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Psicopatología y complejidad: de la linealidad a la autoorganización

Authors: Ariel César Núnez Rojas; Universidad de Manizales; Sergio Tobón; Universidad Complutense de Madrid; Diana Arias Henao; Stefano Vinaccia Alpi; Universidad de San Buenaventura; +2 Authors

Psicopatología y complejidad: de la linealidad a la autoorganización

Abstract

Resumen El objetivo de este artículo es realizar un análisis en torno al concepto de complejidad en psicopatología. Se discuten dos tesis: una aborda la complejidad como organización y mantiene el empleo único de las técnicas estadísticas tradicionales; la segunda postula la no linealidad de los procesos psicopatológicos y la necesidad de asumirlos desde el caos, la particularidad y las catástrofes. Se defiende una tesis alternativa: los trastornos psicopatológicos, si bien es cierto no son lineales, son susceptibles de ser abordados desde regularidades a partir de estudios grupales, como también son tejidos de relaciones dependientes de un contexto, en constante dinámica, dentro del marco de interacciones con estructuras mayores (como la identidad) que requieren de investigaciones sistémicas a fin de comprender su naturaleza. Abstract The objective of this article is to carry out an analysis on the concept of complexity in psychopathology. Two theses are discussed. One approaches complexity as organization and maintains the sole use of traditional statistic techniques. The second, postulates the non-linearity of psychopathological processes and the need to take them on from the point of view of chaos, particularity and catastrophes. An alternative thesis upholds: psychopathological breakdown (which is constantly dynamic), if it is certain that it is not linear, is susceptible to being approached from regularities on the part of group studies, as they are also woven from relationships depending on a context, which is constantly dynamic, within the framework of interactions with major structures (like identity) which require systemic research with the aim of understanding its nature.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green