Abnormal dynamic functional connectivity of amygdalar subregions in untreated patients with first-episode major depressive disorder

Qiu, Lihua; Xia, Mingrui; Cheng, Bo-Chao; Lin, Yuan; Kuang, Weihong; Bi, Feng; Ai, Hua; Gu, Zhongwei; Lui, Su; Huang, Xiaoqi; He, Yong; Gong, Qiyong

doi:10.1503/jpn.170112

Cited by 43 publications

(24 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies tried to characterize TVC abnormalities present in different psychiatric and neurological diseases, sometimes looking for an early diagnostic biomarker (Du et al, 2018; Mennigen et al, 2018). Modification of TVC strength, dwell time or number of transitions between states varied according to the disease status in patients affected by bipolar disorder (Rashid et al, 2014, 2016), schizophrenia (Yu et al, 2015; Cetin et al, 2016; Rashid et al, 2016; Gazula et al, 2018; Yue et al, 2018; Zhang W. et al, 2018), depression (Liao et al, 2018; Qiu et al, 2018; Zhi et al, 2018), autism (He et al, 2018; Rashid et al, 2018a), stroke (Chen et al, 2018), mild traumatic brain injury (Vergara et al, 2018), epilepsy (Ridley et al, 2017; Klugah-Brown et al, 2018), Alzheimer's disease (Quevenco et al, 2017; Jie et al, 2018), and Parkinson's disease (Engels et al, 2018).…”

Section: Application Of Time-varying Fc Techniques To Psychiatric Andmentioning

confidence: 99%

“…In psychiatric diseases, widespread TVC abnormalities have been found. Patients with bipolar disorder and major depression expressed TVC abnormalities mainly in executive (Rashid et al, 2014; Du et al, 2017), amygdala/salience (Qiu et al, 2018; Zhi et al, 2018), and salience/executive regions (Mokhtari et al, 2018a,b). Schizophrenia patients showed a complex pattern of decreased and increased TVC mainly in the DMN (Sakoglu et al, 2010; Abrol et al, 2017), and in frontal, parietal, auditory (Damaraju et al, 2014; Rashid et al, 2014; Du et al, 2017, 2018; Sun et al, 2018), visual (Fu et al, 2018; Rashid et al, 2018b; Sun et al, 2018), and thalamic areas (Damaraju et al, 2014; Rashid et al, 2014, 2018b; Du et al, 2018).…”

Section: Application Of Time-varying Fc Techniques To Psychiatric Andmentioning

confidence: 99%

See 1 more Smart Citation

Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

et al. 2019

View full text Add to dashboard Cite

Functional magnetic resonance imaging (fMRI) at resting state (RS) has been widely used to characterize the main brain networks. Functional connectivity (FC) has been mostly assessed assuming that FC is static across the whole fMRI examination. However, FC is highly variable at a very fast time-scale, as demonstrated by neurophysiological techniques. Time-varying functional connectivity (TVC) is a novel approach that allows capturing reoccurring patterns of interaction among functional brain networks. Aim of this review is to provide a description of the methods currently used to assess TVC on RS fMRI data, and to summarize the main results of studies applying TVC in healthy controls and patients with multiple sclerosis (MS). An overview of the main results obtained in neurodegenerative and psychiatric conditions is also provided. The most popular TVC approach is based on the so-called “sliding windows,” in which the RS fMRI acquisition is divided in small temporal segments (windows). A window of fixed length is shifted over RS fMRI time courses, and data within each window are used to calculate FC and its variability over time. Sliding windows can be combined with clustering techniques to identify recurring FC states or used to assess global TVC properties of large-scale functional networks or specific brain regions. TVC studies have used heterogeneous methodologies so far. Despite this, similar results have been obtained across investigations. In healthy subjects, the default-mode network (DMN) exhibited the highest degree of connectivity dynamism. In MS patients, abnormal global TVC properties and TVC strengths were found mainly in sensorimotor, DMN and salience networks, and were associated with more severe structural MRI damage and with more severe physical and cognitive disability. Conversely, abnormal TVC measures of the temporal network were correlated with better cognitive performances and less severe fatigue. In patients with neurodegenerative and psychiatric conditions, TVC abnormalities of the DMN, attention and executive networks were associated to more severe clinical manifestations. TVC helps to provide novel insights into fundamental properties of functional networks, and improves the understanding of brain reorganization mechanisms. Future technical advances might help to clarify TVC association with disease prognosis and response to treatment.

show abstract

Section: Application Of Time-varying Fc Techniques To Psychiatric Andmentioning

confidence: 99%

Section: Application Of Time-varying Fc Techniques To Psychiatric Andmentioning

confidence: 99%

Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A previous dReHo study using the sliding-window approach showed that brain regions with large fluctuations in dReHo are often functional centers in the brain (17). In addition, this research method has been extensively used in the study of depression, schizophrenia, and bipolar disorder (18–20). However, no relevant studies have reported in the changes of dReHo in TN patients.…”

Section: Introductionmentioning

confidence: 99%

Alterations of Dynamic Regional Homogeneity in Trigeminal Neuralgia: A Resting-State fMRI Study

Yan

et al. 2019

Front. Neurol.

View full text Add to dashboard Cite

Accumulating evidence from neuroimaging studies has supported that chronic pain could induce changes in brain function. However, few studies have focused on the dynamic regional homogeneity (dReHo) of trigeminal neuralgia (TN). In this study, twenty-eight TN patients and 28 healthy controls (HC) were included. Based on the resting-state fMRI (rsfMRI), we detected abnormalities in dReHo in the TN patients. Patients with TN had decreased dReHo in the left middle temporal gyrus, superior parietal lobule, and precentral gyrus, and increased dReHo in the thalamus. Furthermore, the increase in dReHo in the thalamus was positively correlated with duration of TN (r = 0.485, p = 0.012). These results provide compelling evidence for abnormal resting-state brain activity in TN and suggest that the duration of TN may play a critical role in brain function.

show abstract

“…The investigation of dFC and dReHo in the resting state may provide new insight into the aberrant brain connectivity in PTSD. Previous studies investigating major depression (28), schizophrenia (29, 30), and bipolar disorder (31) showed abnormal dFC and dReHo under the resting state of these patients, and all of these psychiatry researches found aberrant dFC or aberrant dynamic local activities in the DMN. A possible explanation for these abnormalities is the dynamic nature of the DMN, which exhibits dynamic interactions with a number of other brain systems in the resting state (32).…”

Section: Introductionmentioning

confidence: 87%

Altered Local and Large-Scale Dynamic Functional Connectivity Variability in Posttraumatic Stress Disorder: A Resting-State fMRI Study

et al. 2019

Front. Psychiatry

View full text Add to dashboard Cite

Posttraumatic stress disorder (PTSD) is a psychiatric condition that can emerge after exposure to an exceedingly traumatic event. Previous neuroimaging studies have indicated that PTSD is characterized by aberrant resting-state functional connectivity (FC). However, few existing studies on PTSD have examined dynamic changes in resting-state FC related to network formation, interaction, and dissolution over time. In this study, we compared the dynamic resting-state local and large-scale FC between PTSD patients ( n = 22) and healthy controls (HC; n = 22; conducted as standard deviation in resting-state local and large-scale FC over a series of sliding windows). Local dynamic FC was examined by calculating the dynamic regional homogeneity (dReHo), and large-scale dynamic FC (dFC) was investigated between regions with significant dReHo group differences. For the PTSD patients, we also investigated the relationship between symptom severity and dFC/dReHo. Our results showed that PTSD patients were characterized by I) increased dynamic (more variable) dReHo in left precuneus (PCu); II) increased dynamic (more variable) dFC between the left PCu and left insula; and III) decreased dFC between left PCu and left inferior parietal lobe (IPL), and decreased dFC between left PCu and right PCu. However, there is no significant correlation between the clinical indicators and dReHo/dFC after the family-wise-error (FWE) correction. These findings provided the initial evidence that PTSD is characterized by aberrant patterns of fluctuating communication within brain system such as the default mode network (DMN) and among different brain systems such as the salience network and the DMN.

show abstract

Abnormal dynamic functional connectivity of amygdalar subregions in untreated patients with first-episode major depressive disorder

Cited by 43 publications

References 69 publications

Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

Alterations of Dynamic Regional Homogeneity in Trigeminal Neuralgia: A Resting-State fMRI Study

Altered Local and Large-Scale Dynamic Functional Connectivity Variability in Posttraumatic Stress Disorder: A Resting-State fMRI Study

Contact Info

Product

Resources

About