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Bayman E, Chee K, Mendlen M, Denman DJ, Tien RN, Ojemann S, Kramer DR, Thompson JA. Subthalamic nucleus synchronization between beta band local field potential and single-unit activity in Parkinson's disease. Physiol Rep 2024; 12:e16001. [PMID: 38697943 PMCID: PMC11065686 DOI: 10.14814/phy2.16001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/24/2023] [Accepted: 03/26/2024] [Indexed: 05/05/2024] Open
Abstract
Local field potential (LFP) oscillations in the beta band (13-30 Hz) in the subthalamic nucleus (STN) of Parkinson's disease patients have been implicated in disease severity and treatment response. The relationship between single-neuron activity in the STN and regional beta power changes remains unclear. We used spike-triggered average (STA) to assess beta synchronization in STN. Beta power and STA magnitude at the beta frequency range were compared in three conditions: STN versus other subcortical structures, dorsal versus ventral STN, and high versus low beta power STN recordings. Magnitude of STA-LFP was greater within the STN compared to extra-STN structures along the trajectory path, despite no difference in percentage of the total power. Within the STN, there was a higher percent beta power in dorsal compared to ventral STN but no difference in STA-LFP magnitude. Further refining the comparison to high versus low beta peak power recordings inside the STN to evaluate if single-unit activity synchronized more strongly with beta band activity in areas of high beta power resulted in a significantly higher STA magnitude for areas of high beta power. Overall, these results suggest that STN single units strongly synchronize to beta activity, particularly units in areas of high beta power.
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Affiliation(s)
- Eric Bayman
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Keanu Chee
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Madelyn Mendlen
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Daniel J. Denman
- Department of Neurophysiology and BiophysicsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Rex N. Tien
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Steven Ojemann
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Daniel R. Kramer
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - John A. Thompson
- Department of NeurosurgeryUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of NeurologyUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
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2
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Merrick CM, Doyle ON, Gallegos NE, Irwin ZT, Olson JW, Gonzalez CL, Knight RT, Ivry RB, Walker HC. Differential contribution of sensorimotor cortex and subthalamic nucleus to unimanual and bimanual hand movements. Cereb Cortex 2024; 34:bhad492. [PMID: 38124548 PMCID: PMC10793582 DOI: 10.1093/cercor/bhad492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/18/2023] [Accepted: 11/19/2023] [Indexed: 12/23/2023] Open
Abstract
Why does unilateral deep brain stimulation improve motor function bilaterally? To address this clinical observation, we collected parallel neural recordings from sensorimotor cortex (SMC) and the subthalamic nucleus (STN) during repetitive ipsilateral, contralateral, and bilateral hand movements in patients with Parkinson's disease. We used a cross-validated electrode-wise encoding model to map electromyography data to the neural signals. Electrodes in the STN encoded movement at a comparable level for both hands, whereas SMC electrodes displayed a strong contralateral bias. To examine representational overlap across the two hands, we trained the model with data from one condition (contralateral hand) and used the trained weights to predict neural activity for movements produced with the other hand (ipsilateral hand). Overall, between-hand generalization was poor, and this limitation was evident in both regions. A similar method was used to probe representational overlap across different task contexts (unimanual vs. bimanual). Task context was more important for the STN compared to the SMC indicating that neural activity in the STN showed greater divergence between the unimanual and bimanual conditions. These results indicate that SMC activity is strongly lateralized and relatively context-free, whereas the STN integrates contextual information with the ongoing behavior.
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Affiliation(s)
- Christina M Merrick
- Department of Psychology, University of California Berkeley, Berkeley, CA 94720, United States
| | - Owen N Doyle
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | - Natali E Gallegos
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, United States
| | - Zachary T Irwin
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL 35294, United States
| | - Joseph W Olson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294, United States
| | - Christopher L Gonzalez
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294, United States
| | - Robert T Knight
- Department of Psychology, University of California Berkeley, Berkeley, CA 94720, United States
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, United States
| | - Richard B Ivry
- Department of Psychology, University of California Berkeley, Berkeley, CA 94720, United States
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, United States
| | - Harrison C Walker
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL 35294, United States
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294, United States
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, United States
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3
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Permezel F, Alty J, Harding IH, Thyagarajan D. Brain Networks Involved in Sensory Perception in Parkinson's Disease: A Scoping Review. Brain Sci 2023; 13:1552. [PMID: 38002513 PMCID: PMC10669548 DOI: 10.3390/brainsci13111552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 10/26/2023] [Accepted: 10/31/2023] [Indexed: 11/26/2023] Open
Abstract
Parkinson's Disease (PD) has historically been considered a disorder of motor dysfunction. However, a growing number of studies have demonstrated sensory abnormalities in PD across the modalities of proprioceptive, tactile, visual, auditory and temporal perception. A better understanding of these may inform future drug and neuromodulation therapy. We analysed these studies using a scoping review. In total, 101 studies comprising 2853 human participants (88 studies) and 125 animals (13 studies), published between 1982 and 2022, were included. These highlighted the importance of the basal ganglia in sensory perception across all modalities, with an additional role for the integration of multiple simultaneous sensation types. Numerous studies concluded that sensory abnormalities in PD result from increased noise in the basal ganglia and increased neuronal receptive field size. There is evidence that sensory changes in PD and impaired sensorimotor integration may contribute to motor abnormalities.
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Affiliation(s)
- Fiona Permezel
- Department of Neuroscience, Monash University, Melbourne 3004, Australia; (F.P.); (I.H.H.)
- Department of Neurology, Mayo Clinic, Rochester, MN 55901, USA
| | - Jane Alty
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart 7001, Australia;
| | - Ian H. Harding
- Department of Neuroscience, Monash University, Melbourne 3004, Australia; (F.P.); (I.H.H.)
| | - Dominic Thyagarajan
- Department of Neuroscience, Monash University, Melbourne 3004, Australia; (F.P.); (I.H.H.)
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4
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Fan H, Guo Z, Jiang Y, Xue T, Yin Z, Xie H, Diao Y, Hu T, Zhao B, Wu D, An Q, Xu Y, Gao Y, Bai Y, Zhang J. Optimal subthalamic stimulation sites and related networks for freezing of gait in Parkinson's disease. Brain Commun 2023; 5:fcad238. [PMID: 37701817 PMCID: PMC10493641 DOI: 10.1093/braincomms/fcad238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/10/2023] [Accepted: 09/02/2023] [Indexed: 09/14/2023] Open
Abstract
Freezing of gait is a common and debilitating symptom in Parkinson's disease. Although high-frequency subthalamic deep brain stimulation is an effective treatment for Parkinson's disease, post-operative freezing of gait severity has been reported to alleviate, deteriorate or remain constant. We conducted this study to explore the optimal stimulation sites and related connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait in Parkinson's disease. A total of 76 Parkinson's disease patients with freezing of gait who underwent bilateral high-frequency subthalamic stimulation were retrospectively included. The volumes of tissue activated were estimated based on individual electrode reconstruction. The optimal and sour stimulation sites were calculated at coordinate/voxel/mapping level and mapped to anatomical space based on patient-specific images and stimulation settings. The structural and functional predictive connectivity networks for the change of the post-operative Freezing of Gait-Questionnaire were also identified based on normative connectomes derived from the Parkinson's Progression Marker Initiative database. Leave-one-out cross-validation model validated the above results, and the model remained significant after including covariates. The dorsolateral two-thirds of the subthalamic nucleus was identified as the optimal stimulation site, while the ventrocentral portion of the right subthalamic nucleus and internal capsule surrounding the left central subthalamic nucleus were considered as the sour stimulation sites. Modulation of the fibre tracts connecting to the supplementary motor area, pre-supplementary motor area and pedunculopontine nucleus accounted for the alleviation of freezing of gait, whereas tracts connecting to medial and ventrolateral prefrontal cortices contributed to the deterioration of freezing of gait. The optimal/sour stimulation sites and structural/functional predictive connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait are identified and validated through sizable Parkinson's disease patients in this study. With the growing understanding of stimulation sites and related networks, individualized deep brain stimulation treatment with directional leads will become an optimal choice for Parkinson's disease patients with freezing of gait in the future.
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Affiliation(s)
- Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zijian Guo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- School of Biomedical Engineering, Capital Medical University, 100069 Beijing, China
| | - Yin Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Tao Xue
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yu Diao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yichen Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yuan Gao
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
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Fan JP, Zhang X, Han Y, Ji Y, Gu WX, Wu HC, Zhou C, Xiao C. Subthalamic neurons interact with nigral dopaminergic neurons to regulate movement in mice. Acta Physiol (Oxf) 2023; 237:e13917. [PMID: 36598331 DOI: 10.1111/apha.13917] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/05/2022] [Accepted: 01/02/2023] [Indexed: 01/05/2023]
Abstract
AIM This study aims to address the role of the interaction between subthalamic (STN) neurons and substantia nigra pars compacta (SNc) dopaminergic (DA) neurons in movement control. METHODS Fiber photometry and optogenetic/chemogenetic techniques were utilized to monitor and manipulate neuronal activity, respectively. Locomotion in mice was recorded in an open field arena and on a head-fixed apparatus. A hemiparkinsonian mouse model was established by unilateral injection of 6-OHDA in the medial forebrain bundle. Whole-cell patch-clamp techniques were applied to record electrophysiological signals in STN neurons and SNc DA neurons. c-Fos-immunostaining was used to label activated neurons. A rabies virus-based retrograde tracing system was used to visualize STN neurons projecting to SNc DA neurons. RESULTS The activity of STN neurons was enhanced upon locomotion in an open field arena and on a head-fixed apparatus, and the enhancement was significantly attenuated in parkinsonian mice. Optogenetic stimulation of STN neurons enhanced locomotion, increased activity of SNc DA neurons, meanwhile, reduced latency to movement initiation. Combining optogenetics with patch-clamp recordings, we confirmed that STN neurons innervated SNc DA neurons through glutamatergic monosynaptic connections. Moreover, STN neurons projecting to SNc DA neurons were evenly distributed in the STN. Either 6-OHDA-lesion or chemogenetic inhibition of SNc DA neurons attenuated the enhancement of locomotion by STN stimulation. CONCLUSION SNc DA neurons not only affect the response of STN neurons to movement, but also contribute to the enhancement of movement by STN stimulation. This study demonstrates the role of STN-SNc interaction in movement control.
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Affiliation(s)
- Jiang-Peng Fan
- School of basic medical sciences, Xuzhou Medical University, Xuzhou, China.,Institute of Nervous System Diseases, Xuzhou Medical University, Xuzhou, China
| | - Xue Zhang
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Yu Han
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Ying Ji
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Wei-Xin Gu
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China.,Department of Anesthesiology, Drum Tower Hospital, affiliated to Nanjing University, Nanjing, China
| | - Hai-Chuan Wu
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China.,Department of Anesthesiology, Drum Tower Hospital, affiliated to Nanjing University, Nanjing, China
| | - Chunyi Zhou
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China.,Jiangsu Province Key Laboratory in Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Cheng Xiao
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China.,Jiangsu Province Key Laboratory in Anesthesiology, Xuzhou Medical University, Xuzhou, China
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Johari K, Kelley RM, Tjaden K, Patterson CG, Rohl AH, Berger JI, Corcos DM, Greenlee JDW. Human subthalamic nucleus neurons differentially encode speech and limb movement. Front Hum Neurosci 2023; 17:962909. [PMID: 36875233 PMCID: PMC9983637 DOI: 10.3389/fnhum.2023.962909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 01/25/2023] [Indexed: 02/19/2023] Open
Abstract
Deep brain stimulation (DBS) of the subthalamic nucleus (STN), which consistently improves limb motor functions, shows mixed effects on speech functions in Parkinson's disease (PD). One possible explanation for this discrepancy is that STN neurons may differentially encode speech and limb movement. However, this hypothesis has not yet been tested. We examined how STN is modulated by limb movement and speech by recording 69 single- and multi-unit neuronal clusters in 12 intraoperative PD patients. Our findings indicated: (1) diverse patterns of modulation in neuronal firing rates in STN for speech and limb movement; (2) a higher number of STN neurons were modulated by speech vs. limb movement; (3) an overall increase in neuronal firing rates for speech vs. limb movement; and (4) participants with longer disease duration had higher firing rates. These data provide new insights into the role of STN neurons in speech and limb movement.
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Affiliation(s)
- Karim Johari
- Human Neurophysiology and Neuromodulation Lab, Department of Communication Science and Disorders, Louisiana State University, Baton Rouge, LA, United States.,Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States
| | - Ryan M Kelley
- Medical Scientist Training Program, The University of Iowa, Iowa City, IA, United States.,Program in Neuroscience, The University of Iowa, Iowa City, IA, United States
| | - Kris Tjaden
- Department of Communicative Disorders and Sciences, University at Buffalo, Buffalo, NY, United States
| | - Charity G Patterson
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, United States
| | - Andrea H Rohl
- Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States
| | - Joel I Berger
- Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States
| | - Daniel M Corcos
- Department of Physical Therapy & Human Movement Sciences, Northwestern University, Chicago, IL, United States
| | - Jeremy D W Greenlee
- Department of Neurosurgery, The University of Iowa, Iowa City, IA, United States.,Program in Neuroscience, The University of Iowa, Iowa City, IA, United States.,Iowa Neuroscience Institute, Iowa City, IA, United States
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7
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Tekriwal A, Baker S, Christensen E, Petersen-Jones H, Tien RN, Ojemann SG, Kern DS, Kramer DR, Felsen G, Thompson JA. Quantifying neuro-motor correlations during awake deep brain stimulation surgery using markerless tracking. Sci Rep 2022; 12:18120. [PMID: 36302865 PMCID: PMC9613670 DOI: 10.1038/s41598-022-21860-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 10/04/2022] [Indexed: 12/30/2022] Open
Abstract
The expanding application of deep brain stimulation (DBS) therapy both drives and is informed by our growing understanding of disease pathophysiology and innovations in neurosurgical care. Neurophysiological targeting, a mainstay for identifying optimal, motor responsive targets, has remained largely unchanged for decades. Utilizing deep learning-based computer vision and related computational methods, we developed an effective and simple intraoperative approach to objectively correlate neural signals with movements, automating and standardizing the otherwise manual and subjective process of identifying ideal DBS electrode placements. Kinematics are extracted from video recordings of intraoperative motor testing using a trained deep neural network and compared to multi-unit activity recorded from the subthalamic nucleus. Neuro-motor correlations were quantified using dynamic time warping with the strength of a given comparison measured by comparing against a null distribution composed of related neuro-motor correlations. This objective measure was then compared to clinical determinations as recorded in surgical case notes. In seven DBS cases for treatment of Parkinson's disease, 100 distinct motor testing epochs were extracted for which clear clinical determinations were made. Neuro-motor correlations derived by our automated system compared favorably with expert clinical decision making in post-hoc comparisons, although follow-up studies are necessary to determine if improved correlation detection leads to improved outcomes. By improving the classification of neuro-motor relationships, the automated system we have developed will enable clinicians to maximize the therapeutic impact of DBS while also providing avenues for improving continued care of treated patients.
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Affiliation(s)
- Anand Tekriwal
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA.
- Department of Physiology and Biophysics, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA.
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
| | - Sunderland Baker
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
| | - Elijah Christensen
- Department of Physiology and Biophysics, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Humphrey Petersen-Jones
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Rex N Tien
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
| | - Steven G Ojemann
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
| | - Drew S Kern
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Daniel R Kramer
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
| | - Gidon Felsen
- Department of Physiology and Biophysics, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - John A Thompson
- Department of Neurosurgery, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
- Department of Physiology and Biophysics, University of Colorado School of Medicine, 12800 E. 19th Ave., Mail Stop 8307, Aurora, CO, 80045, USA
- Neuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, 80045, USA
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8
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Filyushkina V, Belova E, Usova S, Tomskiy A, Sedov A. Attenuation of neural responses in subthalamic nucleus during internally guided voluntary movements in Parkinson’s disease. Front Hum Neurosci 2022; 16:977784. [PMID: 36277053 PMCID: PMC9585536 DOI: 10.3389/fnhum.2022.977784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
The proposed models of segregated functional loops describe the organization of motor control over externally triggered (ET) and internally guided (IG) movements. The dopamine deficiency in Parkinson’s disease (PD) is considered to cause a disturbance in the functional loop regulating IG movements. At the same time, the neural mechanisms of movement performance and the role of basal ganglia in motor control remain unclear.The aim of this study was to compare neuronal responses in the subthalamic nucleus (STN) during ET and IG movements in PD. We found and analyzed 26 sensitive neurons in 12 PD patients who underwent surgery for implantation of electrodes for deep brain stimulation. We also analyzed the local field potentials (LFP) of the STN of six patients during the postoperative period. Patients were asked to perform voluntary movements (clenching and unclenching the fist) evoked by verbal command (ET) or self-initiated (IG). We showed heterogeneity of neuronal responses and did not find sensitive neurons associated with only one type of movement. Most cells were characterized by leading responses, indicating that the STN has an important role in movement initiation. At the same time, we found attenuation of motor responses during IG movement vs. stable responses during ET movements. LFP analysis also showed attenuation of beta desynchronization during multiple IG movements.We propose that stable neuronal response to ET movements is associated with the reboot of the motor program for each movement, while attenuation of responses to IG movement is associated with single motor program launching for multiple movements.
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Affiliation(s)
- Veronika Filyushkina
- Laboratory of Human Cell Neurophysiology, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
- *Correspondence: Veronika Filyushkina
| | - Elena Belova
- Laboratory of Human Cell Neurophysiology, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
| | - Svetlana Usova
- Laboratory of Human Cell Neurophysiology, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
| | - Alexey Tomskiy
- Department of Functional Neurosurgery, Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russia
| | - Alexey Sedov
- Laboratory of Human Cell Neurophysiology, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia
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Single-neuron bursts encode pathological oscillations in subcortical nuclei of patients with Parkinson's disease and essential tremor. Proc Natl Acad Sci U S A 2022; 119:e2205881119. [PMID: 36018837 PMCID: PMC9436336 DOI: 10.1073/pnas.2205881119] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Deep brain stimulation procedures offer an invaluable opportunity to study disease through intracranial recordings from awake patients. Here, we address the relationship between single-neuron and aggregate-level (local field potential; LFP) activities in the subthalamic nucleus (STN) and thalamic ventral intermediate nucleus (Vim) of patients with Parkinson's disease (n = 19) and essential tremor (n = 16), respectively. Both disorders have been characterized by pathologically elevated LFP oscillations, as well as an increased tendency for neuronal bursting. Our findings suggest that periodic single-neuron bursts encode both pathophysiological beta (13 to 33 Hz; STN) and tremor (4 to 10 Hz; Vim) LFP oscillations, evidenced by strong time-frequency and phase-coupling relationships between the bursting and LFP signals. Spiking activity occurring outside of bursts had no relationship to the LFP. In STN, bursting activity most commonly preceded the LFP oscillation, suggesting that neuronal bursting generated within STN may give rise to an aggregate-level LFP oscillation. In Vim, LFP oscillations most commonly preceded bursting activity, suggesting that neuronal firing may be entrained by periodic afferent inputs. In both STN and Vim, the phase-coupling relationship between LFP and high-frequency oscillation (HFO) signals closely resembled the relationships between the LFP and single-neuron bursting. This suggests that periodic single-neuron bursting is likely representative of a higher spatial and temporal resolution readout of periodic increases in the amplitude of HFOs, which themselves may be a higher resolution readout of aggregate-level LFP oscillations. Overall, our results may reconcile "rate" and "oscillation" models of Parkinson's disease and shed light on the single-neuron basis and origin of pathophysiological oscillations in movement disorders.
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10
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Al Awadhi A, Tyrand R, Horn A, Kibleur A, Vincentini J, Zacharia A, Burkhard PR, Momjian S, Boëx C. Electrophysiological confrontation of Lead-DBS-based electrode localizations in patients with Parkinson's disease undergoing deep brain stimulation. Neuroimage Clin 2022; 34:102971. [PMID: 35231852 PMCID: PMC8885791 DOI: 10.1016/j.nicl.2022.102971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/06/2022] [Accepted: 02/21/2022] [Indexed: 11/06/2022]
Abstract
Lead-DBS agreed with microelectrode recordings with millimetric precision. Lead-DBS identified misplaced electrodes that microelectrodes could only help suspect. Lead-DBS location of the limbic STN was in agreement with electrophysiological markers. Phase duration and firing rates could help identify dopamine neurons in humans.
Microelectrode recordings (MERs) are often used during deep brain stimulation (DBS) surgeries to confirm the position of electrodes in patients with advanced Parkinson’s disease. The present study focused on 32 patients who had undergone DBS surgery for advanced Parkinson’s disease. The first objective was to confront the anatomical locations of intraoperative individual MERs as determined electrophysiologically with those determined postoperatively by image reconstructions. The second aim was to search for differences in cell characteristics among the three subthalamic nucleus (STN) subdivisions and between the STN and other identified subcortical structures. Using the DISTAL atlas implemented in the Lead-DBS image reconstruction toolbox, each MER location was determined postoperatively and attributed to specific anatomical structures (sensorimotor, associative or limbic STN; substantia nigra [SN], thalamus, nucleus reticularis polaris, zona incerta [ZI]). The STN dorsal borders determined intraoperatively from electrophysiology were then compared with the STN dorsal borders determined by the reconstructed images. Parameters of spike clusters (firing rates, amplitudes – with minimum amplitude of 60 μV -, spike durations, amplitude spectral density of β-oscillations) were compared between structures (ANOVAs on ranks). Two hundred and thirty one MERs were analyzed (144 in 34 STNs, 7 in 4 thalami, 5 in 4 ZIs, 34 in 10 SNs, 41 others). The average difference in depth of the electrophysiological dorsal STN entry in comparison with the STN entry obtained with Lead-DBS was found to be of 0.1 mm (standard deviation: 0.8 mm). All 12 analyzed MERs recorded above the electrophysiologically-determined STN entry were confirmed to be in the thalamus or zona incerta. All MERs electrophysiologically attributed to the SN were confirmed to belong to this nucleus. However, 6/34 MERs that were electrophysiologically attributed to the ventral STN were postoperatively reattributed to the SN. Furthermore, 44 MERs of 3 trajectories, which were intraoperatively attributed to the STN, were postoperatively reattributed to the pallidum or thalamus. MER parameters seemed to differ across the STN, with higher spike amplitudes (H = 10.64, p < 0.01) and less prevalent β-oscillations (H = 9.81, p < 0.01) in the limbic STN than in the sensorimotor and associative subdivisions. Some cells, especially in the SN, showed longer spikes with lower firing rates, in agreement with described characteristics of dopamine cells. However, these probabilistic electrophysiological signatures might become clinically less relevant with the development of image reconstruction tools, which deserve to be applied intraoperatively.
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Affiliation(s)
- Abdullah Al Awadhi
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Rémi Tyrand
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Andreas Horn
- Movement Disorders and Neuromodulation Section, Department of Neurology, Charité University Medicine, Berlin, Germany
| | - Astrid Kibleur
- Department of Neurology, Geneva University Hospitals, Geneva, Switzerland
| | - Julia Vincentini
- École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - André Zacharia
- Department of Neurology, Geneva University Hospitals, Geneva, Switzerland
| | - Pierre R Burkhard
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurology, Geneva University Hospitals, Geneva, Switzerland
| | - Shahan Momjian
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
| | - Colette Boëx
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland.
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11
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Pujol S, Cabeen RP, Yelnik J, François C, Fernandez Vidal S, Karachi C, Bardinet E, Cosgrove GR, Kikinis R. Somatotopic Organization of Hyperdirect Pathway Projections From the Primary Motor Cortex in the Human Brain. Front Neurol 2022; 13:791092. [PMID: 35547388 PMCID: PMC9081715 DOI: 10.3389/fneur.2022.791092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background The subthalamic nucleus (STN) is an effective neurosurgical target to improve motor symptoms in Parkinson's Disease (PD) patients. MR-guided Focused Ultrasound (MRgFUS) subthalamotomy is being explored as a therapeutic alternative to Deep Brain Stimulation (DBS) of the STN. The hyperdirect pathway provides a direct connection between the cortex and the STN and is likely to play a key role in the therapeutic effects of MRgFUS intervention in PD patients. Objective This study aims to investigate the topography and somatotopy of hyperdirect pathway projections from the primary motor cortex (M1). Methods We used advanced multi-fiber tractography and high-resolution diffusion MRI data acquired on five subjects of the Human Connectome Project (HCP) to reconstruct hyperdirect pathway projections from M1. Two neuroanatomy experts reviewed the anatomical accuracy of the tracts. We extracted the fascicles arising from the trunk, arm, hand, face and tongue area from the reconstructed pathways. We assessed the variability among subjects based on the fractional anisotropy (FA) and mean diffusivity (MD) of the fibers. We evaluated the spatial arrangement of the different fascicles using the Dice Similarity Coefficient (DSC) of spatial overlap and the centroids of the bundles. Results We successfully reconstructed hyperdirect pathway projections from M1 in all five subjects. The tracts were in agreement with the expected anatomy. We identified hyperdirect pathway fascicles projecting from the trunk, arm, hand, face and tongue area in all subjects. Tract-derived measurements showed low variability among subjects, and similar distributions of FA and MD values among the fascicles projecting from different M1 areas. We found an anterolateral somatotopic arrangement of the fascicles in the corona radiata, and an average overlap of 0.63 in the internal capsule and 0.65 in the zona incerta. Conclusion Multi-fiber tractography combined with high-resolution diffusion MRI data enables the identification of the somatotopic organization of the hyperdirect pathway. Our preliminary results suggest that the subdivisions of the hyperdirect pathway projecting from the trunk, arm, hand, face, and tongue motor area are intermixed at the level of the zona incerta and posterior limb of the internal capsule, with a predominantly overlapping topographical organization in both regions. Subject-specific knowledge of the hyperdirect pathway somatotopy could help optimize target definition in MRgFUS intervention.
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Affiliation(s)
- Sonia Pujol
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Ryan P Cabeen
- Laboratory of Neuro Imaging, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine of the USC, University of Southern California, Los Angeles, CA, United States
| | - Jérôme Yelnik
- Sorbonne Université, CNRS, INSERM, APHP GH Pitié-Salpêtriére, Paris Brain Institute - Institut du Cerveau (ICM), Paris, France.,CENIR Platform, Institut du Cerveau (ICM), Paris, France
| | - Chantal François
- Sorbonne Université, CNRS, INSERM, APHP GH Pitié-Salpêtriére, Paris Brain Institute - Institut du Cerveau (ICM), Paris, France.,CENIR Platform, Institut du Cerveau (ICM), Paris, France
| | - Sara Fernandez Vidal
- Sorbonne Université, CNRS, INSERM, APHP GH Pitié-Salpêtriére, Paris Brain Institute - Institut du Cerveau (ICM), Paris, France.,CENIR Platform, Institut du Cerveau (ICM), Paris, France
| | - Carine Karachi
- Sorbonne Université, CNRS, INSERM, APHP GH Pitié-Salpêtriére, Paris Brain Institute - Institut du Cerveau (ICM), Paris, France.,CENIR Platform, Institut du Cerveau (ICM), Paris, France.,Department of Neurosurgery, APHP, Hôpitaux Universitaires Pitié-Salpêtriére/Charles Foix, Paris, France
| | - Eric Bardinet
- Sorbonne Université, CNRS, INSERM, APHP GH Pitié-Salpêtriére, Paris Brain Institute - Institut du Cerveau (ICM), Paris, France.,CENIR Platform, Institut du Cerveau (ICM), Paris, France
| | - G Rees Cosgrove
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Ron Kikinis
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
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12
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Bokulić E, Medenica T, Knezović V, Štajduhar A, Almahariq F, Baković M, Judaš M, Sedmak G. The Stereological Analysis and Spatial Distribution of Neurons in the Human Subthalamic Nucleus. Front Neuroanat 2022; 15:749390. [PMID: 34970124 PMCID: PMC8712451 DOI: 10.3389/fnana.2021.749390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/17/2021] [Indexed: 11/13/2022] Open
Abstract
The subthalamic nucleus (STN) is a small, ovoid structure, and an important site of deep brain stimulation (DBS) for the treatment of Parkinson’s disease. Although the STN is a clinically important structure, there are many unresolved issues with regard to it. These issues are especially related to the anatomical subdivision, neuronal phenotype, neuronal composition, and spatial distribution. In this study, we have examined the expression pattern of 8 neuronal markers [nNOS, NeuN, parvalbumin (PV), calbindin (CB), calretinin (CR), FOXP2, NKX2.1, and PAX6] in the adult human STN. All of the examined markers, except CB, were present in the STN. To determine the neuronal density, we have performed stereological analysis on Nissl-stained and immunohistochemical slides of positive markers. The stereology data were also used to develop a three-dimensional map of the spatial distribution of neurons within the STN. The nNOS population exhibited the largest neuronal density. The estimated total number of nNOS STN neurons is 281,308 ± 38,967 (± 13.85%). The STN neuronal subpopulations can be divided into two groups: one with a neuronal density of approximately 3,300 neurons/mm3 and the other with a neuronal density of approximately 2,200 neurons/mm3. The largest density of STN neurons was observed along the ventromedial border of the STN and the density gradually decreased toward the dorsolateral border. In this study, we have demonstrated the presence of 7 neuronal markers in the STN, three of which were not previously described in the human STN. The human STN is a collection of diverse, intermixed neuronal subpopulations, and our data, as far as the cytoarchitectonics is concerned, did not support the tripartite STN subdivision.
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Affiliation(s)
- Ema Bokulić
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Tila Medenica
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Vinka Knezović
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Andrija Štajduhar
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia.,School of Public Health "Andrija Štampar," University of Zagreb School of Medicine, Zagreb, Croatia
| | - Fadi Almahariq
- Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia.,Department of Neurosurgery, Clinical Hospital "Dubrava," Zagreb, Croatia
| | - Marija Baković
- Department of Forensic Medicine, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Miloš Judaš
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
| | - Goran Sedmak
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.,Centre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia
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13
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Rodriguez-Rojas R, Pineda-Pardo JA, Mañez-Miro J, Sanchez-Turel A, Martinez-Fernandez R, Del Alamo M, DeLong M, Obeso JA. Functional Topography of the Human Subthalamic Nucleus: Relevance for Subthalamotomy in Parkinson's Disease. Mov Disord 2021; 37:279-290. [PMID: 34859498 DOI: 10.1002/mds.28862] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/26/2021] [Accepted: 11/03/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The subthalamic nucleus (STN) is considered a key structure in motor, behavioral, and emotional control. Although identification of the functional topography of the STN has therapeutic implications in the treatment of the motor features of Parkinson's disease (PD), the details of its functional and somatotopic organization in humans are not well understood. OBJECTIVE The aim of this study was to characterize the functional organization of the STN and its correlation with the motor outcomes induced by subthalamotomy. METHODS We used diffusion-weighted imaging to assess STN connectivity patterns in 23 healthy control subjects and 86 patients with PD, of whom 39 received unilateral subthalamotomy. Analytical tractography was used to reconstruct structural cortico-subthalamic connectivity. A diffusion-weighted imaging/functional magnetic resonance imaging-driven somatotopic parcellation of the STN was defined to delineate the representation of the upper and lower limb in the STN. RESULTS We confirmed a connectional gradient to sensorimotor, supplementary-motor, associative, and limbic cortical regions, spanning from posterior-dorsal-lateral to anterior-ventral-medial portions of the STN, with intermediate overlapping zones. Functional magnetic resonance imaging-driven parcellation demonstrated dual segregation of motor cortico-subthalamic projections in humans. Moreover, the relationship between lesion topography and functional anatomy of the STN explains specific improvement in bradykinesia, rigidity, and tremor induced by subthalamotomy. CONCLUSIONS Our results support an interplay between segregation and integration of cortico-subthalamic projections, suggesting the coexistence of parallel and convergent information processing. Identifying the functional topography of the STN will facilitate better definition of the optimal location for functional neurosurgical approaches, that is, electrode placement and lesion location, and improve specific cardinal features in PD. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Rafael Rodriguez-Rojas
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad CEU-San Pablo University, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute, Madrid, Spain
| | - Jose A Pineda-Pardo
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad CEU-San Pablo University, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute, Madrid, Spain
| | - Jorge Mañez-Miro
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain
| | - Alicia Sanchez-Turel
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain
| | - Raul Martinez-Fernandez
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad CEU-San Pablo University, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute, Madrid, Spain
| | - Marta Del Alamo
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain
| | - Mahlon DeLong
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jose A Obeso
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad CEU-San Pablo University, Madrid, Spain.,Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute, Madrid, Spain
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14
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London D, Fazl A, Katlowitz K, Soula M, Pourfar MH, Mogilner AY, Kiani R. Distinct population code for movement kinematics and changes of ongoing movements in human subthalamic nucleus. eLife 2021; 10:64893. [PMID: 34519273 PMCID: PMC8500714 DOI: 10.7554/elife.64893] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 09/14/2021] [Indexed: 01/23/2023] Open
Abstract
The subthalamic nucleus (STN) is theorized to globally suppress movement through connections with downstream basal ganglia structures. Current theories are supported by increased STN activity when subjects withhold an uninitiated action plan, but a critical test of these theories requires studying STN responses when an ongoing action is replaced with an alternative. We perform this test in subjects with Parkinson’s disease using an extended reaching task where the movement trajectory changes mid-action. We show that STN activity decreases during action switches, contrary to prevalent theories. Furthermore, beta oscillations in the STN local field potential, which are associated with movement inhibition, do not show increased power or spiking entrainment during switches. We report an inhomogeneous population neural code in STN, with one sub-population encoding movement kinematics and direction and another encoding unexpected action switches. We suggest an elaborate neural code in STN that contributes to planning actions and changing the plans.
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Affiliation(s)
- Dennis London
- Center for Neural Science, New York University, New York, United States.,Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States
| | - Arash Fazl
- Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States
| | - Kalman Katlowitz
- Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States.,Neuroscience Institute, NYU Langone Health, New York, United States
| | - Marisol Soula
- Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States.,Neuroscience Institute, NYU Langone Health, New York, United States
| | - Michael H Pourfar
- Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States
| | - Alon Y Mogilner
- Department of Neurosurgery, Center for Neuromodulation, NYU Langone Health, New York, United States
| | - Roozbeh Kiani
- Center for Neural Science, New York University, New York, United States.,Neuroscience Institute, NYU Langone Health, New York, United States.,Department of Psychology, New York University, New York, United States
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15
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Godinho F, Fim Neto A, Bianqueti BL, de Luccas JB, Varjão E, Terzian Filho PR, Figueiredo EG, Almeida TP, Yoneyama T, Takahata AK, Rocha MS, Soriano DC. Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter. Eur J Neurosci 2021; 53:2804-2818. [PMID: 33393163 DOI: 10.1111/ejn.15103] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 02/07/2023]
Abstract
Parkinson's disease (PD) is clinically heterogeneous across patients and may be classified in three motor phenotypes: tremor dominant (TD), postural instability and gait disorder (PIGD), and undetermined. Despite the significant clinical characterization of motor phenotypes, little is known about how electrophysiological data, particularly subthalamic nucleus local field potentials (STN-LFP), differ between TD and PIGD patients. This is relevant since increased STN-LFP bandpower at α-β range (8-35 Hz) is considered a potential PD biomarker and, therefore, a critical setpoint to drive adaptive deep brain stimulation. Acknowledging STN-LFP differences between phenotypes, mainly in rest and movement states, would better fit DBS to clinical and motor demands. We studied this issue through spectral analyses on 35 STN-LFP in TD and PIGD patients during rest and movement. We demonstrated that higher β2 activity (22-35 Hz) was observed in PIGD only during rest. Additionally, bandpower differences between rest and movement occurred at the α-β range, but with different patterns as per phenotypes: movement-induced desynchronization concerned lower frequencies in TD (10-20 Hz) and higher frequencies in PIGD patients (21-28 Hz). Finally, when supervised learning algorithms were employed aiming to discriminate PD phenotypes based on STN-LFP bandpower features, movement information had improved the classification accuracy, achieving peak performances when TD and PIGD movement-induced desynchronization ranges were considered. These results suggest that STN-LFP β-band encodes phenotype-movement dependent information in PD patients.
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Affiliation(s)
- Fabio Godinho
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Department of Functional Neurosurgery, Santa Marcelina Hospital, São Paulo, Brazil.,Division of Functional Neurosurgery of Institute of Psychiatry, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | - Arnaldo Fim Neto
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil.,Department of Cosmic Rays and Chronology, Institute of Physics, University of Campinas, Campinas, Brazil
| | - Bruno Leonardo Bianqueti
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Julia Baldi de Luccas
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Eduardo Varjão
- Department of Functional Neurosurgery, Santa Marcelina Hospital, São Paulo, Brazil
| | | | | | - Tiago Paggi Almeida
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Division of Electronic Engineering, Technological Institute of Aeronautics, São José dos Campos, Brazil.,Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Takashi Yoneyama
- Division of Electronic Engineering, Technological Institute of Aeronautics, São José dos Campos, Brazil
| | - André Kazuo Takahata
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | | | - Diogo Coutinho Soriano
- Center of Engineering, Modeling and Applied Social Sciences, Federal University of ABC, São Bernardo do Campo, Brazil.,Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
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16
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Bolier E, Bot M, van den Munckhof P, Pal G, Sani S, Verhagen Metman L. The Medial Subthalamic Nucleus Border as a New Anatomical Reference in Stereotactic Neurosurgery for Parkinson's Disease. Stereotact Funct Neurosurg 2020; 99:187-195. [PMID: 33207350 DOI: 10.1159/000510802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/24/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The intersection of Bejjani's line with the well-delineated medial subthalamic nucleus (STN) border on MRI has recently been proposed as an individualized reference in subthalamic deep brain stimulation (DBS) surgery for Parkinson's disease (PD). We, therefore, aimed to investigate the applicability across centers of the medial STN border as a patient-specific reference point in STN DBS for PD and explore anatomical variability between left and right mesencephalic area within patients. Furthermore, we aim to evaluate a recently defined theoretic stimulation "hotspot" in a different center. METHODS Preoperative 3-Tesla T2 and susceptibility-weighted images (SWI) were used to identify the intersection of Bejjani's line with the medial STN border in left and right mesencephalic area. The average stereotactic coordinates of the center of stimulation relative to the medial STN border were compared with the predefined theoretic stimulation "hotspot." RESULTS Fifty-four patients provided 108 stereotactic coordinates of medial STN borders on both sequences. Significant difference in means was found in the Y-(anteroposterior) and Z-(dorsoventral) directions (T2 vs. SWI; p < 0.001). Mean coordinates in the Y-(anteroposterior) direction differed significantly between left and right mesencephalic area (T2: p < 0.001; SWI: p = 0.021). Sixty-six DBS leads were placed in 36 patients that had finished stimulation programming, and the average stereotactic coordinates of the center of stimulation relative to the medial STN border on T2 sequences were 3.1 mm lateral, 0.7 mm anterior, and 1.8 mm superior, in proximity of the predefined theoretic stimulation "hotspot." CONCLUSION The medial STN border is applicable across centers as a reference point for STN DBS surgery for PD and seems suitable in order to account for interindividual and intraindividual anatomical variability if one is aware of the discrepancies between T2-weighted imaging and SWI.
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Affiliation(s)
- Erik Bolier
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA, .,Department of Neurosurgery, Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, The Netherlands,
| | - Maarten Bot
- Department of Neurosurgery, Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, The Netherlands
| | - Pepijn van den Munckhof
- Department of Neurosurgery, Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, The Netherlands
| | - Gian Pal
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Sepehr Sani
- Department of Neurosurgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Leo Verhagen Metman
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
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17
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Mapping of subthalamic nucleus using microelectrode recordings during deep brain stimulation. Sci Rep 2020; 10:19241. [PMID: 33159098 PMCID: PMC7648837 DOI: 10.1038/s41598-020-74196-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 09/23/2020] [Indexed: 11/17/2022] Open
Abstract
Alongside stereotactic magnetic resonance imaging, microelectrode recording (MER) is frequently used during the deep brain stimulation (DBS) surgery for optimal target localization. The aim of this study is to optimize subthalamic nucleus (STN) mapping using MER analytical patterns. 16 patients underwent bilateral STN-DBS. MER was performed simultaneously for 5 microelectrodes in a setting of Ben’s-gun pattern in awake patients. Using spikes and background activity several different parameters and their spectral estimates in various frequency bands including low frequency (2–7 Hz), Alpha (8–12 Hz), Beta (sub-divided as Low_Beta (13–20 Hz) and High_Beta (21–30 Hz)) and Gamma (31 to 49 Hz) were computed. The optimal STN lead placement with the most optimal clinical effect/side-effect ratio accorded to the maximum spike rate in 85% of the implantation. Mean amplitude of background activity in the low beta frequency range was corresponding to right depth in 85% and right location in 94% of the implantation respectively. MER can be used for STN mapping and intraoperative decisions for the implantation of DBS electrode leads with a high accuracy. Spiking and background activity in the beta range are the most promising independent parameters for the delimitation of the proper anatomical site.
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18
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Kern DS, Uy D, Rhoades R, Ojemann S, Abosch A, Thompson JA. Discrete changes in brain volume after deep brain stimulation in patients with Parkinson's disease. J Neurol Neurosurg Psychiatry 2020; 91:928-937. [PMID: 32651244 DOI: 10.1136/jnnp-2019-322688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/06/2020] [Accepted: 06/09/2020] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Deep brain stimulation (DBS), targeting the subthalamic nucleus (STN) and globus pallidus interna, is a surgical therapy with class 1 evidence for Parkinson's disease (PD). Bilateral DBS electrodes may be implanted within a single operation or in separate staged surgeries with an interval of time that varies patient by patient. In this study, we used the variation in the timing of implantation from the first to the second implantation allowing for examination of potential volumetric changes of the basal ganglia in patients with PD who underwent staged STN DBS. METHODS Thirty-two patients with a mean time interval between implantations of 141.8 (±209.1; range: 7-700) days and mean duration of unilateral stimulation of 244.7 (±227.7; range: 20-672) days were included in this study. Using volumetric analysis of whole hemisphere and subcortical structures, we observed whether implantation or stimulation affected structural volume. RESULTS We observed that DBS implantation, but not the duration of stimulation, induced a significant reduction of volume in the caudate, pallidum, putamen and thalamus ipsilateral to the implanted hemisphere. These findings were not dependent on the trajectory of the implanted electrode nor on first surgery pneumocephalus (0.07%: %Δ for intracranial volume between first and second surgery). In addition, unique regional atrophy differences were evident in each of the structures. CONCLUSION Our results demonstrate that DBS implantation surgery may affect hemisphere volume at the level of subcortical structures connected to the surgical target.
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Affiliation(s)
- Drew S Kern
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Daniel Uy
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Modern Human Anatomy Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Remy Rhoades
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Steven Ojemann
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Aviva Abosch
- Department of Neurosurgery, University of Nebraska Medical Center, Omaha, NE, USA
| | - John A Thompson
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA .,Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Modern Human Anatomy Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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19
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Ozturk M, Telkes I, Jimenez-Shahed J, Viswanathan A, Tarakad A, Kumar S, Sheth SA, Ince NF. Randomized, Double-Blind Assessment of LFP Versus SUA Guidance in STN-DBS Lead Implantation: A Pilot Study. Front Neurosci 2020; 14:611. [PMID: 32655356 PMCID: PMC7325925 DOI: 10.3389/fnins.2020.00611] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 05/18/2020] [Indexed: 11/13/2022] Open
Abstract
Background: The efficacy of deep brain stimulation (DBS) therapy in Parkinson's disease (PD) patients is highly dependent on the precise localization of the target structures such as subthalamic nucleus (STN). Most commonly, microelectrode single unit activity (SUA) recordings are performed to refine the target. This process is heavily experience based and can be technically challenging. Local field potentials (LFPs), representing the activity of a population of neurons, can be obtained from the same microelectrodes used for SUA recordings and allow flexible online processing with less computational complexity due to lower sampling rate requirements. Although LFPs have been shown to contain biomarkers capable of predicting patients' symptoms and differentiating various structures, their use in the localization of the STN in the clinical practice is not prevalent. Methods: Here we present, for the first time, a randomized and double-blinded pilot study with intraoperative online LFP processing in which we compare the clinical benefit from SUA- versus LFP-based implantation. Ten PD patients referred for bilateral STN-DBS were randomly implanted using either SUA or LFP guided targeting in each hemisphere. Although both SUA and LFP were recorded for each STN, the electrophysiologist was blinded to one at a time. Three months postoperatively, the patients were evaluated by a neurologist blinded to the intraoperative recordings to assess the performance of each modality. While SUA-based decisions relied on the visual and auditory inspection of the raw traces, LFP-based decisions were given through an online signal processing and machine learning pipeline. Results: We found a dramatic agreement between LFP- and SUA-based localization (16/20 STNs) providing adequate clinical improvement (51.8% decrease in 3-month contralateral motor assessment scores), with LFP-guided implantation resulting in greater average improvement in the discordant cases (74.9%, n = 3 STNs). The selected tracks were characterized by higher activity in beta (11-32 Hz) and high-frequency (200-400 Hz) bands (p < 0.01) of LFPs and stronger non-linear coupling between these bands (p < 0.05). Conclusion: Our pilot study shows equal or better clinical benefit with LFP-based targeting. Given the robustness of the electrode interface and lower computational cost, more centers can utilize LFP as a strategic feedback modality intraoperatively, in conjunction to the SUA-guided targeting.
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Affiliation(s)
- Musa Ozturk
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
| | - Ilknur Telkes
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY, United States
| | - Joohi Jimenez-Shahed
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Arjun Tarakad
- Department of Neurology, Baylor College of Medicine, Houston, TX, United States
| | - Suneel Kumar
- Department of Neurology, Baylor College of Medicine, Houston, TX, United States
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Nuri F. Ince
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
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20
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Milosevic L, Scherer M, Cebi I, Guggenberger R, Machetanz K, Naros G, Weiss D, Gharabaghi A. Online Mapping With the Deep Brain Stimulation Lead: A Novel Targeting Tool in Parkinson's Disease. Mov Disord 2020; 35:1574-1586. [PMID: 32424887 DOI: 10.1002/mds.28093] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/16/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Beta-frequency oscillations (13-30 Hz) are a subthalamic hallmark in patients with Parkinson's disease, and there is increased interest in their utility as an intraoperative marker. OBJECTIVES The objectives of this study were to assess whether beta activity measured directly from macrocontacts of deep brain stimulation leads could be used (a) as an intraoperative electrophysiological approach for guiding lead placements and (b) for physiologically informed stimulation delivery. METHODS Every millimeter along the surgical trajectory, local field-potential data were collected from each macrocontact, and power spectral densities were calculated and visualized (n = 39 patients). This was done for online intraoperative functional mapping and post hoc statistical analyses using 2 methods: generating distributions of spectral activity along surgical trajectories and direct delineation (presence versus lack) of beta peaks. In a subset of patients, this approach was corroborated by microelectrode recordings. Furthermore, the match rate between beta peaks at the final target position and the clinically determined best stimulation site were assessed. RESULTS Subthalamic recording sites were delineated by both methods of reconstructing functional topographies of spectral activity along surgical trajectories at the group level (P < 0.0001). Beta peaks were detected when any portion of the 1.5 mm macrocontact was within the microelectrode-defined subthalamic border. The highest beta peak at the final implantation site corresponded to the site of active stimulation in 73.3% of hemispheres (P < 0.0001). In 93.3% of hemispheres, active stimulation corresponded to the first-highest or second-highest beta peak. CONCLUSIONS Online measures of beta activity with the deep brain stimulation macroelectrode can be used to inform surgical lead placement and contribute to optimization of stimulation programming procedures. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Luka Milosevic
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
| | - Maximilian Scherer
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
| | - Idil Cebi
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany.,Centre for Neurology, Department for Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen, Germany
| | - Robert Guggenberger
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
| | - Kathrin Machetanz
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
| | - Georgios Naros
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
| | - Daniel Weiss
- Centre for Neurology, Department for Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen, Germany
| | - Alireza Gharabaghi
- Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Tübingen NeuroCampus, University of Tübingen, Tübingen, Germany
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21
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Ozturk M, Kaku H, Jimenez-Shahed J, Viswanathan A, Sheth SA, Kumar S, Ince NF. Subthalamic Single Cell and Oscillatory Neural Dynamics of a Dyskinetic Medicated Patient With Parkinson's Disease. Front Neurosci 2020; 14:391. [PMID: 32390796 PMCID: PMC7193777 DOI: 10.3389/fnins.2020.00391] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 03/30/2020] [Indexed: 02/01/2023] Open
Abstract
Single cell neuronal activity (SUA) and local field potentials (LFP) in the subthalamic nucleus (STN) of unmedicated Parkinson's disease (PD) patients undergoing deep brain stimulation (DBS) surgery have been well-characterized during microelectrode recordings (MER). However, there is limited knowledge about the changes in the firing patterns and oscillations above and within the territories of STN after the intake of dopaminergic medication. Here, for the first time, we report the STN single cell and oscillatory neural dynamics in a medicated patient with idiopathic PD using intraoperative MER. We recorded LFP and SUA with microelectrodes at various depths during bilateral STN-DBS electrode implantation. We isolated 26 neurons in total and observed that tonic and irregular firing patterns of individual neurons predominated throughout the territories of STN. While burst-type firings have been well-characterized in the dorsal territories of STN in unmedicated patients, interestingly, this activity was not observed in our medicated subject. LFP recordings lacked the excessive beta (8-30 Hz) activity, characteristic of the unmedicated state and signal energy was mainly dominated by slow oscillations below 8 Hz. We observed sharp gamma oscillations between 70 and 90 Hz within and above the STN. Despite the presence of a broadband high frequency activity in 200-400 Hz range, no cross-frequency interaction in the form of phase-amplitude coupling was noted between low and high frequency oscillations of LFPs. While our results are in agreement with the previously reported LFP recordings from the DBS lead in medicated PD patients, the sharp gamma peak present throughout the depth recordings and the lack of bursting firings after levodopa intake have not been reported before. The lack of bursting in SUA, the lack of excessive beta activity and cross frequency coupling between HFOs and lower rhythms further validate the link between bursting firing regime of neurons and pathological oscillatory neural activity in PD-STN. Overall, these observations not only validate the existing literature on the PD electrophysiology in healthy/medicated animal models but also provide insights regarding the underlying electro-pathophysiology of levodopa-induced dyskinesias in PD patients through demonstration of multiscale relationships between single cell firings and field potentials.
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Affiliation(s)
- Musa Ozturk
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
| | - Heet Kaku
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
| | - Joohi Jimenez-Shahed
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Suneel Kumar
- Department of Neurology, Baylor College of Medicine, Houston, TX, United States
| | - Nuri F. Ince
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
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22
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Nguyen AA, Maia PD, Gao X, Damasceno PF, Raj A. Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning. Brain Sci 2020; 10:E73. [PMID: 32019067 PMCID: PMC7071401 DOI: 10.3390/brainsci10020073] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 01/22/2020] [Accepted: 01/26/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The release of a broad, longitudinal anatomical dataset by the Parkinson's Progression Markers Initiative promoted a surge of machine-learning studies aimed at predicting disease onset and progression. However, the excessive number of features used in these models often conceals their relationship to the Parkinsonian symptomatology. OBJECTIVES The aim of this study is two-fold: (i) to predict future motor and cognitive impairments up to four years from brain features acquired at baseline; and (ii) to interpret the role of pivotal brain regions responsible for different symptoms from a neurological viewpoint. METHODS We test several deep-learning neural network configurations, and report our best results obtained with an autoencoder deep-learning model, run on a 5-fold cross-validation set. Comparison with Existing Methods: Our approach improves upon results from standard regression and others. It also includes neuroimaging biomarkers as features. RESULTS The relative contributions of pivotal brain regions to each impairment change over time, suggesting a dynamical reordering of culprits as the disease progresses. Specifically, the Putamen is initially the most critical region accounting for the overall cognitive state, only being surpassed by the Substantia Nigra in later years. The Pallidum is the first region to influence motor scores, followed by the parahippocampal and ambient gyri, and the anterior orbital gyrus. CONCLUSIONS While the causal link between regional brain atrophy and Parkinson symptomatology is poorly understood, our methods demonstrate that the contributions of pivotal regions to cognitive and motor impairments are more dynamical than generally appreciated.
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Affiliation(s)
- Alex A. Nguyen
- Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA 94107, USA; (A.A.N.); (X.G.); (P.F.D.)
| | - Pedro D. Maia
- Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA 94107, USA; (A.A.N.); (X.G.); (P.F.D.)
| | - Xiao Gao
- Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA 94107, USA; (A.A.N.); (X.G.); (P.F.D.)
| | - Pablo F. Damasceno
- Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA 94107, USA; (A.A.N.); (X.G.); (P.F.D.)
- Bakar Computational Health Sciences Institute, UC San Francisco, San Francisco, CA 94158, USA
- Center for Intelligent Imaging, UC San Francisco, San Francisco, CA 94107, USA
| | - Ashish Raj
- Department of Radiology and Biomedical Imaging, UC San Francisco, San Francisco, CA 94107, USA; (A.A.N.); (X.G.); (P.F.D.)
- Bakar Computational Health Sciences Institute, UC San Francisco, San Francisco, CA 94158, USA
- Center for Intelligent Imaging, UC San Francisco, San Francisco, CA 94107, USA
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23
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Katlowitz K, Ko M, Mogilner AY, Pourfar M. Effect of deep brain simulation on arm, leg, and chin tremor in Parkinson disease. J Neurosurg 2019; 131:1514-1519. [PMID: 30544332 DOI: 10.3171/2018.7.jns18784] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 07/03/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The efficacy of deep brain stimulation (DBS) of the subthalamic nucleus (STN) in the treatment of Parkinson disease (PD)-related tremor has been well established. However, the relative impact on arm, leg, and chin tremor has been less clearly elucidated. The authors evaluated the distribution of tremors in a PD cohort undergoing STN DBS and sought to evaluate the differential impact of DBS as a function of tremor location. METHODS A retrospective study of patients with PD with tremor who underwent DBS surgery between 2012 and 2016 was performed to evaluate the impact of STN stimulation on overall and regional tremor scores. RESULTS Across 66 patients the authors found an average of 78% overall reduction in tremor after 6 months. In this cohort, the authors found that tremor reduction was somewhat better for arm than for leg tremors, especially in instances of higher preoperative tremor (84% vs 71% reduction, respectively, for initial tremor scores ≥ 2). No significant difference in response was found between patients with medication-responsive versus medication-nonresponsive tremors. CONCLUSIONS The authors found that although DBS improved tremor in all regions, the improvement was not uniform between chin, arm, and leg-even within the same patient. The reasons behind these differing responses are speculative but suggest that STN DBS may more reliably reduce arm tremors than leg tremors.
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24
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Sasaki T, Kuwahara K, Kin I, Okazaki M, Sasada S, Shinko A, Kameda M, Yasuhara T, Agari T, Date I. Identification of Somatotopic Organization and Optimal Stimulation Site Within the Subthalamic Nucleus for Parkinson's Disease. Oper Neurosurg (Hagerstown) 2019; 17:239-246. [PMID: 30445556 DOI: 10.1093/ons/opy351] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 10/30/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Details of the somatotopy within the subthalamic nucleus (STN) are still poorly understood; however, the STN is a common target of deep brain stimulation (DBS) for Parkinson disease. OBJECTIVE To examine somatotopic organization within the STN and identify optimal stimulation sites from 77 surgical cases with microelectrode recording. METHODS STN-DBS was performed for 77 patients with Parkinson disease between 2010 and 2014. We performed passive movements of each joint and captured single neuronal activities to identify movement-related cells (MRCs). The sites of MRCs and active contacts were determined by measuring their distances from the first contact of DBS electrode. Their positional correlations were directly and indirectly analyzed. RESULTS The number of obtained MRCs was 264, of which 151 responded to multiple joints. The average x-, y-, and z-coordinates of the cells of the upper and lower limbs from the midcommisural point were 13.1 ± 1.1 and 12.7 ± 1.2, 0.22 ± 1.3 and -0.45 ± 1.5, and -2.5 ± 1.1 and -3.0 ± 1.4 mm, respectively. Most MRCs were distributed in the upper third of the STN, in its superior, lateral, and posterior regions, along the DBS electrode routes. Active contacts were observed to lie slightly inferior, medial, and posterior to the average MRC position. CONCLUSION Somatotopic organization of the STN was easier to observe in the present study than in previous studies. Optimal stimulation sites were located inferior, medial, and posterior to the average MRC location. The sites may correspond to associative or motor parts through which fibers from the supplementary motor area pass.
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Affiliation(s)
- Tatsuya Sasaki
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Ken Kuwahara
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Ittetsu Kin
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Mihoko Okazaki
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Susumu Sasada
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Aiko Shinko
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Masahiro Kameda
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Takao Yasuhara
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Takashi Agari
- Department of Neurological Surgery, Kurashiki-Heisei Hospital, Okayama, Japan
| | - Isao Date
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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25
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Ozturk M, Abosch A, Francis D, Wu J, Jimenez‐Shahed J, Ince NF. Distinct Subthalamic Coupling in the ON State Describes Motor Performance in Parkinson's Disease. Mov Disord 2019; 35:91-100. [DOI: 10.1002/mds.27800] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 04/20/2019] [Accepted: 06/27/2019] [Indexed: 11/06/2022] Open
Affiliation(s)
- Musa Ozturk
- Department of Biomedical Engineering University of Houston Houston Texas USA
| | - Aviva Abosch
- Department of Neurosurgery University of Colorado Aurora Colorado USA
| | - David Francis
- Department of Psychology University of Houston Houston Texas USA
| | - Jianping Wu
- Restorative Therapies Group Implantables, Research and Core Technology, Medtronic Minneapolis Minnesota USA
| | | | - Nuri F. Ince
- Department of Biomedical Engineering University of Houston Houston Texas USA
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26
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Tekriwal A, Afshar NM, Santiago-Moreno J, Kuijper FM, Kern DS, Halpern CH, Felsen G, Thompson JA. Neural Circuit and Clinical Insights from Intraoperative Recordings During Deep Brain Stimulation Surgery. Brain Sci 2019; 9:brainsci9070173. [PMID: 31330813 PMCID: PMC6681002 DOI: 10.3390/brainsci9070173] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 12/15/2022] Open
Abstract
Observations using invasive neural recordings from patient populations undergoing neurosurgical interventions have led to critical breakthroughs in our understanding of human neural circuit function and malfunction. The opportunity to interact with patients during neurophysiological mapping allowed for early insights in functional localization to improve surgical outcomes, but has since expanded into exploring fundamental aspects of human cognition including reward processing, language, the storage and retrieval of memory, decision-making, as well as sensory and motor processing. The increasing use of chronic neuromodulation, via deep brain stimulation, for a spectrum of neurological and psychiatric conditions has in tandem led to increased opportunity for linking theories of cognitive processing and neural circuit function. Our purpose here is to motivate the neuroscience and neurosurgical community to capitalize on the opportunities that this next decade will bring. To this end, we will highlight recent studies that have successfully leveraged invasive recordings during deep brain stimulation surgery to advance our understanding of human cognition with an emphasis on reward processing, improving clinical outcomes, and informing advances in neuromodulatory interventions.
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Affiliation(s)
- Anand Tekriwal
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO 80203, USA
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO 80203, USA
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO 80203, USA
| | - Neema Moin Afshar
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO 80203, USA
| | - Juan Santiago-Moreno
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO 80203, USA
| | - Fiene Marie Kuijper
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Drew S Kern
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO 80203, USA
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO 80203, USA
| | - Casey H Halpern
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gidon Felsen
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO 80203, USA
| | - John A Thompson
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO 80203, USA.
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO 80203, USA.
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27
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Chrabaszcz A, Neumann WJ, Stretcu O, Lipski WJ, Bush A, Dastolfo-Hromack CA, Wang D, Crammond DJ, Shaiman S, Dickey MW, Holt LL, Turner RS, Fiez JA, Richardson RM. Subthalamic Nucleus and Sensorimotor Cortex Activity During Speech Production. J Neurosci 2019; 39:2698-2708. [PMID: 30700532 PMCID: PMC6445998 DOI: 10.1523/jneurosci.2842-18.2019] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 01/11/2019] [Accepted: 01/18/2019] [Indexed: 11/21/2022] Open
Abstract
The sensorimotor cortex is somatotopically organized to represent the vocal tract articulators such as lips, tongue, larynx, and jaw. How speech and articulatory features are encoded at the subcortical level, however, remains largely unknown. We analyzed LFP recordings from the subthalamic nucleus (STN) and simultaneous electrocorticography recordings from the sensorimotor cortex of 11 human subjects (1 female) with Parkinson's disease during implantation of deep-brain stimulation (DBS) electrodes while they read aloud three-phoneme words. The initial phonemes involved either articulation primarily with the tongue (coronal consonants) or the lips (labial consonants). We observed significant increases in high-gamma (60-150 Hz) power in both the STN and the sensorimotor cortex that began before speech onset and persisted for the duration of speech articulation. As expected from previous reports, in the sensorimotor cortex, the primary articulators involved in the production of the initial consonants were topographically represented by high-gamma activity. We found that STN high-gamma activity also demonstrated specificity for the primary articulator, although no clear topography was observed. In general, subthalamic high-gamma activity varied along the ventral-dorsal trajectory of the electrodes, with greater high-gamma power recorded in the dorsal locations of the STN. Interestingly, the majority of significant articulator-discriminative activity in the STN occurred before that in sensorimotor cortex. These results demonstrate that articulator-specific speech information is contained within high-gamma activity of the STN, but with different spatial and temporal organization compared with similar information encoded in the sensorimotor cortex.SIGNIFICANCE STATEMENT Clinical and electrophysiological evidence suggest that the subthalamic nucleus (STN) is involved in speech; however, this important basal ganglia node is ignored in current models of speech production. We previously showed that STN neurons differentially encode early and late aspects of speech production, but no previous studies have examined subthalamic functional organization for speech articulators. Using simultaneous LFP recordings from the sensorimotor cortex and the STN in patients with Parkinson's disease undergoing deep-brain stimulation surgery, we discovered that STN high-gamma activity tracks speech production at the level of vocal tract articulators before the onset of vocalization and often before related cortical encoding.
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Affiliation(s)
- Anna Chrabaszcz
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Campus Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany 10117
| | - Otilia Stretcu
- Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
| | - Witold J Lipski
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
| | - Alan Bush
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
- Department of Physics, FCEN, University of Buenos Aires and IFIBA-CONICET, Buenos Aires, Argentina 1428
| | - Christina A Dastolfo-Hromack
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
| | - Dengyu Wang
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
- School of Medicine, Tsinghua University, Beijing, China 100084
| | - Donald J Crammond
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213
| | - Susan Shaiman
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
| | - Michael W Dickey
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
| | - Lori L Holt
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
| | - Robert S Turner
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, and
- University of Pittsburgh Brain Institute, Pittsburgh, Pennsylvania 15213
| | - Julie A Fiez
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
- University of Pittsburgh Brain Institute, Pittsburgh, Pennsylvania 15213
| | - R Mark Richardson
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213,
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, and
- University of Pittsburgh Brain Institute, Pittsburgh, Pennsylvania 15213
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28
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Neudorfer C, Hinzke M, Hunsche S, El Majdoub F, Lozano A, Maarouf M. Combined Deep Brain Stimulation of Subthalamic Nucleus and Ventral Intermediate Thalamic Nucleus in Tremor‐Dominant Parkinson's Disease Using a Parietal Approach. Neuromodulation 2019; 22:493-502. [DOI: 10.1111/ner.12943] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 01/05/2019] [Accepted: 02/06/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Clemens Neudorfer
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
- Division of Neurosurgery, Department of Surgery University of Toronto Toronto ON Canada
| | - Markus Hinzke
- Department of Neurology Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Stefan Hunsche
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Faycal El Majdoub
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
| | - Andres Lozano
- Division of Neurosurgery, Department of Surgery University of Toronto Toronto ON Canada
| | - Mohammad Maarouf
- Department of Stereotaxy and Functional Neurosurgery Cologne‐Merheim Medical Center (CMMC), University of Witten/Herdecke Cologne Germany
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Tarnaud T, Tanghe E, Haesler S, Lopez CM, Martens L, Joseph W. Investigation of the Stimulation Capabilities of a High-Resolution Neurorecording Probe for the Application of Closed-Loop Deep Brain Stimulation. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:2166-2169. [PMID: 30440833 DOI: 10.1109/embc.2018.8512650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Deep brain stimulation is an established surgical treatment for several neurological and movement disorders, such as Parkinson's disease, in which electrostimulation is applied to targeted deep nuclei in the basal ganglia through implanted electrode leads. Recent technological improvements in the field have focused on the theoretical advantage of current steering and adaptive (closed-loop) deep brain stimulation. Current steering between several active electrodes would allow for improved accuracy when targeting the desired brain structures. This has the additional benefit of avoiding undesired stimulation of neural tracts that are related to side effects, e.g., internal capsule fibres of passage in subthalamic nucleus deep brain stimulation. Closed-loop deep brain stimulation is based on the premise of continuous recording of a proxy for pathological neural activity (such as beta-band power of measured local field potentials in patients with Parkinson's disease) and accordingly adapting the used stimulus parameters. In this study, we investigate the suitability of an existing highresolution neurorecording probe for high-precision neurostimulation. If a subset of the probe's recording electrodes can be used for stimulation, then the probe would be a suitable candidate for closed-loop deep brain stimulation. A finiteelement model is used to calculate the electric potential, induced by current injection through the high-resolution probe, for different sets of active electrodes. Volumes of activated tissue are calculated and a comparison is made between the highresolution probe and a conventional stimulation lead. We investigate the capability of the probe to shift the volume of activated tissue by steering currents to different sets of active electrodes. Finally, safety limits for the injected current are used to determine the size of the volume in which neurons can be activated with the relatively small electrodes patches on the highresolution probe.
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Telkes I, Viswanathan A, Jimenez-Shahed J, Abosch A, Ozturk M, Gupte A, Jankovic J, Ince NF. Local field potentials of subthalamic nucleus contain electrophysiological footprints of motor subtypes of Parkinson's disease. Proc Natl Acad Sci U S A 2018; 115:E8567-E8576. [PMID: 30131429 PMCID: PMC6130371 DOI: 10.1073/pnas.1810589115] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Although motor subtypes of Parkinson's disease (PD), such as tremor dominant (TD) and postural instability and gait difficulty (PIGD), have been defined based on symptoms since the mid-1990s, no underlying neural correlates of these clinical subtypes have yet been identified. Very limited data exist regarding the electrophysiological abnormalities within the subthalamic nucleus (STN) that likely accompany the symptom severity or the phenotype of PD. Here, we show that activity in subbands of local field potentials (LFPs) recorded with multiple microelectrodes from subterritories of STN provide distinguishing neurophysiological information about the motor subtypes of PD. We studied 24 patients with PD and found distinct patterns between TD (n = 13) and PIGD (n = 11) groups in high-frequency oscillations (HFOs) and their nonlinear interactions with beta band in the superior and inferior regions of the STN. Particularly, in the superior region of STN, the power of the slow HFO (sHFO) (200-260 Hz) and the coupling of its amplitude with beta-band phase were significantly stronger in the TD group. The inferior region of STN exhibited fast HFOs (fHFOs) (260-450 Hz), which have a significantly higher center frequency in the PIGD group. The cross-frequency coupling between fHFOs and beta band in the inferior region of STN was significantly stronger in the PIGD group. Our results indicate that the spatiospectral dynamics of STN-LFPs can be used as an objective method to distinguish these two motor subtypes of PD. These observations might lead to the development of sensing and stimulation strategies targeting the subterritories of STN for the personalization of deep-brain stimulation (DBS).
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Affiliation(s)
- Ilknur Telkes
- Department of Biomedical Engineering, University of Houston, Houston, TX 77204-5060
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX 77030
| | - Joohi Jimenez-Shahed
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX 77030
| | - Aviva Abosch
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO 80045
| | - Musa Ozturk
- Department of Biomedical Engineering, University of Houston, Houston, TX 77204-5060
| | - Akshay Gupte
- Department of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN 55455
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX 77030
| | - Nuri F Ince
- Department of Biomedical Engineering, University of Houston, Houston, TX 77204-5060;
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31
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Subthalamic Nucleus Neurons Differentially Encode Early and Late Aspects of Speech Production. J Neurosci 2018; 38:5620-5631. [PMID: 29789378 DOI: 10.1523/jneurosci.3480-17.2018] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 05/09/2018] [Accepted: 05/15/2018] [Indexed: 11/21/2022] Open
Abstract
Basal ganglia-thalamocortical loops mediate all motor behavior, yet little detail is known about the role of basal ganglia nuclei in speech production. Using intracranial recording during deep brain stimulation surgery in humans with Parkinson's disease, we tested the hypothesis that the firing rate of subthalamic nucleus neurons is modulated in sync with motor execution aspects of speech. Nearly half of 79 unit recordings exhibited firing-rate modulation during a syllable reading task across 12 subjects (male and female). Trial-to-trial timing of changes in subthalamic neuronal activity, relative to cue onset versus production onset, revealed that locking to cue presentation was associated more with units that decreased firing rate, whereas locking to speech onset was associated more with units that increased firing rate. These unique data indicate that subthalamic activity is dynamic during the production of speech, reflecting temporally-dependent inhibition and excitation of separate populations of subthalamic neurons.SIGNIFICANCE STATEMENT The basal ganglia are widely assumed to participate in speech production, yet no prior studies have reported detailed examination of speech-related activity in basal ganglia nuclei. Using microelectrode recordings from the subthalamic nucleus during a single-syllable reading task, in awake humans undergoing deep brain stimulation implantation surgery, we show that the firing rate of subthalamic nucleus neurons is modulated in response to motor execution aspects of speech. These results are the first to establish a role for subthalamic nucleus neurons in encoding of aspects of speech production, and they lay the groundwork for launching a modern subfield to explore basal ganglia function in human speech.
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32
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Thompson JA, Oukal S, Bergman H, Ojemann S, Hebb AO, Hanrahan S, Israel Z, Abosch A. Semi-automated application for estimating subthalamic nucleus boundaries and optimal target selection for deep brain stimulation implantation surgery. J Neurosurg 2018:1-10. [PMID: 29775152 DOI: 10.3171/2017.12.jns171964] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 12/04/2017] [Indexed: 11/06/2022]
Abstract
OBJECTIVEDeep brain stimulation (DBS) of the subthalamic nucleus (STN) has become standard care for the surgical treatment of Parkinson's disease (PD). Reliable interpretation of microelectrode recording (MER) data, used to guide DBS implantation surgery, requires expert electrophysiological evaluation. Recent efforts have endeavored to use electrophysiological signals for automatic detection of relevant brain structures and optimal implant target location.The authors conducted an observational case-control study to evaluate a software package implemented on an electrophysiological recording system to provide online objective estimates for entry into and exit from the STN. In addition, they evaluated the accuracy of the software in selecting electrode track and depth for DBS implantation into STN, which relied on detecting changes in spectrum activity.METHODSData were retrospectively collected from 105 MER-guided STN-DBS surgeries (4 experienced neurosurgeons; 3 sites), in which estimates for entry into and exit from the STN, DBS track selection, and implant depth were compared post hoc between those determined by the software and those determined by the implanting neurosurgeon/neurophysiologist during surgery.RESULTSThis multicenter study revealed submillimetric agreement between surgeon/neurophysiologist and software for entry into and exit out of the STN as well as optimal DBS implant depth.CONCLUSIONSThe results of this study demonstrate that the software can reliably and accurately estimate entry into and exit from the STN and select the track corresponding to ultimate DBS implantation.
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Affiliation(s)
- John A Thompson
- 1Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
| | | | - Hagai Bergman
- 2Department of Medical Neurobiology, The Hebrew University-Hadassah Medical School.,3Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Steven Ojemann
- 1Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
| | - Adam O Hebb
- 4Colorado Neurological Institute, Englewood, Colorado; and
| | - Sara Hanrahan
- 4Colorado Neurological Institute, Englewood, Colorado; and
| | - Zvi Israel
- 3Department of Neurosurgery, Hadassah Medical Center, Jerusalem, Israel
| | - Aviva Abosch
- 1Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
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Tekriwal A, Felsen G, Thompson JA. Modular auditory decision-making behavioral task designed for intraoperative use in humans. J Neurosci Methods 2018; 304:162-167. [PMID: 29746889 DOI: 10.1016/j.jneumeth.2018.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 05/04/2018] [Accepted: 05/05/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND Neurosurgical interventions that require active patient feedback, such as deep brain stimulation surgery, create an opportunity to conduct cognitive or behavioral experiments during the acquisition of invasive neurophysiology. Optimal design and implementation of intraoperative behavioral experiments require consideration of stimulus presentation, time and surgical constraints. We describe the use of a modular, inexpensive system that implements a decision-making paradigm, designed to overcome challenges associated with the operative environment. NEW METHOD We have created an auditory, two-alternative forced choice (2AFC) task for intraoperative use. Behavioral responses were acquired using an Arduino based single-hand held joystick controller equipped with a 3-axis accelerometer, and two button presses, capable of sampling at 2 kHz. We include designs for all task relevant code, 3D printed components, and Arduino pin-out diagram. RESULTS We demonstrate feasibility both in and out of the operating room with behavioral results represented by three healthy control subjects and two Parkinson's disease subjects undergoing deep brain stimulator implantation. Psychometric assessment of performance indicated that the subjects could detect, interpret and respond accurately to the task stimuli using the joystick controller. We also demonstrate, using intraoperative neurophysiology recorded during the task, that the behavioral system described here allows us to examine neural correlates of human behavior. COMPARISON WITH EXISTING METHODS For low cost and minimal effort, any clinical neural recording system can be adapted for intraoperative behavioral testing with our experimental setup. CONCLUSION Our system will enable clinicians and basic scientists to conduct intraoperative awake and behaving electrophysiologic studies in humans.
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Affiliation(s)
- Anand Tekriwal
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, USA; Medical Scientist Training Program, USA; Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gidon Felsen
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, USA; Medical Scientist Training Program, USA
| | - John A Thompson
- Medical Scientist Training Program, USA; Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO, USA.
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Pötter-Nerger M, Reese R, Steigerwald F, Heiden JA, Herzog J, Moll CKE, Hamel W, Ramirez-Pasos U, Falk D, Mehdorn M, Gerloff C, Deuschl G, Volkmann J. Movement-Related Activity of Human Subthalamic Neurons during a Reach-to-Grasp Task. Front Hum Neurosci 2017; 11:436. [PMID: 28936169 PMCID: PMC5594073 DOI: 10.3389/fnhum.2017.00436] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 08/15/2017] [Indexed: 12/31/2022] Open
Abstract
The aim of the study was to record movement-related single unit activity (SUA) in the human subthalamic nucleus (STN) during a standardized motor task of the upper limb. We performed microrecordings from the motor region of the human STN and registered kinematic data in 12 patients with Parkinson’s disease (PD) undergoing deep brain stimulation surgery (seven women, mean age 62.0 ± 4.7 years) while they intraoperatively performed visually cued reach-to-grasp movements using a grip device. SUA was analyzed offline in relation to different aspects of the movement (attention, start of the movement, movement velocity, button press) in terms of firing frequency, firing pattern, and oscillation. During the reach-to-grasp movement, 75/114 isolated subthalamic neurons exhibited movement-related activity changes. The largest proportion of single units showed modulation of firing frequency during several phases of the reach and grasp (polymodal neurons, 45/114), particularly an increase of firing rate during the reaching phase of the movement, which often correlated with movement velocity. The firing pattern (bursting, irregular, or tonic) remained unchanged during movement compared to rest. Oscillatory single unit firing activity (predominantly in the theta and beta frequency) decreased with movement onset, irrespective of oscillation frequency. This study shows for the first time specific, task-related, SUA changes during the reach-to-grasp movement in humans.
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Affiliation(s)
- Monika Pötter-Nerger
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany.,Department of Neurology, University Hamburg-EppendorfHamburg, Germany
| | - Rene Reese
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany.,Department of Neurology, University RostockRostock, Germany
| | - Frank Steigerwald
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany.,Department of Neurology, Julius-Maximilian UniversityWürzburg, Germany
| | - Jan Arne Heiden
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany
| | - Jan Herzog
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany
| | - Christian K E Moll
- Department of Neurophysiology, University Hamburg-EppendorfHamburg, Germany
| | - Wolfgang Hamel
- Department of Neurosurgery, University Hamburg-EppendorfHamburg, Germany
| | - Uri Ramirez-Pasos
- Department of Neurology, Julius-Maximilian UniversityWürzburg, Germany
| | - Daniela Falk
- Department of Neurosurgery, Christian-Albrechts-UniversityKiel, Germany
| | | | - Christian Gerloff
- Department of Neurology, University Hamburg-EppendorfHamburg, Germany
| | - Günther Deuschl
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany
| | - Jens Volkmann
- Department of Neurology, Christian-Albrechts-UniversityKiel, Germany.,Department of Neurology, Julius-Maximilian UniversityWürzburg, Germany
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35
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Lipski WJ, Wozny TA, Alhourani A, Kondylis ED, Turner RS, Crammond DJ, Richardson RM. Dynamics of human subthalamic neuron phase-locking to motor and sensory cortical oscillations during movement. J Neurophysiol 2017; 118:1472-1487. [PMID: 28592690 PMCID: PMC5596141 DOI: 10.1152/jn.00964.2016] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 05/01/2017] [Accepted: 06/01/2017] [Indexed: 01/19/2023] Open
Abstract
Coupled oscillatory activity recorded between sensorimotor regions of the basal ganglia-thalamocortical loop is thought to reflect information transfer relevant to movement. A neuronal firing-rate model of basal ganglia-thalamocortical circuitry, however, has dominated thinking about basal ganglia function for the past three decades, without knowledge of the relationship between basal ganglia single neuron firing and cortical population activity during movement itself. We recorded activity from 34 subthalamic nucleus (STN) neurons, simultaneously with cortical local field potentials and motor output, in 11 subjects with Parkinson's disease (PD) undergoing awake deep brain stimulator lead placement. STN firing demonstrated phase synchronization to both low- and high-beta-frequency cortical oscillations, and to the amplitude envelope of gamma oscillations, in motor cortex. We found that during movement, the magnitude of this synchronization was dynamically modulated in a phase-frequency-specific manner. Importantly, we found that phase synchronization was not correlated with changes in neuronal firing rate. Furthermore, we found that these relationships were not exclusive to motor cortex, because STN firing also demonstrated phase synchronization to both premotor and sensory cortex. The data indicate that models of basal ganglia function ultimately will need to account for the activity of populations of STN neurons that are bound in distinct functional networks with both motor and sensory cortices and code for movement parameters independent of changes in firing rate.NEW & NOTEWORTHY Current models of basal ganglia-thalamocortical networks do not adequately explain simple motor functions, let alone dysfunction in movement disorders. Our findings provide data that inform models of human basal ganglia function by demonstrating how movement is encoded by networks of subthalamic nucleus (STN) neurons via dynamic phase synchronization with cortex. The data also demonstrate, for the first time in humans, a mechanism through which the premotor and sensory cortices are functionally connected to the STN.
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Affiliation(s)
- Witold J Lipski
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania; and
| | - Thomas A Wozny
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ahmad Alhourani
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Efstathios D Kondylis
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Robert S Turner
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania; and
- University of Pittsburgh Brain Institute, Pittsburgh, Pennsylvania
| | - Donald J Crammond
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Robert Mark Richardson
- Brain Modulation Laboratory, Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania;
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania; and
- University of Pittsburgh Brain Institute, Pittsburgh, Pennsylvania
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36
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Lozano AM, Hutchison WD, Kalia SK. What Have We Learned About Movement Disorders from Functional Neurosurgery? Annu Rev Neurosci 2017; 40:453-477. [DOI: 10.1146/annurev-neuro-070815-013906] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Andres M. Lozano
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario M5T 2S8, Canada;, ,
- Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - William D. Hutchison
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario M5T 2S8, Canada;, ,
- Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Suneil K. Kalia
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario M5T 2S8, Canada;, ,
- Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
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37
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Kolb R, Abosch A, Felsen G, Thompson JA. Use of intraoperative local field potential spectral analysis to differentiate basal ganglia structures in Parkinson's disease patients. Physiol Rep 2017; 5:e13322. [PMID: 28642341 PMCID: PMC5492209 DOI: 10.14814/phy2.13322] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 05/24/2017] [Indexed: 01/06/2023] Open
Abstract
Identification of brain structures traversed during implantation of deep brain-stimulating (DBS) electrodes into the subthalamic nucleus (STN-DBS) for the treatment of Parkinson's disease (PD) frequently relies on subjective correspondence between kinesthetic response and multiunit activity. However, recent work suggests that local field potentials (LFP) could be used as a more robust signal to objectively differentiate subcortical structures. The goal of this study was to analyze the spectral properties of LFP collected during STN-DBS in order to objectively identify commonly traversed brain regions and improve our understanding of aberrant oscillations in the PD-related pathophysiological cortico-basal ganglia network. In 21 PD patients, LFP were collected and analyzed during STN-DBS implantation surgery. Spectral power for delta-, theta-, alpha-, low-beta-, and high-beta-frequency bands was assessed at multiple depths throughout the subcortical structures traversed on the trajectory to the ventral border of STN. Similar to previous findings, beta-band oscillations had an increased magnitude within the borders of the motor-related area of STN, however, across several subjects, we also observed increased high-beta magnitude within the borders of thalamus. Comparing across all patients using relative power, we observed a gradual increase in the magnitude of both low- and high-beta-frequency bands as the electrode descended from striatum to STN. These results were also compared with frequency bands below beta, and similar trends were observed. Our results suggest that LFP signals recorded during the implantation of a DBS electrode evince distinct oscillatory signatures that distinguish subcortical structures.
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Affiliation(s)
- Rachel Kolb
- Department of Bioengineering, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Aviva Abosch
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Gidon Felsen
- Department of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - John A Thompson
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado, USA
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38
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Tankus A, Strauss I, Gurevich T, Mirelman A, Giladi N, Fried I, Hausdorff JM. Subthalamic Neurons Encode Both Single- and Multi-Limb Movements in Parkinson's Disease Patients. Sci Rep 2017; 7:42467. [PMID: 28211850 PMCID: PMC5304178 DOI: 10.1038/srep42467] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 01/11/2017] [Indexed: 11/30/2022] Open
Abstract
The subthalamic nucleus (STN) is the main target for neurosurgical treatment of motor signs of Parkinson’s disease (PD). Despite the therapeutic effect on both upper and lower extremities, its role in motor control and coordination and its changes in Parkinson’s disease are not fully clear. We intraoperatively recorded single unit activity in ten patients with PD who performed repetitive feet or hand movements while undergoing implantation of a deep brain stimulator. We found both distinct and overlapping representations of upper and lower extremity movement kinematics in subthalamic units and observed evidence for re-routing to a multi-limb representation that participates in limb coordination. The well-known subthalamic somatotopy showed a large overlap of feet and hand representations in the PD patients. This overlap and excessive amounts of kinematics or coordination units may reflect pathophysiology or compensatory mechanisms. Our findings thus explain, at the single neuron level, the important subthalamic role in motor control and coordination and indicate the effect of PD on the neuronal representation of movement.
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Affiliation(s)
- Ariel Tankus
- Center for study of Movement, Cognition and Mobility, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv 6423906, Israel.,Functional Neurosurgery Unit, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.,Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Ido Strauss
- Functional Neurosurgery Unit, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
| | - Tanya Gurevich
- Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel.,Department of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv 6423906, Israel
| | - Anat Mirelman
- Center for study of Movement, Cognition and Mobility, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv 6423906, Israel.,Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Nir Giladi
- Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel.,Department of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv 6423906, Israel.,Sieratzki Chair in Neurology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Itzhak Fried
- Functional Neurosurgery Unit, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.,Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.,Department of Neurosurgery, University of California, Los Angeles, CA 90095, USA
| | - Jeffrey M Hausdorff
- Center for study of Movement, Cognition and Mobility, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel-Aviv 6423906, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel.,Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
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39
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Stefani A, Trendafilov V, Liguori C, Fedele E, Galati S. Subthalamic nucleus deep brain stimulation on motor-symptoms of Parkinson's disease: Focus on neurochemistry. Prog Neurobiol 2017; 151:157-174. [PMID: 28159574 DOI: 10.1016/j.pneurobio.2017.01.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 01/20/2017] [Accepted: 01/22/2017] [Indexed: 12/19/2022]
Abstract
Deep brain stimulation (DBS) has become a standard therapy for Parkinson's disease (PD) and it is also currently under investigation for other neurological and psychiatric disorders. Although many scientific, clinical and ethical issues are still unresolved, DBS delivered into the subthalamic nucleus (STN) has improved the quality of life of several thousands of patients. The mechanisms underlying STN-DBS have been debated extensively in several reviews; less investigated are the biochemical consequences, which are still under scrutiny. Crucial and only partially understood, for instance, are the complex interplays occurring between STN-DBS and levodopa (LD)-centred therapy in the post-surgery follow-up. The main goal of this review is to address the question of whether an improved motor control, based on STN-DBS therapy, is also achieved through the additional modulation of other neurotransmitters, such as noradrenaline (NA) and serotonin (5-HT). A critical issue is to understand not only acute DBS-mediated effects, but also chronic changes, such as those involving cyclic nucleotides, capable of modulating circuit plasticity. The present article will discuss the neurochemical changes promoted by STN-DBS and will document the main results obtained in microdialysis studies. Furthermore, we will also examine the preliminary achievements of voltammetry applied to humans, and discuss new hypothetical investigational routes, taking into account novel players such as glia, or subcortical regions such as the pedunculopontine (PPN) area. Our further understanding of specific changes in brain chemistry promoted by STN-DBS would further disseminate its utilisation, at any stage of disease, avoiding an irreversible lesioning approach.
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Affiliation(s)
- A Stefani
- Department of System Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy
| | - V Trendafilov
- Laboratory for Biomedical Neurosciences (LBN), Neurocenter of Southern Switzerland (NSI), Lugano, Switzerland
| | - C Liguori
- Department of System Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy
| | - E Fedele
- Department of Pharmacy, Pharmacology and Toxicology Unit and Center of Excellence for Biomedical Research, University of Genoa, 16148 Genoa, Italy
| | - S Galati
- Laboratory for Biomedical Neurosciences (LBN), Neurocenter of Southern Switzerland (NSI), Lugano, Switzerland.
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Accolla EA, Herrojo Ruiz M, Horn A, Schneider GH, Schmitz-Hübsch T, Draganski B, Kühn AA. Brain networks modulated by subthalamic nucleus deep brain stimulation. Brain 2016; 139:2503-15. [PMID: 27412387 DOI: 10.1093/brain/aww182] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 06/15/2016] [Indexed: 01/19/2023] Open
Abstract
Deep brain stimulation of the subthalamic nucleus is an established treatment for the motor symptoms of Parkinson's disease. Given the frequent occurrence of stimulation-induced affective and cognitive adverse effects, a better understanding about the role of the subthalamic nucleus in non-motor functions is needed. The main goal of this study is to characterize anatomical circuits modulated by subthalamic deep brain stimulation, and infer about the inner organization of the nucleus in terms of motor and non-motor areas. Given its small size and anatomical intersubject variability, functional organization of the subthalamic nucleus is difficult to investigate in vivo with current methods. Here, we used local field potential recordings obtained from 10 patients with Parkinson's disease to identify a subthalamic area with an analogous electrophysiological signature, namely a predominant beta oscillatory activity. The spatial accuracy was improved by identifying a single contact per macroelectrode for its vicinity to the electrophysiological source of the beta oscillation. We then conducted whole brain probabilistic tractography seeding from the previously identified contacts, and further described connectivity modifications along the macroelectrode's main axis. The designated subthalamic 'beta' area projected predominantly to motor and premotor cortical regions additional to connections to limbic and associative areas. More ventral subthalamic areas showed predominant connectivity to medial temporal regions including amygdala and hippocampus. We interpret our findings as evidence for the convergence of different functional circuits within subthalamic nucleus' portions deemed to be appropriate as deep brain stimulation target to treat motor symptoms in Parkinson's disease. Potential clinical implications of our study are illustrated by an index case where deep brain stimulation of estimated predominant non-motor subthalamic nucleus induced hypomanic behaviour.
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Affiliation(s)
- Ettore A Accolla
- 1 Department of Neurology, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany 2 Neurology Unit, Medicine Department, HFR Cantonal Hospital and Faculty of Sciences, University of Fribourg, 1708 Fribourg, Switzerland
| | - Maria Herrojo Ruiz
- 1 Department of Neurology, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany 3 Department of Psychology, Goldsmiths, University of London, London SE14 6NW, UK
| | - Andreas Horn
- 1 Department of Neurology, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany
| | - Gerd-Helge Schneider
- 4 Department of Neurosurgery, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany
| | - Tanja Schmitz-Hübsch
- 1 Department of Neurology, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany
| | - Bogdan Draganski
- 5 LREN - Département des neurosciences cliniques, CHUV, Université de Lausanne, 1011 Lausanne, Switzerland 6 Max Planck Institute for Human Cognitive and Brain Science, 04103 Leipzig, Germany
| | - Andrea A Kühn
- 1 Department of Neurology, Charité University Medicine Berlin, Campus Virchow, 13353 Berlin, Germany 7 Berlin School of Mind and Brain, Humboldt University, 10117 Berlin, Germany 8 NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany 9 DZNE, Berlin, Germany
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41
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Belasen A, Youn Y, Gee L, Prusik J, Lai B, Ramirez-Zamora A, Rizvi K, Yeung P, Shin DS, Argoff C, Pilitsis JG. The Effects of Mechanical and Thermal Stimuli on Local Field Potentials and Single Unit Activity in Parkinson's Disease Patients. Neuromodulation 2016; 19:698-707. [DOI: 10.1111/ner.12453] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 04/24/2016] [Accepted: 04/24/2016] [Indexed: 12/30/2022]
Affiliation(s)
- Abigail Belasen
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | - Youngwon Youn
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | - Lucy Gee
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
- Department of Neuroscience and Experimental Therapeutics; Albany Medical College; Albany NY USA
| | - Julia Prusik
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | - Brant Lai
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | | | - Khizer Rizvi
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | - Philip Yeung
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
| | - Damian S. Shin
- Department of Neuroscience and Experimental Therapeutics; Albany Medical College; Albany NY USA
| | - Charles Argoff
- Department of Neurology; Albany Medical Center; Albany NY USA
| | - Julie G. Pilitsis
- Department of Neurosurgery; Albany Medical Center; Albany NY USA
- Department of Neuroscience and Experimental Therapeutics; Albany Medical College; Albany NY USA
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Knieling S, Sridharan KS, Belardinelli P, Naros G, Weiss D, Mormann F, Gharabaghi A. An Unsupervised Online Spike-Sorting Framework. Int J Neural Syst 2016; 26:1550042. [DOI: 10.1142/s0129065715500422] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Extracellular neuronal microelectrode recordings can include action potentials from multiple neurons. To separate spikes from different neurons, they can be sorted according to their shape, a procedure referred to as spike-sorting. Several algorithms have been reported to solve this task. However, when clustering outcomes are unsatisfactory, most of them are difficult to adjust to achieve the desired results. We present an online spike-sorting framework that uses feature normalization and weighting to maximize the distinctiveness between different spike shapes. Furthermore, multiple criteria are applied to either facilitate or prevent cluster fusion, thereby enabling experimenters to fine-tune the sorting process. We compare our method to established unsupervised offline (Wave_Clus (WC)) and online (OSort (OS)) algorithms by examining their performance in sorting various test datasets using two different scoring systems (AMI and the Adamos metric). Furthermore, we evaluate sorting capabilities on intra-operative recordings using established quality metrics. Compared to WC and OS, our algorithm achieved comparable or higher scores on average and produced more convincing sorting results for intra-operative datasets. Thus, the presented framework is suitable for both online and offline analysis and could substantially improve the quality of microelectrode-based data evaluation for research and clinical application.
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Affiliation(s)
- Simeon Knieling
- Division of Functional and Restorative Neurosurgery & Division of Translational Neurosurgery, Department of Neurosurgery, and Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen, Otfried-Mueller-Str.45, 72076 Tuebingen, Germany
- Cognitive and Clinical Neurophysiology, Department of Epileptology, University of Bonn, Bonn, Germany
| | - Kousik S. Sridharan
- Division of Functional and Restorative Neurosurgery & Division of Translational Neurosurgery, Department of Neurosurgery, and Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen, Otfried-Mueller-Str.45, 72076 Tuebingen, Germany
| | - Paolo Belardinelli
- Division of Functional and Restorative Neurosurgery & Division of Translational Neurosurgery, Department of Neurosurgery, and Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen, Otfried-Mueller-Str.45, 72076 Tuebingen, Germany
| | - Georgios Naros
- Division of Functional and Restorative Neurosurgery & Division of Translational Neurosurgery, Department of Neurosurgery, and Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen, Otfried-Mueller-Str.45, 72076 Tuebingen, Germany
| | - Daniel Weiss
- Department for Neurodegenerative Diseases and Hertie Institute for Clinical Brain Research, and German Centre of Neurodegenerative Diseases (DZNE), Eberhard Karls University Tuebingen, Germany
| | - Florian Mormann
- Cognitive and Clinical Neurophysiology, Department of Epileptology, University of Bonn, Bonn, Germany
| | - Alireza Gharabaghi
- Division of Functional and Restorative Neurosurgery & Division of Translational Neurosurgery, Department of Neurosurgery, and Neuroprosthetics Research Group, Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen, Otfried-Mueller-Str.45, 72076 Tuebingen, Germany
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43
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Telkes I, Jimenez-Shahed J, Viswanathan A, Abosch A, Ince NF. Prediction of STN-DBS Electrode Implantation Track in Parkinson's Disease by Using Local Field Potentials. Front Neurosci 2016; 10:198. [PMID: 27242404 PMCID: PMC4860394 DOI: 10.3389/fnins.2016.00198] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 04/21/2016] [Indexed: 12/24/2022] Open
Abstract
Optimal electrophysiological placement of the DBS electrode may lead to better long term clinical outcomes. Inter-subject anatomical variability and limitations in stereotaxic neuroimaging increase the complexity of physiological mapping performed in the operating room. Microelectrode single unit neuronal recording remains the most common intraoperative mapping technique, but requires significant expertise and is fraught by potential technical difficulties including robust measurement of the signal. In contrast, local field potentials (LFPs), owing to their oscillatory and robust nature and being more correlated with the disease symptoms, can overcome these technical issues. Therefore, we hypothesized that multiple spectral features extracted from microelectrode-recorded LFPs could be used to automate the identification of the optimal track and the STN localization. In this regard, we recorded LFPs from microelectrodes in three tracks from 22 patients during DBS electrode implantation surgery at different depths and aimed to predict the track selected by the neurosurgeon based on the interpretation of single unit recordings. A least mean square (LMS) algorithm was used to de-correlate LFPs in each track, in order to remove common activity between channels and increase their spatial specificity. Subband power in the beta band (11–32 Hz) and high frequency range (200–450 Hz) were extracted from the de-correlated LFP data and used as features. A linear discriminant analysis (LDA) method was applied both for the localization of the dorsal border of STN and the prediction of the optimal track. By fusing the information from these low and high frequency bands, the dorsal border of STN was localized with a root mean square (RMS) error of 1.22 mm. The prediction accuracy for the optimal track was 80%. Individual beta band (11–32 Hz) and the range of high frequency oscillations (200–450 Hz) provided prediction accuracies of 72 and 68% respectively. The best prediction result obtained with monopolar LFP data was 68%. These results establish the initial evidence that LFPs can be strategically fused with computational intelligence in the operating room for STN localization and the selection of the track for chronic DBS electrode implantation.
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Affiliation(s)
- Ilknur Telkes
- Clinical Neural Engineering Lab., Biomedical Engineering Department, University of Houston Houston, TX, USA
| | | | | | - Aviva Abosch
- Department of Neurosurgery, University of Colorado Aurora, CO, USA
| | - Nuri F Ince
- Clinical Neural Engineering Lab., Biomedical Engineering Department, University of Houston Houston, TX, USA
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Tsai ST, Chuang WY, Kuo CC, Chao PCP, Chen TY, Hung HY, Chen SY. Dorsolateral subthalamic neuronal activity enhanced by median nerve stimulation characterizes Parkinson’s disease during deep brain stimulation with general anesthesia. J Neurosurg 2015; 123:1394-400. [DOI: 10.3171/2014.11.jns141208] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT
Deep brain stimulation (DBS) surgery under general anesthesia is an alternative option for patients with Parkinson’s disease (PD). However, few studies are available that report whether neuronal firing can be accurately recorded during this condition. In this study the authors attempted to characterize the neuronal activity of the subthalamic nucleus (STN) and elucidate the influence of general anesthetics on neurons during DBS surgery in patients with PD. The benefit of median nerve stimulation (MNS) for localization of the dorsolateral subterritory of the STN, which is involved in sensorimotor function, was explored.
METHODS
Eight patients with PD were anesthetized with desflurane and underwent contralateral MNS at the wrist during microelectrode recording of the STN. The authors analyzed the spiking patterns and power spectral density (PSD) of the background activity along each penetration track and determined the spatial correlation to the target location, estimated mated using standard neurophysiological procedures.
RESULTS
The dorsolateral STN spiking pattern showed a more prominent bursting pattern without MNS and more oscillation with MNS. In terms of the neural oscillation of the background activity, beta-band oscillation dominated within the sensorimotor STN and showed significantly more PSD during MNS (p < 0.05).
CONCLUSIONS
Neuronal firing within the STN could be accurately identified and differentiated when patients with PD received general anesthetics. Median nerve stimulation can enhance the neural activity in beta-band oscillations, which can be used as an index to ensure optimal electrode placement via successfully tracked dorsolateral STN topography.
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Affiliation(s)
| | - Wei-Yi Chuang
- 5Department of Electrical Engineering, National Chiao-Tung University, Hsinchu, Taiwan
| | | | - Paul C. P. Chao
- 5Department of Electrical Engineering, National Chiao-Tung University, Hsinchu, Taiwan
| | - Tsung-Ying Chen
- 2Anesthesiology, Buddhist Tzu Chi General Hospital, Hualien
- 3Departments of Medicine and
| | | | - Shin-Yuan Chen
- 1Departments of Neurosurgery and
- 3Departments of Medicine and
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45
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Alkemade A, Schnitzler A, Forstmann BU. Topographic organization of the human and non-human primate subthalamic nucleus. Brain Struct Funct 2015; 220:3075-86. [PMID: 25921975 PMCID: PMC4575692 DOI: 10.1007/s00429-015-1047-2] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 04/15/2015] [Indexed: 12/22/2022]
Abstract
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is used to relieve motor symptoms of Parkinson's disease. A tripartite system of STN subdivisions serving motoric, associative, and limbic functions was proposed, mainly based on tracing studies, which are limited by low numbers of observations. The evidence is compelling and raises the question as to what extent these functional zones are anatomically segregated. The majority of studies indicate that there is anatomical overlap between STN functional zones. Using ultrahigh-resolution magnetic resonance imaging techniques it is now possible to visualize the STN with high spatial resolution, and it is feasible that in the near future stereotactic guided placement of electrical stimulators aided by high-resolution imaging will allow for more specific stimulation of the STN. The neuroanatomical and functional makeup of these subdivisions and their level of overlap would benefit from clarification before serving as surgical targets. We discuss histological and imaging studies, as well as clinical observations and electrophysiological recordings in DBS patients. These studies provide evidence for a topographical organization within the STN, although it remains unclear to what extent functionally and anatomically distinct subdivisions overlap.
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Affiliation(s)
- Anneke Alkemade
- Cognitive Science Center Amsterdam, University of Amsterdam, Nieuwe Achtergracht 129, 1018 WS, Amsterdam, The Netherlands.
| | - Alfons Schnitzler
- Department of Neurology, Medical Faculty, Center for Movement Disorders and Neuromodulation, Heinrich-Heine University, Düsseldorf, Germany.,Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Düsseldorf, Germany
| | - Birte U Forstmann
- Cognitive Science Center Amsterdam, University of Amsterdam, Nieuwe Achtergracht 129, 1018 WS, Amsterdam, The Netherlands
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46
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Wang J, Hirschmann J, Elben S, Hartmann CJ, Vesper J, Wojtecki L, Schnitzler A. High-frequency oscillations in Parkinson's disease: spatial distribution and clinical relevance. Mov Disord 2014; 29:1265-72. [PMID: 25041924 DOI: 10.1002/mds.25962] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Revised: 05/20/2014] [Accepted: 06/02/2014] [Indexed: 11/08/2022] Open
Abstract
The pathophysiology of Parkinson's disease (PD) has been related to excessive beta band oscillations in the basal ganglia. Recent recordings from the subthalamic nucleus of PD patients showed that beta oscillations show strong cross-frequency coupling with high-frequency oscillations (>200 Hz). However, little is known about the characteristics and functional properties of these oscillations. We studied the spatial distribution of high-frequency oscillations and their relation to PD motor symptoms. We included 10 PD patients in medication OFF who underwent implantation of deep brain stimulation (DBS) electrodes. Intraoperative five-channel microelectrode recordings were performed at 9 to 10 recording sites within the subthalamic nucleus and its immediate surroundings. We found a focal spatial distribution of high-frequency oscillations with highest power 2 mm below the dorsolateral border of the subthalamic nucleus. Within the subthalamic nucleus, power peaked slightly anterior to the DBS target site. In addition, contralateral akinesia/rigidity scores were negatively correlated with high-frequency oscillation power. Our results demonstrate a focal origin of high-frequency oscillations within the subthalamic nucleus and provide further evidence for their functional association with motor state.
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Affiliation(s)
- Jing Wang
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University, P. R. China
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Bosch-Bouju C, Hyland BI, Parr-Brownlie LC. Motor thalamus integration of cortical, cerebellar and basal ganglia information: implications for normal and parkinsonian conditions. Front Comput Neurosci 2013; 7:163. [PMID: 24273509 PMCID: PMC3822295 DOI: 10.3389/fncom.2013.00163] [Citation(s) in RCA: 157] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 10/24/2013] [Indexed: 12/23/2022] Open
Abstract
Motor thalamus (Mthal) is implicated in the control of movement because it is strategically located between motor areas of the cerebral cortex and motor-related subcortical structures, such as the cerebellum and basal ganglia (BG). The role of BG and cerebellum in motor control has been extensively studied but how Mthal processes inputs from these two networks is unclear. Specifically, there is considerable debate about the role of BG inputs on Mthal activity. This review summarizes anatomical and physiological knowledge of the Mthal and its afferents and reviews current theories of Mthal function by discussing the impact of cortical, BG and cerebellar inputs on Mthal activity. One view is that Mthal activity in BG and cerebellar-receiving territories is primarily "driven" by glutamatergic inputs from the cortex or cerebellum, respectively, whereas BG inputs are modulatory and do not strongly determine Mthal activity. This theory is steeped in the assumption that the Mthal processes information in the same way as sensory thalamus, through interactions of modulatory inputs with a single driver input. Another view, from BG models, is that BG exert primary control on the BG-receiving Mthal so it effectively relays information from BG to cortex. We propose a new "super-integrator" theory where each Mthal territory processes multiple driver or driver-like inputs (cortex and BG, cortex and cerebellum), which are the result of considerable integrative processing. Thus, BG and cerebellar Mthal territories assimilate motivational and proprioceptive motor information previously integrated in cortico-BG and cortico-cerebellar networks, respectively, to develop sophisticated motor signals that are transmitted in parallel pathways to cortical areas for optimal generation of motor programmes. Finally, we briefly review the pathophysiological changes that occur in the BG in parkinsonism and generate testable hypotheses about how these may affect processing of inputs in the Mthal.
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Affiliation(s)
- Clémentine Bosch-Bouju
- 1Department of Anatomy, Otago School of Medical Science, University of Otago Dunedin, New Zealand ; 2Brain Health Research Centre, Otago School of Medical Science, University of Otago Dunedin, New Zealand
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48
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Eitan R, Shamir RR, Linetsky E, Rosenbluh O, Moshel S, Ben-Hur T, Bergman H, Israel Z. Asymmetric right/left encoding of emotions in the human subthalamic nucleus. Front Syst Neurosci 2013; 7:69. [PMID: 24194703 PMCID: PMC3810611 DOI: 10.3389/fnsys.2013.00069] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Accepted: 10/04/2013] [Indexed: 01/13/2023] Open
Abstract
Emotional processing is lateralized to the non-dominant brain hemisphere. However, there is no clear spatial model for lateralization of emotional domains in the basal ganglia. The subthalamic nucleus (STN), an input structure in the basal ganglia network, plays a major role in the pathophysiology of Parkinson's disease (PD). This role is probably not limited only to the motor deficits of PD, but may also span the emotional and cognitive deficits commonly observed in PD patients. Beta oscillations (12–30 Hz), the electrophysiological signature of PD, are restricted to the dorsolateral part of the STN that corresponds to the anatomically defined sensorimotor STN. The more medial, more anterior and more ventral parts of the STN are thought to correspond to the anatomically defined limbic and associative territories of the STN. Surprisingly, little is known about the electrophysiological properties of the non-motor domains of the STN, nor about electrophysiological differences between right and left STNs. In this study, microelectrodes were utilized to record the STN spontaneous spiking activity and responses to vocal non-verbal emotional stimuli during deep brain stimulation (DBS) surgeries in human PD patients. The oscillation properties of the STN neurons were used to map the dorsal oscillatory and the ventral non-oscillatory regions of the STN. Emotive auditory stimulation evoked activity in the ventral non-oscillatory region of the right STN. These responses were not observed in the left ventral STN or in the dorsal regions of either the right or left STN. Therefore, our results suggest that the ventral non-oscillatory regions are asymmetrically associated with non-motor functions, with the right ventral STN associated with emotional processing. These results suggest that DBS of the right ventral STN may be associated with beneficial or adverse emotional effects observed in PD patients and may relieve mental symptoms in other neurological and psychiatric diseases.
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Affiliation(s)
- Renana Eitan
- Department of Psychiatry, Hadassah-Hebrew University Medical Center Jerusalem, Israel
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Umemura A, Oka Y, Yamada K, Oyama G, Shimo Y, Hattori N. Validity of single tract microelectrode recording in subthalamic nucleus stimulation. Neurol Med Chir (Tokyo) 2013; 53:821-7. [PMID: 24140767 PMCID: PMC4508719 DOI: 10.2176/nmc.oa2012-0412] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
In surgery for subthalamic nucleus (STN) deep brain stimulation (DBS), precise implantation of the lead into the STN is essential. Physiological refinement with microelectrode recording (MER) is the gold standard for identifying STN. We studied single tract MER findings and surgical outcomes and verified our surgical method using single tract MER. The number of trajectories in MER and the final position of lead placement were retrospectively analyzed in 440 sides of STN DBS in 221 patients. Bilateral STN DBS yielded marked improvement in the motor score, dyskinesia/fluctuation score, and reduced requirement of dopaminergic medication in this series. The number of trajectories required to obtain sufficient activity of the STN was one in 79.0%, two in 18.2%, and three or more in 2.5% of 440 sides. In 92 sides requiring altered trajectory, the final direction of trajectory movement was posterior in 73.9%, anterior in 13.0%, lateral in 5.4%, and medial in 4.3%. In 18 patients, posterior moves were required due to significant brain shift with intracranial air caused by outflow of CSF during the second side procedure. Sufficient STN activity is obtained with minimum trajectories by proper targeting and precise interpretation of MER findings even in the single tract method. Anterior–posterior moves rather than medial–lateral moves should be attempted first in cases with insufficient recording of STN activity.
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Affiliation(s)
- Atsushi Umemura
- Department of Research and Therapeutics for Movement Disorders, Juntendo University School of Medicine
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50
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LEE D, HENRIQUES DY, SNIDER J, SONG D, POIZNER H. Reaching to proprioceptively defined targets in Parkinson's disease: effects of deep brain stimulation therapy. Neuroscience 2013; 244:99-112. [PMID: 23590906 PMCID: PMC3780593 DOI: 10.1016/j.neuroscience.2013.04.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Revised: 04/04/2013] [Accepted: 04/05/2013] [Indexed: 11/26/2022]
Abstract
Deep brain stimulation of the subthalamic nucleus (STN DBS) provides a unique window into human brain function since it can reversibly alter the functioning of specific brain circuits. Basal ganglia-cortical circuits are thought to be excessively noisy in patients with Parkinson's disease (PD), based in part on the lack of specificity of proprioceptive signals in basal ganglia-thalamic-cortical circuits in monkey models of the disease. PD patients are known to have deficits in proprioception, but the effects are often subtle, with paradigms typically restricted to one or two joint movements in a plane. Moreover, the effects of STN DBS on proprioception are virtually unexplored. We tested the following hypotheses: first, that PD patients will show substantial deficits in unconstrained, multi-joint proprioception, and, second, that STN DBS will improve multi-joint proprioception. Twelve PD patients with bilaterally implanted electrodes in the subthalamic nucleus and 12 age-matched healthy subjects were asked to position the left hand at a location that was proprioceptively defined in 3D space with the right hand. In a second condition, subjects were provided visual feedback during the task so that they were not forced to rely on proprioception. Overall, with STN DBS switched off, PD patients showed significantly larger proprioceptive localization errors, and greater variability in endpoint localizations than the control subjects. Visual feedback partially normalized PD performance, and demonstrated that the errors in proprioceptive localization were not simply due to a difficulty in executing the movements or in remembering target locations. Switching STN DBS on significantly reduced localization errors from those of control subjects when patients moved without visual feedback relative to when they moved with visual feedback (when proprioception was not required). However, this reduction in localization errors without vision came at the cost of increased localization variability.
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Affiliation(s)
- D. LEE
- Institute for Neural Computation, University of California, San Diego, CA, United States
| | - D. Y. HENRIQUES
- School of Kinesiology & Health Science Centre for Vision Research, York University, Toronto, Canada
| | - J. SNIDER
- Institute for Neural Computation, University of California, San Diego, CA, United States
| | - D. SONG
- Department of Neurosciences, University of California, San Diego, CA, United States
| | - H. POIZNER
- Institute for Neural Computation, University of California, San Diego, CA, United States
- Graduate Program in Neurosciences, University of California, San Diego, CA, United States
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