Alteration of spontaneous neuronal activity within the salience network in partially remitted depression

Liu, Chunhong; Ma, Xin; Song, Lina; Tang, Liming; Jing, Bin; Feng, Liqiang; Zhou, Zhen; Fan, Jin; Wang, Chuanyue

doi:10.1016/j.brainres.2014.12.040

Cited by 29 publications

(12 citation statements)

References 51 publications

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“…Interestingly, increased zALFF values were observed in MDD patients, and mirrored the abnormalities revealed by the positive task to a large extent, situated at task-related, DMN, and salience-related areas, particularly at the bilateral AI. Aberrant increases in ALFF have been associated with depression in the prior studies [ 55 ]. This type of index was reported to correlate with baseline cerebral blood flow (CBF) that is typically coupled to brain metabolism [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, MDD disintegrates the salience network, and alters the balance between CEN and DMN. Increased salience network dysfunction might lead to characteristic symptoms of depression, such as rumination (DMN), emotional over-reactivity (salience network), and emotional disinhibition (CEN) [ 55 , 60 ]. In our study, reduced functional connectivity was found between the dACC and bilateral AI which probably induced difficulties during salience processing in monitoring error and conflict associated with the classical function of dACC [ 25 , 61 ].…”

Section: Discussionmentioning

confidence: 99%

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Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder

Yang

Imamura

et al. 2016

PLoS ONE

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Altered brain function in patients with major depressive disorder (MDD) has been repeatedly demonstrated by task-based and resting-state studies, respectively. However, less is known concerning whether overlapped abnormalities in functional activities across modalities exist in MDD patients. To find out the answer, we implemented an fMRI experiment and collected both task and resting-state data from 19 MDD patients and 19 matched, healthy, controls. A distraction paradigm involving emotionally valenced pictures was applied to induce affective responses in subjects. As a result, concurrent deficits were found in arousing activation during a positive task in both the reward circuit and salience network (SN) that is composed of the dorsal part of anterior cingulate cortex (dACC) and bilateral anterior insulae (AI) in only the MDD group. Subsequent amplitude of low frequency fluctuations (ALFF) and functional connectivity analyses based on resting-state data exhibited consistent alterations in the bilateral AI of MDD patients, and indicated patients’ difficulties in regulating the balance between central executive network (CEN) and default mode network (DMN) due to altered connectivity among the CEN, DMN, and SN. Our findings provide new evidence demonstrating impaired salience processing and resulting alterations in responses to positive stimuli in MDD patients. Furthermore, brain abnormalities synchronized across functional states in MDD patients can be evidenced by a combination of task and resting-state fMRI analyses.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder

Yang

Imamura

et al. 2016

PLoS ONE

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“…By the year 2020, it will be the second leading global disease burden [ 4 ]. Besides, remitted MDD (rMDD) represents a not full recovery state of MDD, which also shows a tremendous effect on outcomes such as future relapse, morbidity and mortality [ 5 ]. Currently, no effective neurobiological markers or predictors are adopted to confirm the current MDD (cMDD) and rMDD in clinical practice, and the diagnosis of cMDD and rMDD are mainly based on the clinical symptoms and signs, and expert consensus.…”

Section: Introductionmentioning

confidence: 99%

Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases

et al. 2017

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Major depressive disorder (MDD) is a leading world-wide psychiatric disorder with high recurrence rate, therefore, it is desirable to identify current MDD (cMDD) and remitted MDD (rMDD) for their appropriate therapeutic interventions. In the study, 19 cMDD, 19 rMDD and 19 well-matched healthy controls (HC) were enrolled and scanned with the resting-state functional magnetic resonance imaging (rs-fMRI). The Hurst exponent (HE) of rs-fMRI in AAL-90 and AAL-1024 atlases were calculated and compared between groups. Then, a radial basis function (RBF) based support vector machine was proposed to identify every pair of the cMDD, rMDD and HC groups using the abnormal HE features, and a leave-one-out cross-validation was used to evaluate the classification performance. Applying the proposed method with AAL-1024 and AAL-90 atlas respectively, 87% and 84% subjects were correctly identified between cMDD and HC, 84% and 71% between rMDD and HC, and 89% and 74% between cMDD and rMDD. Our results indicated that the HE was an effective feature to distinguish cMDD and rMDD from HC, and the recognition performances with AAL-1024 parcellation were better than that with the conventional AAL-90 parcellation.

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“…Advanced methods for analyzing functional connectivity using MRI (for review, see [54]), such as seed-based correlation analysis, independent component analysis, regional homogeneity, and amplitude of low-frequency fluctuations, have been increasingly used. Through these techniques, aberrant functional connectivity has been identified in MDD, such as in the salience network (SN) [55,56], default mode network (DMN) [57][58][59][60], cognitive control network (CCN) [59,61], and affective network (AN) [60,62]. The SN, predominantly consisting of the anterior insular cortex and dorsal ACC, serves to assess the correlation of internal and external stimuli to produce appropriate responses and direct behaviors [63].…”

Section: Mr Imaging Of Resting-state Functional Connectivitymentioning

confidence: 99%

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

Zhang

Zhu

et al. 2016

Neurosci. Bull.

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Major depressive disorder (MDD) is a significant cause of morbidity and mortality worldwide, correlating with genetic susceptibility and environmental risk factors. Molecular, functional, and structural imaging approaches have been increasingly used to detect neurobiological changes, analyze neurochemical correlates, and parse pathophysiological mechanisms underlying MDD. We reviewed recent neuroimaging publications on MDD in terms of molecular, functional, and structural alterations as detected mainly by magnetic resonance imaging (MRI) and positron emission tomography. Altered structure and function of brain regions involved in the cognitive control of affective state have been demonstrated. An abnormal default mode network, as revealed by resting-state functional MRI, is likely associated with aberrant metabolic and serotonergic function revealed by radionuclide imaging. Further multi-modal investigations are essential to clarify the characteristics of the cortical network and serotonergic system associated with behavioral and genetic variations in MDD.

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Alteration of spontaneous neuronal activity within the salience network in partially remitted depression

Cited by 29 publications

References 51 publications

Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder

Task and Resting-State fMRI Reveal Altered Salience Responses to Positive Stimuli in Patients with Major Depressive Disorder

Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases

Molecular, Functional, and Structural Imaging of Major Depressive Disorder

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