4D flow MRI of CSF dynamics: relations to CSF morphology and Aβ status

Abstract Background Cerebrospinal fluid (CSF) dynamics are increasingly studied to understand potential pathologic coupling with neurological disorders. In Alzheimer’s disease (AD), CSF dynamics may be altered secondary to AD‐related atrophy and enlarged CSF spaces. Additionally, animal studies suggest that altered CSF dynamics could impair clearance of metabolic waste, leading to accumulation of amyloid‐beta (Aβ). However, assessment of human CSF dynamics has typically been limited to the cerebral aqueduct using 2D phase contrast MRI. In this work, we used 4D flow MRI to enable volumetric characterization of CSF flow dynamics in the human brain, to study its associations with CSF morphology and Aβ burden from 11 C‐PiB PET. Method Cardiac‐resolved 4D flow MRI was used to assess CSF motion in N=69 participants (age 69±8 years; 17 Aβ+) from the Wisconsin Registry for Alzheimer’s Prevention, using a clinical 3T scanner (GE Premier) and a velocity encoding of 5 cm/s. Region‐averaged velocity waveforms were acquired in the spinal canal (SC), fourth ventricle (4V), cerebral aqueduct (CA), third ventricle (3V), the foramens of Monro (FMo), and the lateral ventricles (LV), segmented from T1‐weighted volumes. The waveforms were characterized by root‐mean‐square (RMS) velocity and were evaluated in relation to total CSF volume and Aβ status from an established PiB global distribution volume ratio threshold >1.16. Result Velocity waveforms demonstrated cardiac‐pulsatility in all regions of interest (ROIs) (Figure 1), with RMS velocities ranging from high in the SC (6.56±2.29 mm/s) to low in the lateral ventricles (right LV 0.31±0.15 mm/s). RMS velocities were related to total CSF volume for the SC (R=‐0.24; p=0.043), CA (R=0.27; p=0.034), 3V (R=‐0.28; p=0.018), left LV (R=‐0.39; p=0.002), and right LV (R=‐0.35; p=0.009) (Figure 2). In preliminary analysis, RMS velocities were higher in Aβ+ compared to Aβ‐ for the SC (p=0.048) and right LV (p=0.024) (Figure 3). Conclusion 4D CSF flow MRI is feasible for the assessment of CSF dynamics throughout the ventricular system. Total CSF volume was related to RMS velocities in 5/8 ROIs, highlighting the influence of CSF morphology on CSF dynamics. Finally, Aβ status was related to RMS velocity in 2/8 ROIs, indicating that altered CSF dynamics could play a role in incipient AD.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092402
Citations
1
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

4D flow MRI of CSF dynamics: relations to CSF morphology and Aβ status

Tobey J. Betthauser, Sarah Hudson, Kevin M. Johnson, Robert V. Cadman et al.
1 citations
Alzheimer s & Dementia
Cerebrospinal fluid and hydrocephalus
0.27
article

4D flow MRI of CSF dynamics: relations to CSF morphology and Aβ status

Tobey J. Betthauser, Sarah Hudson, Kevin M. Johnson, Robert V. Cadman, Tomas Vikner, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Nathaniel A. Chin, Sterling C. Johnson, Christian C. Pompa, William B. Bevis
article en
1 citations

Abstract

Abstract Background Cerebrospinal fluid (CSF) dynamics are increasingly studied to understand potential pathologic coupling with neurological disorders. In Alzheimer’s disease (AD), CSF dynamics may be altered secondary to AD‐related atrophy and enlarged CSF spaces. Additionally, animal studies suggest that altered CSF dynamics could impair clearance of metabolic waste, leading to accumulation of amyloid‐beta (Aβ). However, assessment of human CSF dynamics has typically been limited to the cerebral aqueduct using 2D phase contrast MRI. In this work, we used 4D flow MRI to enable volumetric characterization of CSF flow dynamics in the human brain, to study its associations with CSF morphology and Aβ burden from 11 C‐PiB PET. Method Cardiac‐resolved 4D flow MRI was used to assess CSF motion in N=69 participants (age 69±8 years; 17 Aβ+) from the Wisconsin Registry for Alzheimer’s Prevention, using a clinical 3T scanner (GE Premier) and a velocity encoding of 5 cm/s. Region‐averaged velocity waveforms were acquired in the spinal canal (SC), fourth ventricle (4V), cerebral aqueduct (CA), third ventricle (3V), the foramens of Monro (FMo), and the lateral ventricles (LV), segmented from T1‐weighted volumes. The waveforms were characterized by root‐mean‐square (RMS) velocity and were evaluated in relation to total CSF volume and Aβ status from an established PiB global distribution volume ratio threshold >1.16. Result Velocity waveforms demonstrated cardiac‐pulsatility in all regions of interest (ROIs) (Figure 1), with RMS velocities ranging from high in the SC (6.56±2.29 mm/s) to low in the lateral ventricles (right LV 0.31±0.15 mm/s). RMS velocities were related to total CSF volume for the SC (R=‐0.24; p=0.043), CA (R=0.27; p=0.034), 3V (R=‐0.28; p=0.018), left LV (R=‐0.39; p=0.002), and right LV (R=‐0.35; p=0.009) (Figure 2). In preliminary analysis, RMS velocities were higher in Aβ+ compared to Aβ‐ for the SC (p=0.048) and right LV (p=0.024) (Figure 3). Conclusion 4D CSF flow MRI is feasible for the assessment of CSF dynamics throughout the ventricular system. Total CSF volume was related to RMS velocities in 5/8 ROIs, highlighting the influence of CSF morphology on CSF dynamics. Finally, Aβ status was related to RMS velocity in 2/8 ROIs, indicating that altered CSF dynamics could play a role in incipient AD.

Alzheimer s & DementiaVol. 20(S2)
University of Wisconsin–Madison (US)
Openalex Percentile: Top 41%
Cerebrospinal fluid and hydrocephalus
0.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.