Advances in Understanding Fractals in Affective and Anxiety Disorders.

Journal: Advances in neurobiology

Volume: 36

Issue: 

Year of Publication: 2024

Affiliated Institutions:  Department of Psychology, University of Jaén, Jaén, Spain. siglesia@ujaen.es. Department of Mental Health Service, Hospital San Agustín de Linares, Linares, Spain. Department of Psychology, University of Jaén, Jaén, Spain.

Abstract summary 

In this chapter, we review the research that has applied fractal measures to the study of the most common psychological disorders, that is, affective and anxiety disorders. Early studies focused on heart rate, but diverse measures have also been examined, from variations in subjective mood, or hand movements, to electroencephalogram or magnetoencephalogram data. In general, abnormal fractal dynamics in different physiological and behavioural outcomes have been observed in mental disorders. Despite the disparity of variables measured, fractal analysis has shown high sensitivity in discriminating patients from healthy controls. However, and because of this heterogeneity in measures, the results are not straightforward, and more studies are needed in this promising line.

Authors & Co-authors:  Iglesias-Parro Soriano Ibáñez-Molina

Study Outcome 

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Statistics
Citations :  Sprott JC. Is chaos good for learning. Nonlinear Dynamics Psychol Life Sci. 2013;17(2):223–32.
Authors :  3
Identifiers
Doi : 10.1007/978-3-031-47606-8_36
SSN : 2190-5215
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Affective disorder;Anxiety;Complexity;Fractal
Study Design
Study Approach
Country of Study
Publication Country
United States