Electroconvulsive therapy changes temporal dynamics of intrinsic brain activity in depressed patients

Nie, Jiajia; Wei, Qiang; Bai, Tongjian; Zhang, Ting; Lv, Huaming; Zhang, Li; Ji, Gong‐Jun; Yu, Fengqiong; Tian, Yanghua; Wang, Kai

doi:10.1016/j.psychres.2022.114732

Cited by 14 publications

(6 citation statements)

References 54 publications

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“…In addition, the dynamic ReHo values in the right precuneus were negatively correlated with the SDS scores. Previous studies have found that spontaneous local neural activity in the precuneus decreases in people with depression 21,29 . Moreover, abnormal brain function activity in the precuneus has been associated with depression and poor sleep quality in some studies 30,31 .…”

Section: Discussionmentioning

confidence: 89%

“…Intrinsic brain activity changes over time [15][16][17] . Sliding windows are primarily a dynamic analysis method and have been widely used to explore the temporal variability of brain functional activity in various diseases such as Parkinson's disease, attention de cit hyperactivity disorder, schizophrenia, and major depression [18][19][20][21] . Combining ReHo with a sliding window, proposed the dynamic ReHo method to measure the time-varying local functional connectivity.…”

Section: Introductionmentioning

confidence: 99%

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Static and temporal dynamic alterations of local functional connectivity in chronic insomnia

Li,

Zeng

et al. 2024

Preprint

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Background: Several studies have revealed altered intrinsic neural activity in chronic insomnia (CI). However, the temporal variability of intrinsic neural activity in CI is rarely mentioned. This study aimed to explore static and temporal dynamic alterations of regional homogeneity (ReHo) in CI and excavate the potential associations between these changes and clinical characteristics. Methods: Eighty-seven patients with CI and seventy-eight healthy controls (HCs) were included. Resting-state functional magnetic resonance imaging was performed on all subjects and both static and dynamic ReHo were used to detect local functional connectivity. We then tested the relationship between altered brain regions, disease duration, and clinical scales. The receiver operating characteristic curve analysis was used to reveal the potential capability of these indicators to screen CI patients from HCs. Results: CI showed increased dynamic ReHo in the right precuneus and decreased static ReHo in the right cerebellum_6. The dynamic ReHo values of the right precuneus were negatively correlated with the self-rating depression score and the static ReHo values of the right cerebellum_6 were positively correlated with the Montreal Cognitive Assessment-Naming scor e. In addition, the combination of the two metrics showed a potential capacity to distinguish CI patients from HCs, which was better than a single metric alone. Conclusions: The present study has revealed the altered local functional connectivity under static and temporal dynamic conditions in patients with CI, and found the relationships between these changes, mood-related scales, and cognitive-related scales. These may be useful in elucidating the neurological mechanisms of CI and accompanying symptoms.

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Section: Discussionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Static and temporal dynamic alterations of local functional connectivity in chronic insomnia

Li,

Zeng

et al. 2024

Preprint

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“…It is important to note that despite its widespread clinical use, the precise mechanisms underlying the therapeutic effects of electroconvulsive therapy (ECT) are not fully understood. 35 , 36 ECT has a global impact on the entire brain rather than targeting specific regions or circuits. Consequently, it can induce extensive changes in both global and local brain connectivity and activity.…”

Section: Methodsmentioning

confidence: 99%

Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression

Amiri,

Arbabi,

Rahimi

et al. 2023

Brain Communications

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The therapeutic effect of deep brain stimulation on patients with treatment-resistant depression is strongly dependent on the connectivity of the stimulation region with other regions associated with depression. The aims of this study are to characterize the effective connectivity between the brain regions playing important roles in depression and further investigate the underlying pathophysiological mechanisms of treatment-resistant depression and the mechanisms involving deep brain stimulation. Thirty-three individuals with treatment-resistant depression and twenty-nine healthy control subjects were examined. All subjects underwent resting-state functional magnetic resonance imaging scanning. The coupling parameters reflecting the causal interactions among deep brain stimulation targets and medial prefrontal cortex were estimated using spectral dynamic causal modeling. Our results showed that compared to the healthy control subjects, in the left hemisphere of treatment-resistant depression patients, the nucleus accumbens was inhibited by the inferior thalamic peduncle and excited the ventral caudate and the subcallosal cingulate gyrus, which in turn excited the lateral habenula. In the right hemisphere, lateral habenula inhibited ventral caudate and nucleus accumbens, both of which inhibited inferior thalamic peduncle, which in turn inhibited cingulate gyrus. ventral caudate excited lateral habenula and cingulate gyrus, which excited medial prefrontal cortex. Furthermore, these effective connectivity links varied between males and females, and left and right hemispheres. Our findings suggest that intrinsic excitatory/inhibitory connections between deep brain stimulation targets are impaired in treatment-resistant depression patients and that these connections are sex dependent and hemispherically lateralized. This knowledge can help to better understand the underlying mechanisms of treatment-resistant depression, and along with tractography, structural imaging, and other relevant clinical information, may assist to determine the appropriate region for deep brain stimulation therapy in each treatment-resistant depression patient.

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“…In this regard, the dynamic indices could provide complementary information and may be used to better characterize and differentiate brain conditions. Indeed, studies of the dynamic FC of iBA using the sliding time window method have contributed to the uncovering of neural mechanisms of multiple neurological disease, including subjective cognitive decline [17], depression [18,19], and Parkinson diseases [20]. To date, only one VM study explored the time-varying attributes of iBA, and discovered atypical dynamic FC between resting-state networks in patients with VM when compared with HC [21].…”

Section: Introductionmentioning

confidence: 99%

Dynamics and concordance alterations of regional brain function indices in vestibular migraine: a restingstate fMRI study

Xiong,

Dai,

Chen

et al. 2023

Preprint

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Background Prior MRI studies on vestibular migraine (VM) have revealed abnormalities in static regional intrinsic brain activity (iBA) and dynamic functional connectivity between brain regions or networks. However, the temporal variation and concordance of regional iBA measures remain to be explored. Methods 57 VM patients during the interictal period were compared to 88 healthy controls (HC) in this resting-state functional magnetic resonance imaging (fMRI) study. The dynamics and concordance of regional iBA indices, including amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo), were examined by utilizing sliding time-window analysis. Partial correlation analyses were performed between clinical parameters and resting-state fMRI indices in brain areas showing significant group differences. Results The VM group showed increased ALFF and ReHo dynamics, as well as increased temporal concordance between ALFF and ReHo in the bilateral paracentral lobule and supplementary motor area relative to the HC group. We also found decreased ReHo dynamics in the right temporal pole, and decreased ALFF dynamics in the right cerebellum posterior lobe, bilateral angular gyrus and middle occipital gyrus (MOG) in the VM group compared with the HC group. Moreover, a positive correlation was observed between ALFF dynamics in the left MOG and vertigo disease duration across all VM patients. Conclusion Temporal dynamics and concordance of regional iBA indices were altered in the motor cortex, cerebellum, occipital and temporoparietal cortex, which may contribute to disrupted multisensory processing and vestibular control in patients with VM. ALFF dynamics in the left MOG may be useful biomarker for evaluating vertigo burden in this disorder.

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Electroconvulsive therapy changes temporal dynamics of intrinsic brain activity in depressed patients

Cited by 14 publications

References 54 publications

Static and temporal dynamic alterations of local functional connectivity in chronic insomnia

Static and temporal dynamic alterations of local functional connectivity in chronic insomnia

Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression

Dynamics and concordance alterations of regional brain function indices in vestibular migraine: a restingstate fMRI study

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