmechelen, E., Zetterberg, H., Giorgi, F. S., Galgani, A., Blennow, K., Caraci, F., Das, B., Yan, R., Vergallo, A., Aguilar, L. F., Akman-Anderson, L., Arenas, J., Avila, J., Babiloni, C., Baldacci, F., Batrla, R., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Cacciola, F., Caruso, G., Castrillo, J., Cavedo, E., Ceravolo, R., Chiesa, P. A., Corbo, M., Corvol, J. -C., Cuello, A. C., Cummings, J. L., Depypere, H., Dubois, B., Duggento, A., Emanuele, E., Escott-Price, V., Federoff, H., Ferretti, M. T., Fiandaca, M., Frank, R. A., Garaci, F., Geerts, H., Giacobini, E., Goetzl, E. J., Graziani, M., Haberkamp, M., Habert, M. -O., Hanisch, B., Herholz, K., Hernandez, F., Imbimbo, B. P., Kapogiannis, D., Karran, E., Kiddle, S. J., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Langevin, T., Lehericy, S., Lemercier, P., Llavero, F., Lorenceau, J., Lucia, A., Mango, D., Mapstone, M., Neri, C., Nistico, R., O'Bryant, S. E., Palermo, G., Perry, G., Ritchie, C., Rossi, S., Saidi, A., Santarnecchi, E., Schneider, L. S., Sporns, O., Toschi, N., Valenzuela, P. L., Vellas, B., Verdooner, S. R., Villain, N., Virecoulon Giudici, K., Watling, M., Welikovitch, L. A., Woodcock, J., Younesi, E., and Zugaza, J. L.

Subjects
BIOMARKER, 0301 basic medicine, Aging, Neurology, Fluid biomarkers, Axonal damage, context of use, Review, Alzheimer’s disease, Amyloid-β pathway, BACE1, clinical trials, fluid biomarkers, neurodegeneration, Disease, Neurodegenerative, Bioinformatics, Medical and Health Sciences, lcsh:RC346-429, Clinical trials, 0302 clinical medicine, PP-BETA, Medicine and Health Sciences, Aspartic Acid Endopeptidases, Context of use, Neurodegeneration, Amyloid Precursor Protein Secretases, Amyloid beta-Peptides, Biomarkers, Humans, Alzheimer Disease, RISK, screening and diagnosis, CORRELATE, Settore FIS/07, AMYLOID-PRECURSOR PROTEIN, Alzheimer's disease, Detection, Neurological, State of art, Biomarker (medicine), EXPRESSION, medicine.medical_specialty, Cognitive Neuroscience, lcsh:RC321-571, 03 medical and health sciences, CEREBROSPINAL-FLUID, Clinical Research, BETA-SECRETASE BACE1, mental disorders, Acquired Cognitive Impairment, medicine, Adverse effect, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, lcsh:Neurology. Diseases of the nervous system, Mechanism (biology), business.industry, Prevention, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Amyloid-beta pathway, medicine.disease, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, Clinical trial, Good Health and Well Being, 030104 developmental biology, Dementia, Alzheimer’s Precision Medicine Initiative, Neurology (clinical), TAU, business, 030217 neurology & neurosurgery, GENERATION
Abstract

β-Secretase1 (BACE1) protein concentrations and rates of enzyme activity, analyzed in human bodily fluids, are promising candidate biological markers for guidance in clinical trials investigating BACE1 inhibitors to halt or delay the dysregulation of the amyloid-β pathway in Alzheimer’s disease (AD). A robust body of evidence demonstrates an association between cerebrospinal fluid/blood BACE1 biomarkers and core pathophysiological mechanisms of AD, such as brain protein misfolding and aggregration, neurodegeneration, and synaptic dysfunction.In pharmacological trials, BACE1 candidate biomarkers may be applied to a wide set of contexts of use (CoU), including proof of mechanism, dose-finding, response and toxicity dose estimation. For clinical CoU, BACE1 biomarkers show good performance for prognosis and disease prediction.The roadmap toward validation and qualification of BACE1 biomarkers requires standardized pre-analytical and analytical protocols to reduce inter-site variance that may have contributed to inconsistent results.BACE1 biomarker-drug co-development programs, including biomarker-guided outcomes and endpoints, may support the identification of sub-populations with a higher probability to benefit from BACE1 inhibitors with a reduced risk of adverse effects, in line with the evolving precision medicine paradigm.

Published
2020

26. Association of cerebrospinal fluid α-synuclein with total and phospho-tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Author

Vergallo, A, Bun, R, Toschi, N, Baldacci, F, Zetterberg, H, Blennow, K, Cavedo, E, Lamari, F, Habert, M, Dubois, B, Floris, R, Garaci, F, Lista, S, Hampel, H, Audrain, C, Auffret, A, Bakardjian, H, Batrancourt, B, Benakki, I, Benali, H, Bertin, H, Bertrand, A, Boukadida, L, Cacciamani, F, Causse, V, Cherif Touil, S, Chiesa, Pa, Colliot, O, Dalla Barba, G, Depaulis, M, Dos Santos, A, Dubois, M, Epelbaum, S, Fontaine, B, Francisque, H, Gagliardi, G, Genin, A, Genthon, R, Glasman, P, Gombert, F, Habert, Mo, Hewa, H, Houot, M, Jungalee, N, Kas, A, Kilani, M, La Corte, V, Le Roy, F, Lehericy, S, Letondor, C, Levy, M, Lowrey, M, Ly, J, Makiese, O, Masetti, I, Mendes, A, Metzinger, C, Michon, A, Mochel, F, Nait Arab, R, Nyasse, F, Perrin, C, Poirier, F, Poisson, C, Potier, Mc, Ratovohery, S, Revillon, M, Rojkova, K, Santos-Andrade, K, Schindler, R, Servera, Mc, Seux, L, Simon, V, Skovronsky, D, Thiebaut, M, Uspenskaya, O, Vlaincu, M, Aguilar, Lf, Babiloni, C, Benda, N, Black, Kl, Bokde, Alw, Bonuccelli, U, Broich, K, Bun, Rs, Cacciola, F, Castrillo, J, Ceravolo, R, Coman, Cm, Corvol, Jc, Cuello, Ac, Cummings, Jl, Depypere, H, Duggento, A, Durrleman, S, Escott-Price, V, Federoff, H, Ferretti, Mt, Fiandaca, M, Frank, Ra, George, N, Giorgi, Fs, Graziani, M, Haberkamp, M, Herholz, K, Karran, E, Kim, Sh, Koronyo, Y, Koronyo-Hamaoui, M, Langevin, T, Lehéricy, S, Lorenceau, J, Mapstone, M, Neri, C, Nisticò, R, Nyasse-Messene, F, O'Bryant, Se, Perry, G, Ritchie, C, Rossi, S, Santarnecchi, E, Schneider, Ls, Sporns, O, Verdooner, Sr, Villain, N, Welikovitch, L, Woodcock, J, Younesi, E, Vergallo, A., Bun, R. -S., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Cavedo, E., Lamari, F., Habert, M. -O., Dubois, B., Floris, R., Garaci, F., Lista, S., Hampel, H., Audrain, C., Auffret, A., Bakardjian, H., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cherif Touil, S., Chiesa, P. A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Aguilar, L. F., Babiloni, C., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Bun, R. S., Cacciola, F., Castrillo, J., Ceravolo, R., Coman, C. M., Corvol, J. C., Cuello, A. C., Cummings, J. L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Ferretti, M. T., Fiandaca, M., Frank, R. A., George, N., Giorgi, F. S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Langevin, T., Lorenceau, J., Mapstone, M., Neri, C., Nistico, R., Nyasse-Messene, F., O'Bryant, S. E., Perry, G., Ritchie, C., Rossi, S., Santarnecchi, E., Schneider, L. S., Sporns, O., Verdooner, S. R., Villain, N., Welikovitch, L., Woodcock, J., and Younesi, E.

Subjects
0301 basic medicine, Epidemiology, Alzheimer's disease, Amyloid PET, Cerebrospinal fluid, Monocentric, Preclinical, Subjective memory complainers, SUVR, Synergistic, Tau protein, α-Synuclein, chemistry.chemical_compound, 0302 clinical medicine, biology, Health Policy, Settore FIS/07, Settore BIO/14, Pathophysiology, Psychiatry and Mental health, medicine.symptom, medicine.medical_specialty, Amyloid, Asymptomatic, 03 medical and health sciences, Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology (clinical), Geriatrics and Gerontology, Psychiatry and Mental Health, Internal medicine, mental disorders, medicine, Dementia, Alpha-synuclein, business.industry, Alzheimer's disease biomarkers, medicine.disease, 030104 developmental biology, Endocrinology, nervous system, chemistry, Subjective memory complainer, biology.protein, business, 030217 neurology & neurosurgery
Abstract

Introduction Several neurodegenerative brain proteinopathies, including Alzheimer's disease (AD), are associated with cerebral deposition of insoluble aggregates of α-synuclein. Previous studies reported a trend toward increased cerebrospinal fluid (CSF) α-synuclein (α-syn) concentrations in AD compared with other neurodegenerative diseases and healthy controls. Methods The pathophysiological role of CSF α-syn in asymptomatic subjects at risk of AD has not been explored. We performed a large-scale cross-sectional observational monocentric study of preclinical individuals at risk for AD (INSIGHT-preAD). Results We found a positive association between CSF α-syn concentrations and brain β-amyloid deposition measures as mean cortical standard uptake value ratios. We demonstrate positive correlations between CSF α-syn and both CSF t-tau and p-tau 181 concentrations. Discussion Animal models presented evidence, indicating that α-syn may synergistically and directly induce fibrillization of both tau and β-amyloid. Our data indicate an association of CSF α-syn with AD-related pathophysiological mechanisms, during the preclinical phase of the disease.

Published
2018

27. Going beyond the Eureka moment: enhancement of insightful solutions by means of tACS and tRNS

Author

Sprugnoli, G, Liew, S, Bricolo, E, Costantini, G, Salvi, C, Musaeus, C, Rossi, S, Rossi, A, Pascual-Leone, A, Santarnecchi, E, Sprugnoli, G., Liew, S. L., Bricolo, E., Costantini, G., Salvi, C., Musaeus, C. S., Rossi, S., Rossi, A., Pascual-Leone, A., Santarnecchi, E., Sprugnoli, G, Liew, S, Bricolo, E, Costantini, G, Salvi, C, Musaeus, C, Rossi, S, Rossi, A, Pascual-Leone, A, Santarnecchi, E, Sprugnoli, G., Liew, S. L., Bricolo, E., Costantini, G., Salvi, C., Musaeus, C. S., Rossi, S., Rossi, A., Pascual-Leone, A., and Santarnecchi, E.

Published
2017

29. Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease

Author

Hampel, H, Vergallo, A, Afshar, M, Akman-Anderson, L, Arenas, J, Benda, N, Batrla, R, Broich, K, Caraci, F, Cuello, Ac, Emanuele, E, Haberkamp, M, Kiddle, Sj, Lucia, A, Mapstone, M, Verdooner, Sr, Woodcock, J, Lista, S, Aguilar, Lf, Babiloni, C, Baldacci, F, Black, Kl, Bokde, Alw, Bonuccelli, U, Cacciola, F, Castrillo, J, Cavedo, E, Ceravolo, R, Chiesa, Pa, Corvol, J, Cummings, Jl, Depypere, H, Dubois, B, Duggento, A, Escott-Price, V, Federoff, H, Ferretti, Mt, Fiandaca, M, Frank, Ra, Garaci, F, Geerts, H, Giorgi, Fs, Goetzl, Ej, Graziani, M, Habert, M, Herholz, K, Kapogiannis, D, Karran, E, Kim, Sh, Koronyo, Y, Koronyo-Hamaoui, M, Langevin, T, Lehericy, S, Lorenceau, J, Mango, D, Neri, C, Nistico, R, O'Bryant, Se, Palermo, G, Perry, G, Ritchie, C, Rossi, S, Saidi, A, Santarnecchi, E, Schneider, Ls, Sporns, O, Toschi, N, Villain, N, Welikovitch, La, and Younesi, E

Subjects
biomarker-drug codevelopment, Systems biology, Alzheimer's disease, systems biology, precision medicine, blood-based biomarker, context of use, pathophysiology, clinical trial, predictive biomarker, Druggability, Eligibility Determination, Disease, Computational biology, 03 medical and health sciences, 0302 clinical medicine, Drug Development, Alzheimer Disease, Humans, Medicine, Clinical Trials as Topic, business.industry, Clinical study design, Settore FIS/07, Precision medicine, Treatment efficacy, 030227 psychiatry, Clinical trial, Early Diagnosis, Alzheimer’s disease, DECIPHER, Original Article, business, Biomarkers
Abstract

Alzheimer's disease (AD)-a complex disease showing multiple pathomechanistic alterations-is triggered by nonlinear dynamic interactions of genetic/epigenetic and environmental risk factors, which, ultimately, converge into a biologically heterogeneous disease. To tackle the burden of AD during early preclinical stages, accessible blood-based biomarkers are currently being developed. Specifically, next-generation clinical trials are expected to integrate positive and negative predictive blood-based biomarkers into study designs to evaluate, at the individual level, target druggability and potential drug resistance mechanisms. In this scenario, systems biology holds promise to accelerate validation and qualification for clinical trial contexts of use-including proof-of-mechanism, patient selection, assessment of treatment efficacy and safety rates, and prognostic evaluation. Albeit in their infancy, systems biology-based approaches are poised to identify relevant AD "signatures" through multifactorial and interindividual variability, allowing us to decipher disease pathophysiology and etiology. Hopefully, innovative biomarker-drug codevelopment strategies will be the road ahead towards effective disease-modifying drugs. .La Enfermedad de Alzheimer (EA) es una enfermedad compleja que presenta múltiples alteraciones patomecánicas, que se desencadena por interacciones dinámicas no lineales de factores de riesgo genéticos / epigenéticos y ambientales, los que, en definitiva, convergen en una enfermedad biológicamente heterogénea. Para hacer frente a la carga de la EA durante las etapas preclínicas tempranas, actualmente se están desarrollando biomarcadores sanguíneos de fácil accesibilidad. Específicamente, se espera que los ensayos clínicos de próxima generación integren biomarcadores sanguíneos predictivos tanto positivos como negativos en los diseños de los estudios para evaluar, a nivel individual, la capacidad de la droga objetivo y los posibles mecanismos de resistencia a los medicamentos. En este contexto, la biología de sistemas promete acelerar la validación y la calificación de su empleo en los ensayos clínicos, incluida la prueba del mecanismo, la selección de pacientes, la evaluación de la eficacia del tratamiento y los porcentajes de seguridad, y la evaluación pronóstica. A pesar de estar en sus comienzos, los enfoques basados en la biología de sistemas están preparados para identificar “firmas” de EA relevantes a través de la variabilidad multifactorial e interindividual, lo que nos permite descifrar la fisiopatología y la etiología de la enfermedad. Ojalá, las estrategias innovadoras conjuntas del desarrollo de biomarcadores y de medicamentos sean el camino adecuado para conseguir fármacos eficaces que modifiquen la enfermedad.La maladie d’Alzheimer (MA) — maladie complexe présentant des altérations nombreuses pathomécaniques — est déclenchée par des interactions dynamiques non linéaires entre des facteurs de risques génétiques et épigénétiques et environnementaux qui, au bout du compte, aboutissent à une maladie biologiquement hétérogène. Pour réduire la charge de morbidité de la MA durant ses premiers stades précliniques, des biomarqueurs sanguins sont actuellement développés. Spécifiquement, la prochaine génération d’essais cliniques devrait intégrer ces biomarqueurs sanguins positifs ou négatifs prédictifs de la maladie dans des études qui auront pour but d’évaluer, à un niveau individuel, des cibles pouvant être traitées par des candidats médicaments et de potentiels mécanismes de résistance à ces médicaments. Dans ce contexte, la biologie des systèmes devrait permettre d’accélérer la validation et la qualification de leur utilisation dans les études cliniques – incluant la preuve du mécanisme d’action, la sélection des patients, la confirmation de l’efficacité du traitement et son niveau de sécurité, ainsi que l’évaluation pronostique. Bien que nous en soyons au tout début, les approches reposant sur la biologie des systèmes sont sur le point d’identifier des « signatures » pertinentes de la MA grâce à des variables multifactorielles et interindividuelles, qui nous permettront d’élucider la pathophysiologie et l’étiologie de la maladie. Avec un peu de chance, les stratégies innovantes de codéveloppement de biomarqueurs et de médicaments nous mèneront vers des médicaments efficaces pour lutter contre la maladie.

Published
2019

30. Reduction of intratumoral brain perfusion by noninvasive transcranial electrical stimulation

Author

Sprugnoli, G., Monti, L., Lippa, L., Neri, F., Mencarelli, L., Ruffini, G., Salvador, R., Oliveri, G., Batani, B., Momi, D., Cerase, A., Pascual Leone, Álvaro, Rossi, A., Rossi, S., Santarnecchi, E., and Universitat Autònoma de Barcelona

Subjects
Malignant Brain Neoplasm, Male, medicine.medical_specialty, Tumor perfusion, Perfusion scanning, Stimulation, Antineoplastic Agents, Transcranial Direct Current Stimulation, Electrical stimulations, Metastasis, 03 medical and health sciences, Therapeutic intervention, 0302 clinical medicine, Brain perfusion, medicine, Humans, Health and Medicine, Induced electrical field, Adverse effect, Transcranial electrical stimulations, Research Articles, Biophysical model, Aged, Multidisciplinary, medicine.diagnostic_test, business.industry, Brain Neoplasms, fungi, SciAdv r-articles, food and beverages, Magnetic resonance imaging, Middle Aged, medicine.disease, Combined Modality Therapy, Magnetic Resonance Imaging, 3. Good health, 030220 oncology & carcinogenesis, Cerebrovascular Circulation, Female, Radiology, business, Glioblastoma, Perfusion, 030217 neurology & neurosurgery, Research Article, Neuroscience
Abstract

Transcranial electrical stimulation can safely and noninvasively modulate perfusion of brain tumors in humans., Malignant brain neoplasms have a poor prognosis despite aggressive treatments. Animal models and evidence from human bodily tumors reveal that sustained reduction in tumor perfusion via electrical stimulation promotes tumor necrosis, therefore possibly representing a therapeutic option for patients with brain tumors. Here, we demonstrate that transcranial electrical stimulation (tES) allows to safely and noninvasively reduce intratumoral perfusion in humans. Selected patients with glioblastoma or metastasis underwent tES, while perfusion was assessed using magnetic resonance imaging. Multichannel tES was applied according to personalized biophysical modeling, to maximize the induced electrical field over the solid tumor mass. All patients completed the study and tolerated the procedure without adverse effects, with tES selectively reducing the perfusion of the solid tumor. Results potentially open the door to noninvasive therapeutic interventions in brain tumors based on stand-alone tES or its combination with other available therapies.

Published
2019

31. Brain Aβ load association and sexual dimorphism of plasma BACE1 concentrations in cognitively normal individuals at risk for AD

Author

Vergallo, A., Houot, M., Cavedo, E., Lemercier, P., Vanmechelen, E., De Vos, A., Habert, M. -O., Potier, M. -C., Dubois, B., Lista, S., Hampel, H., Bakardjian, H., Benali, H., Bertin, H., Bonheur, J., Boukadida, L., Boukerrou, N., Chiesa, P., Colliot, O., Dubois, M., Epelbaum, S., Gagliardi, G., Genthon, R., Habert, M. O., Kas, A., Lamari, F., Levy, M., Metzinger, C., Mochel, F., Nyasse, F., Poisson, C., Potier, M. C., Revillon, M., Santos, A., Andrade, K. S., Sole, M., Surtee, M., Thiebaud de Schotten, M., Younsi, N., Afshar, M., Flores Aguilar, L., Akman-Anderson, L., Arenas, J., Avila, J., Babiloni, C., Baldacci, F., Batrla, R., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Cacciola, F., Caraci, F., Castrillo, J., Ceravolo, R., Chiesa, P. A., Corvol, J. -C., Claudio Cuello, A., Cummings, J. L., Depypere, H., Duggento, A., Emanuele, E., Escott-Price, V., Federoff, H., Teresa Ferretti, M., Fiandaca, M., Frank, R. A., Garaci, F., Geerts, H., Giorgi, F. S., Goetzl, E. J., Graziani, M., Haberkamp, M., Marie-Odile, H., Herholz, K., Hernandez, F., Kapogiannis, D., Karran, E., Kiddle, S. J., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Langevin, T., Lehericy, S., Lucia, A., Lorenceau, J., Mango, D., Mapstone, M., Neri, C., Nistico, R., O'Bryant, S. E., Palermo, G., Perry, G., Ritchie, C., Rossi, S., Saidi, A., Santarnecchi, E., Schneider, L. S., Sporns, O., Toschi, N., Verdooner, S. R., Villain, N., Welikovitch, L. A., Woodcock, J., Younesi, E., Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), 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), 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], 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), Centre d'investigation clinique Neurosciences [CHU Pitié Salpêtrière] (CIC Neurosciences), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Service de médecine nucléaire [CHU Pitié-Salpétrière]

Subjects
Male, 0301 basic medicine, Apolipoprotein E, Epidemiology, [SDV]Life Sciences [q-bio], PROGRESSION, Disease, Cognition, 0302 clinical medicine, Amyloid precursor protein, Medicine and Health Sciences, Aspartic Acid Endopeptidases, medicine.diagnostic_test, biology, Health Policy, Settore BIO/14, Brain, Alzheimer's disease, Healthy Volunteers, 3. Good health, GENOTYPE, ALZHEIMERS-DISEASE, Psychiatry and Mental health, Positron emission tomography, Cohort, Biomarker (medicine), Female, EXPRESSION, medicine.medical_specialty, BIOMARKERS, Standardized uptake value, 03 medical and health sciences, Cellular and Molecular Neuroscience, Sexual dimorphism, Apolipoproteins E, Sex Factors, Developmental Neuroscience, Alzheimer Disease, Internal medicine, mental disorders, medicine, Humans, BACE1 biomarkers, Aged, Plasma BACE1, DECLINE, Amyloid beta-Peptides, business.industry, 030104 developmental biology, Endocrinology, Positron-Emission Tomography, Disease modifying, biology.protein, Neurology (clinical), Amyloid Precursor Protein Secretases, Geriatrics and Gerontology, business, Biomarkers, 030217 neurology & neurosurgery
Abstract

Introduction: Successful development of effective beta-site amyloid precursor protein cleaving enzyme 1 (BACE1)-targeted therapies for early stages of Alzheimer's disease requires biomarker-guided intervention strategies. Methods: We investigated whether key biological factors such as sex, apolipoprotein E (APOE epsilon 4) allele, and age affect longitudinal plasma BACE1 concentrations in a large monocenter cohort of individuals at risk for Alzheimer's disease. We explored the relationship between plasma BACE1 concentrations and levels of brain amyloid-beta (A beta) deposition, using positron emission tomography global standard uptake value ratios. Results: Baseline and longitudinal mean concentrations of plasma BACE1 were significantly higher in women than men. We also found a positive significant impact of plasma BACE1 on baseline A beta-positron emission tomography global standard uptake value ratios. Discussion: Our results suggest a sexual dimorphism in BACE1-related upstream mechanisms of brain A beta production and deposition. We argue that plasma BACE1 should be considered in further biomarker validation and qualification studies as well as in BACE1 clinical trials. (C) 2019 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer's Association.

Published
2019

32. Basal Forebrain Volume, but Not Hippocampal Volume, Is a Predictor of Global Cognitive Decline in Patients With Alzheimer's Disease Treated With Cholinesterase Inhibitors

Author

Teipel, Sj, Cavedo, E, Hampel, H, Grothe, Mj, Aguilar, Lf, Babiloni, C, Baldacci, F, Benda, N, Black, Kl, Bokde, Alw, Bonuccelli, U, Broich, K, Bun, Rs, Cacciola, F, Castrillo, J, Ceravolo, R, Chiesa, Pa, Colliot, O, Coman, C, Corvol, J, Cuello, Ac, Depypere, H, Dubois, B, Duggento, A, Durrleman, S, Escott-Price, V, Federoff, H, Ferretti, Mt, Fiandaca, M, Frank, Ra, Garaci, F, Genthon, R, George, N, Giorgi, Fs, Graziani, M, Haberkamp, M, Habert, M, Herholz, K, Karran, E, Kim, Sh, Koronyo, Y, Koronyo-Hamaoui, M, Lamari, F, Langevin, T, Lehericy, S, Lista, S, Lorenceau, J, Mapstone, M, Neri, C, Nistico, R, Nyasse-Messene, F, O'Bryant, Se, Perry, G, Ritchie, C, Rojkova, K, Rossi, S, Saidi, A, Santarnecchi, E, Schneider, Ls, Sporns, O, Toschi, N, Verdooner, Sr, Vergallo, A, Villain, N, Welikovitch, La, Woodcock, J, Younesi, E, and Cummings, Jl

Subjects
Aging, hippocampus, Hippocampus, Neurodegenerative, Alzheimer's Disease, lcsh:RC346-429, cholinergic treatment, memory, 0302 clinical medicine, Medicine and Health Sciences, Psychology, Medicine, Cognitive decline, Episodic memory, basal forebrain, Original Research, Basal forebrain, Settore FIS/07, 05 social sciences, Cognition, IMPAIRMENT, Manchester Institute for Collaborative Research on Ageing, Neurology, Neurological, Cohort, DONEPEZIL, Cardiology, NUCLEUS BASALIS, ADAS-COG, MRI, CHOLINERGIC SYSTEM, medicine.medical_specialty, ResearchInstitutes_Networks_Beacons/MICRA, Clinical Sciences, COMPOSITE SCORE, ATROPHY, 050105 experimental psychology, 03 medical and health sciences, Clinical Research, Internal medicine, Behavioral and Social Science, Acquired Cognitive Impairment, Dementia, 0501 psychology and cognitive sciences, ddc:610, lcsh:Neurology. Diseases of the nervous system, business.industry, Alzheimer's Disease Neuroimaging Initiative, Neurosciences, Alzheimer Precision Medicine Initiative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), prediction, medicine.disease, NEUROIMAGING INITIATIVE ADNI, Brain Disorders, SUBSTANTIA INNOMINATA, executive function, Cholinergic treatment, Executive function, Memory, Prediction, Cholinergic, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

Background: Predicting the progression of cognitive decline in Alzheimer's disease (AD) is important for treatment selection and patient counseling. Structural MRI markers such as hippocampus or basal forebrain volumes might represent useful instruments for the prediction of cognitive decline. The primary objective was to determine the predictive value of hippocampus and basal forebrain volumes for global and domain specific cognitive decline in AD dementia during cholinergic treatment.Methods: We used MRI and cognitive data from 124 patients with the clinical diagnosis of AD dementia, derived from the ADNI-1 cohort, who were on standard of care cholinesterase inhibitor treatment during a follow-up period between 0.4 and 3.1 years. We used linear mixed effects models with cognitive function as outcome to assess the main effects as well as two-way interactions between baseline volumes and time controlling for age, sex, and total intracranial volume. This model accounts for individual variation in follow-up times.Results: Basal forebrain volume, but not hippocampus volume, was a significant predictor of rates of global cognitive decline. Larger volumes were associated with smaller rates of cognitive decline. Left hippocampus volume had a modest association with rates of episodic memory decline. Baseline performance in global cognition and memory was significantly associated with hippocampus and basal forebrain volumes; in addition, basal forebrain volume was associated with baseline performance in executive function.Conclusions: Our findings indicate that in AD dementia patients, basal forebrain volume may be a useful marker to predict subsequent cognitive decline during cholinergic treatment.

Published
2018

36. Reduction of intratumoral brain perfusion by noninvasive transcranial electrical stimulation

Author

Sprugnoli, G., primary, Monti, L., additional, Lippa, L., additional, Neri, F., additional, Mencarelli, L., additional, Ruffini, G., additional, Salvador, R., additional, Oliveri, G., additional, Batani, B., additional, Momi, D., additional, Cerase, A., additional, Pascual-Leone, A., additional, Rossi, A., additional, Rossi, S., additional, and Santarnecchi, E., additional

Published
2019
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40. Defence mechanisms and attachment styles in paranoid ideation evaluated in a sample of non-clinical young adults

Author

Ciocca, G., Collazzoni, A., Limoncin, E., Franchi, C., Mollaioli, D., Giorgio Di Lorenzo, Santarnecchi, E., Troisi, A., Siracusano, A., Rossi, A., and Jannini, E. A.

Subjects
Male, Paranoid Disorders, Psychometrics, Theory of Mind, Fear, Object Attachment, Young Adult, Attachment Styles, Defence Mechanisms, Paranoia, Psychiatry and Mental Health, Cross-Sectional Studies, Surveys and Questionnaires, Humans, Female, Interpersonal Relations, Settore MED/25 - Psichiatria, Stress, Psychological, Defense Mechanisms
Abstract

The aim of this investigation was to evaluate defence mechanisms and attachment styles in paranoid ideation through a cross-sectional design with sequential recruitment of subjects.Five hundred and fifty non-clinical subjects were recruited from university students. A psychometric protocol comprising paranoid ideation scale of Symptoms Check List (SCL-90-R-Par) to identify paranoid ideation, Defence Style Questionnaire (DSQ-40) to evaluate defence mechanisms, and Relationship Questionnaire (RQ) to measure attachment styles was then administered.We found a significant predictive value of immature defence mechanisms (β=0.48; p0.0001) and preoccupied attachment style (β=0.25; p0.0001) in the paranoid ideation. Moreover, subjects reporting a preoccupied or fearful attachment style showed higher levels of paranoia.This study revealed that paranoid ideation is mainly characterised by immature defence mechanisms. A clear insecure attachment style associated with paranoia was also found. The assessment of paranoid ideation should therefore consider the role of attachment style and defence mechanisms as an integral part during the diagnostic and therapeutic processes.

Published
2017

42. Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study

Author

Santarnecchi, E., Emmendorfer, A.K., Pascual-Leone, A., Santarnecchi, E., Emmendorfer, A.K., and Pascual-Leone, A.

Abstract

Item does not contain fulltext, Recent advances in cognitive neuroscience have shown how experience-independent cognitive abilities termed fluid intelligence (Gf) can predict academic achievement, longevity and resilience to neurodegeneration. Therefore, the understanding of the neurobiological underpinnings of Gf becomes a crucial step for the implementation of cognitive rehabilitation as well as enhancement interventions. Here we present the result of a quantitative meta-analysis of available fMRI and PET literature about Gf in humans, including (i) distinct maps for verbal and visuospatial stimuli, (ii) an analysis of brain regions contributing to processing of more complex stimuli as well as (iii) a model-driven distinction of processing stages occurring during Gf-related problem solving. Results highlight the loading of Gf components over functionally defined resting-state fMRI networks, with different degrees of overlap in both hemispheres and subcortical structures. A major role for nodes of the dorsal attention network during both verbal and visuospatial abstract reasoning tasks represents the most consistent correlate of Gf, with additional contributions by regions of the anterior salience and left fronto-parietal control network. Increase in trial difficulty elicits a more pronounced engagement of the language and left fronto-parietal control networks, while inferring the rules subtending a given Gf task relies on a different anatomo-functional substrate than producing novel solutions. Current findings might allow a clearer association between Gf-related activity and brain connectivity, also providing quantitative ALE maps to be used in network-based brain stimulation and cognitive training interventions.

Published
2017

43. Neural correlates of Eureka moment

Author

Sprugnoli, G., Rossi, S., Emmendorfer, A.K., Rossi, A., Liew, S.L., Tatti, E., Di Lorenzo, G., Pascual-Leone, A., Santarnecchi, E., Sprugnoli, G., Rossi, S., Emmendorfer, A.K., Rossi, A., Liew, S.L., Tatti, E., Di Lorenzo, G., Pascual-Leone, A., and Santarnecchi, E.

Abstract

Item does not contain fulltext, Insight processes that peak in "unpredictable moments of exceptional thinking" are often referred to as Aha! or Eureka moments. During insight, connections between previously unrelated concepts are made and new patterns arise at the perceptual level while new solutions to apparently insolvable problems suddenly emerge to consciousness. Given its unpredictable nature, the definition, and behavioral and neurophysiological measurement of insight problem solving represent a major challenge in contemporary cognitive neuroscience. Numerous attempts have been made, yet results show limited consistency across experimental approaches. Here we provide a comprehensive overview of available neuroscience of insight, including: i) a discussion about the theoretical definition of insight and an overview of the most widely accepted theoretical models, including those debating its relationship with creativity and intelligence; ii) an overview of available tasks used to investigate insight; iii) an ad-hoc quantitative meta-analysis of functional magnetic resonance imaging studies investigating the Eureka moment, using activation likelihood estimation maps; iv) a review of electroencephalographic evidence in the time and frequency domains, as well as v) an overview of the application of non-invasive brain stimulation techniques to causally assess the neurobiological basis of insight as well as enhance insight-related cognition.

Published
2017

44. Network connectivity correlates of variability in fluid intelligence performance

Author

Santarnecchi, E., Emmendorfer, A.K., Tadayon, S., Rossi, S., Rossi, A., Pascual-Leone, A., Santarnecchi, E., Emmendorfer, A.K., Tadayon, S., Rossi, S., Rossi, A., and Pascual-Leone, A.

Abstract

Item does not contain fulltext, reasoning requires a pattern of spatial and temporal coordination among regions across the entire brain. Recent evidence suggests a very high similarity between spontaneous and evoked brain activity in humans, implying that a fine characterization of brain dynamics recorded during resting-state might be informative for the understanding of evoked behavior. In a recent work, we listed and detailed the sets of regions showing robust co-activation during the solution of fluid intelligence (gf) tasks, decomposing such meta-analytic maps in stimulus- and reasoning stage-specific sub-maps. However, while anatomical overlap with well-known resting-state fMRI networks (RSNs) has been documented, we here propose a quantitative validation of such findings via functional connectivity analysis in a sample of healthy participants. Results highlight a striking degree of similarity between the connectivity profile of the gf network and that of the dorsal attention network, with additional overlap with the left and right fronto-parietal control networks. Interestingly, a strong negative correlation with structures of the default mode network (DMN) was also identified. Results of regression models built on two independent fMRI datasets confirmed the negative correlation between gf regions and medial prefrontal structures of the DMN as a significant predictor of individual gf scores. These might suggest a framework to interpret previously reported aging-related decline in both gf and the correlation between "task-positive" networks and DMN, possibly pointing to a common neurophysiological substrate.

Published
2017

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