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1. 2015 Brainhack Proceedings

Author

R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller, AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro, Ben Cipollini, Ariel Rokem, Daniel Clark, Krzysztof J. Gorgolewski, Daniel J. Clark, Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades, Sebastien Dery, Weiran Deng, Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Caroline Froehlich, Gil Dekel, Daniel S. Margulies, Ben D. Fulcher, Tristan Glatard, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans, Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello, Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya, Kaori L. Ito, Sook-Lei Liew, Hans J. Johnson, Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Marcel Falkiewicz, Julia M. Huntenburg, David O’Connor, Michael P. Milham, Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi, Rickson Mesquita, Luis C. T. Herrera, Daniela Dentico, Vanessa Sochat, Julio E. Villalon-Reina, and Eleftherios Garyfallidis

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Table of contents I1 Introduction to the 2015 Brainhack Proceedings R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller A1 Distributed collaboration: the case for the enhancement of Brainspell’s interface AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro A2 Advancing open science through NiData Ben Cipollini, Ariel Rokem A3 Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC Daniel Clark, Krzysztof J. Gorgolewski, R. Cameron Craddock A4 Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI R. Cameron Craddock, Daniel J. Clark A5 LORIS: DICOM anonymizer Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades A6 Automatic extraction of academic collaborations in neuroimaging Sebastien Dery A7 NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files Weiran Deng A8 Human Connectome Project Minimal Preprocessing Pipelines to Nipype Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Krzysztof J. Gorgolewski A9 Generating music with resting-state fMRI data Caroline Froehlich, Gil Dekel, Daniel S. Margulies, R. Cameron Craddock A10 Highly comparable time-series analysis in Nitime Ben D. Fulcher A11 Nipype interfaces in CBRAIN Tristan Glatard, Samir Das, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans A12 DueCredit: automated collection of citations for software, methods, and data Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello A13 Open source low-cost device to register dog’s heart rate and tail movement Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya A14 Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data Kaori L. Ito, Sook-Lei Liew A15 Wrapping FreeSurfer 6 for use in high-performance computing environments Hans J. Johnson A16 Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Sook-Lei Liew A17 A cortical surface-based geodesic distance package for Python Daniel S Margulies, Marcel Falkiewicz, Julia M Huntenburg A18 Sharing data in the cloud David O’Connor, Daniel J. Clark, Michael P. Milham, R. Cameron Craddock A19 Detecting task-based fMRI compliance using plan abandonment techniques Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A20 Self-organization and brain function Jörg P. Pfannmöller, Rickson Mesquita, Luis C.T. Herrera, Daniela Dentico A21 The Neuroimaging Data Model (NIDM) API Vanessa Sochat, B Nolan Nichols A22 NeuroView: a customizable browser-base utility Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A23 DIPY: Brain tissue classification Julio E. Villalon-Reina, Eleftherios Garyfallidis

Published
2016
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2. Early Developmental Trajectories of Functional Connectivity Along the Visual Pathways in Rhesus Monkeys

Author

Oscar Miranda-Dominguez, Eric A. Maltbie, Eric Earl, J. Steele, Eric Feczko, Mar M. Sanchez, Ling Li, Damien A. Fair, Jocelyne Bachevalier, Elyse L. Morin, Brittany R. Howell, Melanie Pincus, Martin Styner, and Zsofia Kovacs-Balint

Subjects
Dorsum, Male, genetic structures, Cognitive Neuroscience, Period (gene), Prefrontal Cortex, Biology, Visual system, Macaque, 050105 experimental psychology, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Functional neuroimaging, biology.animal, Neural Pathways, Animals, 0501 psychology and cognitive sciences, Attention, Visual Pathways, Social Behavior, Visual Cortex, Neuronal Plasticity, Socioemotional selectivity theory, Early weaning, Functional connectivity, Functional Neuroimaging, 05 social sciences, Brain, Amygdala, Macaca mulatta, Magnetic Resonance Imaging, Temporal Lobe, Frontal Lobe, Animals, Newborn, Original Article, Neuroscience, 030217 neurology & neurosurgery
Abstract

Early social interactions shape the development of social behavior, although the critical periods or the underlying neurodevelopmental processes are not completely understood. Here, we studied the developmental changes in neural pathways underlying visual social engagement in the translational rhesus monkey model. Changes in functional connectivity (FC) along the ventral object and motion pathways and the dorsal attention/visuo-spatial pathways were studied longitudinally using resting-state functional MRI in infant rhesus monkeys, from birth through early weaning (3 months), given the socioemotional changes experienced during this period. Our results revealed that (1) maturation along the visual pathways proceeds in a caudo-rostral progression with primary visual areas (V1–V3) showing strong FC as early as 2 weeks of age, whereas higher-order visual and attentional areas (e.g., MT–AST, LIP–FEF) show weak FC; (2) functional changes were pathway-specific (e.g., robust FC increases detected in the most anterior aspect of the object pathway (TE–AMY), but FC remained weak in the other pathways (e.g., AST–AMY)); (3) FC matures similarly in both right and left hemispheres. Our findings suggest that visual pathways in infant macaques undergo selective remodeling during the first 3 months of life, likely regulated by early social interactions and supporting the transition to independence from the mother.

Published
2018

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