scholarly journals Altered Default Mode Network Is Associated With Cognitive Impairment in CADASIL as Revealed by Multimodal Neuroimaging

2021 ◽  
Vol 12 ◽  
Author(s):  
Panlong Li ◽  
Qi Huang ◽  
Shiyu Ban ◽  
Yuan Qiao ◽  
Jing Wu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Gray Matter ◽  
Default Mode Network ◽  
Autosomal Dominant ◽  
Diffusion Tensor ◽  
Small Vessel Disease ◽  
Hippocampal Formation ◽  
Gray Matter Volume ◽  
Default Mode ◽  
Matter Volume

Background and Purpose: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy caused by mutations in the NOTCH3 gene is a hereditary cerebral small vessel disease, manifesting with stroke, cognitive impairment, and mood disturbances. Functional or structural changes in the default mode network (DMN), which plays important role in cognitive and mental maintenance, have been found in several neurological and mental diseases. However, it remains unclear whether DMN is altered in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL).Methods: Multimodal imaging methods, including MRI and positron emission tomography (PET), were applied to evaluate the functional, structural, and metabolic characteristics of DMN in 25 patients with CADASIL and 42 healthy controls.Results: Compared with controls, patients with CADASIL had decreased nodal efficiency and degree centrality of the dorsal medial pre-frontal cortex and hippocampal formation within DMN. Structural MRI and diffusion tensor imaging (DTI) showed decreased gray matter volume and fiber tracks presented in the bilateral hippocampal formation. Meanwhile, PET imaging showed decreased metabolism within the whole DMN in CADASIL. Furthermore, correlation analyses showed that these nodal characteristics, gray matter volume, and metabolic signals of DMN were related to cognitive scores in CADASIL.Conclusions: Our results suggested that altered network characteristics of DMN might play important roles in cognitive deficits of CADASIL.

scholarly journals Altered Default Mode Network Is Associated With Cognitive Impairment in Cadasil as Revealed by Multimodal Neuroimaging

2021 ◽  
Author(s):  
Panlong Li ◽  
Qi Huang ◽  
Shiyu Ban ◽  
Yuan Qiao ◽  
Jing Wu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Gray Matter ◽  
Default Mode Network ◽  
Structural Changes ◽  
Diffusion Tensor ◽  
Small Vessel Disease ◽  
Hippocampal Formation ◽  
Gray Matter Volume ◽  
Default Mode ◽  
Matter Volume

Abstract Background: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) caused by mutations in NOTCH3 gene is a hereditary cerebral small vessel disease, manifesting with stroke, cognitive impairment and mood disturbances. Functional or structural changes in the default mode network (DMN), which plays important roles in cognitive and mental maintenance, have been found in a number of neurological and mental diseases. However, it is still unclear whether DMN is altered in CADASIL patients.Methods: Multimodal imaging methods, including magnetic resonance imaging (MRI) and positron emission tomography (PET), were applied to evaluate the functional, structural and metabolic characteristics of DMN in 25 CADASIL patients and 42 healthy controls.Results: Compared to controls, CADASIL patients had decreased nodal efficiency and degree centrality of the dorsal medial prefrontal cortex and hippocampal formation within DMN. Structural MRI and diffusion tensor imaging (DTI) showed decreased gray matter volume and fiber tracks presented in the bilateral hippocampal formation. Meanwhile, PET imaging showed decreased metabolism within the whole DMN in CADASIL. Furthermore, correlation analyses showed that these nodal characteristics, gray matter volume, and metabolic signals of DMN were related to cognitive scores in CADASIL.Conclusions: Our results suggested that altered network characteristics of DMN may play important roles in cognitive deficits of CADASIL.

scholarly journals Reduced gray matter volume in the orbitofrontal cortex is associated with greater body mass index: a coordinate-based meta-analysis

2018 ◽  
Author(s):  
Eunice Y. Chen ◽  
Susan Murray ◽  
Tania Giovannetti ◽  
David V. Smith
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Gray Matter ◽  
Default Mode Network ◽  
Orbitofrontal Cortex ◽  
Meta Analysis ◽  
Gray Matter Volume ◽  
Default Mode ◽  
Matter Volume ◽  
The Right

AbstractMeta-analyses of neuroimaging studies have not found a clear relationship between the orbitofrontal cortex and obesity, despite animal and human studies suggesting the contrary. Our primary meta-analysis examined what regions are associated with reduced gray matter volume, given increased body mass index. We identified 23 voxel-based morphometry studies examining the association between gray matter volume and body mass index. In a sample of 6,788 participants, we found that greater body mass index is associated with decreased gray matter volume in the right Brodmanns’ area 10 and 11, forming part of the right orbitofrontal cortex (FWE, p=0.05). Use of Brodmanns’ areas 10 and 11 as seeds in a Neurosynth network coactivation and text decoding analysis revealed that these regions are associated with studies of emotional regulation and processing, clinical symptoms and disorder, ‘mentalizing’ and social cognition, and the Default mode network. Our finding uniquely contributes to the literature in showing a relationship between the orbitofrontal cortex and obesity and showing the wide-ranging impact these differences may have on social, mental, and emotional functioning as well as on the Default mode network. Exploratory analyses suggest the need for studies examining the effect of age on these findings.

Identification of the Neural Circuit Underlying Episodic Memory Deficit in Amnestic Mild Cognitive Impairment via Machine Learning on Gray Matter Volume

2021 ◽  
pp. 1-6
Author(s):  
Zan Wang ◽  
Zhengsheng Zhang ◽  
Chunming Xie ◽  
Hao Shu ◽  
Duan Liu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Episodic Memory ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Memory Deficit ◽  
Amnestic Mild Cognitive Impairment ◽  
Default Mode ◽  
Matter Volume ◽  
Limbic Systems

Based on whole-brain gray matter volume (GMV), we used relevance vector regression to predict the Rey’s Auditory Verbal Learning Test Delayed Recall (AVLT-DR) scores of individual amnestic mild cognitive impairment (aMCI) patient. The whole-brain GMV pattern could significantly predict the AVLT-DR scores (r = 0.54, p < 0.001). The most important GMV features mainly involved default-mode (e.g., posterior cingulate gyrus, angular gyrus, and middle temporal gyrus) and limbic systems (e.g., hippocampus and parahippocampal gyrus). Therefore, our results provide evidence supporting the idea that the episodic memory deficit in aMCI patients is associated with disruption of the default-mode and limbic systems.

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