Altered Brain Function in Drug-Naïve Major Depressive Disorder Patients With Early-Life Maltreatment: A Resting-State fMRI Study

Xu, Zhexue; Zhang, Jing; Wang, Di; Wang, Ting; Zhang, Shu; Ren, Xi; Zhu, Xiaolei; Kamiya, Atsushi; Fang, Jiliang; Qu, Miao

doi:10.3389/fpsyt.2019.00255

Cited by 12 publications

(7 citation statements)

References 55 publications

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“…11,54 The FC abnormality in PFC could distinguish MDDCM from MDDNCM. 55 In line with previous literature, the FCs of OFC-dlPFC and OFC-vmPFC were higher in HCCM or MDDNCM, and were positively correlated with CTQ scores and HAMD-c. These findings highlight the importance of PFC for CM experience underlying mechanism of depression, proposing a cognitive-related perspective into the relationship between CM and MDD.…”

Section: Discussionsupporting

confidence: 91%

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Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Liu,

Fan,

et al. 2023

Psychiatry Clin Neurosci

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AimChildhood maltreatment (CM) is an important risk factor for major depressive disorder (MDD). This study aimed to explore the specific effect of CM on cerebral blood flow (CBF) and brain functional connectivity (FC) in MDD patients.MethodsA total of 150 subjects were collected including 55 MDD patients with CM, 34 MDD patients without CM, 19 healthy controls (HC) with CM, and 42 HC without CM. All subjects completed MRI scans and neuropsychological tests. Two‐way analysis of covariance was employed to detect the main and interactive effects of disease and CM on CBF and FC across subjects. Then, partial correlation analyses were conducted to explore the behavioral significance of altered CBF and FC in MDD patients. Finally, a support vector classifier model was applied to differentiate MDD patients.ResultsMDD patients represented increased CBF in bilateral temporal lobe and decreased CBF in right visual cortex. Importantly, significant depression‐by‐CM interactive effects on CBF were primarily located in the frontoparietal regions, including orbitofrontal cortex (OFC), lateral prefrontal cortex (PFC), and parietal cortex. Moreover, significant FC abnormalities were seen in OFC‐PFC and frontoparietal‐visual cortex. Notably, the abnormal CBF and FC were significantly associated with behavioral performance. Finally, a combination of altered CBF and FC behaved with a satisfactory classific ability to differentiate MDD patients.ConclusionsThese results highlight the importance of frontoparietal and visual cortices for MDD with CM experience, proposing a potential neuroimaging biomarker for MDD identification.This article is protected by copyright. All rights reserved.

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Section: Discussionsupporting

confidence: 91%

“…MDD‐by‐CM interaction has been reported in PFC under stress conditions 11,54 . The FC abnormality in PFC could distinguish MDDCM from MDDNCM 55 . In line with previous literature, the FCs of OFC‐dlPFC and OFC‐vmPFC were higher in HCCM or MDDNCM, and were positively correlated with CTQ scores and HAMD‐c.…”

Section: Discussionsupporting

confidence: 84%

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Liu,

Fan,

et al. 2023

Psychiatry Clin Neurosci

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“…Resting-state functional magnetic resonance (rs-fMRI; Qin et al, 2019 ; Zhou Z. W. et al, 2019 ) is one of the most commonly used techniques for neuroimaging. The amplitude of low-frequency fluctuation (ALFF; Zhang et al, 2017 ; Xu et al, 2019 ), which can detect the amplitude of spontaneous brain fluctuations, is one of the most commonly used fMRI measurements.…”

Section: Introductionmentioning

confidence: 99%

Application of Functional Magnetic Resonance Imaging in the Diagnosis of Parkinson’s Disease: A Histogram Analysis

Shi¹,

Zhang²,

Wang³

et al. 2021

Front. Aging Neurosci.

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This study aimed to investigate the value of amplitude of low-frequency fluctuation (ALFF)-based histogram analysis in the diagnosis of Parkinson’s disease (PD) and to investigate the regions of the most important discriminative features and their contribution to classification discrimination. Patients with PD (n = 59) and healthy controls (HCs; n = 41) were identified and divided into a primary set (80 cases, including 48 patients with PD and 32 HCs) and a validation set (20 cases, including 11 patients with PD and nine HCs). The Automated Anatomical Labeling (AAL) 116 atlas was used to extract the histogram features of the regions of interest in the brain. Machine learning methods were used in the primary set for data dimensionality reduction, feature selection, model construction, and model performance evaluation. The model performance was further validated in the validation set. After feature data dimension reduction and feature selection, 23 of a total of 1,276 features were entered in the model. The brain regions of the selected features included the frontal, temporal, parietal, occipital, and limbic lobes, as well as the cerebellum and the thalamus. In the primary set, the area under the curve (AUC) of the model was 0.974, the sensitivity was 93.8%, the specificity was 90.6%, and the accuracy was 93.8%. In the validation set, the AUC, sensitivity, specificity, and accuracy were 0.980, 90.9%, 88.9%, and 90.0%, respectively. ALFF-based histogram analysis can be used to classify patients with PD and HCs and to effectively identify abnormal brain function regions in PD patients.

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“…The MFG (BA 9 and 46) is located in the DLPFC, and is recruited in cognitive functions such as memory and attention. The left MFG has an inhibitive and recalling function in psychological disease (41,42). The MFG (BA 8) and precentral gyrus (BA6) were regarded to be frontal eye fields associated with eye movements in attention and memory (43).…”

Section: Varied Functional Patterns With Different Age Of Onsetmentioning

confidence: 99%

Functional plasticity abnormalities over the lifespan of first-episode patients with major depressive disorder: a resting state fMRI study

Yang¹,

Wei²,

Ouyang³

et al. 2021

Ann Transl Med

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Background: Neurodevelopmental and neurodegenerative theories of depression suggest that patients with major depressive disorder (MDD) may follow abnormal developmental, maturational, and aging processes.However, a lack of lifespan studies has precluded verification of these theories. Herein, we analyzed functional magnetic resonance imaging (fMRI) data to comprehensively characterize age-related functional trajectories, as measured by the fractional amplitude of low frequency fluctuations (fALFF), over the course of MDD.Methods: In total, 235 MDD patients with age-differentiated onsets and 235 age-and sex-matched healthy controls (HC) were included in this study. We determined the pattern of age-related fALFF changes by cross-sectionally establishing the general linear model (GLM) between fALFF and age over a lifespan. Furthermore, the subjects were divided into four age groups to assess age-related neural changes in detail.Inter-group fALFF comparison (MDD vs. HC) was conducted in each age group and Granger causal analysis (GCA) was applied to investigate effective connectivity between regions.Results: Compared with the HC, no significant quadratic or linear age effects were found in MDD over the entire lifespan, suggesting that depression affects the normal developmental, maturational, and degenerative process. Inter-group differences in fALFF values varied significantly at different ages of onset. This implies that MDD may impact brain functions in a highly dynamic way, with different patterns of alterations at different stages of life. Moreover, the GCA analysis results indicated that MDD followed a distinct pattern of effective connectivity relative to HC, and this may be the neural basis of MDD with agedifferentiated onsets.Conclusions: Our findings provide evidence that normal developmental, maturational, and ageing processes were affected by MDD. Most strikingly, functional plasticity changes in MDD with different ages of onset involved dynamic interactions between neuropathological processes in a tract-specific manner.

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Altered Brain Function in Drug-Naïve Major Depressive Disorder Patients With Early-Life Maltreatment: A Resting-State fMRI Study

Cited by 12 publications

References 55 publications

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Application of Functional Magnetic Resonance Imaging in the Diagnosis of Parkinson’s Disease: A Histogram Analysis

Functional plasticity abnormalities over the lifespan of first-episode patients with major depressive disorder: a resting state fMRI study

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