LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 5 of total 5

Search options

  1. Article: Subtypes of brain change in aging and their associations with cognition and Alzheimer's disease biomarkers.

    Capogna, Elettra / Sørensen, Øystein / Watne, Leiv Otto / Roe, James / Strømstad, Marie / Idland, Ane Victoria / Halaas, Nathalie Bodd / Blennow, Kaj / Zetterberg, Henrik / Walhovd, Kristine Beate / Fjell, Anders Martin / Vidal-Piñeiro, Didac

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Structural brain changes underly cognitive changes in older age and contribute to inter-individual variability in cognition. Here, we assessed how changes in cortical thickness, surface area, and subcortical volume, are related to cognitive change in ... ...

    Abstract Structural brain changes underly cognitive changes in older age and contribute to inter-individual variability in cognition. Here, we assessed how changes in cortical thickness, surface area, and subcortical volume, are related to cognitive change in cognitively unimpaired older adults using structural magnetic resonance imaging (MRI) data-driven clustering. Specifically, we tested (1) which brain structural changes over time predict cognitive change in older age (2) whether these are associated with core cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers phosphorylated tau (p-tau) and amyloid-β (Aβ42), and (3) the degree of overlap between clusters derived from different structural features. In total 1899 cognitively healthy older adults (50 - 93 years) were followed up to 16 years with neuropsychological and structural MRI assessments, a subsample of which (n = 612) had CSF p-tau and Aβ42 measurements. We applied Monte-Carlo Reference-based Consensus clustering to identify subgroups of older adults based on structural brain change patterns over time. Four clusters for each brain feature were identified, representing the degree of longitudinal brain decline. Each brain feature provided a unique contribution to brain aging as clusters were largely independent across modalities. Cognitive change and baseline cognition were best predicted by cortical area change, whereas higher levels of p-tau and Aβ42 were associated with changes in subcortical volume. These results provide insights into the link between changes in brain morphology and cognition, which may translate to a better understanding of different aging trajectories.
    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.04.583291
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Corrigendum to "Sleep and sleep deprivation differentially alter white matter microstructure: A mixed model design utilising advanced diffusion modelling".

    Voldsbekk, Irene / Groote, Inge / Zak, Nathalia / Roelfs, Daniël / Geier, Oliver / Due-Tønnessen, Paulina / Løkken, Lise-Linn / Strømstad, Marie / Blakstvedt, Taran Y / Kuiper, Yvonne S / Elvsåshagen, Torbjørn / Westlye, Lars T / Bjørnerud, Atle / Maximov, Ivan I

    NeuroImage

    2023  Volume 270, Page(s) 119939

    Language English
    Publishing date 2023-02-24
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2023.119939
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Evidence for widespread alterations in cortical microstructure after 32 h of sleep deprivation.

    Voldsbekk, Irene / Bjørnerud, Atle / Groote, Inge / Zak, Nathalia / Roelfs, Daniel / Maximov, Ivan I / Geier, Oliver / Due-Tønnessen, Paulina / Bøen, Erlend / Kuiper, Yvonne S / Løkken, Lise-Linn / Strømstad, Marie / Blakstvedt, Taran Y / Bjorvatn, Bjørn / Malt, Ulrik F / Westlye, Lars T / Elvsåshagen, Torbjørn / Grydeland, Håkon

    Translational psychiatry

    2022  Volume 12, Issue 1, Page(s) 161

    Abstract: Cortical microstructure is influenced by circadian rhythm and sleep deprivation, yet the precise underpinnings of these effects remain unclear. The ratio between ... ...

    Abstract Cortical microstructure is influenced by circadian rhythm and sleep deprivation, yet the precise underpinnings of these effects remain unclear. The ratio between T
    MeSH term(s) Brain ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Myelin Sheath/pathology ; Sleep Deprivation/diagnostic imaging ; Young Adult
    Language English
    Publishing date 2022-04-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-022-01909-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Sleep and sleep deprivation differentially alter white matter microstructure: A mixed model design utilising advanced diffusion modelling.

    Voldsbekk, Irene / Groote, Inge / Zak, Nathalia / Roelfs, Daniël / Geier, Oliver / Due-Tønnessen, Paulina / Løkken, Lise-Linn / Strømstad, Marie / Blakstvedt, Taran Y / Kuiper, Yvonne S / Elvsåshagen, Torbjørn / Westlye, Lars T / Bjørnerud, Atle / Maximov, Ivan I

    NeuroImage

    2020  Volume 226, Page(s) 117540

    Abstract: Sleep deprivation influences several critical functions, yet how it affects human brain white matter (WM) is not well understood. The aim of the present work was to investigate the effect of 32 hours of sleep deprivation on WM microstructure compared to ... ...

    Abstract Sleep deprivation influences several critical functions, yet how it affects human brain white matter (WM) is not well understood. The aim of the present work was to investigate the effect of 32 hours of sleep deprivation on WM microstructure compared to changes observed in a normal sleep-wake cycle (SWC). To this end, we utilised diffusion weighted imaging (DWI) including the diffusion tensor model, diffusion kurtosis imaging and the spherical mean technique, a novel biophysical diffusion model. 46 healthy adults (23 sleep deprived vs 23 with normal SWC) underwent DWI across four time points (morning, evening, next day morning and next day afternoon, after a total of 32 hours). Linear mixed models revealed significant group × time interaction effects, indicating that sleep deprivation and normal SWC differentially affect WM microstructure. Voxel-wise comparisons showed that these effects spanned large, bilateral WM regions. These findings provide important insight into how sleep deprivation affects the human brain.
    MeSH term(s) Adult ; Brain/diagnostic imaging ; Brain/pathology ; Diffusion Tensor Imaging/methods ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Male ; Sleep/physiology ; Sleep Deprivation/diagnostic imaging ; Sleep Deprivation/pathology ; White Matter/diagnostic imaging ; White Matter/pathology
    Language English
    Publishing date 2020-11-10
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2020.117540
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: 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

    NeuroImage

    2020  Volume 212, Page(s) 116682

    Abstract: Recently, several magnetic resonance imaging (MRI) studies have reported time-of-day effects on brain structure and function. Due to the possibility that time-of-day effects reflect mechanisms of circadian regulation, the aim of this prospective study ... ...

    Abstract Recently, several magnetic resonance imaging (MRI) studies have reported time-of-day effects on brain structure and function. Due to the possibility that time-of-day effects reflect mechanisms of circadian regulation, the aim of this prospective study was to assess these effects while under strict experimental control of variables that might influence biological clocks, such as caffeine intake and exposure to blue-emitting light. In addition, the current study assessed whether time-of-day effects were driven by changes to extracellular space, by including estimations of non-Gaussian diffusion metrics obtained from diffusion kurtosis imaging, white matter tract integrity and the spherical mean technique, in addition to conventional diffusion tensor imaging -derived parameters. Participants were 47 healthy adults who underwent diffusion-weighted imaging in the morning and evening of the same day. Morning and evening scans were compared using voxel-wise tract based spatial statistics and permutation testing. A day of wakefulness was associated with widespread increases in fractional anisotropy, indices of kurtosis and indices of the axonal water fraction. In addition, wakefulness was associated with widespread decreases in radial diffusivity, both in the single compartment and in extra-axonal space. These results suggest that an increase in the intra-axonal space relative to the extra-axonal volume underlies time-of-day effects in human white matter, which is in line with activity-induced reductions to the extracellular volume. These findings provide important insight into possible mechanisms driving time-of-day effects in MRI.
    MeSH term(s) Adult ; Brain ; Diffusion Magnetic Resonance Imaging/methods ; Extracellular Space ; Female ; Humans ; Male ; Time Factors ; Wakefulness ; White Matter
    Language English
    Publishing date 2020-02-28
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2020.116682
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top