ReviewAdvances in neurobiology2024
Fractal Dimension Analysis in Neurological Disorders: An Overview.
Review in Advances in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Structural Brain Changes Are Linked to Clinical and Cognitive Outcomes in Anti-LGI1 Encephalitis.Neurology(R) neuroimmunology & neuroinflammation · 2026Observational
- Structural brain alterations associated with brain age may link to social dysfunction in male adults with autism spectrum disorder.Frontiers in neuroscience · 2026Article
- Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns.Nature neuroscience · 2026Article
- Association of structural brain changes with cognitive deficits and fatigue in patients with post-COVID-19 condition.Brain communications · 2026Article
- Cortical changes in women with systemic lupus erythematosus with mild cognitive impairment: a voxel-based morphometry and surface-based morphometry study.Lupus science & medicine · 2025Article
- Article
- Computational Fractal-Based Neurosurgery.Advances in experimental medicine and biology · 2024Review
- Editorial: Methods and application in fractal analysis of neuroimaging data.Frontiers in human neuroscience · 2024Article
- Complexity of fractal dimension patterns and machine learning-based classification of altered motor cortical oscillatory activity in rodent models of Parkinson disease.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.