Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples.
Eur J Neurosci
; 55(6): 1547-1583, 2022 03.
Article
em En
| MEDLINE
| ID: mdl-35229388
ABSTRACT
Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci-gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty-two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Imageamento por Ressonância Magnética
/
Fractais
Tipo de estudo:
Systematic_reviews
Idioma:
En
Revista:
Eur J Neurosci
Assunto da revista:
NEUROLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Itália