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Corrigendum to: Characterizing long-term neurocognitive outcomes through diffusion tensor imaging in childhood brain tumor survivors. [PDF]
Neuro Oncoleuropepmc +1 more source
Diffusion Tensor Imaging (DTI)
Methods in Molecular Biology, 2018 Explanation of using diffusion tensor imaging (DTI) in ...
Silvia Lope-Piedrafita
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Annals of Plastic Surgery
Peripheral nerve injuries (PNIs) represent a complex clinical challenge, necessitating precise diagnostic approaches for optimal management. Traditional diagnostic methods often fall short in accurately assessing nerve recovery as these methods rely on ...
Sara C. Chaker +4 more
semanticscholar +2 more sources
Peripheral nerve injuries (PNIs) represent a complex clinical challenge, necessitating precise diagnostic approaches for optimal management. Traditional diagnostic methods often fall short in accurately assessing nerve recovery as these methods rely on ...
Sara C. Chaker +4 more
semanticscholar +2 more sources
Ageing Research Reviews, 2023
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals. Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further development to dementia (d-AD) are considered to be major stages of the progressive ...
Yu Chen +5 more
semanticscholar +1 more source
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals. Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further development to dementia (d-AD) are considered to be major stages of the progressive ...
Yu Chen +5 more
semanticscholar +1 more source
Neurology, 2010
Diffusion tensor MRI (DT-MRI) is the only non-invasive method for characterising the microstructural organization of tissue in vivo. Generating parametric maps that help to visualise different aspects of the tissue microstructure (mean diffusivity, tissue anisotropy and dominant fibre orientation) involves a number of steps from deciding on the optimal
Jones, Derek K., Leemans, Alexander
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Diffusion tensor MRI (DT-MRI) is the only non-invasive method for characterising the microstructural organization of tissue in vivo. Generating parametric maps that help to visualise different aspects of the tissue microstructure (mean diffusivity, tissue anisotropy and dominant fibre orientation) involves a number of steps from deciding on the optimal
Jones, Derek K., Leemans, Alexander
openaire +4 more sources
Diffusion Tensor Imaging in Schizophrenia
Biological Psychiatry, 2006Alignment of white matter axons as inferred from diffusion tensor imaging has indicated changes in schizophrenia in frontal and frontotemporal white matter.Diffusion tensor anisotropy and anatomical magnetic resonance images were acquired in 64 patients with schizophrenia and 55 normal volunteers.
Joseph I Friedman +2 more
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Neuroimaging Clinics of North America, 2009
Diffusion tensor (DT) MR imaging is able to detect and quantify multiple sclerosis (MS)-related tissue damage within and outside T2-visible lesions. DT MR imaging has also been shown to be sensitive to the evolution of MS damage over time and to provide in vivo correlates of MS clinical severity and paraclinical markers of long-term disease evolution ...
Rovaris M, Agosta F, Pagani E, Filippi M
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Diffusion tensor (DT) MR imaging is able to detect and quantify multiple sclerosis (MS)-related tissue damage within and outside T2-visible lesions. DT MR imaging has also been shown to be sensitive to the evolution of MS damage over time and to provide in vivo correlates of MS clinical severity and paraclinical markers of long-term disease evolution ...
Rovaris M, Agosta F, Pagani E, Filippi M
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Postictal diffusion tensor imaging
Epilepsy Research, 2005The objective of the study was to investigate postictal diffusion tensor imaging (DTI) in focal epilepsy. DTI and statistical parametric mapping (SPM) were used to examine objectively the diffusion properties of the brains of 18 patients with intractable focal epilepsy both postictally and interictally and to compare them with 27 normal controls ...
Beate, Diehl +6 more
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