Article

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer’s Disease

2022-07-03

Abstract excerpt

Alzheimer’s disease is clinically heterogeneous, in symptom profiles, progression rates and outcomes. This clinical heterogeneity is linked to underlying neuroanatomical heterogeneity. To explore this, we employed the emerging technique of neuroanatomical normative modelling to index regional patterns of variability in cortical thickness in individual patients from the large multi-site Alzheimer’s Disease Neuroima...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 98a5e3ce-bd30-521b-b85b-a890682165b6
DOI: 10.1101/2022.06.30.22277053

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer’s DiseaseDOI 10.1101/2022.06.30.22277053Read

Examining real-world Alzheimer’s disease heterogeneity using neuroanatomical normative modellingSemantic proximity Read

Personalising Alzheimer’s Disease progression using brain atrophy markersSemantic proximity Read

Multimodal and longitudinal characterization of distinct tau and atrophy clusters in Alzheimer’s disease spectrumSemantic proximity Read

Tau-Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease.Semantic proximity Read

The Cortical Asymmetry Index (CAI) for subtyping dementia patientsSemantic proximity Read

Clinical phenotypes of Alzheimer's disease: investigating atrophy patterns and their pathological correlates.Semantic proximity Read

Structural Similarity Networks Reveal Brain Vulnerability in DementiaSemantic proximity Read

Alzheimer’s Disease Selectively Perturbs Age-Sensitive Brain Radiomic Features Across the Disease ContinuumSemantic proximity Read

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer’s diseaseSemantic proximity Read

Structural heterogeneity reveals distinct amyloidopathies in Alzheimer’s diseaseSemantic proximity Read

Machine Learning Classification of Alzheimer’s Disease Pathology Reveals Diffuse Amyloid as a Major Predictor of Cognitive Impairment in Human Hippocampal SubregionsSemantic proximity Read

Medial temporal lobe Tau-Neurodegeneration <i>mismatch</i> from MRI and plasma biomarkers identifies vulnerable and resilient phenotypes with ADSemantic proximity Read