Reconfigured metabolism brain network in asymptomatic Creutzfeldt-Jakob disease.

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Investigating brain metabolic networks is crucial for understanding the pathogenesis and functional alterations in Creutzfeldt-Jakob disease (CJD). However, studies on presymptomatic individuals remain limited. This study aimed to examine metabolic network topology reconfiguration in asymptomatic carriers of the PRNP G114V mutation. Seven asymptomatic PRNP G114V mutation carriers from a familial genetic CJD (gCJD) cohort, 43 CJD patients, and 35 healthy controls were included. All participants underwent neuropsychological assessments, genetic testing, and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/MRI scans. Voxel-based gray matter volume and FDG PET standardized uptake value ratios (SUVRs) were analyzed between asymptomatic PRNP G114V mutation carriers and healthy controls and between CJD patients and controls. Graph theory and sparse inverse covariance estimation (SICE) were used to assess the whole-brain metabolic connectomes and topological properties. Spatial independent component analysis (ICA) was used to evaluate subnetworks, including the default mode network (DMN), salience network (SN), and central executive network (CEN). With respect to global properties, assortativity was significantly increased in asymptomatic carriers, which was consistent with the findings in CJD patients. We revealed lost hubs in the right anterior cingulate, left ventral prefrontal lobe, left parahippocampal gyrus, and left lingual gyrus and reconfigured hubs in prefrontal lobes, including right ventromedial prefrontal cortex, right anterior prefrontal cortex, and right middle frontal gyrus of the orbit in asymptomatic carriers compared with healthy controls, which overlapped with the comparisons between CJD patients and controls. Alterations in the local parameters and metabolic connectivity in the left parahippocampal gyrus were most pronounced. Among the subnetworks, asymptomatic carriers presented higher assortativity and lower hierarchy in the SN, whereas the global parameters of the DMN and CEN were not significantly altered. The DMN and SN showed partial hypoconnectivity and hyperconnectivity, whereas the CEN mainly showed significantly enhanced connectivity in asymptomatic PRNP carriers. This study revealed altered brain metabolic topology and connectomics in asymptomatic PRNP G114V mutation carriers, which could be detected before gray matter or regional metabolic changes, suggesting that metabolism topology reconfiguration may serve as a sensitive imaging biomarker for investigating early CJD pathological changes.

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  • 10.1002/alz.062366
Reconfigured metabolism brain network in asymptomatic microtubule‐associated protein tau mutation carriers: A graph‐theoretical analysis
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  • Alzheimer's & Dementia
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BackgroundStudies exploring topologic properties of the metabolic network in the presymptomatic stage of genetic frontotemporal dementia (FTD) are scarce, which may be important for understanding brain function and disease pathogenesis. This study aimed to explore FTD‐specific patterns of metabolism topology reconfiguration in asymptomatic microtubule‐associated protein tau (MAPT) mutation carriers.MethodSix asymptomatic carriers of MAPT P301L mutation were compared with 12 non‐carriers who were all from the same large family of FTD. For comparison, we included 32 behavioral‐variant FTD (bvFTD) patients and 33 unrelated healthy controls. Each participant underwent neuropsychological assessments, genetic testing, and hybrid PET/MRI scan. Voxel‐wise gray matter volume and standardized uptake value ratio were calculated and compared for structural MRI and FDG‐PET, separately. The sparse inverse covariance estimation (SICE) method was applied to topologic properties and metabolic connectomes of brain functional networks derived from 18F‐fluorodeoxyglucose PET/MRI data. Independent component analysis was used to explore metabolic connectivity in the salience (SN) and default mode networks (DMN).ResultThe mean estimated years from symptom onset was 8.33 ± 1.875 years in the mutation carrier group. The asymptomatic MAPT carriers show no significant differences in cognitive tests, gray matter volume and FDG uptake compared to non‐carriers. They also retained normal global parameters of metabolism network, but not for bvFTD patients. However, we revealed lost hubs in the ventromedial prefrontal, orbitofrontal, and anterior cingulate cortices and reconfigured hubs in the anterior insula, precuneus, and posterior cingulate cortex in asymptomatic carriers, which is consistent with the findings in bvFTD patients. Similarly, significant differences in local parameters of these nodes were observed in asymptomatic carriers. The reduction in connectivity was marked in lost hub regions during the asymptomatic stage. Functional connectivity within the SN and DMN was enhanced in asymptomatic carriers, while reduced in bvFTD patients.ConclusionOur findings showed that asymptomatic MAPT carriers were initially involved in medial prefrontal areas and actively compensated in task‐related regions. Topologic properties of the metabolic network may contribute to further investigations and monitoring of the earliest stages of FTD in individuals with genetic backgrounds.

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  • Cite Count Icon 9
  • 10.1186/s13195-022-01000-z
Reconfigured metabolism brain network in asymptomatic microtubule-associated protein tau mutation carriers: a graph theoretical analysis
  • Apr 11, 2022
  • Alzheimer's Research & Therapy
  • Li Liu + 11 more

BackgroundStudies exploring topological properties of the metabolic network during the presymptomatic stage of genetic frontotemporal dementia (FTD) are scarce. However, such knowledge is important for understanding brain function and disease pathogenesis. Therefore, we aimed to explore FTD-specific patterns of metabolism topology reconfiguration in microtubule-associated protein tau (MAPT) mutation carriers before the onset of symptoms.MethodsSix asymptomatic carriers of the MAPT P301L mutation were compared with 12 non-carriers who all belonged to the same family of FTD. For comparison, we included 32 behavioral variant FTD (bvFTD) patients and 33 unrelated healthy controls. Each participant underwent neuropsychological assessments, genetic testing, and a hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI) scan. Voxel-wise gray matter volumes and standardized uptake value ratios were calculated and compared for structural MRI and fluorodeoxyglucose (FDG)-PET, separately. The sparse inverse covariance estimation method (SICE) was applied to topological properties and metabolic connectomes of brain functional networks derived from 18F-FDG PET/MRI data. Independent component analysis was used to explore the metabolic connectivity of the salience (SN) and default mode networks (DMN).ResultsThe asymptomatic MAPT carriers performed normal global parameters of the metabolism network, whereas bvFTD patients did not. However, we revealed lost hubs in the ventromedial prefrontal, orbitofrontal, and anterior cingulate cortices and reconfigured hubs in the anterior insula, precuneus, and posterior cingulate cortex in asymptomatic carriers compared with non-carriers, which overlapped with the comparisons between bvFTD patients and controls. Similarly, significant differences in local parameters of these nodes were present between asymptomatic carriers and non-carriers. The reduction in the connectivity of lost hub regions and the enhancement of connectivity between reconfigured hubs and components of the frontal cortex were marked during the asymptomatic stage. Metabolic connectivity within the SN and DMN was enhanced in asymptomatic carriers compared with non-mutation carriers but reduced in bvFTD patients relative to controls.ConclusionsOur findings showed that metabolism topology reconfiguration, characterized by the earliest involvement of medial prefrontal areas and active compensation in task-related regions, was present in the presymptomatic phase of genetic FTD with MAPT mutation, which may be used as an imaging biomarker of increased risk of FTD.

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Aberrant functional connectivity within and across the default mode, central-executive, and salience network in patients with schizophrenia: a resting-state functional magnetic resonance imaging study
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Objective To explore the neural profile of functional connectivity of default mode network (DMN), central-executive network(CEN) , and salience network (SN) in patients with schizophrenia during a resting-state functional magnetic resonance imaging(rs-fMRI). Methods The SPM8, DPARSFA, CONN softwares combined with data-driven region of interest (ROI) analysis were used to investigate functional connectivity (FC) of the DMN, CEN, and SN in 74 patients with schizophrenia (SZ) and 79 age-and gender-matched normal controls (NC). Medial prefrontal cortex (MPFC) was selected as seed region for identifying the DMN and CEN while right anterior insula (rAI) for the SN. Voxel-wise functional connectivity analyses were performed between MPFC and rAI while pair-wise functional connectivity analyses were conducted across DMN, CEN, and SN. Results Concerning the MPFC, SZ showed increased functional connectivity, comparing with NC, with bilateral dorsolateral prefrontal cortex (left: - 0.02 ± 0.18 vs. - 0.12±0.12, t=4.25, P<0.01; right: -0.02±0.11 vs. -0.10±0.10,t=5.40,P<0.01) and bilateral putamen (left: 0.14± 0.12 vs. 0.04±0.10,t=5.03,P<0.01; right: 0.13±0.11 vs. 0.03±0.98, t=4.96,P<0.01). With regard to rAI, increased functional connectivity between rAI and left middle frontal cortex (-0.05±0.17 vs. -0.07±0.17,t= 4.60,P<0.01) and between rAI and precuneus/posterior cingulate cortex (0.01±0.13 vs. -0.09±0.14,t=4.01, P<0.01) were found in SZ comparison to NC (gaussian random field thaeory-corrected; voxel level P<0.01, cluster level P<0.05). Additionally, SZ also showed enhanced interconnectivity strengths of DMN-CEN and DMN-SN (Bonferroni-corrected, P<0.05). Furthermore, partial correlation analyses showed that the increased functional connectivity between rAI and precuneus/posterior cingulate cortex was significantly correlated with PANSS-positve symptoms (r=0.232,P=0.025). Positive relationships were found between the duration of illness and functional connectivity between rAI and left middle frontal cortex (r=0.288, P=0.007) and between rAI and precuneus/posterior cingulate cortex (r=0.196, P=0.049). Conclusions This study provides evidence for resting state functional connectivity abnormalities of DMN, CEN, and SN in patients with schizophrenia. These aberrant functional connectivities between some key brain regions of three networks may be responsible for certain schizophrenic symptoms, which could contribute to exploring the pathophysiological mechanisms of schizophrenia. Key words: Schizophrenia; Magnetic resonance imaging; Default mode network; Central-executive network; Salience network; Functional connectivity

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A longitudinal 18F‐FDG PET study in asymptomatic stage of genetic Creutzfeldt–Jakob disease
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  • Alzheimer's &amp; Dementia
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BackgroundPathogenic prion protein may start to deposit in some brain regions and cause functional alterations in the asymptomatic stages in Creutzfeldt–Jakob disease patients. However, the disease trajectory of Creutzfeldt–Jakob disease in the asymptomatic stage and when and where the degenerative process begins are still not clear.MethodsAt baseline, we enrolled five asymptomatic mutation carriers, six affected genetic Creutzfeldt–Jakob diseasepatients, and 23 healthy controls from whom 18F fluorodeoxyglucose‐positron emission tomography, clinical, and neuropsychological measures were acquired. Only five asymptomatic mutation carriers had completed longitudinal follow‐up. We set three‐time points to identify the changing trajectory in asymptomatic carriers group including baseline, 2‐year and 4‐year follow‐up.ResultsAt baseline, the cerebral glucose metabolic rate, measured as the standardized uptake value rate ratio, clinical and neuropsychological scales in all 5 asymptomatic cases were normal. In the 4‐years follow‐up, hypometabolic brain regions in asymptomatic genetic Creutzfeldt–Jakob disease group were found in the insula, frontal, parietal, and temporal lobes (false discovery rate corrected p&lt;0.01). The standardized uptake value rate ratio changing trajectories of all asymptomatic cases were within the range between the healthy controls and affected patients. Notably, the metabolism values of one asymptomatic individual whose baseline age was older than the expected age of onset showed a rapid decline and approached the mean value of genetic Creutzfeldt–Jakob disease condition at the last follow‐up.ConclusionOur study illustrates that neurodegenerative process associated with genetic Creutzfeldt–Jakob disease may involve the insula, frontal, temporal, and parietal lobes before clinical presentation of the disease, and the decline will accelerate when close to the expected age of onset. Although there are no effective means to cure this fatal disease, the time interval before clinical disease onset may aid important trials or therapies intended to slow or halt the disease process.

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  • 10.1093/brain/119.6.2085
Striatal glucose metabolism and dopamine D2 receptor binding in asymptomatic gene carriers and patients with Huntington's disease.
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  • A Antonini + 10 more

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  • Jaeun Ahn + 3 more

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Associations between basal forebrain volume and cognitive decline in GBA and LRRK2 mutation carriers from asymptomatic stages to Parkinson’s disease
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  • Julia Schumacher + 2 more

BackgroundIn people with Parkinson’s disease (PD), mutations in GBA and LRRK2 are associated with different clinical phenotypes which might be related to differential involvement of the cholinergic system. We aimed to investigate cholinergic basal forebrain (cBF) volume in asymptomatic and symptomatic mutation carriers in comparison to idiopathic PD and healthy controls and associations with cognitive decline.MethodThis study included 149 asymptomatic GBA and 169 asymptomatic LRRK2 mutation carriers, 112 LRRK2 carriers and 60 GBA carriers with PD, 492 idiopathic PD, and 180 healthy controls from the Parkinson’s Progression Markers Initiative (PPMI). cBF volumes were extracted using an established automated MRI volumetry approach based on a stereotactic atlas (Figure 1A). We also estimated hippocampal volumes as a control analysis. Bayesian ANCOVAs were used to compare volumes between (1) asymptomatic carriers and controls including covariates for age, sex, and years of education and (2) mutation carriers with PD and idiopathic PD with an additional covariate for disease duration.ResultWe found evidence for an increase in cBF volume in asymptomatic GBA (Bayes Factor against the null hypothesis (BF10)=75.2) and LRRK2 mutation carriers (BF10=57.0) compared to controls and for no group differences between the two mutation groups (BF10=0.17) (Figure 1B). At the PD stage, cBF volumes were increased in LRRK2 compared to GBA mutation carriers (BF10=14.5) and idiopathic PD (BF10=3.6*107), with no difference between idiopathic PD and PD‐GBA (BF10=0.25). Whole‐brain voxelwise comparisons confirmed that increased volume in asymptomatic mutation carriers was mainly found in the region of the cBF (Figure 1C). There were no group differences in hippocampal volume (Figure 1B).Over five years, idiopathic PD and PD‐GBA declined across all cognitive domains whereas the PD‐LRRK2 group only declined in processing speed. Linear mixed models revealed a significant interaction between cBF volume and time in predicting multiple cognitive domains in idiopathic PD and PD‐GBA, but not in PD‐LRRK2.ConclusionWhile LRRK2 and GBA mutations are both associated with increased cBF volume at the asymptomatic stage, at the PD stage this increase persists only in LRRK2 carriers and might be related to the slower rate of cognitive decline in these patients.

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  • Cite Count Icon 5
  • 10.1089/brain.2023.0054
Dysregulated Salience Network Control over Default-Mode and Central-Executive Networks in Schizophrenia Revealed Using Stochastic Dynamical Causal Modeling.
  • Feb 1, 2024
  • Brain connectivity
  • Deepa S Thakuri + 3 more

Introduction: Neuroimaging studies suggest that the human brain consists of intrinsically organized, large-scale neural networks. Among these networks, the interplay among the default-mode network (DMN), salience network (SN), and central-executive network (CEN) has been widely used to understand the functional interaction patterns in health and disease. This triple network model suggests that the SN causally controls over the DMN and CEN in healthy individuals. This interaction is often referred to as SN's dynamic regulating mechanism. However, such interactions are not well understood in individuals with schizophrenia. Methods: In this study, we leveraged resting-state functional magnetic resonance imaging data from schizophrenia (n = 67) and healthy controls (n = 81) and evaluated the directional functional interactions among DMN, SN, and CEN using stochastic dynamical causal modeling methodology. Results: In healthy controls, our analyses replicated previous findings that SN regulates DMN and CEN activities (Mann-Whitney U test; p < 10-8). In schizophrenia, however, our analyses revealed a disrupted SN-based controlling mechanism over the DMN and CEN (Mann-Whitney U test; p < 10-16). Conclusions: These results indicate that the disrupted controlling mechanism of SN over the other two neural networks may be a candidate neuroimaging phenotype in schizophrenia.

  • Research Article
  • Cite Count Icon 198
  • 10.3402/ejpt.v6.27313
Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions
  • Mar 31, 2015
  • European Journal of Psychotraumatology
  • Ruth A Lanius + 4 more

BackgroundThree intrinsic connectivity networks in the brain, namely the central executive, salience, and default mode networks, have been identified as crucial to the understanding of higher cognitive functioning, and the functioning of these networks has been suggested to be impaired in psychopathology, including posttraumatic stress disorder (PTSD).Objective1) To describe three main large-scale networks of the human brain; 2) to discuss the functioning of these neural networks in PTSD and related symptoms; and 3) to offer hypotheses for neuroscientifically-informed interventions based on treating the abnormalities observed in these neural networks in PTSD and related disorders.MethodLiterature relevant to this commentary was reviewed.ResultsIncreasing evidence for altered functioning of the central executive, salience, and default mode networks in PTSD has been demonstrated. We suggest that each network is associated with specific clinical symptoms observed in PTSD, including cognitive dysfunction (central executive network), increased and decreased arousal/interoception (salience network), and an altered sense of self (default mode network). Specific testable neuroscientifically-informed treatments aimed to restore each of these neural networks and related clinical dysfunction are proposed.ConclusionsNeuroscientifically-informed treatment interventions will be essential to future research agendas aimed at targeting specific PTSD and related symptoms.

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