Publications by authors named "J-M Maillard"
Article Synopsis
- White matter hyperintensities (WMH) are linked to cognitive impairment but solely measuring their volume doesn't fully explain the cognitive deficits.
- Lesion network mapping (LNM) offers a new way to assess how WMH connects with brain networks, potentially improving our understanding of their impact on cognition.
- In a study of 3,485 patients, LNM scores outperformed WMH volumes in predicting cognitive performance, especially in attention, processing speed, and verbal memory, but not for language functions.
Objective: To test the hypothesis that reduced slow-wave sleep, or N3 sleep, which is thought to underlie the restorative functions of sleep, is associated with MRI markers of brain aging, we evaluated this relationship in the community-based Framingham Heart Study Offspring cohort using polysomnography and brain MRI.
Methods: We studied 492 participants (age 58.8 ± 8.
Objective: To determine whether vascular and neurodegenerative factors influence cognition before clinically relevant Alzheimer disease pathology, we analyzed MRI measures and amyloid imaging in an ethnoracially diverse cohort of cognitively normal individuals older than 60 years.
Methods: Participants (n = 154; mean age 74.15 ± 6.
Background And Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings.
Methods: Participants were aged 45 years and older, free of stroke and dementia.
Objective: To determine whether free water (FW) content, initially developed to correct metrics derived from diffusion tensor imaging and recently found to be strongly associated with vascular risk factors, may constitute a sensitive biomarker of white matter (WM) microstructural differences associated with cognitive performance but remains unknown.
Methods: Five hundred thirty-six cognitively diverse individuals, aged 77 ± 8 years, received yearly comprehensive clinical evaluations and a baseline MRI examination of whom 224 underwent follow-up MRI. WM microstructural measures, including FW, fractional anisotropy, and mean diffusivity corrected for FW and WM hyperintensity burden were computed within WM voxels of each individual.
Article Synopsis
- White matter hyperintensities (WMH) on brain MRIs are indicators of small vessel disease and preclinical neurological disorders, but current knowledge on their genetic influences is limited, especially regarding low-frequency and rare coding variants.
- A study involving over 20,000 stroke and dementia-free adults explored the genetic contributions to WMH by analyzing a mix of common and low-frequency variants across different ethnic backgrounds.
- The research found significant associations with common variants in several genes (like TRIM65) and identified novel low-frequency variants in MRPL38, suggesting that both common and rare genetic factors play a role in WMH burden, despite limitations in replication of findings.