[go: up one dir, main page]

Lövdén et al., 2014 - Google Patents

Changes in perceptual speed and white matter microstructure in the corticospinal tract are associated in very old age

Lövdén et al., 2014

Document ID
3590977812136714878
Author
Lövdén M
Köhncke Y
Laukka E
Kalpouzos G
Salami A
Li T
Fratiglioni L
Bäckman L
Publication year
Publication venue
Neuroimage

External Links

Snippet

The integrity of the brain's white matter is important for neural processing and displays age- related differences, but the contribution of changes in white matter to cognitive aging is unclear. We used latent change modeling to investigate this issue in a sample of very old …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging

Similar Documents

Publication Publication Date Title
Lövdén et al. Changes in perceptual speed and white matter microstructure in the corticospinal tract are associated in very old age
Schouten et al. Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease
Schouten et al. Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Jelescu et al. One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?
Konieczny et al. Multi-shell diffusion MRI models for white matter characterization in cerebral small vessel disease
Bajic et al. Identifying rodent resting-state brain networks with independent component analysis
Fingher et al. Toddlers later diagnosed with autism exhibit multiple structural abnormalities in temporal corpus callosum fibers
Wang et al. Diffusion tensor imaging of vascular parkinsonism: structural changes in cerebral white matter and the association with clinical severity
Vaher et al. General factors of white matter microstructure from DTI and NODDI in the developing brain
Lo et al. Reduced tract integrity of the model for social communication is a neural substrate of social communication deficits in autism spectrum disorder
Brun et al. Mapping brain abnormalities in boys with autism
Buchanan et al. Reduced structural connectivity within a prefrontal‐motor‐subcortical network in amyotrophic lateral sclerosis
Roine et al. Increased Coherence of White Matter Fiber Tract Organization in Adults with A sperger Syndrome: A Diffusion Tensor Imaging Study
Nir et al. Small world network measures predict white matter degeneration in patients with early-stage mild cognitive impairment
Chandwani et al. Early micro‐and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
Alexander et al. Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE‐HD cohort
Feldman et al. Seven‐tesla susceptibility‐weighted analysis of hippocampal venous structures: Application to magnetic‐resonance–normal focal epilepsy
Chandwani et al. Brain microstructural antecedents of visual difficulties in infants born very preterm
Clemente et al. Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients
Szeszko et al. Investigation of superior longitudinal fasciculus fiber complexity in recent onset psychosis
Osmanlıoğlu et al. Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury
Goeckner et al. Associations of prior concussion severity with brain microstructure using mean apparent propagator magnetic resonance imaging
Lewis et al. Age-associated alterations in thalamocortical structural connectivity in youths with a psychosis-spectrum disorder
Fu et al. T2-imaging changes in the nigrosome-1 relate to clinical measures of Parkinson’s disease
Zhang et al. White matter biomarker for predicting de novo Parkinson’s disease using tract-based spatial statistics: a machine learning-based model