Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: A resting-state fMRI study

Guo, Wenbin; Liu, Feng; Zhang, Xue; Xu, Xijia; Wu, Renrong; Ma, Chaoqiong; Wooderson, Sarah C.; Tan, Chongqing; Sun, Xiaochuan; Chen, Jindong; Liu, Zhening; Xiao, Changfu; Chen, Huafu; Zhao, Jingping

doi:10.1016/j.pnpbp.2012.01.011

Cited by 162 publications

(104 citation statements)

References 64 publications

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“…Although these results cannot be easily related to previous BPD findings, a similar pattern of ALFF reductions has been reported in schizophrenia (59,60), depression (61), and obsessive-compulsive disorder (62), and it is probably associated with nonspecific deficits occurring in all these disorders.…”

Section: Discussionsupporting

confidence: 80%

Converging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder

Salvador

Vega

Pascual

et al. 2016

Biological Psychiatry

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BACKGROUND: The psychological profile of patients with borderline personality disorder (BPD), with impulsivity and emotional dysregulation as core symptoms, has guided the search for abnormalities in specific brain areas such as the hippocampal-amygdala complex and the frontomedial cortex. However, whole-brain imaging studies so far have delivered highly heterogeneous results involving different brain locations. METHODS: Functional resting-state and diffusion magnetic resonance imaging data were acquired in patients with BPD and in an equal number of matched control subjects (n 5 60 for resting and n 5 43 for diffusion). While mean diffusivity and fractional anisotropy brain images were generated from diffusion data, amplitude of low-frequency fluctuations and global brain connectivity images were used for the first time to evaluate BPD-related brain abnormalities from resting functional acquisitions. RESULTS: Whole-brain analyses using a p 5 .05 corrected threshold showed a convergence of alterations in BPD patients in genual and perigenual structures, with frontal white matter fractional anisotropy abnormalities partially encircling areas of increased mean diffusivity and global brain connectivity. Additionally, a cluster of enlarged amplitude of low-frequency fluctuations (high resting activity) was found involving part of the left hippocampus and amygdala. In turn, this cluster showed increased resting functional connectivity with the anterior cingulate. CONCLUSIONS: With a multimodal approach and without using a priori selected regions, we prove that structural and functional abnormality in BPD involves both temporolimbic and frontomedial structures as well as their connectivity. These structures have been previously related to behavioral and clinical symptoms in patients with BPD.

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Section: Discussionsupporting

confidence: 80%

Converging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder

Salvador

Vega

Pascual

et al. 2016

Biological Psychiatry

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“…In addition, increased DC in the left IFG (BA 44) was observed in subclinical depressive subjects in the present study. Similarly, the abnormalities of left IFG have been increasingly reported in MDD (Guo et al, 2012) and nonclinical depression (Wei et al, 2014). It was suggested that deficits in semantic labeling of negative emotions were related to increased activation in left IFG in medication-free depressed individuals (van Wingen et al, 2011).…”

Section: Discussionmentioning

confidence: 86%

Decreased Subcortical and Increased Cortical Degree Centrality in a Nonclinical College Student Sample with Subclinical Depressive Symptoms: A Resting-State fMRI Study

Gao

Liu

et al. 2016

Front. Hum. Neurosci.

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Abnormal functional connectivity (FC) at rest has been identified in clinical depressive disorder. However, very few studies have been conducted to understand the underlying neural substrates of subclinical depression. The newly proposed centrality analysis approach has been increasingly used to explore the large-scale brain network of mental diseases. This study aimed to identify the degree centrality (DC) alteration of the brain network in subclinical depressive subjects. Thirty-seven candidates with subclinical depression and 34 well-matched healthy controls (HCs) were recruited from the same sample of college students. All subjects underwent a resting-state fMRI (rs-fMRI) scan to assess the DC of the whole brain. Compared with controls, subclinical depressive subjects displayed decreased DC in the right parahippocampal gyrus (PHG), left PHG/amygdala, and left caudate and elevated DC in the right posterior parietal lobule (PPL), left inferior frontal gyrus (IFG) and left middle frontal gyrus (MFG). In addition, by using receiver operating characteristic (ROC) analysis, we determined that the DC values in the regions with altered FC between the two groups can be used to differentiate subclinical depressive subjects from HCs. We suggest that decreased DC in subcortical and increased DC in cortical regions might be the neural substrates of subclinical depression.

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“…The visual cortex and the superior parietal lobule are critical components of the visual information processing system, with the superior parietal lobule in particular involved in spatial orientation. Visual recognition circuits have been implicated in studies of relations between rs-fcMRI and response to antidepressant treatments (Guo et al, 2013b;Guo et al, 2012;Wang et al, 2014), though the precise functional role of connectivity between the anterior insula and visual processing regions in antidepressant treatment response remains to be elucidated.…”

Section: Discussionmentioning

confidence: 99%

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

Crowther

Smoski

Minkel

et al. 2015

Neuropsychopharmacol

119

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Despite the heterogeneous symptom presentation and complex etiology of major depressive disorder (MDD), functional neuroimaging studies have shown with remarkable consistency that dysfunction in mesocorticolimbic brain systems are central to the disorder. Relatively less research has focused on the identification of biological markers of response to antidepressant treatment that would serve to improve the personalized delivery of empirically supported antidepressant interventions. In the present study, we investigated whether resting-state functional brain connectivity (rs-fcMRI) predicted response to Behavioral Activation Treatment for Depression, an empirically validated psychotherapy modality designed to increase engagement with rewarding stimuli and reduce avoidance behaviors. Twenty-three unmedicated outpatients with MDD and 20 matched nondepressed controls completed rs-fcMRI scans after which the MDD group received an average of 12 sessions of psychotherapy. The mean change in Beck Depression Inventory-II scores after psychotherapy was 12.04 points, a clinically meaningful response. Resting-state neuroimaging data were analyzed with a seed-based approach to investigate functional connectivity with four canonical resting-state networks: the default mode network, the dorsal attention network, the executive control network, and the salience network. At baseline, the MDD group was characterized by relative hyperconnectivity of multiple regions with precuneus, anterior insula, dorsal anterior cingulate cortex (dACC), and left dorsolateral prefrontal cortex seeds and by relative hypoconnectivity with intraparietal sulcus, anterior insula, and dACC seeds. Additionally, connectivity of the precuneus with the left middle temporal gyrus and connectivity of the dACC with the parahippocampal gyrus predicted the magnitude of pretreatment MDD symptoms. Hierarchical linear modeling revealed that response to psychotherapy in the MDD group was predicted by pretreatment connectivity of the right insula with the right middle temporal gyrus and the left intraparietal sulcus with the orbital frontal cortex. These results add to the nascent body of literature investigating pretreatment rs-fcMRI predictors of antidepressant treatment response and is the first study to examine rs-fcMRI predictors of response to psychotherapy.

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Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: A resting-state fMRI study

Cited by 162 publications

References 64 publications

Converging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder

Converging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder

Decreased Subcortical and Increased Cortical Degree Centrality in a Nonclinical College Student Sample with Subclinical Depressive Symptoms: A Resting-State fMRI Study

Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder

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