Disrupted resting-state functional connectivity of the hippocampus in medication-naïve patients with major depressive disorder

Cao, Xiaohua; Liu, Zhifen; Xu, Cheng; Jian-ying, LI; Gao, Qiang; Sun, Ning; Xu, Yong; Ren, Yan; Yang, Chunxia; Zhang, Kerang

doi:10.1016/j.jad.2012.03.002

Cited by 104 publications

(81 citation statements)

References 69 publications

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“…1B). When reported, DN hyperconnectivity with lateral prefrontal regions was predominantly related to enhanced positive, 32,34,45 but also weaker negative, 31 connectivity in MDD. No differences were detected among anatomical regions of DN in the likelihood of hyperconnectivity with DLPFC, p ’s>0.29, and effects were not moderated by clinical/demographic variables, p ’s>0.19.…”

Section: Resultsmentioning

confidence: 89%

Large-Scale Network Dysfunction in Major Depressive Disorder

et al. 2015

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Section: Resultsmentioning

confidence: 89%

Large-Scale Network Dysfunction in Major Depressive Disorder

et al. 2015

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“…Details of these studies are presented in Table 1. Group B represents increased connectivity or low frequency fluctuations in depression compared to controls (Table 2) (Liu et al, 2010, 2013a,b; Sheline et al, 2010; Veer et al, 2010; Zhou et al, 2010; Furman et al, 2011; Guo et al, 2011a,b, 2012b, 2013a,b; Hamilton et al, 2011; Wu et al, 2011; Cao et al, 2012; Ma et al, 2012; Wang et al, 2012a, 2013a; Ye et al, 2012; Zhu et al, 2012). …”

Section: Methodsmentioning

confidence: 99%

Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression

Sundermann

Beverborg

Pfleiderer

2014

Front. Hum. Neurosci.

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Information derived from functional magnetic resonance imaging (fMRI) during wakeful rest has been introduced as a candidate diagnostic biomarker in unipolar major depressive disorder (MDD). Multiple reports of resting state fMRI in MDD describe group effects. Such prior knowledge can be adopted to pre-select potentially discriminating features for diagnostic classification models with the aim to improve diagnostic accuracy. Purpose of this analysis was to consolidate spatial information about alterations of spontaneous brain activity in MDD, primarily to serve as feature selection for multivariate pattern analysis techniques (MVPA). Thirty two studies were included in final analyses. Coordinates extracted from the original reports were assigned to two categories based on directionality of findings. Meta-analyses were calculated using the non-additive activation likelihood estimation approach with coordinates organized by subject group to account for non-independent samples. Converging evidence revealed a distributed pattern of brain regions with increased or decreased spontaneous activity in MDD. The most distinct finding was hyperactivity/hyperconnectivity presumably reflecting the interaction of cortical midline structures (posterior default mode network components including the precuneus and neighboring posterior cingulate cortices associated with self-referential processing and the subgenual anterior cingulate and neighboring medial frontal cortices) with lateral prefrontal areas related to externally-directed cognition. Other areas of hyperactivity/hyperconnectivity include the left lateral parietal cortex, right hippocampus and right cerebellum whereas hypoactivity/hypoconnectivity was observed mainly in the left temporal cortex, the insula, precuneus, superior frontal gyrus, lentiform nucleus and thalamus. Results are made available in two different data formats to be used as spatial hypotheses in future studies, particularly for diagnostic classification by MVPA.

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“…Furthermore, disrupted functional hippocampal connectivity within the prefrontal and parietal cortex has been revealed by fMRI in MDD patients (Cao et al 2012; Delaveau et al 2011; Jaworska et al 2015; Milne et al 2012; Toki et al 2014). …”

Section: Brain Regions and Neurocircuits Involved In Depression: Neurmentioning

confidence: 99%

Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression

et al. 2018

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Depression is a major health problem with a high prevalence and a heavy socioeconomic burden in western societies. It is associated with atrophy and impaired functioning of cortico-limbic regions involved in mood and emotion regulation. It has been suggested that alterations in neurotrophins underlie impaired neuroplasticity, which may be causally related to the development and course of depression. Accordingly, mounting evidence suggests that antidepressant treatment may exert its beneficial effects by enhancing trophic signaling on neuronal and synaptic plasticity. However, current antidepressants still show a delayed onset of action, as well as lack of efficacy. Hence, a deeper understanding of the molecular and cellular mechanisms involved in the pathophysiology of depression, as well as in the action of antidepressants, might provide further insight to drive the development of novel fast-acting and more effective therapies. Here, we summarize the current literature on the involvement of neurotrophic factors in the pathophysiology and treatment of depression. Further, we advocate that future development of antidepressants should be based on the neurotrophin theory.

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Disrupted resting-state functional connectivity of the hippocampus in medication-naïve patients with major depressive disorder

Cited by 104 publications

References 69 publications

Large-Scale Network Dysfunction in Major Depressive Disorder

Large-Scale Network Dysfunction in Major Depressive Disorder

Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression

Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression

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