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Kliemann D, Galdi P, Van De Water AL, Egger B, Jarecka D, Adolphs R, Ghosh SS. Resting-State Functional Connectivity of the Amygdala in Autism: A Preregistered Large-Scale Study. Am J Psychiatry 2024:appiajp20230249. [PMID: 39205507 DOI: 10.1176/appi.ajp.20230249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
OBJECTIVE Three leading neurobiological hypotheses about autism spectrum disorder (ASD) propose underconnectivity between brain regions, atypical function of the amygdala, and generally higher variability between individuals with ASD than between neurotypical individuals. Past work has often failed to generalize, because of small sample sizes, unquantified data quality, and analytic flexibility. This study addressed these limitations while testing the above three hypotheses, applied to amygdala functional connectivity. METHODS In a comprehensive preregistered study, the three hypotheses were tested in a subset (N=488 after exclusions; N=212 with ASD) of the Autism Brain Imaging Data Exchange data sets. The authors analyzed resting-state functional connectivity (FC) from functional MRI data from two anatomically defined amygdala subdivisions, in three hypotheses with respect to magnitude, pattern similarity, and variability, across different anatomical scales ranging from whole brain to specific regions and networks. RESULTS A Bayesian approach to hypothesis evaluation produced inconsistent evidence in ASD for atypical amygdala FC magnitude, strong evidence that the multivariate pattern of FC was typical, and no consistent evidence of increased interindividual variability in FC. The results strongly depended on analytic choices, including preprocessing pipeline for the neuroimaging data, anatomical specificity, and subject exclusions. CONCLUSIONS A preregistered set of analyses found no reliable evidence for atypical functional connectivity of the amygdala in autism, contrary to leading hypotheses. Future studies should test an expanded set of hypotheses across multiple processing pipelines, collect deeper data per individual, and include a greater diversity of participants to ensure robust generalizability of findings on amygdala FC in ASD.
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Affiliation(s)
- Dorit Kliemann
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Paola Galdi
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Avery L Van De Water
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Brandon Egger
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Dorota Jarecka
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Ralph Adolphs
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
| | - Satrajit S Ghosh
- Department of Psychological and Brain Sciences (Kliemann, Van De Water, Egger), Department of Psychiatry (Kliemann), and Iowa Neuroscience Institute (Kliemann, Van De Water), University of Iowa, Iowa City; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena (Kliemann, Adolphs); School of Informatics, University of Edinburgh, Edinburgh (Galdi); McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Mass. (Jarecka, Ghosh); Division of Biology and Biological Engineering and Chen Neuroscience Institute, California Institute of Technology, Pasadena (Adolphs); Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston (Ghosh)
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2
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Biggs EE, Timmers I, Heathcote LC, Tremblay-McGaw AG, Noel M, Borsook D, Simons LE. Emotional memory bias in adolescents with chronic pain: examining the relationship with neural, stress, and psychological factors. Pain 2024:00006396-990000000-00688. [PMID: 39172857 DOI: 10.1097/j.pain.0000000000003382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/12/2024] [Indexed: 08/24/2024]
Abstract
ABSTRACT Memory biases for pain-related information may contribute to the development and maintenance of chronic pain; however, evidence for when (and for whom) these biases occur is mixed. Therefore, we examined neural, stress, and psychological factors that could influence memory bias, focusing on memories that motivate disabling behaviors: pain perception, conditioned responses to threat-and-safety cues, and responses to aversive nonnoxious stimuli. Two studies were conducted with adolescents with and without chronic pain. Data from 58 participants were included in study 1 (chronic pain n = 34, pain free n = 24, mean age = 16 years), and 39 participants were included in study 2 (chronic pain n = 26, pain free n = 13, mean age = 16 years). Both studies used a threat-safety learning paradigm with memory recall (≈1 month later). Participants completed structural and functional (resting-state) magnetic resonance imaging, salivary cortisol measurements, and self-report measures. Adolescents with pain and pain-free peers consistently recalled being more afraid of safety cues (CS-) and, during heightened stress at encoding (higher cortisol levels), also reported being more afraid of threat cues (CS+). However, no memory bias was present for the emotional response to an aversive stimulus (US; loud scream) or for the recall of pain intensity. Functional connectivity of the amygdala and hippocampus with memory circuits related to the degree of memory bias, but the specific connections varied between the studies, and we observed no relationship between memory bias and brain morphology. Our findings highlight the value of considering the interaction between implicit and explicit memory systems, contributing to a more comprehensive understanding of emotional memory biases in the context of chronic pain.
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Affiliation(s)
- Emma E Biggs
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
| | - Inge Timmers
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
| | - Lauren C Heathcote
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
- Health Psychology Section, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Alexandra G Tremblay-McGaw
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Melanie Noel
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - David Borsook
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
| | - Laura E Simons
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
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3
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Courellis HS, Minxha J, Cardenas AR, Kimmel DL, Reed CM, Valiante TA, Salzman CD, Mamelak AN, Fusi S, Rutishauser U. Abstract representations emerge in human hippocampal neurons during inference. Nature 2024; 632:841-849. [PMID: 39143207 PMCID: PMC11338822 DOI: 10.1038/s41586-024-07799-x] [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: 11/30/2023] [Accepted: 07/09/2024] [Indexed: 08/16/2024]
Abstract
Humans have the remarkable cognitive capacity to rapidly adapt to changing environments. Central to this capacity is the ability to form high-level, abstract representations that take advantage of regularities in the world to support generalization1. However, little is known about how these representations are encoded in populations of neurons, how they emerge through learning and how they relate to behaviour2,3. Here we characterized the representational geometry of populations of neurons (single units) recorded in the hippocampus, amygdala, medial frontal cortex and ventral temporal cortex of neurosurgical patients performing an inferential reasoning task. We found that only the neural representations formed in the hippocampus simultaneously encode several task variables in an abstract, or disentangled, format. This representational geometry is uniquely observed after patients learn to perform inference, and consists of disentangled directly observable and discovered latent task variables. Learning to perform inference by trial and error or through verbal instructions led to the formation of hippocampal representations with similar geometric properties. The observed relation between representational format and inference behaviour suggests that abstract and disentangled representational geometries are important for complex cognition.
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Affiliation(s)
- Hristos S Courellis
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Juri Minxha
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Araceli R Cardenas
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Daniel L Kimmel
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Chrystal M Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Taufik A Valiante
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - C Daniel Salzman
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
- Department of Neuroscience, Columbia University, New York, NY, USA
- Kavli Institute for Brain Sciences, Columbia University, New York, NY, USA
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Stefano Fusi
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
- Department of Neuroscience, Columbia University, New York, NY, USA
- Kavli Institute for Brain Sciences, Columbia University, New York, NY, USA
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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Courellis HS, Valiante TA, Mamelak AN, Adolphs R, Rutishauser U. Neural dynamics underlying minute-timescale persistent behavior in the human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.16.603717. [PMID: 39071326 PMCID: PMC11275932 DOI: 10.1101/2024.07.16.603717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
The ability to pursue long-term goals relies on a representations of task context that can both be maintained over long periods of time and switched flexibly when goals change. Little is known about the neural substrate for such minute-scale maintenance of task sets. Utilizing recordings in neurosurgical patients, we examined how groups of neurons in the human medial frontal cortex and hippocampus represent task contexts. When cued explicitly, task context was encoded in both brain areas and changed rapidly at task boundaries. Hippocampus exhibited a temporally dynamic code with fast decorrelation over time, preventing cross-temporal generalization. Medial frontal cortex exhibited a static code that decorrelated slowly, allowing generalization across minutes of time. When task context needed to be inferred as a latent variable, hippocampus encoded task context with a static code. These findings reveal two possible regimes for encoding minute-scale task-context representations that were engaged differently based on task demands.
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Daume J, Kamiński J, Salimpour Y, Anderson WS, Valiante TA, Mamelak AN, Rutishauser U. Persistent activity during working memory maintenance predicts long-term memory formation in the human hippocampus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.15.603630. [PMID: 39071325 PMCID: PMC11275810 DOI: 10.1101/2024.07.15.603630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Working Memory (WM) and Long-Term Memory (LTM) are often viewed as separate cognitive systems. Little is known about how these systems interact when forming memories. We recorded single neurons in the human medial temporal lobe while patients maintained novel items in WM and a subsequent recognition memory test for the same items. In the hippocampus but not the amygdala, the level of WM content-selective persist activity during WM maintenance was predictive of whether the item was later recognized with high confidence or forgotten. In contrast, visually evoked activity in the same cells was not predictive of LTM formation. During LTM retrieval, memory-selective neurons responded more strongly to familiar stimuli for which persistent activity was high while they were maintained in WM. Our study suggests that hippocampal persistent activity of the same cell supports both WM maintenance and LTM encoding, thereby revealing a common single-neuron component of these two memory systems.
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Castellucci GA, Kovach CK, Tabasi F, Christianson D, Greenlee JDW, Long MA. Stimulation of caudal inferior and middle frontal gyri disrupts planning during spoken interaction. Curr Biol 2024; 34:2719-2727.e5. [PMID: 38823382 PMCID: PMC11187660 DOI: 10.1016/j.cub.2024.04.080] [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: 01/20/2024] [Revised: 03/06/2024] [Accepted: 04/30/2024] [Indexed: 06/03/2024]
Abstract
Turn-taking is a central feature of conversation across languages and cultures.1,2,3,4 This key social behavior requires numerous sensorimotor and cognitive operations1,5,6 that can be organized into three general phases: comprehension of a partner's turn, preparation of a speaker's own turn, and execution of that turn. Using intracranial electrocorticography, we recently demonstrated that neural activity related to these phases is functionally distinct during turn-taking.7 In particular, networks active during the perceptual and articulatory stages of turn-taking consisted of structures known to be important for speech-related sensory and motor processing,8,9,10,11,12,13,14,15,16,17 while putative planning dynamics were most regularly observed in the caudal inferior frontal gyrus (cIFG) and the middle frontal gyrus (cMFG). To test if these structures are necessary for planning during spoken interaction, we used direct electrical stimulation (DES) to transiently perturb cortical function in neurosurgical patient-volunteers performing a question-answer task.7,18,19 We found that stimulating the cIFG and cMFG led to various response errors9,13,20,21 but not gross articulatory deficits, which instead resulted from DES of structures involved in motor control8,13,20,22 (e.g., the precentral gyrus). Furthermore, perturbation of the cIFG and cMFG delayed inter-speaker timing-consistent with slowed planning-while faster responses could result from stimulation of sites located in other areas. Taken together, our findings suggest that the cIFG and cMFG contain critical preparatory circuits that are relevant for interactive language use.
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Affiliation(s)
- Gregg A Castellucci
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA
| | - Christopher K Kovach
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Farhad Tabasi
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - David Christianson
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Jeremy D W Greenlee
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, Iowa City, IA 52242, USA
| | - Michael A Long
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
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7
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Xiao X, Li J, Cao D, Zhang J, Jiang T. Contributions of repeated learning to memory in humans: insights from single-neuron recordings in the hippocampus and amygdala. Cereb Cortex 2024; 34:bhae244. [PMID: 38858840 DOI: 10.1093/cercor/bhae244] [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: 02/06/2024] [Revised: 05/21/2024] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
Despite the well-established phenomenon of improved memory performance through repeated learning, studies investigating the associated neural mechanisms have yielded complex and sometimes contradictory findings, and direct evidence from human neuronal recordings has been lacking. This study employs single-neuron recordings with exceptional spatial-temporal resolution, combined with representational similarity analysis, to explore the neural dynamics within the hippocampus and amygdala during repeated learning. Our results demonstrate that in the hippocampus, repetition enhances both representational specificity and fidelity, with these features predicting learning times. Conversely, the amygdala exhibits heightened representational specificity and fidelity during initial learning but does not show improvement with repetition, suggesting functional specialization of the hippocampus and amygdala during different stages of the learning repetition. Specifically, the hippocampus appears to contribute to sustained engagement necessary for benefiting from repeated learning, while the amygdala may play a role in the representation of novel items. These findings contribute to a comprehensive understanding of the intricate interplay between these brain regions in memory processes. Significance statement For over a century, understanding how repetition contributes to memory enhancement has captivated researchers, yet direct neuronal evidence has been lacking, with a primary focus on the hippocampus and a neglect of the neighboring amygdala. Employing advanced single-neuron recordings and analytical techniques, this study unveils a nuanced functional specialization within the amygdala-hippocampal circuit during various learning repetition. The results highlight the hippocampus's role in sustaining engagement for improved memory with repetition, contrasting with the amygdala's superior ability in representing novel items. This exploration not only deepens our comprehension of memory enhancement intricacies but also sheds light on potential interventions to optimize learning and memory processes.
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Affiliation(s)
- Xinyu Xiao
- Tianzi Jiang Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Li
- School of Psychology, Capital Normal University, Beijing 100048, China
| | - Dan Cao
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaqi Zhang
- Tianzi Jiang Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianzi Jiang
- Tianzi Jiang Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
- Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou 311100, China
- Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou 425000, Hunan Province, China
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Kirk-Provencher KT, Sloan ME, Andereas K, Erickson CJ, Hakimi RH, Penner AE, Gowin JL. Neural responses to reward, threat, and emotion regulation and transition to hazardous alcohol use. Alcohol Alcohol 2024; 59:agae043. [PMID: 38953742 PMCID: PMC11217988 DOI: 10.1093/alcalc/agae043] [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: 01/11/2024] [Revised: 05/13/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024] Open
Abstract
AIMS Reward processing and regulation of emotions are thought to impact the development of addictive behaviors. In this study, we aimed to determine whether neural responses during reward anticipation, threat appraisal, emotion reactivity, and cognitive reappraisal predicted the transition from low-level to hazardous alcohol use over a 12-month period. METHODS Seventy-eight individuals aged 18-22 with low-level alcohol use [i.e. Alcohol Use Disorder Identification Test (AUDIT) score <7] at baseline were enrolled. They completed reward-based and emotion regulation tasks during magnetic resonance imaging to examine reward anticipation, emotional reactivity, cognitive reappraisal, and threat anticipation (in the nucleus accumbens, amygdala, superior frontal gyrus, and insula, respectively). Participants completed self-report measures at 3-, 6-, 9-, and 12-month follow-up time points to determine if they transitioned to hazardous use (as defined by AUDIT scores ≥8). RESULTS Of the 57 participants who completed follow-up, 14 (24.6%) transitioned to hazardous alcohol use. Higher baseline AUDIT scores were associated with greater odds of transitioning to hazardous use (odds ratio = 1.73, 95% confidence interval 1.13-2.66, P = .005). Brain activation to reward, threat, and emotion regulation was not associated with alcohol use. Of the neural variables, the amygdala response to negative imagery was numerically larger in young adults who transitioned to hazardous use (g = 0.31), but this effect was not significant. CONCLUSIONS Baseline drinking levels were significantly associated with the transition to hazardous alcohol use. Studies with larger samples and longer follow-up should test whether the amygdala response to negative emotional imagery can be used to indicate a future transition to hazardous alcohol use.
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Affiliation(s)
- Katelyn T Kirk-Provencher
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
| | - Matthew E Sloan
- Addictions Division, Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, ON, M6J 1H4, Canada
- Department of Pharmacology and Toxicology, University of Toronto, 1 King's College Circle Toronto, ON, M5S 1A8, Canada
- Division of Neurosciences and Clinical Translation, Department of Psychiatry, University of Toronto, 250 College St. Toronto, ON, M5T 1R8, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 620 University Ave. Toronto, ON, M5G 2C1, Canada
- Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, 1 King's College Circle Toronto, ON, M5S 1A8, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 479 Spadina Ave. Toronto, ON, M5S 2S1, Canada
| | - Keinada Andereas
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
| | - Cooper J Erickson
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
| | - Rosa H Hakimi
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
| | - Anne E Penner
- Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
| | - Joshua L Gowin
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States
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9
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Daume J, Kamiński J, Schjetnan AGP, Salimpour Y, Khan U, Kyzar M, Reed CM, Anderson WS, Valiante TA, Mamelak AN, Rutishauser U. Control of working memory by phase-amplitude coupling of human hippocampal neurons. Nature 2024; 629:393-401. [PMID: 38632400 PMCID: PMC11078732 DOI: 10.1038/s41586-024-07309-z] [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: 05/03/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
Retaining information in working memory is a demanding process that relies on cognitive control to protect memoranda-specific persistent activity from interference1,2. However, how cognitive control regulates working memory storage is unclear. Here we show that interactions of frontal control and hippocampal persistent activity are coordinated by theta-gamma phase-amplitude coupling (TG-PAC). We recorded single neurons in the human medial temporal and frontal lobe while patients maintained multiple items in their working memory. In the hippocampus, TG-PAC was indicative of working memory load and quality. We identified cells that selectively spiked during nonlinear interactions of theta phase and gamma amplitude. The spike timing of these PAC neurons was coordinated with frontal theta activity when cognitive control demand was high. By introducing noise correlations with persistently active neurons in the hippocampus, PAC neurons shaped the geometry of the population code. This led to higher-fidelity representations of working memory content that were associated with improved behaviour. Our results support a multicomponent architecture of working memory1,2, with frontal control managing maintenance of working memory content in storage-related areas3-5. Within this framework, hippocampal TG-PAC integrates cognitive control and working memory storage across brain areas, thereby suggesting a potential mechanism for top-down control over sensory-driven processes.
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Affiliation(s)
- Jonathan Daume
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Jan Kamiński
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Andrea G P Schjetnan
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Yousef Salimpour
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Umais Khan
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michael Kyzar
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Chrystal M Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - William S Anderson
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Taufik A Valiante
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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10
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Hermosillo RJM, Moore LA, Feczko E, Miranda-Domínguez Ó, Pines A, Dworetsky A, Conan G, Mooney MA, Randolph A, Graham A, Adeyemo B, Earl E, Perrone A, Carrasco CM, Uriarte-Lopez J, Snider K, Doyle O, Cordova M, Koirala S, Grimsrud GJ, Byington N, Nelson SM, Gratton C, Petersen S, Feldstein Ewing SW, Nagel BJ, Dosenbach NUF, Satterthwaite TD, Fair DA. A precision functional atlas of personalized network topography and probabilities. Nat Neurosci 2024; 27:1000-1013. [PMID: 38532024 PMCID: PMC11089006 DOI: 10.1038/s41593-024-01596-5] [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: 02/14/2022] [Accepted: 02/08/2024] [Indexed: 03/28/2024]
Abstract
Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.
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Affiliation(s)
- Robert J M Hermosillo
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Lucille A Moore
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Eric Feczko
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Óscar Miranda-Domínguez
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Adam Pines
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Ally Dworetsky
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Gregory Conan
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Michael A Mooney
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR, USA
| | - Anita Randolph
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Alice Graham
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Earl
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Anders Perrone
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Cristian Morales Carrasco
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | | | - Kathy Snider
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Olivia Doyle
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Michaela Cordova
- Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Clinical Psychology, University of California San Diego, San Diego, CA, USA
| | - Sanju Koirala
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Gracie J Grimsrud
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Nora Byington
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Steven M Nelson
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychology, Florida State University, Tallahassee, FL, USA
- Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Steven Petersen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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11
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Aquino TG, Courellis H, Mamelak AN, Rutishauser U, O Doherty JP. Encoding of Predictive Associations in Human Prefrontal and Medial Temporal Neurons During Pavlovian Appetitive Conditioning. J Neurosci 2024; 44:e1628232024. [PMID: 38423764 PMCID: PMC11044193 DOI: 10.1523/jneurosci.1628-23.2024] [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: 08/28/2023] [Revised: 01/29/2024] [Accepted: 02/19/2024] [Indexed: 03/02/2024] Open
Abstract
Pavlovian conditioning is thought to involve the formation of learned associations between stimuli and values, and between stimuli and specific features of outcomes. Here, we leveraged human single neuron recordings in ventromedial prefrontal, dorsomedial frontal, hippocampus, and amygdala while patients of both sexes performed an appetitive Pavlovian conditioning task probing both stimulus-value and stimulus-stimulus associations. Ventromedial prefrontal cortex encoded predictive value along with the amygdala, and also encoded predictions about the identity of stimuli that would subsequently be presented, suggesting a role for neurons in this region in encoding predictive information beyond value. Unsigned error signals were found in dorsomedial frontal areas and hippocampus, potentially supporting learning of non-value related outcome features. Our findings implicate distinct human prefrontal and medial temporal neuronal populations in mediating predictive associations which could partially support model-based mechanisms during Pavlovian conditioning.
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Affiliation(s)
- Tomas G Aquino
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California 90048
- Computation and Neural Systems, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125
| | - Hristos Courellis
- Biological Engineering, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California 90048
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, California 90048
- Computation and Neural Systems, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125
| | - John P O Doherty
- Computation and Neural Systems, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, California 91125
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12
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Ghanem K, Saltoun K, Suvrathan A, Draganski B, Bzdok D. Longitudinal microstructural changes in 18 amygdala nuclei resonate with cortical circuits and phenomics. Commun Biol 2024; 7:477. [PMID: 38637627 PMCID: PMC11026520 DOI: 10.1038/s42003-024-06187-5] [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: 05/23/2023] [Accepted: 04/11/2024] [Indexed: 04/20/2024] Open
Abstract
The amygdala nuclei modulate distributed neural circuits that most likely evolved to respond to environmental threats and opportunities. So far, the specific role of unique amygdala nuclei in the context processing of salient environmental cues lacks adequate characterization across neural systems and over time. Here, we present amygdala nuclei morphometry and behavioral findings from longitudinal population data (>1400 subjects, age range 40-69 years, sampled 2-3 years apart): the UK Biobank offers exceptionally rich phenotyping along with brain morphology scans. This allows us to quantify how 18 microanatomical amygdala subregions undergo plastic changes in tandem with coupled neural systems and delineating their associated phenome-wide profiles. In the context of population change, the basal, lateral, accessory basal, and paralaminar nuclei change in lockstep with the prefrontal cortex, a region that subserves planning and decision-making. The central, medial and cortical nuclei are structurally coupled with the insular and anterior-cingulate nodes of the salience network, in addition to the MT/V5, basal ganglia, and putamen, areas proposed to represent internal bodily states and mediate attention to environmental cues. The central nucleus and anterior amygdaloid area are longitudinally tied with the inferior parietal lobule, known for a role in bodily awareness and social attention. These population-level amygdala-brain plasticity regimes in turn are linked with unique collections of phenotypes, ranging from social status and employment to sleep habits and risk taking. The obtained structural plasticity findings motivate hypotheses about the specific functions of distinct amygdala nuclei in humans.
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Affiliation(s)
- Karam Ghanem
- The Neuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Department of Biomedical Engineering, Faculty of Medicine, School of Computer Science, McGill University, Montreal, Canada.
- Mila - Quebec Artificial Intelligence Institute, Montreal, QC, Canada.
| | - Karin Saltoun
- The Neuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Department of Biomedical Engineering, Faculty of Medicine, School of Computer Science, McGill University, Montreal, Canada
- Mila - Quebec Artificial Intelligence Institute, Montreal, QC, Canada
| | - Aparna Suvrathan
- Department of Neurology and Neurosurgery, Department of Pediatrics, McGill University, Montreal, QC, Canada
- Brain Repair and Integrative Neuroscience (BRaIN) Research Program, Montreal, QC, Canada
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Bogdan Draganski
- LREN, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Danilo Bzdok
- The Neuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Department of Biomedical Engineering, Faculty of Medicine, School of Computer Science, McGill University, Montreal, Canada.
- Mila - Quebec Artificial Intelligence Institute, Montreal, QC, Canada.
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13
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Jerczynski S, Quémener M, Noël VP, Rousseau A, Parham E, Bédard A, Masoumi S, Charland T, Drouin A, Roussel J, Dionne V, Shooner T, Parrot A, Takech MA, Philippe É, DePaoli D, Cantin L, Parent M, Côté DC. Human brain tissue identification using coherent anti-Stokes Raman scattering spectroscopy and diffuse reflectance spectroscopy for deep brain stimulation surgery. NEUROPHOTONICS 2024; 11:025006. [PMID: 38868631 PMCID: PMC11167480 DOI: 10.1117/1.nph.11.2.025006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/09/2024] [Accepted: 05/22/2024] [Indexed: 06/14/2024]
Abstract
Significance We assess the feasibility of using diffuse reflectance spectroscopy (DRS) and coherent anti-Stokes Raman scattering spectroscopy (CARS) as optical tools for human brain tissue identification during deep brain stimulation (DBS) lead insertion, thereby providing a promising avenue for additional real-time neurosurgical guidance. Aim We developed a system that can acquire CARS and DRS spectra during the DBS surgery procedure to identify the tissue composition along the lead trajectory. Approach DRS and CARS spectra were acquired using a custom-built optical probe integrated in a commercial DBS lead. The lead was inserted to target three specific regions in each of the brain hemispheres of a human cadaver. Spectra were acquired during the lead insertion at constant position increments. Spectra were analyzed to classify each spectrum as being from white matter (WM) or gray matter (GM). The results were compared with tissue classification performed on histological brain sections. Results DRS and CARS spectra obtained using the optical probe can identify WM and GM during DBS lead insertion. The tissue composition along the trajectory toward a specific target is unique and can be differentiated by the optical probe. Moreover, the results obtained with principal component analysis suggest that DRS might be able to detect the presence of blood due to the strong optical absorption of hemoglobin. Conclusions It is possible to use optical measurements from the DBS lead during surgery to identify WM and GM and possibly the presence of blood in human brain tissue. The proposed optical tool could inform the surgeon during the lead placement if the lead has reached the target as planned. Our tool could eventually replace microelectrode recordings, which would streamline the process and reduce surgery time. Further developments are required to fully integrate these tools into standard clinical procedures.
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Affiliation(s)
- Sébastien Jerczynski
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Mireille Quémener
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Valérie Pineau Noël
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Antoine Rousseau
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Elahe Parham
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Alexandre Bédard
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Shadi Masoumi
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Thomas Charland
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Anthony Drouin
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Jonathan Roussel
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Valérie Dionne
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Thomas Shooner
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Anaïs Parrot
- Centre Hospitalier de l’Université Laval, CHU de Québec-Université Laval, Québec, Canada
| | - Mohamad A. Takech
- Laboratoire d’anatomie, Faculté de médecine de l’Université Laval, Québec, Canada
| | - Éric Philippe
- Laboratoire d’anatomie, Faculté de médecine de l’Université Laval, Québec, Canada
| | - Damon DePaoli
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
| | - Léo Cantin
- Hôpital de l’Enfant-Jésus, CHU de Québec-Université Laval, Québec, Canada
| | - Martin Parent
- CERVO Brain Research Center, Québec City, Québec, Canada
| | - Daniel C. Côté
- CERVO Brain Research Center, Québec City, Québec, Canada
- Centre d’optique, photonique et laser, Québec City, Québec, Canada
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14
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Giacometti C, Autran-Clavagnier D, Dureux A, Viñales L, Lamberton F, Procyk E, Wilson CRE, Amiez C, Hadj-Bouziane F. Differential functional organization of amygdala-medial prefrontal cortex networks in macaque and human. Commun Biol 2024; 7:269. [PMID: 38443489 PMCID: PMC10914752 DOI: 10.1038/s42003-024-05918-y] [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: 02/24/2023] [Accepted: 02/14/2024] [Indexed: 03/07/2024] Open
Abstract
Over the course of evolution, the amygdala (AMG) and medial frontal cortex (mPFC) network, involved in behavioral adaptation, underwent structural changes in the old-world monkey and human lineages. Yet, whether and how the functional organization of this network differs remains poorly understood. Using resting-state functional magnetic resonance imagery, we show that the functional connectivity (FC) between AMG nuclei and mPFC regions differs between humans and awake macaques. In humans, the AMG-mPFC FC displays U-shaped pattern along the corpus callosum: a positive FC with the ventromedial prefrontal (vmPFC) and anterior cingulate cortex (ACC), a negative FC with the anterior mid-cingulate cortex (MCC), and a positive FC with the posterior MCC. Conversely, in macaques, the negative FC shifted more ventrally at the junction between the vmPFC and the ACC. The functional organization divergence of AMG-mPFC network between humans and macaques might help understanding behavioral adaptation abilities differences in their respective socio-ecological niches.
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Affiliation(s)
- Camille Giacometti
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France.
| | - Delphine Autran-Clavagnier
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
- Inovarion, 75005, Paris, France
| | - Audrey Dureux
- Integrative Multisensory Perception Action & Cognition Team (ImpAct), INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center (CRNL); Université Lyon 1, 69500, Bron, France
| | - Laura Viñales
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - Franck Lamberton
- La Structure Fédérative de Recherche Santé Lyon-Est, CNRS UAR 3453, INSERM US7, Lyon 1 University, 69008, Lyon, France
- Centre d'Etude et de Recherche Multimodal et Pluridisciplinaire en Imagerie du Vivant (CERMEP), 69677, Bron, France
| | - Emmanuel Procyk
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - Charles R E Wilson
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - Céline Amiez
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France.
| | - Fadila Hadj-Bouziane
- Integrative Multisensory Perception Action & Cognition Team (ImpAct), INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center (CRNL); Université Lyon 1, 69500, Bron, France.
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15
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Aranberri Ruiz A. Transcutaneous Auricular Vagus Nerve Stimulation to Improve Emotional State. Biomedicines 2024; 12:407. [PMID: 38398009 PMCID: PMC10886536 DOI: 10.3390/biomedicines12020407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 01/19/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024] Open
Abstract
Emotional experiences are a part of our lives. The maladaptive functioning of an individual's emotional field can lead to emotional disturbances of various kinds, such as anxiety and depression. Currently, there is an increasing prevalence of emotional disorders that cause great human suffering and high socioeconomic costs. Emotional processing has a biological basis. The major neuroscientific theories of emotion are based on biological functioning, and all of them take into account the anatomy and function of the tenth cranial nerve: the vagus nerve. The vagus nerve connects the subdiaphragmatic and supradiaphragmatic areas and modulates emotional processing as the basis of interoceptive functioning. Auricular vagus nerve stimulation is a new and innovative neuromodulation technique based on the function of the vagus nerve. Several interventions have shown that this new neurostimulation technique is a very promising resource for treating emotional disorders. In this paper, we summarise three neuroscientific theories of emotion, explain what transcutaneous auricular nerve stimulation is, and present arguments for its use and continued research.
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Affiliation(s)
- Ainara Aranberri Ruiz
- Department of Basic Psychological Process and Development, University of the Basque Country, 20018 San Sebastian, Spain
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16
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Naqvi NH, Srivastava AB, Sanchez-Peña J, Lee JK, Drysdale AT, Mariani JJ, Ochsner KN, Morgenstern J, Patel GH, Levin FR. Neural correlates of drinking reduction during a clinical trial of cognitive behavioral therapy for alcohol use disorder. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:260-272. [PMID: 38225187 PMCID: PMC11015435 DOI: 10.1111/acer.15259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/05/2023] [Accepted: 12/17/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND Cognitive behavioral therapy (CBT) is an effective treatment for alcohol use disorder (AUD). We hypothesized that the dorsolateral prefrontal cortex (DLPFC), a region implicated in cognitive control and goal-directed behavior, plays a role in behavior change during CBT by facilitating the regulation of craving (ROC). METHODS Treatment-seeking participants with AUD (N = 22) underwent functional magnetic resonance imaging (fMRI) scanning both before and after a 12-week, single-arm trial of CBT, using an ROC task that was previously shown to engage the DLPFC. RESULTS We found that both the percentage of heavy drinking days (PHDD) and the overall self-reported alcohol craving measured during the ROC task were significantly reduced from pre- to post-CBT. However, we did not find significant changes over time in either the ability to regulate craving or regulation-related activity in any brain region. We found a significant 3-way interaction between the effects of cue-induced craving, cue-induced brain activity and timepoint of assessment (pre- or post-CBT) on PHDD in the left DLPFC. Follow-up analysis showed that cue-induced craving was associated with cue-induced activity in the left DLPFC among participants who ceased heavy drinking during CBT, both at pre-CBT and post-CBT timepoints. No such associations were present at either timepoint among participants who continued to drink heavily. CONCLUSIONS These results suggest that patients in whom DLPFC functioning is more strongly related to cue-induced craving may preferentially respond to CBT.
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Affiliation(s)
- Nasir H Naqvi
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - A Benjamin Srivastava
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - Juan Sanchez-Peña
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - Jessica K Lee
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - Andrew T Drysdale
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - John J Mariani
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - Kevin N Ochsner
- Department of Psychology, Columbia University, New York, New York, USA
| | - Jon Morgenstern
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra University/Northwell Health, Hempstead, New York, USA
| | - Gaurav H Patel
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
| | - Frances R Levin
- Department of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, New York, USA
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17
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Kyzar M, Kamiński J, Brzezicka A, Reed CM, Chung JM, Mamelak AN, Rutishauser U. Dataset of human-single neuron activity during a Sternberg working memory task. Sci Data 2024; 11:89. [PMID: 38238342 PMCID: PMC10796636 DOI: 10.1038/s41597-024-02943-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/10/2024] [Indexed: 01/22/2024] Open
Abstract
We present a dataset of 1809 single neurons recorded from the human medial temporal lobe (amygdala and hippocampus) and medial frontal lobe (anterior cingulate cortex, pre-supplementary motor area, ventral medial prefrontal cortex) across 41 sessions from 21 patients that underwent seizure monitoring with depth electrodes. Subjects performed a screening task (907 neurons) to identify images for which highly selective cells were present. Subjects then performed a working memory task (902 neurons), in which they were sequentially presented with 1-3 images for which highly selective cells were present and, following a maintenance period, were asked if the probe was identical to one of the maintained images. This Neurodata Without Borders formatted dataset includes spike times, extracellular spike waveforms, stimuli presented, behavior, electrode locations, and subject demographics. As validation, we replicate previous findings on the selectivity of concept cells and their persistent activity during working memory maintenance. This large dataset of rare human single-neuron recordings and behavior enables the investigation of the neural mechanisms of working memory in humans.
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Affiliation(s)
- Michael Kyzar
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jan Kamiński
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center of Excellence for Neural Plasticity and Brain Disorders: BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Aneta Brzezicka
- Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland
| | - Chrystal M Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jeffrey M Chung
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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Watve A, Haugg A, Frei N, Koush Y, Willinger D, Bruehl AB, Stämpfli P, Scharnowski F, Sladky R. Facing emotions: real-time fMRI-based neurofeedback using dynamic emotional faces to modulate amygdala activity. Front Neurosci 2024; 17:1286665. [PMID: 38274498 PMCID: PMC10808718 DOI: 10.3389/fnins.2023.1286665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Introduction Maladaptive functioning of the amygdala has been associated with impaired emotion regulation in affective disorders. Recent advances in real-time fMRI neurofeedback have successfully demonstrated the modulation of amygdala activity in healthy and psychiatric populations. In contrast to an abstract feedback representation applied in standard neurofeedback designs, we proposed a novel neurofeedback paradigm using naturalistic stimuli like human emotional faces as the feedback display where change in the facial expression intensity (from neutral to happy or from fearful to neutral) was coupled with the participant's ongoing bilateral amygdala activity. Methods The feasibility of this experimental approach was tested on 64 healthy participants who completed a single training session with four neurofeedback runs. Participants were assigned to one of the four experimental groups (n = 16 per group), i.e., happy-up, happy-down, fear-up, fear-down. Depending on the group assignment, they were either instructed to "try to make the face happier" by upregulating (happy-up) or downregulating (happy-down) the amygdala or to "try to make the face less fearful" by upregulating (fear-up) or downregulating (fear-down) the amygdala feedback signal. Results Linear mixed effect analyses revealed significant amygdala activity changes in the fear condition, specifically in the fear-down group with significant amygdala downregulation in the last two neurofeedback runs as compared to the first run. The happy-up and happy-down groups did not show significant amygdala activity changes over four runs. We did not observe significant improvement in the questionnaire scores and subsequent behavior. Furthermore, task-dependent effective connectivity changes between the amygdala, fusiform face area (FFA), and the medial orbitofrontal cortex (mOFC) were examined using dynamic causal modeling. The effective connectivity between FFA and the amygdala was significantly increased in the happy-up group (facilitatory effect) and decreased in the fear-down group. Notably, the amygdala was downregulated through an inhibitory mechanism mediated by mOFC during the first training run. Discussion In this feasibility study, we intended to address key neurofeedback processes like naturalistic facial stimuli, participant engagement in the task, bidirectional regulation, task congruence, and their influence on learning success. It demonstrated that such a versatile emotional face feedback paradigm can be tailored to target biased emotion processing in affective disorders.
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Affiliation(s)
- Apurva Watve
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
| | - Amelie Haugg
- Department of Child and Adolescent Psychiatry, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Nada Frei
- Department of Child and Adolescent Psychiatry, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Yury Koush
- Magnetic Resonance Research Center (MRRC), Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States
| | - David Willinger
- Department of Child and Adolescent Psychiatry, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
- Division of Psychodynamics, Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Krems an der Donau, Lower Austria, Austria
- Neuroscience Center Zürich, University of Zürich and Swiss Federal Institute of Technology, Zürich, Switzerland
| | - Annette Beatrix Bruehl
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
- Center for Affective, Stress and Sleep Disorders, Psychiatric University Hospital Basel, Basel, Switzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
| | - Frank Scharnowski
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zürich, University of Zürich and Swiss Federal Institute of Technology, Zürich, Switzerland
- Zurich Center for Integrative Human Physiology, Faculty of Medicine, University of Zürich, Zürich, Switzerland
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Ronald Sladky
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
- Social, Cognitive and Affective Neuroscience Unit, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria
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Mulc D, Smilović D, Krsnik Ž, Junaković-Munjas A, Kopić J, Kostović I, Šimić G, Vukšić M. Fetal development of the human amygdala. J Comp Neurol 2024; 532:e25580. [PMID: 38289194 DOI: 10.1002/cne.25580] [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: 04/30/2023] [Revised: 11/03/2023] [Accepted: 12/31/2023] [Indexed: 02/01/2024]
Abstract
The intricate development of the human amygdala involves a complex interplay of diverse processes, varying in speed and duration. In humans, transient cytoarchitectural structures deliquesce, leading to the formation of functionally distinct nuclei as a result of multiple interdependent developmental events. This study compares the amygdala's cytoarchitectural development in conjunction with specific antibody reactivity for neuronal, glial, neuropil, and radial glial fibers, synaptic, extracellular matrix, and myelin components in 39 fetal human brains. We recognized that the early fetal period, as a continuation of the embryonic period, is still dominated by relatively uniform histogenetic processes. The typical appearance of ovoid cell clusters in the lateral nucleus during midfetal period is most likely associated with the cell migration and axonal growth processes in the developing human brain. Notably, synaptic markers are firstly detected in the corticomedial group of nuclei, while immunoreactivity for the panaxonal neurofilament marker SMI 312 is found dorsally. The late fetal period is characterized by a protracted migration process evidenced by the presence of doublecortin and SOX-2 immunoreactivity ventrally, in the prospective paralaminar nucleus, reinforced by vimentin immunoreactivity in the last remaining radial glial fibers. Nearing the term period, SMI 99 immunoreactivity indicates that perinatal myelination becomes prominent primarily along major axonal pathways, laying the foundation for more pronounced functional maturation. This study comprehensively elucidates the rate and sequence of maturational events in the amygdala, highlighting the key role of prenatal development in its behavioral, autonomic, and endocrine regulation, with subsequent implications for both normal functioning and psychiatric disorders.
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Affiliation(s)
- Damir Mulc
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
- Psychiatric Hospital Vrapče, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Dinko Smilović
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Željka Krsnik
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Alisa Junaković-Munjas
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Janja Kopić
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Ivica Kostović
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Goran Šimić
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
| | - Mario Vukšić
- Croatian Institute for Brain Research, School of Medicine, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia
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20
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Pool ER, Pauli WM, Cross L, O'Doherty JP. Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans. Nat Commun 2023; 14:8057. [PMID: 38052792 PMCID: PMC10697955 DOI: 10.1038/s41467-023-43747-5] [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: 02/24/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023] Open
Abstract
We aim to differentiate the brain regions involved in the learning and encoding of Pavlovian associations sensitive to changes in outcome value from those that are not sensitive to such changes by combining a learning task with outcome devaluation, eye-tracking, and functional magnetic resonance imaging in humans. Contrary to theoretical expectation, voxels correlating with reward prediction errors in the ventral striatum and subgenual cingulate appear to be sensitive to devaluation. Moreover, regions encoding state prediction errors appear to be devaluation insensitive. We can also distinguish regions encoding predictions about outcome taste identity from predictions about expected spatial location. Regions encoding predictions about taste identity seem devaluation sensitive while those encoding predictions about an outcome's spatial location seem devaluation insensitive. These findings suggest the existence of multiple and distinct associative mechanisms in the brain and help identify putative neural correlates for the parallel expression of both devaluation sensitive and insensitive conditioned behaviors.
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Affiliation(s)
- Eva R Pool
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
| | - Wolfgang M Pauli
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
- Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, USA
| | - Logan Cross
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Department of Computer Science, Stanford University, Palo Alto, CA, USA
| | - John P O'Doherty
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
- Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, USA
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21
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Castellucci GA, Kovach CK, Tabasi F, Christianson D, Greenlee JD, Long MA. A frontal cortical network is critical for language planning during spoken interaction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.26.554639. [PMID: 37693383 PMCID: PMC10491113 DOI: 10.1101/2023.08.26.554639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Many brain areas exhibit activity correlated with language planning, but the impact of these dynamics on spoken interaction remains unclear. Here we use direct electrical stimulation to transiently perturb cortical function in neurosurgical patient-volunteers performing a question-answer task. Stimulating structures involved in speech motor function evoked diverse articulatory deficits, while perturbations of caudal inferior and middle frontal gyri - which exhibit preparatory activity during conversational turn-taking - led to response errors. Perturbation of the same planning-related frontal regions slowed inter-speaker timing, while faster responses could result from stimulation of sites located in other areas. Taken together, these findings further indicate that caudal inferior and middle frontal gyri constitute a critical planning network essential for interactive language use.
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22
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Courellis HS, Mixha J, Cardenas AR, Kimmel D, Reed CM, Valiante TA, Salzman CD, Mamelak AN, Fusi S, Rutishauser U. Abstract representations emerge in human hippocampal neurons during inference behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.10.566490. [PMID: 37986878 PMCID: PMC10659400 DOI: 10.1101/2023.11.10.566490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Humans have the remarkable cognitive capacity to rapidly adapt to changing environments. Central to this capacity is the ability to form high-level, abstract representations that take advantage of regularities in the world to support generalization 1 . However, little is known about how these representations are encoded in populations of neurons, how they emerge through learning, and how they relate to behavior 2,3 . Here we characterized the representational geometry of populations of neurons (single-units) recorded in the hippocampus, amygdala, medial frontal cortex, and ventral temporal cortex of neurosurgical patients who are performing an inferential reasoning task. We find that only the neural representations formed in the hippocampus simultaneously encode multiple task variables in an abstract, or disentangled, format. This representational geometry is uniquely observed after patients learn to perform inference, and consisted of disentangled directly observable and discovered latent task variables. Interestingly, learning to perform inference by trial and error or through verbal instructions led to the formation of hippocampal representations with similar geometric properties. The observed relation between representational format and inference behavior suggests that abstract/disentangled representational geometries are important for complex cognition.
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23
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Harmata GI, Rhone AE, Kovach CK, Kumar S, Mowla MR, Sainju RK, Nagahama Y, Oya H, Gehlbach BK, Ciliberto MA, Mueller RN, Kawasaki H, Pattinson KT, Simonyan K, Davenport PW, Howard MA, Steinschneider M, Chan AC, Richerson GB, Wemmie JA, Dlouhy BJ. Failure to breathe persists without air hunger or alarm following amygdala seizures. JCI Insight 2023; 8:e172423. [PMID: 37788112 PMCID: PMC10721319 DOI: 10.1172/jci.insight.172423] [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: 05/24/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023] Open
Abstract
Postictal apnea is thought to be a major cause of sudden unexpected death in epilepsy (SUDEP). However, the mechanisms underlying postictal apnea are unknown. To understand causes of postictal apnea, we used a multimodal approach to study brain mechanisms of breathing control in 20 patients (ranging from pediatric to adult) undergoing intracranial electroencephalography for intractable epilepsy. Our results indicate that amygdala seizures can cause postictal apnea. Moreover, we identified a distinct region within the amygdala where electrical stimulation was sufficient to reproduce prolonged breathing loss persisting well beyond the end of stimulation. The persistent apnea was resistant to rising CO2 levels, and air hunger failed to occur, suggesting impaired CO2 chemosensitivity. Using es-fMRI, a potentially novel approach combining electrical stimulation with functional MRI, we found that amygdala stimulation altered blood oxygen level-dependent (BOLD) activity in the pons/medulla and ventral insula. Together, these findings suggest that seizure activity in a focal subregion of the amygdala is sufficient to suppress breathing and air hunger for prolonged periods of time in the postictal period, likely via brainstem and insula sites involved in chemosensation and interoception. They further provide insights into SUDEP, may help identify those at greatest risk, and may lead to treatments to prevent SUDEP.
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Affiliation(s)
- Gail I.S. Harmata
- Department of Neurosurgery
- Iowa Neuroscience Institute
- Pappajohn Biomedical Institute
- Interdisciplinary Graduate Program in Neuroscience
- Pharmacological Sciences Training Program
- Department of Psychiatry
| | | | | | | | | | | | | | - Hiroyuki Oya
- Department of Neurosurgery
- Iowa Neuroscience Institute
| | | | | | - Rashmi N. Mueller
- Department of Neurosurgery
- Department of Anesthesia, University of Iowa, Iowa City, Iowa, USA
| | | | - Kyle T.S. Pattinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Kristina Simonyan
- Department of Otolaryngology–Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, USA
| | - Paul W. Davenport
- Department of Physiological Sciences, University of Florida, Gainesville, Florida, USA
| | - Matthew A. Howard
- Department of Neurosurgery
- Iowa Neuroscience Institute
- Pappajohn Biomedical Institute
| | | | | | - George B. Richerson
- Iowa Neuroscience Institute
- Pappajohn Biomedical Institute
- Interdisciplinary Graduate Program in Neuroscience
- Department of Neurology
- Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, Iowa, USA
- Department of Veterans Affairs Medical Center, Iowa City, Iowa, USA
| | - John A. Wemmie
- Department of Neurosurgery
- Iowa Neuroscience Institute
- Pappajohn Biomedical Institute
- Interdisciplinary Graduate Program in Neuroscience
- Department of Psychiatry
- Department of Internal Medicine
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Veterans Affairs Medical Center, Iowa City, Iowa, USA
| | - Brian J. Dlouhy
- Department of Neurosurgery
- Iowa Neuroscience Institute
- Pappajohn Biomedical Institute
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24
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Rowland GE, Roeckner A, Ely TD, Lebois LAM, van Rooij SJH, Bruce SE, Jovanovic T, House SL, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Kurz MC, Gentile NT, Hudak LA, Pascual JL, Seamon MJ, Harris E, Pearson C, Merchant RC, Domeier RM, Rathlev NK, Sergot P, Sanchez LD, Miller MW, Pietrzak RH, Joormann J, Pizzagalli DA, Sheridan JF, Smoller JW, Harte SE, Elliott JM, Kessler RC, Koenen KC, McLean SA, Ressler KJ, Stevens JS, Harnett NG. Prior Sexual Trauma Exposure Impacts Posttraumatic Dysfunction and Neural Circuitry Following a Recent Traumatic Event in the AURORA Study. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:705-715. [PMID: 37881578 PMCID: PMC10593890 DOI: 10.1016/j.bpsgos.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
Background Prior sexual trauma (ST) is associated with greater risk for posttraumatic stress disorder after a subsequent traumatic event; however, the underlying neurobiological mechanisms remain opaque. We investigated longitudinal posttraumatic dysfunction and amygdala functional dynamics following admission to an emergency department for new primarily nonsexual trauma in participants with and without previous ST. Methods Participants (N = 2178) were recruited following acute trauma exposure (primarily motor vehicle collision). A subset (n = 242) completed magnetic resonance imaging that included a fearful faces task and a resting-state scan 2 weeks after the trauma. We investigated associations between prior ST and several dimensions of posttraumatic symptoms over 6 months. We further assessed amygdala activation and connectivity differences between groups with or without prior ST. Results Prior ST was associated with greater posttraumatic depression (F1,1120 = 28.35, p = 1.22 × 10-7, ηp2 = 0.06), anxiety (F1,1113 = 17.43, p = 3.21 × 10-5, ηp2 = 0.05), and posttraumatic stress disorder (F1,1027 = 11.34, p = 7.85 × 10-4, ηp2 = 0.04) severity and more maladaptive beliefs about pain (F1,1113 = 8.51, p = .004, ηp2 = 0.02) but was not related to amygdala reactivity to fearful versus neutral faces (all ps > .05). A secondary analysis revealed an interaction between ST and lifetime trauma load on the left amygdala to visual cortex connectivity (peak Z value: -4.41, corrected p < .02). Conclusions Findings suggest that prior ST is associated with heightened posttraumatic dysfunction following a new trauma exposure but not increased amygdala activity. In addition, ST may interact with lifetime trauma load to alter neural circuitry in visual processing regions following acute trauma exposure. Further research should probe the relationship between trauma type and visual circuitry in the acute aftermath of trauma.
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Affiliation(s)
- Grace E Rowland
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
| | - Alyssa Roeckner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Lauren A M Lebois
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, Missouri
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Francesca L Beaudoin
- Department of Epidemiology, Brown University, Providence, Rhode Island
- Department of Emergency Medicine, Brown University, Providence, Rhode Island
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Thomas C Neylan
- Department of Psychiatry, University of California, San Francisco, San Francisco, California
- Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Laura T Germine
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, Massachusetts
- TheMany Brains Project, Belmont, Massachusetts
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, McLean Hospital, Belmont, Massachusetts
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, Florida
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, Florida
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, New Jersey
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus, Ohio
- Ohio State University College of Nursing, Columbus, Ohio
| | - Michael C Kurz
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, Alabama
- Division of Acute Care Surgery, Department of Surgery, University of Alabama School of Medicine, Birmingham, Alabama
- Center for Injury Science, University of Alabama at Birmingham, Birmingham, Alabama
| | - Nina T Gentile
- Department of Emergency Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Jose L Pascual
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mark J Seamon
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Traumatology, Department of Surgery, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Erica Harris
- Einstein Medical Center, Philadelphia, Pennsylvania
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, Michigan
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Robert M Domeier
- Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, Michigan
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, Massachusetts
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, Texas
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts
| | - Mark W Miller
- National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Robert H Pietrzak
- National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, Connecticut
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
| | - John F Sheridan
- Division of Biosciences, Ohio State University College of Dentistry, Columbus, Ohio
- Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, Ohio
| | - Jordan W Smoller
- Department of Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts
| | - Steven E Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, Michigan
| | - James M Elliott
- Kolling Institute, University of Sydney, St. Leonards, New South Wales, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, New South Wales, Sydney, Australia
- Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Karestan C Koenen
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Samuel A McLean
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Psychiatry, Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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25
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Padulo C, Sestieri C, Punzi M, Picerni E, Chiacchiaretta P, Tullo MG, Granzotto A, Baldassarre A, Onofrj M, Ferretti A, Delli Pizzi S, Sensi SL. Atrophy of specific amygdala subfields in subjects converting to mild cognitive impairment. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2023; 9:e12436. [PMID: 38053753 PMCID: PMC10694338 DOI: 10.1002/trc2.12436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/09/2023] [Accepted: 10/23/2023] [Indexed: 12/07/2023]
Abstract
Introduction Accumulating evidence indicates that the amygdala exhibits early signs of Alzheimer's disease (AD) pathology. However, it is still unknown whether the atrophy of distinct subfields of the amygdala also participates in the transition from healthy cognition to mild cognitive impairment (MCI). Methods Our sample was derived from the AD Neuroimaging Initiative 3 and consisted of 97 cognitively healthy (HC) individuals, sorted into two groups based on their clinical follow-up: 75 who remained stable (s-HC) and 22 who converted to MCI within 48 months (c-HC). Anatomical magnetic resonance (MR) images were analyzed using a semi-automatic approach that combines probabilistic methods and a priori information from ex vivo MR images and histology to segment and obtain quantitative structural metrics for different amygdala subfields in each participant. Spearman's correlations were performed between MR measures and baseline and longitudinal neuropsychological measures. We also included anatomical measurements of the whole amygdala, the hippocampus, a key target of AD-related pathology, and the whole cortical thickness as a test of spatial specificity. Results Compared with s-HC individuals, c-HC subjects showed a reduced right amygdala volume, whereas no significant difference was observed for hippocampal volumes or changes in cortical thickness. In the amygdala subfields, we observed selected atrophy patterns in the basolateral nuclear complex, anterior amygdala area, and transitional area. Macro-structural alterations in these subfields correlated with variations of global indices of cognitive performance (measured at baseline and the 48-month follow-up), suggesting that amygdala changes shape the cognitive progression to MCI. Discussion Our results provide anatomical evidence for the early involvement of the amygdala in the preclinical stages of AD. Highlights Amygdala's atrophy marks elderly progression to mild cognitive impairment (MCI).Amygdala's was observed within the basolateral and amygdaloid complexes.Macro-structural alterations were associated with cognitive decline.No atrophy was found in the hippocampus and cortex.
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Affiliation(s)
- Caterina Padulo
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Department of HumanitiesUniversity of Naples Federico IINaplesItaly
| | - Carlo Sestieri
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Institute for Advanced Biomedical Technologies (ITAB)“G. d'Annunzio” University, Chieti‐PescaraChietiItaly
| | - Miriam Punzi
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Eleonora Picerni
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Piero Chiacchiaretta
- Department of Innovative Technologies in Medicine and Dentistry“G. d'Annunzio” University of Chieti‐Pescara, ChietiChietiItaly
- Advanced Computing CoreCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Maria Giulia Tullo
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Alberto Granzotto
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Antonello Baldassarre
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Marco Onofrj
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Antonio Ferretti
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Stefano Delli Pizzi
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
| | - Stefano L. Sensi
- Department of Neuroscience, Imaging, and Clinical SciencesUniversity “G. d'Annunzio” of Chieti‐PescaraChietiItaly
- Institute for Advanced Biomedical Technologies (ITAB)“G. d'Annunzio” University, Chieti‐PescaraChietiItaly
- Molecular Neurology UnitCenter for Advanced Studies and Technology (CAST)University “G. d'Annunzio” of Chieti‐PescaraChietiItaly
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26
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Wade B, Barbour T, Ellard K, Camprodon J. Predicting Dimensional Antidepressant Response to Repetitive Transcranial Magnetic Stimulation using Pretreatment Resting-state Functional Connectivity. RESEARCH SQUARE 2023:rs.3.rs-3204245. [PMID: 37609235 PMCID: PMC10441516 DOI: 10.21203/rs.3.rs-3204245/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression and has been shown to modulate resting-state functional connectivity (RSFC) of depression-relevant neural circuits. To date, however, few studies have investigated whether individual treatment-related symptom changes are predictable from pretreatment RSFC. We use machine learning to predict dimensional changes in depressive symptoms using pretreatment patterns of RSFC. We hypothesized that changes in dimensional depressive symptoms would be predicted more accurately than scale total scores. Patients with depression (n=26) underwent pretreatment RSFC MRI. Depressive symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HDRS-17). Random forest regression (RFR) models were trained and tested to predict treatment-related symptom changes captured by the HDRS-17, HDRS-6 and three previously identified HDRS subscales: core mood/anhedonia (CMA), somatic disturbances, and insomnia. Changes along the CMA, HDRS-17, and HDRS-6 were predicted significantly above chance, with 9%, 2%, and 2% of out-of-sample outcome variance explained, respectively (all p<0.01). CMA changes were predicted more accurately than the HDRS-17 (p<0.05). Higher baseline global connectivity (GC) of default mode network (DMN) subregions and the somatomotor network (SMN) predicted poorer symptom reduction, while higher GC of the right dorsal attention (DAN) frontoparietal control (FPCN), and visual networks (VN) predicted reduced CMA symptoms. HDRS-17 and HDRS-6 changes were predicted with similar GC patterns. These results suggest that RSFC spanning the DMN, SMN, DAN, FPCN, and VN subregions predict dimensional changes with greater accuracy than syndromal changes following rTMS. These findings highlight the need to assess more granular clinical dimensions in therapeutic studies, particularly device neuromodulation studies, and echo earlier studies supporting that dimensional outcomes improve model accuracy.
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27
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Man V, Cockburn J, Flouty O, Gander PE, Sawada M, Kovach CK, Kawasaki H, Oya H, Howard MA, O'Doherty JP. Temporally organized representations of reward and risk in the human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.09.539916. [PMID: 37214975 PMCID: PMC10197553 DOI: 10.1101/2023.05.09.539916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The value and uncertainty associated with choice alternatives constitute critical features along which decisions are made. While the neural substrates supporting reward and risk processing have been investigated, the temporal organization by which these computations are encoded remains elusive. Here we leverage the high spatiotemporal precision of intracranial electroencephalography (iEEG) to uncover how representations of decision-related computations unfold in time. We present evidence of locally distributed representations of reward and risk variables that are temporally organized across multiple regions of interest. Reward outcome representations across wide-spread regions follow a temporally cascading order along the anteroposterior axis of the brain. In contrast, expected value can be decoded from multiple regions at the same time, and error signals in both reward and risk domains reflect a mixture of sequential and parallel encoding. We highlight the role of the anterior insula in generalizing between reward prediction error (RePE) and risk prediction error (RiPE), within which the encoding of RePE in the distributed iEEG signal predicts RiPE. Together our results emphasize the utility of uncovering temporal dynamics in the human brain for understanding how computational processes critical for value-based decisions under uncertainty unfold.
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28
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Albazron FM, Trapp NT, Tranel D, Howard MA, Boes AD. Amygdala lesions are associated with improved mood after epilepsy surgery. Brain Struct Funct 2023; 228:1033-1038. [PMID: 36826513 PMCID: PMC10637769 DOI: 10.1007/s00429-023-02621-2] [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: 10/18/2022] [Accepted: 02/10/2023] [Indexed: 02/25/2023]
Abstract
Neuroimaging studies in healthy and clinical populations strongly associate the amygdala with emotion, especially negative emotions. The consequences of surgical resection of the amygdala on mood are not well characterized. We tested the hypothesis that amygdala resection would result in mood improvement. In this study, we evaluated a cohort of 52 individuals with medial temporal lobectomy for intractable epilepsy who had resections variably involving the amygdala. All individuals achieved good post-surgical seizure control and had pre- and post-surgery mood assessment with the Beck Depression Inventory (BDI) ratings. We manually segmented the surgical resection cavities and performed multivariate lesion-symptom mapping of change in BDI. Our results showed a significant improvement in average mood ratings from pre- to post-surgery across all patients. In partial support of our hypothesis, resection of the right amygdala was significantly associated with mood improvement (r = 0.5, p = 0.008). The lesion-symptom map also showed that resection of the right hippocampus and para-hippocampal gyrus was associated with worsened post-surgical mood. Future studies could evaluate this finding prospectively in larger samples while including other neuropsychological outcome measures.
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Affiliation(s)
- Fatimah M Albazron
- Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Nicholas T Trapp
- Department of Psychiatry, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Daniel Tranel
- Department of Neurology, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
- Department of Psychological and Brain Sciences, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Matthew A Howard
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Aaron D Boes
- Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Psychiatry, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Iowa Neuroscience Institute, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Neurology, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Departments of Pediatrics, Neurology, & Psychiatry, University of Iowa Hospitals and Clinics, W218 GH, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
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29
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Daume J, Kaminski J, Schjetnan AGP, Salimpour Y, Khan U, Reed C, Anderson W, Valiante TA, Mamelak AN, Rutishauser U. Control of working memory maintenance by theta-gamma phase amplitude coupling of human hippocampal neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.05.535772. [PMID: 37066145 PMCID: PMC10104113 DOI: 10.1101/2023.04.05.535772] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Retaining information in working memory (WM) is a demanding process that relies on cognitive control to protect memoranda-specific persistent activity from interference. How cognitive control regulates WM storage, however, remains unknown. We hypothesized that interactions of frontal control and hippocampal persistent activity are coordinated by theta-gamma phase amplitude coupling (TG-PAC). We recorded single neurons in the human medial temporal and frontal lobe while patients maintained multiple items in WM. In the hippocampus, TG-PAC was indicative of WM load and quality. We identified cells that selectively spiked during nonlinear interactions of theta phase and gamma amplitude. These PAC neurons were more strongly coordinated with frontal theta activity when cognitive control demand was high, and they introduced information-enhancing and behaviorally relevant noise correlations with persistently active neurons in the hippocampus. We show that TG-PAC integrates cognitive control and WM storage to improve the fidelity of WM representations and facilitate behavior.
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Affiliation(s)
- Jonathan Daume
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jan Kaminski
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Andrea G P Schjetnan
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, ON, Canada
| | - Yousef Salimpour
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Umais Khan
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Chrystal Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - William Anderson
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Taufik A Valiante
- Krembil Research Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, ON, Canada
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
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30
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Charbonneau JA, Bennett JL, Chau K, Bliss-Moreau E. Reorganization in the macaque interoceptive-allostatic network following anterior cingulate cortex damage. Cereb Cortex 2023; 33:4334-4349. [PMID: 36066407 PMCID: PMC10110454 DOI: 10.1093/cercor/bhac346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/14/2022] Open
Abstract
Accumulating evidence indicates that the adult brain is capable of significant structural change following damage-a capacity once thought to be largely limited to developing brains. To date, most existing research on adult plasticity has focused on how exteroceptive sensorimotor networks compensate for damage to preserve function. Interoceptive networks-those that represent and process sensory information about the body's internal state-are now recognized to be critical for a wide range of physiological and psychological functions from basic energy regulation to maintaining a sense of self, but the extent to which these networks remain plastic in adulthood has not been established. In this report, we used detailed histological analyses to pinpoint precise changes to gray matter volume in the interoceptive-allostatic network in adult rhesus monkeys (Macaca mulatta) who received neurotoxic lesions of the anterior cingulate cortex (ACC) and neurologically intact control monkeys. Relative to controls, monkeys with ACC lesions had significant and selective unilateral expansion of the ventral anterior insula and significant relative bilateral expansion of the lateral nucleus of the amygdala. This work demonstrates the capacity for neuroplasticity in the interoceptive-allostatic network which, given that changes included expansion rather than atrophy, is likely to represent an adaptive response following damage.
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Affiliation(s)
- Joey A Charbonneau
- Neuroscience Graduate Program, University of California Davis, 1544 Newton Court, Davis, CA 95618, United States
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Jeffrey L Bennett
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, 2230 Stockton Blvd, Sacramento, CA 95817, United States
- The MIND Institute, University of California Davis, 2825 50th Street, Sacramento, CA 95817, United States
| | - Kevin Chau
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Eliza Bliss-Moreau
- California National Primate Research Center, University of California Davis, One Shields Avenue, Davis, CA 95616, United States
- Department of Psychology, University of California Davis, 135 Young Hall One Shields Avenue, Davis, CA 95616, United States
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31
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Kaya B, Geha P, de Araujo I, Cioffi I, Moayedi M. Identification of central amygdala and trigeminal motor nucleus connectivity in humans: An ultra-high field diffusion MRI study. Hum Brain Mapp 2023; 44:1309-1319. [PMID: 36217737 PMCID: PMC9921240 DOI: 10.1002/hbm.26104] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/12/2022] [Accepted: 09/20/2022] [Indexed: 01/11/2023] Open
Abstract
The neuroanatomical circuitry of jaw muscles has been mostly explored in non-human animals. A recent rodent study revealed a novel circuit from the central amygdala (CeA) to the trigeminal motor nucleus (5M), which controls biting attacks. This circuit has yet to be delineated in humans. Ultra-high diffusion-weighted imaging data from the Human Connectome Project (HCP) allow in vivo delineation of circuits identified in other species-for example, the CeA-5M pathway-in humans. We hypothesized that the CeA-5M circuit could be resolved in humans at both 7 and 3 T. We performed probabilistic tractography between the CeA and 5M in 30 healthy young adults from the HCP database. As a negative control, we performed tractography between the basolateral amygdala (BLAT) and 5M, as CeA is the only amygdalar nucleus with extensive projections to the brainstem. Connectivity strength was operationalized as the number of streamlines between each region of interest. Connectivity strength between CeA-5M and BLAT-5M within each hemisphere was compared, and CeA-5M circuit had significantly stronger connectivity than the BLAT-5M circuit, bilaterally at both 7 T (all p < .001) and 3 T (all p < .001). This study is the first to delineate the CeA-5M circuit in humans.
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Affiliation(s)
- Batu Kaya
- Faculty of Dentistry, Centre for Multimodal Sensorimotor and Pain ResearchUniversity of TorontoTorontoOntarioCanada
- University of Toronto Centre for the Study of PainTorontoOntarioCanada
| | - Paul Geha
- Department of Psychiatry, School of Medicine and DentistryUniversity of RochesterRochesterNew YorkUSA
- The Del Monte Institute of NeuroscienceRochesterNew YorkUSA
| | - Ivan de Araujo
- Nash Family Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Iacopo Cioffi
- Faculty of Dentistry, Centre for Multimodal Sensorimotor and Pain ResearchUniversity of TorontoTorontoOntarioCanada
- University of Toronto Centre for the Study of PainTorontoOntarioCanada
- Department of DentistryMount Sinai HospitalTorontoOntarioCanada
| | - Massieh Moayedi
- Faculty of Dentistry, Centre for Multimodal Sensorimotor and Pain ResearchUniversity of TorontoTorontoOntarioCanada
- University of Toronto Centre for the Study of PainTorontoOntarioCanada
- Department of DentistryMount Sinai HospitalTorontoOntarioCanada
- Clinical & Computational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
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32
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Naqvi NH, Srivastava AB, Sanchez-Peña J, Lee J, Mariani JJ, Patel GH, Levin FR. Neural correlates of drinking reduction during cognitive behavioral therapy for alcohol use disorder. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.08.527703. [PMID: 36798260 PMCID: PMC9934652 DOI: 10.1101/2023.02.08.527703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Cognitive behavioral therapy (CBT) is an effective treatment for alcohol use disorder (AUD). We hypothesized that the dorsolateral prefrontal cortex (DLPFC), a brain region implicated in cognitive control and goal-directed behavior, plays a role behavior change during CBT by facilitating regulation of craving. To examine this, treatment-seeking participants with AUD (N=22) underwent functional MRI scanning both before and after a 12-week single-arm trial of CBT, using a regulation of craving (ROC) fMRI task designed to measure an individual's ability to control alcohol craving and previously shown to engage the DLPFC. We found that both the number of heavy drinking days (NHDD, the primary clinical outcome) and the self-reported alcohol craving measured during the ROC paradigm were significantly reduced from pre- to post-CBT [NHDD: t=15.69, p<0.0001; alcohol craving: (F(1,21)=16.16; p=0.0006)]. Contrary to our hypothesis, there was no change in regulation effects on self-reported craving over time (F(1,21)=0.072; p=0.79), nor was there was a significant change in regulation effects over time on activity in any parcel. Searching the whole brain for neural correlates of reductions in drinking and craving after CBT, we found a significant 3-way interaction between the effects of cue-induced alcohol craving, cue-induced brain activity and timepoint of assessment (pre- or post-CBT) on NHDD in a parcel corresponding to area 46 of the right DLPFC (ß=-0.37, p=0.046, FDR corrected). Follow-up analyses showed that reductions in cue-induced alcohol craving from pre- to post-CBT were linearly related to reductions in alcohol cue-induced activity in area 46 only among participants who ceased heavy drinking during CBT (r=0.81, p=0.005) but not among those who continued to drink heavily (r=0.28, p=0.38). These results are consistent with a model in which CBT impacts heavy drinking by increasing the engagement of the DLPFC during cue-induced craving.
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33
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Kirk-Provencher KT, Penner AE, McRae K, Gowin JL. Emotion regulation in young adults with family history of harmful alcohol use: A fMRI study. Drug Alcohol Depend 2023; 243:109752. [PMID: 36610254 PMCID: PMC9875721 DOI: 10.1016/j.drugalcdep.2022.109752] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/31/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Alcohol use disorder is associated with difficulties in emotion regulation and cognitive reappraisal. Family history of harmful alcohol use increases risk of substance use disorders, but no studies have examined whether family history is associated with altered neural activation during cognitive reappraisal relative to passive viewing of negative images in a sample of young adults without current substance use disorders. METHODS Participants (N = 75 with positive [n = 31] or negative [n = 44] family histories of harmful alcohol use) completed the emotion regulation task during an MRI scan, and the Emotion Regulation Questionnaire to assess use of emotion regulation and suppression strategies. Whole-brain analyses and amygdala region of interest analyses using linear mixed-effects models assessed family history group and cue effects on neural activation during the task. RESULTS The groups did not differ on trait reappraisal, suppression, or negative emotion following reappraisal. In general, group effects in whole-brain and amygdala activation during the cognitive reappraisal contrast indicated small effect sizes (2.2% of voxels had d>0.20) that were not significantly different. Participants with positive family histories engaged the right middle and superior frontal gyri to a greater extent than participants with negative family histories during the decrease-negative cue (t = 4.14, p = .001). CONCLUSIONS For at-risk young adults without current harmful substance use, family history of harmful alcohol use does not appear to be associated with disrupted emotion regulation when instructed to apply cognitive reappraisal. Reappraisal may be a feasible therapeutic target for those who develop a substance use disorder with associated emotion dysregulation.
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Affiliation(s)
- Katelyn T Kirk-Provencher
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States.
| | - Anne E Penner
- Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, 13001 E. 17th Place, Aurora, CO 80045, United States.
| | - Kateri McRae
- Department of Psychology, University of Denver, 2155S. Race Street, Denver, CO 80208, United States.
| | - Joshua L Gowin
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, United States.
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Pool ER, Pauli WM, Cross L, O'Doherty JP. Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525637. [PMID: 36747799 PMCID: PMC9901183 DOI: 10.1101/2023.01.26.525637] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Pavlovian learning depends on multiple and parallel associations leading to distinct classes of conditioned responses that vary in their flexibility following changes in the value of an associated outcome. Here, we aimed to differentiate brain areas involved in learning and encoding associations that are sensitive to changes in the value of an outcome from those that are not sensitive to such changes. To address this question, we combined a Pavlovian learning task with outcome devaluation, eye-tracking and functional magnetic resonance imaging. We used computational modeling to identify brain regions involved in learning stimulus-reward associations and stimulus-stimulus associations, by testing for brain areas correlating with reward-prediction errors and state-prediction errors, respectively. We found that, contrary to theoretical predictions about reward prediction errors being exclusively model-free, voxels correlating with reward prediction errors in the ventral striatum and subgenual anterior cingulate cortex were sensitive to devaluation. On the other hand, brain areas correlating with state prediction errors were found to be devaluation insensitive. In a supplementary analysis, we distinguished brain regions encoding predictions about outcome taste identity from those involved in encoding predictions about its expected spatial location. A subset of regions involved in taste identity predictions were devaluation sensitive while those involved in encoding predictions about spatial location were devaluation insensitive. These findings provide insights into the role of multiple associative mechanisms in the brain in mediating Pavlovian conditioned behavior - illustrating how distinct neural pathways can in parallel produce both devaluation sensitive and devaluation insensitive behaviors.
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35
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Casamitjana A, Iglesias JE. High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning. Neuroimage 2022; 263:119616. [PMID: 36084858 DOI: 10.1016/j.neuroimage.2022.119616] [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: 03/29/2022] [Revised: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
This paper reviews almost three decades of work on atlasing and segmentation methods for subcortical structures in human brain MRI. In writing this survey, we have three distinct aims. First, to document the evolution of digital subcortical atlases of the human brain, from the early MRI templates published in the nineties, to the complex multi-modal atlases at the subregion level that are available today. Second, to provide a detailed record of related efforts in the automated segmentation front, from earlier atlas-based methods to modern machine learning approaches. And third, to present a perspective on the future of high-resolution atlasing and segmentation of subcortical structures in in vivo human brain MRI, including open challenges and opportunities created by recent developments in machine learning.
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Affiliation(s)
- Adrià Casamitjana
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK.
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA
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36
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Kim MJ, Knodt AR, Hariri AR. Meta-analytic activation maps can help identify affective processes captured by contrast-based task fMRI: the case of threat-related facial expressions. Soc Cogn Affect Neurosci 2022; 17:777-787. [PMID: 35137241 PMCID: PMC9433847 DOI: 10.1093/scan/nsac010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 10/30/2021] [Accepted: 02/07/2022] [Indexed: 12/02/2022] Open
Abstract
Meta-analysis of functional magnetic resonance imaging (fMRI) data is an effective method for capturing the distributed patterns of brain activity supporting discrete cognitive and affective processes. One opportunity presented by the resulting meta-analysis maps (MAMs) is as a reference for better understanding the nature of individual contrast maps (ICMs) derived from specific task fMRI data. Here, we compared MAMs from 148 neuroimaging studies representing emotion categories of fear, anger, disgust, happiness and sadness with ICMs from fearful > neutral and angry > neutral faces from an independent dataset of task fMRI (n = 1263). Analyses revealed that both fear and anger ICMs exhibited the greatest pattern similarity to fear MAMs. As the number of voxels included for the computation of pattern similarity became more selective, the specificity of MAM-ICM correspondence decreased. Notably, amygdala activity long considered critical for processing threat-related facial expressions was neither sufficient nor necessary for detecting MAM-ICM pattern similarity effects. Our analyses suggest that both fearful and angry facial expressions are best captured by distributed patterns of brain activity, a putative neural correlate of threat. More generally, our analyses demonstrate how MAMs can be leveraged to better understand affective processes captured by ICMs in task fMRI data.
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Affiliation(s)
- M Justin Kim
- Department of Psychology, Sungkyunkwan University, Seoul 03063, South Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon 16419, South Korea, and
| | - Annchen R Knodt
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC 27708 USA
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC 27708 USA
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37
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Sawada M, Adolphs R, Dlouhy BJ, Jenison RL, Rhone AE, Kovach CK, Greenlee JDW, Howard Iii MA, Oya H. Mapping effective connectivity of human amygdala subdivisions with intracranial stimulation. Nat Commun 2022; 13:4909. [PMID: 35987994 PMCID: PMC9392722 DOI: 10.1038/s41467-022-32644-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 08/08/2022] [Indexed: 01/21/2023] Open
Abstract
The primate amygdala is a complex consisting of over a dozen nuclei that have been implicated in a host of cognitive functions, individual differences, and psychiatric illnesses. These functions are implemented through distinct connectivity profiles, which have been documented in animals but remain largely unknown in humans. Here we present results from 25 neurosurgical patients who had concurrent electrical stimulation of the amygdala with intracranial electroencephalography (electrical stimulation tract-tracing; es-TT), or fMRI (electrical stimulation fMRI; es-fMRI), methods providing strong inferences about effective connectivity of amygdala subdivisions with the rest of the brain. We quantified functional connectivity with medial and lateral amygdala, the temporal order of these connections on the timescale of milliseconds, and also detail second-order effective connectivity among the key nodes. These findings provide a uniquely detailed characterization of human amygdala functional connectivity that will inform functional neuroimaging studies in healthy and clinical populations.
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Affiliation(s)
- Masahiro Sawada
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Neurosurgery, Tazuke Kofukai Medical Research Institute and Kitano Hospital, Osaka, Japan
| | - Ralph Adolphs
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Brian J Dlouhy
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
| | - Rick L Jenison
- Department of Neuroscience, University of Wisconsin - Madison, Madison, WI, USA
| | - Ariane E Rhone
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Christopher K Kovach
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Jeremy D W Greenlee
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
| | - Matthew A Howard Iii
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA
- Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA, USA
| | - Hiroyuki Oya
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
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38
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Immature excitatory neurons in the amygdala come of age during puberty. Dev Cogn Neurosci 2022; 56:101133. [PMID: 35841648 PMCID: PMC9289873 DOI: 10.1016/j.dcn.2022.101133] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/23/2022] [Accepted: 07/08/2022] [Indexed: 11/21/2022] Open
Abstract
The human amygdala is critical for emotional learning, valence coding, and complex social interactions, all of which mature throughout childhood, puberty, and adolescence. Across these ages, the amygdala paralaminar nucleus (PL) undergoes significant structural changes including increased numbers of mature neurons. The PL contains a large population of immature excitatory neurons at birth, some of which may continue to be born from local progenitors. These progenitors disappear rapidly in infancy, but the immature neurons persist throughout childhood and adolescent ages, indicating that they develop on a protracted timeline. Many of these late-maturing neurons settle locally within the PL, though a small subset appear to migrate into neighboring amygdala subnuclei. Despite its prominent growth during postnatal life and possible contributions to multiple amygdala circuits, the function of the PL remains unknown. PL maturation occurs predominately during late childhood and into puberty when sex hormone levels change. Sex hormones can promote developmental processes such as neuron migration, dendritic outgrowth, and synaptic plasticity, which appear to be ongoing in late-maturing PL neurons. Collectively, we describe how the growth of late-maturing neurons occurs in the right time and place to be relevant for amygdala functions and neuropsychiatric conditions.
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39
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Cockburn J, Man V, Cunningham W, O'Doherty JP. Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain. Neuron 2022; 110:2691-2702.e8. [PMID: 35809575 DOI: 10.1016/j.neuron.2022.05.025] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/18/2022] [Accepted: 05/27/2022] [Indexed: 11/17/2022]
Abstract
Both novelty and uncertainty are potent features guiding exploration; however, they are often experimentally conflated, and an understanding of how they interact to regulate the balance between exploration and exploitation has proved elusive. Using a task designed to decouple the influence of novelty and uncertainty, we identify separable mechanisms through which exploration is directed. We show that uncertainty-directed exploration is sensitive to the prospective benefit offered by new information, whereas novelty-directed exploration is maintained regardless of its potential advantage. Using a computational framework in conjunction with fMRI, we show that uncertainty-directed choice is rooted in an adaptive bias indexing the prospective utility of exploration. In contrast, novelty persistently promotes exploration by optimistically inflating reward expectations while simultaneously dampening uncertainty signals. Our results identify separable neural substrates charged with balancing the explore/exploit trade-off to foster a manageable decomposition of an otherwise intractable problem.
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Affiliation(s)
- Jeffrey Cockburn
- Division of Humanities and Social Sciences, Caltech, Pasadena, CA, USA.
| | - Vincent Man
- Division of Humanities and Social Sciences, Caltech, Pasadena, CA, USA
| | | | - John P O'Doherty
- Division of Humanities and Social Sciences, Caltech, Pasadena, CA, USA
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40
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Hur J, Kuhn M, Grogans SE, Anderson AS, Islam S, Kim HC, Tillman RM, Fox AS, Smith JF, DeYoung KA, Shackman AJ. Anxiety-Related Frontocortical Activity Is Associated With Dampened Stressor Reactivity in the Real World. Psychol Sci 2022; 33:906-924. [PMID: 35657777 PMCID: PMC9343891 DOI: 10.1177/09567976211056635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 09/28/2021] [Indexed: 01/18/2023] Open
Abstract
Negative affect is a fundamental dimension of human emotion. When extreme, it contributes to a variety of adverse outcomes, from physical and mental illness to divorce and premature death. Mechanistic work in animals and neuroimaging research in humans and monkeys have begun to reveal the broad contours of the neural circuits governing negative affect, but the relevance of these discoveries to everyday distress remains incompletely understood. Here, we used a combination of approaches-including neuroimaging assays of threat anticipation and emotional-face perception and more than 10,000 momentary assessments of emotional experience-to demonstrate that individuals who showed greater activation in a cingulo-opercular circuit during an anxiety-eliciting laboratory paradigm experienced lower levels of stressor-dependent distress in their daily lives (ns = 202-208 university students). Extended amygdala activation was not significantly related to momentary negative affect. These observations provide a framework for understanding the neurobiology of negative affect in the laboratory and in the real world.
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Affiliation(s)
- Juyoen Hur
- Department of Psychology, Yonsei
University
| | - Manuel Kuhn
- Center for Depression, Anxiety
and Stress Research, McLean Hospital, Harvard Medical School, Harvard
University
| | | | | | - Samiha Islam
- Department of Psychology,
University of Pennsylvania
| | - Hyung Cho Kim
- Department of Psychology,
University of Maryland
- Neuroscience and Cognitive
Science Program, University of Maryland
| | | | - Andrew S. Fox
- Department of Psychology,
University of California, Davis
- California National Primate
Research Center, University of California, Davis
| | | | | | - Alexander J. Shackman
- Department of Psychology,
University of Maryland
- Neuroscience and Cognitive
Science Program, University of Maryland
- Maryland Neuroimaging Center,
University of Maryland, College Park
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41
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Abstract
Past research on the brain correlates of trait anger has been limited by small sample sizes, a focus on relatively few regions-of-interest, and poor test-retest reliability of functional brain measures. To address these limitations, we conducted a data-driven analysis of variability in connectome-wide functional connectivity in a sample of 1,048 young adult volunteers. Multi-dimensional matrix regression analysis showed that self-reported trait anger maps onto variability in the whole-brain functional connectivity patterns of three brain regions that serve action-related functions: bilateral supplementary motor area (SMA) and the right lateral frontal pole. We then demonstrate trait anger modulates the functional connectivity of these regions with canonical brain networks supporting somatomotor, affective, self-referential, and visual information processes. Our findings offer novel neuroimaging evidence for interpreting trait anger as a greater propensity to provoked action, supporting ongoing efforts to understand its utility as a potential transdiagnostic marker for disordered states characterized by aggressive behavior.
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Affiliation(s)
- M. Justin Kim
- Department of Psychology, Sungkyunkwan University, Seoul, South Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Maxwell L. Elliott
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, USA
| | - Annchen R. Knodt
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, USA
| | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, USA
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42
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Namkung H, Thomas KL, Hall J, Sawa A. Parsing neural circuits of fear learning and extinction across basic and clinical neuroscience: Towards better translation. Neurosci Biobehav Rev 2022; 134:104502. [PMID: 34921863 DOI: 10.1016/j.neubiorev.2021.12.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 12/22/2022]
Abstract
Over the past decades, studies of fear learning and extinction have advanced our understanding of the neurobiology of threat and safety learning. Animal studies can provide mechanistic/causal insights into human brain regions and their functional connectivity involved in fear learning and extinction. Findings in humans, conversely, may further enrich our understanding of neural circuits in animals by providing macroscopic insights at the level of brain-wide networks. Nevertheless, there is still much room for improvement in translation between basic and clinical research on fear learning and extinction. Through the lens of neural circuits, in this article, we aim to review the current knowledge of fear learning and extinction in both animals and humans, and to propose strategies to fill in the current knowledge gap for the purpose of enhancing clinical benefits.
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Affiliation(s)
- Ho Namkung
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Kerrie L Thomas
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK; School of Biosciences, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK; School of Medicine, Cardiff University, Cardiff, UK
| | - Akira Sawa
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21287, USA.
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43
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Campbell CE, Mezher AF, Tyszka JM, Nagel BJ, Eckel SP, Herting MM. Associations between testosterone, estradiol, and androgen receptor genotype with amygdala subregions in adolescents. Psychoneuroendocrinology 2022; 137:105604. [PMID: 34971856 PMCID: PMC8925279 DOI: 10.1016/j.psyneuen.2021.105604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 10/19/2022]
Abstract
Much is known about the development of the whole amygdala, but less is known about its structurally and functionally diverse subregions. One notable distinguishing feature is their wide range of androgen and estrogen receptor densities. Given the rise in pubertal hormones during adolescence, sex steroid levels as well as receptor sensitivity could influence age-related subregion volumes. Therefore, our goal was to evaluate the associations between the total amygdala and its subregion volumes in relation to sex hormones - estradiol and free testosterone (FT) - as a function of age and genetic differences in androgen receptor (AR) sensitivity in a sample of 297 adolescents (46% female). In males, we found small effects of FT-by-age interactions in the total amygdala, portions of the basolateral complex, and the cortical and medial nuclei (CMN), with the CMN effects being moderated by AR sensitivity. For females, small effects were seen with increased genetic AR sensitivity relating to smaller basolateral complexes. However, none of these small effects passed multiple comparisons. Future larger studies are necessary to replicate these small, yet possibly meaningful effects of FT-by-age associations and modulation by AR sensitivity on amygdala development to ultimately determine if they contribute to known sex differences in emotional neurodevelopment.
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Affiliation(s)
- Claire E. Campbell
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA 90033,Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA 90089-2520
| | - Adam F. Mezher
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA 90033,Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA 90089-2520
| | - J. Michael Tyszka
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, California, USA 91125
| | - Bonnie J. Nagel
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA 97239-3098
| | - Sandrah P. Eckel
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA 90033
| | - Megan M. Herting
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, California, USA 90033
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44
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Lapate RC, Ballard IC, Heckner MK, D'Esposito M. Emotional Context Sculpts Action Goal Representations in the Lateral Frontal Pole. J Neurosci 2022; 42:1529-1541. [PMID: 34969868 PMCID: PMC8883870 DOI: 10.1523/jneurosci.1522-21.2021] [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: 07/25/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 11/21/2022] Open
Abstract
Emotional states provide an ever-present source of contextual information that should inform behavioral goals. Despite the ubiquity of emotional signals in our environment, the neural mechanisms underlying their influence on goal-directed action remains unclear. Prior work suggests that the lateral frontal pole (FPl) is uniquely positioned to integrate affective information into cognitive control representations. We used pattern similarity analysis to examine the content of representations in FPl and interconnected mid-lateral prefrontal and amygdala circuitry. Healthy participants (n = 37; n = 21 females) were scanned while undergoing an event-related Affective Go/No-Go task, which requires goal-oriented action selection during emotional processing. We found that FPl contained conjunctive emotion-action goal representations that were related to successful cognitive control during emotional processing. These representations differed from conjunctive emotion-action goal representations found in the basolateral amygdala. While robust action goal representations were present in mid-lateral prefrontal cortex, they were not modulated by emotional valence. Finally, converging results from functional connectivity and multivoxel pattern analyses indicated that FPl emotional valence signals likely originated from interconnected subgenual anterior cingulate cortex (ACC) (BA25), which was in turn functionally coupled with the amygdala. Thus, our results identify a key pathway by which internal emotional states influence goal-directed behavior.SIGNIFICANCE STATEMENT Optimal functioning in everyday life requires behavioral regulation that flexibly adapts to dynamically changing emotional states. However, precisely how emotional states influence goal-directed action remains unclear. Unveiling the neural architecture that supports emotion-goal integration is critical for our understanding of disorders such as psychopathy, which is characterized by deficits in incorporating emotional cues into goals, as well as mood and anxiety disorders, which are characterized by impaired goal-based emotion regulation. Our study identifies a key circuit through which emotional states influence goal-directed behavior. This circuitry comprised the lateral frontal pole (FPl), which represented integrated emotion-goal information, as well as interconnected amygdala and subgenual ACC, which conveyed emotional signals to FPl.
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Affiliation(s)
- Regina C Lapate
- Department of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, California 93106
| | - Ian C Ballard
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California 94720
| | - Marisa K Heckner
- Institute of Neuroscience and Medicine, Research Centre Jülich, 52428 Jülich, Germany
| | - Mark D'Esposito
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California 94720
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45
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Castellucci GA, Kovach CK, Howard MA, Greenlee JDW, Long MA. A speech planning network for interactive language use. Nature 2022; 602:117-122. [PMID: 34987226 PMCID: PMC9990513 DOI: 10.1038/s41586-021-04270-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/19/2021] [Indexed: 11/09/2022]
Abstract
During conversation, people take turns speaking by rapidly responding to their partners while simultaneously avoiding interruption1,2. Such interactions display a remarkable degree of coordination, as gaps between turns are typically about 200 milliseconds3-approximately the duration of an eyeblink4. These latencies are considerably shorter than those observed in simple word-production tasks, which indicates that speakers often plan their responses while listening to their partners2. Although a distributed network of brain regions has been implicated in speech planning5-9, the neural dynamics underlying the specific preparatory processes that enable rapid turn-taking are poorly understood. Here we use intracranial electrocorticography to precisely measure neural activity as participants perform interactive tasks, and we observe a functionally and anatomically distinct class of planning-related cortical dynamics. We localize these responses to a frontotemporal circuit centred on the language-critical caudal inferior frontal cortex10 (Broca's region) and the caudal middle frontal gyrus-a region not normally implicated in speech planning11-13. Using a series of motor tasks, we then show that this planning network is more active when preparing speech as opposed to non-linguistic actions. Finally, we delineate planning-related circuitry during natural conversation that is nearly identical to the network mapped with our interactive tasks, and we find this circuit to be most active before participant speech during unconstrained turn-taking. Therefore, we have identified a speech planning network that is central to natural language generation during social interaction.
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Affiliation(s)
- Gregg A Castellucci
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY, USA
- Center for Neural Science, New York University, New York, NY, USA
| | | | - Matthew A Howard
- Department of Neurosurgery, University of Iowa, Iowa City, IA, USA
| | | | - Michael A Long
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY, USA.
- Center for Neural Science, New York University, New York, NY, USA.
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46
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Seguin D, Khan AR, Duerden EG. Three-Dimensional Atlas of the Human Amygdala Subnuclei Constructed Using Immunohistochemical and Ultrahigh-Field Magnetic Resonance Imaging Data. Methods Mol Biol 2022; 2515:227-236. [PMID: 35776355 DOI: 10.1007/978-1-0716-2409-8_14] [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] [Indexed: 06/15/2023]
Abstract
The amygdala is central for social and emotional processing and has been implicated in various disorders including autism spectrum disorder (ASD) and Alzheimer's disease (AD). Animal research and some limited research with humans has indicated that widespread alterations in neuronal development or neuronal loss in the basolateral and other amygdala subnuclei may be a contributing factor to variations in social behaviours. Yet, the basolateral amygdala is comprised of three subnuclei, each with a specialized role related to the coordination of emotional regulation. Due to their small size, the nuclei which comprise the basolateral amygdala remain understudied in humans in vivo. In this work, we describe methodology to examine the basolateral amygdala and other subnuclei in human ex vivo medial temporal lobe prosections using ultrahigh-field magnetic resonance imaging (MRI) at 9.4 T. Manual segmentations of the amygdala subnuclei on MR images, verified with immunohistochemical data, provide a robust three-dimensional atlas of the human amygdala. The goal is to apply the atlas to in vivo MRI scans to examine basolateral amygdala macrostructural development attributed to social cognitive dysfunction in ASD and other neurodevelopmental disorders. Furthermore, the atlas can be used to examine MRI-based correlates of neuronal loss commonly seen in neurodegenerative disorders.
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Affiliation(s)
- Diane Seguin
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Ali R Khan
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Emma G Duerden
- Applied Psychology, Faculty of Education, Western University, London, ON, Canada.
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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47
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Domínguez-Borràs J, Vuilleumier P. Amygdala function in emotion, cognition, and behavior. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:359-380. [PMID: 35964983 DOI: 10.1016/b978-0-12-823493-8.00015-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The amygdala is a core structure in the anterior medial temporal lobe, with an important role in several brain functions involving memory, emotion, perception, social cognition, and even awareness. As a key brain structure for saliency detection, it triggers and controls widespread modulatory signals onto multiple areas of the brain, with a great impact on numerous aspects of adaptive behavior. Here we discuss the neural mechanisms underlying these functions, as established by animal and human research, including insights provided in both healthy and pathological conditions.
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Affiliation(s)
- Judith Domínguez-Borràs
- Department of Clinical Psychology and Psychobiology & Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Patrik Vuilleumier
- Department of Neuroscience and Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
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48
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Brun G, Testud B, Girard OM, Lehmann P, de Rochefort L, Besson P, Massire A, Ridley B, Girard N, Guye M, Ranjeva JP, Le Troter A. Automatic segmentation of Deep Grey Nuclei using a high-resolution 7T MRI Atlas - quantification of T1 values in healthy volunteers. Eur J Neurosci 2021; 55:438-460. [PMID: 34939245 DOI: 10.1111/ejn.15575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 12/17/2021] [Accepted: 12/18/2021] [Indexed: 11/30/2022]
Abstract
We present a new consensus atlas of deep grey nuclei obtained by shape-based averaging of manual segmentation of two experienced neuroradiologists and optimized from 7T MP2RAGE images acquired at (0.6mm)3 in 60 healthy subjects. A group-wise normalization method was used to build a high-contrast and high-resolution T1 -weighted brain template (0.5mm)3 using data from 30 out of the 60 controls. Delineation of 24 deep grey nuclei per hemisphere, including the claustrum and twelve thalamic nuclei, was then performed by two expert neuroradiologists and reviewed by a third neuroradiologist according to tissue contrast and external references based on the Morel atlas. Corresponding deep grey matter structures were also extracted from the Morel and CIT168 atlases. The data-derived, Morel and CIT168 atlases were all applied at the individual level using non-linear registration to fit the subject reference and to extract absolute mean quantitative T1 values derived from the 3D-MP2RAGE volumes, after correction for residual B1 + biases. Three metrics (The Dice and the volumetric similarity coefficients, and a novel Hausdorff distance) were used to estimate the inter-rater agreement of manual MRI segmentation and inter-atlas variability, and these metrics were measured to quantify biases due to image registration and their impact on the measurements of the quantitative T1 values was highlighted. This represents a fully-automated segmentation process permitting the extraction of unbiased normative T1 values in a population of young healthy controls as a reference for characterizing subtle structural alterations of deep grey nuclei relevant to a range of neurological diseases.
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Affiliation(s)
- Gilles Brun
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, Service de Neuroradiologie, Marseille, France
| | - Benoit Testud
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, Service de Neuroradiologie, Marseille, France
| | - Olivier M Girard
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Pierre Lehmann
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, Service de Neuroradiologie, Marseille, France
| | - Ludovic de Rochefort
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Pierre Besson
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Aurélien Massire
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Ben Ridley
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italia
| | - Nadine Girard
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, Service de Neuroradiologie, Marseille, France
| | - Maxime Guye
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
| | - Arnaud Le Troter
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle d'Imagerie Médicale, CEMEREM, Marseille, France
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49
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Makhalova J, Le Troter A, Aubert-Conil S, Giusiano B, McGonigal A, Trebuchon A, Carron R, Medina Villalon S, Bénar CG, Ranjeva JP, Guye M, Bartolomei F. Epileptogenic networks in drug-resistant epilepsy with amygdala enlargement: Assessment with stereo-EEG and 7 T MRI. Clin Neurophysiol 2021; 133:94-103. [PMID: 34826646 DOI: 10.1016/j.clinph.2021.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/02/2021] [Accepted: 10/04/2021] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Amygdala enlargement is increasingly described in association with temporal lobe epilepsies. Its significance, however, remains uncertain both in terms of etiology and its link with psychiatric disorders and of its involvement in the epileptogenic zone. We assessed the epileptogenic networks underlying drug-resistant epilepsy with amygdala enlargement and investigated correlations between clinical features, epileptogenicity and morphovolumetric amygdala characteristics. METHODS We identified 12 consecutive patients suffering from drug-resistant epilepsy with visually suspected amygdala enlargement and available stereoelectroencephalographic recording. The epileptogenic zone was defined using the Connectivity Epileptogenicity Index. Morphovolumetric measurements were performed using automatic segmentation and co-registration on the 7TAMIbrain Amygdala atlas. RESULTS The epileptogenic zone involved the enlarged amygdala in all but three cases and corresponded to distributed, temporal-insular, temporal-insular-prefrontal or prefrontal-temporal networks in ten cases, while only two were temporo-mesial networks. Morphovolumetrically, amygdala enlargement was bilateral in 75% of patients. Most patients presented psychiatric comorbidities (anxiety, depression, posttraumatic stress disorder). The level of depression defined by screening questionnaire was positively correlated with the extent of amygdala enlargement. CONCLUSIONS Drug-resistant epilepsy with amygdala enlargement is heterogeneous; most cases implied "temporal plus" networks. SIGNIFICANCE The enlarged amygdala could reflect an interaction of stress-mediated limbic network alterations and mechanisms of epileptogenesis.
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Affiliation(s)
- Julia Makhalova
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Timone Hospital, CEMEREM, Marseille, France
| | - Arnaud Le Troter
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Timone Hospital, CEMEREM, Marseille, France
| | | | - Bernard Giusiano
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Aileen McGonigal
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Agnès Trebuchon
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Romain Carron
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France; APHM, Timone Hospital, Functional and Stereotactic Neurosurgery, Marseille, France
| | - Samuel Medina Villalon
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Christian G Bénar
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Jean-Philippe Ranjeva
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Timone Hospital, CEMEREM, Marseille, France
| | - Maxime Guye
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Timone Hospital, CEMEREM, Marseille, France
| | - Fabrice Bartolomei
- APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
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Basolateral and central amygdala orchestrate how we learn whom to trust. Commun Biol 2021; 4:1329. [PMID: 34824373 PMCID: PMC8617284 DOI: 10.1038/s42003-021-02815-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 10/20/2021] [Indexed: 11/08/2022] Open
Abstract
Cooperation and mutual trust are essential in our society, yet not everybody is trustworthy. In this fMRI study, 62 healthy volunteers performed a repeated trust game, placing trust in a trustworthy or an untrustworthy player. We found that the central amygdala was active during trust behavior planning while the basolateral amygdala was active during outcome evaluation. When planning the trust behavior, central and basolateral amygdala activation was stronger for the untrustworthy player compared to the trustworthy player but only in participants who actually learned to differentiate the trustworthiness of the players. Independent of learning success, nucleus accumbens encoded whether trust was reciprocated. This suggests that learning whom to trust is not related to reward processing in the nucleus accumbens, but rather to engagement of the amygdala. Our study overcomes major empirical gaps between animal models and human neuroimaging and shows how different subnuclei of the amygdala and connected areas orchestrate learning to form different subjective trustworthiness beliefs about others and guide trust choice behavior.
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