Decreased functional connectivity between the dorsal anterior cingulate cortex and lingual gyrus in Alzheimer's disease patients with depression

Liu, Xiaozheng; Chen, Wei; Hou, Hongyan; Chen, Xingli; Zhang, Jiangtao; Liu, Jian; Guo, Zhongwei; Bai, Guanghui

doi:10.1016/j.bbr.2017.01.037

Cited by 60 publications

(44 citation statements)

References 70 publications

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“…Figure 1 plots the most significant nodal entropies for the anatomical regions of the brain. Patients with the depressive neurodegenerative disease have structural and functional inhibition in the frontal lobe and occipital lobe [34,35]. They are severely dam-aged by Alzheimer's disease with aberrant symptoms that affect recognition, memory and emotional behaviour [34].…”

Section: Salient Roi Detectionmentioning

confidence: 99%

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer’s Disease

Wang

2021

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This paper seeks to advance the state-of-the-art in analysing fMRI data to detect onset of Alzheimer’s disease and identify stages in the disease progression. We employ methods of network neuroscience to represent correlation across fMRI data arrays, and introduce novel techniques for network construction and analysis. In network construction, we vary thresholds in establishing BOLD time series correlation between nodes, yielding variations in topological and other network characteristics. For network analysis, we employ methods developed for modelling statistical ensembles of virtual particles in thermal systems. The microcanonical ensemble and the canonical ensemble are analogous to two different fMRI network representations. In the former case, there is zero variance in the number of edges in each network, while in the latter case the set of networks have a variance in the number of edges. Ensemble methods describe the macroscopic properties of a network by considering the underlying microscopic characterisations which are in turn closely related to the degree configuration and network entropy. When applied to fMRI data in populations of Alzheimer’s patients and controls, our methods demonstrated levels of sensitivity adequate for clinical purposes in both identifying brain regions undergoing pathological changes and in revealing the dynamics of such changes.

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Section: Salient Roi Detectionmentioning

confidence: 99%

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer’s Disease

Wang

2021

Entropy

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“…ROIs’ current densities in both the lingual gyrus and PCC (BAs 18/30) showed an enhancement for fibromyalgia compared with control participants. Whereas brain-imaging studies have recently implicated the lingual gyrus in emotional processing and visual recognition, the role played by the posterior cingulate cortex (PCC) is associated with certain aspects of pain processing [70,71]. Activity within the PCC has been linked to visuospatial functions as a part of defence responses aimed at avoiding potentially unpleasant stimuli [72].…”

Section: Discussionmentioning

confidence: 99%

Subliminal emotional pictures are capable of modulating early cerebral responses to pain in fibromyalgia

et al. 2019

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Pain experience involves a complex relationship between sensory and both emotional and cognitive factors, which appear to be mediated by different neural pathways. Previous evidence has shown that whereas conscious processing of unpleasant stimuli enhances pain perception, the influence of emotions on pain under unaware conditions is much less known. The need to better characterise the relationship between pain processing and emotional factors is crucial for dealing with chronic pain conditions. Therefore, the present study aimed to explore the neural correlates relating to the influence of visual masking emotional stimulation on the processing of painful stimuli in chronic pain patients suffering from fibromyalgia (FM). Twenty FM and 22 healthy control (HC) women participated in the study. The experimental masking paradigm consisted of a rapid succession of two types of stimuli, where a masked picture (neutral, negative or pain-related) was followed by a laser stimulus (painful or not painful). LEP activity was recorded at sixty scalp electrodes. An LEP-amplitude approach was used to quantify the main cerebral waves linked to pain response. ANOVAs indicated that the posterior regions of the P1 component were sensitive to experimental manipulation (p<0.05). Specifically, FM patients showed higher amplitudes to painful stimuli preceded by pain-related pictures compared with painful trials preceded by other emotional pictures. The FM group also showed greater amplitudes than those in the HC group in P2a and P2b waves. In addition to the scalp data, at the neural level the posterior cingulate cortex, lingual gyrus and insular cortex showed higher activation in the FM group than in the HC group. Our findings show an early cerebral modulation of pain (as reflected by the P1) in FM patients, suggesting that only pain-related information, even when it is unconsciously perceived, is capable to enhance exogenous (automatic) attention, increasing the neural activity involved in processing painful stimulation. Further research is needed to fully understand unconscious emotional influences on pain in fibromyalgia.

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“…Significant GM volume reduction in the lingual gyrus was reported in patients with major depressive disorder (Yang et al., 2015). Previous resting state functional MRI studies also observed the associations between the lingual gyrus and psychiatric symptoms such as depression, loneliness, and anxiety (Lan et al., 2015; Liu et al., 2015, 2017). Although psychiatric symptoms were not reported in the five included studies, they are common in SCA2 patients (Alves‐Cruzeiro, Mendonca, Pereira, Almeida, & Nobrega, 2016; Fancellu et al., 2013; Schmitz‐Hübsch et al., 2011).…”

Section: Discussionmentioning

confidence: 99%

Voxel‐based meta‐analysis of gray and white matter volume abnormalities in spinocerebellar ataxia type 2

et al. 2018

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ObjectiveTo identify the consistent findings from the whole‐brain voxel‐based morphometry (VBM) studies on spinocerebellar ataxia type 2 (SCA2).MethodsThe whole‐brain VBM studies comparing SCA2 patients and healthy controls (HCs) were systematically searched in PubMed, Embase databases from January 2000 to June 2017. The coordinates with significant differences in gray matter (GM) and white matter (WM) between SCA2 patients and HCs were extracted separately from each cluster. A meta‐analysis was performed using anisotropic effect size‐based signed differential mapping (AES‐SDM) software.ResultsA total of five studies with 65 SCA2 patients and 124 HCs were included in the GM meta‐analysis. Four of the five studies with 50 SCA2 patients and 109 HCs were included in the WM meta‐analysis. Significant and consistent GM volume reductions were detected in bilateral cerebellar hemispheres, cerebellar vermis, the right fusiform gyrus, the right parahippocampal gyrus, and the right lingual gyrus. The WM volume reductions were observed in bilateral cerebellar hemispheres, cerebellar vermis, middle cerebellar peduncles, pons, and bilateral cortico‐spinal projections. The findings of the study remained largely unchanged in jackknife sensitivity analysis.ConclusionsThe consistent findings from our meta‐analysis showed that GM volume reductions in SCA2 patients were not limited in cerebellum while significant WM volume reductions widely existed in cerebellum and pyramidal system. The findings provide morphological basis for further studies on SCA2.

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Decreased functional connectivity between the dorsal anterior cingulate cortex and lingual gyrus in Alzheimer's disease patients with depression

Cited by 60 publications

References 70 publications

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer’s Disease

Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer’s Disease

Subliminal emotional pictures are capable of modulating early cerebral responses to pain in fibromyalgia

Voxel‐based meta‐analysis of gray and white matter volume abnormalities in spinocerebellar ataxia type 2

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