Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI

Voldsbekk, Irene; Maximov, Ivan I.; Zak, Nathalia; Roelfs, Daniël; Geier, Oliver; Due‐Tønnessen, Paulina; Elvsåshagen, Torbjørn; Strømstad, Marie; Bjørnerud, Atle; Groote, Inge Rasmus

doi:10.1016/j.neuroimage.2020.116682

Cited by 29 publications

(34 citation statements)

References 73 publications

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“…Despite the limitations of each model, and possible redundancy between them, assessing age-related white microstructural changes using a combination of diffusion models can be advantageous in order to zero in on idiosyncratic neuroanatomical and microstructural patterns (Alnaes et al, 2018). Biophysical models of WMTI and SMT mc for example, adds the possibility for assessing the separate effect of diffusion in intra-and extra-axonal space (Jelescu & Budde, 2017;Voldsbekk et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Beck

Lange

Maximov

et al. 2020

Preprint

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The macro-and microstructural architecture of human brain white matter undergo substantial alterations throughout development and ageing. Most of our understanding of the spatial and temporal characteristics of these lifespan adaptations come from magnetic resonance imaging (MRI), in particular diffusion MRI (dMRI), which enables visualization and quantification of brain white matter with unprecedented sensitivity and detail. However, with some notable exceptions, previous studies have relied on cross-sectional designs, limited age ranges, and diffusion tensor imaging (DTI) based on conventional single-shell dMRI. In this mixed crosssectional and longitudinal study (mean interval: 15.2 months) including 702 multi-shell dMRI datasets, we combined complementary dMRI models to investigate age trajectories in healthy individuals aged 18 to 94 years (56.98% women). Using linear mixed effect models and machine learning based brain age prediction, we assessed the age-dependence of diffusion metrics, and compared the prediction accuracy of six different diffusion models, including diffusion tensor (DTI) and kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), restriction spectrum imaging (RSI), spherical mean technique multicompartment (SMT-mc), and white matter tract integrity (WMTI). The results showed that the age slopes for conventional DTI metrics (fractional anisotropy [FA], medial diffusivity [MD], radial diffusivity [RD]) were largely consistent with previous research, and that all diffusion models indicated lower white matter integrity with older age. Linear mixed effects models and brain age prediction showed that the 'FA fine' metric of the RSI model and 'orientation dispersion' (OD) metric of the NODDI model showed highest sensitivity to age. The results indicate that advanced diffusion models (DKI, NODDI, RSI, SMT mc, WMTI) yield the capability of detecting sensitive measures of age-related microstructural changes of white matter in the brain that complement and extend the contribution of conventional DTI.

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Section: Discussionmentioning

confidence: 99%

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Beck

Lange

Maximov

et al. 2020

Preprint

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“…For this reason, minimizing the use of Gd-CAs through the development of different MRI strategies for the evaluation of BBB opening dynamics and brain changes is advisable to optimize treatment and ensure patient safety. For example, a local increase of the EES [71,107] induced by FUS-mediated BBB disruption could pave the way for the evaluation of BBB opening using diffusion MRI or multimodal MRI acquisitions, which would allow more in-depth characterization of microstructural brain changes [108,109].…”

Section: Future Perspectives In Mr-guided Bbb Openingmentioning

confidence: 99%

Magnetic Resonance Methods for Focused Ultrasound-Induced Blood-Brain Barrier Opening

et al. 2020

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Since its discovery in 2001, the interest in the low-intensity focused ultrasound (FUS)-mediated blood-brain barrier (BBB) disruption to deliver genes and drugs to brain tissue has increased steadily. Increasingly sophisticated sonication protocols and dedicated hardware are being developed to efficiently and safely permeabilize the BBB, and novel magnetic resonance (MR)-based technologies have been designed to guide FUS-induced BBB opening protocols. MR imaging (MRI) allows not only to more precisely target brain regions and evaluate the outcome of sonication in terms of enhanced BBB permeability but also to control the effects of ultrasound on brain structure and function. This review summarizes the state of the art in current MRI hardware and methods used in BBB opening protocols both in pre-clinical and clinical settings.

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“…Further evidence for the circadian rhythmicity effect on neural measures is put forward by studies investigating cortical excitability, white matter microstructures, brain volume, grey matter density, cortical surface, and thickness (Voldsbekk et al, 2020, Karch et al, 2019, Nakamura, Brown, Narayanan, Collins, & Arnold, 2015Huber et al, 2013;Trefler et al, 2016). Nakamura and colleagues (2015) report that brain volume changes significantly across the day, with larger brain volumes in the morning compared to the evening.…”

Section: Introductionmentioning

confidence: 99%

“…healthy elderly individuals, patients suffering from multiple sclerosis, mild cognitive impairment, and Alzheimer's disease (Nakamura et al, 2015). Morphometry measures suggest that increased volumes of cerebrospinal fluid CSF are associated with decreased volumes of grey and white matter (Trefler et al, 2016) and that the extracellular space volume is reduced in large parts of the white matter from morning to evening (Voldsbekk et al, 2020). It is suggested that the volume changes might also be associated with the level of individual hydration, where levels of hydration have previously been shown to have an effect on evoked BOLD signal captured by fMRI (Kempton et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…It is suggested that the volume changes might also be associated with the level of individual hydration, where levels of hydration have previously been shown to have an effect on evoked BOLD signal captured by fMRI (Kempton et al, 2011). Given the existing body of literature, it is reasonable to question whether the captured individual differences in a healthy population, or group differences in clinical neuroimaging literature are indeed independent from the timing of the acquired scan (Trefler et al, 2016;Voldsbekk et al, 2020;Karsch et al,2019). It is not recognized as a common practice to report the image acquisition time in neuroimaging studies, therefore it remains a possibly biasing factor.…”

Section: Introductionmentioning

confidence: 99%

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Time-of-day effects in resting-state fMRI: changes in Effective Connectivity and BOLD signal

Vaisvilaite

Hushagen

Grønli

et al. 2020

Preprint

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Findings from neuroimaging studies show low replication rates, but the origin of the problem is not clear. The current project explored the extent of the time-of-day dependent metabolic variation to the replication crisis. Using data from the human connectome project (HCP) release S1200, cross-spectral density dynamic causal modelling was used to analyse time-dependent effects on the hemodynamic response and effective connectivity parameters in the spontaneous fluctuations (>0.1Hz) of the blood oxygenation level dependent (BOLD) signal. Hierarchical group-parametric empirical Bayes found no support for time-of-day variations in effective connectivity, whereas the hemodynamic parameters exhibited a significant time-of-day dependent effect. It is concluded that these findings urge the need to account for the time of day in data acquisition of future MRI studies. Moreover, data from the human connectome project suggest that the relationship between functional and dynamic connectivity and the BOLD signal might not be direct.

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Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI

Cited by 29 publications

References 73 publications

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Magnetic Resonance Methods for Focused Ultrasound-Induced Blood-Brain Barrier Opening

Time-of-day effects in resting-state fMRI: changes in Effective Connectivity and BOLD signal

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