Functional connectivity constrains the category‐related organization of human ventral occipitotemporal cortex

Stevens, W. Dale; Tessler, Michael; Peng, Cynthia S.; Martin, Alex

doi:10.1002/hbm.22764

Cited by 73 publications

(71 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All other comparisons were either negative or not significantly different from 0. The presence of this triple order dissociation, in conjunction with selective effects, indicates that this multivariate approach is sensitive to the alignment between category-preferences in the ventral stream and functional connectivity to regions outside of the ventral stream; this is essentially a replication within a multivariate framework what past research has done with an ROI-based and univariate framework (e.g., Stevens et al 2015). …”

Section: Resultsmentioning

confidence: 79%

“…As noted, prior work indicates that category-preferring regions in the ventral stream exhibit privileged functional connectivity with regions outside of the ventral stream that show congruent category-preferences (Hutchison et al, 2014; O’Neil et al, 2014; Simmons & Martin, 2012; Stevens et al, 2015; Turk-Browne et al, 2010; Zhang et al, 2009; Zhu et al, 2011). It follows that there will be a positive relationship between connectivity and stimulus preferences when considering all voxels in the ventral stream.…”

Section: Resultsmentioning

confidence: 80%

“…For instance, both task-based (Pessoa et al 2006; Almeida et al 2013; Mahon et al 2013; Garcea & Mahon 2014) and resting functional connectivity (Zhang et al, 2009; Turk-Browne et al, 2010; Zhu et al, 2011; Simmons & Martin, 2012; Baldassano et al, 2013; He et al, 2013; Hutchison et al, 2014; O’Neil et al, 2014; Stevens, et al, 2015; Wang et al, 2015), as well as structural connectivity (Saygin et al, 2011; 2016; Mars et al, 2012; Bouhali et al, 2014; Osher et al, 2015), suggest alignment between stimulus preferences and connectivity to regions outside the ventral stream (for discussion of a connectivity-constrained account of category specificity, see Riesenhuber 2007; Martin, 2006; 2009; Mahon & Caramazza 2011; Chen & Rogers 2014; Behrmann & Plaut 2013; Mahon et al, 2007; 2009; Mahon, 2015). …”

Section: Introductionmentioning

confidence: 99%

“…Place stimuli and large and highly contextualized nonmanipulable objects consistently lead to differentially stronger BOLD responses in medial aspects of the ventral stream compared to small manipulable objects such as tools and utensils (e.g., Bar and Aminoff, 2003; Downing et al, 2005; Konkle and Oliva, 2012; Mahon et al, 2007). For that reason, the area has been dubbed the ‘parahippocampal place area.’ However, it has been observed (Hutchinson et al, 2014; Mahon et al, 2007; 2013; Nopponey et al, 2006; Almeida et al, 2013; Garcea and Mahon, 2014; Stevens et al, 2015) that regions of ventral temporal cortex that exhibit stronger BOLD responses to place stimuli than tool stimuli also show i) differential stimulus-specific repetition suppression for tools compared to non-tool manipulable objects (e.g. book) and large nonmanipulable objects (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Connectivity-based constraints on category-specificity in the ventral object processing pathway

et al. 2017

View full text Add to dashboard Cite

Recent efforts to characterize visual object representations in the ventral object processing pathway in the human brain have led to contrasting proposals about the causes of neural specificity for different categories. Here we use multivariate techniques in a novel way to relate patterns of functional connectivity to patterns of stimulus preferences. Stimulus preferences were measured throughout the ventral stream to tools, animals, faces and places; separately, we measured the strength of functional connectivity of each voxel in the ventral stream to category-preferring regions outside the ventral stream. Multivariate analyses were then performed over ventral stream voxels, relating ‘category-preferences’ to ‘functional connectivity preferences’. We show that the relation of those two measures doubly dissociates ‘tools’ and ‘places’, within what is ostensibly ‘place’ selective cortex (parahippocampal gyrus). Specifically, in the parahippocampal gyrus, functional connectivity to the left inferior parietal lobule is selectively related to stimulus preferences for tools (and not places), while functional connectivity to retrosplenial cortex is selectively related to place preferences (and not tools preferences). These findings indicate that functional connectivity can be used to index representational content rather than just provide an understanding of ‘which regions are talking to which regions’. We suggest that the connectivity of the brain is what drives category-specificity in the ventral stream, and that if this is correct, then understanding the connectivity of the ventral stream will be key to understanding the causes and function of category-specific neural organization.

show abstract

Section: Resultsmentioning

confidence: 79%

Section: Resultsmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Connectivity-based constraints on category-specificity in the ventral object processing pathway

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Stevens, et al ., 2015). However, task-localizers for functional area identification across cortex exceed the constraints of a single imaging study.…”

Section: Discussionmentioning

confidence: 99%

Individual parcellation of resting fMRI with a group functional connectivity prior

et al. 2017

View full text Add to dashboard Cite

Cortical parcellation based on resting fMRI is an important tool for investigating the functional organization and connectivity of the cerebral cortex. Group parcellation based on co-registration of anatomical images to a common atlas will inevitably result in errors in the locations of the boundaries of functional parcels when they are mapped back from the atlas to the individual. This is because areas of functional specialization vary across individuals in a manner that cannot be fully determined from the sulcal and gyral anatomy that is used for mapping between atlas and individual. We describe a method that avoids this problem by refining an initial group parcellation so that for each subject the parcel boundaries are optimized with respect to that subject’s resting fMRI. Initialization with a common parcellation results in automatic correspondence between parcels across subjects. Further, by using a group sparsity constraint to model connectivity, we exploit group similarities in connectivity between parcels while optimizing their boundaries for each individual. We applied this approach with initialization on both high and low density group cortical parcellations and used resting fMRI data to refine across a group of individuals. Cross validation studies show improved homogeneity of resting activity within the refined parcels. Comparisons with task-based localizers show consistent reduction of variance of statistical parametric maps within the refined parcels relative to the group-based initialization indicating improved delineation of regions of functional specialization. This method enables a more accurate estimation of individual subject functional areas, facilitating group analysis of functional connectivity, while maintaining consistency across individuals with a standardized topological atlas.

show abstract

Functional integration of the posterior superior temporal sulcus correlates with facial expression recognition

Wang

Song

Zhen

et al. 2016

Human Brain Mapping

View full text Add to dashboard Cite

Face perception is essential for daily and social activities. Neuroimaging studies have revealed a distributed face network (FN) consisting of multiple regions that exhibit preferential responses to invariant or changeable facial information. However, our understanding about how these regions work collaboratively to facilitate facial information processing is limited. Here, we focused on changeable facial information processing, and investigated how the functional integration of the FN is related to the performance of facial expression recognition. To do so, we first defined the FN as voxels that responded more strongly to faces than objects, and then used a voxel-based global brain connectivity method based on resting-state fMRI to characterize the within-network connectivity (WNC) of each voxel in the FN. By relating the WNC and performance in the "Reading the Mind in the Eyes" Test across participants, we found that individuals with stronger WNC in the right posterior superior temporal sulcus (rpSTS) were better at recognizing facial expressions. Further, the resting-state functional connectivity (FC) between the rpSTS and right occipital face area (rOFA), early visual cortex (EVC), and bilateral STS were positively correlated with the ability of facial expression recognition, and the FCs of EVC-pSTS and OFA-pSTS contributed independently to facial expression recognition. In short, our study highlights the behavioral significance of intrinsic functional integration of the FN in facial expression processing, and provides evidence for the hub-like role of the rpSTS for facial expression recognition. Hum Brain Mapp 37:1930-1940, 2016. © 2016 Wiley Periodicals, Inc.

show abstract

Functional connectivity constrains the category‐related organization of human ventral occipitotemporal cortex

Cited by 73 publications

References 84 publications

Connectivity-based constraints on category-specificity in the ventral object processing pathway

Connectivity-based constraints on category-specificity in the ventral object processing pathway

Individual parcellation of resting fMRI with a group functional connectivity prior

Functional integration of the posterior superior temporal sulcus correlates with facial expression recognition

Contact Info

Product

Resources

About