CRISTINA
LOJO SEOANE
PhD hired professor
ARTURO JOSE
PEREIRO ROZAS
Senior university lecturer
Publications by the researcher in collaboration with ARTURO JOSE PEREIRO ROZAS (52)
2024
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A narrative video game for adults with subjective and objective cognitive impairment. Design and preliminary results on user-interaction and efficacy
Behaviour and Information Technology, Vol. 43, Núm. 8, pp. 1518-1530
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Predicting progression of cognitive decline to dementia using dyadic patterns of subjective reporting: evidence from the CompAS longitudinal study
Frontiers in Aging Neuroscience, Vol. 16
2023
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Neuroanatomical and neurocognitive changes associated with subjective cognitive decline
Frontiers in Medicine, Vol. 10
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Normative scores for attentional tests used by the Spanish consortium for ageing normative data (SCAND) study: Trail Making Test, Digit Symbol and Letter Cancellation
Clinical Neuropsychologist, Vol. 37, Núm. 8, pp. 1766-1786
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Predicting progression within the cognitive decline continuum using self‐ and partner‐reported cognitive complaints, and depressive symptomatology in Cognitively Unimpaired (CU) and Subjective Cognitive Decline (SCD) participants: Evidence from the CompAS longitudinal study
Alzheimer's & Dementia, Vol. 19, Núm. S18
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Underlying structure of the MBI‐C in pre‐symptomatic and prodromic states of dementia: A multidimensional scaling approach
Alzheimer's & Dementia, Vol. 19, Núm. S4
2022
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Brain Atrophy and Clinical Characterization of Adults With Mild Cognitive Impairment and Different Cerebrospinal Fluid Biomarker Profiles According to the AT(N) Research Framework of Alzheimer’s Disease
Frontiers in Human Neuroscience, Vol. 16
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Cognitive reserve, neurocognitive performance, and high-order resting-state networks in cognitively unimpaired aging
Neurobiology of Aging, Vol. 117, pp. 151-164
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Prediction of Progression Along the Transition Points within the Continuum of Cognitive Impairment from Subjective Cognitive Complaints to Dementia Using Dyadic Patterns of Subjective Reporting
Alzheimer's & Dementia, Vol. 18, Núm. S7
2021
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Changes in visual memory in mild cognitive impairment: A longitudinal study with CANTAB
Psychological Medicine, Vol. 51, Núm. 14, pp. 2465-2475
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Effects of cognitive training on memory in SCD and MCI participants: Preliminary results of a single-blind RCT comparing a web-based application and a narrative videogame
Alzheimer's & dementia : the journal of the Alzheimer's Association, Vol. 17, pp. e053520
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Longitudinal differences in instrumental activities of daily living (AIDLs) in participants with subjective cognitive complaints (SCCs) according to neuropsychiatric symptoms (NPS) severity
Alzheimer's & Dementia, Vol. 17, Núm. S6
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Longitudinal study on subjective cognitive complains from patients and informants: Differences between stable and worsening SCD and MCI participants and prediction of cognitive decline
Alzheimer's & Dementia, Vol. 17, Núm. S6
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Relevance of complaint severity in predicting the progression of subjective cognitive decline and mild cognitive impairment: A machine learning approach
Journal of Alzheimer's Disease, Vol. 82, Núm. 3, pp. 1229-1242
2020
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Cognitive reserve and working memory in cognitive performance of adults with subjective cognitive complaints: Longitudinal structural equation modeling
International Psychogeriatrics, Vol. 32, Núm. 4, pp. 515-524
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Correlation between regional brain atrophy, cognitive function, adipose tissue and CSF biomarkers in mild cognitive impairment
Alzheimer's & Dementia, Vol. 16, Núm. S4
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Longitudinal Patterns of the Tip-of-the-Tongue Phenomenon in People With Subjective Cognitive Complaints and Mild Cognitive Impairment
Frontiers in Psychology, Vol. 11
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Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: A machine learning approach
International Psychogeriatrics, Vol. 32, Núm. 3, pp. 381-392
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Neuropsychiatric symptoms in subjective cognitive complaints (SCC) and mild cognitive impairment (MCI): Detecting changes over time with the Mild Behavioral Impairment Checklist (MBI‐C)
Alzheimer's & Dementia, Vol. 16, Núm. S6
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Predicting progression in subjective cognitive decline (SCD) using a machine learning (ML) approach: The role of the complaint’s severity
Alzheimer's & Dementia, Vol. 16, Núm. S6