Seed-Based Connectivity Prediction of Initial Outcome of Subthalamic Nuclei Deep Brain Stimulation

Chen, Yingchuan; Zhu, Guanyu; Liu, Defeng; Liu, Yuye; Zhang, Xin; Du, Tingting; Zhang, Jianguo

doi:10.1007/s13311-022-01208-9

Cited by 7 publications

(10 citation statements)

References 39 publications

(50 reference statements)

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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%

“…Aside from patient-specific dMRI, this review highlighted the use of structural normative connectomes in 13 studies. 25 , 29 , 35 , 40 , 41 , 52 , 53 , 56 , 66 , 72 , 75 , 78 , 82 Structural normative connectomes are the aggregation of multiple individual tractograms or whole-brain tractography images. 35 , 56 , 106 , 107 Connectomes were constructed from both healthy samples and ‘disease-matched’ cohorts and were used to enable an analysis of 658 patients (averaging 50.6 patients per study), presented with relation to each study in Table 4 .…”

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

“…Streamline-based intersection is a widespread approach exploreing ‘structural connectivity’ between brain regions. 24 , 29 , 32 , 35 , 39‐41 , 49 , 50 , 52‐56 , 66‐68 , 72 , 76‐78 , 80 , 82 In this review we refer to this approach as ‘outcome connectivity mapping (OCM)’, in which 23 studies were included. 24 , 29 , 32 , 35 , 39‐41 , 49 , 50 , 52‐56 , 66‐68 , 72 , 76‐78 , 80 , 82 Importantly, these studies did not measure overlap, proximity, or connectivity to the neurosurgical target (as outlined as part of the inclusion criteria).…”

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

“… 24 , 29 , 32 , 35 , 39‐41 , 49 , 50 , 52‐56 , 66‐68 , 72 , 76‐78 , 80 , 82 In this review we refer to this approach as ‘outcome connectivity mapping (OCM)’, in which 23 studies were included. 24 , 29 , 32 , 35 , 39‐41 , 49 , 50 , 52‐56 , 66‐68 , 72 , 76‐78 , 80 , 82 Importantly, these studies did not measure overlap, proximity, or connectivity to the neurosurgical target (as outlined as part of the inclusion criteria). One study applied graph theory, using the number of streamlines intersecting each region of interest as the network connectivity measure ( 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%

Section: Reporting Clinical Outcomes From Deep Brain Stimulationmentioning

confidence: 99%

See 3 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

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Individualized Structural Perturbations on Normative Brain Connectome Restrict Deep Brain Stimulation Outcomes in Parkinson's Disease

Wang,

Fu,

Yoo

et al. 2024

Movement Disorders

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BackgroundPatients with Parkinson's disease (PD) respond to deep brain stimulation (DBS) variably. However, how brain substrates restrict DBS outcomes remains unclear.ObjectiveIn this article, we aim to identify prognostic brain signatures for explaining the response variability.MethodsWe retrospectively investigated a cohort of patients with PD (n = 141) between 2017 and 2022, and defined DBS outcomes as the improvement ratio of clinical motor scores. We used a deviation index to quantify individual perturbations on a reference structural covariance network acquired with preoperative T1‐weighted magnetic resonance imaging. The neurobiological perturbations of patients were represented as z scored indices based on the chronological perturbations measured on a group of normal aging adults.ResultsAfter applying stringent statistical tests (z > 2.5) and correcting for false discoveries (P < 0.01), we found that accelerated deviations mainly affected the prefrontal cortex, motor strip, limbic system, and cerebellum in PD. Particularly, a negative network within the accelerated deviations, expressed as “more preoperative deviations, less postoperative improvements,” could predict DBS outcomes (mean absolute error = 0.09, R2 = 0.15). Moreover, a fusion of personal brain predictors and medical responses significantly improved traditional evaluations of DBS outcomes. Notably, the most important brain predictor, a pathway connecting the cognitive unit (prefrontal cortex) and motor control unit (cerebellum and motor strip), partially mediates DBS outcomes with the age at surgery.ConclusionsOur findings suggest that individual structural perturbations on the cognitive motor control circuit are critical for modulating DBS outcomes. Interventions toward the circuit have the potential for additional clinical improvements. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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Clinical and Brain Morphometry Predictors of Deep Brain Stimulation Outcome in Parkinson’s Disease

Koivu,

Sihvonen,

Eerola-Rautio

et al. 2024

Brain Topogr

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Subthalamic deep brain stimulation (STN-DBS) is known to improve motor function in advanced Parkinson’s disease (PD) and to enable a reduction of anti-parkinsonian medication. While the levodopa challenge test and disease duration are considered good predictors of STN-DBS outcome, other clinical and neuroanatomical predictors are less established. This study aimed to evaluate, in addition to clinical predictors, the effect of patients’ individual brain topography on DBS outcome. The medical records of 35 PD patients were used to analyze DBS outcomes measured with the following scales: Part III of the Unified Parkinson’s Disease Rating Scale (UPDRS-III) off medication at baseline, and at 6-months during medication off and stimulation on, use of anti-parkinsonian medication (LED), Abnormal Involuntary Movement Scale (AIMS) and Non-Motor Symptoms Questionnaire (NMS-Quest). Furthermore, preoperative brain MRI images were utilized to analyze the brain morphology in relation to STN-DBS outcome. With STN-DBS, a 44% reduction in the UPDRS-III score and a 43% decrease in the LED were observed (p<0.001). Dyskinesia and non-motor symptoms decreased significantly [median reductions of 78,6% (IQR 45,5%) and 18,4% (IQR 32,2%) respectively, p=0.001 – 0.047]. Along with the levodopa challenge test, patients’ age correlated with the observed DBS outcome measured as UPDRS-III improvement (ρ= -0.466 – -0.521, p<0.005). Patients with greater LED decline had lower grey matter volumes in left superior medial frontal gyrus, in supplementary motor area and cingulum bilaterally. Additionally, patients with greater UPDRS-III score improvement had lower grey matter volume in similar grey matter areas. These findings remained significant when adjusted for sex, age, baseline LED and UPDRS scores respectively and for total intracranial volume (p=0.0041- 0.001). However, only the LED decrease finding remained significant when the analyses were further controlled for stimulation amplitude. It appears that along with the clinical predictors of STN-DBS outcome, individual patient topographic differences may influence DBS outcome. Clinical Trial Registration Number: NCT06095245, registration date October 23, 2023, retrospectively registered

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Seed-Based Connectivity Prediction of Initial Outcome of Subthalamic Nuclei Deep Brain Stimulation

Cited by 7 publications

References 39 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

Individualized Structural Perturbations on Normative Brain Connectome Restrict Deep Brain Stimulation Outcomes in Parkinson's Disease

Clinical and Brain Morphometry Predictors of Deep Brain Stimulation Outcome in Parkinson’s Disease

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