Mapping Motor Pathways in Parkinson’s Disease Patients with Subthalamic Deep Brain Stimulator: A Diffusion MRI Tractography Study

Li, Yan; He, Naying; Zhang, Chencheng; Yu, Lei; Li, Jun; Sun, Bomin; Lai, Yijie; Li, Hongyang; Wang, Chengyan; Haacke, E. Mark; Yan, Fuhua; Li, Dianyou

doi:10.1007/s40120-022-00331-1

Cited by 3 publications

(8 citation statements)

References 51 publications

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“… 23‐26 , 28 , 30 , 32‐39 , 42 , 44‐48 , 50‐59 The Movement Disorder Society-Sponsored Revision of the UPDRS (MDS-UPDRS III) 84 was used in eight studies. 27 , 29 , 31 , 40 , 41 , 43 , 60 , 61 The gait and falls questionnaire (GFQ), freezing of gait questionnaire (FoGQ) and a stepping-in-place task (SIP), were used to assess axial symptoms in patients with Parkinson’s disease. 49 , 57 For generalized, focal, segmental dystonia and X-linked dystonia-Parkinsonism, the Burke–Fahn–Marsden dystonia rating scale (BFMDRS) 85 was administered in eight studies.…”

Section: Resultsmentioning

confidence: 99%

“…dMRI was the most common approach, identified in 37 studies. 23‐25 , 28 , 29 , 32 , 35 , 38‐42 , 47 , 49‐56 , 60 , 66‐69 , 72‐82 dMRI is sensitive to the motion of water diffusion in tissue and can capture diffusion restriction associated with the hydrophobic barriers of myelinated axons ( Fig. 3A ).…”

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

“… 97 , 98 Multi-fibre modelling was combined with probabilistic tractography in 13 studies. 23 , 24 , 38 , 39 , 49 , 50 , 60 , 67 , 69 , 76 , 77 , 79 , 80 Probabilistic tractography quantifies the probability of each voxel being intersected from seed over successive sampling runs. 97 , 105 Areas of uncertainty are reflected by voxels with corresponding low probabilities and thus, reflect confidence bounds around the most probable connections.…”

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

“… 108 A total of three studies quantified the overlap of VTA with specific neural regions or tracts of interest. 23 , 28 , 47 , 51 , 60 , 69 , 73‐75 , 81 A similar method used in 10 studies measured the distance (or proximity) of reconstructed contacts/VTA to specific tracts. 23 , 28 , 47 , 51 , 60 , 69 , 73‐75 , 81 Another method involved assessing quantitative diffusion metrics from tensor-reconstructed tracts, identified in three studies ( Fig.…”

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

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A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders

Andrews

Keller

Osman-Farah

et al. 2023

Brain Communications

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Patients with movement disorders treated by deep brain stimulation do not always achieve successful therapeutic alleviation of motor symptoms, even in cases where surgery is without complications. Magnetic resonance imaging (MRI) offers methods to investigate structural brain-related factors that may be predictive for clinical motor outcomes. This review aimed to identify features which have been associated with variability in clinical post-operative motor outcomes in patients with Parkinson’s disease, dystonia, and essential tremor from structural MRI modalities. We performed a literature search for articles published between January 01, 2000, and April 01, 2022, and identified 5197 articles. Following screening through our inclusion criteria, we identified 60 total studies (39 = Parkinson’s disease, 11 = dystonia syndromes and 10 = essential tremor). The review captured a range of structural MRI methods and analysis techniques used to identify factors related to clinical post-operative motor outcomes from deep brain stimulation. Morphometric markers, including volume and cortical thickness were commonly identified in studies focused on patients with Parkinson’s disease and dystonia syndromes. Reduced metrics in basal ganglia, sensorimotor and frontal regions showed frequent associations with reduced motor outcomes. Increased structural connectivity to subcortical nuclei, sensorimotor and frontal regions were also associated with greater motor outcomes. In patients with tremor, increased structural connectivity to the cerebellum and cortical motor regions showed high prevalence across studies for greater clinical motor outcomes. In addition, we highlight conceptual issues for studies assessing clinical response with structural MRI and discuss future approaches towards optimising individualised therapeutic benefits. Although quantitative MRI markers are in their infancy for clinical purposes in movement disorder treatments, structural features obtained from MRI offer powerful potential to identify candidates who are more likely to benefit from deep brain stimulation and provide insight into the complexity of disorder pathophysiology.

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Section: Resultsmentioning

confidence: 99%

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

See 2 more Smart Citations

A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders

Andrews

Keller

Osman-Farah

et al. 2023

Brain Communications

View full text Add to dashboard Cite

show abstract

“…More specifically, the precision of an electrode position with respect to its desired target is a known predictor for long-term tremor treatment outcomes 5 . Moreover, recent research suggests that electrode placement may disrupt important neural pathways 6 . Therefore, improving the guidance of DBS electrode leads during the procedure is highly desirable.…”

Section: Introductionmentioning

confidence: 99%

Comparison of neural activation models to analyze the impact of brain deformations on neural pathways during DBS procedures

Pereira

Luo

Miga

2023

Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling

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Brain deformations associated with burr hole and dura opening during deep brain stimulation (DBS) surgeries can significantly affect electrodes' placement, directly impacting optimal treatment response. Enhanced interpretation of clinical outcomes and, in addition, study the effects of shifting electrode leads on neural pathways can be accomplished by coupling patient-specific finite element biomechanical/bioelectric tissue and conventional neurophysiological models. A dataset of six patients who had undergone intraoperative magnetic resonance (iMR)-guided DBS procedure is considered in this study. To realistically predict soft tissue deformation during DBS surgery, biomechanical models were constructed based on patient-specific imaging data and driven with iMR data. In addition, bioelectric finite element models for both undeformed (no shift) and deformed states were used to estimate the effect of electric fields using two conventional neuromodulation prediction approaches. In the first approach, successful neuron pathway recruitment was established using a neurophysiological simulation estimating the likelihood that a given field would influence action potential dynamics. In the second approach, recruitment was based on the direct use of an electric-field norm threshold to establish an activation volume. Results showed about 49% difference in recruited neuronal pathways when comparing neurophysiological models and electric-field norm threshold neural activation model.

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Diffusion Magnetic Resonance Imaging (MRI)-Biomarkers for Diagnosis of Parkinson’s Disease

Cruz,

Nie,

Ramírez

2023

Parkinson’s Disease - Animal Models, Current Therapies and Clinical Trials

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Parkinson’s disease (PD) is a degenerative neurological disorder, the origin of which remains unclear. The efficacy of treatments is limited due to the small number of remaining neurons. Diffusion magnetic resonance imaging (MRI) has revolutionized clinical neuroimaging. This noninvasive and quantitative method gathers in vivo microstructural information to characterize pathological processes that modify nervous tissue integrity. The changes in signal intensity result from the motion of the water molecules; they can be quantified by diffusivity measures. Diffusion MRI has revealed “biomarkers” in several brain regions that could be useful for PD diagnosis. These regions include the olfactory tracts, putamen, white matter, superior cerebellar peduncles, middle cerebellar peduncle, pons, cerebellum, and substantia nigra. There are encouraging preliminary data that differentiate PD from atypical parkinsonian diseases based on these microstructural changes.

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Mapping Motor Pathways in Parkinson’s Disease Patients with Subthalamic Deep Brain Stimulator: A Diffusion MRI Tractography Study

Abstract: Introduction: This study assessed the safety of postoperative diffusion tensor imaging (DTI) with on-state deep brain stimulation (DBS) and the feasibility of reconstruction of the white

Cited by 3 publications

References 51 publications

A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders

A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders

Comparison of neural activation models to analyze the impact of brain deformations on neural pathways during DBS procedures

Diffusion Magnetic Resonance Imaging (MRI)-Biomarkers for Diagnosis of Parkinson’s Disease

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