Редактирование: FBL

rRNA 2'-O-methyltransferase fibrillarin (EC 2.1.1.-) (34 kDa nucleolar scleroderma antigen) (Histone-glutamine methyltransferase) (U6 snRNA 2'-O-methyltransferase fibrillarin) [FIB1] [FLRN]

==Publications==

{{medline-entry
|title=APPLICATION OF A NOVEL QUANTITATIVE TRACTOGRAPHY-BASED ANALYSIS OF DIFFUSION TENSOR IMAGING TO EXAMINE FIBER BUNDLE LENGTH IN HUMAN CEREBRAL WHITE MATTER.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/27721932
|abstract=This paper reviews basic methods and recent applications of length-based fiber bundle analysis of cerebral white matter using diffusion magnetic resonance imaging (dMRI). Diffusion weighted imaging (DWI) is a dMRI technique that uses the random motion of water to probe tissue microstructure in the brain. Diffusion tensor imaging (DTI) is an extension of DWI that measures the magnitude and direction of water diffusion in cerebral white matter, using either voxel-based scalar metrics or tractography-based analyses. More recently, quantitative tractography based on diffusion tensor imaging (qtDTI) technology has been developed to help quantify aggregate structural anatomical properties of white matter fiber bundles, including both scalar metrics of bundle diffusion and more complex morphometric properties, such as fiber bundle length ([[FBL]]). Unlike traditional scalar diffusion metrics, [[FBL]] reflects the direction and curvature of white matter pathways coursing through the brain and is sensitive to changes within the entire tractography model. In this paper, we discuss applications of this approach to date that have provided new insights into brain organization and function. We also discuss opportunities for improving the methodology through more complex anatomical models and potential areas of new application for qtDTI.

|keywords=* Aging
* Diffusion tensor imaging
* Quantitative tractography
* White matter
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055128
}}
{{medline-entry
|title=Cognitive reserve moderates the relationship between neuropsychological performance and white matter fiber bundle length in healthy older adults.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/26961092
|abstract=Recent work using novel neuroimaging methods has revealed shorter white matter fiber bundle length ([[FBL]]) in older compared to younger adults. Shorter [[FBL]] also corresponds to poorer performance on cognitive measures sensitive to advanced age. However, it is unclear if individual factors such as cognitive reserve (CR) effectively moderate the relationship between [[FBL]] and cognitive performance. This study examined CR as a potential moderator of cognitive performance and brain integrity as defined by [[FBL]]. Sixty-three healthy adults underwent neuropsychological evaluation and 3T brain magnetic resonance imaging. Cognitive performance was measured using the Repeatable Battery of Assessment of Neuropsychological Status (RBANS). [[FBL]] was quantified from tractography tracings of white matter fiber bundles, derived from the diffusion tensor imaging. CR was determined by estimated premorbid IQ. Analyses revealed that lower scores on the RBANS were associated with shorter whole brain [[FBL]] (p = 0.04) and lower CR (p = 0.01) CR moderated the relationship between whole brain [[FBL]] and RBANS score (p < 0.01). Tract-specific analyses revealed that CR also moderated the association between [[FBL]] in the hippocampal segment of the cingulum and RBANS performance (p = 0.03). These results demonstrate that lower cognitive performance on the RBANS is more common with low CR and short [[FBL]]. On the contrary, when individuals have high CR, the relationship between [[FBL]] and cognitive performance is attenuated. Overall, CR protects older adults against lower cognitive performance despite age-associated reductions in [[FBL]].
|mesh-terms=* Brain
* Cognitive Reserve
* Diffusion Tensor Imaging
* Female
* Healthy Aging
* Humans
* Intelligence
* Magnetic Resonance Imaging
* Male
* Middle Aged
* Nerve Fibers, Myelinated
* Neuropsychological Tests
* Regression Analysis
* Sex Factors
* White Matter
|keywords=* Aging
* Cognition
* Diffusion tensor imaging
* Neuropsychological assessment
* RBANS
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083104
}}
{{medline-entry
|title=Fiber bundle length and cognition: a length-based tractography MRI study.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/25376332
|abstract=Executive function (EF) and cognitive processing speed (CPS) are two cognitive performance domains that decline with advanced age. Reduced EF and CPS are known to correlate with age-related frontal-lobe volume loss. However, it remains unclear whether white matter microstructure in these regions is associated with age-related decline in EF and/or CPS. We utilized quantitative tractography metrics derived from diffusion-tensor MRI to investigate the relationship between the mean fiber bundle lengths ([[FBL]]s) projecting to different lobes, and EF/CPS performance in 73 healthy aging adults. We measured aspects of EF and CPS with the Trail Making Test (TMT), Color-Word Interference Test, Letter-Number Sequencing (L-N Seq), and Symbol Coding. Results revealed that parietal and occipital [[FBL]]s explained a significant portion of variance in EF. Frontal, temporal, and occipital [[FBL]]s explained a significant portion of variance in CPS. Shorter occipital [[FBL]]s were associated with poorer performance on the EF tests TMT-B and CWIT 3. Shorter frontal, parietal, and occipital [[FBL]]s were associated with poorer performance on L-N Seq and Symbol Coding. Shorter frontal and temporal [[FBL]]s were associated with lower performance on CPS tests TMT-A and CWIT 1. Shorter [[FBL]]s were also associated with increased age. Results suggest an age-related [[FBL]] shortening in specific brain regions related to poorer EF and CPS performance among older adults. Overall, results support both the frontal aging hypothesis and processing speed theory, suggesting that each mechanism is contributing to age-related cognitive decline. 
|mesh-terms=* Aged
* Aged, 80 and over
* Aging
* Brain
* Cognition
* Diffusion Magnetic Resonance Imaging
* Diffusion Tensor Imaging
* Executive Function
* Female
* Humans
* Image Processing, Computer-Assisted
* Male
* Middle Aged
* Neural Pathways
* Neuropsychological Tests
|keywords=* Aging
* Cognitive processing speed
* DTI
* Executive function
* Fiber bundle lengths
* White matter
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424188
}}
{{medline-entry
|title=White matter changes with age utilizing quantitative diffusion MRI.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/24928121
|abstract=To investigate the relationship between older age and mean cerebral white matter fiber bundle lengths ([[FBL]]s) in specific white matter tracts in the brain using quantified diffusion MRI. Sixty-three healthy adults older than 50 years underwent diffusion tensor imaging. Tractography tracings of cerebral white matter fiber bundles were derived from the diffusion tensor imaging data. Results revealed significantly shorter [[FBL]]s in the anterior thalamic radiation for every 1-year increase over the age of 50 years. We investigated the effects of age on [[FBL]] in specific white matter tracts in the brains of healthy older individuals utilizing quantified diffusion MRI. The results revealed a significant inverse relationship between age and [[FBL]]. Longitudinal studies of [[FBL]] across a lifespan are needed to examine the specific changes to the integrity of white matter.
|mesh-terms=* Aged
* Aging
* Brain
* Cerebral Cortex
* Diffusion Tensor Imaging
* Female
* Humans
* Male
* Middle Aged
* Nerve Fibers, Myelinated
* Neural Pathways
* Thalamus
* Time Factors

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117364
}}
{{medline-entry
|title=Impact of body mass index on neuronal fiber bundle lengths among healthy older adults.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/23564371
|abstract=Increased body mass index (BMI) has been linked to various detrimental health outcomes, including cognitive dysfunction. Recent work investigating associations between obesity and the brain has revealed decreased white matter microstructural integrity in individuals with elevated BMI, independent of age or comorbid health conditions. However, the relationship between high BMI and white matter fiber bundle length ([[FBL]]), which represents a novel metric of microstructural brain integrity, remains unknown. The present study utilized quantitative tractography based on diffusion tensor imaging (DTI) to investigate the relationship between BMI and [[FBL]] in 72 otherwise healthy older adults (24 males, 48 females). All participants were between 51 and 85 years of age (M = 63.26, SD = 8.76). Results revealed that elevated BMI was associated with shorter [[FBL]] in the temporal lobe, independent of age (p < .01). In addition, increased age was associated with shorter frontal, temporal, and whole brain [[FBL]] (all p values < .01). These findings indicate that, while increased age is an important factor associated with reduced [[FBL]], high BMI is uniquely associated with reduced [[FBL]] in the temporal lobe. These data offer evidence for additive adverse effects of high BMI on the brain, especially in areas already vulnerable to aging processes and age-related neurodegenerative diseases. Further research is necessary to determine the physiological mechanisms associated with the shortening of [[FBL]] in individuals with high BMI.
|mesh-terms=* Aged
* Aged, 80 and over
* Aging
* Body Mass Index
* Brain
* Diffusion Tensor Imaging
* Female
* Humans
* Male
* Middle Aged
* Nerve Fibers, Myelinated
* Reference Values
* Statistics as Topic
* Temporal Lobe

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830712
}}