Literature DB >> 25267639

Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.

Michael D Fox1, Randy L Buckner2, Hesheng Liu3, M Mallar Chakravarty4, Andres M Lozano5, Alvaro Pascual-Leone6.   

Abstract

Brain stimulation, a therapy increasingly used for neurological and psychiatric disease, traditionally is divided into invasive approaches, such as deep brain stimulation (DBS), and noninvasive approaches, such as transcranial magnetic stimulation. The relationship between these approaches is unknown, therapeutic mechanisms remain unclear, and the ideal stimulation site for a given technique is often ambiguous, limiting optimization of the stimulation and its application in further disorders. In this article, we identify diseases treated with both types of stimulation, list the stimulation sites thought to be most effective in each disease, and test the hypothesis that these sites are different nodes within the same brain network as defined by resting-state functional-connectivity MRI. Sites where DBS was effective were functionally connected to sites where noninvasive brain stimulation was effective across diseases including depression, Parkinson's disease, obsessive-compulsive disorder, essential tremor, addiction, pain, minimally conscious states, and Alzheimer's disease. A lack of functional connectivity identified sites where stimulation was ineffective, and the sign of the correlation related to whether excitatory or inhibitory noninvasive stimulation was found clinically effective. These results suggest that resting-state functional connectivity may be useful for translating therapy between stimulation modalities, optimizing treatment, and identifying new stimulation targets. More broadly, this work supports a network perspective toward understanding and treating neuropsychiatric disease, highlighting the therapeutic potential of targeted brain network modulation.

Entities:  

Keywords:  TMS; clinical application; human connectome project; neurosurgery; tDCS

Mesh:

Year:  2014        PMID: 25267639      PMCID: PMC4205651          DOI: 10.1073/pnas.1405003111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  198 in total

1.  Behavioral and neurophysiological effects of repetitive transcranial magnetic stimulation on the minimally conscious state: a case study.

Authors:  Francesco Piccione; Marianna Cavinato; Paolo Manganotti; Emanuela Formaggio; Silvia Francesca Storti; Leontino Battistin; Annachiara Cagnin; Paolo Tonin; Mauro Dam
Journal:  Neurorehabil Neural Repair       Date:  2010-07-20       Impact factor: 3.919

2.  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 3.  Deep brain stimulation for the treatment of addiction: basic and clinical studies and potential mechanisms of action.

Authors:  R Christopher Pierce; Fair M Vassoler
Journal:  Psychopharmacology (Berl)       Date:  2013-08-02       Impact factor: 4.530

4.  Dynamic multi-channel TMS with reconfigurable coil.

Authors:  Ruoli Jiang; Ben H Jansen; Bhavin R Sheth; Ji Chen
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-11-15       Impact factor: 3.802

Review 5.  The Parkinson Progression Marker Initiative (PPMI).

Authors: 
Journal:  Prog Neurobiol       Date:  2011-09-14       Impact factor: 10.885

6.  Deep brain stimulation in DYT1 dystonia: a 10-year experience.

Authors:  Fedor Panov; Yakov Gologorsky; Grayson Connors; Michele Tagliati; Joan Miravite; Ron L Alterman
Journal:  Neurosurgery       Date:  2013-07       Impact factor: 4.654

Review 7.  Repetitive transcranial magnetic stimulation (rTMS) for obsessive-compulsive disorder (OCD): an exploratory meta-analysis of randomized and sham-controlled trials.

Authors:  Marcelo T Berlim; Nicholas H Neufeld; Frederique Van den Eynde
Journal:  J Psychiatr Res       Date:  2013-04-21       Impact factor: 4.791

8.  Limbic-frontal circuitry in major depression: a path modeling metanalysis.

Authors:  D A Seminowicz; H S Mayberg; A R McIntosh; K Goldapple; S Kennedy; Z Segal; S Rafi-Tari
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

9.  Default mode network mechanisms of transcranial magnetic stimulation in depression.

Authors:  Conor Liston; Ashley C Chen; Benjamin D Zebley; Andrew T Drysdale; Rebecca Gordon; Bruce Leuchter; Henning U Voss; B J Casey; Amit Etkin; Marc J Dubin
Journal:  Biol Psychiatry       Date:  2014-02-05       Impact factor: 13.382

10.  Is Granger causality a viable technique for analyzing fMRI data?

Authors:  Xiaotong Wen; Govindan Rangarajan; Mingzhou Ding
Journal:  PLoS One       Date:  2013-07-04       Impact factor: 3.240

View more
  173 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

Review 2.  Core Concept: Resting-state connectivity.

Authors:  Helen H Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-17       Impact factor: 11.205

3.  Finding the imposter: brain connectivity of lesions causing delusional misidentifications.

Authors:  R Ryan Darby; Simon Laganiere; Alvaro Pascual-Leone; Sashank Prasad; Michael D Fox
Journal:  Brain       Date:  2017-01-12       Impact factor: 13.501

4.  Functional connectivity disturbances of the ascending reticular activating system in temporal lobe epilepsy.

Authors:  Dario J Englot; Pierre-Francois D'Haese; Peter E Konrad; Monica L Jacobs; John C Gore; Bassel W Abou-Khalil; Victoria L Morgan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2017-06-19       Impact factor: 10.154

5.  Lesion network localization of free will.

Authors:  R Ryan Darby; Juho Joutsa; Matthew J Burke; Michael D Fox
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-01       Impact factor: 11.205

6.  Disrupted interactions among the hippocampal, dorsal attention, and central-executive networks in amnestic mild cognitive impairment.

Authors:  Ganesh B Chand; Ihab Hajjar; Deqiang Qiu
Journal:  Hum Brain Mapp       Date:  2018-09-11       Impact factor: 5.038

7.  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

8.  Tracking mood fluctuations with functional network patterns.

Authors:  Nykan Mirchi; Richard F Betzel; Boris C Bernhardt; Alain Dagher; Bratislav Mišic
Journal:  Soc Cogn Affect Neurosci       Date:  2019-01-04       Impact factor: 3.436

9.  Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance.

Authors:  Bryan S Baxter; Bradley J Edelman; Nicholas Nesbitt; Bin He
Journal:  Brain Stimul       Date:  2016-07-15       Impact factor: 8.955

10.  Resting state morphology predicts the effect of theta burst stimulation in false belief reasoning.

Authors:  Charlotte E Hartwright; Robert M Hardwick; Ian A Apperly; Peter C Hansen
Journal:  Hum Brain Mapp       Date:  2016-05-16       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.