Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging - Report - MDSpire

Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging

  • By

  • Marta Reales-Moreno

  • Alexandra Korda

  • Stefan Borgwardt

  • May 26, 2026

  • 0 min

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Clinical Report: Unveiling Complexity in Psychiatric Neuroimaging

Overview

This systematic review explores the applications of fractal analysis in psychiatric neuroimaging.

Background

The complexity of psychiatric diagnoses often leads to significant treatment gaps, with many individuals not receiving necessary care. Traditional diagnostic methods rely heavily on observable symptoms.

Data Highlights

No numerical data was provided in the source material.

Key Findings

  • Fractal analysis can characterize both structural and functional aspects of the brain.
  • This method has been applied to various psychiatric conditions, including schizophrenia and depression.
  • Fractal patterns may reveal insights into age-related changes and pathological conditions.
  • The review identifies a gap in systematic examinations of fractal patterns across multiple psychiatric diagnoses.

Clinical Implications

The integration of fractal analysis in psychiatric neuroimaging may provide clinicians with deeper insights into brain organization, potentially leading to more accurate diagnoses. This approach could also guide future research directions in psychiatric conditions.

Conclusion

Fractal analysis represents a promising tool in psychiatric neuroimaging, with the potential to enhance diagnostic practices and understanding of complex brain patterns in mental health.

Related Resources & Content

  1. Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging, European Radiology, 2026 -- Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging
  2. npj Digital Medicine — A Systems Dynamics Approach to Tailored Psychiatry
  3. Frontiers in Neurology — Multimodal MRI reveals three-tiered pathological co-alterations in prolonged disorders of consciousness: structural disconnection, network disintegration, and regional hyperconnectivity
  4. Brain — Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders
  5. BMC Psychiatry (Springer) — Dynamic functional connectivity and coupling analysis of triple networks and white matter functional networks in first-episode schizophrenia patients: mechanisms revealed by follow-up studies
  6. Structural neuroimaging in first-episode psychosis | Guidance | NICE
  7. A Systems Dynamics Approach to Tailored Psychiatry
  8. Multimodal MRI reveals three-tiered pathological co-alterations in prolonged disorders of consciousness
  9. Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders
  10. Dynamic functional connectivity and coupling analysis of triple networks in first-episode schizophrenia patients
  11. Estimating multimodal brain variability in schizophrenia spectrum disorders: A worldwide ENIGMA study
  12. Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging | European Radiology | Springer Nature Link

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