1
|
Wong RK, Selvanayagam J, Johnston K, Everling S. Functional specialization and distributed processing across marmoset lateral prefrontal subregions. Cereb Cortex 2024; 34:bhae407. [PMID: 39390711 PMCID: PMC11466848 DOI: 10.1093/cercor/bhae407] [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: 04/01/2024] [Revised: 09/17/2024] [Indexed: 10/12/2024] Open
Abstract
A prominent aspect of primate lateral prefrontal cortex organization is its division into several cytoarchitecturally distinct subregions. Neurophysiological investigations in macaques have provided evidence for the functional specialization of these subregions, but an understanding of the relative representational topography of sensory, social, and cognitive processes within them remains elusive. One explanatory factor is that evidence for functional specialization has been compiled largely from a patchwork of findings across studies, in many animals, and with considerable variation in stimulus sets and tasks. Here, we addressed this by leveraging the common marmoset (Callithrix jacchus) to carry out large-scale neurophysiological mapping of the lateral prefrontal cortex using high-density microelectrode arrays, and a diverse suite of test stimuli including faces, marmoset calls, and spatial working memory task. Task-modulated units and units responsive to visual and auditory stimuli were distributed throughout the lateral prefrontal cortex, while those with saccade-related activity or face-selective responses were restricted to 8aV, 8aD, 10, 46 V, and 47. Neurons with contralateral visual receptive fields were limited to areas 8aV and 8aD. These data reveal a mixed pattern of functional specialization in the lateral prefrontal cortex, in which responses to some stimuli and tasks are distributed broadly across lateral prefrontal cortex subregions, while others are more limited in their representation.
Collapse
Affiliation(s)
- Raymond Ka Wong
- Graduate Program in Neuroscience, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
| | - Janahan Selvanayagam
- Graduate Program in Neuroscience, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
| | - Kevin Johnston
- Graduate Program in Neuroscience, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Department of Physiology and Pharmacology, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
| | - Stefan Everling
- Graduate Program in Neuroscience, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
- Department of Physiology and Pharmacology, University of Western Ontario, 1151 Richmond St, London, ON N6A 3K7, Canada
| |
Collapse
|
2
|
Rose O, Ponce CR. A concentration of visual cortex-like neurons in prefrontal cortex. Nat Commun 2024; 15:7002. [PMID: 39143147 PMCID: PMC11324908 DOI: 10.1038/s41467-024-51441-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 08/07/2024] [Indexed: 08/16/2024] Open
Abstract
Visual recognition is largely realized through neurons in the ventral stream, though recently, studies have suggested that ventrolateral prefrontal cortex (vlPFC) is also important for visual processing. While it is hypothesized that sensory and cognitive processes are integrated in vlPFC neurons, it is not clear how this mechanism benefits vision, or even if vlPFC neurons have properties essential for computations in visual cortex implemented via recurrence. Here, we investigated if vlPFC neurons in two male monkeys had functions comparable to visual cortex, including receptive fields, image selectivity, and the capacity to synthesize highly activating stimuli using generative networks. We found a subset of vlPFC sites show all properties, suggesting subpopulations of vlPFC neurons encode statistics about the world. Further, these vlPFC sites may be anatomically clustered, consistent with fMRI-identified functional organization. Our findings suggest that stable visual encoding in vlPFC may be a necessary condition for local and brain-wide computations.
Collapse
Affiliation(s)
- Olivia Rose
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Roy and Diana Vagelos Division of Biology & Biomedical Sciences, Washington University, St. Louis, MO, USA
| | - Carlos R Ponce
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
3
|
Zhou T, Kawasaki K, Suzuki T, Hasegawa I, Roe AW, Tanigawa H. Mapping information flow between the inferotemporal and prefrontal cortices via neural oscillations in memory retrieval and maintenance. Cell Rep 2023; 42:113169. [PMID: 37740917 DOI: 10.1016/j.celrep.2023.113169] [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: 03/08/2023] [Revised: 08/15/2023] [Accepted: 09/07/2023] [Indexed: 09/25/2023] Open
Abstract
Interaction between the inferotemporal (ITC) and prefrontal (PFC) cortices is critical for retrieving information from memory and maintaining it in working memory. Neural oscillations provide a mechanism for communication between brain regions. However, it remains unknown how information flow via neural oscillations is functionally organized in these cortices during these processes. In this study, we apply Granger causality analysis to electrocorticographic signals from both cortices of monkeys performing visual association tasks to map information flow. Our results reveal regions within the ITC where information flow to and from the PFC increases via specific frequency oscillations to form clusters during memory retrieval and maintenance. Theta-band information flow in both directions increases in similar regions in both cortices, suggesting reciprocal information exchange in those regions. These findings suggest that specific subregions function as nodes in the memory information-processing network between the ITC and the PFC.
Collapse
Affiliation(s)
- Tao Zhou
- Department of Neurosurgery of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
| | - Keisuke Kawasaki
- Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan
| | - Takafumi Suzuki
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Osaka 565-0871, Japan; Osaka University, Suita, Osaka 565-0871, Japan
| | - Isao Hasegawa
- Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan
| | - Anna Wang Roe
- Department of Neurosurgery of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
| | - Hisashi Tanigawa
- Department of Neurosurgery of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan.
| |
Collapse
|
4
|
Conway BR, Malik-Moraleda S, Gibson E. Color appearance and the end of Hering's Opponent-Colors Theory. Trends Cogn Sci 2023; 27:791-804. [PMID: 37394292 PMCID: PMC10527909 DOI: 10.1016/j.tics.2023.06.003] [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: 06/14/2022] [Revised: 06/02/2023] [Accepted: 06/08/2023] [Indexed: 07/04/2023]
Abstract
Hering's Opponent-Colors Theory has been central to understanding color appearance for 150 years. It aims to explain the phenomenology of colors with two linked propositions. First, a psychological hypothesis stipulates that any color is described necessarily and sufficiently by the extent to which it appears reddish-versus-greenish, bluish-versus-yellowish, and blackish-versus-whitish. Second, a physiological hypothesis stipulates that these perceptual mechanisms are encoded by three innate brain mechanisms. We review the evidence and conclude that neither side of the linking proposition is accurate: the theory is wrong. We sketch out an alternative, Utility-Based Coding, by which the known retinal cone-opponent mechanisms represent optimal encoding of spectral information given competing selective pressure to extract high-acuity spatial information; and phenomenological color categories represent an adaptive, efficient, output of the brain governed by behavioral demands.
Collapse
Affiliation(s)
- Bevil R Conway
- Laboratory of Sensorimotor Research, National Eye Institute and National Institute of Mental Health, Bethesda, MD 20892, USA.
| | - Saima Malik-Moraleda
- Department of Brain and Cognitive Sciences, M.I.T., Cambridge, MA 02139, USA; Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02114, USA
| | - Edward Gibson
- Department of Brain and Cognitive Sciences, M.I.T., Cambridge, MA 02139, USA
| |
Collapse
|
5
|
He BJ. Towards a pluralistic neurobiological understanding of consciousness. Trends Cogn Sci 2023; 27:420-432. [PMID: 36842851 PMCID: PMC10101889 DOI: 10.1016/j.tics.2023.02.001] [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: 09/08/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/27/2023]
Abstract
Theories of consciousness are often based on the assumption that a single, unified neurobiological account will explain different types of conscious awareness. However, recent findings show that, even within a single modality such as conscious visual perception, the anatomical location, timing, and information flow of neural activity related to conscious awareness vary depending on both external and internal factors. This suggests that the search for generic neural correlates of consciousness may not be fruitful. I argue that consciousness science requires a more pluralistic approach and propose a new framework: joint determinant theory (JDT). This theory may be capable of accommodating different brain circuit mechanisms for conscious contents as varied as percepts, wills, memories, emotions, and thoughts, as well as their integrated experience.
Collapse
Affiliation(s)
- Biyu J He
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Departments of Neurology, Neuroscience and Physiology, Radiology, New York University Grossman School of Medicine, New York, NY 10016.
| |
Collapse
|
6
|
Marciniak Dg Agra K, Dg Agra P. F = ma. Is the macaque brain Newtonian? Cogn Neuropsychol 2023; 39:376-408. [PMID: 37045793 DOI: 10.1080/02643294.2023.2191843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Intuitive Physics, the ability to anticipate how the physical events involving mass objects unfold in time and space, is a central component of intelligent systems. Intuitive physics is a promising tool for gaining insight into mechanisms that generalize across species because both humans and non-human primates are subject to the same physical constraints when engaging with the environment. Physical reasoning abilities are widely present within the animal kingdom, but monkeys, with acute 3D vision and a high level of dexterity, appreciate and manipulate the physical world in much the same way humans do.
Collapse
Affiliation(s)
- Karolina Marciniak Dg Agra
- The Rockefeller University, Laboratory of Neural Circuits, New York, NY, USA
- Center for Brain, Minds and Machines, Cambridge, MA, USA
| | - Pedro Dg Agra
- The Rockefeller University, Laboratory of Neural Circuits, New York, NY, USA
- Center for Brain, Minds and Machines, Cambridge, MA, USA
| |
Collapse
|
7
|
Pennock IML, Racey C, Allen EJ, Wu Y, Naselaris T, Kay KN, Franklin A, Bosten JM. Color-biased regions in the ventral visual pathway are food selective. Curr Biol 2023; 33:134-146.e4. [PMID: 36574774 PMCID: PMC9976629 DOI: 10.1016/j.cub.2022.11.063] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/15/2022] [Accepted: 11/28/2022] [Indexed: 12/27/2022]
Abstract
Color-biased regions have been found between face- and place-selective areas in the ventral visual pathway. To investigate the function of the color-biased regions in a pathway responsible for object recognition, we analyzed the natural scenes dataset (NSD), a large 7T fMRI dataset from 8 participants who each viewed up to 30,000 trials of images of colored natural scenes over more than 30 scanning sessions. In a whole-brain analysis, we correlated the average color saturation of the images with voxel responses, revealing color-biased regions that diverge into two streams, beginning in V4 and extending medially and laterally relative to the fusiform face area in both hemispheres. We drew regions of interest (ROIs) for the two streams and found that the images for each ROI that evoked the largest responses had certain characteristics: they contained food, circular objects, warmer hues, and had higher color saturation. Further analyses showed that food images were the strongest predictor of activity in these regions, implying the existence of medial and lateral ventral food streams (VFSs). We found that color also contributed independently to voxel responses, suggesting that the medial and lateral VFSs use both color and form to represent food. Our findings illustrate how high-resolution datasets such as the NSD can be used to disentangle the multifaceted contributions of many visual features to the neural representations of natural scenes.
Collapse
Affiliation(s)
- Ian M L Pennock
- School of Psychology, University of Sussex, Falmer BN1 9QH, UK.
| | - Chris Racey
- School of Psychology, University of Sussex, Falmer BN1 9QH, UK
| | - Emily J Allen
- Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA; Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Yihan Wu
- Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Thomas Naselaris
- Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Kendrick N Kay
- Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Anna Franklin
- School of Psychology, University of Sussex, Falmer BN1 9QH, UK
| | - Jenny M Bosten
- School of Psychology, University of Sussex, Falmer BN1 9QH, UK.
| |
Collapse
|
8
|
Huang J, Zhang Y, Zhang Q, Wei L, Zhang X, Jin C, Yang J, Li Z, Liang S. The current status and trend of the functional magnetic resonance combined with stimulation in animals. Front Neurosci 2022; 16:963175. [PMID: 36213733 PMCID: PMC9540855 DOI: 10.3389/fnins.2022.963175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022] Open
Abstract
As a non-radiative, non-invasive imaging technique, functional magnetic resonance imaging (fMRI) has excellent effects on studying the activation of blood oxygen levels and functional connectivity of the brain in human and animal models. Compared with resting-state fMRI, fMRI combined with stimulation could be used to assess the activation of specific brain regions and the connectivity of specific pathways and achieve better signal capture with a clear purpose and more significant results. Various fMRI methods and specific stimulation paradigms have been proposed to investigate brain activation in a specific state, such as electrical, mechanical, visual, olfactory, and direct brain stimulation. In this review, the studies on animal brain activation using fMRI combined with different stimulation methods were retrieved. The instruments, experimental parameters, anesthesia, and animal models in different stimulation conditions were summarized. The findings would provide a reference for studies on estimating specific brain activation using fMRI combined with stimulation.
Collapse
|
9
|
Tanigawa H, Majima K, Takei R, Kawasaki K, Sawahata H, Nakahara K, Iijima A, Suzuki T, Kamitani Y, Hasegawa I. Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. Cell Rep 2022; 39:110676. [PMID: 35417680 DOI: 10.1016/j.celrep.2022.110676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 02/08/2022] [Accepted: 03/22/2022] [Indexed: 11/19/2022] Open
Abstract
Sensory perception and memory recall generate different conscious experiences. Although externally and internally driven neural activities signifying the same perceptual content overlap in the sensory cortex, their distribution in the prefrontal cortex (PFC), an area implicated in both perception and memory, remains elusive. Here, we test whether the local spatial configurations and frequencies of neural oscillations driven by perception and memory recall overlap in the macaque PFC using high-density electrocorticography and multivariate pattern analysis. We find that dynamically changing oscillatory signals distributed across the PFC in the delta-, theta-, alpha-, and beta-band ranges carry significant, but mutually different, information predicting the same feature of memory-recalled internal targets and passively perceived external objects. These findings suggest that the frequency-specific distribution of oscillatory neural signals in the PFC serves cortical signatures responsible for distinguishing between different types of cognition driven by external perception and internal memory.
Collapse
Affiliation(s)
- Hisashi Tanigawa
- Department of Neurosurgery of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310016, China; Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan; Center for Transdisciplinary Research, Niigata University, Niigata, Niigata 951-8501, Japan
| | - Kei Majima
- Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan; ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto 619-0288, Japan
| | - Ren Takei
- Department of Bio-cybernetics, Faculty of Engineering, Niigata University, Niigata, Niigata 950-2181, Japan
| | - Keisuke Kawasaki
- Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan
| | - Hirohito Sawahata
- Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan; Department of Industrial Engineering, Mechanical and Control Engineering Course, National Institute of Technology (KOSEN), Ibaraki College, Hitachinaka, Ibaraki 312-8508, Japan
| | - Kiyoshi Nakahara
- Center for Transdisciplinary Research, Niigata University, Niigata, Niigata 951-8501, Japan; Research Center for Brain Communication, Kochi University of Technology, Kami, Kochi 782-8502, Japan
| | - Atsuhiko Iijima
- Department of Bio-cybernetics, Faculty of Engineering, Niigata University, Niigata, Niigata 950-2181, Japan
| | - Takafumi Suzuki
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Osaka 565-0871, Japan; Osaka University, Suita, Osaka 565-0871, Japan
| | - Yukiyasu Kamitani
- Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan; ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto 619-0288, Japan
| | - Isao Hasegawa
- Department of Physiology, Niigata University School of Medicine, Niigata, Niigata 951-8501, Japan; Center for Transdisciplinary Research, Niigata University, Niigata, Niigata 951-8501, Japan.
| |
Collapse
|
10
|
Xu R, Bichot NP, Takahashi A, Desimone R. The cortical connectome of primate lateral prefrontal cortex. Neuron 2022; 110:312-327.e7. [PMID: 34739817 PMCID: PMC8776613 DOI: 10.1016/j.neuron.2021.10.018] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/09/2021] [Accepted: 10/11/2021] [Indexed: 01/21/2023]
Abstract
The lateral prefrontal cortex (LPFC) of primates plays an important role in executive control, but how it interacts with the rest of the cortex remains unclear. To address this, we densely mapped the cortical connectome of LPFC, using electrical microstimulation combined with functional MRI (EM-fMRI). We found isomorphic mappings between LPFC and five major processing domains composing most of the cerebral cortex except early sensory and motor areas. An LPFC grid of ∼200 stimulation sites topographically mapped to separate grids of activation sites in the five domains, coarsely resembling how the visual cortex maps the retina. The temporal and parietal maps largely overlapped in LPFC, suggesting topographically organized convergence of the ventral and dorsal streams, and the other maps overlapped at least partially. Thus, the LPFC contains overlapping, millimeter-scale maps that mirror the organization of major cortical processing domains, supporting LPFC's role in coordinating activity within and across these domains.
Collapse
Affiliation(s)
- Rui Xu
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Narcisse P Bichot
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Atsushi Takahashi
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert Desimone
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| |
Collapse
|
11
|
Murray EA, Fellows LK. Prefrontal cortex interactions with the amygdala in primates. Neuropsychopharmacology 2022; 47:163-179. [PMID: 34446829 PMCID: PMC8616954 DOI: 10.1038/s41386-021-01128-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 02/07/2023]
Abstract
This review addresses functional interactions between the primate prefrontal cortex (PFC) and the amygdala, with emphasis on their contributions to behavior and cognition. The interplay between these two telencephalic structures contributes to adaptive behavior and to the evolutionary success of all primate species. In our species, dysfunction in this circuitry creates vulnerabilities to psychopathologies. Here, we describe amygdala-PFC contributions to behaviors that have direct relevance to Darwinian fitness: learned approach and avoidance, foraging, predator defense, and social signaling, which have in common the need for flexibility and sensitivity to specific and rapidly changing contexts. Examples include the prediction of positive outcomes, such as food availability, food desirability, and various social rewards, or of negative outcomes, such as threats of harm from predators or conspecifics. To promote fitness optimally, these stimulus-outcome associations need to be rapidly updated when an associative contingency changes or when the value of a predicted outcome changes. We review evidence from nonhuman primates implicating the PFC, the amygdala, and their functional interactions in these processes, with links to experimental work and clinical findings in humans where possible.
Collapse
Affiliation(s)
| | - Lesley K Fellows
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| |
Collapse
|
12
|
Li X, Zhu Q, Vanduffel W. Submillimeter fMRI reveals an extensive, fine-grained and functionally-relevant scene-processing network in monkeys. Prog Neurobiol 2022; 211:102230. [DOI: 10.1016/j.pneurobio.2022.102230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/20/2021] [Accepted: 01/26/2022] [Indexed: 11/27/2022]
|
13
|
Eldridge MAG, Hines BE, Murray EA. The visual prefrontal cortex of anthropoids: interaction with temporal cortex in decision making and its role in the making of "visual animals". Curr Opin Behav Sci 2021; 41:22-29. [PMID: 33796638 PMCID: PMC8009333 DOI: 10.1016/j.cobeha.2021.02.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The ventral prefrontal cortex (PFC) of primates-a region strongly implicated in decision making-receives highly processed visual sensory inputs from the inferior temporal cortex (ITC) and perirhinal cortex (PRC) and can therefore be considered visual PFC. Usually, the functions of temporal cortex and visual PFC have been discussed in separate literatures. By considering them together, we aim to clarify the ways in which fronto-temporal networks guide decision making. After discussing the ways in which visual PFC interacts with temporal cortex to promote decision making, we offer specific predictions about the selective roles of the ITC- and PRC-based fronto-temporal networks. Finally, we suggest that an increased reliance on visual PFC in anthropoid primates led to our emergence as 'visual' animals.
Collapse
Affiliation(s)
- Mark A G Eldridge
- Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892
| | - Brendan E Hines
- Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892
| | - Elisabeth A Murray
- Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892
| |
Collapse
|
14
|
Arcaro MJ, Livingstone MS. On the relationship between maps and domains in inferotemporal cortex. Nat Rev Neurosci 2021; 22:573-583. [PMID: 34345018 PMCID: PMC8865285 DOI: 10.1038/s41583-021-00490-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2021] [Indexed: 02/07/2023]
Abstract
How does the brain encode information about the environment? Decades of research have led to the pervasive notion that the object-processing pathway in primate cortex consists of multiple areas that are each specialized to process different object categories (such as faces, bodies, hands, non-face objects and scenes). The anatomical consistency and modularity of these regions have been interpreted as evidence that these regions are innately specialized. Here, we propose that ventral-stream modules do not represent clusters of circuits that each evolved to process some specific object category particularly important for survival, but instead reflect the effects of experience on a domain-general architecture that evolved to be able to adapt, within a lifetime, to its particular environment. Furthermore, we propose that the mechanisms underlying the development of domains are both evolutionarily old and universal across cortex. Topographic maps are fundamental, governing the development of specializations across systems, providing a framework for brain organization.
Collapse
|
15
|
Rosenthal IA, Singh SR, Hermann KL, Pantazis D, Conway BR. Color Space Geometry Uncovered with Magnetoencephalography. Curr Biol 2021; 31:515-526.e5. [PMID: 33202253 PMCID: PMC7878424 DOI: 10.1016/j.cub.2020.10.062] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/21/2020] [Accepted: 10/21/2020] [Indexed: 02/07/2023]
Abstract
The geometry that describes the relationship among colors, and the neural mechanisms that support color vision, are unsettled. Here, we use multivariate analyses of measurements of brain activity obtained with magnetoencephalography to reverse-engineer a geometry of the neural representation of color space. The analyses depend upon determining similarity relationships among the spatial patterns of neural responses to different colors and assessing how these relationships change in time. We evaluate the approach by relating the results to universal patterns in color naming. Two prominent patterns of color naming could be accounted for by the decoding results: the greater precision in naming warm colors compared to cool colors evident by an interaction of hue and lightness, and the preeminence among colors of reddish hues. Additional experiments showed that classifiers trained on responses to color words could decode color from data obtained using colored stimuli, but only at relatively long delays after stimulus onset. These results provide evidence that perceptual representations can give rise to semantic representations, but not the reverse. Taken together, the results uncover a dynamic geometry that provides neural correlates for color appearance and generates new hypotheses about the structure of color space.
Collapse
Affiliation(s)
- Isabelle A Rosenthal
- Laboratory of Sensorimotor Research, National Eye Institute, Building 49, NIH Main Campus, Bethesda, MD 20892, USA
| | - Shridhar R Singh
- Laboratory of Sensorimotor Research, National Eye Institute, Building 49, NIH Main Campus, Bethesda, MD 20892, USA
| | - Katherine L Hermann
- Laboratory of Sensorimotor Research, National Eye Institute, Building 49, NIH Main Campus, Bethesda, MD 20892, USA
| | - Dimitrios Pantazis
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, 524 Main Street, Cambridge, MA 02139, USA
| | - Bevil R Conway
- Laboratory of Sensorimotor Research, National Eye Institute, Building 49, NIH Main Campus, Bethesda, MD 20892, USA; National Institute of Mental Health, Bethesda, MD 20892, USA.
| |
Collapse
|
16
|
Siuda-Krzywicka K, Witzel C, Bartolomeo P, Cohen L. Color Naming and Categorization Depend on Distinct Functional Brain Networks. Cereb Cortex 2021; 31:1106-1115. [PMID: 32995838 DOI: 10.1093/cercor/bhaa278] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/31/2020] [Accepted: 08/29/2020] [Indexed: 01/31/2023] Open
Abstract
Naming a color can be understood as an act of categorization, that is, identifying it as a member of a category of colors that are referred to by the same name. But are naming and categorization equivalent cognitive processes and consequently rely on same neural substrates? Here, we used task and resting-state functional magnetic resonance imaging as well as behavioral measures to identify functional brain networks that modulated naming and categorization of colors. We first identified three bilateral color-sensitive regions in the ventro-occipital cortex. We then showed that, across participants, color naming and categorization response times (RTs) were correlated with different resting state connectivity networks seeded from the color-sensitive regions. Color naming RTs correlated with the connectivity between the left posterior color region, the left middle temporal gyrus, and the left angular gyrus. In contrast, color categorization RTs correlated with the connectivity between the bilateral posterior color regions, and left frontal, right temporal and bilateral parietal areas. The networks supporting naming and categorization had a minimal overlap, indicating that the 2 processes rely on different neural mechanisms.
Collapse
Affiliation(s)
- Katarzyna Siuda-Krzywicka
- Inserm U 1127, CNRS UMR 7225, Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Sorbonne Université, Paris 75013, France
| | - Christoph Witzel
- School of Psychology, University of Southampton, Southampton SO17 1BJ, UK
| | - Paolo Bartolomeo
- Inserm U 1127, CNRS UMR 7225, Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Sorbonne Université, Paris 75013, France
| | - Laurent Cohen
- Inserm U 1127, CNRS UMR 7225, Institut du Cerveau, ICM, Hôpital de la Pitié-Salpêtrière, Sorbonne Université, Paris 75013, France
- Assistance Publique-Hôpitaux de Paris, Hôpital de la Pitie Salpêtrière, Fédération de Neurologie, 75013 Paris, France
| |
Collapse
|
17
|
Abstract
Color is a fundamental aspect of normal visual experience. This chapter provides an overview of the role of color in human behavior, a survey of current knowledge regarding the genetic, retinal, and neural mechanisms that enable color vision, and a review of inherited and acquired defects of color vision including a discussion of diagnostic tests.
Collapse
Affiliation(s)
- Joseph Carroll
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, United States.
| | - Bevil R Conway
- Laboratory of Sensorimotor Research, National Eye Institute, National Institute of Mental Health, Bethesda, MD, United States.
| |
Collapse
|
18
|
Hesse JK, Tsao DY. The macaque face patch system: a turtle’s underbelly for the brain. Nat Rev Neurosci 2020; 21:695-716. [DOI: 10.1038/s41583-020-00393-w] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 02/06/2023]
|
19
|
He B, Cao L, Xia X, Zhang B, Zhang D, You B, Fan L, Jiang T. Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles. Neurosci Bull 2020; 36:1454-1473. [PMID: 33108588 PMCID: PMC7719154 DOI: 10.1007/s12264-020-00589-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/30/2020] [Indexed: 11/25/2022] Open
Abstract
The frontal pole cortex (FPC) plays key roles in various higher-order functions and is highly developed in non-human primates. An essential missing piece of information is the detailed anatomical connections for finer parcellation of the macaque FPC than provided by the previous tracer results. This is important for understanding the functional architecture of the cerebral cortex. Here, combining cross-validation and principal component analysis, we formed a tractography-based parcellation scheme that applied a machine learning algorithm to divide the macaque FPC (2 males and 6 females) into eight subareas using high-resolution diffusion magnetic resonance imaging with the 9.4T Bruker system, and then revealed their subregional connections. Furthermore, we applied improved hierarchical clustering to the obtained parcels to probe the modular structure of the subregions, and found that the dorsolateral FPC, which contains an extension to the medial FPC, was mainly connected to regions of the default-mode network. The ventral FPC was mainly involved in the social-interaction network and the dorsal FPC in the metacognitive network. These results enhance our understanding of the anatomy and circuitry of the macaque brain, and contribute to FPC-related clinical research.
Collapse
Affiliation(s)
- Bin He
- School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China.,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, 100190, China
| | - Long Cao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Xiaoluan Xia
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China
| | - Baogui Zhang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, 100190, China
| | - Dan Zhang
- Core Facility, Center of Biomedical Analysis, Tsinghua University, Beijing, 100084, China
| | - Bo You
- School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China.
| | - Lingzhong Fan
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, 100190, China. .,Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, 100190, China. .,University of CAS, Beijing, 100049, China.
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, 100190, China. .,Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, 100190, China. .,Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. .,The Queensland Brain Institute, University of Queensland, Brisbane, QLD, 4072, Australia. .,University of CAS, Beijing, 100049, China. .,Chinese Institute for Brain Research, Beijing, 102206, China.
| |
Collapse
|
20
|
What does a "face cell" want?'. Prog Neurobiol 2020; 195:101880. [PMID: 32918972 DOI: 10.1016/j.pneurobio.2020.101880] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 05/12/2020] [Accepted: 06/26/2020] [Indexed: 11/21/2022]
Abstract
In the 1970s Charlie Gross was among the first to identify neurons that respond selectively to faces, in the macaque inferior temporal (IT) cortex. This seminal finding has been followed by numerous studies quantifying the visual features that trigger a response from face cells in order to answer the question; what do face cells want? However, the connection between face-selective activity in IT cortex and visual perception remains only partially understood. Here we present fMRI results in the macaque showing that some face patches respond to illusory facial features in objects. We argue that to fully understand the functional role of face cells, we need to develop approaches that test the extent to which their response explains what we see.
Collapse
|
21
|
Bao P, She L, McGill M, Tsao DY. A map of object space in primate inferotemporal cortex. Nature 2020; 583:103-108. [PMID: 32494012 DOI: 10.1038/s41586-020-2350-5] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 03/17/2020] [Indexed: 11/09/2022]
Abstract
The inferotemporal (IT) cortex is responsible for object recognition, but it is unclear how the representation of visual objects is organized in this part of the brain. Areas that are selective for categories such as faces, bodies, and scenes have been found1-5, but large parts of IT cortex lack any known specialization, raising the question of what general principle governs IT organization. Here we used functional MRI, microstimulation, electrophysiology, and deep networks to investigate the organization of macaque IT cortex. We built a low-dimensional object space to describe general objects using a feedforward deep neural network trained on object classification6. Responses of IT cells to a large set of objects revealed that single IT cells project incoming objects onto specific axes of this space. Anatomically, cells were clustered into four networks according to the first two components of their preferred axes, forming a map of object space. This map was repeated across three hierarchical stages of increasing view invariance, and cells that comprised these maps collectively harboured sufficient coding capacity to approximately reconstruct objects. These results provide a unified picture of IT organization in which category-selective regions are part of a coarse map of object space whose dimensions can be extracted from a deep network.
Collapse
Affiliation(s)
- Pinglei Bao
- Division of Biology and Biological Engineering, Tianqiao and Chrissy Chen Institute for Neuroscience, Caltech, Pasadena, CA, USA. .,Howard Hughes Medical Institute, Caltech, Pasadena, CA, USA.
| | - Liang She
- Division of Biology and Biological Engineering, Tianqiao and Chrissy Chen Institute for Neuroscience, Caltech, Pasadena, CA, USA
| | - Mason McGill
- Computation and Neural Systems, Caltech, Pasadena, CA, USA
| | - Doris Y Tsao
- Division of Biology and Biological Engineering, Tianqiao and Chrissy Chen Institute for Neuroscience, Caltech, Pasadena, CA, USA. .,Howard Hughes Medical Institute, Caltech, Pasadena, CA, USA. .,Computation and Neural Systems, Caltech, Pasadena, CA, USA.
| |
Collapse
|
22
|
Zhang Y, Liu B, Gao X. Spatiotemporal dynamics of working memory under the influence of emotions based on EEG. J Neural Eng 2020; 17:026039. [PMID: 32163933 DOI: 10.1088/1741-2552/ab7f50] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Previous studies have reported that working memory (WM) may be affected by emotions and that the effect may exist in different stages of WM. However, at present it remains controversial whether emotions inhibit or facilitate WM, and how the mechanism of dynamic information transmission in the brain during WM is affected by emotions. APPROACH In this study, we used a video database to induce three emotions (negative, neutral, and positive) and adopted a change detection paradigm based on electroencephalography. Event-related potential (ERP) analysis, event-related spectral perturbation analysis, source location analysis based on the dipole localization method and the distributed source localization method, and effective connectivity analysis were performed. MAIN RESULTS Both behavioral and ERP results suggest that positive emotions have no significant effect on WM capacity, while negative emotions could facilitate WM capacity. Furthermore, the effective connectivity results based on two source location methods suggest that the long-range connectivity between the frontal and posterior areas can reflect the influence of positive and negative emotions on the WM network, in which the connectivity under the positive emotion condition occurs in the earlier period of WM maintenance, while the connectivity under the negative emotion condition occurs in the later period of WM maintenance. SIGNIFICANCE The consistency of the behavioral, ERP, and effective connectivity results suggests that under the negative emotion condition, the top-down attention modulation between the frontoparietal area and posterior area could promote the most relevant information storage during WM maintenance.
Collapse
Affiliation(s)
- Yuanyuan Zhang
- College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin 300350, People's Republic of China
| | | | | |
Collapse
|