Literature DB >> 30819549

Functional connectivity between prefrontal cortex and subgenual cingulate predicts antidepressant effects of ketamine.

Matti Gärtner1, Sabine Aust2, Malek Bajbouj2, Yan Fan2, Katja Wingenfeld2, Christian Otte2, Isabella Heuser-Collier2, Heinz Böker3, Josef Hättenschwiler4, Erich Seifritz3, Simone Grimm5, Milan Scheidegger3.   

Abstract

Converging evidence suggests that a single sub-anesthetic dose of ketamine can produce strong and rapid antidepressant effects in patients that do not respond to standard treatment. Despite a considerable amount of research investigating ketamine's mechanisms of action, the exact neuronal targets conveying the antidepressant effects have not been identified yet. Preclinical studies suggest that molecular changes induced by ketamine bring forward large-scale network reconfigurations that might relate to ketamine's antidepressant properties. In this prospective two-site study we measured resting state fMRI in 24 depressed patients prior to, and 24 h after a single sub-anesthetic dose of ketamine. We analyzed functional connectivity (FC) at baseline and after ketamine and focused our analysis on baseline FC and FC changes directly linked to symptom reduction in order to identify neuronal targets that predict individual clinical responses to ketamine. Our results show that FC increases after ketamine between right lateral prefrontal cortex (PFC) and subgenual anterior cingulate cortex (sgACC) are positively linked to treatment response. Furthermore, low baseline FC between these regions predicts treatment outcome. We conclude that PFC-sgACC connectivity may represent a promising biomarker with both predictive and explanatory power.
Copyright © 2019 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Ketamine; Major depression; fMRI

Mesh:

Substances:

Year:  2019        PMID: 30819549     DOI: 10.1016/j.euroneuro.2019.02.008

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  16 in total

1.  Resting state functional connectivity patterns as biomarkers of treatment response to escitalopram in patients with major depressive disorder.

Authors:  Marieke A G Martens; Nicola Filippini; Catherine J Harmer; Beata R Godlewska
Journal:  Psychopharmacology (Berl)       Date:  2021-09-03       Impact factor: 4.415

Review 2.  Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review.

Authors:  Ilya Demchenko; Vanessa K Tassone; Sidney H Kennedy; Katharine Dunlop; Venkat Bhat
Journal:  Front Psychiatry       Date:  2022-05-26       Impact factor: 5.435

3.  Acute effects of ketamine on the pregenual anterior cingulate: linking spontaneous activation, functional connectivity, and glutamate metabolism.

Authors:  Matti Gärtner; Anne Weigand; Milan Scheidegger; Mick Lehmann; Patrik O Wyss; Andreas Wunder; Anke Henning; Simone Grimm
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-01-12       Impact factor: 5.760

4.  Effects of Serial Ketamine Infusions on Corticolimbic Functional Connectivity in Major Depression.

Authors:  Megha M Vasavada; Joana Loureiro; Antoni Kubicki; Ashish Sahib; Benjamin Wade; Gerhard Hellemann; Randall T Espinoza; Eliza Congdon; Katherine L Narr; Amber M Leaver
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-07-03

Review 5.  Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model.

Authors:  Rebecca B Price; Ronald Duman
Journal:  Mol Psychiatry       Date:  2019-12-04       Impact factor: 15.992

6.  Functional Dysconnectivity of Frontal Cortex to Striatum Predicts Ketamine Infusion Response in Treatment-Resistant Depression.

Authors:  Mu-Hong Chen; Wan-Chen Chang; Wei-Chen Lin; Pei-Chi Tu; Cheng-Ta Li; Ya-Mei Bai; Shih-Jen Tsai; Wen-Sheng Huang; Tung-Ping Su
Journal:  Int J Neuropsychopharmacol       Date:  2020-12-29       Impact factor: 5.176

Review 7.  Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review.

Authors:  Joseph J Taylor; Hatice Guncu Kurt; Amit Anand
Journal:  Front Psychiatry       Date:  2021-03-26       Impact factor: 4.157

Review 8.  Biomarkers of ketamine's antidepressant effect: a clinical review of genetics, functional connectivity, and neurophysiology.

Authors:  Alexandra A Alario; Mark J Niciu
Journal:  Chronic Stress (Thousand Oaks)       Date:  2021-05-31

9.  Habenula Connectivity and Intravenous Ketamine in Treatment-Resistant Depression.

Authors:  Ana Maria Rivas-Grajales; Ramiro Salas; Meghan E Robinson; Karen Qi; James W Murrough; Sanjay J Mathew
Journal:  Int J Neuropsychopharmacol       Date:  2021-05-18       Impact factor: 5.176

10.  Adjunct ketamine treatment of depression in treatment-resistant schizophrenia patients is unsatisfactory in pilot and secondary follow-up studies.

Authors:  Chuanjun Zhuo; Xiaodong Lin; Hongjun Tian; Sha Liu; Haiman Bian; Ce Chen
Journal:  Brain Behav       Date:  2020-03-15       Impact factor: 2.708

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