Correlation between Alzheimer’s Disease and Dementia with Lewy Bodies Scores Using VSRAD Advance

The objective of the study was to explore the relationship between the indicators of Alzheimer’s disease and dementia with Lewy bodies using the voxel-based specific regional analysis system for Alzheimer’s Disease (VSRAD) advance. Among 36 patients with suspected dementia, patients with Alzheimer’s disease and dementia with Lewy bodies were identified using VSRAD advance from March 1 to October 30, 2019. All patients underwent brain Magnetic Resonance Imaging (MRI). We diagnosed Alzheimer’s disease using Volume of Interest (VOI) in the Medial Temporal Lobe (MTL) atrophy ratio > 2 and dementia with Lewy bodies using both VOI in the MTL atrophy ratio ≤ 2 and gray/white matter atrophy ratio ≥ 0.2. The correlation between the indicators of Alzheimer’s disease and dementia with Lewy bodies was calculated. The number of patients classified as having Alzheimer’s disease and dementia with Lewy bodies was 25 and 11, respectively. In the Alzheimer’s disease group, the correlation coefficient between the extent of gray matter atrophy and the severity of atrophy in the dorsal brainstem gray matter was r = -0.40 (p = 0.045). In dementia with Lewy bodies group, the correlation coefficient between the extent of gray matter atrophy and the severity of atrophy in the dorsal brainstem white matter was r = -0.78 (p < 0.01). Using VSRAD advance, gray matter atrophy and dorsal brainstem grey/white matter atrophy were found to be negatively correlated in Alzheimer’s disease and dementia with Lewy bodies.

Longitudinal evolution of cortical thickness signature reflecting Lewy body dementia in isolated REM sleep behavior disorder:a prospective cohort study

Background The isolated rapid-eye-movement sleep behavior disorder(iRBD)is a prodromal condition of Lewy body disease including Parkinson’s disease and dementia with Lewy bodies(DLB).We aim to investigate the longitudinal evolution of DLB-related cortical thickness signature in a prospective iRBD cohort and evaluate the possible predictive value of the cortical signature index in predicting dementia-first phenoconversion in individuals with iRBD.Methods We enrolled 22 DLB patients,44 healthy controls,and 50 video polysomnography-proven iRBD patients.Participants underwent 3-T magnetic resonance imaging(MRI)and clinical/neuropsychological evaluations.We characterized DLB-related whole-brain cortical thickness spatial covariance pattern(DLB-pattern)using scaled subprofile model of principal components analysis that best differentiated DLB patients from age-matched controls.We analyzed clinical and neuropsychological correlates of the DLB-pattern expression scores and the mean values of the whole-brain cortical thickness in DLB and iRBD patients.With repeated MRI data during the follow-up in our prospective iRBD cohort,we investigated the longitudinal evolution of the cortical thickness signature toward Lewy body dementia.Finally,we analyzed the potential predictive value of cortical thickness signature as a biomarker of phenoconversion in iRBD cohort.Results The DLB-pattern was characterized by thinning of the temporal,orbitofrontal,and insular cortices and relative preservation of the precentral and inferior parietal cortices.The DLB-pattern expression scores correlated with attentional and frontal executive dysfunction(Trail Making Test-A and B:R=−0.55,P=0.024 and R=−0.56,P=0.036,respectively)as well as visuospatial impairment(Rey-figure copy test:R=−0.54,P=0.0047).The longitudinal trajectory of DLB-pattern revealed an increasing pattern above the cut-off in the dementia-first phenoconverters(Pearson’s correlation,R=0.74,P=6.8×10−4)but no significant change in parkinsonism-first phenoconverters(R=0.0063,P=0.98).The mean value of the whole-brain cortical thickness predicted phenoconversion in iRBD patients with hazard ratio of 9.33[1.16-74.12].The increase in DLB-pattern expression score discriminated dementia-first from parkinsonism-first phenoconversions with 88.2%accuracy.Conclusion Cortical thickness signature can effectively reflect the longitudinal evolution of Lewy body dementia in the iRBD population.Replication studies would further validate the utility of this imaging marker in iRBD.

What can imaging tell us about cognitive impairment and dementia?

Dementia is a contemporary global health issue with far reaching consequences, not only for affected individuals and their families, but for national and global socio-economic conditions. The hallmark feature of dementia is that of irreversible cognitive decline, usually affecting memory, and impaired activities of daily living. Advances in healthcare worldwide have facilitated longer life spans, increasing the risks of developing cognitive decline and dementia in late life. Dementia remains a clinical diagnosis. The role of structural and molecular neuroimaging in patients with dementia is primarily supportive role rather than diagnostic, American and European guidelines recommending imaging to exclude treatable causes of dementia, such as tumor, hydrocephalus or intracranial haemorrhage, but also to distinguish between different dementia subtypes, the commonest of which is Alzheimer&#x02019;s disease. However, this depends on the availability of these imaging techniques at individual centres. Advanced magnetic resonance imaging (MRI) techniques, such as functional connectivity MRI, diffusion tensor imaging and magnetic resonance spectroscopy, and molecular imaging techniques, such as 18F fluoro-deoxy glucose positron emission tomography (PET), amyloid PET, tau PET, are currently within the realm of dementia research but are available for clinical use. Increasingly the research focus is on earlier identification of at risk preclinical individuals, for example due to family history. Intervention at the preclinical stages before irreversible brain damage occurs is currently the best hope of reducing the impact of dementia.

Knowledge domain and emerging trends in visual hallucination research:A scientometric analysis

BACKGROUND Visual hallucination(VH)refers to a spontaneous visual perception without corresponding external stimuli and often occurs in ophthalmological and neuropsychiatric disorders.It is associated with poor quality of life,and increased patient hospitalization and nursing home admission.To date,a scientometric analysis of research on VH is lacking.AIM To objectively summarize the features of VH research and gain insights into the emerging trends in research on VH.METHODS CiteSpace V was used in this article.Publication outputs,document types,geographic distributions,co-authorship status,research hotspots,and co-citation status were analyzed.A total of 2176 original articles and 465 reviews were included in the database downloaded from the Web of Science Core Collection.We selected the top 50 most cited or occurring articles or items to create a visualized network with a 1-year interval.In the document co-citation analysis stage,we performed clustering analysis on co-cited references,and log likelihood tests were used to name the clusters.RESULTS The results showed that most publications can be classified into neurology,sports,and ophthalmology studies.In addition,North America,Europe,Asia and Australia published the most documents.Some well-known authors have always had a leading role in this field;meanwhile,new authors keep emerging.A relatively stable cooperation has been formed among many authors.Furthermore,neuropsychiatric symptom and functional connectivity are the top hotspots.Research on VH in dementia with Lewy bodies and Parkinson’s disease(PD)have received much attention.Studies on VH in PD are likely to be the new emerging trends in the future,especially the mechanisms of VH.CONCLUSION Research on VH has formed a complete system.More large-scale clinical and indepth basic research are required to better understand the mechanisms underlying VH,which will contribute to our understanding of the pathophysiology and therapeutic options for VH.

Can we clinically diagnose dementia with Lewy bodies yet?

Dementia with Lewy Bodies(DLB)was initially identified and confirmed primarily by pathology,but is soon to be incorporated into the Diagnostic and Statistical Manual criteria as a clinical disease entity.Despite these advances over more than 20 years,current data suggest that the sensitivity of accurate clinical diagnosis of DLB is still very low,although there is mounting evidence that supportive features may increase diagnostic accuracy.Although DLB remains easy to identify pathologically with different cellular pathologies differentiating it from other dementia syndromes,pathological identification using only Lewy body pathology has been shown to be inaccurate due to overlap with patients without dementia symptoms.A number of studies now suggest that a combination of cellular pathologies,which include α-synuclein and β-amyloid deposition as well as dopamine denervation,assist with differentiating this dementia syndrome from others.The clinical and pathological overlap with the tauopathy of Alzheimer’s disease still remains to be clarified.To determine more robust and independent clinicopathological correlates from Alzheimer’s disease,longitudinal prospective studies,using specific clinical batteries on dementia patients reaching the proposed criteria for DLB,with post-mortem assessment of the multiple pathologies associated with dementia,are required.Identifying genetic causes for DLB is another approach to investigate the pathogenesis of DLB.However this approach has been hindered to date by difficulties with identifying DLB clinically.The use of novel techniques is likely to advance knowledge on the pathogenesis of DLB and assist with redefining clinical and pathologic diagnostic criteria.To achieve the goal of more accurate clinical diagnosis of DLB,breakthroughs are necessary on the pathogenesis of DLB.

Clinical features of dementia with lewy bodies in 35 Chinese patients

Objective:To investigate the clinical features of dementia with Lewy bodies(DLB)in a Chinese population.Methods:Computer-based online searches through China Biology Medicine disc and China National Knowledge Infrastructure were performed to collect case reports of DLB published between 1980 and 2012.Clinical characteristics were analyzed.Results:A total of 18 studies comprising 35 patients(26 males and 9 females)were included.The mean age at onset was 67.2±9.8 years.Onset was characterized by memory impairment and accounted for 58.8%of all cases,followed by parkinsonism(11.8%),visual hallucinations(8.8%),and compulsive personality disorder(2.9%).The other patients(17.6%)presented two of the three core features of DLB at onset.With disease progression,parkinsonism was reported in 100%of cases,followed by visual hallucinations(97.1%),psychiatric symptoms(85.7%),severe neuroleptic sensitivity(81.8%),fluctuating cognition(68.6%),repeated falls(40.0%),sleep disorders(22.9%),and transient loss of consciousness(17.1%).26 patients who were subjected to Mini-Mental State Examination scored≤24.10 patients presented relative preservation of hippocampus and medial temporal lobe structures on CT/MRI scan.Occipital hypometabolism occurred in 2 of 3 patients who underwent SPECT/PET perfusion scan.12 patients showed an increasing of slow frequency activity on EEG,prominently in frontal and temporal lobes.Conclusions:DLB often strikes elderly individuals.Its clinical core features are dementia,fluctuating cognition,recurrent visual hallucinations and spontaneous features of parkinsonism.Neuropsychological,neuroimaging and EEG examinations may improve the diagnostic accuracy and discriminate DLB from other dementias.

Clinical outcome measures in dementia with Lewy bodies trials: critique and recommendations

The selection of appropriate outcome measures is fundamental to the design of any successful clinical trial. Although dementia with Lewy bodies (DLB) is one of the most common neurodegenerative conditions, assessment of therapeutic benefit in clinical trials often relies on tools developed for other conditions, such as Alzheimer’s or Parkinson’s disease. These may not be sufficiently valid or sensitive to treatment changes in DLB, decreasing their utility. In this review, we discuss the limitations and strengths of selected available tools used to measure DLB-associated outcomes in clinical trials and highlight the potential roles for more specific objective measures. We emphasize that the existing outcome measures require validation in the DLB population and that DLB-specific outcomes need to be developed. Finally, we highlight how the selection of outcome measures may vary between symptomatic and disease-modifying therapy trials.

Neurofilament light chain is increased in the parahippocampal cortex and associates with pathological hallmarks in Parkinson’s disease dementia

Background Increased neurofilament levels in biofluids are commonly used as a proxy for neurodegeneration in several neurodegenerative disorders.In this study,we aimed to investigate the distribution of neurofilaments in the cerebral cortex of Parkinson’s disease(PD),PD with dementia(PDD)and dementia with Lewy bodies(DLB)donors,and its association with pathology load and MRI measures of atrophy and diffusivity.Methods Using a within-subject post-mortem MRI-pathology approach,we included 9 PD,12 PDD/DLB and 18 age-matched control donors.Cortical thickness and mean diffusivity(MD)metrics were extracted respectively from 3DT1 and DTI at 3T in-situ MRI.After autopsy,pathological hallmarks(pSer129-αSyn,p-tau and amyloid-βload)together with neurofilament light-chain(NfL)and phosphorylated-neurofilament medium-and heavy-chain(p-NfM/H)immunoreactivity were quantified in seven cortical regions,and studied in detail with confocal-laser scanning microscopy.The correlations between MRI and pathological measures were studied using linear mixed models.Results Compared to controls,p-NfM/H immunoreactivity was increased in all cortical regions in PD and PDD/DLB,whereas NfL immunoreactivity was increased in the parahippocampal and entorhinal cortex in PDD/DLB.NfL-positive neurons showed degenerative morphological features and axonal fragmentation.The increased p-NfM/H correlated with p-tau load,and NfL correlated with pSer129-αSyn but more strongly with p-tau load in PDD/DLB.Lastly,neuro-filament immunoreactivity correlated with cortical thinning in PD and with increased cortical MD in PDD/DLB.Conclusions Taken together,increased neurofilament immunoreactivity suggests underlying axonal injury and neurofilament accumulation in morphologically altered neurons with increased pathological burden.Importantly,we demonstrate that such neurofilament markers at least partly explain MRI measures that are associated with the neurodegenerative process.

Beyond the synucleinopathies:alpha synuclein as a driving force in neurodegenerative comorbidities

The fundamental role that alpha-synuclein(aSyn)plays in the pathogenesis of neurodegenerative synucleinopathies,including Parkinson’s disease,dementia with Lewy bodies,and multiple system atrophy,is a well-accepted fact.A wealth of experimental evidence has linked this relatively small but ubiquitously expressed protein to a plethora of cytopathologic mechanisms and suggests that aSyn may be capable of seeding the progressive spread of synucleinopathy throughout the brain.Beyond the synucleinopathies,the abnormal deposition of aSyn is frequently seen in a variety of other neurodegenerative proteinopathies including Alzheimer’s disease.In spite of the fact that the frequency of concomitant aSyn pathology in these disorders is such that it can be considered the rule rather than the exception,the potential role that aSyn may have in these disorders has received relatively little attention.In this article we postulate that aSyn may in fact be a key protein in driving the pathogenic processes in neurodegenerative comorbidities.In addition to reviewing the frequency of concomitant deposition of aSyn in the neurodegenerative proteinopathies,we also consider our current understanding of the interaction of aSyn with other neurodegenerative disease-associated proteins,including tau,TDP-43,amyloid-βand prion protein,in the context of neuropathologic studies describing the anatomical sites of potential concomitant pathology.We conclude that a growing body of evidence,encompassing neuropathology studies in human brain,animal models of concomitant proteinopathies and studies employing sophisticated methods of probing protein-protein interaction,cumulatively suggest that aSyn is well positioned to exert a strong influence on the pathogenesis of the neurodegenerative comorbidities.We hope to stimulate research in this emerging field and consider that future studies exploring the contribution of aSyn to the pathogenic processes in neurodegenerative comorbidities may provide critical information pertaining to diagnosis and the development of vital disease modifying treatments for these devastating diseases.

Relationships between Rapid Eye Movement Sleep Behavior Disorder and Neurodegenerative Diseases： Clinical Assessments, Biomarkers, and Treatment

Objective： Rapid eye movement sleep behavior disorder （RBD） is characterized by dream enactment and loss of muscle atonia during rapid eye movement sleep. RBD is closely related to α-synucleinopathies including Parkinson＇s disease, dementia with Lewy bodies, and multiple system atrophy. Many studies have investigated the markers of imaging and neurophysiological, genetic, cognitive, autonomic function of RBD and their predictive value for neurodegenerative diseases. This report reviewed the progress of these studies and discussed their limitations and future research directions. Data Sources： Using the combined keywords： ＂RBD＂, ＂neurodegenerative disease＂, ＂Parkinson disease＂, and ＂magnetic resonance imaging＂, the PubMed/MEDLINE literature search was conducted up to January 1, 2018. Study Selection： A total of 150 published articles were initially identified citations. Of the 150 articles, 92 articles were selected after further detailed review. This study referred to all the important English literature in full. Results： Single-nucleotide polymorphisms in SCARB2 （rs6812193） and MAPT （rs12185268） were significantly associated with RBD. The olfactory loss, autonomic dysfunction, marked electroencephalogram slowing during both wakefulness and rapid eye movement sleep, and cognitive impairments were potential predictive markers for RBD conversion to neurodegenerative diseases. Traditional structural imaging studies reported relatively inconsistent results, whereas reduced functional connectivity between the left putamen and substantia nigra and dopamine transporter uptake demonstrated by functional imaging techniques were relatively consistent findings. Conclusions： More longitudinal studies should be conducted to evaluate the predictive value of biomarkers of RBD. Moreover, because the glucose and dopamine metabolisms are not specific for assessing cognitive cognition, the molecular metabolism directly related to cognition should be investigated. There is a need for more treatnaent trials to determine the effectiveness of interventions of RBD on preventing the conversion to neurodegenerative diseases.

Cerebrospinal fluid amyloid beta and tau proteins in atypical Parkinsonism: a review

Progressive supranuclear palsy,corticobasal degeneration,multiple system atrophy and dementia with Lewy bodies are the most common causes of atypical Parkinsonism and enter the differential diagnosis of Parkinson's disease.multiple system atrophy,dementia with Lewy bodies and Parkinson's disease are synucleinopathies,whereas progressive supranuclear palsy and corticobasal degeneration are tauopathies.Multiple cerebrospinal fluid markers have been applied on cohorts of patients with Parkinsonism,with the aim to develop biomarkers for these disorders.Total tau(τΤ),phosphorylated tau at threonine 181(τP-181)and amyloid-beta with 42 amino acids(Aβ42)are considered classical biomarkers for Alzheimer's disease.The aim of the present study is to review the literature regarding these classical cerebrospinal fluid biomarkers in cohorts with Parkinsonism,as well as present data on novel approaches regarding analysis of these proteins.