Maria del C. Valdés Hernández

Autism spectrum disorder detection using diffusion tensor imaging and machine learning

Noel A. Cardenas-Hernandez, Marlen Perez-Diaz, Karla Batista García-Ramó, Maria del C. Valdés Hernández

Autism spectrum disorder (ASD) is a neurological and developmental disorder that manifests in social and behavioral deficits. The onset of symptoms may begin in early childhood, but diagnosis is often subjective, and scores can vary between specialists. Several studies suggest that diffusion …

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Role of physical fitness in resistance and cognitive resilience against age‐related pathology

Svenja Schwarck, Niklas Behrenbruch, Beate Schumann, Niklas Vockert et autres

Abstract Background Cognitive reserve (CR) and brain maintenance enable the brain to maintain performance despite injury and disease while also reducing neural decline by safeguarding brain structure and function. Physical activity is a potential pathway to BM and CR, as fitness relates …

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Acute physical exercise can exert measurable changes on perivascular spaces volumetry

Christiane Piechowiak, Patrick Müller, Jose Bernal Moyano, Naomi Alice Kunz et autres

Abstract Background Physical activity has been shown to reduce the risk of dementia and the pathological accumulation of amyloid in both animals and humans. One potential explanation for this outcome is that physical activity enhances glymphatic function. In this study we investigated …

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Computational perivascular space volumes derived from magnetic resonance imaging relate to lower cognitive performance and cognitive decline ‐ A multicentre individual patient data meta‐analysis

Francesca M. Chappell, Roberto Duarte, Maria del C. Valdés Hernández, Rosalind Brown et autres

BACKGROUND: Perivascular spaces (PVS), when enlarged, become visible and quantifiable on brain magnetic resonance images (MRI). PVS visibility in MRI has been found to be associated with ageing, hypertension, sleep disorders, and cerebral small vessel disease, but their relationship with cognition in …

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segcsvd PVS : A convolutional neural network‐based tool for quantification of enlarged perivascular spaces (PVS) on T1‐weighted images

Erin Gibson, Joel Ramirez, Lauren Abby Woods, Stephanie Berberian et autres

Abstract Background Enlarged perivascular spaces (PVS) are imaging biomarkers of cerebral small vessel disease (CSVD) associated with age, hypertension, and neurodegenerative conditions. Despite their clinical relevance, accurate quantification of PVS on T1‐weighted magnetic resonance imaging (MRI) remains challenging due to both variability …

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Definitions of white matter hyperintensity change: impact on estimates of progression and regression

Angela C.C. Jochems, Susana Muñoz Maniega, Úna Clancy, Carmen Arteaga et autres

BACKGROUND: White matter hyperintensity (WMH) progression is well documented; WMH regression is more contentious, which might reflect differences in defining WMH change. We compared four existing WMH change definitions in one population to determine the effect of definition on WMH regression. METHODS: …

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Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 Study

Danielle Page, Colin R. Buchanan, Mathew A. Harris, Joanna E. Moodie et autres

Examining underlying neurostructural correlates of specific cognitive abilities is practically and theoretically complicated by the existence of the positive manifold (all cognitive tests positively correlate): if a brain structure is associated with a cognitive task, how much of this is uniquely related …

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Network analysis characterizes key associations between subjective fatigue and specific depressive symptoms in early relapsing-remitting multiple sclerosis

Yuan‐Ting Chang, Patrick K. A. Kearns, Alan Carson, David Gillespie et autres

BACKGROUND: Fatigue is common and disabling in multiple sclerosis (MS), yet its mechanisms are poorly understood. In particular, overlap in measures of fatigue and depression complicates interpretation. We applied a multivariate network approach to quantify relationships between fatigue and other variables in …

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Post-stroke Cognition at 1 and 3 Years Is Influenced by the Location of White Matter Hyperintensities in Patients With Lacunar Stroke

Maria del C. Valdés Hernández, Tara Grimsley-Moore, Francesca M. Chappell, Michael J. Thrippleton et autres

Lacunar strokes are a common type of ischemic stroke. They are known to have long-term cognitive deficits, but the influencing factors are still largely unknown. We investigated if the location of the index lacunar stroke or regional WMH and their change at …

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Systematic review on the variability of the human brain arterial territories assessed using neuroimaging methods

Charlie Betton, Katie Hoban, Maria del C. Valdés Hernández

Imaging methods for brain arterial territories have evolved significantly from cadaver injection techniques to combinations of CT angiography with multiple MRI perfusion techniques. The variability of the brain arterial territories is well acknowledged in the literature. It has been attributed to: (1) …

Systematic Review of the Literature on Definitions and Characterisation of MS Lesions

Filiz Shukru, Maria del C. Valdés Hernández

While inspecting the brain magnetic resonance imaging (MRI) scans from a sample of Multiple Sclerosis (MS) patients, blind to any clinical, cognitive and demographic information, it caught our attention the presence of ovoidal or circular, partially stellate, regions of signal intensities similar …

Longitudinal multi-centre brain imaging studies: guidelines and practical tips for accurate and reproducible imaging endpoints and data sharing

Stewart Wiseman, Rozanna Meijboom, Maria del C. Valdés Hernández, Cyril Pernet et autres

Research involving brain imaging is important for understanding common brain diseases. Study endpoints can include features and measures derived from imaging modalities, providing a benchmark against which other phenotypical data can be assessed. In trials, imaging data provides objective evidence of beneficial …

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