Results 271 to 280 of about 5,320,256 (311)

Structural MRI of brain similarity networks

Nature Reviews Neuroscience
Recent advances in structural MRI analytics now allow the network organization of individual brains to be comprehensively mapped through the use of the biologically principled metric of anatomical similarity. In this Review, we offer an overview of the measurement and meaning of structural MRI similarity, especially in relation to two key assumptions ...
Isaac Sebenius, Lena Dorfschmidt, Jakob Seidlitz, Aaron Alexander-Bloch, Sarah E. Morgan, Edward Bullmore   +5 more
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Mood disorders – review of structural MRI studies

Acta Neuropsychiatrica, 2003
Background: Mood disorders are related to considerable morbidity and mortality, and although there is little doubt that they are brain-based disorders, their neural correlates still remain elusive.
Malhi, GS, Monkul, ES, Soares, JC
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Structural MRI Changes of the Brain in Depression

Clinical EEG and Neuroscience, 2004
For many years, investigators have been trying to identify the neuroanatomical structures responsible for the development of neuropsychiatry disorders, specifically depression and schizophreniform disorders. The available data were based on observations made in neurological patients who developed a psychiatric comorbid disorder following the neurologic
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No-Reference Image Quality Metrics for Structural MRI

Neuroinformatics, 2006
Neuroimagery must be visually checked for unacceptable levels of distortion prior to processing. However, inspection is time-consuming, unreliable for detecting subtle distortions and often subjective. With the increasing volume of neuroimagery, objective measures of quality are needed in order to automate screening.
Jeffrey P. Woodard, Monica P. Carley-Spencer   +1 more
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The Amygdala in Schizophrenia and Bipolar Disorder: A Synthesis of Structural MRI, Diffusion Tensor Imaging, and Resting-State Functional Connectivity Findings

Harvard Review of Psychiatry, 2019
Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important hub for elucidating the convergent and divergent neural substrates in schizophrenia and bipolar disorder, the two most studied groups of psychotic spectrum ...
N. Ho, P. L. H. Chong, D. Lee, Q. H. Chew, Guoyang Chen, K. Sim   +5 more
semanticscholar   +1 more source

Structural MRI in Alzheimer’s Disease

2020
Abstract Structural magnetic resonance imaging (MRI) is a powerful tool to visualize and quantitate morphological and pathological features of the aging brain. Most work that has used structural MRI to study Alzheimer’s disease (AD) focused on the spatial distribution of atrophic changes associated with disease.
Briana S. Last, Batool Rizvi, Adam M. Brickman   +2 more
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Structural MRI in Idiopathic Parkinson's Disease

2018
Among modern neuroimaging modalities, magnetic resonance imaging (MRI) is a widely available, non-invasive, and cost-effective method to detect structural and functional abnormalities related to neurodegenerative disorders. In the last decades, MRI have been widely implemented to support PD diagnosis as well as to provide further insights into motor ...
De Micco R., Russo A., Tessitore A.
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Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRI.

Schizophrenia Research, 2019
Although regional brain deficits have been demonstrated in schizophrenia patients by structural MRI studies, one important question that remains largely unanswered is whether the complex and subtle deficits revealed by MRI could be used as objective ...
Yuan Xiao, Zhihan Yan, Youjin Zhao, B. Tao, Huaiqiang Sun, Fei Li, Li Yao, Wenjing Zhang, Shah Chandan, Jieke Liu, Q. Gong, J. Sweeney, S. Lui   +12 more
semanticscholar   +1 more source

Structural MRI: Morphometry

2016
Human brains are characterised by considerable intersubject anatomical variability, which is of interest in both clinical practice and research. Computational morphometry of magnetic resonance images has emerged as the method of choice for studying macroscopic changes in brain structure.
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Predicting diagnosis and cognition with 18F‐AV‐1451 tau PET and structural MRI in Alzheimer's disease

Alzheimer's & Dementia, 2019
The relative importance of structural magnetic resonance imaging (MRI) and tau positron emission tomography (PET) to predict diagnosis and cognition in Alzheimer's disease (AD) is unclear.
N. Mattsson, P. Insel, M. Donohue, Jonas Jögi, R. Ossenkoppele, Tomas G. Olsson, M. Schöll, Ruben Smith, O. Hansson   +8 more
semanticscholar   +1 more source