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Related Experiment Video

Updated: Jun 10, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
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Published on: September 8, 2021

Striatal DAT-SPECT texture beyond mean binding in major depressive disorder.

Takehiro Tamura1, Shuhei Abe1, Hitomi Matsui2

  • 1Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.

Journal of Affective Disorders
|June 8, 2026
PubMed
Summary

Radiomic texture analysis of dopamine transporter (DAT) SPECT imaging in major depressive disorder (MDD) reveals patterns beyond simple binding. These texture signatures correlate with depressive severity and predict treatment intensity, offering new insights into MDD pathophysiology.

Keywords:
(123)I-ioflupaneDopamine transporterMajor depressive disorderRadiomicsSPECTTexture analysis

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Last Updated: Jun 10, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)

Published on: November 27, 2019

Area of Science:

  • Neuroimaging
  • Psychiatry
  • Radiomics

Background:

  • Dopaminergic dysfunction is linked to major depressive disorder (MDD).
  • Conventional dopamine transporter (DAT) imaging shows inconsistent findings.
  • Mean binding metrics may miss spatially heterogeneous DAT uptake alterations.

Purpose of the Study:

  • To investigate if low-dimensional texture signatures from striatal DAT-SPECT provide additional information beyond mean binding.
  • To assess the association of texture metrics with depressive severity and treatment intensity.

Main Methods:

  • Retrospective analysis of DAT-SPECT (123I-ioflupane) in 223 MDD patients.
  • Quantification of bilateral striatal mean binding and texture metrics.
  • Texture features summarized into entropy/complexity and scale/run-length domains.
  • Ordinal regression models adjusted for covariates tested associations with severity and treatment intensity proxy.

Main Results:

  • Mean binding did not improve model fit for severity or treatment intensity.
  • Adding texture domains significantly improved model fit for both severity (p=0.024) and treatment intensity (p=0.0048).
  • Higher texture scores correlated with increased probability of severe depression and need for electroconvulsive therapy (ECT).

Conclusions:

  • A two-domain texture summary of striatal DAT-SPECT offers incremental value over mean binding.
  • Texture signatures are associated with depressive severity and treatment intensity in MDD.
  • This approach may enhance understanding of DAT imaging in MDD.