A multi-modal parcellation of human cerebral cortex
Matthew F. Glasser,Timothy S. Coalson,Emma C. Robinson,Emma C. Robinson,Carl D. Hacker,John W. Harwell,Essa Yacoub,Kamil Ugurbil,Jesper L. R. Andersson,Christian F. Beckmann,Mark Jenkinson,Stephen Smith,David C. Van Essen +12 more
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TLDR
Using multi-modal magnetic resonance images from the Human Connectome Project and an objective semi-automated neuroanatomical approach, 180 areas per hemisphere are delineated bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults.Abstract:
Understanding the amazingly complex human cerebral cortex requires a map (or parcellation) of its major subdivisions, known as cortical areas. Making an accurate areal map has been a century-old objective in neuroscience. Using multi-modal magnetic resonance images from the Human Connectome Project (HCP) and an objective semi-automated neuroanatomical approach, we delineated 180 areas per hemisphere bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults. We characterized 97 new areas and 83 areas previously reported using post-mortem microscopy or other specialized study-specific approaches. To enable automated delineation and identification of these areas in new HCP subjects and in future studies, we trained a machine-learning classifier to recognize the multi-modal 'fingerprint' of each cortical area. This classifier detected the presence of 96.6% of the cortical areas in new subjects, replicated the group parcellation, and could correctly locate areas in individuals with atypical parcellations. The freely available parcellation and classifier will enable substantially improved neuroanatomical precision for studies of the structural and functional organization of human cerebral cortex and its variation across individuals and in development, aging, and disease.read more
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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Journal ArticleDOI
Situating the default-mode network along a principal gradient of macroscale cortical organization
Daniel S. Margulies,Satrajit S. Ghosh,Satrajit S. Ghosh,Alexandros Goulas,Marcel Falkiewicz,Julia M. Huntenburg,Georg Langs,Georg Langs,Gleb Bezgin,Simon B. Eickhoff,F. Xavier Castellanos,F. Xavier Castellanos,Michael Petrides,Elizabeth Jefferies,Jonathan Smallwood +14 more
TL;DR: An overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions is described, suggesting that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
Journal ArticleDOI
Shared and distinct transcriptomic cell types across neocortical areas
Bosiljka Tasic,Zizhen Yao,Lucas T. Graybuck,Kimberly A. Smith,Thuc Nghi Nguyen,Darren Bertagnolli,Jeff Goldy,Emma Garren,Michael N. Economo,Sarada Viswanathan,Osnat Penn,Trygve E. Bakken,Vilas Menon,Vilas Menon,Jeremy A. Miller,Olivia Fong,Karla E. Hirokawa,Kanan Lathia,Christine Rimorin,Michael Tieu,Rachael Larsen,Tamara Casper,Eliza Barkan,Matthew Kroll,Sheana Parry,Nadiya V. Shapovalova,Daniel Hirschstein,Julie Pendergraft,Heather A. Sullivan,Tae Kyung Kim,Aaron Szafer,Nick Dee,Peter A. Groblewski,Ian R. Wickersham,Ali Cetin,Julie A. Harris,Boaz P. Levi,Susan M. Sunkin,Linda Madisen,Tanya L. Daigle,Loren L. Looger,Amy Bernard,John W. Phillips,Ed S. Lein,Michael Hawrylycz,Karel Svoboda,Allan R. Jones,Christof Koch,Hongkui Zeng +48 more
TL;DR: This study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct areas of the adult mouse cortex and identifies 133 transcriptomic types of glutamatergic neurons to their long-range projection specificity.
Journal ArticleDOI
Conserved cell types with divergent features in human versus mouse cortex.
Rebecca D. Hodge,Trygve E. Bakken,Jeremy A. Miller,Kimberly A. Smith,Eliza Barkan,Lucas T. Graybuck,Jennie L. Close,Brian Long,Nelson Johansen,Osnat Penn,Zizhen Yao,Jeroen Eggermont,Thomas Höllt,Thomas Höllt,Boaz P. Levi,Soraya I. Shehata,Brian D. Aevermann,Allison Beller,Darren Bertagnolli,Krissy Brouner,Tamara Casper,Charles Cobbs,Rachel A. Dalley,Nick Dee,Songlin Ding,Richard G. Ellenbogen,Olivia Fong,Emma Garren,Jeff Goldy,Ryder P. Gwinn,Daniel Hirschstein,C. Dirk Keene,Mohamed Keshk,Andrew L. Ko,Andrew L. Ko,Kanan Lathia,Ahmed Mahfouz,Ahmed Mahfouz,Zoe Maltzer,Medea McGraw,Thuc Nghi Nguyen,Julie Nyhus,Jeffrey G. Ojemann,Jeffrey G. Ojemann,Aaron Oldre,Sheana Parry,Shannon Reynolds,Christine Rimorin,Nadiya V. Shapovalova,Saroja Somasundaram,Aaron Szafer,Elliot R. Thomsen,Michael Tieu,Gerald Quon,Richard H. Scheuermann,Richard H. Scheuermann,Rafael Yuste,Susan M. Sunkin,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,David Feng,Lydia Ng,Amy Bernard,Michael Hawrylycz,John W. Phillips,Bosiljka Tasic,Hongkui Zeng,Allan R. Jones,Christof Koch,Ed Lein +69 more
TL;DR: RNA-sequencing analysis of cells in the human cortex enabled identification of diverse cell types, revealing well-conserved architecture and homologous cell types as well as extensive differences when compared with datasets covering the analogous region of the mouse brain.
Journal ArticleDOI
The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences.
TL;DR: The very reason such tasks produce robust and easily replicable experimental effects – low between-participant variability – makes their use as correlational tools problematic, and it is demonstrated that taking reliability estimates into account has the potential to qualitatively change theoretical conclusions.
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