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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Possible confounding factors on cerebral diffusion tensor imaging measurements.

Miina Nenonen1, Ullamari Hakulinen1, Antti Brander1

  • 1Department of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.

Acta Radiologica Open
|March 21, 2015
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Aging significantly decreases frontal brain fractional anisotropy (FA) in diffusion tensor imaging (DTI) analysis. Other factors like gender and smoking showed inconsistent effects, requiring further investigation.

Keywords:
Central nervous systemadultsbraindiffusion tensor imaging

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Area of Science:

  • Neuroimaging
  • Radiology
  • Biomedical Engineering

Background:

  • Diffusion Tensor Imaging (DTI) is susceptible to systemic confounding factors.
  • Acknowledging these factors is crucial for accurate DTI interpretation.
  • Understanding confounders is key to avoiding false conclusions in neuroimaging studies.

Purpose of the Study:

  • To investigate the impact of age, gender, smoking, alcohol, and education on cerebral DTI parameters.
  • To assess potential confounding effects in a healthy adult cohort.
  • To evaluate DTI parameter variability in relation to lifestyle and demographic factors.

Main Methods:

  • Brain DTI acquired using 3T MRI in 40 healthy subjects.
  • Region-of-interest (ROI)-based analysis of fractional anisotropy (FA) and apparent diffusion coefficient (ADC).
  • Assessment of intra-observer variability and repeatability for DTI measurements.

Main Results:

  • Aging was consistently associated with decreased FA in frontal brain regions.
  • Effects of gender, smoking, and alcohol consumption on DTI parameters were inconsistent.
  • Intra-observer repeatability of DTI measurements was generally good.

Conclusions:

  • Age is a significant confounding factor in ROI-based DTI analysis.
  • Further research is needed to clarify the influence of gender, smoking, alcohol, and education on DTI.
  • DTI analysis requires careful consideration of demographic and lifestyle confounders.