A voxel-based morphometry study of anosmic patients
نویسندگان
چکیده
منابع مشابه
Voxel-based morphometry in Alzheimer's patients.
We thank the editorial staff and Dr. Ghosh-Dastidar and colleagues for their commentary on our manuscript “Relationship of Cognitive Measures and Gray and White Matter In Alzheimer’s Disease” [1]. Dr. GhoshDastidar and colleagues have provided an overview of voxel-based morphometry methodology as well as the strengths and limitations of utilizing this technique in investigating MRI features don...
متن کاملVoxel-Based Morphometry
The human brain is in a state of constant change and adaptation. This may be driven either by normal developmental or aging processes or by the effects of learning, training, and new occurrences in daily life. In addition to these aforementioned changes, more systematic influences such as gender, disease, and genes affect the brain’s structure. Using magnetic resonance imaging, brain changes an...
متن کاملWord retrieval decline in midlife: a voxel-based morphometry study
There is currently little understanding on whether significant word retrieval difficulties appear during midlife and if so, whether they relate to decrease in grey matter (GM) density that accompanies aging. To answer this question, we studied retrieval of proper names in 125 cognitively healthy middle-aged persons (49.7, ±3.2) comparing their performance on a tip-of-the-tongue (TOT) task with ...
متن کاملA voxel based morphometry study on mild cognitive impairment.
BACKGROUND Mild cognitive impairment (MCI) is the most widely used concept in classifying cognitive impairment in the elderly who do not fulfil the criteria for dementia. MCI is considered to confer an increased risk of progressing to dementia and most often Alzheimer's disease (AD). Various approaches such as imaging of the brain have been applied to predict the conversion of MCI to dementia. ...
متن کاملVoxel-based morphometry 1113 elements
An underlying assumption of the above parametric approach is that the process is a = Gaussian field, i.e., its statistical characteristics, including its roughness parameter (or its reciprocal, the smoothness ) ), are the same at each point in the image. The FWHM of the process should be constant in all directions and across all voxels in the image. While these assumptions are reasonable for fu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The British Journal of Radiology
سال: 2013
ISSN: 0007-1285,1748-880X
DOI: 10.1259/bjr.20130207