source · text/csv
source_94628303afdc477c
sha256 834a8d199a0d8e4c307c92b7eefc457f62f2f1ed5194222b4635f61ba1ea0959
by researka:v2 · 2026-06-21 20:20:34.049432+04:00
study,population,intervention_or_exposure,comparator,endpoint,effect,risk_of_bias,directness Association of peripheral immune markers with brain age and dementia risk estimated using deep learning methods,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Brain age vector: A measure of brain aging with enhanced neurodegenerative disorder specificity,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary More than chronic pain: behavioural and psychosocial protective factors predict lower brain age in adults with/at risk of knee osteoarthritis over two years,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary The impact of balance exercise on brain age and brain morphometry: insights from MRI analysis,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Cardiometabolic risk factors and brain age: a meta-analysis to quantify brain structural differences related to diabetes, hypertension, and obesity",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,review-level Prediction of brain age using quantitative parameters of synthetic magnetic resonance imaging,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled clinical trial,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Machine Learning–Based Sleep Electroencephalographic Brain Age Index and Dementia Risk,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary MRI-informed machine learning-driven brain age models for classifying mild cognitive impairment converters,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational study,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Increased MRI-based Brain Age in chronic migraine patients,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Novel Volumetric and Surface-Based Magnetic Resonance Indices of the Aging Brain – Does Male and Female Brain Age in the Same Way?,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Brain age gap reduction following exercise mirrors clinical improvements in schizophrenia spectrum disorders,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Brain age in genetic and idiopathic Parkinson's disease,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,review-level A deep learning model for brain age prediction using minimally preprocessed T1w images as input,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Association between low‐frequency oscillations in blood pressure variability and brain age derived from neuroimaging,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Brain age gap, dementia risk factors and cognition in middle age",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary The value of arterial spin labelling perfusion MRI in brain age prediction,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Impact of meditation on brain age derived from multimodal neuroimaging in experts and older adults from a randomized trial,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,review-level "ASSOCIATIONS BETWEEN CARDIORESPIRATORY FITNESS, BRAIN AGE, AND NEURODEGENERATION AMONG OLDER ADULTS",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Toward MR protocol-agnostic, unbiased brain age predicted from clinical-grade MRIs",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Decoding MRI-informed brain age using mutual information,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Longitudinal accelerated brain age in mild cognitive impairment and Alzheimer’s disease,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Meditation Linked to Enhanced MRI Signal Intensity in the Pineal Gland and Reduced Predicted Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Increased Brain Age Among Psychiatrically Healthy Adults Exposed to Childhood Trauma,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary MRI-based whole-brain elastography and volumetric measurements to predict brain age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Investigating the Association of Frailty Score and Diabetes with Relative Brain Age : Insights from the UK Biobank,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Sleep Patterns in Midlife and Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Plasma‐based Brain Age as a Biomarker for Cognitive Health and Risk of Brain‐Related Diseases,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Advanced brain age prediction using 3D convolutional neural network on structural MRI,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Examining the reliability of brain age algorithms under varying degrees of participant motion,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Brain age gap estimation using attention-based ResNet method for Alzheimer’s disease detection,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Predicting brain age using Tri-UNet and various MRI scale features,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary The association between a pro‐inflammatory diet and machine learning‐based brain age in middle‐aged and older adults: Findings from the UK Biobank,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary A PROTEOMICS-BASED MEASURE OF ACCELERATING AGING IS CORRELATED WITH THE BRAIN AGE GAP IN THE ARIC STUDY,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary White Matter Hyperintensities on Brain MRI are Related to Brain Atrophy and Accelerated Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Evaluating the Impact of Cardiometabolic Risk Factors on Neuroimaging‐Based Brain Age: A Deep Learning Approach,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Association between cardiovascular disease risk, regional brain age gap, and cognition in healthy adults",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary White Matter Hyperintensities on Brain MRI are Related to Brain Atrophy and Accelerated Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary The Impact of Brain Age versus Chronological Age on Cognitive Fatigue: Novel Metrics and New Insights,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Efficient Brain Age Prediction from 3D MRI Volumes Using 2D Projections,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Predicting brain age during typical and atypical development based on structural and functional neuroimaging,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "Brain Age Acceleration on MRI Due to Poor Sleep: Associations, Mechanisms, and Clinical Implications",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "PROTEOMIC BRAIN AGE GAP, DEMENTIA RISK, AND BRAIN VOLUME MEASUREMENTS",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Sex Differences in Brain Age Gap Estimation Across Alzheimer's Disease Diagnostic Groups,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Chronic Medical Conditions and Dementia Risk: Brain Age Models for Quantifying Impact and Understanding Mechanisms,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Chronic Medical Conditions and Dementia Risk: Brain Age Models for Quantifying Impact and Understanding Mechanisms,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Sex Differences in Brain Age Gap Estimation Across Alzheimer's Disease Diagnostic Groups,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Developing scanner change invariant brain age models for aging and dementia studies,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Higher Muscle Volume is Inversely Related to Chronological and Brain Age While Increased Visceral to Muscle Fat Ratio is Positively Related to Chronological and Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Simple fully convolutional network to estimate Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Higher Muscle Volume is Inversely Related to Chronological and Brain Age While Increased Visceral to Muscle Fat Ratio is Positively Related to Chronological and Brain Age,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary REPRODUCIBILITY OF BRAIN AGE SALIENCIES ACROSS DEEP NEURAL NETWORK ARCHITECTURES,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary "**Outcome class** is assigned from the source's bound endpoint, population, and claim text; adjacent/background sources are separated from clinical outcome slices.",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,citation "**Directness** is coded as direct only when a source tests the topic against a clinically proximate outcome in the relevant population; a qualifying direct source would be a human interventional or hard-endpoint study of the topic itself. Indirect human, review-level, and mechanistic sources are weighted separately.",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,citation "**Directional signal** is counted within the assigned outcome class only. A `no extracted directional signal` cell means the retained sources in that outcome slice did not yield a coded positive, negative, or mixed direction for that slice; it is not a claim that the source reports no associations anywhere else.",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,citation **Evidence tier** follows the deterministic tier/directness taxonomy used in the source builder; the prose writer cannot move a source between classes after sources are frozen.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,citation
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