Function-based Intersubject Alignment of Human Cortical Anatomy

Making conclusions about the functional neuroanatomical organization of the human brain requires methods for relating the functional anatomy of an individual's brain to population variability. We have developed a method for aligning the functional neuroanatomy of individual brains based on the patterns of neural activity that are elicited by viewing a movie. Instead of basing alignment on functionally defined areas, whose location is defined as the center of mass or the local maximum response, the alignment is based on patterns of response as they are distributed spatially both within and across cortical areas. The method is implemented in the two-dimensional manifold of an inflated, spherical cortical surface. The method, although developed using movie data, generalizes successfully to data obtained with another cognitive activation paradigm—viewing static images of objects and faces—and improves group statistics in that experiment as measured by a standard general linear model (GLM) analysis.

[1]  P. C. Murphy,et al.  Cerebral Cortex , 2017, Cerebral Cortex.

[2]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[3]  A. Grinvald,et al.  Relationships between orientation-preference pinwheels, cytochrome oxidase blobs, and ocular-dominance columns in primate striate cortex. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Richard S. J. Frackowiak,et al.  Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. , 1993, Cerebral cortex.

[5]  A. Galaburda,et al.  Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. , 1993, Cerebral cortex.

[6]  J W Belliveau,et al.  Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. , 1995, Science.

[7]  R. Andersen,et al.  Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[8]  T. Allison,et al.  Differential Sensitivity of Human Visual Cortex to Faces, Letterstrings, and Textures: A Functional Magnetic Resonance Imaging Study , 1996, The Journal of Neuroscience.

[9]  T. Allison,et al.  Face-Specific Processing in the Human Fusiform Gyrus , 1997, Journal of Cognitive Neuroscience.

[10]  N. Kanwisher,et al.  The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.

[11]  Nancy Kanwisher,et al.  A cortical representation of the local visual environment , 1998, Nature.

[12]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[13]  Leslie G. Ungerleider,et al.  Distributed representation of objects in the human ventral visual pathway. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[14]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[15]  Leslie G. Ungerleider,et al.  The Effect of Face Inversion on Activity in Human Neural Systems for Face and Object Perception , 1999, Neuron.

[16]  Leslie G. Ungerleider,et al.  The Representation of Objects in the Human Occipital and Temporal Cortex , 2000, Journal of Cognitive Neuroscience.

[17]  J. Haxby,et al.  The distributed human neural system for face perception , 2000, Trends in Cognitive Sciences.

[18]  T. Allison,et al.  Social perception from visual cues: role of the STS region , 2000, Trends in Cognitive Sciences.

[19]  Frank Tong,et al.  The Face of Controversy , 2001, Science.

[20]  N. Kanwisher,et al.  The Human Body , 2001 .

[21]  J Mazziotta,et al.  A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[22]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[23]  David C. Van Essen,et al.  Application of Information Technology: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex , 2001, J. Am. Medical Informatics Assoc..

[24]  D. Louis Collins,et al.  Application of Information Technology: A Four-Dimensional Probabilistic Atlas of the Human Brain , 2001, J. Am. Medical Informatics Assoc..

[25]  M. Raichle,et al.  Searching for a baseline: Functional imaging and the resting human brain , 2001, Nature Reviews Neuroscience.

[26]  Wrong signals: when is a red signal red? An interview with Roger Watt , 2002, Trends in Cognitive Sciences.

[27]  G. Orban,et al.  The organization of orientation selectivity throughout macaque visual cortex. , 2002, Cerebral cortex.

[28]  B. Fischer,et al.  Visual field representations and locations of visual areas V1/2/3 in human visual cortex. , 2003, Journal of vision.

[29]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Jan Modersitzki,et al.  Numerical Methods for Image Registration , 2004 .

[31]  R. Malach,et al.  Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.

[32]  Stephen José Hanson,et al.  Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area? , 2004, NeuroImage.

[33]  Andreas Bartels,et al.  The chronoarchitecture of the human brain—natural viewing conditions reveal a time-based anatomy of the brain , 2004, NeuroImage.

[34]  B. Argall,et al.  Unraveling multisensory integration: patchy organization within human STS multisensory cortex , 2004, Nature Neuroscience.

[35]  S. Zeki,et al.  Functional brain mapping during free viewing of natural scenes , 2004, Human brain mapping.

[36]  F. Tong,et al.  Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.

[37]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[38]  B. Argall,et al.  Simplified intersubject averaging on the cortical surface using SUMA , 2006, Human brain mapping.

[39]  Aaron C. Koralek,et al.  Two Takes on the Social Brain: A Comparison of Theory of Mind Tasks , 2007, Journal of Cognitive Neuroscience.

[40]  Rafael Malach,et al.  Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. , 2007, Cerebral cortex.

[41]  Brian J. Scholl,et al.  Attentive tracking of objects vs. substances , 2010 .