Bernardino Fernández-calvo

Dr. Bernardino Fernández-calvo

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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Neuroscience & Biobehavioral Reviews
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Journal Article
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PHPaula Herrero
Paula Herrero
ICIsrael Contador
Israel Contador
YSYaakov Stern
Yaakov Stern
BFBernardino Fernández-calvo
Bernardino Fernández-calvo
ASAbraham Sánchez
Abraham Sánchez
FCFrancisco Ramos Campos
Francisco Ramos Campos

1 July 2017 in Journal of the Neurological Sciences
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Journal Article
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SASuellen Marinho Andrade
Suellen Marinho Andrade
RARenata Emanuela Lyra de Brito Aranha
Renata Emanuela Lyra de Brito Aranha
EOEliane Araújo de Oliveira
Eliane Araújo de Oliveira
CMCamila Teresa Ponce Leon de Mendonça
Camila Teresa Ponce Leon de Mendonça
WMWanessa Kallyne Nascimento Martins
Wanessa Kallyne Nascimento Martins
BFBernardino Fernández-calvo
Bernardino Fernández-calvo

2 July 2012 in Aging & Mental Health
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ICIsrael Contador
Israel Contador
BFBernardino Fernández-calvo
Bernardino Fernández-calvo
DPDavid L. Palenzuela
David L. Palenzuela
SMSoraia Miguéis
Soraia Miguéis
FCFrancisco Ramos Campos
Francisco Ramos Campos
The aim of this study was to investigate the predictors of burden for informal caregivers of patients with dementia. Based on a multidimensional approach of the optimism model proposed by Palenzuela, we assessed the moderating role of generalized expectancies of control (GEC) between caregiver stress and burden. A total of 130 patients with dementia and their main family caregivers were assessed from different rural areas of the province of Salamanca (Spain). Patients with dementia underwent a protocol to assess dementia stage, cognitive–functional impairment and behavioural symptoms. Meanwhile, the 20-item Battery of Generalized Expectancies of Control Scales of Palenzuela was completed by the family caregivers. Clinical variables of patients with dementia (progression and behavioural disorders) and GEC (success, self-efficacy, contingency, helplessness and luck) were considered as potential predictors of burden in the hierarchical regression analysis. The Zarit Burden Interview (ZBI) Scale was used as an outcome measure. The results indicated that the clinical variables could not predict burden in caregivers significantly; however, beliefs in personal abilities (self-efficacy) and internal locus of control (contingency) explained up to 32% of the variance in the ZBI scores. Family caregivers with high expectancies of self-efficacy and contingency are less vulnerable to stress. This research supports a base for interventions with informal caregivers and further study.

1 January 2020 in Archives of Gerontology and Geriatrics
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Pablo RuisotoPablo Ruisoto
Pablo Ruisoto
ICIsrael Contador
Israel Contador
BFBernardino Fernández-calvo
Bernardino Fernández-calvo
Lídia SerraLídia Serra
Lídia Serra
Cristina JenaroCristina Jenaro
Cristina Jenaro
JNJesús Navarro
Jesús Navarro

25 November 2010 in Journal of Alzheimer’s Disease
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JCJesús Cacho
Jesús Cacho
JBJulián Benito-León
Julián Benito-León
RGRicardo García-García
Ricardo García-García
BFBernardino Fernández-calvo
Bernardino Fernández-calvo
José Luis Vicente-VillardónJosé Luis Vicente-Villardón
José Luis Vicente-Villardón
AMAlex J. Mitchell
Alex J. Mitchell
There is currently a need to develop tools to identify patients with mild AD and mild cognitive impairment (MCI). We determined the validity and reliability of a brief, easily administered cognitive screening battery consisting of fusion of two well-

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PBPatricia Alzola Bordón
Patricia Alzola Bordón
CCCristóbal Carnero
Cristóbal Carnero
FBFélix Bermejo-Pareja
Félix Bermejo-Pareja
GSGonzalo Sánchez-Benavides
Gonzalo Sánchez-Benavides
JPJordi Peña-Casanova
Jordi Peña-Casanova
ICIsrael Contador
Israel Contador
Dementia remains an underdiagnosed syndrome, and there is a need to improve the early detection of cognitive decline. This narrative review examines the role of neuropsychological assessment in the characterization of cognitive changes associated with dementia syndrome at different states. The first section describes the early indicators of cognitive decline and the major barriers to their identification. Further, the optimal cognitive screening conditions and the most widely accepted tests are described. The second section analyzes the main differences in cognitive performance between Alzheimer’s disease and other subtypes of dementia. Finally, the current challenges of neuropsychological assessment in aging/dementia and future approaches are discussed. Essentially, we find that current research is beginning to uncover early cognitive changes that precede dementia, while continuing to improve and refine the differential diagnosis of neurodegenerative disorders that cause dementia. However, neuropsychology faces several barriers, including the cultural diversity of the populations, a limited implementation in public health systems, and the adaptation to technological advances. Nowadays, neuropsychological assessment plays a fundamental role in characterizing cognitive decline in the different stages of dementia, but more efforts are needed to develop harmonized procedures that facilitate its use in different clinical contexts and research protocols.