Fractal Dimension Analysis in Neurological Disorders: An Overview.
Adv Neurobiol
; 36: 313-328, 2024.
Article
en En
| MEDLINE
| ID: mdl-38468040
ABSTRACT
Fractal analysis has emerged as a powerful tool for characterizing irregular and complex patterns found in the nervous system. This characterization is typically applied by estimating the fractal dimension (FD), a scalar index that describes the topological complexity of the irregular components of the nervous system, both at the macroscopic and microscopic levels, that may be viewed as geometric fractals. Moreover, temporal properties of neurophysiological signals can also be interpreted as dynamic fractals. Given its sensitivity for detecting changes in brain morphology, FD has been explored as a clinically relevant marker of brain damage in several neuropsychiatric conditions as well as in normal and pathological cerebral aging. In this sense, evidence is accumulating for decreases in FD in Alzheimer's disease, frontotemporal dementia, Parkinson's disease, multiple sclerosis, and many other neurological disorders. In addition, it is becoming increasingly clear that fractal analysis in the field of clinical neurology opens the possibility of detecting structural alterations in the early stages of the disease, which highlights FD as a potential diagnostic and prognostic tool in clinical practice.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Demencia Frontotemporal
/
Enfermedad de Alzheimer
Límite:
Humans
Idioma:
En
Revista:
Adv Neurobiol
Año:
2024
Tipo del documento:
Article
País de afiliación:
España
Pais de publicación:
Estados Unidos