A database of age-appropriate average MRI templates

Richards, John E.; Sanchez, Carmen E.; Phillips-Meek, Michelle C.; Xie, Wanze

doi:10.1016/j.neuroimage.2015.04.055

Cited by 224 publications

(240 citation statements)

References 42 publications

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“…It is possible that such long-term perceptual deficits might affect the 'baseline' activation of the ageing posterior cortex. Such perceptual deficits might also have effects on higher-order centres in the anterior cortex.The anterior cortex is a commonly targeted site for studying age-related cognitive decline because it undergoes rapid loss in grey and white matter (Richards et al, 2016;Salat et al, 2004). Consistent with PASA, we found increased activation in the anterior cortex in IFG, particularly at low loads.…”

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confidence: 85%

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Modulating perceptual complexity and load reveals degradation of the visual working memory network in ageing

2017

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Previous neuroimaging studies have reported a posterior to anterior shift of activation in ageing (PASA). Here, we explore the nature of this shift by modulating load (1,2 or 3 items) and perceptual complexity in two variants of a visual working memory task (VWM): a 'simple' color and a 'complex' shape change detection task. Functional near-infrared spectroscopy (fNIRS) was used to record changes in activation in younger (N=24) and older adults (N=24). Older adults exhibited PASA by showing lesser activation in the posterior cortex and greater activation in the anterior cortex when compared to younger adults. Further, they showed reduced accuracy at loads 2 and 3 for the simple task and across all loads for the complex task. Activation in the posterior and anterior cortices was modulated differently for younger and older adults. In older adults, increasing load in the simple task was accompanied by decreasing activation in the posterior cortex and lack of modulation in the anterior cortex, suggesting the inability to encode and/or maintain representations without much aid from higher-order centers. In the complex task, older adults recruited verbal working memory areas in the posterior cortex, suggesting that they used adaptive strategies such as labelling the shape stimuli. This was accompanied by reduced activation in the anterior cortex reflecting the inability to exert top-down modulation to typical VWM areas in the posterior cortex to improve behavioral performance. IntroductionVisual working memory (VWM) is a short term storage system for visual information that is critical for at least two central aspects of cognition -for the comparison of percepts that cannot be simultaneously foveated and for identifying changes in the world when they occur (Luck and Vogel, 1997). As a result, VWM is central to adaptive functions such as navigation, driving, reading, and so on. Healthy VWM processing is critical throughout the human life span, and deficits in VWM processing have serious consequences for performance during early development and late adulthood.In healthy ageing, there are marked changes in this cognitive system. Decline in VWM is reported to start as early as in the fourth decade of life with a drop of 0.20 2 items per decade in both verbal and spatial working memory (Salthouse 1994). Although these data suggest a dramatic decline in working memory function, other factors might also play a role: factors such as deconditioning of physiological processes following inactivity, arthritis, and declining motor abilities can affect behavioral measures such as accuracy and reaction times. One way to move beyond motoric deficits is to investigate brain function alongside behavior in younger and older adults.Studies of WM using functional magnetic resonance imaging (fMRI) implicate a distributed cortical network that spans the frontal, parietal, and temporo-occipital cortices (Druzgal and D'Esposito, 2003;Learmonth et al., 2002;Linden et al., 2003;Ma et al., 2014;Pessoa and Ungerleider, 2004;Postle, 2015;R...

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confidence: 85%

“…We used atlases from the Neurodevelopmental MRI Database (Fillmore et al, 2015;Richards and Xie, 2015;Richards et al, 2016) for all participants. The age of each participant was used to choose the appropriate atlas from the database.…”

Section: Forward Modelmentioning

confidence: 99%

Modulating perceptual complexity and load reveals degradation of the visual working memory network in ageing

2017

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“…Our goals were to construct the automatic atlases and validate them against manually delineated individual participant atlases. Thus, our first objective was to create a manually labeled, age-specific stereotaxic atlas for average MRI templates for infants at 3, 4.5, 6, 7.5, 9, and 12 months of age on average MRI templates ([1]; [5];[9];[10]). We performed manual delineation of 14 areas (lobar and sub-lobar) on each infant-based age-specific template.…”

mentioning

confidence: 99%

“…The template-based atlases constructed in the current study are available online (http://jerlab.psych.sc.edu/NeurodevelopmentalMRIDatabase/, [10]).…”

mentioning

confidence: 99%

Stereotaxic Magnetic Resonance Imaging Brain Atlases for Infants from 3 to 12 Months

Fillmore

Richards²,

Phillips-Meek³

et al. 2015

Dev Neurosci

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Background: Accurate labeling of brain structures within an individual or group is a key issue in neuroimaging. Methods for labeling infant brains have depended on the labels done on adult brains or average magnetic resonance imaging (MRI) templates based on adult brains. However, the features of adult brains differ in several ways from infant brains, so the creation of a labeled stereotaxic atlas based on infants would be helpful. The current work builds on the recent creation of age-appropriate average MRI templates during the first year (3, 4.5, 6, 7.5, 9, and 12 months) by creating anatomical label sets for each template. Methods: We created stereotaxic atlases for the age-specific average MRI templates. Manual delineation of cortical and subcortical areas was done on the average templates based on infants during the first year. We also applied a procedure for automatic computation of macroanatomical atlases for individual infant participants using two manually segmented adult atlases (Hammers, LONI Probabilistic Brain Atlas-LPBA40). To evaluate our methods, we did manual delineation of several cortical areas on selected individuals from each age. Linear and nonlinear registration of the individual and average template was used to transform the average atlas into the individual participant's space, and the average-transformed atlas was compared to the individual manually delineated brain areas. We also applied these methods to an external data set - not used in the atlas creation - to test generalizability of the atlases. Results: Age-appropriate manual atlases were the best fit to the individual manually delineated regions, with more error seen at greater age discrepancy. There was a close fit between the manually delineated and the automatically labeled regions for individual participants and for the age-appropriate template-based atlas transformed into participant space. There was close correspondence between automatic labeling of individual brain regions and those from the age-appropriate template. These relationships held even when tested on an external set of images. Conclusion: We have created age-appropriate labeled templates for use in the study of infant development at 6 ages (3, 4.5, 6, 7.5, 9, and 12 months). Comparison with manual methods was quite good. We developed three stereotaxic atlases (one manual, two automatic) for each infant age, which should allow more fine-grained analysis of brain structure for these populations than was previously possible with existing tools. The template-based atlases constructed in the current study are available online (http://jerlab.psych.sc.edu/NeurodevelopmentalMRIDatabase).

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“…Therefore, a correlation of imaging findings with symptoms is essential for correct interpretation [43]. The diagnostic reliability for the differentiation of physiological age-related changes from hydrocephalus can be increased by using age-specific reference images [44].…”

Section: Age-related Changesmentioning

confidence: 99%

Diagnosis and Differential Diagnosis of Hydrocephalus in Adults

Langner

Fleck

Baldauf

et al. 2017

Fortschr Röntgenstr

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ABSTR AC TPurpose Hydrocephalus is caused by an imbalance of production and absorption of cerebrospinal fluid (CSF) or obstruction of its pathways, resulting in ventricular dilatation and increased intracranial pressure. Imaging plays a crucial role in the diagnosis, differential diagnosis and planning of treatment.Methods This review article presents the different types of hydrocephalus und their typical imaging appearance, describes imaging techniques, and discusses differential diagnoses of the different forms of hydrocephalus. Results and Conclusion

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A database of age-appropriate average MRI templates

Cited by 224 publications

References 42 publications

Modulating perceptual complexity and load reveals degradation of the visual working memory network in ageing

Modulating perceptual complexity and load reveals degradation of the visual working memory network in ageing

Stereotaxic Magnetic Resonance Imaging Brain Atlases for Infants from 3 to 12 Months

Diagnosis and Differential Diagnosis of Hydrocephalus in Adults

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