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Connectivity searchlight: A novel approach for MRI information mapping using multivariate connectivity

Soheil Faridi, Jonas Richiardi, Patrik Vuilleumier, Dimitri Van De Ville
2013 2013 IEEE 10th International Symposium on Biomedical Imaging  
Brain mapping using magnetic resonance imaging (MRI) is traditionally performed using voxel-wise statistical hypothesis testing. Such mass-univariate approach ignores subtle spatial interactions.  ...  We coin the term "connectivity searchlight" for the extended searchlight.  ...  (d) Information maps for searchlight and connectivity searchlight, respectively. Fig. 1 : 1 Principle of connectivity searchlight.  ... 
doi:10.1109/isbi.2013.6556464 dblp:conf/isbi/FaridiRVV13 fatcat:3xas2mtrn5d35mbvnhzdhya5ii

Multivariate Searchlight Classification of Structural Magnetic Resonance Imaging in Children and Adolescents with Autism

Lucina Q. Uddin, Vinod Menon, Christina B. Young, Srikanth Ryali, Tianwen Chen, Amirah Khouzam, Nancy J. Minshew, Antonio Y. Hardan
2011 Biological Psychiatry  
Methods-We use voxel-based morphometry (VBM) along with a novel multivariate pattern analysis (MPA) approach and searchlight algorithm to classify structural magnetic resonance imaging data acquired from  ...  Characterization of brain structural differences in children with ASD is critical for development of biomarkers that may eventually be used to improve diagnosis and monitor response to treatment.  ...  This data was published in abstract form at the annual meeting of the Organization for Human Brain Mapping in 2011.  ... 
doi:10.1016/j.biopsych.2011.07.014 pmid:21890111 pmcid:PMC3191298 fatcat:xeh5jsc5lbbclo6zyarwcv6yxy

Illuminating the conceptual structure of the space of moral violations with searchlight representational similarity analysis

E.A. Wasserman, A. Chakroff, R. Saxe, L. Young
2017 NeuroImage  
The present analyses offer a case study for understanding how organization within the complex conceptual space of moral violations is reflected in the organization of neural patterns across the cortex.  ...  Further, we find initial evidence for representation of morally relevant features within these two domain-encoding regions.  ...  Searchlight maps for each regressor are shown in Fig. 4 . A statistical map and average map of R 2 values for the model across the cortex is shown in S.I. Fig. 4 .  ... 
doi:10.1016/j.neuroimage.2017.07.043 pmid:28743459 pmcid:PMC5671354 fatcat:dkm3tukxybalfeo3wnt5r3q3au

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

Quanjing Chen, Frank E. Garcea, Jorge Almeida, Bradford Z. Mahon
2017 Neuropsychologia  
Here we use multivariate techniques in a novel way to relate patterns of functional connectivity to patterns of stimulus preferences.  ...  for different categories.  ...  Preparation of this manuscript was supported in part by a Foundation for Science and Technology of Portugal Project Grant PTDC/MHC-PCN/3575/2012, and programa COMPETE to J. A.  ... 
doi:10.1016/j.neuropsychologia.2016.11.014 pmid:27876509 pmcid:PMC5438294 fatcat:p7l7b7tip5bybmsyopu2wpwkjq

Searchlight Classification Informative Region Mixture Model (SCIM): Identification of Cortical Regions Showing Discriminable BOLD Patterns in Event-Related Auditory fMRI Data

Annika Urbschat, Stefan Uppenkamp, Jörn Anemüller
2021 Frontiers in Neuroscience  
The present paper contributes a novel statistical analysis method for fMRI experiments, searchlight classification informative region mixture model (SCIM), that is based on the assumption that the whole  ...  A generative statistical model is proposed that assigns a probability of being informative to each position in the brain, based on a combination of a support vector machine searchlight analysis and Gaussian  ...  DISCUSSION This paper presents a novel method for the evaluation of results obtained from multivariate searchlight classification analysis of fMRI data.  ... 
doi:10.3389/fnins.2020.616906 pmid:33597841 pmcid:PMC7882477 fatcat:an4m3pzwqzfhdfk34uqod64fwa

Hierarchical Organization of Auditory and Motor Representations in Speech Perception: Evidence from Searchlight Similarity Analysis

Samuel Evans, Matthew H. Davis
2015 Cerebral Cortex  
We found evidence for a graded hierarchy of abstraction across the brain.  ...  Here, we use searchlight representational similarity analysis (RSA) to localize and characterize neural representations of syllables at different levels of the hierarchically organized temporo-frontal  ...  We thank Niko Kriegeskorte, Hamed Nili and Su Li for discussion and assistance in using the RSA toolbox.  ... 
doi:10.1093/cercor/bhv136 pmid:26157026 pmcid:PMC4635918 fatcat:vdbrjctwmbevzkwm7ysalennri

Functional Connectivity Glyphs for Brain Visualization [article]

J. Böttger, R. Schurade, D. S. Margulies
2013 International Workshop on Visualization in Medicine and Life Sciences  
We present a novel approach to visualize functional connectivity that displays full connectivity between nodes on the cortical surface.  ...  The correlation of spontaneous brain activity, termed: functional connectivity, has become a valuable method in recent years for mapping brain organization.  ...  Related Work Functional Connectivity Visualization Glyph Visualization for Diffusion-Weighted MRI Glyphs are widely used for the visualization of directionality information in diffusion-weighted imaging  ... 
doi:10.2312/pe.vmls.vmls2013.001-005 dblp:conf/vmls-ws/BottgerSM13 fatcat:e56642sokjaxfc4he6fijuvn6q

Self-other representation in the social brain reflects social connection [article]

Andrea L. Courtney, Meghan L. Meyer
2019 biorxiv/medrxiv   pre-print
During an fMRI scan, participants (N=43) completed a self- and other-reflection task for 16 targets: the self, five close others, five acquaintances, and five celebrities.  ...  Critically, participants who were less socially connected (i.e. lonelier) showed altered self-other mapping in social brain regions.  ...  Collectively, these results provide novel insight into how the social brain maps our subjective connections to others, and how loneliness alters this mapping.  ... 
doi:10.1101/856856 fatcat:bbc6k3goh5fptljrhl7abdyjia

Representational Connectivity Analysis: Identifying Networks of Shared Changes in Representational Strength through Jackknife Resampling [article]

Marc N Coutanche, Rae R. Buckser, Essang Akpan
2020 bioRxiv   pre-print
We propose a method for identifying representational connectivity (RC) networks, which share fluctuations in representational strength, in an analogous manner to functional connectivity (FC), which tracks  ...  The novel representational connectivity analysis identified a network comprising regions associated with lower-level visual processing, spatial cognition, perceptual-motor integration, and visual attention  ...  The partial correlation coefficients obtained for each searchlight were collated into whole-brain representational connectivity (RC) maps for the behavior and taxonomy conditions within each individual  ... 
doi:10.1101/2020.05.28.103077 fatcat:syseihdykng5doxobepnpbrdvu

Neuronal or Hemodynamic? Grappling with the Functional MRI Signal

Peter A. Bandettini
2014 Brain Connectivity  
Magnetic resonance imaging (MRI) and functional MRI (fMRI) continue to advance because creative physicists, engineers, neuroscientists, clinicians, and physiologists find new ways for extracting more information  ...  Innovations in pulse sequence design, paradigm design, and processing methods have advanced the field and firmly established fMRI as a cornerstone for understanding the human brain.  ...  Using this basic idea, connectivity maps of the brain have been created.  ... 
doi:10.1089/brain.2014.0288 pmid:25093397 pmcid:PMC4150394 fatcat:5svxvyq2svealh6mtuyuqcxjfa

Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA) [article]

Alfonso Nieto-Castanon
2022 arXiv   pre-print
This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel application of multivariate pattern analysis techniques in the context of brain-wide connectome inferences  ...  for any but the largest effect sizes.  ...  Compared to this mass-univariate approach, functional connectivity MultiVariate Analyses (fc-MVA) use a searchlight approach where each individual analysis focuses on one individual voxel-of-interest x  ... 
arXiv:2206.06951v1 fatcat:fnq5uimy7ng63cd2lqpsjpfooe

Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer's disease

Nicholas Myers, Lorenzo Pasquini, Jens Göttler, Timo Grimmer, Kathrin Koch, Marion Ortner, Julia Neitzel, Mark Mühlau, Stefan Förster, Alexander Kurz, Hans Förstl, Claus Zimmer (+4 others)
2014 Brain  
This overlap suggests a mechanistic link between amyloid-b and intrinsic connectivity, and indeed there is evidence in patients for the detrimental effects of amyloid-b plaque accumulation on intrinsic  ...  aggregates in areas of high intrinsic connectivity on a within-network basis.  ...  They also wish to thank Magdolna Tardy and Josette Hö hn for assistance with data collection.  ... 
doi:10.1093/brain/awu103 pmid:24771519 pmcid:PMC4065018 fatcat:du7zbohqgbeh3b2izrkoddngn4

High-level representations in human occipito-temporal cortex are indexed by distal connectivity

Jon Walbrin, Jorge Almeida
2021 Journal of Neuroscience  
We employ a novel 'connectivity-guided' voxel selection approach with functional MRI data to show higher sensitivity to information (i.e. higher multivoxel pattern discriminability) in voxel sets that  ...  Human object recognition is dependent on occipito-temporal cortex, but a complete understanding of the complex functional architecture of this area must account for how it is connected to the wider brain  ...  voxel selection searchlight maps (input maps were normalised and smoothed with a 6mm FWHM kernel).  ... 
doi:10.1523/jneurosci.2857-20.2021 pmid:33849949 pmcid:PMC8260247 fatcat:sshbfp3re5by7ecouakn2qgh3u

Multivariate Activation and Connectivity Patterns Discriminate Speech Intelligibility in Wernicke's, Broca's, and Geschwind's Areas

D. A. Abrams, S. Ryali, T. Chen, E. Balaban, D. J. Levitin, V. Menon
2012 Cerebral Cortex  
Here we use functional magnetic resonance imaging with a novel whole-brain multivariate pattern analysis (MVPA) to more fully characterize neural responses and connectivity to intelligible speech.  ...  Our findings bridge a divide between neural models of speech comprehension and the neuroimaging literature on speech intelligibility, and suggest that speech intelligibility relies on differential multivariate  ...  Notes We thank Jason Hom for assistance with data acquisition and Drs Lucina Uddin and Miriam Rosenberg-Lee for critical comments on this work.  ... 
doi:10.1093/cercor/bhs165 pmid:22693339 pmcid:PMC3673181 fatcat:m2w2adtrvnc2vmalnlzj2cfmqu

High-level representations in human occipito-temporal cortex are indexed by distal connectivity [article]

Jon Walbrin, Jorge Almeida
2021 bioRxiv   pre-print
We employ a novel 'connectivity-guided' voxel selection approach with functional MRI data to show higher sensitivity to information (i.e. higher multivoxel pattern discriminability) in voxel sets that  ...  AbstractHuman object recognition is dependent on occipito-temporal cortex, but a complete understanding of the complex functional architecture of this area must account for how it is connected to the wider  ...  Figure 3 . 3 Group searchlight maps showing "good seed" areas, for each target region.  ... 
doi:10.1101/2021.02.22.432202 fatcat:cormm23edzc2tbyf2g3jrqaazm
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