Diagnosis of Alzheimer's disease (AD) during life relies upon clinical and neurobehavioral symptoms but is presumptive without microscopic verification of neuropathology. Studies in this review observed considerable heterogeneity in AD symptoms and did not agree on how to detect the earliest symptoms. Problems exist in diagnosis. Differences in symptoms and diagnosis result from how AD is defined neurobehaviorally and on the model used for description. The studies reviewed have been considered under three basic models: A severity (staging) model; a heterogeneity (subtyping) model; and an information processing model. Differences in model intent have resulted in differences in disease description. Brain imaging measures have not invalidated models but add the neural substrate needed to examine correlation of measures within each model.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0197-4580(88)80027-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Early Severe Cortical Involvement and Novel FUCA1 Mutations in a Pediatric Fucosidosis Case.
Mol Genet Genomic Med
February 2025
Department of Pediatric Neurology, Hospital Universitario Quirónsalud, Madrid, Spain.
Background: Biallelic pathogenic variants in the FUCA1 gene are associated with fucosidosis. This report describes a 4-year-old boy presenting with psychomotor regression, spasticity, and dystonic postures.
Methods And Results: Trio-based whole exome sequencing revealed two previously unreported loss-of-function variants in the FUCA1 gene.
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFPredicting brain tumour growth patterns using a novel MRI-based tumour spread map: application to radiotherapy planning.
Med Phys
January 2025
Paul Albrechtsen Research Institute, CancerCare Manitoba, Winnipeg, Canada.
Background: The treatment of glioblastomas (GBM) with radiation therapy is extremely challenging due to their invasive nature and high recurrence rate within normal brain tissue.
Purpose: In this work, we present a new metric called the tumour spread (TS) map, which utilizes diffusion tensor imaging (DTI) to predict the probable direction of tumour cells spread along fiber tracts. We hypothesized that the TS map could serve as a predictive tool for identifying patterns of likely recurrence in patients with GBM and, therefore, be used to modify the delivery of radiation treatment to pre-emptively target regions at high risk of tumour spread.
Obstructive sleep apnea and structural and functional brain alterations: a brain-wide investigation from clinical association to genetic causality.
BMC Med
January 2025
Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, NO.28 Qiaozhong Mid Road, Guangzhou, Guangdong, 510160, China.
Background: Obstructive sleep apnea (OSA) is linked to brain alterations, but the specific regions affected and the causal associations between these changes remain unclear.
Methods: We studied 20 pairs of age-, sex-, BMI-, and education- matched OSA patients and healthy controls using multimodal magnetic resonance imaging (MRI) from August 2019 to February 2020. Additionally, large-scale Mendelian randomization analyses were performed using genome-wide association study (GWAS) data on OSA and 3935 brain imaging-derived phenotypes (IDPs), assessed in up to 33,224 individuals between December 2023 and March 2024, to explore potential genetic causality between OSA and alterations in whole brain structure and function.
Longitudinal MRI evaluation of the efficacy of non-enhanced lung cancer brain metastases.
Sci Rep
January 2025
Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei, China.
Brain metastases (BM) are the most prevalent intracranial malignancies. Approximately 30-40% of cancer patients develop BM at some stage of their illness, presenting with a high incidence and poor prognosis. Our clinical findings indicate a significant disparity in the efficacy between non-enhanced and enhanced lung cancer BM.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!