Literature DB >> 24514569

Different patterns of local field potentials from limbic DBS targets in patients with major depressive and obsessive compulsive disorder.

W-J Neumann1, J Huebl1, C Brücke1, L Gabriëls2, M Bajbouj3, A Merkl4, G-H Schneider5, B Nuttin6, P Brown7, A A Kühn8.   

Abstract

The role of distinct limbic areas in emotion regulation has been largely inferred from neuroimaging studies. Recently, the opportunity for intracranial recordings from limbic areas has arisen in patients undergoing deep brain stimulation (DBS) for neuropsychiatric disorders including major depressive disorder (MDD) and obsessive compulsive disorder (OCD). Here we test the hypothesis that distinct temporal patterns of local field potential (LFP) activity in the human limbic system reflect disease state and symptom severity in MDD and OCD patients. To this end, we recorded LFPs via implanted DBS electrodes from the bed nucleus of stria terminalis (BNST area) in 12 patients (5 OCD, 7 MDD) and from the subgenual cingulate cortex in 7 MDD patients (CG25 area). We found a distinct pattern of oscillatory activity with significantly higher α-power in MDD compared with OCD in the BNST area (broad α-band 8-14 Hz; P<0.01) and a similar level of α-activity in the CG25 area as in the BNST area in MDD patients. The mean α-power correlated with severity of depressive symptoms as assessed by the Beck depression inventory in MDD (n=14, r=0.55, P=0.042) but not with severity of obsessive compulsive symptoms in OCD. Here we show larger α-band activity in MDD patients compared with OCD recorded from intracranial DBS targets. Our results suggest that α-activity in the limbic system may be a signature of symptom severity in MDD and may serve as a potential state biomarker for closed loop DBS in MDD.

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Year:  2014        PMID: 24514569      PMCID: PMC4813757          DOI: 10.1038/mp.2014.2

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  66 in total

1.  Activation of the subthalamic region during emotional processing in Parkinson disease.

Authors:  A A Kühn; M I Hariz; P Silberstein; S Tisch; A Kupsch; G-H Schneider; P Limousin-Dowsey; K Yarrow; P Brown
Journal:  Neurology       Date:  2005-09-13       Impact factor: 9.910

Review 2.  Deep brain stimulation for neurologic and neuropsychiatric disorders.

Authors:  Thomas Wichmann; Mahlon R Delong
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

3.  Reduction in subthalamic 8-35 Hz oscillatory activity correlates with clinical improvement in Parkinson's disease.

Authors:  Andrea A Kühn; Andreas Kupsch; Gerd-Helge Schneider; Peter Brown
Journal:  Eur J Neurosci       Date:  2006-04       Impact factor: 3.386

4.  Some quantitative EEG findings in unmedicated and medicated major depressives.

Authors:  C Shagass; R A Roemer; R C Josiassen
Journal:  Neuropsychobiology       Date:  1988       Impact factor: 2.328

Review 5.  Deep brain stimulation of the nucleus accumbens for the treatment of addiction.

Authors:  Ulf J Müller; Jürgen Voges; Johann Steiner; Imke Galazky; Hans-Jochen Heinze; Michaela Möller; Jared Pisapia; Casey Halpern; Arthur Caplan; Bernhard Bogerts; Jens Kuhn
Journal:  Ann N Y Acad Sci       Date:  2012-12-10       Impact factor: 5.691

Review 6.  Deep-brain stimulation for anorexia nervosa.

Authors:  Hemmings Wu; Pieter Jan Van Dyck-Lippens; Remco Santegoeds; Kris van Kuyck; Loes Gabriëls; Guozhen Lin; Guihua Pan; Yongchao Li; Dianyou Li; Shikun Zhan; Bomin Sun; Bart Nuttin
Journal:  World Neurosurg       Date:  2012-06-25       Impact factor: 2.104

7.  Disorder specificity despite comorbidity: resting EEG alpha asymmetry in major depressive disorder and post-traumatic stress disorder.

Authors:  A H Kemp; K Griffiths; K L Felmingham; S A Shankman; W Drinkenburg; M Arns; C R Clark; R A Bryant
Journal:  Biol Psychol       Date:  2010-08-11       Impact factor: 3.251

8.  Patterning of globus pallidus local field potentials differs between Parkinson's disease and dystonia.

Authors:  Paul Silberstein; Andrea A Kühn; Andreas Kupsch; Thomas Trottenberg; Joachim K Krauss; Johannes C Wöhrle; Paolo Mazzone; Angelo Insola; Vincenzo Di Lazzaro; Antonio Oliviero; Tipu Aziz; Peter Brown
Journal:  Brain       Date:  2003-08-22       Impact factor: 13.501

9.  Preliminary study in patients with obsessive-compulsive disorder treated with electrical stimulation in the inferior thalamic peduncle.

Authors:  Fiacro Jiménez-Ponce; Francisco Velasco-Campos; Guillermo Castro-Farfán; Humberto Nicolini; Ana Luisa Velasco; Rafael Salín-Pascual; David Trejo; José Luis Criales
Journal:  Neurosurgery       Date:  2009-12       Impact factor: 4.654

Review 10.  Network perspectives on the mechanisms of deep brain stimulation.

Authors:  Cameron C McIntyre; Philip J Hahn
Journal:  Neurobiol Dis       Date:  2009-10-03       Impact factor: 5.996

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  37 in total

1.  Field potential 1/f activity in the subcallosal cingulate region as a candidate signal for monitoring deep brain stimulation for treatment-resistant depression.

Authors:  Ashan Veerakumar; Vineet Tiruvadi; Bryan Howell; Allison C Waters; Andrea L Crowell; Bradley Voytek; Patricio Riva-Posse; Lydia Denison; Justin K Rajendra; Johnathan A Edwards; Kelly R Bijanki; Ki Sueng Choi; Helen S Mayberg
Journal:  J Neurophysiol       Date:  2019-07-17       Impact factor: 2.714

2.  Mood variations decoded from multi-site intracranial human brain activity.

Authors:  Omid G Sani; Yuxiao Yang; Morgan B Lee; Heather E Dawes; Edward F Chang; Maryam M Shanechi
Journal:  Nat Biotechnol       Date:  2018-09-10       Impact factor: 54.908

3.  A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics.

Authors:  Juan P Ramirez-Mahaluf; Alexander Roxin; Helen S Mayberg; Albert Compte
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

4.  Processing of emotional stimuli is reflected by modulations of beta band activity in the subgenual anterior cingulate cortex in patients with treatment resistant depression.

Authors:  Julius Huebl; Christof Brücke; Angela Merkl; Malek Bajbouj; Gerd-Helge Schneider; Andrea A Kühn
Journal:  Soc Cogn Affect Neurosci       Date:  2016-03-24       Impact factor: 3.436

Review 5.  Multimodal approaches to define network oscillations in depression.

Authors:  Otis Lkuwamy Smart; Vineet Ravi Tiruvadi; Helen S Mayberg
Journal:  Biol Psychiatry       Date:  2015-01-28       Impact factor: 13.382

6.  Multi-disease Deep Brain Stimulation.

Authors:  Mahboubeh Parastarfeizabadi; Roy V Sillitoe; Abbas Z Kouzani
Journal:  IEEE Access       Date:  2020-12-02       Impact factor: 3.367

Review 7.  Neuroelectronics and Biooptics: Closed-Loop Technologies in Neurological Disorders.

Authors:  Esther Krook-Magnuson; Jennifer N Gelinas; Ivan Soltesz; György Buzsáki
Journal:  JAMA Neurol       Date:  2015-07       Impact factor: 18.302

Review 8.  Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders.

Authors:  Andrea A Kühn; R Mark Richardson; Wolf-Julian Neumann; Robert S Turner; Benjamin Blankertz; Tom Mitchell
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

Review 9.  Deep brain stimulation for treatment-resistant depression: an integrative review of preclinical and clinical findings and translational implications.

Authors:  M P Dandekar; A J Fenoy; A F Carvalho; J C Soares; J Quevedo
Journal:  Mol Psychiatry       Date:  2018-02-27       Impact factor: 15.992

10.  A Miniature Dual-Biomarker-Based Sensing and Conditioning Device for Closed-Loop DBS.

Authors:  Mahboubeh Parastarfeizabadi; Abbas Z Kouzani
Journal:  IEEE J Transl Eng Health Med       Date:  2019-08-30       Impact factor: 3.316

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