Open Access
Multivariate base rates of low score on neuropsychological tests of individuals with coca paste use disorder
(Oxford University Press, 2023) Vergara Moragues, Esperanza; Acosta Barreto, María Rocío; Rivera, Diego; Santiago Ramajo, Sandra; González-Saiz, Francisco; Arango Lasprilla, Juan Carlos; Ciencias de la Salud; Osasun Zientziak
OBJECTIVE: The aim of this study was to determine the prevalence of low scores on eight commonly used neuropsychological tests to evaluate learning and memory, language, and executive functions in individuals with coca paste use disorders (CPUD) and to identify the differences with respect to a group of healthy nonconsuming subjects (HCs). METHODS: 162 Colombian adults with CPUD and a group of 162 Colombian adult HCs participated in this comparative study. Eight tests (eighteen test scores) were grouped into three categories: learning and memory, language, and executive functions. Each participant was categorized based on the number of low scoring tests in specific percentile cut-off groups (25th, 16th, 10th, 5th, and 2nd). RESULTS: In the learning and memory domain, 89.5% of individuals with CPUD and 55.6% of HCs scored below the 25th percentile on at least one of the five test scores, in the language domain, 80.7% of individuals with CPUD and 58% of HCs and in the executive function domain, 92% of individuals with CPUD and 67.3% of HCs. Having two or more scores below the 10th percentile or 10 or more at the 5th percentile shows an optimal cut-off for determining the sensitivity and specificity for discriminating between the two groups. CONCLUSIONS: The individuals with CPUD had a higher percentage of low scores than the HCs in the domains of learning and memory, language, and executive function. It is important for clinicians to be aware of low scores in individuals with CPUD to avoid false-positive diagnoses of cognitive impairment.
Open Access
Cognitive and brain connectivity trajectories in critically ill COVID-19 patients
(IOS Press, 2024) Ramos Usuga, Daniela; Jiménez-Marín, Antonio; Cabrera-Zubizarreta, Alberto; Benito Sánchez, Itziar; Rivera, Diego; Martínez-Gutiérrez, Endika; Panera, Elena; Boado, Victoria ; Labayen, Fermín; Cortés, Jesús M.; Arango Lasprilla, Juan Carlos; Ciencias de la Salud; Osasun Zientziak
BACKGROUND: Multiple Organ failure (MOF) is one of the main causes of admission to the Intensive Care Unit (ICU) of patients infected with COVID-19 and can cause short- and long-term neurological deficits. OBJECTIVE: To compare the cognitive functioning and functional brain connectivity at 6-12 months after discharge in two groups of individuals with MOF, one due to COVID-19 and the other due to another cause (MOF-group), with a group of Healthy Controls (HC). METHODS: Thirty-six participants, 12 from each group, underwent a neuropsychological and neuroimaging assessment at both time-points. Functional connectivity of the resting state networks was compared between COVID-19 and HC while controlling for the effect of MOF. The association between functional connectivity and neuropsychological performance was also investigated. RESULTS: Compared to the HC, COVID-19 group demonstrated hypoconnectivity between the Default Mode Network and Salience Network. This pattern was associated with worse performance on tests of attention and information processing speed, at both time-points. CONCLUSION: The study of the association between cognitive function and brain functional connectivity in COVID-19 allows the understanding of the short- and long-term neurological alterations of this disease and promotes the development of intervention programs to improve the quality of life for this understudied population.
Open Access
A deep learning approach for automated scoring of the Rey-Osterrieth complex figure
(eLife Sciences Publications, 2024-11-28) Langer, Nicolas; Weber, Maurice; Hebling Vieira, Bruno; Strzelczyk, Dawid; Wolf, Lukas; Pedroni, Andreas; Heitz, Jonathan; Müller, Stephan; Schultheiss, Christoph; Troendle, Marius; Arango Lasprilla, Juan Carlos; Rivera, Diego; Scarpina, Federica; Zhao, Qianhua; Leuthold, Rico; Wehrle, Flavia; Jenni, Oskar; Brugger, Peter; Zaehle, Tino; Lorenz, Romy ; Zhang, Ce; Ciencias de la Salud; Osasun Zientziak
Memory deficits are a hallmark of many different neurological and psychiatric conditions. The Rey-Osterrieth complex figure (ROCF) is the state-of-the-art assessment tool for neuropsychologists across the globe to assess the degree of non-verbal visual memory deterioration. To obtain a score, a trained clinician inspects a patient's ROCF drawing and quantifies deviations from the original figure. This manual procedure is time-consuming, slow and scores vary depending on the clinician's experience, motivation, and tiredness. Here, we leverage novel deep learning architectures to automatize the rating of memory deficits. For this, we collected more than 20k hand-drawn ROCF drawings from patients with various neurological and psychiatric disorders as well as healthy participants. Unbiased ground truth ROCF scores were obtained from crowdsourced human intelligence. This dataset was used to train and evaluate a multihead convolutional neural network. The model performs highly unbiased as it yielded predictions very close to the ground truth and the error was similarly distributed around zero. The neural network outperforms both online raters and clinicians. The scoring system can reliably identify and accurately score individual figure elements in previously unseen ROCF drawings, which facilitates explainability of the AI-scoring system. To ensure generalizability and clinical utility, the model performance was successfully replicated in a large independent prospective validation study that was pre-registered prior to data collection. Our AI-powered scoring system provides healthcare institutions worldwide with a digital tool to assess objectively, reliably, and time-efficiently the performance in the ROCF test from hand-drawn images.
Open Access
Multivariate base rates of low scores on tests of learning and memory among Spanish speaking children
(Taylor & Francis, 2020) Benito Sánchez, Itziar; Ertl, Melissa M.; Ferrer Cascales, Rosario; Oltra Cucarella, Javier; Ibáñez Alfonso, Joaquín A.; Saracostti Schwartzman, Mahia; Soto Añari, Marcio; Cadavid Ruiz, Natalia; Rodríguez Lorenzana, Alberto; Rivera, Diego; Arango Lasprilla, Juan Carlos; Ciencias de la Salud; Osasun Zientziak
To determine the prevalence of low scores on two neuropsychological tests commonly used to evaluate learning and memory in children. 6,030 healthy children from 10 countries in Latin America and Spain were administered Rey–Osterrieth Complex Figure (ROCF) and the Test de Aprendizaje y Memoria Verbal–Infantil (TAMV-I). Results showed that low scores are common when multiple neuropsychological outcomes (tests and/or scores) are evaluated in healthy individuals. Clinicians should consider the higher probability of low scores in a given individual when evaluating learning and memory using various sets of scores to reduce false-positive diagnoses of cognitive deficits in pediatric populations.
Open Access
Normative data for ten neuropsychological tests for the Guatemalan pediatric population updated to account for vulnerability
(MDPI, 2021) Ibáñez Alfonso, Joaquín A.; Company-Córdoba, Rosalba; Cadena, Claudia de la; Simpson, Ian C.; Rivera, Diego; Sianes, Antonio; Ciencias de la Salud; Osasun Zientziak
The Guatemalan pediatric population is affected by a high incidence of poverty and violence. The previous literature showed that these experiences may ultimately impact cognitive performance. The aim of this article is to update the standardized scores for ten neuropsychological tests commonly used in Guatemala considering vulnerability. A total of 347 healthy children and adolescents from 6 to 17 years of age (M = 10.83, SD = 3) were assessed, controlling for intelligence, mental health and neuropsychological history. The standard scores were created using multiple linear regression and standard deviations from residual values. The predictors included were the following: Age, age squared (age2), mean parental education (MPE), mean parental education squared (MPE2), gender, and vulnerability, as well as their interaction. The vulnerability status was significant in the scores for language, attention and executive functions. To the best of our knowledge, this is the first study that includes the condition of vulnerability in the calculation of neuropsychological standard scores. The utility of this update is to help in the early detection of special needs in this disadvantaged population, promoting more accurate interventions in order to alleviate the negative effects that living in vulnerable conditions has on children and adolescents.