Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal...

Area of Science:

• Neuroimaging
• Neurology
• Dementia Research

Background:

• Behavioural variant frontotemporal dementia (bvFTD) is a neurodegenerative disorder.
• Understanding the structural brain changes in bvFTD is crucial for diagnosis and treatment.

Purpose of the Study:

• To investigate changes in thalamic morphology, white matter tracts, and cortical thickness in bvFTD using multimodal neuroimaging.
• To identify imaging features that can discriminate between bvFTD patients and healthy controls.
• To explore associations between imaging metrics and dementia severity.

Main Methods:

• Structural and diffusion MRI scans were acquired from 23 bvFTD patients and 24 controls.
• Multi-block partial least squares (PLS) discriminatory analyses were employed using thalamic volume, white matter diffusion metrics, and cortical thickness.
• Clinical and behavioral severity were assessed using standardized scales.

Main Results:

• Bilateral anterior-dorsal thalamic atrophy, reduced thalamic projection diffusivity, and frontotemporal cortical thinning were key predictors of bvFTD.
• The classification model achieved 96% sensitivity and 68% specificity (p=0.012).
• Imaging findings correlated with dementia severity, showing extensive thalamo-cortical white matter changes.

Conclusions:

• Multimodal neuroimaging effectively identifies structural network dysfunction in sporadic bvFTD.
• The study demonstrates combined involvement of anterior cortical regions, thalamo-cortical pathways, and anterior thalamus in bvFTD.