Literature DB >> 23142067

Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity.

Michael D Fox1, Hesheng Liu2, Alvaro Pascual-Leone3.   

Abstract

Transcranial magnetic stimulation (TMS) to the left dorsolateral prefrontal cortex (DLPFC) is used clinically for the treatment of depression however outcomes vary greatly between patients. We have shown that average clinical efficacy of different left DLPFC TMS sites is related to intrinsic functional connectivity with remote regions including the subgenual cingulate and suggested that functional connectivity with these remote regions might be used to identify optimized left DLPFC targets for TMS. However it remains unclear if and how this connectivity-based targeting approach should be applied at the single-subject level to potentially individualize therapy to specific patients. In this article we show that individual differences in DLPFC connectivity are large, reproducible across sessions, and can be used to generate individualized DLPFC TMS targets that may prove clinically superior to those selected on the basis of group-average connectivity. Factors likely to improve individualized targeting including the use of seed maps and the focality of stimulation are investigated and discussed. The techniques presented here may be applicable to individualized targeting of focal brain stimulation across a range of diseases and stimulation modalities and can be experimentally tested in clinical trials.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Dorsolateral prefrontal cortex; Individual differences; Intrinsic connectivity; MRI; Resting state functional connectivity; Seed map; Subgenual; TMS; Transcranial magnetic stimulation; Variability

Mesh:

Year:  2012        PMID: 23142067      PMCID: PMC3594474          DOI: 10.1016/j.neuroimage.2012.10.082

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  61 in total

1.  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

2.  Individual variability in functional connectivity predicts performance of a perceptual task.

Authors:  Antonello Baldassarre; Christopher M Lewis; Giorgia Committeri; Abraham Z Snyder; Gian Luca Romani; Maurizio Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-06       Impact factor: 11.205

3.  Impact of repetitive transcranial magnetic stimulation of the parietal cortex on metabolic brain activity: a 14C-2DG tracing study in the cat.

Authors:  Antoni Valero-Cabré; Bertram R Payne; Jarrett Rushmore; Stephen G Lomber; Alvaro Pascual-Leone
Journal:  Exp Brain Res       Date:  2005-02-02       Impact factor: 1.972

Review 4.  Transcranial magnetic stimulation: a primer.

Authors:  Mark Hallett
Journal:  Neuron       Date:  2007-07-19       Impact factor: 17.173

Review 5.  Repetitive transcranial magnetic stimulation of the prefrontal cortex in depression.

Authors:  Frank Padberg; Mark S George
Journal:  Exp Neurol       Date:  2009-05-04       Impact factor: 5.330

6.  Defining functional areas in individual human brains using resting functional connectivity MRI.

Authors:  Alexander L Cohen; Damien A Fair; Nico U F Dosenbach; Francis M Miezin; Donna Dierker; David C Van Essen; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2008-03-25       Impact factor: 6.556

7.  Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures.

Authors:  Urs Braun; Michael M Plichta; Christine Esslinger; Carina Sauer; Leila Haddad; Oliver Grimm; Daniela Mier; Sebastian Mohnke; Andreas Heinz; Susanne Erk; Henrik Walter; Nina Seiferth; Peter Kirsch; Andreas Meyer-Lindenberg
Journal:  Neuroimage       Date:  2011-08-23       Impact factor: 6.556

Review 8.  Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS).

Authors:  Michael D Fox; Mark A Halko; Mark C Eldaief; Alvaro Pascual-Leone
Journal:  Neuroimage       Date:  2012-03-19       Impact factor: 6.556

9.  Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate.

Authors:  Michael D Fox; Randy L Buckner; Matthew P White; Michael D Greicius; Alvaro Pascual-Leone
Journal:  Biol Psychiatry       Date:  2012-06-01       Impact factor: 13.382

Review 10.  The subgenual anterior cingulate cortex in mood disorders.

Authors:  Wayne C Drevets; Jonathan Savitz; Michael Trimble
Journal:  CNS Spectr       Date:  2008-08       Impact factor: 3.790

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  109 in total

Review 1.  [Experimental and therapeutic neuromodulation of emotion and social cognition with non-invasive brain stimulation].

Authors:  C Mielacher; D Scheele; R Hurlemann
Journal:  Nervenarzt       Date:  2015-12       Impact factor: 1.214

2.  Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability.

Authors:  Georg Langs; Danhong Wang; Polina Golland; Sophia Mueller; Ruiqi Pan; Mert R Sabuncu; Wei Sun; Kuncheng Li; Hesheng Liu
Journal:  Cereb Cortex       Date:  2015-09-01       Impact factor: 5.357

3.  Resting-state neural signatures of depressive symptoms in acute HIV.

Authors:  Carissa L Philippi; Leah Reyna; Laura Nedderman; Phillip Chan; Vishal Samboju; Kevin Chang; Nittaya Phanuphak; Nisakorn Ratnaratorn; Joanna Hellmuth; Khunthalee Benjapornpong; Netsiri Dumrongpisutikul; Mantana Pothisri; Merlin L Robb; Jintanat Ananworanich; Serena Spudich; Victor Valcour; Robert Paul
Journal:  J Neurovirol       Date:  2020-01-27       Impact factor: 2.643

4.  Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability.

Authors:  Idan A Blank; Swathi Kiran; Evelina Fedorenko
Journal:  Cogn Neuropsychol       Date:  2017-11-30       Impact factor: 2.468

5.  Detecting stable individual differences in the functional organization of the human basal ganglia.

Authors:  Manuel Garcia-Garcia; Aki Nikolaidis; Pierre Bellec; R Cameron Craddock; Brian Cheung; Francisco X Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2017-07-21       Impact factor: 6.556

6.  Combined Transcranial Magnetic Stimulation and Electroencephalography of the Dorsolateral Prefrontal Cortex.

Authors:  Pantelis Lioumis; Reza Zomorrodi; Itay Hadas; Zafiris J Daskalakis; Daniel M Blumberger
Journal:  J Vis Exp       Date:  2018-08-17       Impact factor: 1.355

7.  Network-Guided Transcranial Magnetic Stimulation for Depression.

Authors:  Marc J Dubin; Conor Liston; Michael A Avissar; Irena Ilieva; Faith M Gunning
Journal:  Curr Behav Neurosci Rep       Date:  2017-02-07

8.  Modulation of motor cortex excitability predicts antidepressant response to prefrontal cortex repetitive transcranial magnetic stimulation.

Authors:  Albino J Oliveira-Maia; Daniel Press; Alvaro Pascual-Leone
Journal:  Brain Stimul       Date:  2017-03-31       Impact factor: 8.955

9.  The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism.

Authors:  Vinod Menon
Journal:  Biol Psychiatry       Date:  2018-08-15       Impact factor: 13.382

10.  Repetitive transcranial magnetic stimulation for post-stroke depression: a randomised trial with neurophysiological insight.

Authors:  Brenton Hordacre; Kristina Comacchio; Lindy Williams; Susan Hillier
Journal:  J Neurol       Date:  2020-11-20       Impact factor: 4.849

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