Literature DB >> 27739406

Comparative study of microelectrode recording-based STN location and MRI-based STN location in low to ultra-high field (7.0 T) T2-weighted MRI images.

Rens Verhagen1, P Richard Schuurman, Pepijn van den Munckhof, M Fiorella Contarino, Rob M A de Bie, Lo J Bour.   

Abstract

OBJECTIVE: The correspondence between the anatomical STN and the STN observed in T2-weighted MRI images used for deep brain stimulation (DBS) targeting remains unclear. Using a new method, we compared the STN borders seen on MRI images with those estimated by intraoperative microelectrode recordings (MER). APPROACH: We developed a method to automatically generate a detailed estimation of STN shape and the location of its borders, based on multiple-channel MER measurements. In 33 STNs of 19 Parkinson patients, we quantitatively compared the dorsal and lateral borders of this MER-based STN model with the STN borders visualized by 1.5 T (n = 14), 3.0 T (n = 10) and 7.0 T (n = 9) T2-weighted MRI. MAIN
RESULTS: The dorsal border was identified more dorsally on coronal T2 MRI than by the MER-based STN model, with a significant difference in the 3.0 T (range 0.97-1.19 mm) and 7.0 T (range 1.23-1.25 mm) groups. The lateral border was significantly more medial on 1.5 T (mean: 1.97 mm) and 3.0 T (mean: 2.49 mm) MRI than in the MER-based STN; a difference that was not found in the 7.0 T group. SIGNIFICANCE: The STN extends further in the dorsal direction on coronal T2 MRI images than is measured by MER. Increasing MRI field strength to 3.0 T or 7.0 T yields similar discrepancies between MER and MRI at the dorsal STN border. In contrast, increasing MRI field strength to 7.0 T may be useful for identification of the lateral STN border and thereby improve DBS targeting.

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Mesh:

Year:  2016        PMID: 27739406     DOI: 10.1088/1741-2560/13/6/066009

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  3 in total

Review 1.  Neuroimaging Technological Advancements for Targeting in Functional Neurosurgery.

Authors:  Alexandre Boutet; Robert Gramer; Christopher J Steele; Gavin J B Elias; Jürgen Germann; Ricardo Maciel; Walter Kucharczyk; Ludvic Zrinzo; Andres M Lozano; Alfonso Fasano
Journal:  Curr Neurol Neurosci Rep       Date:  2019-05-30       Impact factor: 5.081

2.  Defining the Dorsal STN Border Using 7.0-T MRI: A Comparison to Microelectrode Recordings and Lower Field Strength MRI.

Authors:  Maarten Bot; Okker Verhagen; Matthan Caan; Wouter V Potters; Y Dilai; Vincent J J Odekerken; Joke M Dijk; Rob M A de Bie; P Richard Schuurman; Pepijn van den Munckhof
Journal:  Stereotact Funct Neurosurg       Date:  2019-08-20       Impact factor: 1.875

3.  Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI.

Authors:  Yuval Duchin; Reuben R Shamir; Remi Patriat; Jinyoung Kim; Jerrold L Vitek; Guillermo Sapiro; Noam Harel
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

  3 in total

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