Abnormal neural activities in first-episode, treatment-naïve, short-illness-duration, and treatment-response patients with major depressive disorder: A resting-state fMRI study

Guo, Wenbin; Liu, Feng; Zhang, Xue; Yan, Yu; Ma, Chaoqiong; Tan, Chongqing; Sun, Xiaochuan; Chen, Jindong; Liu, Zhening; Xiao, Changfu; Chen, Huafu; Zhao, Jingping

doi:10.1016/j.jad.2011.06.048

Cited by 125 publications

(67 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Parahippocampal atrophy was found in highlethality suicide attempters (Ahearn et al, 2001;Soloff et al, 2012), and postmortem studies have suggested a reduced parahippocampal volume in suicide victims (Altshuler et al, 1990). Our results are in accord with the decreased ReHo reported in the parahippocampal gyrus of MDD patients (Guo et al, 2011;Yao et al, 2009). Dysfunctional or damaged parahippocampal circuits may disrupt limbic pathways involved in affect regulation, thereby triggering or enhancing vulnerability to mood disorders, which in combination with environmental stressors results in suicidal behavior (Ehrlich et al, 2005).…”

Section: Hippocampus and Parahippocampal Gyrussupporting

confidence: 86%

Abnormal regional homogeneity in young adult suicide attempters with no diagnosable psychiatric disorder: A resting state functional magnetic imaging study

Cao

Chen

Kuang

et al. 2015

Psychiatry Research: Neuroimaging

View full text Add to dashboard Cite

Section: Hippocampus and Parahippocampal Gyrussupporting

confidence: 86%

Abnormal regional homogeneity in young adult suicide attempters with no diagnosable psychiatric disorder: A resting state functional magnetic imaging study

Cao

Chen

Kuang

et al. 2015

Psychiatry Research: Neuroimaging

View full text Add to dashboard Cite

“…Therefore, reliability was tested using two measures. The first employed measure was the Kendall’s rank correlation (in order to quantify the consistency in relative order (Zang et al 2004; Shehzad et al 2009; Guo et al 2011; Thomason et al 2011; Li et al 2012; Patriat et al 2013)) between the functional connectivity scores obtained at the first and second session, which quantifies the degree to which the order of observations is similar across both sessions. Modifications in the signal extraction and confound removal methods alters the residual signal fluctuations, which leads to variation in the connectivity measures.…”

Section: Methodsmentioning

confidence: 99%

Resting-state test–retest reliability of a priori defined canonical networks over different preprocessing steps

et al. 2016

View full text Add to dashboard Cite

Resting-state functional connectivity analysis has become a widely used method for the investigation of human brain connectivity and pathology. The measurement of neuronal activity by functional MRI, however, is impeded by various nuisance signals that reduce the stability of functional connectivity. Several methods exist to address this predicament, but little consensus has yet been reached on the most appropriate approach. Given the crucial importance of reliability for the development of clinical applications, we here investigated the effect of various confound removal approaches on the test-retest reliability of functional-connectivity estimates in two previously defined functional brain networks. Our results showed that grey matter masking improved the reliability of connectivity estimates, whereas de-noising based on principal components analysis reduced it. We additionally observed that refraining from using any correction for global signals provided the best test-retest reliability, but failed to reproduce anti-correlations between what have been previously described as antagonistic networks. This suggests that improved reliability can come at the expense of potentially poorer biological validity. Consistent with this, we observed that reliability was proportional to the retained variance, which presumably included structured noise, such as reliable nuisance signals (for instance, noise induced by cardiac processes). We conclude that compromises are necessary between maximizing test-retest reliability and removing variance that may be attributable to non-neuronal sources.

show abstract

“…As an exception, coordinates from one study (Lui et al, 2011) were transformed using tal2mni (Brett et al, 2001) as final coordinates in that study had initially been transformed using this method. Coordinates were assigned to two categories based on directionality of findings in order to avoid that clearly opposed findings in the original studies enhance each other in the ALE-analysis: group A comprises findings of decreased long distance or local connectivity (including lower correlation coefficients or lower regional homogeneity) or lower power of typical low frequency fluctuations representing spontaneous neural activity in depression compared to healthy controls and findings without clearly interpretable directionality information (Greicius et al, 2007; Bluhm et al, 2009; Yao et al, 2009; Liu et al, 2010, 2013a,b; Veer et al, 2010; Zhou et al, 2010; Furman et al, 2011; Guo et al, 2011a,b, 2012a,b, 2013a,b,c; Hamilton et al, 2011; Lui et al, 2011; Peng et al, 2011, 2012; Wu et al, 2011; Ma et al, 2012, 2013; Wang et al, 2012a, 2013a,b; Ye et al, 2012; Zhu et al, 2012; Tang et al, 2013; Zeng et al, 2013). Details of these studies are presented in Table 1.…”

Section: Methodsmentioning

confidence: 99%

“…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.

View full text Add to dashboard Cite

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.

show abstract

Abnormal neural activities in first-episode, treatment-naïve, short-illness-duration, and treatment-response patients with major depressive disorder: A resting-state fMRI study

Cited by 125 publications

References 41 publications

Abnormal regional homogeneity in young adult suicide attempters with no diagnosable psychiatric disorder: A resting state functional magnetic imaging study

Abnormal regional homogeneity in young adult suicide attempters with no diagnosable psychiatric disorder: A resting state functional magnetic imaging study

Resting-state test–retest reliability of a priori defined canonical networks over different preprocessing steps

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

Contact Info

Product

Resources

About