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Görner M, Ramezanpour H, Dicke P, Thier P. Gaze and Arrows: Does the Gaze-Following Patch in the Posterior Temporal Cortex Differentiate Social and Symbolic Spatial Cues? eNeuro 2024; 11:ENEURO.0065-24.2024. [PMID: 38960708 PMCID: PMC11265261 DOI: 10.1523/eneuro.0065-24.2024] [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: 02/13/2024] [Revised: 06/01/2024] [Accepted: 06/17/2024] [Indexed: 07/05/2024] Open
Abstract
The gaze-following patch (GFP) is located in the posterior temporal cortex and has been described as a cortical module dedicated to processing other people's gaze-direction in a domain-specific manner. Thus, it appears to be the neural correlate of Baron-Cohen's eye direction detector (EDD) which is one of the core modules in his mindreading system-a neurocognitive model for the theory of mind concept. Inspired by Jerry Fodor's ideas on the modularity of the mind, Baron-Cohen proposed that, among other things, the individual modules are domain specific. In the case of the EDD, this means that it exclusively processes eye-like stimuli to extract gaze-direction and that other stimuli, which may carry directional information as well, are processed elsewhere. If the GFP is indeed EDD's neural correlate, it must meet this expectation. To test this, we compared the GFP's BOLD activity during gaze-direction following with the activity during arrow-direction following in the present human fMRI study. Contrary to the expectation based on the assumption of domain specificity, we did not find a differentiation between gaze- and arrow-direction following. In fact, we were not able to reproduce the GFP as presented in the previous studies. A possible explanation is that in the present study-unlike the previous work-the gaze stimuli did not contain an obvious change of direction that represented a visual motion. Hence, the critical stimulus component responsible for the identification of the GFP in the previous experiments might have been visual motion.
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Affiliation(s)
- Marius Görner
- Cognitive Neurology Laboratory, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
- GTC of Neuroscience, 72076 Tübingen, Germany
- IMPRS for Cognitive and Systems Neuroscience, 72076 Tübingen, Germany
| | | | - Peter Dicke
- Cognitive Neurology Laboratory, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
| | - Peter Thier
- Cognitive Neurology Laboratory, Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, 72076 Tübingen, Germany
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2
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Xia R, Chen X, Engel TA, Moore T. Common and distinct neural mechanisms of attention. Trends Cogn Sci 2024; 28:554-567. [PMID: 38388258 PMCID: PMC11153008 DOI: 10.1016/j.tics.2024.01.005] [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: 08/03/2022] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 02/24/2024]
Abstract
Despite a constant deluge of sensory stimulation, only a fraction of it is used to guide behavior. This selective processing is generally referred to as attention, and much research has focused on the neural mechanisms controlling it. Recently, research has broadened to include more ways by which different species selectively process sensory information, whether due to the sensory input itself or to different behavioral and brain states. This work has produced a complex and disjointed body of evidence across different species and forms of attention. However, it has also provided opportunities to better understand the breadth of attentional mechanisms. Here, we summarize the evidence that suggests that different forms of selective processing are supported by mechanisms both common and distinct.
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Affiliation(s)
- Ruobing Xia
- Department of Neurobiology and Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Xiaomo Chen
- Department of Neurobiology, Physiology, and Behavior, University of California, Davis, CA, USA
| | - Tatiana A Engel
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Tirin Moore
- Department of Neurobiology and Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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3
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Meng Z, Huang Y, Wang W, Zhou L, Zhou K. Orienting role of the putative human posterior infero-temporal area in visual attention. Cortex 2024; 175:54-65. [PMID: 38704919 DOI: 10.1016/j.cortex.2024.04.006] [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: 09/27/2023] [Revised: 02/27/2024] [Accepted: 04/17/2024] [Indexed: 05/07/2024]
Abstract
The dorsal attention network (DAN) is a network of brain regions essential for attentional orienting, which includes the lateral intraparietal area (LIP) and frontal eye field (FEF). Recently, the putative human dorsal posterior infero-temporal area (phPITd) has been identified as a new node of the DAN. However, its functional relationship with other areas of the DAN and its specific role in visual attention remained unclear. In this study, we analyzed a large publicly available neuroimaging dataset to investigate the intrinsic functional connectivities (FCs) of the phPITd with other brain areas. The results showed that the intrinsic FCs of the phPITd with the areas of the visual network and the DAN were significantly stronger than those with the ventral attention network (VAN) areas and areas of other networks. We further conducted individual difference analyses with a sample size of 295 participants and a series of attentional tasks to investigate which attentional components each phPITd-based DAN edge predicts. Our findings revealed that the intrinsic FC of the left phPITd with the LIPv could predict individual ability in attentional orienting, but not in alerting, executive control, and distractor suppression. Our results not only provide direct evidence of the phPITd's functional relationship with the LIPv, but also offer a comprehensive understanding of its specific role in visual attention.
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Affiliation(s)
- Zong Meng
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Yingjie Huang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Wenbo Wang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Liqin Zhou
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
| | - Ke Zhou
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
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4
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Li HH, Sprague TC, Yoo AH, Ma WJ, Curtis CE. Neural mechanisms of resource allocation in working memory. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.11.593695. [PMID: 38766258 PMCID: PMC11100829 DOI: 10.1101/2024.05.11.593695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
To mitigate capacity limits of working memory, people allocate resources according to an item's relevance. However, the neural mechanisms supporting such a critical operation remain unknown. Here, we developed computational neuroimaging methods to decode and demix neural responses associated with multiple items in working memory with different priorities. In striate and extrastriate cortex, the gain of neural responses tracked the priority of memoranda. Higher-priority memoranda were decoded with smaller error and lower uncertainty. Moreover, these neural differences predicted behavioral differences in memory prioritization. Remarkably, trialwise variability in the magnitude of delay activity in frontal cortex predicted differences in decoded precision between low and high-priority items in visual cortex. These results suggest a model in which feedback signals broadcast from frontal cortex sculpt the gain of memory representations in visual cortex according to behavioral relevance, thus, identifying a neural mechanism for resource allocation.
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Affiliation(s)
- Hsin-Hung Li
- Department of Psychology, New York University, New York, NY 10003, USA
- Department of Psychology, The Ohio State University, Columbus, OH 43201, USA
- These authors contributed equally
| | - Thomas C Sprague
- Department of Psychology, New York University, New York, NY 10003, USA
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- These authors contributed equally
| | - Aspen H Yoo
- Department of Psychology, New York University, New York, NY 10003, USA
| | - Wei Ji Ma
- Department of Psychology, New York University, New York, NY 10003, USA
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - Clayton E Curtis
- Department of Psychology, New York University, New York, NY 10003, USA
- Center for Neural Science, New York University, New York, NY 10003, USA
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5
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Boshra R, Kastner S. Attention control in the primate brain. Curr Opin Neurobiol 2022; 76:102605. [PMID: 35850060 DOI: 10.1016/j.conb.2022.102605] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/13/2022] [Accepted: 06/16/2022] [Indexed: 11/03/2022]
Abstract
Attention is fundamental to all cognition. In the primate brain, it is implemented by a large-scale network that consists of areas spanning across all major lobes, also including subcortical regions. Classical attention accounts assume that control over the selection process in this network is exerted by 'top-down' mechanisms in the fronto-parietal cortex that influence sensory representations via feedback signals. More recent studies have expanded this view of attentional control. In this review, we will start from a traditional top-down account of attention control, and then discuss more recent findings on feature-based attention, thalamic influences, temporal network dynamics, and behavioral dynamics that collectively lead to substantial modifications. We outline how the different emerging accounts can be reconciled and integrated into a unified theory.
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Affiliation(s)
- Rober Boshra
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA.
| | - Sabine Kastner
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA; Department of Psychology, Princeton University, Princeton, NJ, 08544, USA.
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6
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Ramezanpour H, Fallah M. The role of temporal cortex in the control of attention. CURRENT RESEARCH IN NEUROBIOLOGY 2022; 3:100038. [PMID: 36685758 PMCID: PMC9846471 DOI: 10.1016/j.crneur.2022.100038] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 02/05/2022] [Accepted: 04/01/2022] [Indexed: 01/25/2023] Open
Abstract
Attention is an indispensable component of active vision. Contrary to the widely accepted notion that temporal cortex processing primarily focusses on passive object recognition, a series of very recent studies emphasize the role of temporal cortex structures, specifically the superior temporal sulcus (STS) and inferotemporal (IT) cortex, in guiding attention and implementing cognitive programs relevant for behavioral tasks. The goal of this theoretical paper is to advance the hypothesis that the temporal cortex attention network (TAN) entails necessary components to actively participate in attentional control in a flexible task-dependent manner. First, we will briefly discuss the general architecture of the temporal cortex with a focus on the STS and IT cortex of monkeys and their modulation with attention. Then we will review evidence from behavioral and neurophysiological studies that support their guidance of attention in the presence of cognitive control signals. Next, we propose a mechanistic framework for executive control of attention in the temporal cortex. Finally, we summarize the role of temporal cortex in implementing cognitive programs and discuss how they contribute to the dynamic nature of visual attention to ensure flexible behavior.
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Affiliation(s)
- Hamidreza Ramezanpour
- Centre for Vision Research, York University, Toronto, Ontario, Canada,School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario, Canada,VISTA: Vision Science to Application, York University, Toronto, Ontario, Canada,Corresponding author. Centre for Vision Research, York University, Toronto, Ontario, Canada.
| | - Mazyar Fallah
- Centre for Vision Research, York University, Toronto, Ontario, Canada,School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, Ontario, Canada,VISTA: Vision Science to Application, York University, Toronto, Ontario, Canada,Department of Psychology, Faculty of Health, York University, Toronto, Ontario, Canada,Department of Human Health and Nutritional Sciences, College of Biological Science, University of Guelph, Guelph, Ontario, Canada,Corresponding author. Department of Human Health and Nutritional Sciences, College of Biological Science, University of Guelph, Guelph, Ontario, Canada.
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7
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Russ BE, Petkov CI, Kwok SC, Zhu Q, Belin P, Vanduffel W, Hamed SB. Common functional localizers to enhance NHP & cross-species neuroscience imaging research. Neuroimage 2021; 237:118203. [PMID: 34048898 PMCID: PMC8529529 DOI: 10.1016/j.neuroimage.2021.118203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 05/15/2021] [Accepted: 05/24/2021] [Indexed: 11/25/2022] Open
Abstract
Functional localizers are invaluable as they can help define regions of interest, provide cross-study comparisons, and most importantly, allow for the aggregation and meta-analyses of data across studies and laboratories. To achieve these goals within the non-human primate (NHP) imaging community, there is a pressing need for the use of standardized and validated localizers that can be readily implemented across different groups. The goal of this paper is to provide an overview of the value of localizer protocols to imaging research and we describe a number of commonly used or novel localizers within NHPs, and keys to implement them across studies. As has been shown with the aggregation of resting-state imaging data in the original PRIME-DE submissions, we believe that the field is ready to apply the same initiative for task-based functional localizers in NHP imaging. By coming together to collect large datasets across research group, implementing the same functional localizers, and sharing the localizers and data via PRIME-DE, it is now possible to fully test their robustness, selectivity and specificity. To do this, we reviewed a number of common localizers and we created a repository of well-established localizer that are easily accessible and implemented through the PRIME-RE platform.
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Affiliation(s)
- Brian E Russ
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, United States; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, United States; Department of Psychiatry, New York University at Langone, New York City, NY, United States.
| | - Christopher I Petkov
- Biosciences Institute, Newcastle University Medical School, Newcastle upon Tyne, United Kingdom
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics Ministry of Education, Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, China
| | - Qi Zhu
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France; Laboratory for Neuro-and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven, 3000, Belgium
| | - Pascal Belin
- Institut de Neurosciences de La Timone, Aix-Marseille Université et CNRS, Marseille, 13005, France
| | - Wim Vanduffel
- Laboratory for Neuro-and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven, 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven, 3000, Belgium; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States; Department of Radiology, Harvard Medical School, Boston, MA 02144, United States.
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Université de Lyon - CNRS, France.
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8
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Sani I, Stemmann H, Caron B, Bullock D, Stemmler T, Fahle M, Pestilli F, Freiwald WA. The human endogenous attentional control network includes a ventro-temporal cortical node. Nat Commun 2021; 12:360. [PMID: 33452252 PMCID: PMC7810878 DOI: 10.1038/s41467-020-20583-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 12/07/2020] [Indexed: 01/29/2023] Open
Abstract
Endogenous attention is the cognitive function that selects the relevant pieces of sensory information to achieve goals and it is known to be controlled by dorsal fronto-parietal brain areas. Here we expand this notion by identifying a control attention area located in the temporal lobe. By combining a demanding behavioral paradigm with functional neuroimaging and diffusion tractography, we show that like fronto-parietal attentional areas, the human posterior inferotemporal cortex exhibits significant attentional modulatory activity. This area is functionally distinct from surrounding cortical areas, and is directly connected to parietal and frontal attentional regions. These results show that attentional control spans three cortical lobes and overarches large distances through fiber pathways that run orthogonally to the dominant anterior-posterior axes of sensory processing, thus suggesting a different organizing principle for cognitive control.
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Affiliation(s)
- Ilaria Sani
- grid.134907.80000 0001 2166 1519Laboratory of Neural Systems, The Rockefeller University, 1230 York Avenue, New York, NY 10065 USA ,grid.8591.50000 0001 2322 4988Laboratory of Neurology & Imaging of Cognition, University of Geneva, Chemin de mines 9, 1202 Geneva, CH Switzerland
| | - Heiko Stemmann
- grid.7704.40000 0001 2297 4381Institute for Brain Research and Center for Advanced Imaging, University of Bremen, 28334 Bremen, Germany
| | - Bradley Caron
- grid.411377.70000 0001 0790 959XDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN USA
| | - Daniel Bullock
- grid.411377.70000 0001 0790 959XDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN USA
| | - Torsten Stemmler
- grid.7704.40000 0001 2297 4381Institute for Brain Research and Center for Advanced Imaging, University of Bremen, 28334 Bremen, Germany
| | - Manfred Fahle
- grid.7704.40000 0001 2297 4381Institute for Brain Research and Center for Advanced Imaging, University of Bremen, 28334 Bremen, Germany
| | - Franco Pestilli
- grid.411377.70000 0001 0790 959XDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN USA ,grid.89336.370000 0004 1936 9924Department of Psychology, The University of Texas at Austin, Austin, TX 78712 USA
| | - Winrich A. Freiwald
- grid.134907.80000 0001 2166 1519Laboratory of Neural Systems, The Rockefeller University, 1230 York Avenue, New York, NY 10065 USA ,Center for Brains, Minds & Machines, Cambridge, MA USA
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9
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Freiwald WA. Social interaction networks in the primate brain. Curr Opin Neurobiol 2020; 65:49-58. [PMID: 33065333 DOI: 10.1016/j.conb.2020.08.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/27/2020] [Accepted: 08/31/2020] [Indexed: 12/23/2022]
Abstract
Primate brains have evolved to understand and engage with their social world. Much about the structure of this world can be gleaned from social interactions. Circuits for the analysis of and participation in social interactions have now been mapped. Increased knowledge about their functional specializations and relative spatial locations promises to greatly improve the understanding of the functional organization of the primate social brain. Detailed electrophysiology, as in the case of the face-processing network, of local operations and functional interactions between areas is necessary to uncover neural mechanisms and computation principles of social cognition. New naturalistic behavioral paradigms, behavioral tracking, and new analytical approaches for parallel non-stationary data will be important components toward a neuroscientific theory of primates' interactive minds.
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Affiliation(s)
- Winrich A Freiwald
- The Rockefeller University, New York, United States; Center for Brains, Minds, and Machines, United States.
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10
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Frontal, Parietal, and Temporal Brain Areas Are Differentially Activated When Disambiguating Potential Objects of Joint Attention. eNeuro 2020; 7:ENEURO.0437-19.2020. [PMID: 32907832 PMCID: PMC7581189 DOI: 10.1523/eneuro.0437-19.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 07/07/2020] [Accepted: 08/04/2020] [Indexed: 11/21/2022] Open
Abstract
Humans establish joint attention with others by following the other's gaze. Previous work has suggested that a cortical patch (gaze-following patch, GFP) close to the posterior superior temporal sulcus (pSTS) may serve as a link between the extraction of the other's gaze direction and the resulting shifts of attention, mediated by human lateral intraparietal area (hLIP). However, it is not clear how the brain copes with situations in which information on gaze direction alone is insufficient to identify the target object because more than one may lie along the gaze vector. In this fMRI study, we tested human subjects on a paradigm that allowed the identification of a target object based on the integration of the other's gaze direction and information provided by an auditory cue on the relevant object category. Whereas the GFP activity turned out to be fully determined by the use of gaze direction, activity in hLIP reflected the total information needed to pinpoint the target. Moreover, in an exploratory analysis, we found that a region in the inferior frontal junction (IFJ) was sensitive to the total information on the target. An examination of the BOLD time courses in the three identified areas suggests functionally complementary roles. Although the GFP seems to primarily process directional information stemming from the other's gaze, the IFJ may help to analyze the scene when gaze direction and auditory information are not sufficient to pinpoint the target. Finally, hLIP integrates both streams of information to shift attention to distinct spatial locations.
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11
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Abstract
A fundamental dogma in the cognitive neurosciences is that attention is controlled by parietal and prefrontal areas. Here, we show that an area in the temporal lobe exhibits the properties of a priority map coding the focus of attention. We show this through whole-brain functional magnetic resonance imaging, electrophysiological single-unit recordings, and causal electrical stimulation. This discovery changes our understanding of the organization of visual pathways and the functions of attention networks. From incoming sensory information, our brains make selections according to current behavioral goals. This process, selective attention, is controlled by parietal and frontal areas. Here, we show that another brain area, posterior inferotemporal cortex (PITd), also exhibits the defining properties of attentional control. We discovered this area with functional magnetic resonance imaging (fMRI) during an attentive motion discrimination task. Single-cell recordings from PITd revealed strong attentional modulation across 3 attention tasks yet no tuning to task-relevant stimulus features, like motion direction or color. Instead, PITd neurons closely tracked the subject’s attention state and predicted upcoming errors of attentional selection. Furthermore, artificial electrical PITd stimulation controlled the location of attentional selection without altering feature discrimination. These are the defining properties of a feature-blind priority map encoding the locus of attention. Together, these results suggest area PITd, located strategically to gather information about object properties, as an attentional priority map.
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12
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Bogadhi AR, Bollimunta A, Leopold DA, Krauzlis RJ. Spatial Attention Deficits Are Causally Linked to an Area in Macaque Temporal Cortex. Curr Biol 2019; 29:726-736.e4. [PMID: 30773369 DOI: 10.1016/j.cub.2019.01.028] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 12/23/2018] [Accepted: 01/11/2019] [Indexed: 11/28/2022]
Abstract
Spatial neglect is a common clinical syndrome involving disruption of the brain's attention-related circuitry, including the dorsocaudal temporal cortex. In macaques, the attention deficits associated with neglect can be readily modeled, but the absence of evidence for temporal cortex involvement has suggested a fundamental difference from humans. To map the neurological expression of neglect-like attention deficits in macaques, we measured attention-related fMRI activity across the cerebral cortex during experimental induction of neglect through reversible inactivation of the superior colliculus and frontal eye fields. During inactivation, monkeys exhibited hallmark attentional deficits of neglect in tasks using either motion or non-motion stimuli. The behavioral deficits were accompanied by marked reductions in fMRI attentional modulation that were strongest in a small region on the floor of the superior temporal sulcus; smaller reductions were also found in frontal eye fields and dorsal parietal cortex. Notably, direct inactivation of the mid-superior temporal sulcus (STS) cortical region identified by fMRI caused similar neglect-like spatial attention deficits. These results identify a putative macaque homolog to temporal cortex structures known to play a central role in human neglect.
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Affiliation(s)
- Amarender R Bogadhi
- Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20892, USA.
| | - Anil Bollimunta
- Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20892, USA
| | - David A Leopold
- Laboratory of Neuropsychology, National Institute of Mental Health, NIH, Bethesda, MD 20892, USA; Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, NIH, Bethesda, MD 20892, USA
| | - Richard J Krauzlis
- Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20892, USA.
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13
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Sani I, McPherson BC, Stemmann H, Pestilli F, Freiwald WA. Functionally defined white matter of the macaque monkey brain reveals a dorso-ventral attention network. eLife 2019; 8:e40520. [PMID: 30601116 PMCID: PMC6345568 DOI: 10.7554/elife.40520] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 12/20/2018] [Indexed: 12/18/2022] Open
Abstract
Classical studies of attention have identified areas of parietal and frontal cortex as sources of attentional control. Recently, a ventral region in the macaque temporal cortex, the posterior infero-temporal dorsal area PITd, has been suggested as a third attentional control area. This raises the question of whether and how spatially distant areas coordinate a joint focus of attention. Here we tested the hypothesis that parieto-frontal attention areas and PITd are directly interconnected. By combining functional MRI with ex-vivo high-resolution diffusion MRI, we found that PITd and dorsal attention areas are all directly connected through three specific fascicles. These results ascribe a new function, the communication of attention signals, to two known fiber-bundles, highlight the importance of vertical interactions across the two visual streams, and imply that the control of endogenous attention, hitherto thought to reside in macaque dorsal cortical areas, is exerted by a dorso-ventral network.
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Affiliation(s)
- Ilaria Sani
- Laboratory of Neural SystemsThe Rockefeller UniversityNew YorkUnited States
| | - Brent C McPherson
- Department of Psychological and Brain SciencesIndiana UniversityBloomingtonUnited States
| | - Heiko Stemmann
- Institute for Brain Research and Center for Advanced ImagingUniversity of BremenBremenGermany
| | - Franco Pestilli
- Department of Psychological and Brain SciencesIndiana UniversityBloomingtonUnited States
| | - Winrich A Freiwald
- Laboratory of Neural SystemsThe Rockefeller UniversityNew YorkUnited States
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14
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Bogadhi AR, Bollimunta A, Leopold DA, Krauzlis RJ. Brain regions modulated during covert visual attention in the macaque. Sci Rep 2018; 8:15237. [PMID: 30323289 PMCID: PMC6189039 DOI: 10.1038/s41598-018-33567-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/18/2018] [Indexed: 11/09/2022] Open
Abstract
Neurophysiological studies of covert visual attention in monkeys have emphasized the modulation of sensory neural responses in the visual cortex. At the same time, electrophysiological correlates of attention have been reported in other cortical and subcortical structures, and recent fMRI studies have identified regions across the brain modulated by attention. Here we used fMRI in two monkeys performing covert attention tasks to reproduce and extend these findings in order to help establish a more complete list of brain structures involved in the control of attention. As expected from previous studies, we found attention-related modulation in frontal, parietal and visual cortical areas as well as the superior colliculus and pulvinar. We also found significant attention-related modulation in cortical regions not traditionally linked to attention - mid-STS areas (anterior FST and parts of IPa, PGa, TPO), as well as the caudate nucleus. A control experiment using a second-order orientation stimulus showed that the observed modulation in a subset of these mid-STS areas did not depend on visual motion. These results identify the mid-STS areas (anterior FST and parts of IPa, PGa, TPO) and caudate nucleus as potentially important brain regions in the control of covert visual attention in monkeys.
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Affiliation(s)
- Amarender R Bogadhi
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, USA.
| | - Anil Bollimunta
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, USA
| | - David A Leopold
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, USA.,Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, USA
| | - Richard J Krauzlis
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, USA.
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15
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Shepherd SV, Freiwald WA. Functional Networks for Social Communication in the Macaque Monkey. Neuron 2018; 99:413-420.e3. [PMID: 30017395 DOI: 10.1016/j.neuron.2018.06.027] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/09/2018] [Accepted: 06/15/2018] [Indexed: 11/26/2022]
Abstract
All primates communicate. To dissect the neural circuits of social communication, we used fMRI to map non-human primate brain regions for social perception, second-person (interactive) social cognition, and orofacial movement generation. Face perception, second-person cognition, and face motor networks were largely non-overlapping and acted as distinct functional units rather than an integrated feedforward-processing pipeline. Whereas second-person context selectively engaged a region of medial prefrontal cortex, production of orofacial movements recruited distributed subcortical and cortical areas in medial and lateral frontal and insular cortex. These areas exhibited some specialization, but not dissociation, of function along the medio-lateral axis. Production of lipsmack movements recruited areas including putative homologs of Broca's area. These findings provide a new view of the neural architecture for social communication and suggest expressive orofacial movements generated by lateral premotor cortex as a putative evolutionary precursor to human speech.
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Affiliation(s)
- Stephen V Shepherd
- The Laboratory of Neural Systems, The Rockefeller University, New York, NY 10065, USA.
| | - Winrich A Freiwald
- The Laboratory of Neural Systems, The Rockefeller University, New York, NY 10065, USA.
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