Literature DB >> 29560882

The Clinical Applicability of Functional Connectivity in Depression: Pathways Toward More Targeted Intervention.

Adina S Fischer1, Corey J Keller1, Amit Etkin2.   

Abstract

Resting-state functional magnetic resonance imaging provides a noninvasive method to rapidly map large-scale brain networks affected in depression and other psychiatric disorders. Dysfunctional connectivity in large-scale brain networks has been consistently implicated in major depressive disorder (MDD). Although advances have been made in identifying neural circuitry implicated in MDD, this information has yet to be translated into improved diagnostic or treatment interventions. In the first section of this review, we discuss dysfunctional connectivity in affective salience, cognitive control, and default mode networks observed in MDD in association with characteristic symptoms of the disorder. In the second section, we address neurostimulation focusing on transcranial magnetic stimulation and evidence that this approach may directly modulate circuit abnormalities. Finally, we discuss possible avenues of future research to develop more precise diagnoses and targeted interventions within the heterogeneous diagnostic category of MDD as well as the methodological limitations to clinical implementation. We conclude by proposing, with cautious optimism, the future incorporation of neuroimaging into clinical practice as a tool to aid in more targeted diagnosis and treatment guided by circuit-level connectivity dysfunction in patients with depression.
Copyright © 2016 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Affective salience network; Cognitive control network; Default mode network; Functional connectivity; Major depressive disorder; Transcranial magnetic stimulation

Year:  2016        PMID: 29560882     DOI: 10.1016/j.bpsc.2016.02.004

Source DB:  PubMed          Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging        ISSN: 2451-9022


  19 in total

1.  Developmental changes in resting-state functional networks among individuals with and without internalizing psychopathologies.

Authors:  Katie L Burkhouse; Jonathan P Stange; Rachel H Jacobs; Runa Bhaumik; Katie L Bessette; Amy T Peters; Natania A Crane; Kayla A Kreutzer; Kate Fitzgerald; Christopher S Monk; Robert C Welsh; K Luan Phan; Scott A Langenecker
Journal:  Depress Anxiety       Date:  2018-12-05       Impact factor: 6.505

2.  Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles.

Authors:  Jonathan P Stange; Katie L Bessette; Lisanne M Jenkins; Amy T Peters; Claudia Feldhaus; Natania A Crane; Olusola Ajilore; Rachel H Jacobs; Edward R Watkins; Scott A Langenecker
Journal:  Hum Brain Mapp       Date:  2017-03-27       Impact factor: 5.038

3.  Using resting-state intrinsic network connectivity to identify suicide risk in mood disorders.

Authors:  Jonathan P Stange; Lisanne M Jenkins; Stephanie Pocius; Kayla Kreutzer; Katie L Bessette; Sophie R DelDonno; Leah R Kling; Runa Bhaumik; Robert C Welsh; John G Keilp; K Luan Phan; Scott A Langenecker
Journal:  Psychol Med       Date:  2019-10-10       Impact factor: 7.723

4.  A multivariate neuroimaging biomarker of individual outcome to transcranial magnetic stimulation in depression.

Authors:  Robin F H Cash; Luca Cocchi; Rodney Anderson; Anton Rogachov; Aaron Kucyi; Alexander J Barnett; Andrew Zalesky; Paul B Fitzgerald
Journal:  Hum Brain Mapp       Date:  2019-07-22       Impact factor: 5.038

5.  Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder.

Authors:  Juliana Corlier; Andrew Wilson; Aimee M Hunter; Nikita Vince-Cruz; David Krantz; Jennifer Levitt; Michael J Minzenberg; Nathaniel Ginder; Ian A Cook; Andrew F Leuchter
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

6.  EEG microstate temporal Dynamics Predict depressive symptoms in College Students.

Authors:  Xiaorong Qin; Jingyi Xiong; Ruifang Cui; Guimin Zou; Changquan Long; Xu Lei
Journal:  Brain Topogr       Date:  2022-07-05       Impact factor: 4.275

7.  The pro-inflammatory factors contribute to the EEG microstate abnormalities in patients with major depressive disorder.

Authors:  Ya-Nan Zhao; Jia-Kai He; Yu Wang; Shao-Yuan Li; Bao-Hui Jia; Shuai Zhang; Chun-Lei Guo; Jin-Ling Zhang; Guo-Lei Zhang; Bin Hu; Ji-Liang Fang; Pei-Jing Rong
Journal:  Brain Behav Immun Health       Date:  2022-10-04

8.  Abnormal intrinsic cerebro-cerebellar functional connectivity in un-medicated patients with bipolar disorder and major depressive disorder.

Authors:  Yuan He; Ying Wang; Ting-Ting Chang; Yanbin Jia; Junjing Wang; Shuming Zhong; Huiyuan Huang; Yao Sun; Feng Deng; Xiaoyan Wu; Chen Niu; Li Huang; Guolin Ma; Ruiwang Huang
Journal:  Psychopharmacology (Berl)       Date:  2018-09-11       Impact factor: 4.530

9.  Whole-Brain Functional Dynamics Track Depressive Symptom Severity.

Authors:  Zachary T Goodman; Sierra A Bainter; Salome Kornfeld; Catie Chang; Jason S Nomi; Lucina Q Uddin
Journal:  Cereb Cortex       Date:  2021-10-01       Impact factor: 5.357

10.  Intrinsic Connectivity and Family Dynamics: Striatolimbic Markers of Risk and Resilience in Youth at Familial Risk for Mood Disorders.

Authors:  Adina S Fischer; Bailey Holt-Gosselin; Kelsey E Hagan; Scott L Fleming; Akua F Nimarko; Ian H Gotlib; Manpreet K Singh
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2022-03-08
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