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Artículos científicos publicados por los investigadores del Barcelonaβeta Brain Research Center (BBRC), relacionados con la enfermedad de Alzheimer, neuroimagen, memoria y enfermedades neurodegenerativas, entre otros campos.

  • Padrela BE, Lorenzini L, Collij LE, García DV, Coomans E, Ingala S, Tomassen J, Deckers Q, Shekari M, Geus EJ, van de Giessen E, Kate MT, Visser PJ, Barkhof F, Petr J, Braber AD, Mutsaerts HJ

    Genetic, vascular, and amyloid components of cerebral blood flow in a preclinical population

    J Cereb Blood Flow Metab

    Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been...

  • Stankeviciute L, Falcon C, Operto G, Garcia M, Shekari M, Iranzo Á, Niñerola-Baizán A, Perissinotti A, Minguillón C, Fauria K, Molinuevo JL, Zetterberg H, Blennow K, Suárez-Calvet M, Cacciaglia R, Gispert JD, Grau-Rivera O

    Differential effects of sleep on brain structure and metabolism at the preclinical stages of AD

    Alzheimers Dement

    Introduction: Poor sleep quality is associated with cognitive outcomes in Alzheimer's disease (AD). We analyzed the associations between self-reported sleep quality and brain structure and function in...

  • Soldevila-Domenech N, De Toma I, Forcano L, Diaz-Pellicer P, Cuenca-Royo A, Fagundo B, Lorenzo T, Gomis-Gonzalez M, Sánchez-Benavides G, Fauria K, Sastre C, Fernandez De Piérola Í, Molinuevo JL, Verdejo-Garcia A, de la Torre R

    Intensive assessment of executive functions derived from performance in cognitive training games


    Traditional neuropsychological tests accurately describe the current cognitive state but fall short to characterize cognitive change over multiple short time periods. We present an innovative approach...

  • Altomare D, Barkhof F, Caprioglio C, Collij LE, Scheltens P, Lopes Alves I, Bouwman F, Berkhof J, van Maurik IS, Garibotto V, Moro C, Delrieu J, Payoux P, Saint-Aubert L, Hitzel A, Molinuevo JL, Grau-Rivera O, Gispert JD, Drzezga A, Jessen F, Zeyen P, Nordberg A, Savitcheva I, Jelic V, Walker Z, Edison P, Demonet JF, Gismondi R, Farrar G, Stephens AW, Frisoni GB

    Clinical Effect of Early vs Late Amyloid Positron Emission Tomography in Memory Clinic Patients: The AMYPAD-DPMS Randomized Clinical Trial

    JAMA Neurol

    Importance: Amyloid positron emission tomography (PET) allows the direct assessment of amyloid deposition, one of the main hallmarks of Alzheimer disease. However, this technique is currently not...

  • König A, Linz N, Baykara E, Tröger J, Ritchie C, Saunders S, Teipel S, Köhler S, Sánchez-Benavides G, Grau-Rivera O, Gispert JD, Palmqvist S, Tideman P, Hansson O

    Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol

    J Prev Alzheimers Dis

    Background: Speech impairments are an early feature of Alzheimer's disease (AD) and consequently, analysing speech performance is a promising new digital biomarker for AD screening. Future clinical AD...

  • García-Escobar G, Puig-Pijoan A, Puente-Periz V, Fernández-Lebrero A, María Manero R, Navalpotro-Gómez I, Suárez-Calvet M, Grau-Rivera O, Contador-Muñana J, Cascales-Lahoz D, Duran-Jordà X, Boltes N, Pont-Sunyer MC, Ortiz-Gil J, Carrillo-Molina S, López-Villegas MD, Abellán-Vidal MT, Martínez-Casamitjana MI, Hernández-Sánchez JJ, Padrós-Fluvià A, Peña-Casanova J, Sánchez-Benavides G

    NEURONORMA Cognitive Battery Associations with Cerebrospinal Fluid Amyloid-β and Tau Levels in the Continuum of Alzheimer's Disease

    Journal of Alzheimer's Disease

    Background: Neuropsychological assessments are essential to define the cognitive profile and contribute to the diagnosis of Alzheimer's disease (AD). The progress in knowledge about the...

  • Christmas MJ, Kaplow IM, Genereux DP, Dong MX, Hughes GM, Li X, Sullivan PF, Hindle AG, Andrews G, Armstrong JC, Bianchi M, Breit AM, Diekhans M, Fanter C, Foley NM, Goodman DB, Goodman L, Keough KC, Kirilenko B, Kowalczyk A, Lawless C, Lind AL, Meadows JRS, Moreira LR, Redlich RW, Ryan L, Swofford R, Valenzuela A, Wagner F, Wallerman O, Brown AR, Damas J, Fan K, Gatesy J, Grimshaw J, Johnson J, Kozyrev SV, Lawler AJ, Marinescu VD, Morrill KM, Osmanski A, Paulat NS, Phan BN, Reilly SK, Schäffer DE, Steiner C, Supple MA, Wilder AP, Wirthlin ME, Xue JR; Zoonomia Consortium§; Birren BW, Gazal S, Hubley RM, Koepfli KP, Marques-Bonet T, Meyer WK, Nweeia M, Sabeti PC, Shapiro B, Smit AFA, Springer MS, Teeling EC, Weng Z, Hiller M, Levesque DL, Lewin HA, Murphy WJ, Navarro A, Paten B, Pollard KS, Ray DA, Ruf I, Ryder OA, Pfenning AR, Lindblad-Toh K, Karlsson EK, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X

    Evolutionary constraint and innovation across hundreds of placental mammals


    Zoonomia is the largest comparative genomics resource for mammals produced to date. By aligning genomes for 240 species, we identify bases that, when mutated, are likely to affect fitness and alter...

  • Gogishvili D, Vromen EM, Koppes-den Hertog S, Lemstra AW, Pijnenburg YAL, Visser PJ, Tijms BM, Del Campo M, Abeln S, Teunissen CE, Vermunt L

    Discovery of novel CSF biomarkers to predict progression in dementia using machine learning

    Sci Rep.

    Providing an accurate prognosis for individual dementia patients remains a challenge since they greatly differ in rates of cognitive decline. In this study, we used machine learning techniques with...

  • Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Milà-Alomà M, Lorenzini L, Ingala S, Meije Wink A, Mutsaerts HJMM, Minguillón C, Fauria K, Molinuevo JL, Haller S, Chetelat G, Waldman A, Schwarz AJ, Barkhof F, Suridjan I, Kollmorgen G, Bayfield A, Zetterberg H, Blennow K, Suárez-Calvet M, Vilaplana V, Gispert López JD

    Biological brain age prediction using machine learning on structural neuroimaging data: multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex


    Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative...

  • Lorenzini L, Ingala S, Collij LE, Wottschel V, Haller S, Blennow K, Frisoni G, Chételat G, Payoux P, Lage-Martinez P, Ewers M, Waldman A, Wardlaw J, Ritchie C, Gispert JD, Mutsaerts HJMM, Visser PJ, Scheltens P, Tijms B, Barkhof F, Wink AM

    Eigenvector centrality dynamics are related to Alzheimer's disease pathological changes in non-demented individuals

    Brain Commun.

    Amyloid-β accumulation starts in highly connected brain regions and is associated with functional connectivity alterations in the early stages of Alzheimer's disease. This regional vulnerability is...