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Cognitive functions are well-preserved for some older individuals, but the underlying brain mechanisms remain disputed. Here, 5-year longitudinal 3-back in-scanner and offline data classified individuals in a healthy older sample (baseline age = 64–68 years) into having stable or declining working-memory (WM). Consistent with a vital role of the prefrontal cortex (PFC), WM stability or decline was related to maintained or reduced longitudinal PFC functional responses. Subsequent analyses of imaging markers of general brain maintenance revealed higher levels in the stable WM group on measures of neurotransmission and vascular health. Also, categorical and continuous analyses showed that rate of WM decline was related to global (ventricles) and local (hippocampus) measures of neuronal integrity. Thus, our findings support a role of the PFC as well as general brain maintenance in explaining heterogeneity in longitudinal WM trajectories in aging.

Neurological disorders can manifest with altered neurofluid dynamics in different compartments of the central nervous system. These include alterations in cerebral blood flow, cerebrospinal fluid (CSF) flow, and tissue biomechanics. Noninvasive quantitative assessment of neurofluid flow and tissue motion is feasible with phase contrast magnetic resonance imaging (PC MRI). While two-dimensional (2D) PC MRI is routinely utilized in research and clinical settings to assess flow dynamics through a single imaging slice, comprehensive neurofluid dynamic assessment can be limited or impractical. Recently, four-dimensional (4D) flow MRI (or time-resolved three-dimensional PC with three-directional velocity encoding) has emerged as a powerful extension of 2D PC, allowing for large volumetric coverage of fluid velocities at high spatiotemporal resolution within clinically reasonable scan times. Yet, most 4D flow studies have focused on blood flow imaging. Characterizing CSF flow dynamics with 4D flow (i.e., 4D CSF flow) is of high interest to understand normal brain and spine physiology, but also to study neurological disorders such as dysfunctional brain metabolite waste clearance, where CSF dynamics appear to play an important role. However, 4D CSF flow imaging is challenged by the long T1 time of CSF and slower velocities compared with blood flow, which can result in longer scan times from low flip angles and extended motion-sensitive gradients, hindering clinical adoption. In this work, we review the state of 4D CSF flow MRI including challenges, novel solutions from current research and ongoing needs, examples of clinical and research applications, and discuss an outlook on the future of 4D CSF flow.

4D flow magnetic resonance imaging (MRI) is increasingly recognizedas a versatile tool to assess arterial and venous hemodynamics. Cerebral arterial pulsatility is typically assessed by analyzing flow waveforms over the cardiac cycle, where flow amplitude is a function of cardiac output, central arterial stiffness, and cerebrovascular resistance and compliance. Excessive pulsatility may propagate to the cerebral microcirculation, and constitute a harmful mechanism for the brain. Indeed, imaging studies have linked arterial pulsatility to hippocampus volume, cerebral small vessel disease (SVD), and Alzheimer’s disease (AD). In animal models, elevated pulsatility leads to blood-brain barrier (BBB) leakage, capillary loss, and cognitive decline. However, associations to cerebrovascular lesions and brain function in the spectrum of normal aging are less investigated. Further, previous 4D flow studies have mainly assessed pulsatility in relatively large cerebral arteries. When exploring links to microvascular damage and brain function, more distal measurements, closer to the microcirculation, are desired. 

This thesis aimed to develop 4D flow MRI post-processing methods to obtain pulsatile waveforms in small, distal cerebral arteries with noisy velocity data and a complex vascular anatomy, and to evaluate pulsatility (primarily assessed by the pulsatility index) in relation to aging, brain function, and other imaging biomarkers of cerebrovascular damage, with particular dedication towards the hippocampus and cerebral SVD. 

To assess pulsatility in distal cerebral arteries, a post-processing method that automatically samples waveforms from numerous small arteries, to obtain a whole-brain representation of the distal arterial waveform, was developed (Paper I). We demonstrated the importance of averaging flow waveforms along multiple vessel segments to avoid overestimations in the pulsatility index, showed agreement with reference methods, and linked distal arterial pulsatility to age. 

To explore links to hippocampal function, we evaluated pulsatility in relation to cognition, hemodynamic low-frequency oscillations (LFOs), perfusion, and hippocampus volume (Paper II). We found that higher pulsatility was linked to worse hippocampus-sensitive episodic memory, weaker hippocampal LFOs, and lower whole-brain perfusion. These findings aligned with models suggesting that hippocampal microvessels could be particularly susceptible to pulsatile stress.

To inform on SVD pathophysiology, we evaluated 5-year associations among pulsatility, white matter lesions (WMLs) and perivascular space (PVS) dilation, using mixed models, factor analysis, and change score models (Paper III). Lead-lag analyses indicated that, while pulsatility at baseline could not predict WML nor PVS progression, WML and PVS volumes at baseline predicted 5-year pulsatility-increases. These findings indicate that individuals with a higher load of cerebrovascular damage are more prone to see increased pulsatility over time, and suggest that high pulsatility is a manifestation, rather a risk factor, for cerebral SVD.   

To shed light on the potential role of BBB leakage in aging and SVD, we used dynamic contrast enhanced (DCE) MRI and intravenous gadolinium injections to quantify BBB permeability (Paper IV). We found stepwise increases in permeability from healthy white matter to WMLs, supporting that BBB leakages are implicated in SVD. However, hippocampal BBB permeability was unrelated to age, indicating that this capillary property is maintained in aging. Finally, arterial pulsatility was unrelated to BBB permeability in WMLs and in the hippocampus, providing no evidence of excessive pulsatility as a trigger of BBB leakage. 

In conclusion, distal arterial pulsatility measurements are reliable when averaging 4D flow waveforms over a large number of vessels. Pulsatility increases with age, and individuals with more cerebrovascular lesions are prone to see larger increases over time. Pulsatility is negatively related to perfusion and hippocampal function. However, the temporal dynamics among the SVD biomarkers, and the absence of pulsatility–permeability associations, challenge the concept of excessive pulsatility as a trigger of microvascular damage. Future studies are needed to understand whether altered cerebral hemodynamics play a causal role in cognitive decline and dementia. Meanwhile, 4D flow hemodynamic parameters could be useful as biomarkers related to vessel properties and cerebrovascular health. 

Microvascular damage in the hippocampus is emerging as a central cause of cognitive decline and dementia in aging. This could be a consequence of age-related decreases in vascular elasticity, exposing hippocampal capillaries to excessive cardiac-related pulsatile flow that disrupts the blood-brain barrier and the neurovascular unit. Previous studies have found altered intracranial hemodynamics in cognitive impairment and dementia, as well as negative associations between pulsatility and hippocampal volume. However, evidence linking features of the cerebral arterial flow waveform to hippocampal function is lacking. We used a high-resolution 4D flow MRI approach to estimate global representations of the time-resolved flow waveform in distal cortical arteries and in proximal arteries feeding the brain in healthy older adults. Waveform-based clustering revealed a group of individuals featuring steep systolic onset and high amplitude that had poorer hippocampus-sensitive episodic memory (p = 0.003), lower whole-brain perfusion (p = 0.001), and weaker microvascular low-frequency oscillations in the hippocampus (p = 0.035) and parahippocampal gyrus (p = 0.005), potentially indicating compromised neurovascular unit integrity. Our findings suggest that aberrant hemodynamic forces contribute to cerebral microvascular and hippocampal dysfunction in aging.

Blood-brain barrier (BBB) disruption may contribute to cognitive decline, but questions remain whether this association is more pronounced for certain brain regions, such as the hippocampus, or represents a whole-brain mechanism. Further, whether human BBB leakage is triggered by excessive vascular pulsatility, as suggested by animal studies, remains unknown. In a prospective cohort (N = 50; 68-84 years), we used contrast-enhanced MRI to estimate the permeability-surface area product (PS) and fractional plasma volume ( formula presented ), and 4D flow MRI to assess cerebral arterial pulsatility. Cognition was assessed by the Montreal Cognitive Assessment (MoCA) score. We hypothesized that high PS would be associated with high arterial pulsatility, and that links to cognition would be specific to hippocampal PS. For 15 brain regions, PS ranged from 0.38 to 0.85 (·10-3 min-1) and formula presented from 0.79 to 1.78%. Cognition was related to PS (·10-3 min-1) in hippocampus (β = - 2.9; p = 0.006), basal ganglia (β = - 2.3; p = 0.04), white matter (β = - 2.6; p = 0.04), whole-brain (β = - 2.7; p = 0.04) and borderline-related for cortex (β = - 2.7; p = 0.076). Pulsatility was unrelated to PS for all regions (p > 0.19). Our findings suggest PS-cognition links mainly reflect a whole-brain phenomenon with only slightly more pronounced links for the hippocampus, and provide no evidence of excessive pulsatility as a trigger of BBB disruption.

Background: Cerebrospinal fluid (CSF) dynamics are increasingly studied in aging and neurological disorders. Models of CSF-mediated waste clearance suggest that altered CSF dynamics could play a role in the accumulation of toxic waste in the CNS, with implications for Alzheimer’s disease and other proteinopathies. Therefore, approaches that enable quantitative and volumetric assessment of CSF flow velocities could be of value. In this study we demonstrate the feasibility of 4D flow MRI for simultaneous assessment of CSF dynamics throughout the ventricular system, and evaluate associations to arterial pulsatility, ventricular volumes, and age.

Methods: In a cognitively unimpaired cohort (N = 43; age 41–83 years), cardiac-resolved 4D flow MRI CSF velocities were obtained in the lateral ventricles (LV), foramens of Monro, third and fourth ventricles (V3 and V4), the cerebral aqueduct (CA) and the spinal canal (SC), using a velocity encoding (venc) of 5 cm/s. Cerebral blood flow pulsatility was also assessed with 4D flow (venc = 80 cm/s), and CSF volumes were obtained from T1- and T2-weighted MRI. Multiple linear regression was used to assess effects of age, ventricular volumes, and arterial pulsatility on CSF velocities.

Results: Cardiac-driven CSF dynamics were observed in all CSF spaces, with region-averaged velocity range and root-mean-square (RMS) velocity encompassing from very low in the LVs (RMS 0.25 ± 0.08; range 0.85 ± 0.28 mm/s) to relatively high in the CA (RMS 6.29 ± 2.87; range 18.6 ± 15.2 mm/s). In the regression models, CSF velocity was significantly related to age in 5/6 regions, to CSF space volume in 2/3 regions, and to arterial pulsatility in 3/6 regions. Group-averaged waveforms indicated distinct CSF flow propagation delays throughout CSF spaces, particularly between the SC and LVs.

Conclusions: Our findings show that 4D flow MRI enables assessment of CSF dynamics throughout the ventricular system, and captures independent effects of age, CSF space morphology, and arterial pulsatility on CSF motion.