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Busch EL, Rapuano KM, Anderson KM, Rosenberg MD, Watts R, Casey BJ, Haxby JV, Feilong M. Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development. J Neurosci 2024; 44:e0735232023. [PMID: 38148152 PMCID: PMC10866091 DOI: 10.1523/jneurosci.0735-23.2023] [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: 03/14/2023] [Revised: 10/09/2023] [Accepted: 11/16/2023] [Indexed: 12/28/2023] Open
Abstract
The functional connectome supports information transmission through the brain at various spatial scales, from exchange between broad cortical regions to finer-scale, vertex-wise connections that underlie specific information processing mechanisms. In adults, while both the coarse- and fine-scale functional connectomes predict cognition, the fine scale can predict up to twice the variance as the coarse-scale functional connectome. Yet, past brain-wide association studies, particularly using large developmental samples, focus on the coarse connectome to understand the neural underpinnings of individual differences in cognition. Using a large cohort of children (age 9-10 years; n = 1,115 individuals; both sexes; 50% female, including 170 monozygotic and 219 dizygotic twin pairs and 337 unrelated individuals), we examine the reliability, heritability, and behavioral relevance of resting-state functional connectivity computed at different spatial scales. We use connectivity hyperalignment to improve access to reliable fine-scale (vertex-wise) connectivity information and compare the fine-scale connectome with the traditional parcel-wise (coarse scale) functional connectomes. Though individual differences in the fine-scale connectome are more reliable than those in the coarse-scale, they are less heritable. Further, the alignment and scale of connectomes influence their ability to predict behavior, whereby some cognitive traits are equally well predicted by both connectome scales, but other, less heritable cognitive traits are better predicted by the fine-scale connectome. Together, our findings suggest there are dissociable individual differences in information processing represented at different scales of the functional connectome which, in turn, have distinct implications for heritability and cognition.
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Affiliation(s)
- Erica L Busch
- Department of Psychology, Yale University, New Haven, Connecticut, 06510
| | - Kristina M Rapuano
- Department of Psychology, Yale University, New Haven, Connecticut, 06510
| | - Kevin M Anderson
- Department of Psychology, Yale University, New Haven, Connecticut, 06510
| | - Monica D Rosenberg
- Department of Psychology, University of Chicago, Chicago, Illinois, 60637
| | - Richard Watts
- Department of Psychology, Yale University, New Haven, Connecticut, 06510
| | - B J Casey
- Department of Psychology, Yale University, New Haven, Connecticut, 06510
| | - James V Haxby
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, 03755
| | - Ma Feilong
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, 03755
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Xia F, Fascianelli V, Vishwakarma N, Ghinger FG, Fusi S, Kheirbek MA. Identifying and modulating neural signatures of stress susceptibility and resilience enables control of anhedonia. RESEARCH SQUARE 2024:rs.3.rs-3581329. [PMID: 38343839 PMCID: PMC10854313 DOI: 10.21203/rs.3.rs-3581329/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Anhedonia is a core aspect of major depressive disorder. Traditionally viewed as a blunted emotional state in which individuals are unable to experience joy, anhedonia also diminishes the drive to seek rewards and the ability to value and learn about them 1-4.The neural underpinnings of anhedonia and how this emotional state drives related behavioral changes remain unclear. Here, we investigated these questions by taking advantage of the fact that when mice are exposed to traumatic social stress, susceptible animals become socially withdrawn and anhedonic, where they cease to seek high-value rewards, while others remain resilient. By performing high density electrophysiological recordings and comparing neural activity patterns of these groups in the basolateral amygdala (BLA) and ventral CA1 (vCA1) of awake behaving animals, we identified neural signatures of susceptibility and resilience to anhedonia. When animals actively sought rewards, BLA activity in resilient mice showed stronger discrimination between upcoming reward choices. In contrast, susceptible mice displayed a rumination-like signature, where BLA neurons encoded the intention to switch or stay on a previously chosen reward. When animals were at rest, the spontaneous BLA activity of susceptible mice was higher dimensional than in controls, reflecting a greater number of distinct neural population states. Notably, this spontaneous activity allowed us to decode group identity and to infer if a mouse had a history of stress better than behavioral outcomes alone. Finally, targeted manipulation of vCA1 inputs to the BLA in susceptible mice rescued dysfunctional neural dynamics, amplified dynamics associated with resilience, and reversed their anhedonic behavior. This work reveals population-level neural signatures that explain individual differences in responses to traumatic stress, and suggests that modulating vCA1-BLA inputs can enhance resilience by regulating these dynamics.
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Affiliation(s)
- Frances Xia
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
| | - Valeria Fascianelli
- Center for Theoretical Neuroscience, Columbia University, NY, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, NY, USA
| | - Nina Vishwakarma
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, USA
| | - Frances Grace Ghinger
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
| | - Stefano Fusi
- Center for Theoretical Neuroscience, Columbia University, NY, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, NY, USA
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, NY, USA
- Kavli Institute for Brain Science, Columbia University Irving Medical Center, NY, USA
| | - Mazen A Kheirbek
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA
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Jiahui G, Feilong M, Nastase SA, Haxby JV, Gobbini MI. Cross-movie prediction of individualized functional topography. eLife 2023; 12:e86037. [PMID: 37994909 PMCID: PMC10666932 DOI: 10.7554/elife.86037] [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: 01/09/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Participant-specific, functionally defined brain areas are usually mapped with functional localizers and estimated by making contrasts between responses to single categories of input. Naturalistic stimuli engage multiple brain systems in parallel, provide more ecologically plausible estimates of real-world statistics, and are friendly to special populations. The current study shows that cortical functional topographies in individual participants can be estimated with high fidelity from naturalistic stimuli. Importantly, we demonstrate that robust, individualized estimates can be obtained even when participants watched different movies, were scanned with different parameters/scanners, and were sampled from different institutes across the world. Our results create a foundation for future studies that allow researchers to estimate a broad range of functional topographies based on naturalistic movies and a normative database, making it possible to integrate high-level cognitive functions across datasets from laboratories worldwide.
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Affiliation(s)
- Guo Jiahui
- Center for Cognitive Neuroscience, Dartmouth CollegeHanoverUnited States
| | - Ma Feilong
- Center for Cognitive Neuroscience, Dartmouth CollegeHanoverUnited States
| | - Samuel A Nastase
- Princeton Neuroscience Institute, Princeton UniversityPrincetonUnited States
| | - James V Haxby
- Center for Cognitive Neuroscience, Dartmouth CollegeHanoverUnited States
| | - M Ida Gobbini
- Department of Medical and Surgical Sciences (DIMEC), University of BolognaBolognaItaly
- IRCCS, Istituto delle Scienze Neurologiche di BolognaBolognaItaly
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Xia F, Fascianelli V, Vishwakarma N, Ghinger FG, Fusi S, Kheirbek MA. Neural signatures of stress susceptibility and resilience in the amygdala-hippocampal network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.23.563652. [PMID: 37961124 PMCID: PMC10634760 DOI: 10.1101/2023.10.23.563652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The neural dynamics that underlie divergent anhedonic responses to stress remain unclear. Here, we identified neuronal dynamics in an amygdala-hippocampal circuit that distinguish stress resilience and susceptibility. In a reward-choice task, basolateral amygdala (BLA) activity in resilient mice showed enhanced discrimination of upcoming reward choices. In contrast, a rumination-like signature emerged in the BLA of susceptible mice; a linear decoder could classify the intention to switch or stay on a previously chosen reward. Spontaneous activity in the BLA of susceptible mice was higher dimensional than controls, reflecting the exploration of a larger number of distinct neural states. Manipulation of vCA1-BLA inputs rescued dysfunctional neural dynamics and anhedonia in susceptible mice, suggesting that targeting this pathway can enhance BLA circuit function and ameliorate of depression-related behaviors.
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Affiliation(s)
- Frances Xia
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
| | - Valeria Fascianelli
- Center for Theoretical Neuroscience, Columbia University, NY, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, NY, USA
| | - Nina Vishwakarma
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, USA
| | - Frances Grace Ghinger
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
| | - Stefano Fusi
- Center for Theoretical Neuroscience, Columbia University, NY, USA
- Zuckerman Mind Brain Behavior Institute, Columbia University, NY, USA
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, NY, USA
- Kavli Institute for Brain Science, Columbia University Irving Medical Center, NY, USA
| | - Mazen A Kheirbek
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, USA
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, USA
- Kavli Institute for Brain Science, Columbia University Irving Medical Center, NY, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, USA
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Michon KJ, Khammash D, Simmonite M, Hamlin AM, Polk TA. Person-specific and precision neuroimaging: Current methods and future directions. Neuroimage 2022; 263:119589. [PMID: 36030062 DOI: 10.1016/j.neuroimage.2022.119589] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/13/2022] [Accepted: 08/23/2022] [Indexed: 10/31/2022] Open
Abstract
Most neuroimaging studies of brain function analyze data in normalized space to identify regions of common activation across participants. These studies treat interindividual differences in brain organization as noise, but this approach can obscure important information about the brain's functional architecture. Recently, a number of studies have adopted a person-specific approach that aims to characterize these individual differences and explore their reliability and implications for behavior. A subset of these studies has taken a precision imaging approach that collects multiple hours of data from each participant to map brain function on a finer scale. In this review, we provide a broad overview of how person-specific and precision imaging techniques have used resting-state measures to examine individual differences in the brain's organization and their impact on behavior, followed by how task-based activity continues to add detail to these discoveries. We argue that person-specific and precision approaches demonstrate substantial promise in uncovering new details of the brain's functional organization and its relationship to behavior in many areas of cognitive neuroscience. We also discuss some current limitations in this new field and some new directions it may take.
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Affiliation(s)
| | - Dalia Khammash
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Molly Simmonite
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Abbey M Hamlin
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Thad A Polk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
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