4 January 2023 Decoding the radiomic features of dorsolateral prefrontal cortex in individuals with accelerated cortical changes: implications for personalized transcranial magnetic stimulation
Hanna Lu, Jing Li, Sandra Sau Man Chan, Winny Wing Yin Yue, Chiu Wa Lam
Author Affiliations +
Abstract

Purpose

Image-guided transcranial magnetic stimulation (TMS) is an emerging research field in neuroscience and rehabilitation medicine. Cortical morphometry, as a radiomic phenotype of aging, plays a vital role in developing personalized TMS model, yet few studies are afoot to examine the aging effects on region-specific morphometry and use it in the estimation of TMS-induced electric fields. Our study was aimed to investigate the radiomic features of bilateral dorsolateral prefrontal cortex (DLPFC) and quantify the TMS-induced electric fields during aging.

Approach

Baseline, 1-year and 3-year structural magnetic resonance imaging (MRI) scans from normal aging (NA) adults (n = 32) and mild cognitive impairment (MCI) converters (n = 22) were drawn from the Open Access Series of Imaging Studies. The quantitative measures of radiomics included cortical thickness, folding, and scalp-to-cortex distance. Realistic head models were developed to simulate the impacts of radiomic features on TMS-induced E-fields using the finite-element method.

Results

A pronounced aging-related decrease was found in the gyrification of left DLPFC in MCI converters (t = 2.21, p = 0.035), which could predict the decline of global cognition at 3-year follow up. Along with the decreased gyrification in left DLPFC, the magnitude of TMS-induced E-fields was rapidly decreased in MCI converters (t = 2.56, p = 0.018).

Conclusions

MRI-informed radiomic features of the treatment targets have significant effects on the intensity and distribution of the stimulation-induced electric fields in prodromal dementia patients. Our findings highlight the importance of region-specific radiomics when conducting the transcranial brain stimulation in individuals with accelerated cortical changes, such as Alzheimer’s disease.

© 2023 Society of Photo-Optical Instrumentation Engineers (SPIE)
Hanna Lu, Jing Li, Sandra Sau Man Chan, Winny Wing Yin Yue, and Chiu Wa Lam "Decoding the radiomic features of dorsolateral prefrontal cortex in individuals with accelerated cortical changes: implications for personalized transcranial magnetic stimulation," Journal of Medical Imaging 10(1), 015001 (4 January 2023). https://doi.org/10.1117/1.JMI.10.1.015001
Received: 9 June 2022; Accepted: 20 December 2022; Published: 4 January 2023
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KEYWORDS
Radiomics

Single crystal X-ray diffraction

Brain

Magnetic resonance imaging

Prefrontal cortex

Head

Cognitive modeling

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