Sabela C. Mallo

Sabela C. Mallo
University of Santiago de Compostela | USC · Developmental Psychology

PhD in Developmental Psychology

About

42
Publications
2,400
Reads
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285
Citations
Citations since 2017
39 Research Items
285 Citations
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Introduction
I am currently working as a professor at the Department of Developmental Psychology, Universidade de Santiago de Compostela (Spain). My research is focused on Neuropsychiatric Symptoms in Mild Cognitive Impairment and Subjective Cognitive Decline.

Publications

Publications (42)
Article
The validity of Subjective Cognitive Complaints (SCCs) from dyadic patterns to predict progression to dementia is not yet clear. Some studies suggest that the validity of informant report in predicting dementia increases as cognitive function and awareness of symptoms decline. Our aim was to compare validity of informant and participant reports, an...
Article
Background Subjective cognitive complaints (SCCs) are considered a risk factor for objective cognitive decline and conversion to dementia. The aim of this study was to determine whether self-reported or informant-reported SCCs best predict progression to mild cognitive impairment (MCI) and/or dementia. Methods We reviewed prospective longitudinal...
Article
Objective: Semantic verbal fluency constitutes a good candidate for identifying cognitive impairment. This paper offers normative data of different semantic verbal fluency tests for middle-aged and older adults natives from Spain considering sociodemographic factors, and different measures for each specific category (number of words produced, erro...
Poster
Severity of the neuropsychiatric symptoms (NPS) is expected to have a negative impact on IADL, adding to the effect that cognitive decline can have and could lead to further impairment of functionality. Our objective was to analyze differences in IADL between two longitudinal evaluations in SCC participants with null, intermediate, or high levels o...
Conference Paper
Subjective cognitive complaints (SCCs) are a risk factor to dementia. Self‐ and informant‐reports may have different predictive validity along the cognitive decline continuum. We aimed to analyze longitudinal differences between self‐ and informant‐reports in stable(‐s) and worsening(‐w) SCD and MCI participants, and the predictive value of these r...
Poster
Background: Cognitive training has been found to be effective in preventing and delaying cognitive decline in MCI and early dementia, and gains could be enhanced with transcranial electrical stimulation (tDCS). Cognitive-training applications (app) allow remote interventions, optimize the cost-benefit ratio, and a continuous monitoring. Most of ap...
Article
Background: The presence of subjective cognitive complaints (SCCs) is a core criterion for diagnosis of subjective cognitive decline (SCD); however, no standard procedure for distinguishing normative and non-normative SCCs has yet been established. Objective: To determine whether differentiation of participants with SCD according to SCC severity...
Conference Paper
Neurobehavioral Symptoms (NPS) have been usually measured with the Neuropsychiatric‐Inventory (NPI‐Q) (Kaufer et al., 2000) in pre‐dementia individuals. However, this instrument was designed to dementia states. The Mild Behavioral Impairment Checklist (MBI‐C) (Ismail et al., 2017) is an instrument developed to evaluate NPS in pre‐dementia states, i...
Poster
Characterization of mild cognitive impairment (MCI) for clinical and research purposes involves identification of biological and neuropsychological markers in order to predict possible progression to dementia. The main aim of this work was to analyze the correlation of anthropometric measurements and plasmatic levels of leptin, testosterone and est...
Poster
Presence of significant subjective complaints about cognition (SCD) is considered the first behavioral manifestation of Alzheimer disease (AD). However, SCD has not yet overcome the challenge of becoming a reliable preclinical AD marker. Severity indices were proposed to improve the accuracy of complaints when predicting the risk of AD (Jessen et a...
Article
Background Mild cognitive impairment (MCI), as a stage in the cognitive continuum between normal ageing and dementia, is mainly characterized by memory impairment. The aims of this study were to examine CANTAB measures of temporal changes of visual memory in MCI and to evaluate the usefulness of the baseline scores for predicting changes in cogniti...
Article
Full-text available
Background The Tip-of-the-Tongue (ToTs) state is considered a universal phenomenon and is a frequent cognitive complaint in old age. Previous cross-sectional studies have found that ToT measures successfully discriminate between cognitively unimpaired adults and adults with Mild Cognitive Impairment (MCI). The aim of this study was to identify long...
Article
Background: Neuropsychiatric Symptoms (NPS) are common in Mild Cognitive Impairment (MCI). The Neuropsychiatric Inventory (NPI) and its shorter version, the Neuropsychiatric Inventory Questionnaire (NPI-Q), are the most common measures to assess NPS. Our objective was to determine if NPI/NPI-Q ratings predict conversion from MCI to dementia. Meth...
Article
Full-text available
(1) Background: Early identification of mild cognitive impairment (MCI) in people reporting subjective cognitive complaints (SCC) and the study of progression of cognitive decline are important issues in dementia research. This paper examines whether empirically derived procedures predict progression from MCI to dementia. (2) Methods: At baseline,...
Article
Objective To study the influence of cognitive reserve (CR) on cognitive performance of individuals with subjective cognitive complaints (SCCs) within a period of 36 months. Design We used a general linear model repeated measures procedure to analyze the differences in performance between three assessments. We used a longitudinal structural equatio...
Article
Objectives To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not. Design Mann-Whitney U and ML analysis. Nine ML algorithms were evaluated using a 10-fold stratified validation procedure. Performance metrics (accuracy, recall, F-1 scor...
Article
Objectives: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not. Design: Mann-Whitney U and ML analysis. Nine ML algorithms were evaluated using a 10-fold stratified validation procedure. Performance metrics (accuracy, recall, F-1 sco...
Article
Background: Neuropsychiatric symptoms (NPS) are non-cognitive, behavioral, or psychiatric symptoms, common in mild cognitive impairment (MCI) and associated with a higher risk of dementia. Mild behavioral impairment (MBI) is a validated diagnostic entity, that describes the emergence of later life NPS in pre-dementia states. The Mild Behavioral Im...
Article
Objectives To estimate the prevalence of Mild Behavioral Impairment (MBI) in people with Subjective Cognitive Decline (SCD), and validate the Mild Behavioral Impairment Checklist (MBI-C) with respect to score distribution, sensitivity, specificity, and utility for MBI diagnosis, as well as correlation with other neuropsychological tests. Design Co...
Article
Full-text available
Brain stimulation can modulate the activity of neural circuits impaired by Alzheimer’s disease (AD), having promising clinical benefit. However, all individuals with the same condition currently receive identical brain stimulation, with limited theoretical basis for this generic approach. In this study, we introduce a control theory framework for o...
Data
The effect of the variability in the regions’ natural frequencies on the performance of the controllers. Each node is assigned a random natural frequency. The values in the horizontal axis represent the maximum possible difference between a node’s random time constant and the fixed values in S3 Table (given as a percentage of the fixed values). a)...
Data
Optimal control theory and control matrices. (DOCX)
Data
IDs of the ADNI subjects included in the study. (DOCX)
Data
Demographic characteristics of the 41 ADNI subjects included in the study. (DOCX)
Data
Controlling the Alzheimer’s pathological EEG activity (linear case). a) Start of the simulations for the ADNI subject identified as ‘5119’. The evolution of the postsynaptic potential over one region is shown only. Others behave analogously. The desired trajectory corresponds to a ‘healthy’ low-amplitude alpha-band oscillation. The model can also p...
Data
The effect of the local topological measures on the performance of the controllers (linear case). Relationship between the mean inverse of the cost across the sample and the mean node strength (a) (linear regression: F(1,76) = 105.72, P < 0.001), eccentricity (b) (linear regression: F(1,76) = 46.58, P < 0.001), closeness centrality (c) (linear regr...
Data
The effect of modeling with different natural frequencies on the performance of the controllers. (DOCX)
Article
Full-text available
La percepción de autoeficacia se ha manifestado como una importante variable mediadora del comportamiento humano y, más concretamente, del desempeño académico, afectando, entre otros, al nivel de aspiraciones, al desarrollo de intereses, y a la elección de actividades. En este trabajo se estudia la relación existente entre percepción de autoeficaci...

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Projects

Projects (2)
Project
This is a collaborative project carried out between several research centers in Spain, whose main aim is to obtain normative data in a broad set of cognitive test in the adult population.
Project
Aim: To identify early markers of MCI in people older 50 atending primary care centers with subjective memory complaints and patterns of change and/or progression from MCI to AD. We include cognitive, functional, neuropsychiatric, psychophysiological (by ERP), genetic, biochemical (in blood and cerebrospinal fluid) and structural (MRI) and functional (fMRI) neuroimaging markers.