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Applying Functional MRI to Study Adolescent Substance Use
Functional magnetic resonance imaging is a tool used to examine brain activity both at rest and in response to a variety of stimuli or tasks.... -
Brain intrinsic magnetic susceptibility map** depicts whole-brain functional connectivity balance of normal aging in lifespan
We hypothesized that brain normal aging maintains a balanced whole-brain functional connectivity (FC) in lifetime: some connections decline while...
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Functional and Physiological MRI Measures as Early Biomarkers for Huntington’s Disease
Huntington’s disease (HD) is a devastating neurodegenerative disease affecting the brain resulting in neuronal dysfunction and degeneration. The... -
HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations
We introduce HumanBrainAtlas, an initiative to construct a highly detailed, open-access atlas of the living human brain that combines high-resolution...
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Effect of spaceflight experience on human brain structure, microstructure, and function: systematic review of neuroimaging studies
Spaceflight-induced brain changes have been commonly reported in astronauts. The role of microgravity in the alteration of the brain structure,...
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Grey matter changes on brain MRI in subjective cognitive decline: a systematic review
IntroductionPeople with subjective cognitive decline (SCD) report cognitive deterioration. However, their performance in neuropsychological...
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An atlas of classifiers—a machine learning paradigm for brain MRI segmentation
We present the Atlas of Classifiers (AoC)—a conceptually novel framework for brain MRI segmentation. The AoC is a spatial map of voxel-wise...
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An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets
The increasing use of neuroimaging in clinical research has driven the creation of many large imaging datasets. However, these datasets often rely on...
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Imaging the neurovascular unit in health and neurodegeneration: a sco** review of interdependencies between MRI measures
The neurovascular unit (NVU) is a complex structure that facilitates nutrient delivery and metabolic waste clearance, forms the blood–brain barrier...
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Clinical and Brain Morphometry Predictors of Deep Brain Stimulation Outcome in Parkinson’s Disease
Subthalamic deep brain stimulation (STN-DBS) is known to improve motor function in advanced Parkinson’s disease (PD) and to enable a reduction of...
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Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
PurposeAlzheimer’s disease (AD) is a progressive, incurable human brain illness that impairs reasoning and retention as well as recall. Detecting AD...
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Identification of abnormal closed-loop pathways in patients with MRI-negative pharmacoresistant epilepsy
Epilepsy is a disorder of brain networks, that is usually combined with cognitive and emotional impairment. However, most of the current research on...
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Altered brain function and structure in carpal tunnel syndrome: a systematic review and meta-analysis of structural and functional brain imaging
This systematic review with a meta-analysis aimed to identify the altered brain structure and function in carpal tunnel syndrome (CTS) by summarizing...
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Microstructure predicts non-motor outcomes following deep brain stimulation in Parkinson’s disease
Deep brain stimulation of the subthalamic nucleus (STN-DBS) effectively treats motor and non-motor symptoms in advanced Parkinson’s disease (PD). As...
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Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease
Background“Brain-predicted age” estimates biological age from complex, nonlinear features in neuroimaging scans. The brain age gap (BAG) between...
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The Fractal Geometry of the Brain
The new edition of the highly popular, The Fractal Geometry of the Brain, reviews the most intriguing applications of fractal analysis in... -
The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students
We report on MRi-Share, a multi-modal brain MRI database acquired in a unique sample of 1870 young healthy adults, aged 18–35 years, while undergoing...
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Multi-modal MRI of hippocampal morphometry and connectivity after pediatric severe TBI
This investigation explores memory performance using the California Verbal Learning Test in relation to morphometric and connectivity measures of the...
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MRI-Based and Histologically Verified 3D Modeling of Spatial Distribution of Intra-Arterially Transplanted Cells in Rat Brain
Visualization of transplanted stem cells in the brain is an important issue in the study of the mechanisms of their therapeutic action. MRI allowing...
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Neuroimaging in Machine Learning for Brain Disorders
Medical imaging plays an important role in the detection, diagnosis, and treatment monitoring of brain disorders. Neuroimaging includes different...