
Juan A. AriasUniversity of Santiago de Compostela | USC · Departamento de Estadística e Investigación Operativa
Juan A. Arias
Neurosciences and Clinical Psychology Ph.D Student
About
10
Publications
23,698
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Introduction
Neurobiologist working as research assistant at GRID-BDS with an interest for biostatistics and its application to neurosciences. I process neuro-images, extract data, analyse, code, and evaluate methods for Alzheimer's diagnosis.
Former research assistant at Swansea University for Prof. Andrew H. Kemp in his research on psychology, epidemiology, and public health.
https://juan-arias.xyz
Additional affiliations
April 2021 - June 2021
Education
October 2018 - July 2021
September 2018 - July 2021
Universities of A Coruña (UDC) and Santiago de Compostela (USC)
Field of study
September 2016 - June 2021
Publications
Publications (10)
Humanity is facing an increasing burden of chronic disease and an aging population that will lead to more years lived with disability. Dealing with these issues is difficult, made more so by deteriorating social ties and decline in social connectedness, which may also impact on health and wellbeing. However, research on the association between soci...
Sadness is characterized by raised inner eyebrows, lowered corners of the mouth, reduced walking speed and slumped posture. Ancient subcortical circuitry provides a neuroanatomical foundation, extending from dorsal periaqueductal grey to subgenual anterior cingulate, the latter of which is now a treatment target in disorders of sadness. Sadness is...
Functional Data Analysis (FDA) is the field of statistics which deals with the analysis of data expressed in the form of functions, which is extensible to data in the form of images. In a recent publication, Wang et al. [1] settled the mathematical groundwork for the application of FDA to the estimation of mean function and simultaneous confidence...
In the field of medical imaging, one of the most extended research setups consists of the comparison between two groups of images, a pathological set against a control set, in order to search for statistically significant differences in brain activity. Functional Data Analysis (FDA), a relatively new field of statistics dealing with data expressed...
Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective const...
Alzheimer's disease (AD) is a chronic neurodegenerative condition responsible for most cases of dementia and considered as one of the greatest challenges for neuroscience in this century. Early AD signs are usually mistaken for normal age-related cognitive dysfunctions, thus patients usually start their treatment in advanced stages when its benefit...
We present here a unifying framework for affective phenomena: the Human Affectome. By synthesizing a large body of literature, we have converged on definitions that disambiguate the commonly used terms—affect, feeling, emotion, and mood. Based on this definitional foundation, and under the premise that affective states reflect allostatic concerns,...
Functional Data Analysis (FDA) is a relatively new field of statistics dealing with data expressed in the form of functions. FDA methodologies can be easily extended to the study of imaging data, an application proposed in Wang et al. (2020), where the authors settle the mathematical groundwork and properties of the proposed estimators. This method...
Alzheimer's disease (AD) is a chronic neurodegenerative condition responsible for most cases of dementia and considered as one of the greatest challenges for neuroscience in this century. Early Ad signs are usually mistaken for normal age-related cognitive dysfunctions, thus patients usually start their treatment in advanced AD stages, when its ben...