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Peng X, Trambaiolli LR, Choi EY, Lehman JF, Linn G, Russ BE, Schroeder CE, Haber SN, Liu H. Cross-species striatal hubs: Linking anatomy to resting-state connectivity. Neuroimage 2024; 301:120866. [PMID: 39322095 DOI: 10.1016/j.neuroimage.2024.120866] [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: 06/12/2024] [Revised: 08/13/2024] [Accepted: 09/23/2024] [Indexed: 09/27/2024] Open
Abstract
Corticostriatal connections are essential for motivation, cognition, and behavioral flexibility. There is broad interest in using resting-state functional magnetic resonance imaging (rs-fMRI) to link circuit dysfunction in these connections with neuropsychiatric disorders. In this paper, we used tract-tracing data from non-human primates (NHPs) to assess the likelihood of monosynaptic connections being represented in rs-fMRI data of NHPs and humans. We also demonstrated that existing hub locations in the anatomical data can be identified in the rs-fMRI data from both species. To characterize this in detail, we mapped the complete striatal projection zones from 27 tract-tracer injections located in the orbitofrontal cortex (OFC), dorsal anterior cingulate cortex (dACC), ventromedial prefrontal cortex (vmPFC), ventrolateral PFC (vlPFC), and dorsal PFC (dPFC) of macaque monkeys. Rs-fMRI seeds at the same regions of NHP and homologous regions of human brains showed connectivity maps in the striatum mostly consistent with those observed in the tracer data. We then examined the location of overlap in striatal projection zones. The medial rostral dorsal caudate connected with all five frontocortical regions evaluated in this study in both modalities (tract-tracing and rs-fMRI) and species (NHP and human). Other locations in the caudate also presented an overlap of four frontocortical regions, suggesting the existence of different locations with lower levels of input diversity. Small retrograde tracer injections and rs-fMRI seeds in the striatum confirmed these cortical input patterns. This study sets the ground for future studies evaluating rs-fMRI in clinical samples to measure anatomical corticostriatal circuit dysfunction and identify connectional hubs to provide more specific treatment targets for neurological and psychiatric disorders.
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Affiliation(s)
- Xiaolong Peng
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, USA
| | - Lucas R Trambaiolli
- McLean Hospital, Harvard Medical School, Boston, USA; University of Rochester School of Medicine & Dentistry, Rochester, USA
| | - Eun Young Choi
- Department of Neurosurgery, Stanford University, Stanford, USA
| | - Julia F Lehman
- University of Rochester School of Medicine & Dentistry, Rochester, USA
| | - Gary Linn
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, USA
| | - Brian E Russ
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, USA
| | | | - Suzanne N Haber
- McLean Hospital, Harvard Medical School, Boston, USA; University of Rochester School of Medicine & Dentistry, Rochester, USA.
| | - Hesheng Liu
- Changping Laboratory, Beijing, China; Biomedical Pioneering Innovation Center, Peking University, Beijing, China.
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Tripathi V, Fox-Fuller J, Malotaux V, Baena A, Felix NB, Alvarez S, Aguillon D, Lopera F, Somers DC, Quiroz YT. Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.01.24312913. [PMID: 39281738 PMCID: PMC11398447 DOI: 10.1101/2024.09.01.24312913] [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] [Indexed: 09/18/2024]
Abstract
INTRODUCTION Autosomal Dominant Alzheimer's Disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin-1 (PSEN1) E280A carriers' mutation has allowed us to observe incipient tau tangles accumulation as early as 6 years prior to symptom onset. METHODS Resting-state functional Magnetic Resonance Imaging (fMRI) and Positron-Emission Tomography (PET) scans were acquired in a group of PSEN1 carriers (n=32) and non-carrier family members (n=35). We applied Connectome-based Predictive Modeling (CPM) to examine the relationship between the participant's functional connectome and their respective tau/amyloid-β levels and cognitive scores (word list recall). RESULTS CPM models strongly predicted tau concentrations and cognitive scores within the carrier group. The connectivity patterns between the temporal cortex, default mode network, and other memory networks were the most informative of tau burden. DISCUSSION These results indicate that resting-state fMRI methods can complement PET methods in early detection and monitoring of disease progression in ADAD.
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Affiliation(s)
- Vaibhav Tripathi
- Department of Psychological and Brain Sciences, Boston University
- Department of Psychology & Center for Brain Science, Harvard University
| | - Joshua Fox-Fuller
- Department of Psychological and Brain Sciences, Boston University
- Massachusetts General Hospital, Harvard Medical School
| | | | - Ana Baena
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Colombia
| | | | | | - David Aguillon
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Colombia
| | - David C Somers
- Department of Psychological and Brain Sciences, Boston University
| | - Yakeel T Quiroz
- Massachusetts General Hospital, Harvard Medical School
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Colombia
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Angeli PA, DiNicola LM, Saadon-Grosman N, Eldaief MC, Buckner RL. Specialization of the Human Hippocampal Long Axis Revisited. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.19.572264. [PMID: 38187548 PMCID: PMC10769203 DOI: 10.1101/2023.12.19.572264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
The hippocampus possesses anatomical differences along its long axis. Here the functional specialization of the human hippocampal long axis was explored using network-anchored precision functional MRI (N = 11) paired with behavioral analyses (N=266). Functional connectivity analyses demonstrated that the anterior hippocampus was preferentially correlated with a cerebral network associated with remembering, while the posterior hippocampus was correlated with a distinct network associated with behavioral salience. Seed regions placed within the hippocampus recapitulated the distinct cerebral networks. Functional characterization using task data within the same intensively sampled individuals discovered a functional double dissociation between the anterior and posterior hippocampal regions. The anterior hippocampal region was sensitive to remembering and imagining the future, specifically tracking the process of scene construction, while the posterior hippocampal region displayed transient responses to targets in an oddball detection task and to transitions between task blocks. These findings suggest specialization along the long axis of the hippocampus with differential responses reflecting the functional properties of the partner cerebral networks.
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Affiliation(s)
- Peter A Angeli
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Lauren M DiNicola
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Noam Saadon-Grosman
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mark C Eldaief
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Randy L Buckner
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
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Saadon-Grosman N, Du J, Kosakowski HL, Angeli PA, DiNicola LM, Eldaief MC, Buckner RL. Within-Individual Organization of the Human Cognitive Cerebellum: Evidence for Closely Juxtaposed, Functionally Specialized Regions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.18.572062. [PMID: 38187706 PMCID: PMC10769291 DOI: 10.1101/2023.12.18.572062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
The human cerebellum possesses multiple regions linked to cerebral association cortex. Here we mapped the cerebellum using precision functional MRI within individual participants (N=15), first estimating regions using connectivity and then prospectively testing functional properties using independent task data. Network estimates in all participants revealed a Crus I / II cerebellar megacluster of five higher-order association networks often with multiple, discontinuous regions for the same network. Seed regions placed within the megaclusters, including the disjointed regions, yielded spatially selective networks in the cerebral cortex. Compelling evidence for functional specialization within the cerebellar megaclusters emerged from the task responses. Reflecting functional distinctions found in the cerebrum, domain-flexible cerebellar regions involved in cognitive control dissociated from distinct domain-specialized regions with differential responses to language, social, and spatial / episodic task demands. These findings provide a clear demonstration that the cerebellum encompasses multiple zones dedicated to cognition, featuring juxtaposed regions specialized for distinct processing domains.
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Affiliation(s)
- Noam Saadon-Grosman
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Jingnan Du
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Heather L Kosakowski
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Peter A Angeli
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Lauren M DiNicola
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mark C Eldaief
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Randy L Buckner
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
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