Literature DB >> 28142056

Using probabilistic tractography to target the subcallosal cingulate cortex in patients with treatment resistant depression.

Evangelia Tsolaki1, Randall Espinoza2, Nader Pouratian3.   

Abstract

The lack of efficacy of deep brain stimulation (DBS) of subcallosal cingulate (SCC) in treatment resistant depression (TRD) may be due in part to suboptimal targeting. In two patients treated with SCC DBS for TRD we assessed the voxel-wise probabilistic connectivity of SCC with four tractography-defined target areas implicated in depression, thereby identifying the tractography-optimized target (TOT). Compared to the non-responder, the responder's DBS leads were implanted and stimulation was delivered closer to the TOT. This automated patient-specific data-driven approach provides tomographic maps that could guide DBS targeting and programming with possible implications for improving response to DBS.
Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Deep brain stimulation; Depression; Probabilistic tractography

Mesh:

Year:  2017        PMID: 28142056      PMCID: PMC5552295          DOI: 10.1016/j.pscychresns.2017.01.006

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  18 in total

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Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  Probabilistic versus deterministic tractography for delineation of the cortico-subthalamic hyperdirect pathway in patients with Parkinson disease selected for deep brain stimulation.

Authors:  Mikkel V Petersen; Torben E Lund; Niels Sunde; Jesper Frandsen; Frederikke Rosendal; Niels Juul; Karen Østergaard
Journal:  J Neurosurg       Date:  2016-07-08       Impact factor: 5.115

4.  Deep brain stimulation for treatment-resistant depression.

Authors:  Helen S Mayberg; Andres M Lozano; Valerie Voon; Heather E McNeely; David Seminowicz; Clement Hamani; Jason M Schwalb; Sidney H Kennedy
Journal:  Neuron       Date:  2005-03-03       Impact factor: 17.173

5.  Assessment of a method to determine deep brain stimulation targets using deterministic tractography in a navigation system.

Authors:  Josué M Avecillas-Chasin; Fernando Alonso-Frech; Olga Parras; Nayade Del Prado; Juan A Barcia
Journal:  Neurosurg Rev       Date:  2015-05-12       Impact factor: 3.042

Review 6.  Deep brain stimulation for treatment-resistant depression: systematic review of clinical outcomes.

Authors:  Takashi Morishita; Sarah M Fayad; Masa-aki Higuchi; Kelsey A Nestor; Kelly D Foote
Journal:  Neurotherapeutics       Date:  2014-07       Impact factor: 7.620

7.  Defining critical white matter pathways mediating successful subcallosal cingulate deep brain stimulation for treatment-resistant depression.

Authors:  Patricio Riva-Posse; Ki Sueng Choi; Paul E Holtzheimer; Cameron C McIntyre; Robert E Gross; Ashutosh Chaturvedi; Andrea L Crowell; Steven J Garlow; Justin K Rajendra; Helen S Mayberg
Journal:  Biol Psychiatry       Date:  2014-04-13       Impact factor: 13.382

8.  Validation of tractography: Comparison with manganese tracing.

Authors:  Thomas R Knösche; Alfred Anwander; Matthew Liptrot; Tim B Dyrby
Journal:  Hum Brain Mapp       Date:  2015-07-14       Impact factor: 5.038

9.  A tractography analysis of two deep brain stimulation white matter targets for depression.

Authors:  David A Gutman; Paul E Holtzheimer; Timothy E J Behrens; Heidi Johansen-Berg; Helen S Mayberg
Journal:  Biol Psychiatry       Date:  2008-11-14       Impact factor: 13.382

10.  Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?

Authors:  T E J Behrens; H Johansen Berg; S Jbabdi; M F S Rushworth; M W Woolrich
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4.  Deep Brain Stimulation for Depression Informed by Intracranial Recordings.

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Review 5.  Improving Surgical Outcome Using Diffusion Tensor Imaging Techniques in Deep Brain Stimulation.

Authors:  Angela An Qi See; Nicolas Kon Kam King
Journal:  Front Surg       Date:  2017-09-28

6.  A novel concurrent TMS-fMRI method to reveal propagation patterns of prefrontal magnetic brain stimulation.

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Review 7.  Deep Brain Stimulation Initiative: Toward Innovative Technology, New Disease Indications, and Approaches to Current and Future Clinical Challenges in Neuromodulation Therapy.

Authors:  Yanan Sui; Ye Tian; Wai Kin Daniel Ko; Zhiyan Wang; Fumin Jia; Andreas Horn; Dirk De Ridder; Ki Sueng Choi; Ausaf A Bari; Shouyan Wang; Clement Hamani; Kenneth B Baker; Andre G Machado; Tipu Z Aziz; Erich Talamoni Fonoff; Andrea A Kühn; Hagai Bergman; Terence Sanger; Hesheng Liu; Suzanne N Haber; Luming Li
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8.  Recruitment Challenges for Studies of Deep Brain Stimulation for Treatment-Resistant Depression.

Authors:  Rajamannar Ramasubbu; Sandra Golding; Kimberly Williams; Aaron Mackie; Glenda MacQueen; Zelma H T Kiss
Journal:  Neuropsychiatr Dis Treat       Date:  2021-03-10       Impact factor: 2.570

9.  Variability of white matter anatomy in the subcallosal cingulate area.

Authors:  Evangelia Tsolaki; Sameer A Sheth; Nader Pouratian
Journal:  Hum Brain Mapp       Date:  2021-01-23       Impact factor: 5.038

Review 10.  Subcallosal Cingulate Cortex Deep Brain Stimulation for Treatment-Resistant Depression: A Systematic Review.

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  10 in total

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