Improving Choroid Plexus Segmentation in the Healthy and Diseased Brain: Relevance for Tau-PET Imaging in Dementia

Tadayon, Ehsan; Moret, Beatrice; Sprugnoli, Giulia; Monti, Lucia; Pascual‐Leone, Álvaro; Santarnecchi, Emiliano

doi:10.3233/jad-190706

Cited by 35 publications

(68 citation statements)

References 30 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consistently with previous studies, we showed that it is inaccurate for this specific brain structure. 12,13 As expected, FastSurfer required much less computational time than FreeSurfer. It was also slightly more accurate.…”

Section: Discussionsupporting

confidence: 66%

See 1 more Smart Citation

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis

Schmidt-Mengin,

Ricigliano,

Bodini

et al. 2021

Preprint

View full text Add to dashboard Cite

Choroid plexuses (CP) are structures of the brain ventricles which produce most of the cerebrospinal fluid (CSF). Several postmortem and in vivo studies have pointed towards their role in the inflammatory processes in multiple sclerosis (MS). Automatic segmentation of CP from MRI thus has high value for studying their characteristics in large cohorts of patients. To the best of our knowledge, the only freely available tool for CP segmentation is FreeSurfer but its accuracy for this specific structure is poor. In this paper, we propose to automatically segment CP from non-contrast enhanced T1-weighted MRI. To that end, we introduce a new model called "Axial-MLP" based on an assembly of Axial multi-layer perceptrons (MLPs). This is inspired by recent works which showed that the self-attention layers of Transformers can be replaced with MLPs. This approach is systematically compared with a standard 3D U-Net, nnU-Net, Freesurfer and FastSurfer. For our experiments, we make use of a dataset of 141 subjects (44 controls and 97 patients with MS). We show that all the tested deep learning (DL) methods outperform FreeSurfer (Dice around 0.7 for DL vs 0.33 for FreeSurfer). Axial-MLP is competitive with U-Nets even though it is slightly less accurate. The conclusions of our paper are two-fold: 1) the studied deep learning methods could be useful tools to study CP in large cohorts of MS patients; 2) Axial-MLP is a potentially viable alternative to convolutional neural networks for such tasks, although it could benefit from further improvements.

show abstract

Section: Discussionsupporting

confidence: 66%

“…11 Nevertheless, its segmentation of CP is highly inaccurate. 12,13 Hence, the development of more accurate automatic CP segmentation methods would be very useful to allow the study of large cohorts. To the best of our knowledge, only two other approaches have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis

Schmidt-Mengin,

Ricigliano,

Bodini

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…These findings were replicated in a first-episode schizophrenia (FES) study by Zhou et al, where they found greater CP volume in FES, which was correlated with higher allostatic load (indexed by subclinical cardiovascular, metabolic, neuroendocrine, and immune markers) [ 96 ]. The results from these two neuroimaging studies are promising, which taken together with the expanding interest of the CP in psychiatry and neurology [ 86 , 96 , 97 ], adds to the importance of ensuring accurate segmentation of the CP with more reliable and accurate tools [ 81 ].…”

Section: The Neuropathological Role Of the Choroid Plexus In Neuropsy...mentioning

confidence: 99%

Deconstructing the functional neuroanatomy of the choroid plexus: an ontogenetic perspective for studying neurodevelopmental and neuropsychiatric disorders

2022

View full text Add to dashboard Cite

The choroid plexus (CP) is a delicate and highly vascularized structure in the brain comprised of a dense network of fenestrated capillary loops that help in the synthesis, secretion and circulation of cerebrospinal fluid (CSF). This unique neuroanatomical structure is comprised of arachnoid villi stemming from frond-like surface projections—that protrude into the lumen of the four cerebral ventricles—providing a key source of nutrients to the brain parenchyma in addition to serving as a ‘sink’ for central nervous system metabolic waste. In fact, the functions of the CP are often described as being analogous to those of the liver and kidney. Beyond forming a barrier/interface between the blood and CSF compartments, the CP has been identified as a modulator of leukocyte trafficking, inflammation, cognition, circadian rhythm and the gut brain-axis. In recent years, advances in molecular biology techniques and neuroimaging along with the use of sophisticated animal models have played an integral role in shaping our understanding of how the CP–CSF system changes in relation to the maturation of neural circuits during critical periods of brain development. In this article we provide an ontogenetic perspective of the CP and review the experimental evidence implicating this structure in the pathophysiology of neurodevelopmental and neuropsychiatric disorders.

show abstract

“…Positron emission tomography (PET) imaging is also being used to study the human CP. Thus, total AV1451 (tau) PET binding to the CP using Gaussian Mixed Model segmentation can distinguish between patients with AD from those with mild cognitive impairment [52].…”

Section: Choroid Plexusmentioning

confidence: 99%

Brain Barriers and brain fluids research in 2020 and the fluids and barriers of the CNS thematic series on advances in in vitro modeling of the blood–brain barrier and neurovascular unit

Keep

Jones²,

Drewes

2021

Fluids Barriers CNS

View full text Add to dashboard Cite

This editorial discusses advances in brain barrier and brain fluid research in 2020. Topics include: the cerebral endothelium and the neurovascular unit; the choroid plexus; the meninges; cerebrospinal fluid and the glymphatic system; disease states impacting the brain barriers and brain fluids; drug delivery to the brain. This editorial also highlights the recently completed Fluids Barriers CNS thematic series entitled, ‘Advances in in vitro modeling of the blood–brain barrier and neurovascular unit’. Such in vitro modeling is progressing rapidly.

show abstract

Improving Choroid Plexus Segmentation in the Healthy and Diseased Brain: Relevance for Tau-PET Imaging in Dementia

Cited by 35 publications

References 30 publications

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis

Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis

Deconstructing the functional neuroanatomy of the choroid plexus: an ontogenetic perspective for studying neurodevelopmental and neuropsychiatric disorders

Brain Barriers and brain fluids research in 2020 and the fluids and barriers of the CNS thematic series on advances in in vitro modeling of the blood–brain barrier and neurovascular unit

Contact Info

Product

Resources

About