frontotemporal dementia differential diagnosis

doi: 10.1016/j.neuroimage.2008.03.050, Du, A.-T., Schuff, N., Kramer, J. H., Rosen, H. J., Gorno-Tempini, M. L., Rankin, K., et al. Accessibility Frontotemporal dementia (FTD) is the most frequently occurring dementia in the presenile population. 40, 1507–1527 doi: 10.1002/hbm.24463, Neary, D., Snowden, J., and Mann, D. (2005). Epub 2015 Jul 3. Historically, physicians recognised bvFTD under the narrow rubric of Pick’s disease (PiD), and considered this disorder in the differential diagnosis of older adult patients presenting with dementia along with disinhibition and impulsivity.2At the time, PiD could only be diagnosed definitively via autopsy. Floor 17 Chicago, IL 60601. One-tailed pairwise t-tests were conducted to access the performance improvements. doi: 10.1001/archneurol.2010.295, Zheng, Y., Guo, H., Zhang, L., Wu, J., Li, Q., and Lv, F. A. Comput Math Methods Med. Brain MRI is an imaging modality widely used for detecting various types of dementia, as the image contrast between different tissue can reveal pathology-induced brain morphology changes. AD. A DSM-5 diagnosis of bvFTD requires Firstly, the proposed network was able to learn the latent representation pattern across the different types of features (volumes and cortical thickness) extracted at coarse-to-fine scales. (2018). 42, 60–88. Found insideClinical and scientific interest in FTD and related disorders continues to grow rapidly, with major advances having occurred since this book's last publication. “Deep residual learning for image recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778. Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal. 225 N. Michigan Ave. a complex neurodegenerative disease that presents with neuropsychiatric symptoms overlapping with mood disorders, psychotic disorders, catatonia, OCD, personality disorders, ASD, and ADHD. (2016). Frontotemporal dementia (FTD) is a group of disorders in which neurodegeneration chiefly affects brain areas called the frontal and temporal lobes. Clinical diagnosis derives primarily from examination and brain imaging. There is a lack of absolute agreement among experts regarding which specific diseases fall under the frontotemporal dementia umbrella. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). Differential Diagnosis 3 – Frontotemporal Degeneration (FTD) Rationale: A hallmark characteristic of FTD is a gradual, progressive decline in behavior and language (with memory usually relatively preserved). Specifically, cortical folding has showed different aging-related patterns between healthy and diseased brain (Wang et al., 2016), including dementia such as AD (Cash et al., 2012). Manifests primarily as disruption in personality and social conduct, or as a primary language disorder. Frontotemporal Dementias Careful clinical, neuropsychologic, and imaging investigations make differential diagnosis of variants possible. logic features would predict a differential cognitivepatternon mentalstatusexami-nation and, notably, a predominant dys-executive syndrome in FTD.4,5 Neverthe-less, the differential diagnosis is not always easy, especially in patients with mild dementia. This volume presents a comprehensive guide to one of the most important goals of neuroscience, establishing precision structure-function relationships in the brain. doi: 10.1016/j.neuroimage.2014.06.077. Conditions to consider in the differential diagnosis of Pick disease include the following: Rarely, subcortical stroke, for example affecting the striatum. Using leave-one-out cross validation, the classification achieved an accuracy, sensitivity, and specificity of 100% using only the QEEG features Granger causality and the ratio of theta and beta1 band powers. The presented four experiments show a similar pattern despite the differences in their accuracy and sensitivity. Cover Focus | June 2019. Hum. Brain Mapp. Neurophysiological Markers of Alzheimer's Disease: Quantitative EEG Approach. ; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. Causes of frontotemporal dementia. Frontotemporal dementia is caused by clumps of abnormal protein forming inside brain cells. These are thought to damage the cells and stop them working properly. The proteins mainly build up in the frontal and temporal lobes of the brain at the front and sides. Cross validation experiment indicate that the proposed network could learn the latent patterns representing the different dementias using multi-type and multi-scale features, which in combination with GAN-based data augmentation, achieved a high accuracy of 88.28%. Two types of features, ROI volume and cortical thickness, were used for differential diagnosis in this study. Keywords cognition, dementia, differential diagnosis, neuropsychological tests Clinical overlap in the presentation of Dementia of the Alzheimer’s Type, Vascular Dementia, Fronto-Temporal Dementia, and Major Depressive Disor-der, poses significant challenges in differential diagnosis. Author information: (1)Dementia Research Group, Institute of Neurology, London, UK. Eur Radiol. Neurosurg. Frontotemporal dementia syndrome overlap can occur and may be confused with other psychiatric disorders. “Data augmentation with improved generative adversarial networks,” in 2018 24th International Conference on Pattern Recognition (ICPR) (Beijing: IEEE). Distinguishing FTD from Alzheimer's is the only indication for which Medicare may cover a PET scan for evaluation of dementia. As expected, the classification performance was sensitive to patch size change and a generalized reduction with increasing patch size was found on the overall accuracy. Now presented in full color, this updated edition of Memory Loss, Alzheimer's Disease, and Dementia is designed as a practical guide for clinicians that delivers the latest treatment approaches and research findings for dementia and related ... Image Anal. Support vector machine classifiers were trained to distinguish among the three groups. Principal component analysis (PCA) was used for the reduction of feature dimension and the eigenvectors accounting for 95% of the total data variance were retained. By combining AD-RAI and FTDI, an MRI-based decision strategy was further proposed as a promising solution for the differential diagnosis of AD and FTD in clinical practice. Dementia is a broad term which covers many conditions, including Alzheimer's disease, vascular dementia, frontotemporal dementia, and others. Figure 3 showed the comparison of the distributions for the entire concatenated multi-level multi-type W-score feature set between different subgroups. Andersson M, Hansson O, Minthon L, Rosén I, Londos E. Electroencephalogram variability in dementia with lewy bod-ies, Alzheimer’s disease and controls. The book's three major sections establish the neuroanatomical and cognitive framework underlying disorders of cognition, provide fundamental as well as cutting-edge material covering specific diseases associated with dementia, and discuss ... Primary brain tumors of the frontal lobe, pituitary, or related regions. In this study, a novel framework for accurate differential diagnosis among NC, AD, and FTD pathology has been proposed leveraging the multi-type and multi-scale feature fusion, ensemble classifier, and GAN strategy. Comput. arXiv:1802.10151. Diagnostics (Basel). 4, 771–780. Frontotemporal Dementia (FTD) is the name given to a number of brain disorders that primarily affect the frontal and temporal lobes of the brain. The datasets generated for this study are available on request to the corresponding author. Knowing the key features and pathology of each type of dementia can help in the accurate diagnosis of patients, so they will receive the treatment and support services appropriate for … Longitudinal multimodal MRI as prognostic and diagnostic biomarker in presymptomatic familial frontotemporal dementia. Psychiatry 66, 184–188. If present, this atrophy may be diagnostic. doi: 10.1016/S0140-6736(15)00461-4, Beg, M. F., Miller, M. I., Trouvé, A., and Younes, L. (2005). Avoiding an overspecialized approach, the book bridges the gap between clinical practice, advanced imaging, recent therapeutics and basic sciences. J. Comput. Neurobiol. Neuroimage 51, 970–986. International Journal of Neuroscience , 116(11), 1271–1293. Sci. Am. -, Binnewijzend MA, Kuijer JP, Van Der Flier WM, Benedictus MR, Möller CM, et al. EEG comparisons in early Alzheimer’s disease, dementia with Lewy bodies and Parkinson’s disease with dementia patients with a 2-year follow-up. (2012). Comparisons of clinical symptoms in biomarker-confirmed Alzheimer's disease, dementia with Lewy bodies, and frontotemporal dementia patients in a local memory clinic. Nonfluent/agrammatic variant (nfv-PPA): Previously known as progressive nonfluent aphasia. (2017). Front. A. 6533 (Springer International Publishing), 28–40. It will be abnormal in PSP (figure 2A), but it will also be abnormal in Parkinson’s disease, multiple system atrophy, and usually with corticobasal degeneration and frontotemporal dementia with parkinsonism. A highly-illustrated and reader-friendly text on the key psychopharmacology concepts surrounding Alzheimer's disease and other dementias. Therefore, we did not specify what kind of data samples the generator should synthesize. The promising high-accuracy results using the proposed framework, and the ability of deep networks to generalize to multiple classes, indicate that this approach can be potentially extended for the multiclass differential classification of brain images in other neurodegenerative dementias as well. Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer's disease using structural MR and FDG-PET images. 15, 1929–1958. Epub 2008 Jan 17. (2017). Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Frontotemporal lobar degeneration is a general term that describes a group of disorders based on their neuropathology that cause damage and dysfunction of the frontal and temporal lobes of the brain. (Accepted), Keywords: differential diagnosis, magnetic resonance imaging, generative adversarial network, frontotemporal dementia (FTD), Alzheimer's disease, Citation: Ma D, Lu D, Popuri K, Wang L, Beg MF and Alzheimer's Disease Neuroimaging Initiative (2020) Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images. Image Anal. Abadi, M., Agarwal, A., and Barham, P. (2015). Frontotemporal dementia syndrome overlap can occur and may be confused with other psychiatric disorders. Frontotemporal disorders are diagnosed by physicians and psychologists based on a person's symptoms and results of brain scans and genetic tests . With the exception of known genetic causes, the type of FTLD can be identified definitively only by brain autopsy after death. It tends to occur earlier than Alzheimer's, primarily between ages 35 and 75. All authors contributed to the article and approved the submitted version. One vs. rest strategy was applied for this multiclass classification task. Articles by leading scientists in the field cover such areas as neuroimaging, brain energy metabolism, biomarkers, brain amyloidosis, environmental and metabolic factors, similarities and differences between transmissible dementias and ... (B) Similar level of significant differences were shown when comparing the NC and AD subjects in the ADNI database, or (C) When comparing the NC and the FTD subjects in the FTDBI database, indicating similarity between the AD and FTD group. Get information and resources for Alzheimer's and other dementias from the Alzheimer's Association. As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. EEG comparisons in early Alzheimer's disease, dementia with Lewy bodies and Parkinson's disease with dementia patients with a 2-year follow-up. Thirdly, the ensemble classifier strategy could result in a more robust and stable classifier, which has statistically better performance than an individual classifier. A DaTSCAN is rarely indicated. Generative adversarial networks for data augmentation in machine fault diagnosis. Following PRISMA guidelines, the NIC-FTD used systematic review to determine level of evidence and establish consensus recommendations for various aspects of The clinical diagnosis of vascular dementia, Lewy body dementia, and frontotemporal dementia predicts the brain autopsy diagnosis, but not as well as a clinical diagnosis of Alzheimer’s. (2018). Differential Diagnosis. Most individuals with FTD perform poorly on neuropsychiatric tests of executive function. 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