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Differences in grey and white matter atrophy in amnestic mild cognitive impairment and mild Alzheimer's disease
(Wiley-blackwell Publishing, IncMaldenEUA, 2009)
Relationship Between Regional Brain Volumes and Cognitive Performance in the Healthy Aging: An MRI Study Using Voxel-Based Morphometry
(IOS PRESSAMSTERDAM, 2013-08-02)
The presence of cognitive impairment is a frequent complaint among elderly individuals in the general population. This study aimed to investigate the relationship between aging-related regional gray matter (rGM) volume ...
Structural brain changes associated with antipsychotic treatment in schizophrenia as revealed by voxel-based morphometric MRI: an activation likelihood estimation meta-analysis
(BioMed Central, 2013)
Background
The results of multiple studies on the association between antipsychotic use and structural brain changes in schizophrenia have been assessed only in qualitative literature reviews to ...
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
(2020)
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively ...
Voxel-based morphometry of brain SPECT can detect the presence of active central nervous system involvement in systemic lupus erythematosus
(Oxford Univ PressOxfordInglaterra, 2007)
VBM sensitivity to localization and extent of mouse brain lesions: A simulation approach
(Elsevier Ireland, 2020-11)
Background and objectives: Voxel-based morphometry (VBM) is a popular neuroimaging technique, used to detect and quantify morphological differences in brain tissues between groups. Widely used in human studies, VBM approaches ...
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
(Academic Press Inc Elsevier Science, 2020-03)
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively ...
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
(Elsevier, 2020)
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively ...
Widespread neuronal damage and cognitive dysfunction in spinocerebellar ataxia type 3
(Springer HeidelbergHeidelbergAlemanha, 2013)
Structural brain changes associated with antipsychotic treatment in schizophrenia as revealed by voxel-based morphometric MRI: an activation likelihood estimation meta-analysis
(2013-12-20)
Abstract
Background
The results of multiple studies on the association between antipsychotic use and structural brain changes in schizophrenia have been ...