Methodological challenges of measuring brain volumes and cortical thickness in idiopathic normal pressure hydrocephalus with a surface-based approach.

(NPH) Alzheimer’s disease (AD) FreeSurfer brain segmentation dementia enlarged ventricles normal pressure hydrocephalus

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2024
Historique:
received: 05 01 2024
accepted: 28 06 2024
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 5 8 2024
Statut: epublish

Résumé

Identifying disease-specific imaging features of idiopathic Normal Pressure Hydrocephalus (iNPH) is crucial to develop accurate diagnoses, although the abnormal brain anatomy of patients with iNPH creates challenges in neuroimaging analysis. We quantified cortical thickness and volume using FreeSurfer 7.3.2 in 19 patients with iNPH, 28 patients with Alzheimer's disease (AD), and 30 healthy controls (HC). We noted the frequent need for manual correction of the automated segmentation in iNPH and examined the effect of correction on the results. We identified statistically significant higher proportion of volume changes associated with manual edits in individuals with iNPH compared to both HC and patients with AD. Changes in cortical thickness and volume related to manual correction were also partly correlated with the severity of radiological features of iNPH. We highlight the challenges posed by the abnormal anatomy in iNPH when conducting neuroimaging analysis and emphasise the importance of quality checking and correction in this clinical population.

Identifiants

pubmed: 39099637
doi: 10.3389/fnins.2024.1366029
pmc: PMC11295655
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1366029

Informations de copyright

Copyright © 2024 Del Giovane, David, Kolanko, Gontsarova, Parker, Hampshire, Sharp, Malhotra and Carswell.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor VC declared a past co-authorship with the author DS.

Auteurs

Martina Del Giovane (M)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.

Michael C B David (MCB)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.

Magdalena A Kolanko (MA)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.

Anastasia Gontsarova (A)

Department of Brain Sciences, Imperial College London, London, United Kingdom.

Thomas Parker (T)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.

Adam Hampshire (A)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

David J Sharp (DJ)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.

Paresh A Malhotra (PA)

UK Dementia Research Institute, Care Research & Technology Centre, Imperial College and the University of Surrey, London, United Kingdom.
Department of Brain Sciences, Imperial College London, London, United Kingdom.
Department of Neurology, Imperial College Healthcare NHS Trust, London, United Kingdom.

Christopher Carswell (C)

Department of Brain Sciences, Imperial College London, London, United Kingdom.
Department of Neurology, Imperial College Healthcare NHS Trust, London, United Kingdom.

Classifications MeSH