Radiomics-Informed Modeling for Transcranial Ultrasound Stimulation: Age Matters

Lu, Hanna

doi:10.3389/fnins.2022.935283

Cited by 2 publications

(2 citation statements)

References 37 publications

(39 reference statements)

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“…Especially pre‐treatment thicker cortex could predict a higher probability of clinical remission; and increased cortical folding could predict a higher cognitive enhancement after active rTMS treatment. While previous imaging studies already reported the predictive values of whole‐brain MRI measures (Schwarz, 2021 ), the treatment target‐specific radiomic features are more likely involved in the complex interface between the cortex and the stimulation‐induced electric fields (Aberra et al, 2020 ; Lu, 2022 ), which is valuable to in‐depth investigate in future studies.…”

Section: Discussionmentioning

confidence: 99%

“…While previous imaging studies already reported the predictive values of whole-brain MRI measures (Schwarz, 2021), the treatment target-specific radiomic features are more likely involved in the complex interface between the cortex and the stimulation-induced electric fields (Aberra et al, 2020;Lu, 2022), which is valuable to indepth investigate in future studies.…”

Section: Discussionmentioning

confidence: 99%

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Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial

Chan

et al. 2022

Human Brain Mapping

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Image-guided repetitive transcranial magnetic stimulation (rTMS) has shown clinical effectiveness in senior adults with co-occurring depression and cognitive impairment, yet the imaging markers for predicting the treatment response are less investigated. In this clinical trial, we examined the efficacy and sustainability of 10 Hz rTMS for the treatment of depression and cognitive impairment in major neurocognitive disorder (NCD) patients and tested the predictive values of imaging-informed radiomic features in response to rTMS treatment. Fifty-five major NCD patients with depression were randomly assigned to receive a 3-week rTMS treatment of either active 10 Hz rTMS (n = 27) or sham rTMS (n = 28). Left dorsolateral prefrontal cortex (DLPFC) was the predefined treatment target. Based on individual structural magnetic resonance imaging scans, surface-based analysis was conducted to quantitatively measure the baseline radiomic features of left DLPFC. Severity of depression, global cognition and the serum brain-derived neurotrophic factor (BDNF) level were evaluated at baseline, 3-, 6-and 12-week follow-ups. Logistic regression analysis revealed that advanced age, higher baseline cognition and randomized group were associated with the remission of depression. Increased cortical thickness and gyrification in left DLPFC were the significant predictors of clinical remission and cognitive enhancement. A 3-week course of 10 Hz rTMS is an effective adjuvant treatment for rapid ameliorating depressive symptoms and enhancing cognitive function. Pre-treatment radiomic features of the stimulation target can predict the response to rTMS treatment in major NCD. Cortical thickness and folding of treatment target may serve as

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial

Chan

et al. 2022

Human Brain Mapping

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Pinpointing the precise stimulation targets for brain rehabilitation in early-stage Parkinson’s disease

Zhang

et al. 2023

BMC Neurosci

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Background Transcranial magnetic stimulation (TMS) is increasingly used as a promising non-pharmacological treatment for Parkinson’s disease (PD). Scalp-to-cortex distance (SCD), as a key technical parameter of TMS, plays a critical role in determining the locations of treatment targets and corresponding dosage. Due to the discrepancies in TMS protocols, the optimal targets and head models have yet to be established in PD patients. Objective To investigate the SCDs of the most popular used targets in left dorsolateral prefrontal cortex (DLPFC) and quantify its impact on the TMS-induced electric fields (E-fields) in early-stage PD patients. Methods Structural magnetic resonance imaging scans from PD patients (n = 47) and normal controls (n = 36) were drawn from the NEUROCON and Tao Wu datasets. SCD of left DLPFC was measured by Euclidean Distance in TMS Navigation system. The intensity and focality of SCD-dependent E-fields were examined and quantified using Finite Element Method. Results Early-stage PD patients showed an increased SCDs, higher variances in the SCDs and SCD-dependent E-fields across the seven targets of left DLPFC than normal controls. The stimulation targets located on gyral crown had more focal and homogeneous E-fields. The SCD of left DLPFC had a better performance in differentiating early-stage PD patients than global cognition and other brain measures. Conclusion SCD and SCD-dependent E-fields could determine the optimal TMS treatment targets and may also be used as a novel marker to differentiate early-stage PD patients. Our findings have important implications for developing optimal TMS protocols and personalized dosimetry in real-world clinical practice.

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Radiomics-Informed Modeling for Transcranial Ultrasound Stimulation: Age Matters

Cited by 2 publications

References 37 publications

Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial

Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial

Pinpointing the precise stimulation targets for brain rehabilitation in early-stage Parkinson’s disease

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