A Triple-Network Dynamic Connection Study in Alzheimer's Disease

Meng, Xianglian; Wu, Yue; Liang, Yan‐Feng; Zhang, Dongdong; Xu, Zhe; Xiong, Yang; Li, Meng

doi:10.3389/fpsyt.2022.862958

Cited by 10 publications

(9 citation statements)

References 54 publications

(49 reference statements)

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“…This is a consistent finding, with altered DMN-CEN connectivity in schizophrenia (Manoliu et al, 2013a), major depressive disorder (Manoliu et al, in review), Alzheimer's disease (Meng et al, 2022), and bipolar disorder (Wang et al, 2020). Dynamic changes in network interactions also occur in schizophrenia (Supekar et al, 2019) and Alzheimer's disease (Meng et al, 2022). Crucially, insular dysfunction correlates with aberrant DMN-CEN interactions in schizophrenia and major depressive disorder (Manoliu et al, 2013a;Manoliu et al, in review), directly linking SN abnormalities to impaired cross-network coordination.…”

Section: Network Interactions and Psychopathologysupporting

confidence: 75%

“…Critically, the triple network model proposes aberrant SN dysfunction disrupts normal interactions between the DMN and CEN. This is a consistent finding, with altered DMN-CEN connectivity in schizophrenia (Manoliu et al, 2013a), major depressive disorder (Manoliu et al, in review), Alzheimer's disease (Meng et al, 2022), and bipolar disorder (Wang et al, 2020). Dynamic changes in network interactions also occur in schizophrenia (Supekar et al, 2019) and Alzheimer's disease (Meng et al, 2022).…”

Section: Network Interactions and Psychopathologysupporting

confidence: 65%

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Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective

Bralić

2023

Preprint

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Neural correlates of hypnosis remain incompletely characterized despite recognition of its clinical utility. Examining functional connectivity changes in large-scale brain networks during hypnosis can provide insights into cognitive control, dissociation, and self-awareness. This study aimed to review fMRI studies of hypnosis, qualitatively synthesize evidence regarding its impact on brain network connectivity, and offer recommendations for future research by identifying inconsistencies in existing literature and methodology. PubMed, PsycINFO, Scopus and Web of Science and other databases were searched for fMRI studies on hypnosis. Peer-reviewed articles written in English were screened against eligibility criteria. 35 experimental studies met inclusion criteria (n=689 participants). The review found heterogeneous effects on network connectivity during hypnosis, with both increased and decreased connectivity reported depending on suggestions used. Evidence indicates potential therapeutic effects for pain and anxiety, but overall direct clinical support was limited. Preliminary findings suggest hypnosis impacts connectivity between salience/executive control networks, enhancing top-down regulation of interoception and affect. Reduced connectivity was reported within default mode regions involved in internal mentation like the posterior cingulate cortex and precuneus. While the literature exhibits variability in protocols and results, findings indicate that hypnosis exerts top-down influence on internal mentation, attentional control, and emotional processing through altering functional interactions between cortical and subcortical brain regions. Inconsistencies arising from methodological variations and study heterogenity constrain definitive conclusions. Addressing these limitations through standardized protocols and comparisons based on universal large scale brain network taxonomy would strengthen the evidence for neural signature of hypnosis and enhance its applicability in various contexts.

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Section: Network Interactions and Psychopathologysupporting

confidence: 75%

Section: Network Interactions and Psychopathologysupporting

confidence: 65%

Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective

Bralić

2023

Preprint

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“…The spatial ICA can identify spatially separated but functionally synergistic intrinsic connectivity networks. With advances in image analysis technology, dynamic functional network connectivity (dFNC) analysis based on group ICA has been extensively employed to study neurological and psychiatric illnesses, such as Parkinson's disease (PD) (Fiorenzato et al, 2019), Alzheimer's disease (AD) (Meng et al, 2022), epilepsy (Liu et al, 2017), schizophrenia (Yang et al, 2022), and depressive disorder (Demirtaş et al, 2016). The dFNC analysis provides additional neuroimaging metrics and time property information, including state analysis (temporal features and FC strength) and topological organization variance, which cannot be obtained from static functional network connectivity (FNC) (Fu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Altered dynamic functional network connectivity and topological organization variance in patients with white matter hyperintensities

Huang,

Zhou,

Ren

et al. 2023

J of Neuroscience Research

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White matter hyperintensities (WMHs) of presumed vascular origin are important imaging biomarkers of cerebral small vessel disease (CSVD). Previous studies have verified abnormal functional brain networks in CSVD. However, most of these studies rely on static functional connectivity, and only a few focus on the varying severity of the WMHs. Hence, our study primarily explored the disrupted dynamic functional network connectivity (dFNC) and topological organization variance in patients with WMHs. This study included 38 patients with moderate WMHs, 47 with severe WMHs, and 68 healthy controls (HCs). Ten independent components were chosen using independent component analysis based on resting‐state functional magnetic resonance imaging. The dFNC of each participant was estimated using sliding windows and k‐means clustering. We identified three reproducible dFNC states. Among them, patients with WMHs had a significantly higher occurrence in the sparsely connected State 1, but a lower occurrence and shorter duration in the positive and stronger connected State 3. Regarding topological organization variance, patients with WMHs showed higher variance in local efficiency but not global efficiency compared to HCs. Among the WMH subgroups, patients with severe WMHs showed similar but more obvious alterations than those with moderate WMHs. These altered network characteristics indicated an imbalance between the functional segregation and integration of brain networks, which was correlated with global cognition, memory, executive functions, and visuospatial abilities. Our study confirmed aberrant dFNC state metrics and topological organization variance in patients with moderate‐to‐severe WMHs; thus, it might provide a new pathway for exploring the pathogenesis of cognitive impairment.

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“…The SN is part of an integral mediation hub that affects dynamic interactions between the DMN and CEN networks. Numerous studies have demonstrated that altered triple-network models (DMN, SN, and CEN) are the prominent hallmarks of both AD and MCI ( Meng et al, 2022 ). Further, multiple neuroimaging trials have suggested that regulating the activities of triple-network models is a key mechanism by which acupuncture therapy affects brain functioning ( Bai et al, 2009 ; Deng et al, 2016 ; Wang et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Acupuncture on mild cognitive impairment: A systematic review of neuroimaging studies

Yin

Zhou

Xia

et al. 2023

Front. Aging Neurosci.

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Mild cognitive impairment (MCI) is a multifactorial and complex central neurodegenerative disease. Acupuncture appears to be an effective method for cognitive function improvement in MCI patients. Neural plasticity remaining in the MCI brain implies that acupuncture-associated benefits may not be limited to the cognitive function. Instead, neurological alternations in the brain play a vital role in corresponding to the cognitive improvement. However, previous studies have mainly focused on the effects of cognitive function, leaving neurological findings relatively unclear. This systematic review summarized existing studies that used various brain imaging techniques to explore the neurological effect regarding acupuncture use for MCI treatment. Potential neuroimaging trials were searched, collected, and identified independently by two researchers. Four Chinese databases, four English databases, and additional sources were searched to identify studies reporting the use of acupuncture for MCI from the inception of databases until 1 June 2022. Methodological quality was appraised using the Cochrane risk-of-bias tool. In addition, general, methodological, and brain neuroimaging information was extracted and summarized to investigate the potential neural mechanisms by which acupuncture affects patients with MCI. In total, 22 studies involving 647 participants were included. The methodological quality of the included studies was moderate to high. The methods used included functional magnetic resonance imaging, diffusion tensor imaging, functional near-infrared spectroscopy, and magnetic resonance spectroscopy. Acupuncture-induced brain alterations observed in those patients with MCI tended to be observable in the cingulate cortex, prefrontal cortex, and hippocampus. The effect of acupuncture on MCI may play a role in regulating the default mode network, central executive network, and salience network. Based on these studies, researchers could extend the recent research focus from the cognitive domain to the neurological level. Future researches should develop additional relevant, well-designed, high-quality, and multimodal neuroimaging researches to detect the effects of acupuncture on the brains of MCI patients.

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A Triple-Network Dynamic Connection Study in Alzheimer's Disease

Cited by 10 publications

References 54 publications

Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective

Neuroimaging Evidence for Clinical Hypnosis and its Relationship with the Triple Network Model of Psychopathology: An fMRI Perspective

Altered dynamic functional network connectivity and topological organization variance in patients with white matter hyperintensities

Acupuncture on mild cognitive impairment: A systematic review of neuroimaging studies

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