Diffusion tractography predicts Deep Brain Stimulation evoked potential amplitude and delay.
Abe, S.; Vidmark, J. S. L.; Hernandez-Martin, E.; Kasiri, M.; Soroushmojdehi, R.; Seyyed Mousavi, S. A.; Sanger, T. D.
Show abstract
ObjectiveThis study investigated the relationship between DBS evoked potentials (EPs) and diffusion tensor imaging (DTI) in a group of patients with dystonia who underwent DBS treatment. EPs and DTI are both useful methods for studying neural connectivity in the brain but measure different aspects of brain function. EPs provide information on electrical connectivity, while DTI provides information on anatomical pathways connecting regions. MethodsThis study focused on the pallidum and motor thalamus nuclei, which are common targets for DBS in dystonia. Prior to DBS implantation, DTI images were acquired for each patient, and were processed to obtain DTI coefficients such as length (L), volume (V), and fractional anisotropy (FA) of the fiber tracts. The relationship between the fiber tracts and electrophysiology was examined using a generalized linear model (GLM). ResultsWe showed that the amplitude of EPs correlated with FA and tract volume, while delay correlated with tract length. These findings suggest that DBS signals travel across tracts to affect both local and distant brain regions, and the magnitude of the effect of DBS is determined by the integrity of the white matter tract, while DBS signal delay is affected by the tract length. Our results further suggest that the magnitude and delay of the spread of the DBS signal may be predicted by the DTI connectivity. This provides strong supporting evidence for other studies that have assumed, but have been unable to test, such a relationship. ConclusionOverall, this study suggests that the electrical effects of DBS can be at least partially predicted by noninvasive DTI imaging in patients with dystonia. By combining EPs with DTI, we could investigate the propagation of stimulation pulses through brain regions. While this relationship has been previously hypothesized by the neuroscience community, this is the first study in humans to demonstrate this relationship between DBS EPs and DTI, thereby advancing the field of human brain mapping and enhancing the precision of neurosurgical targeting.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Approximating Signal Sources in Stereo-EEG Single Pulse Electrical Stimulation using Re-referencing and Spectral Analysis 95%
- Controlling pallidal oscillations in real-time in Parkinson's disease using evoked interference deep brain stimulation (eiDBS): proof of concept in the human 95%
- Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback 94%
Similar papers in this journal
- Endogenous signals during active movement predict deep brain stimulation evoked potential pathways: Results of a transfer function analysis 96%
- Decoding Neural Activity in Sulcal and White Matter Areas of the Brain to Accurately Predict Individual Finger Movement and Tactile Stimuli of the Human Hand 95%
- High Gamma and Beta Temporal Interference Stimulation in the Human Motor Cortex Improves Motor Functions 94%
Similar papers in this journal
- Selecting the most effective DBS contact in essential tremor patients based on individual tractography 96%
- Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia 94%
- Electrocorticography during deep brain stimulation surgery for movement disorders: Single-center experience 94%
Similar papers in this journal
- Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets 96%
- A retrospective evaluation of automated optimization of deep brain stimulation parameters 95%
- TAP: Targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation 94%
Similar papers in this journal
- Linking Profiles of Pathway Activation with Clinical Motor Improvements – a Retrospective Computational Study 96%
- Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation 92%
- The Role of the Temporal Pole in Temporal Lobe Epilepsy: A Diffusion Kurtosis Imaging Study 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.