# Discriminating between proposed Brain-First and Body-First Parkinson’s disease using conventional and radiomics-enhanced dopamine transporter SPECT image analysis

**Authors:** Giovanni Palermo, Gayanè Aghakhanyan, Gabriele Bellini, Sara Giannoni, Gabriele Vadi, Roberto Francischello, Giovanna Nonne, Maria Giulia Tedeschi, Riccardo Morganti, Daniela Frosini, Nicola Pavese, Duccio Volterrani, Roberto Ceravolo

PMC · DOI: 10.1038/s41531-025-01164-z · NPJ Parkinson's Disease · 2025-11-20

## TL;DR

This study investigates whether dopamine transporter SPECT imaging can distinguish between two proposed Parkinson’s disease subtypes, finding that imaging does not separate them at diagnosis.

## Contribution

The study is the first to evaluate radiomics-enhanced and conventional DAT-SPECT imaging for differentiating 'Brain-First' and 'Body-First' Parkinson’s subtypes.

## Key findings

- DAT-SPECT asymmetry indices and DaTQUANT metrics did not differ between 'Brain-First' and 'Body-First' subtypes.
- Radiomics-based classification showed poor discrimination (AUC ≈ 0.46) between the two subtypes.
- 'Body-First' patients had worse non-motor progression, including higher MCI prevalence and greater MMSE decline.

## Abstract

Two Parkinson’s disease subtypes—“Brain-First” and “Body-First”—have been proposed based on putative sites of onset. We examined whether “Body-First” markers relate to more symmetric striatal [123I]-FP-CIT uptake and whether imaging could discriminate the subtypes. In a retrospective cohort of 158 de novo PD patients imaged at diagnosis and followed for six years, patients were classified as “Body-First” if baseline REM sleep behavior disorder, constipation, or neurogenic orthostatic hypotension was present. DaTQUANT provided semiquantitative metrics; a radiomics-based classifier was also trained on DAT-SPECT images. Neither asymmetry indices nor other DaTQUANT measures differed between groups (all p > 0.05). Radiomics showed poor discrimination (AUC ≈ 0.46). Clinically, “Body-First” patients displayed a more adverse course, with higher MCI prevalence and greater MMSE decline and neuropsychiatric burden, whereas motor severity and complications were comparable between groups. These data suggest DAT-SPECT—conventional or radiomics-enhanced—does not separate proposed subtypes at diagnosis, although “Body-First” features forecast worse non-motor progression.

## Linked entities

- **Chemicals:** [123I]-FP-CIT (PubChem CID 3086674)
- **Diseases:** Parkinson’s disease (MONDO:0005180), REM sleep behavior disorder (MONDO:0005937), neurogenic orthostatic hypotension (MONDO:0015914)

## Full-text entities

- **Genes:** SLC6A3 (solute carrier family 6 member 3) [NCBI Gene 6531] {aka DAT, DAT1, PKDYS, PKDYS1}
- **Diseases:** PD (MESH:D010300), neuropsychiatric burden (MESH:C000631768), constipation (MESH:D003248), REM sleep behavior disorder (MESH:D020187), neurogenic orthostatic hypotension (MESH:D007024)
- **Chemicals:** 123I]-FP-CIT (MESH:C087552)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12635385/full.md

## References

14 references — full list in the complete paper: https://tomesphere.com/paper/PMC12635385/full.md

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Source: https://tomesphere.com/paper/PMC12635385