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  Echoes from intrinsic connectivity networks in the subcortex

Groot, J. M., Miletic, S., Isherwood, S. J. S., Tse, D. H. Y., Habli, S., Håberg, A. K., et al. (2023). Echoes from intrinsic connectivity networks in the subcortex. The Journal of Neuroscience, 43(39), 6609-6618. doi:10.1523/JNEUROSCI.1020-23.2023.

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 Creators:
Groot, Josephine M.1, 2, Author
Miletic, Steven2, Author
Isherwood, Scott J. S.2, Author
Tse, Desmond H. Y.3, Author
Habli, Sarah4, Author
Håberg, Asta K.5, 6, Author
Forstmann, Birte U.2, Author
Bazin, Pierre-Louis1, 7, 8, Author                 
Mittner, Matthias1, Author
Affiliations:
1Department of Psychology, UiT The Arctic University of Norway, Tromsø, Norway, ou_persistent22              
2Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
3Department of Neuropsychology and Psychopharmacology, Maastricht University, the Netherlands, ou_persistent22              
4Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              
5Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              
6Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, ou_persistent22              
7Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
8Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              

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 Abstract: Decades of research have greatly improved our understanding of intrinsic human brain organization in terms of functional networks and the transmodal hubs within the cortex at which they converge. However, substrates of multi-network integration in the human subcortex are relatively uncharted. Here, we leveraged recent advances in subcortical atlasing and ultra-high field (7T) imaging optimized for the subcortex to investigate the functional architecture of fourteen individual structures in healthy adult males and females with a fully data-driven approach. We revealed that spontaneous neural activity in subcortical regions can be decomposed into multiple independent subsignals that correlate with, or 'echo', the activity in functional networks across the cortex. Distinct subregions of the thalamus, striatum, claustrum, and hippocampus showed a varied pattern of echoes from attention, control, visual, somatomotor, and default mode networks, demonstrating evidence for a heterogeneous organization supportive of functional integration. Multiple network activity furthermore converged within the globus pallidus externa, substantia nigra, and ventral tegmental area but was specific to one subregion, while the amygdala and pedunculopontine nucleus preferentially affiliated with a single network, showing a more homogeneous topography. Subregional connectivity of the globus pallidus interna, subthalamic nucleus, red nucleus, periaqueductal grey, and locus coeruleus did not resemble patterns of cortical network activity. Together, these finding describe potential mechanisms through which the subcortex participates in integrated and segregated information processing and shapes the spontaneous cognitive dynamics during rest.

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Language(s): eng - English
 Dates: 2023-07-112023-06-012023-07-282023-08-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1523/JNEUROSCI.1020-23.2023
Other: epub 2023
PMID: 37562962
 Degree: -

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Grant ID : 016.Vici.185.052
Funding program : -
Funding organization : Netherlands Organization of Scientific Research (NWO)

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Title: The Journal of Neuroscience
  Other : The Journal of Neuroscience: the Official Journal of the Society for Neuroscience
  Abbreviation : J. Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, DC : Society of Neuroscience
Pages: - Volume / Issue: 43 (39) Sequence Number: - Start / End Page: 6609 - 6618 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187_1