Detecting Alzheimer's Disease Based on 4D fMRI: An Exploration Under Deep Learning Framework

Publication date: Available online 20 January 2020Source: NeurocomputingAuthor(s): Wei Li, Xuefeng Lin, Xi ChenAbstractApplying machine learning methods to various modality medical images and clinical data for early diagnosis of Alzheimer's disease (AD) and its prodromal stage has got lots of significant results. So far, the image data input to classifier mainly focus on 2D or 3D images. Although some functional imaging technologies, such as functional magnetic resonance imaging (fMRI), generate 4D data which contain both spatial and time-varying information of the brain, for the lack of suitable 4D image processing algorithm, these 4D data were always used by transforming them into functional connectivity or slicing them into 2D/3D pictures which causing apparent information loss. In this paper, we present a 4D deep learning model (C3d-LSTM) for AD discrimination, which is able to utilize the spatial and time-varying information simultaneously by dealing with 4D fMRI data directly. The proposed C3d-LSTM combines a series of 3D convolutional neural networks (CNNs) to extract spatial features from each volume of 3D static image in fMRI image sequence. Then the feature maps obtained were put into the long short-term memory (LSTM) network to capture the time-varying information contained in the data. Because of the design of structure, C3d-LSTM became an end-to-end data-driven model, which was more convenient for processing 4D fMRI data. The model proposed conducted on the AD Ne...
Source: Neurocomputing - Category: Neuroscience Source Type: research

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CONCLUSIONS AND RELEVANCE: Neuropsychological testing and MRI remain the most widely used diagnostic tests by DLB specialists. Other tests-particularly indicative biomarkers-are used only selectively. Research is needed to validate existing potential DLB biomarkers, develop new biomarkers, and investigate mechanisms to improve DLB diagnosis. PMID: 33009039 [PubMed - as supplied by publisher]
Source: Alzheimer Disease and Associated Disorders - Category: Psychiatry Tags: Alzheimer Dis Assoc Disord Source Type: research
The objective of this study was to evaluate the role of silent CSVD in the progression from MCI to dementia and if confluent white matter hyperintensities (WMHs) pose a higher risk for progression in the clinical setting. METHODS: Patients with MCI with baseline magnetic resonance imaging and longitudinal follow-up were evaluated. WMH were quantified using visual scoring at baseline (all subjects) and at end of study period (subgroup). Influences of baseline total WMH, baseline confluent WMH, and increase of WMH on progression from MCI to dementia were analyzed. RESULTS: A total of 200 patients with a mean age of 6...
Source: Alzheimer Disease and Associated Disorders - Category: Psychiatry Tags: Alzheimer Dis Assoc Disord Source Type: research
Conclusions: Among elderly individuals with AD, sex modified the effects of the APOE ε4 allele on region-specific tau deposition and gray matter volume. FACs had elevated brain region-specific tau PET SUVR and decreased gray matter volume in comparison to NFACs. The study provides a basis for the use of precision medicine in the diagnosis of AD and evaluation of therapeutics using 18F-AV-1451 PET and structural MRI.
Source: Theranostics - Category: Molecular Biology Authors: Tags: Research Paper Source Type: research
This study used resting-state functional magnetic resonance imaging (rs-fMRI) and an independent component analysis (ICA) approach to explore changes in functional connectivity (FC) in the default mode network (DMN), executive control network (ECN), and salience network (SN). Thirty patients with aMCI and 30 healthy controls (HCs) were enrolled. All the participants underwent an rs-fMRI scan. The brain FC in DMN, ECN, and SN was calculated using the ICA approach. We found that the FC of brain regions in DMN decreased significantly and that of brain regions in ECN increased, which was in accordance with the findings of prev...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
The discovery of the glial-lymphatic or glymphatic fluid clearance pathway in the rodent brain led researchers to search for a parallel system in humans and to question the implications of this pathway in neurodegenerative diseases. Magnetic resonance imaging studies revealed that several features of the glymphatic system may be present in humans. In both rodents and humans, this pathway promotes the exchange of interstitial fluid (ISF) and cerebrospinal fluid (CSF) through the arterial perivascular spaces into the brain parenchyma. This process is facilitated in part by aquaporin-4 (AQP4) water channels located primarily ...
Source: Frontiers in cellular and infection microbiology - Category: Microbiology Source Type: research
Conclusions: Aging was associated with the development of H-EPVS in non-dementic elderly population. Memory function was found to be associated with MTA but not with the degree of H-EPVS.
Source: Frontiers in Neurology - Category: Neurology Source Type: research
CONCLUSION: Our results suggest that the addition of regional quantitative MRI data enhances the screening ability of subjective memory complaints and informant-reports of cognitive decline for MCI and dementia. PMID: 32933240 [PubMed - as supplied by publisher]
Source: Psychiatry Investigation - Category: Psychiatry Tags: Psychiatry Investig Source Type: research
This study quantitatively characterizes cognitive decline rates in MCI and tests whether volumetric data from baseline magnetic resonance imaging (MRI) can predict accelerated cognitive decline. METHODS: The authors retrospectively examined Alzheimer Disease Neuroimaging Initiative data to obtain serial Mini-Mental Status Exam (MMSE) scores, diagnoses, and the following baseline MRI volumes: total intracranial volume, whole-brain and ventricular volumes, and volumes of the hippocampus, entorhinal cortex, fusiform gyrus, and medial temporal lobe. Subjects with
Source: Alzheimer Disease and Associated Disorders - Category: Psychiatry Tags: Alzheimer Dis Assoc Disord Source Type: research
Abstract Functional connectivity network (FCN) analysis is an effective technique for modeling human brain patterns and diagnosing neurological disorders such as Alzheimer's disease (AD) and its early stage, Mild Cognitive Impairment. However, accurately estimating biologically meaningful and discriminative FCNs remains challenging due to the poor quality of functional magnetic resonance imaging (fMRI) data and our limited understanding of the human brain. Inspired by the inter-similarity nature of FCNs, similar regions of interest tend to share similar connection patterns. Here, we propose a functional brain netw...
Source: Aging - Category: Biomedical Science Authors: Tags: Aging (Albany NY) Source Type: research
Abstract Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. Here, we used vessel size imaging to investigate the specific microvascular changes and most susceptible brain regions during AD progression in an amyloid precursor protein 23 (APP23) transgenic AD mouse model. Using 9.4 Tesla magnetic resonance imaging (MRI), the values of microvascular density (Density), mean vessel diameter (mVD), and vessel size index (VSI) were compared between APP23 and wild-type (WT) mice at 3, 6, 9, 14, and 20 months of age. Our results demonstrate that in 20-month old APP23 and WT mice, the Density val...
Source: Aging - Category: Biomedical Science Authors: Tags: Aging (Albany NY) Source Type: research
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