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Comparative analysis of striatal subregions in behavioral variant frontotemporal dementia and late-life schizophrenia: A multimodal MRI study
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Comparative analysis of striatal subregions in behavioral variant frontotemporal dementia and late-life schizophrenia: A multimodal MRI study

International Psychogeriatrics·September 11Open Access
Psychology, ClinicalLimited evidenceBehavioral Variant Frontotemporal DementiaLate-Life SchizophreniaCross-Sectional StudyResting-State Functional MRIStructural MRIOlder Adult

Summary

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What was studied

This multimodal MRI study compared striatal subregional gray matter volume, resting-state functional connectivity (RSFC), and neurotransmitter spatial correlations among 36 bvFTD patients, 21 late-life schizophrenia patients, and 56 healthy controls, alongside neurocognitive and behavioral assessments.

Key findings

bvFTD showed the greatest striatal gray matter loss, followed by late-life schizophrenia. Both groups shared aberrant RSFC in the right nucleus accumbens and bilateral dorsolateral putamen, but bvFTD had unique intra-striatal dysconnectivity (left nucleus accumbens ↔ right putamen; left dorsal caudate ↔ left ventral caudate). bvFTD also showed lower RSFC spatial correlations with 5-HT₆, α4β2, M1, mGluR5, and D₂ receptor density maps versus schizophrenia, and Hamilton Depression scores negatively correlated with bilateral dorsal caudate volume only in the schizophrenia group.

Study limitations

Small sample sizes (especially late-life schizophrenia, n=21) limit statistical power and generalizability. Cross-sectional design prevents causal inference. Neurotransmitter spatial correlations rely on atlas-derived density maps rather than direct in vivo receptor imaging.

Clinical implications

When differentiating bvFTD from late-life schizophrenia, striatal structural and functional MRI patterns—particularly unique intra-striatal connectivity disruptions and receptor-system divergence—may help distinguish the two conditions despite overlapping clinical presentations. Clinicians should consider these neurobiological differences when interpreting neuropsychiatric symptoms, especially depression, in late-life schizophrenia patients with caudate atrophy.

Caveats

  • Neurotransmitter spatial correlations were derived from atlas-based receptor density maps (JuSpace), not from direct PET or SPECT imaging in these patients — findings should be interpreted as indirect and exploratory.
  • Sample sizes are small, particularly for the late-life schizophrenia group (n=21), which may limit reliability of subgroup analyses.
  • The level of evidence is assigned as 4 (case-control/cross-sectional observational) due to the non-randomized, non-interventional design.
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  • The study design is cross-sectional; causal or longitudinal inferences cannot be drawn.

Related Questions

Explore related topics

How can MRI help differentiate behavioral variant frontotemporal dementia from late-life schizophrenia?What striatal changes are seen in frontotemporal dementia versus schizophrenia on neuroimaging?How do neurotransmitter receptor profiles differ between bvFTD and schizophrenia?

Publication Details

Year
2026
Journal
International Psychogeriatrics
Sample Size
n=113
Source
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