The SDS2 study (SmartFlat for Dysexecutive Syndrome Stratification - a prospective study quantifying cognitive and behavioral executive dysfunction in patients with acquired brain lesions): statistical analysis plan DOI Creative Commons

Rémy Chapelle,

Flavie Bompaire, Ioannis Bargiotas

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 29, 2023

Abstract Background: Evaluating executive dysfunction in brain-damaged patients remains a significant challenge neurology. Current standard neuropsychological tests, although internally valid, often lack ecological validity. The SDS2 study aims to address this limitation and improve the understanding of by collecting multi-modal data including results from semi-ecological tests. These tests are designed be more reflective real-world challenges faced individuals with dysfunction. Methods: relies on longitudinal, non-randomized design, focusing Arc de Triomphe Construction Test as primary outcome. Various statistical methods, Receiver Operating Characteristic curves, logistic regression models, intraclass correlation coefficients, will used assess performance validity test. Missing handled using multiple imputation techniques. Secondary, subgroup, exploratory analyses focus various aspects collected dataset. Discussion: study's comprehensive framework contribute refining proposed use established methods originating fields state-of-the-art machine learning algorithms seems particularly suited for complex heterogeneous involved. also represent valuable opportunity develop new analysis methods. Trial registration: ClinicalTrials.gov Identifier: NCT05017051. IDRCB: 2021-A00087-34.

Language: Английский

Connectome-based prediction modeling of cognitive control using functional and structural connectivity DOI

Qiuyu Lv,

Xuanyi Wang, Xiang Wang

et al.

Brain and Cognition, Journal Year: 2024, Volume and Issue: 181, P. 106221 - 106221

Published: Sept. 8, 2024

Language: Английский

Citations

1
Trail making test – black & white (TMT B&W): Normative study for the Chilean population DOI
Claudia Carvallo, Miguel Ramos‐Henderson

Journal of Neuropsychology, Journal Year: 2024, Volume and Issue: 18(3), P. 415 - 426

Published: April 26, 2024

Abstract The trailmaking test (TMT) has an educational bias that makes it inapplicable to people with low levels of education due its dependence on the alphabet. TMT standardization is only one available in Chile, and there a need for alternative ways using do not depend level applicability. To determine normative scores – black & white (TMT B&W), considering sociodemographic factors adult elderly Chilean population. A total sample 227 participants (133 healthy, 94 cognitively impaired) from Ageing Mets cohort were recruited three areas Chile (Antofagasta, Santiago, Puerto Montt). B&W was administered all participants. multiple regression model used generate data healthy group, effect age, sex. significant age found score Parts B. influenced part B test; however, completion rate parts over 90% people. Norms number errors obtained, differences between groups after controlling education. This study first provide version will benefit clinical neuropsychologists by improving procedures more accurately assessing executive functions impairments.

Language: Английский

Citations

0
Normative data for executive function tests in an Ecuadorian Waranka minority population DOI Creative Commons
María José Fierro Bósquez, Laiene Olabarrieta‐Landa, Bryan R. Christ

et al.

The Clinical Neuropsychologist, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: June 30, 2024

To generate normative data (ND) for executive functions tests in the Waranka minority population of Ecuador.

Language: Английский

Citations

0
Intraindividual variability in daily cognitive performance is associated with white matter organization of the superior longitudinal fasciculus in healthy adults DOI Open Access
Jake Burnett, Annalee L. Cobden, Alex Burmester

et al.

Published: Aug. 16, 2024

Behavioural studies have traditionally focused on mean differences in cognitive performance between individuals, often regarding fluctuations within individuals over time as measurement error. However, recent research emphasizes that cognition is inherently dynamic, exhibiting high within-person variability time. This intraindividual (IIV) has been suggested an important marker of attentional control and brain functioning. Stability supported by the organisation fronto-parietal tracts, such superior longitudinal fasciculus (SLF). In present study, we investigate relationship IIV daily fibre-specific white matter characteristics SLF 30 healthy adults (aged 21 to 62 years, 19 females). Participants underwent a diffusion MRI scan followed ecological momentary assessment (EMA) working memory processing speed 30-day period. Using fixel-based analysis (FBA) framework, investigated association microstructural fibre density (FD) macrostructural cross section (FC) SLF. Our results revealed degree across each task, particularly for tasks. Moreover, higher was negatively associated with average but not Finally, lower visual were decreased microstructure macrostructure. findings indicate variation micro/macrostructure pathway may play role supporting stability time, highlighting its potential understanding dynamics clinical populations.

Language: Английский

Citations

0
Recovery of Verbal Working Memory Depends on Left Hemisphere White Matter Tracts DOI Creative Commons
Randi C. Martin, Junhua Ding,

Ali I Alwani

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 17, 2024

Researchers propose that the recovery of language function following stroke depends on recruitment perilesional regions in left hemisphere and/or homologous right hemisphere. Many investigations focus changes gray matter regions, whereas relatively few examine white tracts and none address role these verbal working memory (WM). The present study addressed gaps, examining vs. longitudinal phonological semantic WM. For 24 individuals with stroke, we assessed WM performance within one week (acute timepoint) at more than six months after (chronic timepoint). To whether or tracts, were related to integrity five which had been implicated previously their analogues. Behavioral results showed significant improvement but not from acute chronic timepoints. Improvements significantly correlated tract as measured by functional anisotropy direct segment arcuate fasciculus, inferior fronto-occipital fasciculus fasciculus. confirm support involvement rather

Language: Английский

Citations

0
SIRT6 modulates lesion microenvironment in LPC induced demyelination by targeting astrocytic CHI3L1 DOI Creative Commons
Jingyi Du, Yue Yin,

Dong Wu

et al.

Journal of Neuroinflammation, Journal Year: 2024, Volume and Issue: 21(1)

Published: Sept. 28, 2024

Language: Английский

Citations

0
Midlife Dynamics of White Matter Architecture in Lexical Production DOI Creative Commons
Clément Guichet, Élise Roger, Arnaud Attyé

et al.

Neurobiology of Aging, Journal Year: 2024, Volume and Issue: 144, P. 138 - 152

Published: Sept. 28, 2024

Language: Английский

Citations

0
Fiber Microstructure Quantile (FMQ) Regression: A Novel Statistical Approach for Analyzing White Matter Bundles from Periphery to Core DOI Creative Commons
Lan Zhou, Yuqian Chen,

Jarrett Rushmore

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

Abstract The structural connections of the brain’s white matter are critical for brain function. Diffusion MRI tractography enables in-vivo reconstruction fiber bundles and study their relationship to covariates interest, such as neurobehavioral or clinical factors. In this work, we introduce Fiber Microstructure Quantile (FMQ) Regression, a new statistical approach studying association between scalar factors (e.g., cognitive scores). Our analyzes tissue microstructure measures based on quantile-specific bundle regions . These defined in data-driven fashion according quantiles fractional anisotropy (FA) population bundle, which pools all individuals’ bundles. FA induce natural subdivision defining from periphery (low FA) core (high bundle. To investigate how relates employ technique quantile regression. Unlike ordinary regression, only models conditional mean, regression response variable. This proposed analysis, where is fitted each region. demonstrate FMQ perform an illustrative large healthy young adult dataset derived Human Connectome Project-Young Adult (HCP-YA), focusing particular expected relate aspects cognition motor comparison with traditional analyses Mean Automated Quantification (AFQ), find that Regression provides superior model fit lowest mean squared error. demonstrates captures more effectively than compared approaches. results suggest analysis by quantiles, powerful detecting brain-behavior associations AFQ, along trajectory finds significant multiple bundles, including findings unique males females. both females, language performance significantly associated left arcuate fasciculus, stronger bundle’s periphery. only, memory uncinate particularly intermediate females right corticospinal tracts, slightly lower at higher toward core. No relationships found executive function cingulum FA. can provide insight into also identify several highlighting importance considering sex differences future research.

Language: Английский

Citations

0
Unraveling the Pathophysiology of Restless Legs Syndrome from Multimodal MRI Techniques: A Systematic Review DOI
Tapas Pani, Maria P. Mogavero, Raffaele Ferri

et al.

Sleep Medicine, Journal Year: 2024, Volume and Issue: 125, P. 31 - 56

Published: Nov. 13, 2024

Language: Английский

Citations

0
Pubertal hormones and the early adolescent female brain: a multimodality brain MRI study DOI Creative Commons
Muskan Khetan, Nandita Vijayakumar, Ye Tian

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

ABSTRACT Puberty is a critical developmental process that associated with changes in steroid hormone levels, which are believed to influence adolescent behaviour via their effects on the developing brain. So far, there limited and inconsistent findings regarding relationship between hormones brain structure function females, many existing studies employing small sample sizes. Thus, this study, we explored association oestradiol (E2), testosterone (Tes) dehydroepiandrosterone (DHEA) (gray matter volume, sulcal depth, cortical thickness white microstructure) (resting-state connectivity, emotional n-back task-related function) 3024 females (age 8.92 - 13.33 years, mean age (SD) = 10.37 (0.94) years) from Adolescent Brain Cognitive Development SM (ABCD ® ) Study. We used elastic-net regression cross- validation investigate associations phenotypes derived multiple imaging modalities. found structural features, including thickness, microstructure, were among most important features hormones. E2 was strongly prefrontal premotor regions involved working memory emotion processing, while Tes DHEA parietal occipital visuospatial functioning. All three also prefrontal, temporoparietal junction insula cortices. using an advanced methodological approach, study suggests both unique overlapping neural correlates of pubertal sheds light mechanisms by puberty influences development behaviour.

Language: Английский

Citations

0