Publicacións nas que colabora con ONESIMO JUNCOS RABADAN (33)

2026

  1. The Role of Dyads in Subjective Reporting and Prediction of Cognitive Worsening in Cognitively Unimpaired Individuals and Individuals with Subjective Cognitive Decline: Results of the CompAS Longitudinal Study

    Archives of Clinical Neuropsychology, Vol. 41, Núm. 3

  2. The role of verbal episodic memory in progression to mild cognitive impairment: The influence of serial position effects

    International Psychogeriatrics

2025

  1. Clinical Manifestations

    Alzheimer's & dementia : the journal of the Alzheimer's Association, Vol. 21, pp. e105031

  2. Clinical Manifestations

    Alzheimer's & dementia : the journal of the Alzheimer's Association, Vol. 21, pp. e099858

2024

  1. 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

  2. A systematic review of quality of life (QoL) studies using the CASP scale in older adults

    Quality of Life Research, Vol. 33, Núm. 11, pp. 2915-2927

  3. Clinical Manifestations

    Alzheimer's & dementia : the journal of the Alzheimer's Association, Vol. 20, pp. e091582

2023

  1. Association between Mild Behavioral Impairment trajectories and AD biomarkers in adults with Mild Cognitive Impairment. Results from the CompAS study

    Alzheimer's & Dementia, Vol. 19, Núm. S14

  2. 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

2022

  1. Do informant-reported subjective cognitive complaints predict progression to mild cognitive impairment and dementia better than self-reported complaints in old adults? A meta-analytical study

    Ageing Research Reviews, Vol. 82

  2. 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

  1. Changes in visual memory in mild cognitive impairment: A longitudinal study with CANTAB

    Psychological Medicine, Vol. 51, Núm. 14, pp. 2465-2475

  2. 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

  3. 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

  4. 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

  1. 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

  2. Does the neuropsychiatric inventory predict progression from mild cognitive impairment to dementia? A systematic review and meta-analysis

    Ageing Research Reviews, Vol. 58

  3. Longitudinal Patterns of the Tip-of-the-Tongue Phenomenon in People With Subjective Cognitive Complaints and Mild Cognitive Impairment

    Frontiers in Psychology, Vol. 11

  4. 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

  5. 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