White matter microstructure links with brain, bodily and genetic attributes in adolescence, mid- and late life DOI Creative Commons
Max Korbmacher, Mario Tranfa, Giuseppe Pontillo

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 27, 2024

Advanced diffusion magnetic resonance imaging (dMRI) allows one to probe and assess brain white matter (WM) organization microstructure in vivo. Various dMRI models with different theoretical practical assumptions have been developed, representing partly overlapping characteristics of the underlying biology potentially complementary value cognitive clinical neurosciences. To which degree metrics relate clinically relevant geno- phenotypes is still debated. Hence, we investigate how tract-based whole WM skeleton parameters from single- multi-compartment approaches associate matter-related (sex, age, pulse pressure (PP), body-mass-index (BMI), asymmetry) genetic markers UK Biobank (UKB, n=52,140) Adolescent Brain Cognitive Development (ABCD) Study (n=5,844). Multi-compartment provided strongest associations unique insights into asymmetry. Kurtosis was most indicative PP BMI. WM-based sex classifications polygenic score for common psychiatric disorders Alzheimer's disease were similar across approaches. We conclude that differentially associated pheno- genotypes at points life. approaches, particularly examined Bayesian approach, provide additional information conventional such examinations.

Язык: Английский

Global brain asymmetry and its variations in aging and related diseases DOI Creative Commons
Haoyu Hu, Yi Pu,

Yilamujiang Abuduaini

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 30, 2024

Abstract Functional lateralization is a cardinal feature of human brain, and deviations from typical are observed in various brain disorders. Although this phenomenon has been widely acknowledged the field neuroscience, decades research have shown that it challenge to bridge gap between (a)typically lateralized functions hemispheric differences structure (termed structural asymmetry). To address important question, present study employed state-of-the-art machine learning techniques investigate asymmetry its associations with cognitive functions, aging, aging-related diseases, by integrating large-scale datasets. Our proposed multivariate approach revealed previously unknown substantial left right hemispheres, established global including hand motor emotion processing. Furthermore, at population level we mapped aging trajectories asymmetry, unveiled significant diagnosis-specific variations patients Alzheimer’s disease Parkinson’s disease, individuals carrying relevant genetic risk for atypical (i.e., APOE4 carriers). These results demonstrated left-hemisphere-linked changes which challenged traditional “right hemi-aging” model, offered promising assessing related diseases. Overall, our novel presents one largest-scale investigation takes an step forward understanding intricate interplay health disease. Significance statement fundamental linked Bridging functional long-standing challenge. Using advanced datasets, introduced unidentified correlating these diseases like Parkinson’s. Contrary found changes. This work provides new insights into offering Classifications: Biological Sciences (Psychological Cognitive Sciences);

Язык: Английский

Процитировано

2
Distinct longitudinal brain white matter microstructure changes and associated polygenic risk of common psychiatric disorders and Alzheimer’s disease in the UK Biobank DOI Creative Commons
Max Korbmacher, Dennis van der Meer, Dani Beck

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 20, 2023

During the course of adulthood and ageing, white matter (WM) structure organisation are characterised by slow degradation processes such as demyelination shrinkage. An acceleration ageing process has been linked to development a range diseases. Thus, an accurate description healthy brain maturation, in particular, terms WM features, provides cornerstone understanding ageing. We use longitudinal diffusion magnetic resonance imaging provide overview changes at different spatial temporal scales UK Biobank (UKB) (N=2,678; age scan 1 =62.38±7.23 years; 2 =64.81±7.1 years). To examine genetic overlap between common clinical conditions, we tested associations polygenic risk scores (PGRS) for most neurodegenerative disorder, Alzheimer’s disease, psychiatric disorders (uniand bipolar depression, anxiety, obsessive-compulsive, autism, schizophrenia, attention-deficit-hyperactivity) (N=2,329) crosssectional UKB validation data (N=31,056). Global regional single multi-compartment fractional anisotropy, intra-axonal water fraction, kurtosis metrics decreased , whereas diffusivity metrics, free increased with annual rate change (ARoC) accelerating higher ages both global . Voxel-level trends indicated decreasing variable patterns other suggesting differential frontal compared regions. Although effect sizes were small ARoC middle cerebral peduncle had strongest association PGRS, especially Alzheimer’s: PGRS more strongly related than cross-sectional measures ( d =0.03, =0.03). Our findings indicate spatially distributed across brain, well WM. Importantly, reflected disorder better utilised measures, differences giving specific insights into gene-brain averages.

Язык: Английский

Процитировано

4
An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortality DOI Creative Commons

Ethan T. Whitman,

Maxwell L. Elliott, Annchen R. Knodt

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Авг. 22, 2024

To understand how aging affects functional decline and increases disease risk, it is necessary to develop accurate reliable measures of fast a person aging. Epigenetic clocks measure but require DNA methylation data, which many studies lack. Using data from the Dunedin Study, we introduce an for rate longitudinal derived cross-sectional brain MRI: Pace Aging Calculated NeuroImaging or DunedinPACNI. Exporting this Alzheimer's Disease Neuroimaging Initiative UK Biobank neuroimaging datasets revealed that faster DunedinPACNI predicted participants' cognitive impairment, accelerated atrophy, conversion diagnosed dementia. Underscoring close links between body brain, also physical frailty, poor health, future chronic diseases, mortality in older adults. Furthermore, followed expected socioeconomic health gradient. When compared age gap, existing MRI biomarker, was similarly more strongly related clinical outcomes. 'next generation' will be made publicly available research community help accelerate evaluate effectiveness dementia prevention anti-aging strategies.

Язык: Английский

Процитировано

0
White matter microstructure links with brain, bodily and genetic attributes in adolescence, mid- and late life DOI Creative Commons
Max Korbmacher, Mario Tranfa, Giuseppe Pontillo

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 27, 2024

Advanced diffusion magnetic resonance imaging (dMRI) allows one to probe and assess brain white matter (WM) organization microstructure in vivo. Various dMRI models with different theoretical practical assumptions have been developed, representing partly overlapping characteristics of the underlying biology potentially complementary value cognitive clinical neurosciences. To which degree metrics relate clinically relevant geno- phenotypes is still debated. Hence, we investigate how tract-based whole WM skeleton parameters from single- multi-compartment approaches associate matter-related (sex, age, pulse pressure (PP), body-mass-index (BMI), asymmetry) genetic markers UK Biobank (UKB, n=52,140) Adolescent Brain Cognitive Development (ABCD) Study (n=5,844). Multi-compartment provided strongest associations unique insights into asymmetry. Kurtosis was most indicative PP BMI. WM-based sex classifications polygenic score for common psychiatric disorders Alzheimer's disease were similar across approaches. We conclude that differentially associated pheno- genotypes at points life. approaches, particularly examined Bayesian approach, provide additional information conventional such examinations.

Язык: Английский

Процитировано

0