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Rajimehr R, Xu H, Farahani A, Kornblith S, Duncan J, Desimone R. Functional architecture of cerebral cortex during naturalistic movie watching. Neuron 2024; 112:4130-4146.e3. [PMID: 39510071 DOI: 10.1016/j.neuron.2024.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/23/2024] [Accepted: 10/04/2024] [Indexed: 11/15/2024]
Abstract
Characterizing the functional organization of cerebral cortex is a fundamental step in understanding how different kinds of information are processed in the brain. However, it is still unclear how these areas are organized during naturalistic visual and auditory stimulation. Here, we used high-resolution functional MRI data from 176 human subjects to map the macro-architecture of the entire cerebral cortex based on responses to a 60-min audiovisual movie stimulus. A data-driven clustering approach revealed a map of 24 functional areas/networks, each explicitly linked to a specific aspect of sensory or cognitive processing. Novel features of this map included an extended scene-selective network in the lateral prefrontal cortex, separate clusters responsive to human-object and human-human interaction, and a push-pull interaction between three executive control (domain-general) networks and domain-specific regions of the visual, auditory, and language cortex. Our cortical parcellation provides a comprehensive and unified map of functionally defined areas in the human cerebral cortex.
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Affiliation(s)
- Reza Rajimehr
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
| | - Haoran Xu
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Asa Farahani
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | | | - John Duncan
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Robert Desimone
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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Blauch NM, Plaut DC, Vin R, Behrmann M. Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.15.618268. [PMID: 39464049 PMCID: PMC11507683 DOI: 10.1101/2024.10.15.618268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
The ventral temporal cortex (VTC) of the human cerebrum is critically engaged in computations related to high-level vision. One intriguing aspect of this region is its asymmetric organization and functional lateralization. Notably, in the VTC, neural responses to words are stronger in the left hemisphere, whereas neural responses to faces are stronger in the right hemisphere. Converging evidence has suggested that left-lateralized word responses emerge to couple efficiently with left-lateralized frontotemporal language regions, but evidence is more mixed regarding the sources of the right-lateralization for face perception. Here, we use individual differences as a tool to adjudicate between three theories of VTC organization arising from: 1) local competition between words and faces, 2) local competition between faces and other categories, 3) long-range coupling with VTC and frontotemporal areas subject to their own local competition. First, in an in-house functional MRI experiment, we demonstrated that individual differences in laterality are both substantial and reliable within a right-handed population of young adults. We found no (anti-)correlation in the laterality of word and face selectivity relative to object responses, and a positive correlation when using selectivity relative to a fixation baseline, challenging ideas of local competition between words and faces. We next examined broader local competition with faces using the large-scale Human Connectome Project (HCP) dataset. Face and tool laterality were significantly anti-correlated, while face and body laterality were positively correlated, consistent with the idea that generic local representational competition and cooperation may shape face lateralization. Last, we assessed the role of long-range coupling in the development of VTC laterality. Within our in-house experiment, substantial correlation was evident between VTC text laterality and several other nodes of a distributed text-processing circuit. In the HCP data, VTC face laterality was both negatively correlated with frontotemporal language laterality, and positively correlated with social perception laterality in the same areas, consistent with a long-range coupling effect between face and social processing representations, driven by local competition between language and social processing. We conclude that both local and long-range interactions shape the heterogeneous hemispheric specializations in high-level visual cortex.
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Affiliation(s)
- Nicholas M Blauch
- Program in Neural Computation, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
- Department of Psychology, Harvard University
| | - David C Plaut
- Department of Psychology, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
| | - Raina Vin
- Department of Psychology, Carnegie Mellon University
- Neurosciences Graduate Program, Yale University
| | - Marlene Behrmann
- Department of Psychology, Carnegie Mellon University
- Neuroscience Institute, Carnegie Mellon University
- Department of Opthamology, University of Pittsburgh
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Wen H, Wang D, Bi Y. Processing Language Partly Shares Neural Genetic Basis with Processing Tools and Body Parts. eNeuro 2024; 11:ENEURO.0138-24.2024. [PMID: 38886065 PMCID: PMC11298957 DOI: 10.1523/eneuro.0138-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/20/2024] Open
Abstract
Language is an evolutionarily salient faculty for humans that relies on a distributed brain network spanning across frontal, temporal, parietal, and subcortical regions. To understand whether the complex language network shares common or distinct genetic mechanisms, we examined the relationships between the genetic effects underlying the brain responses to language and a set of object domains that have been suggested to coevolve with language: tools, faces (indicating social), and body parts (indicating social and gesturing). Analyzing the twin datasets released by the Human Connectome Project that had functional magnetic resonance imaging data from human twin subjects (monozygotic and dizygotic) undergoing language and working memory tasks contrasting multiple object domains (198 females and 144 males for the language task; 192 females and 142 males for the working memory task), we identified a set of cortical regions in the frontal and temporal cortices and subcortical regions whose activity to language was significantly genetically influenced. The heterogeneity of the genetic effects among these language clusters was corroborated by significant differences of the human gene expression profiles (Allen Human Brain Atlas dataset). Among them, the bilateral basal ganglia (mainly dorsal caudate) exhibited a common genetic basis for language, tool, and body part processing, and the right superior temporal gyrus exhibited a common genetic basis for language and tool processing across multiple types of analyses. These results uncovered the heterogeneous genetic patterns of language neural processes, shedding light on the evolution of language and its shared origins with tools and bodily functions.
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Affiliation(s)
- Haojie Wen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
- School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Dahui Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
- School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Yanchao Bi
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
- Chinese Institute for Brain Research, Beijing 102206, China
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Malatesta G, Prete G, D'Anselmo A, Lucafò C, Tommasi L. Artistic turns: laterality in paintings of kisses and embraces. Laterality 2024; 29:396-415. [PMID: 39257221 DOI: 10.1080/1357650x.2024.2399352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 08/27/2024] [Indexed: 09/12/2024]
Abstract
Many lateral biases exist in human behavior, often implicit and not deliberated. Romantic kissing and embracing received experimental attention in the last three decades. We investigated laterality in paintings depicting these social interactions using two methodologies to assess whether painters depicted such biases and whether these biases could be due to observers' aesthetic preferences or painters' ability in portraying naturalistic interactions. In Study 1, we inspected about 190,000 artworks available online to classify leftward and rightward biases in romantic kisses and embraces. The comparison of 103 paintings depicting clearly lateralized interactions revealed a significant rightward bias in romantic kissing (66%) and a trend toward a leftward bias (62%) for embraces, aligning with naturalistic studies of human interactions. In Study 2, 128 participants expressed their aesthetic preference between the paintings selected in Study 1 and their vertically mirrored versions. A preference for the original paintings over their mirrored versions emerged, especially when presented in the upper portion of the screen, but no significant preference for the typical lateralization of kissing and embracing was found. These findings suggest that artists' alignment with naturalistic biases could be due to familiarity and exposure to asymmetric interactions rather than observers' aesthetic preferences.
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Affiliation(s)
- Gianluca Malatesta
- Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Giulia Prete
- Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Anita D'Anselmo
- Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Chiara Lucafò
- Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Luca Tommasi
- Department of Psychology, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
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Ozernov-Palchik O, O’Brien AM, Jiachen Lee E, Richardson H, Romeo R, Lipkin B, Small H, Capella J, Nieto-Castañón A, Saxe R, Gabrieli JDE, Fedorenko E. Precision fMRI reveals that the language network exhibits adult-like left-hemispheric lateralization by 4 years of age. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594172. [PMID: 38798360 PMCID: PMC11118489 DOI: 10.1101/2024.05.15.594172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Left hemisphere damage in adulthood often leads to linguistic deficits, but many cases of early damage leave linguistic processing preserved, and a functional language system can develop in the right hemisphere. To explain this early apparent equipotentiality of the two hemispheres for language, some have proposed that the language system is bilateral during early development and only becomes left-lateralized with age. We examined language lateralization using functional magnetic resonance imaging with two large pediatric cohorts (total n=273 children ages 4-16; n=107 adults). Strong, adult-level left-hemispheric lateralization (in activation volume and response magnitude) was evident by age 4. Thus, although the right hemisphere can take over language function in some cases of early brain damage, and although some features of the language system do show protracted development (magnitude of language response and strength of inter-regional correlations in the language network), the left-hemisphere bias for language is robustly present by 4 years of age. These results call for alternative accounts of early equipotentiality of the two hemispheres for language.
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Affiliation(s)
- Ola Ozernov-Palchik
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Amanda M. O’Brien
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02138, United States
| | - Elizabeth Jiachen Lee
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - Hilary Richardson
- School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Rachel Romeo
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20742, United States
| | - Benjamin Lipkin
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - Hannah Small
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Jimmy Capella
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | | | - Rebecca Saxe
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - John D. E. Gabrieli
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - Evelina Fedorenko
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
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Olson HA, Chen EM, Lydic KO, Saxe RR. Left-Hemisphere Cortical Language Regions Respond Equally to Observed Dialogue and Monologue. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2023; 4:575-610. [PMID: 38144236 PMCID: PMC10745132 DOI: 10.1162/nol_a_00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 09/20/2023] [Indexed: 12/26/2023]
Abstract
Much of the language we encounter in our everyday lives comes in the form of conversation, yet the majority of research on the neural basis of language comprehension has used input from only one speaker at a time. Twenty adults were scanned while passively observing audiovisual conversations using functional magnetic resonance imaging. In a block-design task, participants watched 20 s videos of puppets speaking either to another puppet (the dialogue condition) or directly to the viewer (the monologue condition), while the audio was either comprehensible (played forward) or incomprehensible (played backward). Individually functionally localized left-hemisphere language regions responded more to comprehensible than incomprehensible speech but did not respond differently to dialogue than monologue. In a second task, participants watched videos (1-3 min each) of two puppets conversing with each other, in which one puppet was comprehensible while the other's speech was reversed. All participants saw the same visual input but were randomly assigned which character's speech was comprehensible. In left-hemisphere cortical language regions, the time course of activity was correlated only among participants who heard the same character speaking comprehensibly, despite identical visual input across all participants. For comparison, some individually localized theory of mind regions and right-hemisphere homologues of language regions responded more to dialogue than monologue in the first task, and in the second task, activity in some regions was correlated across all participants regardless of which character was speaking comprehensibly. Together, these results suggest that canonical left-hemisphere cortical language regions are not sensitive to differences between observed dialogue and monologue.
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Shain C, Paunov A, Chen X, Lipkin B, Fedorenko E. No evidence of theory of mind reasoning in the human language network. Cereb Cortex 2023; 33:6299-6319. [PMID: 36585774 PMCID: PMC10183748 DOI: 10.1093/cercor/bhac505] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 01/01/2023] Open
Abstract
Language comprehension and the ability to infer others' thoughts (theory of mind [ToM]) are interrelated during development and language use. However, neural evidence that bears on the relationship between language and ToM mechanisms is mixed. Although robust dissociations have been reported in brain disorders, brain activations for contrasts that target language and ToM bear similarities, and some have reported overlap. We take another look at the language-ToM relationship by evaluating the response of the language network, as measured with fMRI, to verbal and nonverbal ToM across 151 participants. Individual-participant analyses reveal that all core language regions respond more strongly when participants read vignettes about false beliefs compared to the control vignettes. However, we show that these differences are largely due to linguistic confounds, and no such effects appear in a nonverbal ToM task. These results argue against cognitive and neural overlap between language processing and ToM. In exploratory analyses, we find responses to social processing in the "periphery" of the language network-right-hemisphere homotopes of core language areas and areas in bilateral angular gyri-but these responses are not selectively ToM-related and may reflect general visual semantic processing.
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Affiliation(s)
- Cory Shain
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, MIT Bldg 46-316077 Massachusetts Avenue, Cambridge, MA 02139, United States
| | - Alexander Paunov
- INSERM-CEA Cognitive Neuroimaging Unit (UNICOG), NeuroSpin Center, Gif sur Yvette 91191, France
| | - Xuanyi Chen
- Department of Cognitive Sciences, Rice University, 6100 Main Street, Houston, TX 77005, United States
| | - Benjamin Lipkin
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, MIT Bldg 46-316077 Massachusetts Avenue, Cambridge, MA 02139, United States
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, MIT Bldg 46-316077 Massachusetts Avenue, Cambridge, MA 02139, United States
- Program in Speech Hearing in Bioscience and Technology, Harvard Medical School, 260 Longwood Avenue, TMEC 333, Boston, MA 02115, United States
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