Functional connectivity of the hippocampus in predicting early antidepressant efficacy in patients with major depressive disorder

Xiao, Hongqi; Yuan, Minlan; Li, Hailong; Li, Shiyi; Du, Yang; Wang, Mei; Zhu, Hongru; Zhang, Wei; Qiu, Changjian; Huang, Xiaoqi

doi:10.1016/j.jad.2021.05.013

Cited by 18 publications

(15 citation statements)

References 67 publications

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“…A study focused on reward circuitry reported a normalizing (compared to healthy controls) decrease of FC between the right striatum and left superior frontal gyrus, right caudate nucleus and left precuneus, and right superior ventral striatum (VS) and left inferior parietal lobe, as well as a normalizing increase of FC between the right inferior VS and left cerebellum after treatment, regardless of treatment outcome ( Wang, 2019 ). Finally, one study focused solely on hippocampal connectivity reported FC between the left hippocampus and left inferior frontal gyrus and precuneus was associated with response after two weeks ( Xiao, 2021 ).…”

Section: Functional Predictorsmentioning

confidence: 99%

MRI predictors of pharmacotherapy response in major depressive disorder

Gerlach

Karim

Peciña

et al. 2022

NeuroImage: Clinical

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Section: Functional Predictorsmentioning

confidence: 99%

MRI predictors of pharmacotherapy response in major depressive disorder

Gerlach

Karim

Peciña

et al. 2022

NeuroImage: Clinical

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“…Increased PCC/precuneus and middle temporal gyrus activation has been predictive of SSRI treatment response in MDD patients. 85 , 86 Taken together, activity changes in these brain regions warrant further investigation into their associations with depressive symptoms and treatment response.…”

Section: Discussionmentioning

confidence: 99%

Neuroimaging Correlates of Treatment Response with Psychedelics in Major Depressive Disorder: A Systematic Review

et al. 2022

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Preliminary evidence supports the use of psychedelics for major depressive disorder (MDD). However, less attention has been given to the neural mechanisms behind their effects. We conducted a systematic review examining the neuroimaging correlates of antidepressant response following psychedelic interventions for MDD. Through MEDLINE, Embase, and APA PsycINFO, 187 records were identified and 42 articles were screened. Six published studies and one conference abstract were included. Five ongoing trials were included from subjective outcomesTrials.gov. Our search covered several psychedelics, though included studies were specific to psilocybin, ayahuasca, and lysergic acid diethylamide. Three psilocybin studies noted amygdala activity and functional connectivity (FC) alterations that correlated with treatment response. Two psilocybin studies reported that FC changes in the medial and ventromedial prefrontal cortices correlated with treatment response. Two trials from a single study reported global decreases in brain network modularity which correlated with antidepressant response. One ayahuasca study reported increased activity in the limbic regions following treatment. Preliminary evidence suggests that the default mode and limbic networks may be a target for future research on the neural mechanisms of psychedelics. More data is required to corroborate these initial findings as the evidence summarized in this review is based on four datasets.

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“…As of 2010, it is the second leading factor in influencing years lived with disability among various diseases [ 2 ]. Antidepressant medication, such as selective serotonin reuptake inhibitor (SSRI), is the first-line treatment for MDD patients [ 3 ]. However, antidepressants are not effective for all MDD patients.…”

Section: Introductionmentioning

confidence: 99%

Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks

Zhou

et al. 2022

Transl Psychiatry

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The prediction of antidepressant response is critical for psychiatrists to select the initial antidepressant drug for patients with major depressive disorders (MDD). The implicated brain networks supporting emotion regulation (ER) are critical in the pathophysiology of MDD and the prediction of antidepressant response. Therefore, the primary aim of the current study was to identify the neuroimaging biomarkers for the prediction of remission in patients with MDD based on the resting-state functional connectivity (rsFC) of the ER networks. A total of 81 unmedicated adult MDD patients were investigated and they underwent resting-state functional magnetic resonance imagining (fMRI) scans. The patients were treated with escitalopram for 12 weeks. The 17-item Hamilton depression rating scale was used for assessing remission. The 36 seed regions from predefined ER networks were selected and the rsFC matrix was caculated for each participant. The support vector machine algorithm was employed to construct prediction model, which separated the patients with remission from those with non-remission. And leave-one-out cross-validation and the area under the curve (AUC) of the receiver operating characteristic were used for evaluating the performance of the model. The accuracy of the prediction model was 82.08% (sensitivity = 71.43%, specificity = 89.74%, AUC = 0.86). The rsFC between the left medial superior frontal gyrus and the right inferior frontal gyrus as well as the precuneus were the features with the highest discrimination ability in predicting remission from escitalopram among the MDD patients. Results from our study demonstrated that rsFC of the ER brain networks are potential predictors for the response of antidepressant drugs. The trial name: appropriate technology study of MDD diagnosis and treatment based on objective indicators and measurement. URL: http://www.chictr.org.cn/showproj.aspx?proj=21377 . Registration number: ChiCTR-OOC-17012566.

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Functional connectivity of the hippocampus in predicting early antidepressant efficacy in patients with major depressive disorder

Cited by 18 publications

References 67 publications

MRI predictors of pharmacotherapy response in major depressive disorder

MRI predictors of pharmacotherapy response in major depressive disorder

Neuroimaging Correlates of Treatment Response with Psychedelics in Major Depressive Disorder: A Systematic Review

Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks

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