An Algorithm for Rapid Calculation of a Probabilistic Functional Atlas of Subcortical Structures from Electrophysiological Data Collected during Functional Neurosurgery Procedures

Nowinski, Wiesław L.; Belov, Dmitry I.; Benabid, Alim Louis

doi:10.1006/nimg.2002.1299

Cited by 58 publications

(61 citation statements)

References 24 publications

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“…Due to the lack of contrast between the STN and surrounding structures on regular CT and T 1 -weighted MR images, information from these modalities is often complemented with T 2 -weighted MR images [7,8], printed [9][10][11] and digitized anatomical brain atlases [12][13][14][15], histological brain atlases [16,17], high resolution T 1 and T 2 maps [18,19], and functional atlases [20][21][22] and databases [23]. In addition, registered surgical targets from previous patients [24], as well as integration of multiple functional and anatomical references [25,26], may also be employed to facilitate STN DBS surgical targeting.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, functional atlases [20][21][22] and databases [23] containing standardized electrophysiological information from multiple patients, normalized into a reference brain template, have been developed to complement existing anatomical and histological atlases. Such electrophysiological information is important for characterizing the function of each deep-brain nucleus and adjacent structures, and for estimating the surgical targets.…”

Section: Introductionmentioning

confidence: 99%

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Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulation

Guo¹,

Parrent²,

Peters³

2007

Computer Aided Surgery

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A commonly adopted surgical target in deep brain stimulation (DBS) procedures, the subthalamic nucleus (STN) is located deep within the brain and is surrounded by delicate deep-brain structures. Symptoms of Parkinson's disease can be reduced by precisely implanting a multi-electrode stimulator at a specific location within the STN and delivering the appropriate signal to the target. A number of techniques have recently been proposed to facilitate STN DBS surgical targeting and thereby improve the surgical outcome. This paper presents a retrospective study evaluating the target localization accuracy and precision of six approaches in 55 STN DBS procedures. The targeting procedures were performed using a neurosurgical visualization and navigation system, which integrates normalized and standardized anatomical and functional information into the planning environment. In this study, we employed as the ''gold standard'' the actual surgical target locations determined by an experienced neurosurgeon using both pre-operative image-guided surgical target/trajectory planning and intra-operative electrophysiological exploration and confirmation. The surgical target locations determined using each of the six targeting methods were compared with the ''gold standards''. The average displacement between the actual surgical targets and those planned with targeting approaches was 3.0 AE 1.3 mm, 3.0 AE 1.3 mm, 3.0 AE 1.0 mm, 2.6 AE 1.1 mm, 2.5 AE 0.9 mm, and 1.7 AE 0.7 mm for approaches based on T 2 -weighted MRI, a brain atlas, T 1 and T 2 maps, an electrophysiological database, a collection of final surgical targets from previous patients, and the combination of these functional and anatomical data, respectively. The technique incorporating both anatomical and functional data provides the most reliable and accurate target position for STN DBS.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulation

Guo¹,

Parrent²,

Peters³

2007

Computer Aided Surgery

View full text Add to dashboard Cite

show abstract

“…Currently, these electrophysiological measurements, including microelectrode recording (MER) and electrical stimulation data, are acquired during the surgical procedures with multiple invasive exploratory trajectories, which may damage the brain tissue. To improve pre-operative surgical target planning accuracy, reduce the need for invasive intra-operative exploration, and decrease procedure-related complications, electrophysiological atlases [21][22][23] and databases [24] containing data from multiple patients have been developed. In general, these atlases and databases have been normalized to a standard brain template to provide additional standardized electrophysiological information prior to surgery.…”

Section: Introductionmentioning

confidence: 99%

“…The electrophysiological atlas proposed by D'Haese et al [22] classifies the intra-operative microelectrode recording signals according to their firing rate and parameters measuring phasic activities, and maps the color-coded values of these features to the atlas. These established techniques for electrophysiological mapping provide probabilistic maps of deep-brain electrophysiological activity and are valuable in establishing the relationship between brain functional organization and anatomic structures, and in estimating the surgical targets [21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Visualization and navigation system development and application for stereotactic deep-brain neurosurgeries

Guo

Finnis²,

Parrent

et al. 2006

Computer Aided Surgery

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We present the development of a visualization and navigation system and its application in pre-operative planning and intraoperative guidance of stereotactic deep-brain neurosurgical procedures for the treatment of Parkinson's disease, chronic pain, and essential tremor. This system incorporates a variety of standardized functional and anatomical information, and is capable of non-rigid registration, interactive manipulation, and processing of clinical image data. The integration of a digitized and segmented brain atlas, an electrophysiological database, and collections of final surgical targets from previous patients facilitates the delineation of surgical targets and surrounding structures, as well as functional borders. We conducted studies to compare the surgical target locations identified by an experienced stereotactic neurosurgeon using multiple electrophysiological exploratory trajectories with those located by a non-expert using this system on 70 thalamotomy, pallidotomy, thalamic deep-brain stimulation (DBS), and subthalamic nucleus (STN) DBS procedures. The average displacement between the surgical target locations in both groups was 1.95 + 0.86 mm, 1.83 + 1.07 mm, 1.88 + 0.89 mm and 1.61 + 0.67 mm for each category of surgeries, respectively, indicating the potential value of our system in stereotactic deep-brain neurosurgical procedures, and demonstrating its capability for accurate surgical target initiation.

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“…The most similar to the present study is [10] but it relied on the SW atlas, the contours of which are spatially inhomogeneous. In other methods there was no anatomical atlas but data acquisition through information learning [11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation

Bardinet

Dormont

Malandain

et al. 2005

Lecture Notes in Computer Science

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Abstract. In functional neurosurgery, there is a growing need for accurate localization of the functional targets. Since deep brain stimulation (DBS) of the Vim thalamic nucleus has been proposed for the treatment of Parkinson's disease, the target has evolved toward the globus pallidus and subthalamic nucleus (STN) and the therapeutic indications have enlarged to include psychiatric disorders such as Tourette syndrome or obsessive compulsive disorders. In these pathologies, the target has been restrained to smaller functional subterritories of the basal ganglia, requiring more refined techniques to localize smaller and smaller brain regions, often invisible in routine clinical MRI. Different strategies have been developed to identify such deep brain targets. Direct methods can identify structures in the MRI itself, but only the larger ones. Indirect methods are based on the use of anatomical atlases. The present strategy comprised a 3D histological atlas and the MRI of the same brain specimen, and deformation methodology developped to fit the atlas toward the brain of any given patient. In this paper, this method is evaluated in the aim of being applied to further studies of anatomo-clinical correlation. The accuracy of the method is first discussed, followed by the study of short series of Parkinsonian patients treated by DBS, allowing to compare the deformed atlas with various per-and post-operative data.

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An Algorithm for Rapid Calculation of a Probabilistic Functional Atlas of Subcortical Structures from Electrophysiological Data Collected during Functional Neurosurgery Procedures

Cited by 58 publications

References 24 publications

Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulation

Surgical targeting accuracy analysis of six methods for subthalamic nucleus deep brain stimulation

Visualization and navigation system development and application for stereotactic deep-brain neurosurgeries

Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation

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