Measuring structural–functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment

Frost, Michael R.; Goebel, Rainer

doi:10.1016/j.neuroimage.2011.08.035

Cited by 295 publications

(293 citation statements)

References 42 publications

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“…Intensive efforts have gone into improving brain atlases and the associated registration methods. For cerebral cortex, surface-based registration (SBR) and surface-based atlases have inherent advantages over conventional, volume-based registration because they respect the topology of the cortical sheet (Anticevic et al 2008;Fischl et al 1999;Frost and Goebel 2012;Tucholka et al 2012;Van Essen et al 2012c). Until recently, the available methods for SBR have used shape cues related to the folding pattern to constrain the registration from individuals to the atlas.…”

Section: Convolutions and Folding Variabilitymentioning

confidence: 99%

Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex

Essen

Donahue

Dierker

et al. 2016

Micro-, Meso- And Macro-Connectomics of the Brain

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To decipher brain function, it is vital to know how the brain is wired. This entails elucidation of brain circuits at multiple scales, including microscopic, mesoscopic, and macroscopic levels. Here, we review recent progress in mapping the macroscopic brain circuits and functional organization of the cerebral cortex in primates-humans and macaque monkeys, in particular. There are many similarities across species in terms of overall patterns of cortical gray matter myelination as well as functional areas that are presumed to be homologous. However, there are also many important species differences, including cortical convolutions that are much more complex and more variable in humans than in monkeys. Our ability to analyze structure and function has benefited from improved methods for intersubject registration that cope with this individual variability. To characterize long-distance connectivity, powerful but indirect methods are now available, including resting-state functional connectivity and diffusion imaging coupled with probabilistic tractography. We illustrate how connectivity inferred from diffusion imaging and tractography can be evaluated in relation to 'ground truth' based on anatomical tracers in the macaque. Interspecies registration between human and macaque cortex based on presumed interspecies homologies demonstrates an impressive degree of areal expansion in regions associated with higher cognitive function.

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Section: Convolutions and Folding Variabilitymentioning

confidence: 99%

Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex

Essen

Donahue

Dierker

et al. 2016

Micro-, Meso- And Macro-Connectomics of the Brain

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show abstract

“…In particular, the human brain is characterized by striking interindividual variability in structure and function (Frost and Goebel, 2012;Hasnain et al, 1998;Sugiura et al, 2007;Van Essen and Dierker, 2007;Xiong et al, 2000;. In the past two decades, dramatic interindividual variability has been observed in both sulcal/gyral patterns and anatomical features (e.g.…”

Section: Introductionmentioning

confidence: 99%

Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas

et al. 2015

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Face-selective regions (FSRs) are among the most widely studied functional regions in the human brain. However, individual variability of the FSRs has not been well quantified. Here we use functional magnetic resonance imaging (fMRI) to localize the FSRs and quantify their spatial and functional variabilities in 202 healthy adults. The occipital face area (OFA), posterior and anterior fusiform face areas (pFFA and aFFA), posterior continuation of the superior temporal sulcus (pcSTS), and posterior and anterior STS (pSTS and aSTS) were delineated for each individual with a semi-automated procedure. A probabilistic atlas was constructed to characterize their interindividual variability, revealing that the FSRs were highly variable in location and extent across subjects. The variability of FSRs was further quantified on both functional (i.e., face selectivity) and spatial (i.e., volume, location of peak activation, and anatomical location) features. Considerable interindividual variability and rightward asymmetry were found in all FSRs on these features. Taken together, our work presents the first effort to characterize comprehensively the variability of FSRs in a large sample of healthy subjects, and invites future work on the origin of the variability and its relation to individual differences in behavioral performance. Moreover, the probabilistic functional atlas will provide an adequate spatial reference for mapping the face network.

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“…Such a relationship between an anatomical landmark and a functional area is certainly less clear in non primary cortical areas as observed for instance by Tahmasebi et al (Tahmasebi et al, 2012) for early stages versus cognitively higher levels of auditory processing. The generalization of our results is then limited because spatial location of functional area may vary greatly across subjects within a cortical area (Frost and Goebel, 2012) and due to the use of possible individual strategy for high-level tasks. Note that despite the improvement in spatial resolution and functional alignment, we failed to separate the differential activation resulting from different movements.…”

Section: Discussionmentioning

confidence: 98%

Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human

Pizzagalli

Auzias²,

Delon‐Martin

et al. 2013

Journal of Neuroscience Methods

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Converging evidence conclusively demonstrates the robust relationship between anatomical landmarks and underlying functional organization in primary cortical regions. In consequence, a precise alignment across subjects of such specific individual landmarks should improve the overlap of the corresponding functional areas and thus the detection of active clusters at the group level. In an effort to define a dedicated processing pipeline for a fine non-invasive exploration of the motor cortex in human, we evaluated four recent non-linear registration methods based on anatomical and functional indexes. We used high-resolution functional MRI data to finely reveal the impact of the registration on the cortical assignment of the detected clusters. Our results first demonstrate that the quality of registration strongly affects the statistical significance and the assignment of activated clusters to specific anatomical regions, here in the primary motor area. Our results also illustrate the bias induced by the chosen reference template on the detected clusters. The analysis of the jacobian of the deformation field informs us about how each method deforms the anatomical structures and functional maps.The methodology we propose, combining high resolution fMRI and non-linear registration method, allows a robust non-invasive exploration of the motor cortex. * . Corresponding author at : Grenoble Institut des Neurosciences, INSERM U836, Batiment Edmond J Safra, Chemin Fortuné Ferrini, 38700 La Tronche, FR. Tel : +33 456520601 Fax : +33 452560599. E-mail address : Michel.Dojat@ujf-grenoble.fr (M. Dojat). Preprint submitted to Journal of Neuroscience Methods 9 avril 2013Keywords: Realignment, Diffeomorphic Registration, Functional MRI, Structural MRI, Jacobian, Sulci, Brain. Highlights• We propose the combination of high-resolution fMRI with non-linear registration technique involving explicit anatomical constraint for individual cortex region alignment.• Precise local anatomical landmark alignment improves functional cluster detection and localization at group level.• The quality of the registration obtained is assessed by both structural and functional indexes.

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Measuring structural–functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment

Cited by 295 publications

References 42 publications

Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex

Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex

Quantifying interindividual variability and asymmetry of face-selective regions: A probabilistic functional atlas

Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human

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