| scholarly article | Q13442814 |
| P50 | author | Michele Veldsman | Q46404596 |
| P2860 | cites work | White matter lesion progression, brain atrophy, and cognitive decline: the Austrian stroke prevention study | Q51988607 |
| Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI. | Q52606923 | ||
| Assessment of MRI issues at 7 T for 28 implants and other objects. | Q53635140 | ||
| Thinning of the cerebral cortex in aging. | Q55038326 | ||
| Structural covariance networks across the life span, from 6 to 94 years of age. | Q55316714 | ||
| Age Differentiation within Gray Matter, White Matter, and between Memory and White Matter in an Adult Life Span Cohort. | Q55491667 | ||
| Changing topological patterns in normal aging using large-scale structural networks | Q57724969 | ||
| Impact of image acquisition on voxel-based-morphometry investigations of age-related structural brain changes | Q46397075 | ||
| Measuring brain volume by MR imaging: impact of measurement precision and natural variation on sample size requirements. | Q47283644 | ||
| Default mode network neurodegeneration reveals the remote effects of ischaemic stroke | Q47660224 | ||
| Manual validation of FreeSurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and Alzheimer Disease subjects | Q48309269 | ||
| Incident subcortical infarcts induce focal thinning in connected cortical regions | Q48341611 | ||
| Structural covariance in the human cortex. | Q48784223 | ||
| Local brain atrophy accounts for functional activity differences in normal aging | Q51011247 | ||
| Independent cognitive effects of atrophy and diffuse subcortical and thalamico-cortical cerebrovascular disease in dementia | Q51893762 | ||
| Gray matter atrophy in patients with ischemic stroke with cognitive impairment | Q51967282 | ||
| Imaging structural co-variance between human brain regions | Q27022385 | ||
| Cortical Surface-Based Analysis | Q28124697 | ||
| Voxel-based morphometry–the methods | Q28138780 | ||
| Diaschisis: past, present, future | Q28240874 | ||
| Neurodegenerative diseases target large-scale human brain networks | Q29614723 | ||
| Measuring the thickness of the human cerebral cortex from magnetic resonance images | Q29615080 | ||
| Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging | Q30444055 | ||
| Networks of anatomical covariance | Q30634191 | ||
| Connectivity-based approaches in stroke and recovery of function | Q30741130 | ||
| Methods and considerations for longitudinal structural brain imaging analysis across development. | Q30827798 | ||
| Understanding structural-functional relationships in the human brain: a large-scale network perspective. | Q30833227 | ||
| Differential aging of the brain: patterns, cognitive correlates and modifiers | Q31055402 | ||
| Studying neuroanatomy using MRI. | Q31165123 | ||
| Human brain networks in health and disease | Q33459786 | ||
| Structural MRI markers of brain aging early after ischemic stroke | Q33885271 | ||
| Longitudinal changes in cortical thickness associated with normal aging | Q34020970 | ||
| Why use a connectivity-based approach to study stroke and recovery of function? | Q34194670 | ||
| Network-level structural covariance in the developing brain. | Q34241556 | ||
| Prospective motion correction in brain imaging: a review. | Q34262838 | ||
| The cognitive neuroscience of ageing | Q34309503 | ||
| Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume? | Q34520736 | ||
| Beyond BOLD: optimizing functional imaging in stroke populations | Q35483825 | ||
| Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. | Q35873737 | ||
| Predicting regional neurodegeneration from the healthy brain functional connectome | Q35991719 | ||
| Within-subject template estimation for unbiased longitudinal image analysis | Q36075413 | ||
| Age-related changes in brain structural covariance networks | Q36715303 | ||
| Structural covariance of the default network in healthy and pathological aging | Q37179776 | ||
| A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes | Q37272497 | ||
| Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis | Q37603615 | ||
| The impact of aging on gray matter structural covariance networks | Q38468276 | ||
| The Human Thalamus Is an Integrative Hub for Functional Brain Networks. | Q38815908 | ||
| The human hippocampus at 7 T--in vivo MRI. | Q40055242 | ||
| MRI white matter hyperintensities: three-year follow-up of the Austrian Stroke Prevention Study | Q40805505 | ||
| Age-related functional reorganization, structural changes, and preserved cognition. | Q42613722 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 4 | |
| P921 | main subject | neurodegeneration | Q1755122 |
| P577 | publication date | 2017-11-10 | |
| P1433 | published in | Geriatrics | Q50816699 |
| P1476 | title | Brain Atrophy Estimated from Structural Magnetic Resonance Imaging as a Marker of Large-Scale Network-Based Neurodegeneration in Aging and Stroke | |
| P478 | volume | 2 |
| Q61811938 | Structural covariance in subcortical stroke patients measured by automated MRI-based volumetry | cites work | P2860 |
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