Institution
Neuroscience Research Australia
Facility•Sydney, New South Wales, Australia•
About: Neuroscience Research Australia is a facility organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Dementia & Frontotemporal dementia. The organization has 803 authors who have published 2459 publications receiving 88652 citations. The organization is also known as: Prince of Wales Medical Research Institute & NeuRA.
Papers published on a yearly basis
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Newcastle University1, Newcastle upon Tyne Hospitals NHS Foundation Trust2, Mayo Clinic3, University of Nottingham4, Istanbul University5, University of British Columbia6, University of California, Los Angeles7, Veterans Health Administration8, Drexel University9, Stavanger University Hospital10, Tohoku University11, King's College London12, Pierre-and-Marie-Curie University13, University of California, San Diego14, McGill University15, Rush University Medical Center16, Autonomous University of Madrid17, Neuroscience Research Australia18, National Institutes of Health19, University of Tokyo20, University of North Carolina at Chapel Hill21, Tel Aviv University22, University of Pennsylvania23, University College London24, University of Louisville25, Lund University26, University of Pittsburgh27, University of Washington28, Juntendo University29, Complutense University of Madrid30, University of Göttingen31, Kanazawa University32
TL;DR: The dementia with Lewy bodies (DLB) Consortium has revised criteria for the clinical and pathologic diagnosis of DLB incorporating new information about the core clinical features and suggesting improved methods to assess them as mentioned in this paper.
Abstract: The dementia with Lewy bodies (DLB) Consortium has revised criteria for the clinical and pathologic diagnosis of DLB incorporating new information about the core clinical features and suggesting improved methods to assess them. REM sleep behavior disorder, severe neuroleptic sensitivity, and reduced striatal dopamine transporter activity on functional neuroimaging are given greater diagnostic weighting as features suggestive of a DLB diagnosis. The 1-year rule distinguishing between DLB and Parkinson disease with dementia may be difficult to apply in clinical settings and in such cases the term most appropriate to each individual patient should be used. Generic terms such as Lewy body (LB) disease are often helpful. The authors propose a new scheme for the pathologic assessment of LBs and Lewy neurites (LN) using alpha-synuclein immunohistochemistry and semiquantitative grading of lesion density, with the pattern of regional involvement being more important than total LB count. The new criteria take into account both Lewy-related and Alzheimer disease (AD)-type pathology to allocate a probability that these are associated with the clinical DLB syndrome. Finally, the authors suggest patient management guidelines including the need for accurate diagnosis, a target symptom approach, and use of appropriate outcome measures. There is limited evidence about specific interventions but available data suggest only a partial response of motor symptoms to levodopa: severe sensitivity to typical and atypical antipsychotics in ∼50%, and improvements in attention, visual hallucinations, and sleep disorders with cholinesterase inhibitors.
4,258 citations
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Montreal General Hospital1, German Center for Neurodegenerative Diseases2, University of Pennsylvania3, Innsbruck Medical University4, Mount Sinai Hospital5, University of Marburg6, University of Navarra7, University of California, San Diego8, Toronto Western Hospital9, Neuroscience Research Australia10, Rush University Medical Center11, Capital Medical University12, Radboud University Nijmegen13, Mayo Clinic14, University of Kiel15
TL;DR: The Movement Disorder Society PD Criteria retain motor parkinsonism as the core feature of the disease, defined as bradykinesia plus rest tremor or rigidity, and two levels of certainty are delineated: clinically established PD and probable PD.
Abstract: This document presents the Movement Disorder Society Clinical Diagnostic Criteria for Parkinson's disease (PD). The Movement Disorder Society PD Criteria are intended for use in clinical research but also may be used to guide clinical diagnosis. The benchmark for these criteria is expert clinical diagnosis; the criteria aim to systematize the diagnostic process, to make it reproducible across centers and applicable by clinicians with less expertise in PD diagnosis. Although motor abnormalities remain central, increasing recognition has been given to nonmotor manifestations; these are incorporated into both the current criteria and particularly into separate criteria for prodromal PD. Similar to previous criteria, the Movement Disorder Society PD Criteria retain motor parkinsonism as the core feature of the disease, defined as bradykinesia plus rest tremor or rigidity. Explicit instructions for defining these cardinal features are included. After documentation of parkinsonism, determination of PD as the cause of parkinsonism relies on three categories of diagnostic features: absolute exclusion criteria (which rule out PD), red flags (which must be counterbalanced by additional supportive criteria to allow diagnosis of PD), and supportive criteria (positive features that increase confidence of the PD diagnosis). Two levels of certainty are delineated: clinically established PD (maximizing specificity at the expense of reduced sensitivity) and probable PD (which balances sensitivity and specificity). The Movement Disorder Society criteria retain elements proven valuable in previous criteria and omit aspects that are no longer justified, thereby encapsulating diagnosis according to current knowledge. As understanding of PD expands, the Movement Disorder Society criteria will need continuous revision to accommodate these advances.
3,421 citations
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Verneri Anttila1, Verneri Anttila2, Brendan Bulik-Sullivan1, Brendan Bulik-Sullivan2 +717 more•Institutions (270)
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.
1,357 citations
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TL;DR: An analysis of all 11,974 bipolar disorder cases and 51,792 controls confirmed genome-wide significant evidence of association for CACNA1C and identified a new intronic variant in ODZ4, and a pathway comprised of subunits of calcium channels enriched in bipolar disorder association intervals was identified.
Abstract: We conducted a combined genome-wide association study (GWAS) of 7,481 individuals with bipolar disorder (cases) and 9,250 controls as part of the Psychiatric GWAS Consortium. Our replication study tested 34 SNPs in 4,496 independent cases with bipolar disorder and 42,422 independent controls and found that 18 of 34 SNPs had P < 0.05, with 31 of 34 SNPs having signals with the same direction of effect (P = 3.8 × 10−7). An analysis of all 11,974 bipolar disorder cases and 51,792 controls confirmed genome-wide significant evidence of association for CACNA1C and identified a new intronic variant in ODZ4. We identified a pathway comprised of subunits of calcium channels enriched in bipolar disorder association intervals. Finally, a combined GWAS analysis of schizophrenia and bipolar disorder yielded strong association evidence for SNPs in CACNA1C and in the region of NEK4-ITIH1-ITIH3-ITIH4. Our replication results imply that increasing sample sizes in bipolar disorder will confirm many additional loci.
1,312 citations
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TL;DR: Genome-wide analysis identifies 30 loci associated with bipolar disorder, allowing for comparisons of shared genes and pathways with other psychiatric disorders, including schizophrenia and depression.
Abstract: Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10-4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10-8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.
1,090 citations
Authors
Showing all 818 results
Name | H-index | Papers | Citations |
---|---|---|---|
John R. Hodges | 149 | 812 | 82709 |
Simon C. Gandevia | 119 | 632 | 47393 |
Stephen R. Lord | 114 | 623 | 47180 |
Perminder S. Sachdev | 114 | 1023 | 60657 |
Glenda M. Halliday | 111 | 676 | 53684 |
Peter R. Schofield | 109 | 693 | 50892 |
Robert G. Cumming | 97 | 515 | 38309 |
David Lloyd | 90 | 1017 | 37691 |
Roger M. Enoka | 85 | 366 | 25130 |
Robert D. Herbert | 83 | 377 | 25281 |
Kaarin J. Anstey | 82 | 553 | 23993 |
Gin S Malhi | 81 | 686 | 26854 |
Bruce J. Brew | 81 | 377 | 24362 |
Matthew C. Kiernan | 78 | 604 | 22867 |
G. Lorimer Moseley | 71 | 287 | 17450 |