Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: Validation of the Lancaster transform

Laird, Angela R.; Robinson, Jennifer L.; McMillan, Kathryn M.; Tordesillas‐Gutiérrez, Diana; Moran, Sarah T.; Gonzales, Sabina M.; Ray, Kimberly L.; Franklin, Crystal; Glahn, David C.; Fox, Peter T.; Lancaster, Jack L.

doi:10.1016/j.neuroimage.2010.02.048

Cited by 295 publications

(213 citation statements)

References 26 publications

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“…We included 6,884 task-related contrasts from 1,641 nonpharmacological neuroimaging studies including more than five healthy adult subjects, irrespective of the tasks. Each activation from each contrast was modeled as a 1-cm 3 sphere centered around its reported coordinates (15) in a standard stereotactic space (42,43). We subdivided or parcellated the gray matter of the brain (excluding the cerebellum) into 638 similarly sized regions that respected anatomical landmarks (44,45).…”

Section: Methodsmentioning

confidence: 99%

Cognitive relevance of the community structure of the human brain functional coactivation network

Crossley

Mechelli

Vértes

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

423

330

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There is growing interest in the complex topology of human brain functional networks, often measured using resting-state functional MRI (fMRI). Here, we used a meta-analysis of the large primary literature that used fMRI or PET to measure task-related activation (>1,600 studies; 1985–2010). We estimated the similarity (Jaccard index) of the activation patterns across experimental tasks between each pair of 638 brain regions. This continuous coactivation matrix was used to build a weighted graph to characterize network topology. The coactivation network was modular, with occipital, central, and default-mode modules predominantly coactivated by specific cognitive domains (perception, action, and emotion, respectively). It also included a rich club of hub nodes, located in parietal and prefrontal cortex and often connected over long distances, which were coactivated by a diverse range of experimental tasks. Investigating the topological role of edges between a deactivated and an activated node, we found that such competitive interactions were most frequent between nodes in different modules or between an activated rich-club node and a deactivated peripheral node. Many aspects of the coactivation network were convergent with a connectivity network derived from resting state fMRI data ( n = 27, healthy volunteers); although the connectivity network was more parsimoniously connected and differed in the anatomical locations of some hubs. We conclude that the community structure of human brain networks is relevant to cognitive function. Deactivations may play a role in flexible reconfiguration of the network according to cognitive demand, varying the integration between modules, and between the periphery and a central rich club.

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Section: Methodsmentioning

confidence: 99%

Cognitive relevance of the community structure of the human brain functional coactivation network

Crossley

Mechelli

Vértes

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

423

330

View full text Add to dashboard Cite

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“…However, the MRI volumes acquired still retained key anatomical landmarks necessary for reliable automated linear registration onto the standard MNI coordinates system (Collins et al, 1994) enabling a probabilistic distribution of hypothalamic subregions. Interestingly, MNI coordinates can easily be transposed to Talairach space (Talairach and Tournoux, 1988) by using the appropriate transformations (Laird et al, 2010). …”

Section: Discussionmentioning

confidence: 99%

MRI atlas of the human hypothalamus

et al. 2012

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Gaining new insights into the anatomy of the human hypothalamus is crucial for the development of new treatment strategies involving functional stereotactic neurosurgery. Here, using anatomical comparisons between histology and magnetic resonance images of the human hypothalamus in the coronal plane, we show that discrete gray and white hypothalamic structures are consistently identifiable by MRI. Macroscopic and microscopic images were used to precisely annotate the MRI sequences realized in the coronal plane in twenty healthy volunteers. MRI was performed on a 1.5T scanner, using a protocol including T1-weighted 3D fast field echo, T1-weighted inversionrecovery, turbo spin echo and T2-weighted 2D fast field echo imaging. For each gray matter structure as well as for white matter bundles, the different MRI sequences were analyzed in comparison to each other. The anterior commissure and the fornix were often identifiable, while the mammillothalamic tract was more difficult to spot. Qualitative analyses showed that MRI could also highlight finer structures such as the paraventricular nucleus, the ventromedial nucleus of the hypothalamus and the infundibular (arcuate) nucleus, brain nuclei that play key roles in the regulation of food intake and energy homeostasis. The posterior hypothalamic area, a target for deep brain stimulation in the treatment of cluster headaches, was readily identified, as was the lateral hypothalamic area, which similar to the aforementioned hypothalamic nuclei, could be a putative target for deep brain stimulation in the treatment of obesity. Finally, each of the identified structures was mapped to Montreal Neurological Institute (MNI) space. Please find enclosed the revised version of our manuscript "MRI atlas of the human hypothalamus" which we have modified according to the minor comment made by the reviewer#3.We appreciated the careful and incisive evaluation of our data made by the reviewers throughout the reviewing process. We hope that the manuscript is now in suitable form for publication in Neuroimage.  New insights into the anatomy of the human hypothalamus  Specific 1.5T MRI sequences approach histological resolution within the hypothalamus  White matter bundles within the hypothalamus can be identified using 1.5T MRI  Hypothalamic gray structures can be identified using 1.5T MRI *4. HighlightsWe have revised our manuscript to address the minor point raised by reviewer 3.In the "Data analysis" paragraph of the materials and methods section it now reads: "Structures were identified visually based on our knowledge of specific landmarks obtained from anatomical-histological cross sections and with reference to previously published atlases (Swaab et al., 1993;Koutcherov et al., 2000Koutcherov et al., , 2004Koutcherov et al., 2007;Mai et al., 2008); the landmarks used, such as the optic tract, the floor of the diencephalon, the third ventricle, and the fornix, were readily and reliably identifiable in MR scans." AbstractGaining new insights into the anatomy of the hu...

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“…The reported coordinates from existing journal articles were transformed from Montreal Neurological Institute to Talairach space 24 using the GingerALE software when necessary. 25,26 Ginger-ALE version 2.1.3 supports random effect metaanalyses, and it gives more weight to the spatial conjunction of different foci from different studies than to different foci from a single study. 21 The data were thresholded using a false discovery rate correction of q=0.05 and a minimum volume of 40mm 3 in increased clusters.…”

Section: Meta-analysismentioning

confidence: 99%

Fractional anisotropy alterations in individuals born preterm: a diffusion tensor imaging meta‐analysis

Sun

Han

et al. 2014

Develop Med Child Neuro

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ALEActivation likelihood estimate DTI Diffusion tensor imaging SMD Standardized mean difference AIM This meta-analysis explored cerebral microstructural changes in individuals born preterm using fractional anisotropy from diffusion tensor imaging.METHOD We used the activation likelihood estimate (ALE) method for the meta-analysis to locate anatomical regions with white matter abnormalities in a group of individuals born preterm and in term-born comparison participants. A statistical analysis of fractional anisotropy was conducted to quantitatively explore the extent of fractional anisotropy changes in the three subregions of the corpus callosum in the preterm group.RESULTS ALE analysis identified 11 regions of decreased fractional anisotropy and four regions of increased fractional anisotropy. Analysis of the corpus callosum revealed the largest decrease in fractional anisotropy in the splenium (standardized mean difference [SMD]=À0.75, 95% confidence interval [CI] À0.93 to À0.57), followed by the body (SMD=À0.73, 95% CI À1.13 to À0.32) and the genu (SMD=À0.65, 95% CI À0.97 to À0.33). INTERPRETATION Significant changes in fractional anisotropy in individuals born pretermreflect white matter abnormalities from childhood to young adulthood, and the mechanism of fractional anisotropy alterations in preterm infants may vary during different stages of white matter development. Furthermore, the variability of fractional anisotropy between studies can primarily be attributed to the age of the individuals at scanning and to the field strength of magnetic resonance scanners.Preterm birth is frequently accompanied by a variety of disabilities, such as cerebral palsy, intellectual disability, deafness, or blindness. The incidence of preterm birth has increased significantly in the past decades, but is associated with higher survival rates 1 and a lower incidence of major disabilities than in the past.2 However, there is strong evidence that preterm survivors without brain malformations, congenital infection, or metabolic disease and with normal outcomes or mild abnormalities on structural brain magnetic resonance imaging (MRI) may experience more problems of motor, cognitive, language, and behavioural functioning throughout childhood and young adulthood. [3][4][5][6] These sequelae have been attributed to perinatal brain injuries, 7,8 which frequently involve white matter, 9 during normal brain maturation. 10 Nevertheless, the location, severity, and mechanism of white matter injuries on neurodevelopment and their impact on future function have not been conclusively determined.11 Additional neuroimaging evidence is necessary to explain the mechanism of white matter injuries and to predict the future influence of these impairments in individuals who are born preterm.Diffusion tensor imaging (DTI), a novel MRI technique, can quantify the fibre orientation and integrity of white matter pathways within neural networks. This technique is superior to conventional MRI methods for the detection of white matter abnormalities becaus...

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Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: Validation of the Lancaster transform

Cited by 295 publications

References 26 publications

Cognitive relevance of the community structure of the human brain functional coactivation network

Cognitive relevance of the community structure of the human brain functional coactivation network

MRI atlas of the human hypothalamus

Fractional anisotropy alterations in individuals born preterm: a diffusion tensor imaging meta‐analysis

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