4.6 Article

Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimer's disease

Journal

BRAIN STRUCTURE & FUNCTION
Volume 220, Issue 2, Pages 745-762

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00429-013-0681-9

Keywords

Supramarginal gyrus; Angular gyrus; Network; fMRI; Alzheimer disease

Funding

  1. Natural Science Foundation of China [81030028, 81000606, 81370037]
  2. Beijing Natural Science Foundation [Z111107067311036, Z101107052210002]
  3. National Science Fund for Distinguished Young Scholars [81225012]

Ask authors/readers for more resources

Recent research on Alzheimer's disease (AD) has shown that the altered structure and function of the inferior parietal lobule (IPL) provides a promising indicator of AD. However, little is known about the functional connectivity of the IPL subregions in AD subjects. In this study, we collected resting-state functional magnetic resonance imaging data from 32 AD patients and 38 healthy controls. We defined seven subregions of the IPL according to probabilistic cytoarchitectonic atlases and mapped the whole-brain resting-state functional connectivity for each subregion. Using hierarchical clustering analysis, we identified three distinct functional connectivity patterns of the IPL subregions: the anterior IPL connected with the sensorimotor network (SMN) and salience network (SN); the central IPL had connectivity with the executive-control network (ECN); and the posterior IPL exhibited connections with the default-mode network (DMN). Compared with the controls, the AD patients demonstrated distinct disruptive patterns of the IPL subregional connectivity with these different networks (SMN, SN, ECN and DMN), which suggests the impairment of the functional integration in the IPL. Notably, we also observed that the IPL subregions showed increased connectivity with the posterior part of the DMN in AD patients, which potentially indicates a compensatory mechanism. Finally, these abnormal IPL functional connectivity changes were closely associated with cognitive performance. Collectively, we show that the subregions of the IPL present distinct functional connectivity patterns with various functional networks that are differentially impaired in AD patients. Our results also suggest that functional disconnection and compensation in the IPL may coexist in AD.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

Alterations in Connectome Dynamics in Autism Spectrum Disorder: A Harmonized Mega- and Meta-analysis Study Using the Autism Brain Imaging Data Exchange Dataset

Yapei Xie, Zhilei Xu, Mingrui Xia, Jin Liu, Xiaojing Shou, Zaixu Cui, Xuhong Liao, Yong He

Summary: This study uncovers consistent alterations in brain network dynamics in individuals with Autism Spectrum Disorder (ASD) and identifies transcriptomic signatures associated with these changes, providing further insights into the biological basis of this disorder.

BIOLOGICAL PSYCHIATRY (2022)

Article Neurosciences

The SACT Template: A Human Brain Diffusion Tensor Template for School-age Children

Congying Chu, Haoran Guan, Sangma Xie, Yanpei Wang, Jie Luo, Gai Zhao, Zhiying Pan, Mingming Hu, Weiwei Men, Shuping Tan, Jia-Hong Gao, Shaozheng Qin, Yong He, Lingzhong Fan, Qi Dong, Sha Tao

Summary: School-age children often undergo ongoing brain development. Diffusion tensor imaging is commonly used to assess white matter properties during this period. However, there is a lack of standardized diffusion tensor templates for school-age children. In this study, researchers established the school-age children diffusion tensor (SACT) template and found that it showed higher spatial normalization accuracy and inter-subject coherence compared to adult templates. The SACT template could contribute to future studies on white matter development.

NEUROSCIENCE BULLETIN (2022)

Article Multidisciplinary Sciences

Development of functional connectome gradients during childhood and adolescence

Yunman Xia, Mingrui Xia, Jin Liu, Xuhong Liao, Tianyuan Lei, Xinyu Liang, Tengda Zhao, Ziyi Shi, Lianglong Sun, Xiaodan Chen, Weiwei Men, Yanpei Wang, Zhiying Pan, Jie Luo, Siya Peng, Menglu Chen, Lei Hao, Shuping Tan, Jia-Hong Gao, Shaozheng Qin, Gaolang Gong, Sha Tao, Qi Dong, Yong He

Summary: This study utilizes longitudinal functional magnetic resonance imaging data to uncover significant changes in the primary-to-transmodal gradient in the brain network during childhood to adolescence. These gradient changes are linked to cognitive growth, topological reorganization, and gene expression profiles.

SCIENCE BULLETIN (2022)

Article Neuroimaging

Altered topological properties of the intrinsic functional brain network in patients with right-sided unilateral hearing loss caused by acoustic neuroma

Zhiyuan Fan, Zhen Fan, Tianming Qiu, Liuxun Hu, Yuan Shi, Yunman Xia, Xiaoyi Sun, Yingjun Liu, Sichen Li, Mingrui Xia, Wei Zhu

Summary: The study found that there are differences in the topological organization of functional brain connectomes between patients with right-sided unilateral hearing loss (RUHL) and left-sided unilateral hearing loss (LUHL), indicating different pathophysiological mechanisms between the two conditions.

BRAIN IMAGING AND BEHAVIOR (2022)

Article Neurosciences

Highly connected and highly variable: A Core brain network during resting state supports Propofol-induced unconsciousness

Siyang Li, Yali Chen, Peng Ren, Zhipeng Li, Jun Zhang, Xia Liang

Summary: This study conducted graph-theoretical analyses on resting-state fMRI data to search for the neural correlates of consciousness (NCC) candidates. The results found these regions to be located in the prefrontal and temporoparietal cortices and related to the sustained existence of conscious content. The study also revealed two recurring brain states, one dominated by NCC regions and the other primarily composed of sensory/motor regions. Additionally, the study found that NCC was modulated by the loss of consciousness induced by propofol anesthesia.

HUMAN BRAIN MAPPING (2023)

Article Oncology

New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction

Hongbo Bao, Peng Ren, Liye Yi, Zhonghua Lv, Wencai Ding, Chenlong Li, Siyang Li, Zhipeng Li, Xue Yang, Xia Liang, Peng Liang

Summary: Increasing evidence suggests that the location of gliomas is associated with their cellular origin, molecular alterations, and genetic profile. This research aimed to elucidate the mechanisms underlying the tumor location preference in glioblastoma multiforme (GBM) and lower-grade glioma (LGG), and to use glioma location features to predict prognosis. MRI images from patients with GBM and LGG were analyzed, and the correlation between glioma distribution and gene expression in healthy brains was investigated. Transcriptomic differences in tumor tissue from preferred and non-preferred sites were also evaluated. Additionally, tumor anatomical localization was quantitatively characterized, and its relationship with overall survival was explored. Finally, a support vector machine was employed to build a survival prediction model for GBM patients. The findings revealed distinct location preferences for GBMs and LGGs, and identified specific gene activation patterns and anatomical distance metrics that could predict GBM 1-year survival status. These results provide new insights into tumor anatomical localization and have important implications for individualized therapy and prognosis prediction.

INTERNATIONAL JOURNAL OF CANCER (2023)

Editorial Material Neurosciences

Unraveling Circuit Mechanisms of Depression Remission and Relapse Vulnerability

Mingrui Xia, Yong He

BIOLOGICAL PSYCHIATRY (2023)

Article Neurosciences

3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images

Zilong Zeng, Tengda Zhao, Lianglong Sun, Yihe Zhang, Mingrui Xia, Xuhong Liao, Jiaying Zhang, Dinggang Shen, Li Wang, Yong He

Summary: In this study, a new 3D mixed-scale asymmetric convolutional segmentation network (3D-MASNet) was proposed for tissue segmentation of 6-month-old infant brain MRI images. Compared to traditional single-scale symmetric convolutions, this approach demonstrated better accuracy and achieved the best performance in the evaluation.

HUMAN BRAIN MAPPING (2023)

Article Neurosciences

Regional transcriptional vulnerability to basal forebrain functional dysconnectivity in mild cognitive impairment patients

Peng Ren, Wencai Ding, Siyang Li, Guiyou Liu, Meng Luo, Wenyang Zhou, Rui Cheng, Yiqun Li, Pingping Wang, Zhipeng Li, Lifen Yao, Qinghua Jiang, Xia Liang, Alzheimers Dis Neuroimaging Initiat

Summary: The study investigates the functional dysconnectivity of the nucleus basalis of Meynert (NbM) in Alzheimer's disease (AD) and its transcriptional correlates. The results reveal that NbM dysconnectivity is associated with specific gene expression abnormalities related to protein and immune functions, cholinergic receptors, immune, vascular and energy metabolism functions. These dysconnectivity-correlated gene sets contribute to preclinical amyloid-beta change and MCI onset age, highlighting their potential role in the early pathology of AD.

NEUROBIOLOGY OF DISEASE (2023)

Article Clinical Neurology

Frequency-resolved connectome alterations in major depressive disorder: A multisite resting fMRI study

Lei Wang, Qing Ma, Xiaoyi Sun, Zhilei Xu, Jiaying Zhang, Xuhong Liao, Xiaoqin Wang, Dongtao Wei, Yuan Chen, Bangshan Liu, Chu-Chung Huang, Yanting Zheng, Yankun Wu, Taolin Chen, Yuqi Cheng, Xiufeng Xu, Qiyong Gong, Tianmei Si, Shijun Qiu, Ching-Po Lin, Jingliang Cheng, Yanqing Tang, Fei Wang, Jiang Qiu, Peng Xie, Lingjiang Li, Yong He, Mingrui Xia, Yihe Zhang

Summary: This study conducted frequency-resolved connectome analysis on a large sample of MDD patients and healthy controls, revealing significant frequency-dependent connectome alterations in MDD. These alterations mainly occur in the left parietal, temporal, precentral, and fusiform cortices, as well as bilateral precuneus. Additionally, the connectome alteration in the high frequency band (0.16-0.24 Hz) is significantly associated with illness duration.

JOURNAL OF AFFECTIVE DISORDERS (2023)

Article Clinical Neurology

Association of cortical and subcortical microstructure with disease severity: impact on cognitive decline and language impairments in frontotemporal lobar degeneration

Wencai C. Ding, Peng Ren, Liye Yi, Yao F. Si, Fan L. Yang, Zhipeng Li, Hongbo L. Bao, Shi W. Yan, Xinyu Zhang, Siyang Li, Xia Liang, Lifen Yao

Summary: This study investigated cortical and subcortical microstructural changes in frontotemporal lobar degeneration (FTLD) subtypes, finding that patients with FTLD showed alterations in cortical mean diffusivity and cortical thinning. Anomalies in subcortical white matter diffusion were widely distributed across the frontotemporal and parietal areas. Different patterns of cortical and subcortical microstructural abnormalities were observed in the different FTLD subtypes, which correlated with disease severity and language functions.

ALZHEIMERS RESEARCH & THERAPY (2023)

Article Neurosciences

Common and distinct roles of amygdala subregional functional connectivity in non-motor symptoms of Parkinson's disease

Junling Wang, Lianglong Sun, Lili Chen, Junyan Sun, Yapei Xie, Dezheng Tian, Linlin Gao, Dongling Zhang, Mingrui Xia, Tao Wu

Summary: Neuroimaging studies have shown that dysfunction of the amygdala plays a crucial role in the non-motor symptoms of Parkinson's disease. However, the specific relationship between amygdala subregions and these symptoms has not been well-defined. Using resting-state functional MRI, researchers found that the amygdala subregions in Parkinson's disease exhibited altered functional connectivity, particularly with the frontal, temporal, insular cortex, and putamen. Each subregion also displayed distinct hypoconnectivity with different limbic systems, and this hypoconnectivity was associated with various non-motor symptoms such as emotion, pain, olfaction, cognition, and sleepiness. These findings provide new insights into the pathogenesis of non-motor symptoms in Parkinson's disease.

NPJ PARKINSONS DISEASE (2023)

Correction Neurosciences

Common and distinct roles of amygdala subregional functional connectivity in non-motor symptoms of Parkinson's disease (vol 9, 58, 2023)

Junling Wang, Lianglong Sun, Lili Chen, Junyan Sun, Yapei Xie, Dezheng Tian, Linlin Gao, Dongling Zhang, Mingrui Xia, Tao Wu

NPJ PARKINSONS DISEASE (2023)

Article Neurosciences

Removal of site effects and enhancement of signal using dual projection independent component analysis for pooling multi-site MRI data

Yuxing Hao, Huashuai Xu, Mingrui Xia, Chenwei Yan, Yunge Zhang, Dongyue Zhou, Tommi Karkkainen, Lisa D. Nickerson, Huanjie Li, Fengyu Cong

Summary: This study proposes an effective and powerful harmonisation strategy based on dual-projection (DP) theory of independent component analysis (ICA) to remove scanner/site effects while preserving signals of interest. The method shows superior performance compared to GLM-based and conventional ICA harmonisation methods in both simulation and real datasets.

EUROPEAN JOURNAL OF NEUROSCIENCE (2023)

No Data Available