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Greene DJ, Demeter DV, Nielsen AN. Functional Neuroanatomy of Tics: A Brain Network Perspective. Psychiatr Clin North Am 2025; 48:31-44. [PMID: 39880514 PMCID: PMC11780252 DOI: 10.1016/j.psc.2024.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
Tourette syndrome is defined by motor and vocal tics, yet our understanding of the pathophysiology of tics remains limited. Functional MRI (fMRI) can localize brain function related to the clinical phenomenology of tics. Here, we review extant fMRI studies examining brain activity during the premonitory urge, tic release, and tic suppression. Results are placed in the context of large-scale functional networks, given recent advancements in understanding the brain's functional network organization. During tic-related phenomena, brain activity follows consistent patterns involving specific networks, largely centered around the cingulo-opercular action mode network. This network-level framework provides a novel avenue for targeted-treatment methods.
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Affiliation(s)
- Deanna J Greene
- Department of Cognitive Science, University of California San Diego, 9500 Gilman Drive, Mail Code: 0515, La Jolla, CA 92093, USA.
| | - Damion V Demeter
- Department of Cognitive Science, University of California San Diego, 9500 Gilman Drive, Mail Code: 0515, La Jolla, CA 92093, USA
| | - Ashley N Nielsen
- Department of Neurology, Washington University School of Medicine, 4444 Forest Park Avenue, Campus Box 8514, St. Louis, MO 63108, USA
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Kosakowski HL, Eldaief MC, Buckner RL. Ventral Striatum is Preferentially Correlated with the Salience Network Including Regions in Dorsolateral Prefrontal Cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.13.618063. [PMID: 39416211 PMCID: PMC11482876 DOI: 10.1101/2024.10.13.618063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
The ventral striatum (VS) receives input from the cerebral cortex and is modulated by midbrain dopaminergic projections in support of processing reward and motivation. Here we explored the organization of cortical regions linked to the human VS using within-individual functional connectivity MRI in intensively scanned participants. In two initial participants (scanned 31 sessions each), seed regions in the VS were preferentially correlated with distributed cortical regions that are part of the Salience (SAL) network. The VS seed region recapitulated SAL network topography in each individual including anterior and posterior midline regions, anterior insula, and dorsolateral prefrontal cortex (DLPFC) - a topography that was distinct from a nearby striatal seed region. The region of DLPFC linked to the VS is positioned adjacent to regions associated with domain-flexible cognitive control. The full pattern was replicated in independent data from the same two individuals and generalized to 15 novel participants (scanned 8 or more sessions each). These results suggest that the VS forms a cortico-basal ganglia loop as part of the SAL network. The DLPFC is a neuromodulatory target to treat major depressive disorder. The present results raise the possibility that the DLPFC may be an effective neuromodulatory target because of its preferential coupling to the VS and suggests a path toward further personalization.
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Lyu W, Thung KH, Huynh KM, Wang L, Lin W, Ahmad S, Yap PT. The Growing Little Brain: Cerebellar Functional Development from Cradle to School. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.12.617938. [PMID: 39416101 PMCID: PMC11482888 DOI: 10.1101/2024.10.12.617938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Despite the cerebellum's crucial role in brain functions, its early development, particularly in relation to the cerebrum, remains poorly understood. Here, we examine cerebellocortical connectivity using over 1,000 high-quality resting-state functional MRI scans of children from birth to 60 months. By mapping cerebellar topography with fine temporal detail for the first time, we show the hierarchical and contralateral organization of cerebellocortical connectivity from birth. We observe dynamic shifts in cerebellar network gradients, which become more focal with age while maintaining stable anchor points similar to adults, highlighting the cerebellum's evolving yet stable role in functional integration during early development. Our findings provide the first evidence of cerebellar connections to higher-order networks at birth, which generally strengthen with age, emphasizing the cerebellum's early role in cognitive processing beyond sensory and motor functions. Our study provides insights into early cerebellocortical interactions, reveals functional asymmetry and sexual dimorphism in cerebellar development, and lays the groundwork for future research on cerebellum-related disorders in children.
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Affiliation(s)
- Wenjiao Lyu
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Kim-Han Thung
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Khoi Minh Huynh
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Li Wang
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Weili Lin
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Sahar Ahmad
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Pew-Thian Yap
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
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Kosakowski HL, Saadon-Grosman N, Du J, Eldaief MC, Buckner RL. Human striatal association megaclusters. J Neurophysiol 2024; 131:1083-1100. [PMID: 38505898 PMCID: PMC11383613 DOI: 10.1152/jn.00387.2023] [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: 10/19/2023] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 03/21/2024] Open
Abstract
The striatum receives projections from multiple regions of the cerebral cortex consistent with the role of the basal ganglia in diverse motor, affective, and cognitive functions. Within the striatum, the caudate receives projections from association cortex, including multiple distinct regions of prefrontal cortex. Building on recent insights about the details of how juxtaposed cortical networks are specialized for distinct aspects of higher-order cognition, we revisited caudate organization using within-individual precision neuroimaging initially in two intensively scanned individuals (each scanned 31 times). Results revealed that the caudate has side-by-side regions that are coupled to at least five distinct distributed association networks, paralleling the organization observed in the cerebral cortex. We refer to these spatial groupings of regions as striatal association megaclusters. Correlation maps from closely juxtaposed seed regions placed within the megaclusters recapitulated the five distinct cortical networks, including their multiple spatially distributed regions. Striatal association megaclusters were explored in 15 additional participants (each scanned at least 8 times), finding that their presence generalizes to new participants. Analysis of the laterality of the regions within the megaclusters further revealed that they possess asymmetries paralleling their cortical counterparts. For example, caudate regions linked to the language network were left lateralized. These results extend the general notion of parallel specialized basal ganglia circuits with the additional discovery that, even within the caudate, there is fine-grained separation of multiple distinct higher-order networks that reflects the organization and lateralization found in the cerebral cortex.NEW & NOTEWORTHY An individualized precision neuroimaging approach reveals juxtaposed zones of the caudate that are coupled with five distinct networks in association cortex. The organization of these caudate zones recapitulates organization observed in the cerebral cortex and extends the notion of specialized basal ganglia circuits.
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Affiliation(s)
- Heather L Kosakowski
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, United States
| | - Noam Saadon-Grosman
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, United States
| | - Jingnan Du
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, United States
| | - Mark C Eldaief
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States
- Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, United States
| | - Randy L Buckner
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, United States
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States
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Menon PJ, Sambin S, Criniere-Boizet B, Courtin T, Tesson C, Casse F, Ferrien M, Mariani LL, Carvalho S, Lejeune FX, Rebbah S, Martet G, Houot M, Lanore A, Mangone G, Roze E, Vidailhet M, Aasly J, Gan Or Z, Yu E, Dauvilliers Y, Zimprich A, Tomantschger V, Pirker W, Álvarez I, Pastor P, Di Fonzo A, Bhatia KP, Magrinelli F, Houlden H, Real R, Quattrone A, Limousin P, Korlipara P, Foltynie T, Grosset D, Williams N, Narendra D, Lin HP, Jovanovic C, Svetel M, Lynch T, Gallagher A, Vandenberghe W, Gasser T, Brockmann K, Morris HR, Borsche M, Klein C, Corti O, Brice A, Lesage S, Corvol JC. Genotype-phenotype correlation in PRKN-associated Parkinson's disease. NPJ Parkinsons Dis 2024; 10:72. [PMID: 38553467 PMCID: PMC10980707 DOI: 10.1038/s41531-024-00677-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 03/07/2024] [Indexed: 04/02/2024] Open
Abstract
Bi-allelic pathogenic variants in PRKN are the most common cause of autosomal recessive Parkinson's disease (PD). 647 patients with PRKN-PD were included in this international study. The pathogenic variants present were characterised and investigated for their effect on phenotype. Clinical features and progression of PRKN-PD was also assessed. Among 133 variants in index cases (n = 582), there were 58 (43.6%) structural variants, 34 (25.6%) missense, 20 (15%) frameshift, 10 splice site (7.5%%), 9 (6.8%) nonsense and 2 (1.5%) indels. The most frequent variant overall was an exon 3 deletion (n = 145, 12.3%), followed by the p.R275W substitution (n = 117, 10%). Exon3, RING0 protein domain and the ubiquitin-like protein domain were mutational hotspots with 31%, 35.4% and 31.7% of index cases presenting mutations in these regions respectively. The presence of a frameshift or structural variant was associated with a 3.4 ± 1.6 years or a 4.7 ± 1.6 years earlier age at onset of PRKN-PD respectively (p < 0.05). Furthermore, variants located in the N-terminus of the protein, a region enriched with frameshift variants, were associated with an earlier age at onset. The phenotype of PRKN-PD was characterised by slow motor progression, preserved cognition, an excellent motor response to levodopa therapy and later development of motor complications compared to early-onset PD. Non-motor symptoms were however common in PRKN-PD. Our findings on the relationship between the type of variant in PRKN and the phenotype of the disease may have implications for both genetic counselling and the design of precision clinical trials.
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Affiliation(s)
- Poornima Jayadev Menon
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France.
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France.
- School of Postgraduate Studies, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Sara Sambin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Baptiste Criniere-Boizet
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Thomas Courtin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Genetics, Hôpital Pitié-Salpêtrière, Paris, France
| | - Christelle Tesson
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Fanny Casse
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Melanie Ferrien
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Louise-Laure Mariani
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stephanie Carvalho
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Francois-Xavier Lejeune
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Sana Rebbah
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Gaspard Martet
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Marion Houot
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
- Centre of Excellence of Neurodegenerative Disease (CoEN), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Institute of Memory and Alzheimer's Disease (IM2A), Department of Neurology, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Aymeric Lanore
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Graziella Mangone
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
- Department of Neurology, Movement Disorder Division, Rush University Medical Center, 1725 W. Harrison Street, Chicago, IL, USA
| | - Emmanuel Roze
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Marie Vidailhet
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jan Aasly
- Department of Neurology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ziv Gan Or
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Eric Yu
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Yves Dauvilliers
- Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, University of Montpellier, Institute for Neurosciences of Montpellier (INM), INSERM, Montpellier, France
| | | | | | - Walter Pirker
- Department of Neurology, Ottakring Clinic, Vienna, Austria
| | - Ignacio Álvarez
- Department of Neurology, Hospital Universitari Mutua de Terrassa, and Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Barcelona, Spain
| | - Pau Pastor
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol and The Germans Trias i Pujol Research Institute (IGTP) Badalona, Barcelona, Spain
| | - Alessio Di Fonzo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Francesca Magrinelli
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Raquel Real
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Andrea Quattrone
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
| | - Patricia Limousin
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Prasad Korlipara
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Thomas Foltynie
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Donald Grosset
- Institute of Neurological Sciences, University of Glasgow, Glasgow, UK
| | - Nigel Williams
- Department of Psychological Medicine and Neurology, Cardiff University, Cardiff, UK
| | - Derek Narendra
- Inherited Disorders Unit, Neurogenetics Branch, Division of Intramural Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Hsin-Pin Lin
- Inherited Disorders Unit, Neurogenetics Branch, Division of Intramural Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Carna Jovanovic
- University Clinical Center of Serbia, Neurology Clinic, Belgrade, Serbia
| | - Marina Svetel
- University Clinical Center of Serbia, Neurology Clinic, Belgrade, Serbia
| | - Timothy Lynch
- The Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin Ireland and University College Dublin, Dublin, Ireland
| | - Amy Gallagher
- The Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin Ireland and University College Dublin, Dublin, Ireland
| | - Wim Vandenberghe
- Department of Neurology, University Hospitals Leuven; Department of Neurosciences, KU Leuven; Leuven Brain Institute, Leuven, Belgium
| | - Thomas Gasser
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Kathrin Brockmann
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Huw R Morris
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Max Borsche
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Olga Corti
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Alexis Brice
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Genetics, Hôpital Pitié-Salpêtrière, Paris, France
| | - Suzanne Lesage
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Jean Christophe Corvol
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
- Assistance Publique Hôpitaux de Paris, Department of Neurology, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
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Cabral L, Calabro FJ, Foran W, Parr AC, Ojha A, Rasmussen J, Ceschin R, Panigrahy A, Luna B. Multivariate and regional age-related change in basal ganglia iron in neonates. Cereb Cortex 2024; 34:bhad456. [PMID: 38059685 PMCID: PMC11494441 DOI: 10.1093/cercor/bhad456] [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: 07/05/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/08/2023] Open
Abstract
In the perinatal period, reward and cognitive systems begin trajectories, influencing later psychiatric risk. The basal ganglia is important for reward and cognitive processing but early development has not been fully characterized. To assess age-related development, we used a measure of basal ganglia physiology, specifically brain tissue iron, obtained from nT2* signal in resting-state functional magnetic resonance imaging (rsfMRI), associated with dopaminergic processing. We used data from the Developing Human Connectome Project (n = 464) to assess how moving from the prenatal to the postnatal environment affects rsfMRI nT2*, modeling gestational and postnatal age separately for basal ganglia subregions in linear models. We did not find associations with tissue iron and gestational age [range: 24.29-42.29] but found positive associations with postnatal age [range:0-17.14] in the pallidum and putamen, but not the caudate. We tested if there was an interaction between preterm birth and postnatal age, finding early preterm infants (GA < 35 wk) had higher iron levels and changed less over time. To assess multivariate change, we used support vector regression to predict age from voxel-wise-nT2* maps. We could predict postnatal but not gestational age when maps were residualized for the other age term. This provides evidence subregions differentially change with postnatal experience and preterm birth may disrupt trajectories.
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Affiliation(s)
- Laura Cabral
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Department of Bioengineering, University of Pittsburgh, 15213, United States
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Amar Ojha
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Jerod Rasmussen
- Development, Health and Disease Research Program, University of California, Irvine, CA 92697, United States
- Department of Pediatrics, University of California, Irvine, CA 92697, United States
| | - Rafael Ceschin
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Ashok Panigrahy
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
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7
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D'Andrea CB, Laumann TO, Newbold DJ, Nelson SM, Nielsen AN, Chauvin R, Marek S, Greene DJ, Dosenbach NUF, Gordon EM. Substructure of the brain's Cingulo-Opercular network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.10.561772. [PMID: 37873065 PMCID: PMC10592749 DOI: 10.1101/2023.10.10.561772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The Cingulo-Opercular network (CON) is an executive network of the human brain that regulates actions. CON is composed of many widely distributed cortical regions that are involved in top-down control over both lower-level (i.e., motor) and higher-level (i.e., cognitive) functions, as well as in processing of painful stimuli. Given the topographical and functional heterogeneity of the CON, we investigated whether subnetworks within the CON support separable aspects of action control. Using precision functional mapping (PFM) in 15 participants with > 5 hours of resting state functional connectivity (RSFC) and task data, we identified three anatomically and functionally distinct CON subnetworks within each individual. These three distinct subnetworks were linked to Decisions, Actions, and Feedback (including pain processing), respectively, in convergence with a meta-analytic task database. These Decision, Action and Feedback subnetworks represent pathways by which the brain establishes top-down goals, transforms those goals into actions, implemented as movements, and processes critical action feedback such as pain.
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Affiliation(s)
- Carolina Badke D'Andrea
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
- Department of Cognitive Science, University of California San Diego, La Jolla, California 92093, USA
- Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO 63310, USA
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Dillan J Newbold
- Department of Neurology, New York University Medical Center, New York, New York 10016, USA
| | - Steven M Nelson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota 55455, USA
| | - Ashley N Nielsen
- Department of Neurology, New York University Medical Center, New York, New York 10016, USA
| | - Roselyne Chauvin
- Department of Neurology, New York University Medical Center, New York, New York 10016, USA
| | - Scott Marek
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Deanna J Greene
- Department of Cognitive Science, University of California San Diego, La Jolla, California 92093, USA
| | - Nico U F Dosenbach
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110, USA
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Evan M Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
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8
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Kosakowski HL, Saadon-Grosman N, Du J, Eldaief ME, Buckner RL. Human Striatal Association Megaclusters. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.03.560666. [PMID: 37873093 PMCID: PMC10592903 DOI: 10.1101/2023.10.03.560666] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The striatum receives projections from multiple regions of the cerebral cortex consistent with its role in diverse motor, affective, and cognitive functions. Supporting cognitive functions, the caudate receives projections from cortical association regions. Building on recent insights about the details of how multiple cortical networks are specialized for distinct aspects of higher-order cognition, we revisited caudate organization using within-individual precision neuroimaging (n=2, each participant scanned 31 times). Detailed analysis revealed that the caudate has side-by-side zones that are coupled to at least Give distinct distributed association networks, paralleling the specialization observed in the cerebral cortex. Examining correlation maps from closely juxtaposed seed regions in the caudate recapitulated the Give distinct cerebral networks including their multiple spatially distributed regions. These results extend the general notion of parallel specialized basal ganglia circuits, with the additional discovery that even within the caudate, there is Gine-grained separation of multiple distinct higher-order networks.
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Affiliation(s)
- Heather L Kosakowski
- 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
| | - Jingnan Du
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mark E Eldaief
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Department of Neurology, 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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9
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Uddin LQ, Betzel RF, Cohen JR, Damoiseaux JS, De Brigard F, Eickhoff SB, Fornito A, Gratton C, Gordon EM, Laird AR, Larson-Prior L, McIntosh AR, Nickerson LD, Pessoa L, Pinho AL, Poldrack RA, Razi A, Sadaghiani S, Shine JM, Yendiki A, Yeo BTT, Spreng RN. Controversies and progress on standardization of large-scale brain network nomenclature. Netw Neurosci 2023; 7:864-905. [PMID: 37781138 PMCID: PMC10473266 DOI: 10.1162/netn_a_00323] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 05/10/2023] [Indexed: 10/03/2023] Open
Abstract
Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level of macroscale organization of the brain, is beginning to confront the challenges associated with developing a taxonomy of its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy of NETworks (WHATNET) was formed in 2020 as an Organization for Human Brain Mapping (OHBM)-endorsed best practices committee to provide recommendations on points of consensus, identify open questions, and highlight areas of ongoing debate in the service of moving the field toward standardized reporting of network neuroscience results. The committee conducted a survey to catalog current practices in large-scale brain network nomenclature. A few well-known network names (e.g., default mode network) dominated responses to the survey, and a number of illuminating points of disagreement emerged. We summarize survey results and provide initial considerations and recommendations from the workgroup. This perspective piece includes a selective review of challenges to this enterprise, including (1) network scale, resolution, and hierarchies; (2) interindividual variability of networks; (3) dynamics and nonstationarity of networks; (4) consideration of network affiliations of subcortical structures; and (5) consideration of multimodal information. We close with minimal reporting guidelines for the cognitive and network neuroscience communities to adopt.
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Affiliation(s)
- Lucina Q. Uddin
- Department of Psychiatry and Biobehavioral Sciences and Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Richard F. Betzel
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Jessica R. Cohen
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA
| | - Jessica S. Damoiseaux
- Institute of Gerontology and Department of Psychology, Wayne State University, Detroit, MI, USA
| | | | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Evan M. Gordon
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Linda Larson-Prior
- Deptartment of Psychiatry and Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - A. Randal McIntosh
- Institute for Neuroscience and Neurotechnology, Simon Fraser University, Vancouver, BC, Canada
| | | | - Luiz Pessoa
- Department of Psychology, University of Maryland, College Park, MD, USA
| | - Ana Luísa Pinho
- Brain and Mind Institute, Western University, London, Ontario, Canada
| | | | - Adeel Razi
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Sepideh Sadaghiani
- Department of Psychology, University of Illinois, Urbana Champaign, IL, USA
| | - James M. Shine
- Brain and Mind Center, University of Sydney, Sydney, Australia
| | - Anastasia Yendiki
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - B. T. Thomas Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
| | - R. Nathan Spreng
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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10
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Badke D’Andrea C, Marek S, Van AN, Miller RL, Earl EA, Stewart SB, Dosenbach NUF, Schlaggar BL, Laumann TO, Fair DA, Gordon EM, Greene DJ. Thalamo-cortical and cerebello-cortical functional connectivity in development. Cereb Cortex 2023; 33:9250-9262. [PMID: 37293735 PMCID: PMC10492576 DOI: 10.1093/cercor/bhad198] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 05/09/2023] [Accepted: 05/17/2023] [Indexed: 06/10/2023] Open
Abstract
The thalamus is a critical relay center for neural pathways involving sensory, motor, and cognitive functions, including cortico-striato-thalamo-cortical and cortico-ponto-cerebello-thalamo-cortical loops. Despite the importance of these circuits, their development has been understudied. One way to investigate these pathways in human development in vivo is with functional connectivity MRI, yet few studies have examined thalamo-cortical and cerebello-cortical functional connectivity in development. Here, we used resting-state functional connectivity to measure functional connectivity in the thalamus and cerebellum with previously defined cortical functional networks in 2 separate data sets of children (7-12 years old) and adults (19-40 years old). In both data sets, we found stronger functional connectivity between the ventral thalamus and the somatomotor face cortical functional network in children compared with adults, extending previous cortico-striatal functional connectivity findings. In addition, there was more cortical network integration (i.e. strongest functional connectivity with multiple networks) in the thalamus in children than in adults. We found no developmental differences in cerebello-cortical functional connectivity. Together, these results suggest different maturation patterns in cortico-striato-thalamo-cortical and cortico-ponto-cerebellar-thalamo-cortical pathways.
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Affiliation(s)
- Carolina Badke D’Andrea
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92093, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Scott Marek
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, United States
| | - Ryland L Miller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Eric A Earl
- Data Science and Sharing Team, National Institute of Mental Health, NIH, DHHS, Bethesda, MD 20899, United States
| | - Stephanie B Stewart
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO 80045, United States
| | - Nico U F Dosenbach
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, United States
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, United States
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, United States
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110, United States
| | | | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Damien A Fair
- Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, MN 55455, United States
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55455, United States
| | - Evan M Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, United States
| | - Deanna J Greene
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92093, United States
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11
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Choi EJ, Vandewouw MM, de Villa K, Inoue T, Taylor MJ. The development of functional connectivity within the dorsal striatum from early childhood to adulthood. Dev Cogn Neurosci 2023; 61:101258. [PMID: 37247471 DOI: 10.1016/j.dcn.2023.101258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 05/18/2023] [Accepted: 05/21/2023] [Indexed: 05/31/2023] Open
Abstract
Dorsal striatum, principally comprising of caudate and putamen, is well-known to support motor function but also various higher-order cognitive functions. This is enabled by developing short- and long-range connections to distributed cortical regions throughout the life span, but few studies have examined developmental changes from young children to adults in the same cohort. Here we investigated the development of dorsal-striatal network in a large (n = 476), single-site sample of healthy subjects 3-42 years of age in three groups (children, adolescence, adults). The results showed that the connectivity within the striatum and to sensorimotor regions was established at an early stage of life and remained strong in adolescence, supporting that sensory-seeking behaviours and habit formation are important learning mechanisms during the developmental periods. This connectivity diminished with age, as many behaviours become more efficient and automated. Adolescence demonstrated a remarkable transition phase where the connectivity to dorsolateral prefrontal cortex emerged but connectivity to the dorsomedial prefrontal and posterior brain, which belong to the ventral attentional and default mode networks, was only seen in adults. This prolonged maturation in between-network integration may explain the behavioural characteristics of adolescents in that they exhibit elaborated cognitive performance but also demonstrate high risk-taking behaviours.
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Affiliation(s)
- Eun Jung Choi
- Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marlee M Vandewouw
- Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kathrina de Villa
- Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Takeshi Inoue
- Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Pediatrics, Center for Child Development and Psychosomatic, Dokkyo Medical University Saitama Medical Center, Saitama, Japan
| | - Margot J Taylor
- Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Departments of Medical Imaging and Psychology, University of Toronto, Toronto, Ontario, Canada.
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12
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Vorobyov V, Deev A, Chaprov K, Ustyugov AA, Lysikova E. Age-Related Modifications of Electroencephalogram Coherence in Mice Models of Alzheimer's Disease and Amyotrophic Lateral Sclerosis. Biomedicines 2023; 11:biomedicines11041151. [PMID: 37189768 DOI: 10.3390/biomedicines11041151] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/08/2023] [Accepted: 04/09/2023] [Indexed: 05/17/2023] Open
Abstract
Evident similarities in pathological features in aging and Alzheimer's disease (AD) raise the question of a role for natural age-related adaptive mechanisms in the prevention/elimination of disturbances in interrelations between different brain areas. In our previous electroencephalogram (EEG) studies on 5xFAD- and FUS-transgenic mice, as models of AD and amyotrophic lateral sclerosis (ALS), this suggestion was indirectly confirmed. In the current study, age-related changes in direct EEG synchrony/coherence between the brain structures were evaluated. METHODS In 5xFAD mice of 6-, 9-, 12-, and 18-month ages and their wild-type (WT5xFAD) littermates, we analyzed baseline EEG coherence between the cortex, hippocampus/putamen, ventral tegmental area, and substantia nigra. Additionally, EEG coherence between the cortex and putamen was analyzed in 2- and 5-month-old FUS mice. RESULTS In the 5xFAD mice, suppressed levels of inter-structural coherence vs. those in WT5xFAD littermates were observed at ages of 6, 9, and 12 months. In 18-month-old 5xFAD mice, only the hippocampus ventral tegmental area coherence was significantly reduced. In 2-month-old FUS vs. WTFUS mice, the cortex-putamen coherence suppression, dominated in the right hemisphere, was observed. In 5-month-old mice, EEG coherence was maximal in both groups. CONCLUSION Neurodegenerative pathologies are accompanied by the significant attenuation of intracerebral EEG coherence. Our data are supportive for the involvement of age-related adaptive mechanisms in intracerebral disturbances produced by neurodegeneration.
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Affiliation(s)
- Vasily Vorobyov
- School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK
- Institute of Cell Biophysics, Russian Academy of Sciences, 142290 Pushchino, Russia
| | - Alexander Deev
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, 142290 Pushchino, Russia
| | - Kirill Chaprov
- School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia
- Center of Pre-Clinical and Clinical Studies, Belgorod State National Research University, 308015 Belgorod, Russia
| | - Aleksey A Ustyugov
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia
| | - Ekaterina Lysikova
- School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia
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13
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Kostović I, Džaja D, Raguž M, Kopić J, Blažević A, Krsnik Ž. Transient compartmentalization and accelerated volume growth coincide with the expected development of cortical afferents in the human neostriatum. Cereb Cortex 2022; 33:434-457. [PMID: 35244150 DOI: 10.1093/cercor/bhac076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 01/17/2023] Open
Abstract
The neostriatum plays a central role in cortico-subcortical circuitry underlying goal-directed behavior. The adult mammalian neostriatum shows chemical and cytoarchitectonic compartmentalization in line with the connectivity. However, it is poorly understood how and when fetal compartmentalization (AChE-rich islands, nonreactive matrix) switches to adult (AChE-poor striosomes, reactive matrix) and how this relates to the ingrowth of corticostriatal afferents. Here, we analyze neostriatal compartments on postmortem human brains from 9 postconceptional week (PCW) to 18 postnatal months (PM), using Nissl staining, histochemical techniques (AChE, PAS-Alcian), immunohistochemistry, stereology, and comparing data with volume-growth of in vivo and in vitro MRI. We find that compartmentalization (C) follows a two-compartment (2-C) pattern around 10PCW and is transformed into a midgestational labyrinth-like 3-C pattern (patches, AChE-nonreactive perimeters, matrix), peaking between 22 and 28PCW during accelerated volume-growth. Finally, compartmentalization resolves perinatally, by the decrease in transient "AChE-clumping," disappearance of AChE-nonreactive, ECM-rich perimeters, and an increase in matrix reactivity. The initial "mature" pattern appears around 9 PM. Therefore, transient, a 3-C pattern and accelerated neostriatal growth coincide with the expected timing of the nonhomogeneous distribution of corticostriatal afferents. The decrease in growth-related AChE activity and transfiguration of corticostriatal terminals are putative mechanisms underlying fetal compartments reorganization. Our findings serve as normative for studying neurodevelopmental disorders.
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Affiliation(s)
- Ivica Kostović
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Domagoj Džaja
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.,Department of Anatomy and Clinical Anatomy, School of Medicine University of Zagreb, 10000 Zagreb, Croatia
| | - Marina Raguž
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia.,Department of Neurosurgery, University Hospital Dubrava, 10000 Zagreb, Croatia
| | - Janja Kopić
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Andrea Blažević
- Department of Anatomy and Clinical Anatomy, School of Medicine University of Zagreb, 10000 Zagreb, Croatia
| | - Željka Krsnik
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
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14
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Rothenberger A, Heinrich H. Co-Occurrence of Tic Disorders and Attention-Deficit/Hyperactivity Disorder-Does It Reflect a Common Neurobiological Background? Biomedicines 2022; 10:biomedicines10112950. [PMID: 36428518 PMCID: PMC9687745 DOI: 10.3390/biomedicines10112950] [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: 09/21/2022] [Revised: 11/06/2022] [Accepted: 11/09/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The co-existence of tic disorders and attention-deficit/hyperactivity disorder (TD + ADHD) has proven to be highly important in daily clinical practice. The factor ADHD is not only associated with further comorbidities, but also has a long-term negative psychosocial effect, while the factor TD is usually less disturbing for the major part of the patients. It remains unclear how far this is related to a different neurobiological background of the associated disorders or whether TD + ADHD reflects a common one. OBJECTIVE This review provides an update on the neurobiological background of TD + ADHD in order to better understand and treat this clinical problem, while clarifying whether an additive model of TD + ADHD holds true and should be used as a basis for further clinical recommendations. METHOD A comprehensive research of the literature was conducted and analyzed, including existing clinical guidelines for both TD and ADHD. Besides genetical and environmental risk factors, brain structure and functions, neurophysiological processes and neurotransmitter systems were reviewed. RESULTS Only a limited number of empirical studies on the neurobiological background of TD and ADHD have taken the peculiarity of co-existing TD + ADHD into consideration, and even less studies have used a 2 × 2 factorial design in order to disentangle the impact/effects of the factors of TD versus those of ADHD. Nevertheless, the assumption that TD + ADHD can best be seen as an additive model at all levels of investigation was strengthened, although some overlap of more general, disorder non-specific aspects seem to exist. CONCLUSION Beyond stress-related transdiagnostic aspects, separate specific disturbances in certain neuronal circuits may lead to disorder-related symptoms inducing TD + ADHD in an additive way. Hence, within a classificatory categorical framework, the dimensional aspects of multilevel diagnostic-profiling seem to be a helpful precondition for personalized decisions on counselling and disorder-specific treatment in TD + ADHD.
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Affiliation(s)
- Aribert Rothenberger
- Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence:
| | - Hartmut Heinrich
- Neurocare Group, 80331 Munich, Germany
- Kbo-Heckscher-Klinikum, 81539 Munich, Germany
- Research Institute Brainclinics, Brainclinics Foundation, 6524 AD Nijmegen, The Netherlands
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15
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Alvand A, Kuruvilla-Mathew A, Kirk IJ, Roberts RP, Pedersen M, Purdy SC. Altered brain network topology in children with auditory processing disorder: A resting-state multi-echo fMRI study. Neuroimage Clin 2022; 35:103139. [PMID: 36002970 PMCID: PMC9421544 DOI: 10.1016/j.nicl.2022.103139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022]
Abstract
Children with auditory processing disorder (APD) experience hearing difficulties, particularly in the presence of competing sounds, despite having normal audiograms. There is considerable debate on whether APD symptoms originate from bottom-up (e.g., auditory sensory processing) and/or top-down processing (e.g., cognitive, language, memory). A related issue is that little is known about whether functional brain network topology is altered in APD. Therefore, we used resting-state functional magnetic resonance imaging data to investigate the functional brain network organization of 57 children from 8 to 14 years old, diagnosed with APD (n = 28) and without hearing difficulties (healthy control, HC; n = 29). We applied complex network analysis using graph theory to assess the whole-brain integration and segregation of functional networks and brain hub architecture. Our results showed children with APD and HC have similar global network properties -i.e., an average of all brain regions- and modular organization. Still, the APD group showed different hub architecture in default mode-ventral attention, somatomotor and frontoparietal-dorsal attention modules. At the nodal level -i.e., single-brain regions-, we observed decreased participation coefficient (PC - a measure quantifying the diversity of between-network connectivity) in auditory cortical regions in APD, including bilateral superior temporal gyrus and left middle temporal gyrus. Beyond auditory regions, PC was also decreased in APD in bilateral posterior temporo-occipital cortices, left intraparietal sulcus, and right posterior insular cortex. Correlation analysis suggested a positive association between PC in the left parahippocampal gyrus and the listening-in-spatialized-noise -sentences task where APD children were engaged in auditory perception. In conclusion, our findings provide evidence of altered brain network organization in children with APD, specific to auditory networks, and shed new light on the neural systems underlying children's listening difficulties.
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Affiliation(s)
- Ashkan Alvand
- School of Psychology, Faculty of Science, The University of Auckland, Auckland, New Zealand; Eisdell Moore Centre, Auckland, New Zealand.
| | - Abin Kuruvilla-Mathew
- School of Psychology, Faculty of Science, The University of Auckland, Auckland, New Zealand; Eisdell Moore Centre, Auckland, New Zealand.
| | - Ian J Kirk
- School of Psychology, Faculty of Science, The University of Auckland, Auckland, New Zealand; Eisdell Moore Centre, Auckland, New Zealand; Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
| | - Reece P Roberts
- School of Psychology, Faculty of Science, The University of Auckland, Auckland, New Zealand; Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
| | - Mangor Pedersen
- School of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand.
| | - Suzanne C Purdy
- School of Psychology, Faculty of Science, The University of Auckland, Auckland, New Zealand; Eisdell Moore Centre, Auckland, New Zealand; Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
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16
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Gordon EM, Laumann TO, Marek S, Newbold DJ, Hampton JM, Seider NA, Montez DF, Nielsen AM, Van AN, Zheng A, Miller R, Siegel JS, Kay BP, Snyder AZ, Greene DJ, Schlaggar BL, Petersen SE, Nelson SM, Dosenbach NUF. Individualized Functional Subnetworks Connect Human Striatum and Frontal Cortex. Cereb Cortex 2022; 32:2868-2884. [PMID: 34718460 PMCID: PMC9247416 DOI: 10.1093/cercor/bhab387] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 11/14/2022] Open
Abstract
The striatum and cerebral cortex are interconnected via multiple recurrent loops that play a major role in many neuropsychiatric conditions. Primate corticostriatal connections can be precisely mapped using invasive tract-tracing. However, noninvasive human research has not mapped these connections with anatomical precision, limited in part by the practice of averaging neuroimaging data across individuals. Here we utilized highly sampled resting-state functional connectivity MRI for individual-specific precision functional mapping (PFM) of corticostriatal connections. We identified ten individual-specific subnetworks linking cortex-predominately frontal cortex-to striatum, most of which converged with nonhuman primate tract-tracing work. These included separable connections between nucleus accumbens core/shell and orbitofrontal/medial frontal gyrus; between anterior striatum and dorsomedial prefrontal cortex; between dorsal caudate and lateral prefrontal cortex; and between middle/posterior putamen and supplementary motor/primary motor cortex. Two subnetworks that did not converge with nonhuman primates were connected to cortical regions associated with human language function. Thus, precision subnetworks identify detailed, individual-specific, neurobiologically plausible corticostriatal connectivity that includes human-specific language networks.
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Affiliation(s)
- Evan M Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jacqueline M Hampton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nicole A Seider
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - David F Montez
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ashley M Nielsen
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL 60611, USA
| | - Andrew N Van
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Annie Zheng
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ryland Miller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joshua S Siegel
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Benjamin P Kay
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Abraham Z Snyder
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Deanna J Greene
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Steven E Petersen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Steven M Nelson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55454, USA
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55454, USA
| | - Nico U F Dosenbach
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Kennedy Krieger Institute, Baltimore, MD 21205, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110, USA
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17
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D’Andrea CB, Kenley JK, Montez DF, Mirro AE, Miller RL, Earl EA, Koller JM, Sung S, Yacoub E, Elison JT, Fair DA, Dosenbach NU, Rogers CE, Smyser CD, Greene DJ. Real-time motion monitoring improves functional MRI data quality in infants. Dev Cogn Neurosci 2022; 55:101116. [PMID: 35636344 PMCID: PMC9157440 DOI: 10.1016/j.dcn.2022.101116] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/24/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Imaging the infant brain with MRI has improved our understanding of early neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are typically scanned while asleep, they commonly exhibit motion during scanning causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Here, we compared average framewise displacement (FD), a proxy for head motion, and the amount of usable fMRI data (FD ≤ 0.2 mm) in infants scanned with (n = 407) and without FIRMM (n = 295). Using a mixed-effects model, we found that the addition of FIRMM to current state-of-the-art infant scanning protocols significantly increased the amount of usable fMRI data acquired per infant, demonstrating its value for research and clinical infant neuroimaging. MRI studies of the infant brain are critical for studying early neurodevelopment. Head motion diminishes MRI data quality, which can adversely affect infant imaging. We show that real-time head motion monitoring improves fMRI scan quality in infants. Being able to monitor motion during fMRI acquisition improves scanning efficiency.
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18
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de la Fuente A, Vignaga SS, Prado P, Figueras R, Lizaso L, Manes F, Cetkovich M, Tagliazucchi E, Torralva T. Early onset consumption of coca paste associated with executive-attention vulnerability markers linked to caudate-frontal structural and functional abnormalities. Drug Alcohol Depend 2021; 227:108926. [PMID: 34364191 DOI: 10.1016/j.drugalcdep.2021.108926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/07/2021] [Accepted: 06/22/2021] [Indexed: 10/20/2022]
Abstract
Coca paste is the most popular form of smoked cocaine (SC) in Latin America and also the most widespread among adolescents in vulnerable sectors of society, thus representing a significant public health concern. Despite evidence suggesting that abnormal executive-attention function is predictive of addiction to stimulant drugs, no study to date has compared clinically relevant neuropsychological (NPS) and physiological variables between individuals with histories of smoked cocaine dependence (SCD) and insufflated cocaine hydrochloride dependence (ICD). In this study we evaluated 25 SCD and 22 ICD subjects matched by poly-consumption profiles, and 25 healthy controls (CTR) matched by age, gender, education, and socioeconomic status. An exhaustive NPS battery was used to assess cognitive domains (attention, executive functions, fluid intelligence, memory, language and social cognition). We complemented this assessment with structural (MRI) and functional (fMRI) neuroimaging data. We found that executive function and attention impairments could be explained by the administration route of cocaine, with strongest impairments for the SCD group. SCD also presented reduced grey matter density relative to ICD and CTR in the bilateral caudate, a key area for executive and attentional function. Functional connectivity between left caudate and inferior frontal regions mediated the association between brain structure and behavioral performance. Our results highlight the relevance of assessing the route of administration of stimulants, both in clinical and research settings.
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Affiliation(s)
- Alethia de la Fuente
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Argentina; Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina.
| | - Sofía Schurmann Vignaga
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Pilar Prado
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Rosario Figueras
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Lucia Lizaso
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Facundo Manes
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Marcelo Cetkovich
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Enzo Tagliazucchi
- Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile
| | - Teresa Torralva
- Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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19
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Zhang J, Kucyi A, Raya J, Nielsen AN, Nomi JS, Damoiseaux JS, Greene DJ, Horovitz SG, Uddin LQ, Whitfield-Gabrieli S. What have we really learned from functional connectivity in clinical populations? Neuroimage 2021; 242:118466. [PMID: 34389443 DOI: 10.1016/j.neuroimage.2021.118466] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/06/2021] [Accepted: 08/09/2021] [Indexed: 02/09/2023] Open
Abstract
Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to the promise of the approach across conceptual, technical, and practical levels. With an already vast and steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, and neurological diseases and disorders in which FC is a primary measure, we aim here to provide a high-level synthesis of major concepts that have arisen from FC findings in a manner that cuts across different clinical conditions and sheds light on overarching principles. We highlight that FC has allowed us to discover the ubiquity of intrinsic functional networks across virtually all brains and clarify typical patterns of neurodevelopment over the lifespan. This understanding of typical FC maturation with age has provided important benchmarks against which to evaluate divergent maturation in early life and degeneration in late life. This in turn has led to the important insight that many clinical conditions are associated with complex, distributed, network-level changes in the brain, as opposed to solely focal abnormalities. We further emphasize the important role that FC studies have played in supporting a dimensional approach to studying transdiagnostic clinical symptoms and in enhancing the multimodal characterization and prediction of the trajectory of symptom progression across conditions. We highlight the unprecedented opportunity offered by FC to probe functional abnormalities in clinical conditions where brain function could not be easily studied otherwise, such as in disorders of consciousness. Lastly, we suggest high priority areas for future research and acknowledge critical barriers associated with the use of FC methods, particularly those related to artifact removal, data denoising and feasibility in clinical contexts.
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Affiliation(s)
- Jiahe Zhang
- Department of Psychology, 125 Nightingale Hall, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.
| | - Aaron Kucyi
- Department of Psychology, 125 Nightingale Hall, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA
| | - Jovicarole Raya
- Department of Psychology, 125 Nightingale Hall, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA
| | - Ashley N Nielsen
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jason S Nomi
- Department of Psychology, University of Miami, Miami, FL 33124, USA
| | - Jessica S Damoiseaux
- Institute of Gerontology and Department of Psychology, Wayne State University, Detroit, MI 48202, USA
| | - Deanna J Greene
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92093, USA
| | | | - Lucina Q Uddin
- Department of Psychology, University of Miami, Miami, FL 33124, USA
| | - Susan Whitfield-Gabrieli
- Department of Psychology, 125 Nightingale Hall, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA
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20
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Mitchell WJ, Tepfer LJ, Henninger NM, Perlman SB, Murty VP, Helion C. Developmental Differences in Affective Representation Between Prefrontal and Subcortical Structures. Soc Cogn Affect Neurosci 2021; 17:nsab093. [PMID: 34331538 PMCID: PMC8881632 DOI: 10.1093/scan/nsab093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/16/2021] [Accepted: 07/30/2021] [Indexed: 01/09/2023] Open
Abstract
Developmental studies have identified differences in prefrontal and subcortical affective structures between children and adults, which correspond with observed cognitive and behavioral maturations from relatively simplistic emotional experiences and expressions to more nuanced, complex ones. However, developmental changes in the neural representation of emotions have not yet been well explored. It stands to reason that adults and children may demonstrate observable differences in the representation of affect within key neurological structures implicated in affective cognition. Forty-five participants (25 children; 20 adults) passively viewed positive, negative, and neutral clips from popular films while undergoing functional magnetic resonance imaging (fMRI). Using representational similarity analysis (RSA) to measure variability in neural pattern similarity, we found developmental differences between children and adults in the amygdala, nucleus accumbens (NAcc), and ventromedial prefrontal cortex (vmPFC), such that children generated less pattern similarity within subcortical structures relative to the vmPFC; a phenomenon not replicated among their older counterparts. Furthermore, children generated valence-specific differences in representational patterns across regions; these valence-specific patterns were not found in adults. These results may suggest that affective representations grow increasingly dissimilar over development as individuals mature from visceral affective responses to more evaluative analyses.
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Affiliation(s)
- William J Mitchell
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
| | - Lindsey J Tepfer
- Department of Psychological and Brain Sciences, Moore Hall, Dartmouth College, Hanover, NH 03755, USA
| | - Nicole M Henninger
- Klein College of Media and Communication, Annenberg Hall, Temple University, Philadelphia, PA 19122, USA
| | - Susan B Perlman
- Department of Psychiatry, Washington University of St Louis, St Louis, MO 63110, USA
| | - Vishnu P Murty
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
| | - Chelsea Helion
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
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21
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Vorobyov V, Deev A, Sengpiel F, Nebogatikov V, Ustyugov AA. Cortical and Striatal Electroencephalograms and Apomorphine Effects in the FUS Mouse Model of Amyotrophic Lateral Sclerosis. J Alzheimers Dis 2021; 81:1429-1443. [PMID: 33935079 DOI: 10.3233/jad-201472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is characterized by degeneration of motor neurons resulting in muscle atrophy. In contrast to the lower motor neurons, the role of upper (cortical) neurons in ALS is yet unclear. Maturation of locomotor networks is supported by dopaminergic (DA) projections from substantia nigra to the spinal cord and striatum. OBJECTIVE To examine the contribution of DA mediation in the striatum-cortex networks in ALS progression. METHODS We studied electroencephalogram (EEG) from striatal putamen (Pt) and primary motor cortex (M1) in ΔFUS(1-359)-transgenic (Tg) mice, a model of ALS. EEG from M1 and Pt were recorded in freely moving young (2-month-old) and older (5-month-old) Tg and non-transgenic (nTg) mice. EEG spectra were analyzed for 30 min before and for 60 min after systemic injection of a DA mimetic, apomorphine (APO), and saline. RESULTS In young Tg versus nTg mice, baseline EEG spectra in M1 were comparable, whereas in Pt, beta activity in Tg mice was enhanced. In older Tg versus nTg mice, beta dominated in EEG from both M1 and Pt, whereas theta and delta 2 activities were reduced. In younger Tg versus nTg mice, APO increased theta and decreased beta 2 predominantly in M1. In older mice, APO effects in these frequency bands were inversed and accompanied by enhanced delta 2 and attenuated alpha in Tg versus nTg mice. CONCLUSION We suggest that revealed EEG modifications in ΔFUS(1-359)-transgenic mice are associated with early alterations in the striatum-cortex interrelations and DA transmission followed by adaptive intracerebral transformations.
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Affiliation(s)
- Vasily Vorobyov
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russian Federation
| | - Alexander Deev
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Russian Federation
| | - Frank Sengpiel
- School of Biosciences and Neuroscience & Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Vladimir Nebogatikov
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, Chernogolovka, Russian Federation
| | - Aleksey A Ustyugov
- Institute of Physiologically Active Compounds, Russian Academy of Sciences, Chernogolovka, Russian Federation
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22
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Zhu W, Huang H, Yang S, Luo X, Zhu W, Xu S, Meng Q, Zuo C, Zhao K, Liu H, Liu Y, Wang W. Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment. J Alzheimers Dis 2020; 71:461-476. [PMID: 31403946 DOI: 10.3233/jad-190174] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH) are common in older adults and are associated with cognitive decline. However, little is known about the functional changes underlying cognitive decline in WMH subjects. OBJECTIVES To investigate whole-brain functional connectivity (FC) underpinnings of cognitive decline in WMH subjects using univariate and multivariate analyses. METHODS Twenty-three WMH subjects with mild cognitive impairment (WMH-MCI), 43 WMH subjects with no cognitive impairment (WMH-nCI), and 55 healthy controls underwent resting-state functional MRI scans. Whole-brain FC was calculated using the fine-grained human Brainnetome Atlas, followed by performance of between-group comparisons and FC-cognition correlation analysis. A multivariate analysis using support vector machine (SVM) was performed to classify WMH-MCI and WMH-nCI subjects based on FC. RESULTS Both the WMH-MCI and WMH-nCI subjects exhibited characteristic impaired FC patterns. Markedly reduced FC involving subcortical nuclei and cortical hub regions of cognitive networks, especially the cingulate cortex, was identified in the WMH-MCI patients. In the WMH-MCI group, several connections involving the cingulate cortex were associated with cognitive decline. The exploratory mediation analyses indicated that FC alterations could partially explain the association between WMH and cognition. Furthermore, an SVM classifier based on FC distinguished WMH-MCI and WMH-nCI subjects with 78.8% accuracy. Connections that contributed most to the classification showed a similar distribution as the connections identified in the univariate analysis. CONCLUSIONS This study provides a new window into the pathophysiology of cognitive impairment in WMH subjects and offer a novel and potential approach for early detection of the cognitive impairment in WMH subjects at the individual level.
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Affiliation(s)
- Wenhao Zhu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiqi Yang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shabei Xu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Meng
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengchao Zuo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Zhao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Information Science and Engineering, Shandong Normal University, Ji'nan, China
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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23
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Bertino S, Basile GA, Bramanti A, Anastasi GP, Quartarone A, Milardi D, Cacciola A. Spatially coherent and topographically organized pathways of the human globus pallidus. Hum Brain Mapp 2020; 41:4641-4661. [PMID: 32757349 PMCID: PMC7555102 DOI: 10.1002/hbm.25147] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/29/2020] [Accepted: 07/12/2020] [Indexed: 12/18/2022] Open
Abstract
Internal and external segments of globus pallidus (GP) exert different functions in basal ganglia circuitry, despite their main connectional systems share the same topographical organization, delineating limbic, associative, and sensorimotor territories. The identification of internal GP sensorimotor territory has therapeutic implications in functional neurosurgery settings. This study is aimed at assessing the spatial coherence of striatopallidal, subthalamopallidal, and pallidothalamic pathways by using tractography‐derived connectivity‐based parcellation (CBP) on high quality diffusion MRI data of 100 unrelated healthy subjects from the Human Connectome Project. A two‐stage hypothesis‐driven CBP approach has been carried out on the internal and external GP. Dice coefficient between functionally homologous pairs of pallidal maps has been computed. In addition, reproducibility of parcellation according to different pathways of interest has been investigated, as well as spatial relations between connectivity maps and existing optimal stimulation points for dystonic patients. The spatial organization of connectivity clusters revealed anterior limbic, intermediate associative and posterior sensorimotor maps within both internal and external GP. Dice coefficients showed high degree of coherence between functionally similar maps derived from the different bundles of interest. Sensorimotor maps derived from the subthalamopallidal pathway resulted to be the nearest to known optimal pallidal stimulation sites for dystonic patients. Our findings suggest that functionally homologous afferent and efferent connections may share similar spatial territory within the GP and that subcortical pallidal connectional systems may have distinct implications in the treatment of movement disorders.
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Affiliation(s)
- Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | - Giuseppe Pio Anastasi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Angelo Quartarone
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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24
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Gordon EM, Laumann TO, Marek S, Raut RV, Gratton C, Newbold DJ, Greene DJ, Coalson RS, Snyder AZ, Schlaggar BL, Petersen SE, Dosenbach NUF, Nelson SM. Default-mode network streams for coupling to language and control systems. Proc Natl Acad Sci U S A 2020; 117:17308-17319. [PMID: 32632019 PMCID: PMC7382234 DOI: 10.1073/pnas.2005238117] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The human brain is organized into large-scale networks identifiable using resting-state functional connectivity (RSFC). These functional networks correspond with broad cognitive domains; for example, the Default-mode network (DMN) is engaged during internally oriented cognition. However, functional networks may contain hierarchical substructures corresponding with more specific cognitive functions. Here, we used individual-specific precision RSFC to test whether network substructures could be identified in 10 healthy human brains. Across all subjects and networks, individualized network subdivisions were more valid-more internally homogeneous and better matching spatial patterns of task activation-than canonical networks. These measures of validity were maximized at a hierarchical scale that contained ∼83 subnetworks across the brain. At this scale, nine DMN subnetworks exhibited topographical similarity across subjects, suggesting that this approach identifies homologous neurobiological circuits across individuals. Some DMN subnetworks matched known features of brain organization corresponding with cognitive functions. Other subnetworks represented separate streams by which DMN couples with other canonical large-scale networks, including language and control networks. Together, this work provides a detailed organizational framework for studying the DMN in individual humans.
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Affiliation(s)
- Evan M Gordon
- Veterans Integrated Service Network 17 Center of Excellence for Research on Returning War Veterans, US Department of Veterans Affairs, Waco, TX 76711;
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychology and Neuroscience, Baylor University, Waco, TX 76789
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Scott Marek
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Ryan V Raut
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL 60208
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Rebecca S Coalson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Abraham Z Snyder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
- Department of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO 63110
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110
| | - Steven M Nelson
- Veterans Integrated Service Network 17 Center of Excellence for Research on Returning War Veterans, US Department of Veterans Affairs, Waco, TX 76711
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychology and Neuroscience, Baylor University, Waco, TX 76789
- Department of Psychiatry and Behavioral Science, Texas A&M Health Science Center, Bryan, TX 77807
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25
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Black KJ, Kim S, Schlaggar BL, Greene DJ. The New Tics study: A Novel Approach to Pathophysiology and Cause of Tic Disorders. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2020; 5:e200012. [PMID: 32587895 PMCID: PMC7316401 DOI: 10.20900/jpbs.20200012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
We report on the ongoing project "The New Tics Study: A Novel Approach to Pathophysiology and Cause of Tic Disorders," describing the work completed to date, ongoing studies and long-term goals. The overall goals of this research are to study the pathophysiology of Provisional Tic Disorder, and to study tic remission (or improvement) in a prospective fashion. Preliminary data collection for the project began almost 10 years ago. The current study is nearing completion of its third year, and has already reported several novel and important results. First, surprisingly, at least 90% of children who had experienced tics for only a mean of 3 months still had tics at the 12-month anniversary of their first tic, though in some cases tics were seen only with remote video observation of the child sitting alone. Thus almost all of them now had a DSM-5 diagnosis of Tourette's Disorder or Persistent (Chronic) Tic Disorder. Baseline clinical features that predicted 12-month outcome included tic severity, subsyndromal autism spectrum symptoms, an anxiety disorder, and a history of 3 or more phonic tics. Second, we found that poorer tic suppression ability when immediately rewarded for suppression predicted greater tic severity at follow-up. Third, striatal volumes did not predict outcome as hypothesized, but a larger hippocampus at baseline predicted worse severity at follow-up. Enrollment and data collection continue, including functional connectivity MRI (fcMRI) imaging, and additional analyses are planned once the full sample is enrolled.
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Affiliation(s)
- Kevin J. Black
- Departments of Psychiatry, Neurology, Radiology and Neuroscience, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA
| | - Soyoung Kim
- Departments of Psychiatry and Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA
| | - Bradley L. Schlaggar
- Kennedy Krieger Institute, Baltimore, MD 21205; and Departments of Neurology and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Deanna J. Greene
- Departments of Psychiatry and Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA
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26
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Ferradal SL, Gagoski B, Jaimes C, Yi F, Carruthers C, Vu C, Litt JS, Larsen R, Sutton B, Grant PE, Zöllei L. System-Specific Patterns of Thalamocortical Connectivity in Early Brain Development as Revealed by Structural and Functional MRI. Cereb Cortex 2020; 29:1218-1229. [PMID: 29425270 DOI: 10.1093/cercor/bhy028] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Indexed: 01/31/2023] Open
Abstract
The normal development of thalamocortical connections plays a critical role in shaping brain connectivity in the prenatal and postnatal periods. Recent studies using advanced magnetic resonance imaging (MRI) techniques in neonates and infants have shown that abnormal thalamocortical connectivity is associated with adverse neurodevelopmental outcomes. However, all these studies have focused on a single neuroimaging modality, overlooking the dynamic relationship between structure and function at this early stage. Here, we study the relationship between structural and functional thalamocortical connectivity patterns derived from healthy full-term infants scanned with diffusion-weighted MRI and resting-state functional MRI within the first weeks of life (mean gestational age = 39.3 ± 1.2 weeks; age at scan = 24.2 ± 7.9 days). Our results show that while there is, in general, good spatial agreement between both MRI modalities, there are regional variations that are system-specific: regions involving primary-sensory cortices exhibit greater structural/functional overlap, whereas higher-order association areas such as temporal and posterior parietal cortices show divergence in spatial patterns of each modality. This variability illustrates the complementarity of both modalities and highlights the importance of multimodal approaches.
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Affiliation(s)
| | - Borjan Gagoski
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Camilo Jaimes
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Francesca Yi
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Catherine Vu
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Ryan Larsen
- Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Brad Sutton
- Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - P Ellen Grant
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lilla Zöllei
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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27
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Cui Z, Li H, Xia CH, Larsen B, Adebimpe A, Baum GL, Cieslak M, Gur RE, Gur RC, Moore TM, Oathes DJ, Alexander-Bloch AF, Raznahan A, Roalf DR, Shinohara RT, Wolf DH, Davatzikos C, Bassett DS, Fair DA, Fan Y, Satterthwaite TD. Individual Variation in Functional Topography of Association Networks in Youth. Neuron 2020; 106:340-353.e8. [PMID: 32078800 PMCID: PMC7182484 DOI: 10.1016/j.neuron.2020.01.029] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 11/22/2019] [Accepted: 01/22/2020] [Indexed: 01/08/2023]
Abstract
The spatial distribution of large-scale functional networks on the cerebral cortex differs between individuals and is particularly variable in association networks that are responsible for higher-order cognition. However, it remains unknown how this functional topography evolves in development and supports cognition. Capitalizing on advances in machine learning and a large sample imaged with 27 min of high-quality functional MRI (fMRI) data (n = 693, ages 8-23 years), we delineate how functional topography evolves during youth. We found that the functional topography of association networks is refined with age, allowing accurate prediction of unseen individuals' brain maturity. The cortical representation of association networks predicts individual differences in executive function. Finally, variability of functional topography is associated with fundamental properties of brain organization, including evolutionary expansion, cortical myelination, and cerebral blood flow. Our results emphasize the importance of considering the plasticity and diversity of functional neuroanatomy during development and suggest advances in personalized therapeutics.
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Affiliation(s)
- Zaixu Cui
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hongming Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Cedric H Xia
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bart Larsen
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Azeez Adebimpe
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Graham L Baum
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matt Cieslak
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Desmond J Oathes
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuromodulation in Depression and Stress, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aaron F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Yale University, New Haven, CT 06520, USA
| | - Armin Raznahan
- Developmental Neurogenomics Unit, Intramural Research Program, National Institutes of Mental Health, Bethesda, MD 20892, USA
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell T Shinohara
- Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christos Davatzikos
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA; Departments of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Danielle S Bassett
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA; Departments of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA; Santa Fe Institute, Santa Fe, NM 87501, USA
| | - Damien A Fair
- Department of Behavioral Neuroscience, Department of Psychiatry, Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR 97239, USA
| | - Yong Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
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28
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White RL, Campbell MC, Yang D, Shannon W, Snyder AZ, Perlmutter JS. Little Change in Functional Brain Networks Following Acute Levodopa in Drug-Naïve Parkinson's Disease. Mov Disord 2020; 35:499-503. [PMID: 31854465 PMCID: PMC7138409 DOI: 10.1002/mds.27942] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/01/2019] [Accepted: 11/06/2019] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE The objective of this study was to investigate the effects of levodopa on functional brain networks in Parkinson's disease. METHODS We acquired resting state functional magnetic resonance imaging in 30 drug-naïve participants with Parkinson's disease and 20 age-matched healthy controls. Each participant was studied following administration of a single oral dose of either levodopa or placebo in a randomized, double-blind, crossover design. RESULTS The greatest observed differences in functional connectivity were between Parkinson's disease versus control participants, independent of pharmacologic intervention. By contrast, the effects of levodopa were much smaller and detectable only in the Parkinson's disease group. Moreover, although levodopa administration in the Parkinson's disease group measurably improved motor performance, it did not increase the similarity of functional connectivity in Parkinson's disease to the control group. CONCLUSIONS We found that a single, small dose of levodopa did not normalize functional connectivity in drug-naïve Parkinson's disease. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Robert L. White
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
- John Cochrane VA Medical Center, Neurology Section, Saint Louis, MO, USA
| | - Meghan C. Campbell
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | | | | | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Joel S. Perlmutter
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, Saint Louis, MO, USA
- Program in Occupational Therapy, Washington University School of Medicine, Saint Louis, MO, USA
- Program in Physical Therapy, Washington University School of Medicine, Saint Louis, MO, USA
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29
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Greene DJ, Marek S, Gordon EM, Siegel JS, Gratton C, Laumann TO, Gilmore AW, Berg JJ, Nguyen AL, Dierker D, Van AN, Ortega M, Newbold DJ, Hampton JM, Nielsen AN, McDermott KB, Roland JL, Norris SA, Nelson SM, Snyder AZ, Schlaggar BL, Petersen SE, Dosenbach NUF. Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. Neuron 2020; 105:742-758.e6. [PMID: 31836321 PMCID: PMC7035165 DOI: 10.1016/j.neuron.2019.11.012] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 08/28/2019] [Accepted: 11/07/2019] [Indexed: 10/25/2022]
Abstract
The basal ganglia, thalamus, and cerebral cortex form an interconnected network implicated in many neurological and psychiatric illnesses. A better understanding of cortico-subcortical circuits in individuals will aid in development of personalized treatments. Using precision functional mapping-individual-specific analysis of highly sampled human participants-we investigated individual-specific functional connectivity between subcortical structures and cortical functional networks. This approach revealed distinct subcortical zones of network specificity and multi-network integration. Integration zones were systematic, with convergence of cingulo-opercular control and somatomotor networks in the ventral intermediate thalamus (motor integration zones), dorsal attention and visual networks in the pulvinar, and default mode and multiple control networks in the caudate nucleus. The motor integration zones were present in every individual and correspond to consistently successful sites of deep brain stimulation (DBS; essential tremor). Individually variable subcortical zones correspond to DBS sites with less consistent treatment effects, highlighting the importance of PFM for neurosurgery, neurology, and psychiatry.
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Affiliation(s)
- Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Scott Marek
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Evan M Gordon
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Joshua S Siegel
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA; Department of Neurology, Northwestern University, Evanston, IL, USA
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Adrian W Gilmore
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey J Berg
- Department of Psychology, New York University, New York, NY, USA
| | - Annie L Nguyen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Donna Dierker
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Mario Ortega
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacqueline M Hampton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ashley N Nielsen
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, USA
| | - Kathleen B McDermott
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, USA
| | - Jarod L Roland
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Scott A Norris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Steven M Nelson
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven E Petersen
- Mallinckrodt Institute 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 Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Nico U F Dosenbach
- Mallinckrodt Institute 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 Biomedical Engineering, Washington University, St. Louis, MO, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA; Program in Occupational Therapy, Washington University, St. Louis, MO, USA.
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30
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Seitzman BA, Gratton C, Marek S, Raut RV, Dosenbach NUF, Schlaggar BL, Petersen SE, Greene DJ. A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum. Neuroimage 2020; 206:116290. [PMID: 31634545 PMCID: PMC6981071 DOI: 10.1016/j.neuroimage.2019.116290] [Citation(s) in RCA: 141] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/15/2019] [Accepted: 10/16/2019] [Indexed: 12/15/2022] Open
Abstract
An important aspect of network-based analysis is robust node definition. This issue is critical for functional brain network analyses, as poor node choice can lead to spurious findings and misleading inferences about functional brain organization. Two sets of functional brain nodes from our group are well represented in the literature: (1) 264 volumetric regions of interest (ROIs) reported in Power et al., 2011, and (2) 333 cortical surface parcels reported in Gordon et al., 2016. However, subcortical and cerebellar structures are either incompletely captured or missing from these ROI sets. Therefore, properties of functional network organization involving the subcortex and cerebellum may be underappreciated thus far. Here, we apply a winner-take-all partitioning method to resting-state fMRI data to generate novel functionally-constrained ROIs in the thalamus, basal ganglia, amygdala, hippocampus, and cerebellum. We validate these ROIs in three datasets using several criteria, including agreement with existing literature and anatomical atlases. Further, we demonstrate that combining these ROIs with established cortical ROIs recapitulates and extends previously described functional network organization. This new set of ROIs is made publicly available for general use, including a full list of MNI coordinates and functional network labels.
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Affiliation(s)
- Benjamin A Seitzman
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
| | - Caterina Gratton
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
| | - Scott Marek
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
| | - Ryan V Raut
- Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
| | - Nico U F Dosenbach
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Occupational Therapy, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USA.
| | - Bradley L Schlaggar
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
| | - Steven E Petersen
- Department of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Dr, St. Louis, MO, 63130, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USA.
| | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA.
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31
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Nielsen AN, Gratton C, Church JA, Dosenbach NU, Black KJ, Petersen SE, Schlaggar BL, Greene DJ. Atypical Functional Connectivity in Tourette Syndrome Differs Between Children and Adults. Biol Psychiatry 2020; 87:164-173. [PMID: 31472979 PMCID: PMC6925331 DOI: 10.1016/j.biopsych.2019.06.021] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Tourette syndrome (TS) is a neuropsychiatric disorder with symptomatology that typically changes over development. Whether and how brain function in TS also differs across development has been largely understudied. Here, we used functional connectivity magnetic resonance imaging to examine whole-brain functional networks in children and adults with TS. METHODS Multivariate classification methods were used to find patterns among functional connections that distinguish individuals with TS from control subjects separately for children and adults (N = 202). We tested whether the patterns of connections that classify diagnosis in one age group (e.g., children) could classify diagnosis in another age group (e.g., adults). We also tested whether the developmental trajectory of these connections was altered in TS. RESULTS Diagnostic classification was successful in children and adults separately but expressly did not generalize across age groups, suggesting that the patterns of functional connections that best distinguished individuals with TS from control subjects were age specific. Developmental patterns among these functional connections used for diagnostic classification deviated from typical development. Brain networks in childhood TS appeared "older" and brain networks in adulthood TS appeared "younger" in comparison with typically developing individuals. CONCLUSIONS Our results demonstrate that brain networks are differentially altered in children and adults with TS. The observed developmental trajectory of affected connections is consistent with theories of accelerated and/or delayed maturation, but may also involve anomalous developmental pathways. These findings further our understanding of neurodevelopmental trajectories in TS and carry implications for future applications aimed at predicting the clinical course of TS in individuals over development.
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Affiliation(s)
- Ashley N. Nielsen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL,Department of Neuroscience, Northwestern University, Evanston, IL
| | - Jessica A. Church
- Department of Psychology, The University of Texas at Austin, Austin, TX
| | - Nico U.F. Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO,Department of Pediatrics, Washington University School of Medicine, St. Louis, MO,Department of Occupational Therapy, Washington University School of Medicine, St. Louis, MO,Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO
| | - Kevin J. Black
- Department of Neurology, Washington University School of Medicine, St. Louis, MO,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO,Department of Neuroscience, Washington University School of Medicine, St. Louis, MO
| | - Steven E. Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO,Department of Neuroscience, Washington University School of Medicine, St. Louis, MO
| | - Bradley L. Schlaggar
- Kennedy Krieger Institute, Baltimore, MD,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD,Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Deanna J. Greene
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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32
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Marek S, Tervo-Clemmens B, Nielsen AN, Wheelock MD, Miller RL, Laumann TO, Earl E, Foran WW, Cordova M, Doyle O, Perrone A, Miranda-Dominguez O, Feczko E, Sturgeon D, Graham A, Hermosillo R, Snider K, Galassi A, Nagel BJ, Ewing SWF, Eggebrecht AT, Garavan H, Dale AM, Greene DJ, Barch DM, Fair DA, Luna B, Dosenbach NUF. Identifying reproducible individual differences in childhood functional brain networks: An ABCD study. Dev Cogn Neurosci 2019; 40:100706. [PMID: 31614255 PMCID: PMC6927479 DOI: 10.1016/j.dcn.2019.100706] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 08/01/2019] [Accepted: 08/21/2019] [Indexed: 02/08/2023] Open
Abstract
The 21-site Adolescent Brain Cognitive Development (ABCD) study provides an unparalleled opportunity to characterize functional brain development via resting-state functional connectivity (RSFC) and to quantify relationships between RSFC and behavior. This multi-site data set includes potentially confounding sources of variance, such as differences between data collection sites and/or scanner manufacturers, in addition to those inherent to RSFC (e.g., head motion). The ABCD project provides a framework for characterizing and reproducing RSFC and RSFC-behavior associations, while quantifying the extent to which sources of variability bias RSFC estimates. We quantified RSFC and functional network architecture in 2,188 9-10-year old children from the ABCD study, segregated into demographically-matched discovery (N = 1,166) and replication datasets (N = 1,022). We found RSFC and network architecture to be highly reproducible across children. We did not observe strong effects of site; however, scanner manufacturer effects were large, reproducible, and followed a "short-to-long" association with distance between regions. Accounting for potential confounding variables, we replicated that RSFC between several higher-order networks was related to general cognition. In sum, we provide a framework for how to characterize RSFC-behavior relationships in a rigorous and reproducible manner using the ABCD dataset and other large multi-site projects.
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Affiliation(s)
- Scott Marek
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, 63110, USA.
| | | | - Ashley N Nielsen
- Department of Medical Social Sciences, Northwestern University, Chicago, IL 60611, USA
| | - Muriah D Wheelock
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Ryland L Miller
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Timothy O Laumann
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Eric Earl
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - William W Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh PA, 15213, USA
| | - Michaela Cordova
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Olivia Doyle
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Anders Perrone
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Oscar Miranda-Dominguez
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Eric Feczko
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, 97213, USA
| | - Darrick Sturgeon
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Alice Graham
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Robert Hermosillo
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Kathy Snider
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Anthony Galassi
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Bonnie J Nagel
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Sarah W Feldstein Ewing
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington VT 05401, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, 63110, USA; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, 63110, USA; Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Damien A Fair
- Departments of Psychiatry & Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97213, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh PA, 15213, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA
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Ulke C, Rullmann M, Huang J, Luthardt J, Becker GA, Patt M, Meyer PM, Tiepolt S, Hesse S, Sabri O, Strauß M. Adult attention-deficit/hyperactivity disorder is associated with reduced norepinephrine transporter availability in right attention networks: a (S,S)-O-[ 11C]methylreboxetine positron emission tomography study. Transl Psychiatry 2019; 9:301. [PMID: 31732713 PMCID: PMC6858438 DOI: 10.1038/s41398-019-0619-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 09/12/2019] [Accepted: 10/03/2019] [Indexed: 12/22/2022] Open
Abstract
The norepinephrine transporter (NET) has been suggested to play a critical role in attention-deficit/hyperactivity disorder (ADHD). In this prospective controlled study we tested the a-priori-hypothesis that central NET availability is altered in adult ADHD patients compared to healthy controls. Study participants underwent single positron emission tomography-magnetic resonance imaging (PET-MRI). MRI sequences included high resolution T1-MPRAGE data for regions of interest (ROI) delineation and voxel-based morphometry (VBM) and T2-weighted fluid-attenuated inversion-recovery for detection and exclusion of pathological abnormalities. NET availability was assessed by NET-selective (S,S)-O-[11C]methylreboxetine; regional distribution volume ratios (DVR) were calculated based on individual PET-MRI data co-registration and a multi-linear reference tissue model with two constraints (MRTM2; reference region: occipital cortex). VBM analysis revealed no difference in local distribution of gray matter between the 20 ADHD patients (9 females, age 31.8 ± 7.9 years, 488 ± 8 MBq injected activity) and the 20 age-matched and sex-matched control participants (9 females, age 32.3 ± 7.9 years, 472 ± 72 MBq). In mixed-model repeated-measures analysis with NET availability as dependent and ROI as repeated measure we found a significant main effect group in fronto-parietal-thalamic-cerebellar regions (regions on the right: F1,25 = 12.30, p = .002; regions on the left: F1,41 = 6.80, p = .013) indicating a reduced NET availability in ADHD patients. None of the other investigated brain regions yielded significant differences in NET availability between groups after applying a Benjamini-Hochberg correction at a significance level of 0.05. Overall our findings demonstrate the pathophysiological involvement of NET availability in adult ADHD.
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Affiliation(s)
- Christine Ulke
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103, Leipzig, Germany.
| | - Michael Rullmann
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Julia Luthardt
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Georg-Alexander Becker
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Philipp M Meyer
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Solveig Tiepolt
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Swen Hesse
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig Medical Center, 04103, Leipzig, Germany
| | - Maria Strauß
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103, Leipzig, Germany
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The functional interaction of the brain default network with motor networks is modified by aging. Behav Brain Res 2019; 372:112048. [DOI: 10.1016/j.bbr.2019.112048] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 12/27/2022]
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Gilmore AW, Nelson SM, Laumann TO, Gordon EM, Berg JJ, Greene DJ, Gratton C, Nguyen AL, Ortega M, Hoyt CR, Coalson RS, Schlaggar BL, Petersen SE, Dosenbach NUF, McDermott KB. High-fidelity mapping of repetition-related changes in the parietal memory network. Neuroimage 2019; 199:427-439. [PMID: 31175969 PMCID: PMC6688913 DOI: 10.1016/j.neuroimage.2019.06.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 06/03/2019] [Accepted: 06/04/2019] [Indexed: 01/05/2023] Open
Abstract
fMRI studies of human memory have identified a "parietal memory network" (PMN) that displays distinct responses to novel and familiar stimuli, typically deactivating during initial encoding but robustly activating during retrieval. The small size of PMN regions, combined with their proximity to the neighboring default mode network, makes a targeted assessment of their responses in highly sampled subjects important for understanding information processing within the network. Here, we describe an experiment in which participants made semantic decisions about repeatedly-presented stimuli, assessing PMN BOLD responses as items transitioned from experimentally novel to repeated. Data are from the highly-sampled subjects in the Midnight Scan Club dataset, enabling a characterization of BOLD responses at both the group and single-subject level. Across all analyses, PMN regions deactivated in response to novel stimuli and displayed changes in BOLD activity across presentations, but did not significantly activate to repeated items. Results support only a portion of initially hypothesized effects, in particular suggesting that novelty-related deactivations may be less susceptible to attentional/task manipulations than are repetition-related activations within the network. This in turn suggests that novelty and familiarity may be processed as separable entities within the PMN.
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Affiliation(s)
- Adrian W Gilmore
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA.
| | - Steven M Nelson
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, 76711, USA; Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX, 76798, USA
| | - Timothy O Laumann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Evan M Gordon
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, 76711, USA; Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Jeffrey J Berg
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Caterina Gratton
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Annie L Nguyen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Mario Ortega
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Catherine R Hoyt
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Rebecca S Coalson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Kennedy Krieger Institute, Baltimore, MD, 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven E Petersen
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA; Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Kathleen B McDermott
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
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Gratton C, Laumann TO, Nielsen AN, Greene DJ, Gordon EM, Gilmore AW, Nelson SM, Coalson RS, Snyder AZ, Schlaggar BL, Dosenbach NUF, Petersen SE. Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation. Neuron 2019; 98:439-452.e5. [PMID: 29673485 DOI: 10.1016/j.neuron.2018.03.035] [Citation(s) in RCA: 533] [Impact Index Per Article: 88.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 02/20/2018] [Accepted: 03/20/2018] [Indexed: 01/15/2023]
Abstract
The organization of human brain networks can be measured by capturing correlated brain activity with fMRI. There is considerable interest in understanding how brain networks vary across individuals or neuropsychiatric populations or are altered during the performance of specific behaviors. However, the plausibility and validity of such measurements is dependent on the extent to which functional networks are stable over time or are state dependent. We analyzed data from nine high-quality, highly sampled individuals to parse the magnitude and anatomical distribution of network variability across subjects, sessions, and tasks. Critically, we find that functional networks are dominated by common organizational principles and stable individual features, with substantially more modest contributions from task-state and day-to-day variability. Sources of variation were differentially distributed across the brain and differentially linked to intrinsic and task-evoked sources. We conclude that functional networks are suited to measuring stable individual characteristics, suggesting utility in personalized medicine.
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Affiliation(s)
- Caterina Gratton
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA.
| | - Timothy O Laumann
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Ashley N Nielsen
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Evan M Gordon
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA
| | - Adrian W Gilmore
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Steven M Nelson
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA; Department of Psychiatry, Texas A&M Health Science Center, Temple, TX 76508, USA
| | - Rebecca S Coalson
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Abraham Z Snyder
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Bradley L Schlaggar
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110, USA; Program in Occupational Therapy, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Steven E Petersen
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA
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Nielsen AN, Greene DJ, Gratton C, Dosenbach NUF, Petersen SE, Schlaggar BL. Evaluating the Prediction of Brain Maturity From Functional Connectivity After Motion Artifact Denoising. Cereb Cortex 2019; 29:2455-2469. [PMID: 29850877 PMCID: PMC6519700 DOI: 10.1093/cercor/bhy117] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Indexed: 01/15/2023] Open
Abstract
The ability to make individual-level predictions from neuroanatomy has the potential to be particularly useful in child development. Previously, resting-state functional connectivity (RSFC) MRI has been used to successfully predict maturity and diagnosis of typically and atypically developing individuals. Unfortunately, submillimeter head motion in the scanner produces systematic, distance-dependent differences in RSFC and may contaminate, and potentially facilitate, these predictions. Here, we evaluated individual age prediction with RSFC after stringent motion denoising. Using multivariate machine learning, we found that 57% of the variance in individual RSFC after motion artifact denoising was explained by age, while 4% was explained by residual effects of head motion. When RSFC data were not adequately denoised, 50% of the variance was explained by motion. Reducing motion-related artifact also revealed that prediction did not depend upon characteristics of functional connections previously hypothesized to mediate development (e.g., connection distance). Instead, successful age prediction relied upon sampling functional connections across multiple functional systems with strong, reliable RSFC within an individual. Our results demonstrate that RSFC across the brain is sufficiently robust to make individual-level predictions of maturity in typical development, and hence, may have clinical utility for the diagnosis and prognosis of individuals with atypical developmental trajectories.
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Affiliation(s)
- Ashley N Nielsen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Caterina Gratton
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
| | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
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Gratton C, Koller JM, Shannon W, Greene DJ, Maiti B, Snyder AZ, Petersen SE, Perlmutter JS, Campbell MC. Emergent Functional Network Effects in Parkinson Disease. Cereb Cortex 2019; 29:2509-2523. [PMID: 29878081 PMCID: PMC6519699 DOI: 10.1093/cercor/bhy121] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Indexed: 01/13/2023] Open
Abstract
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy, beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical pathology fails to account for the wide spectrum of clinical manifestations in PD. To reconcile these observations, resting-state functional connectivity (FC) can be used to examine dysfunction across distributed brain networks. We measured FC in a large, single-site study of nondemented PD (N = 107; OFF medications) and healthy controls (N = 46) incorporating rigorous quality control measures and comprehensive sampling of cortical, subcortical and cerebellar regions. We employed novel statistical approaches to determine group differences across the entire connectome, at the network-level, and for select brain regions. Group differences respected well-characterized network delineations producing a striking "block-wise" pattern of network-to-network effects. Surprisingly, these results demonstrate that the greatest FC differences involve sensorimotor, thalamic, and cerebellar networks, with notably smaller striatal effects. Split-half replication demonstrates the robustness of these results. Finally, block-wise FC correlations with behavior suggest that FC disruptions may contribute to clinical manifestations in PD. Overall, these results indicate a concerted breakdown of functional network interactions, remote from primary pathophysiology, and suggest that FC deficits in PD are related to emergent network-level phenomena rather than focal pathology.
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Affiliation(s)
- Caterina Gratton
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jonathan M Koller
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Baijayanta Maiti
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Abraham Z Snyder
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Steven E Petersen
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO, USA
| | - Joel S Perlmutter
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Department of Occupational Therapy, Washington University in St. Louis, St. Louis, MO, USA
- Department of Physical Therapy, Washington University in St. Louis, St. Louis, MO, USA
| | - Meghan C Campbell
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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Rodriguez-Sabate C, Morales I, Monton F, Rodriguez M. The influence of Parkinson's disease on the functional connectivity of the motor loop of human basal ganglia. Parkinsonism Relat Disord 2019; 63:100-105. [DOI: 10.1016/j.parkreldis.2019.02.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 02/20/2019] [Accepted: 02/20/2019] [Indexed: 11/25/2022]
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40
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Shofty B, Bergmann E, Zur G, Asleh J, Bosak N, Kavushansky A, Castellanos FX, Ben-Sira L, Packer RJ, Vezina GL, Constantini S, Acosta MT, Kahn I. Autism-associated Nf1 deficiency disrupts corticocortical and corticostriatal functional connectivity in human and mouse. Neurobiol Dis 2019; 130:104479. [PMID: 31128207 PMCID: PMC6689441 DOI: 10.1016/j.nbd.2019.104479] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 05/11/2019] [Accepted: 05/21/2019] [Indexed: 10/26/2022] Open
Abstract
Children with the autosomal dominant single gene disorder, neurofibromatosis type 1 (NF1), display multiple structural and functional changes in the central nervous system, resulting in neuropsychological cognitive abnormalities. Here we assessed the pathological functional organization that may underlie the behavioral impairments in NF1 using resting-state functional connectivity MRI. Coherent spontaneous fluctuations in the fMRI signal across the entire brain were used to interrogate the pattern of functional organization of corticocortical and corticostriatal networks in both NF1 pediatric patients and mice with a heterozygous mutation in the Nf1 gene (Nf1+/-). Children with NF1 demonstrated abnormal organization of cortical association networks and altered posterior-anterior functional connectivity in the default network. Examining the contribution of the striatum revealed that corticostriatal functional connectivity was altered. NF1 children demonstrated reduced functional connectivity between striatum and the frontoparietal network and increased striatal functional connectivity with the limbic network. Awake passive mouse functional connectivity MRI in Nf1+/- mice similarly revealed reduced posterior-anterior connectivity along the cingulate cortex as well as disrupted corticostriatal connectivity. The striatum of Nf1+/- mice showed increased functional connectivity to somatomotor and frontal cortices and decreased functional connectivity to the auditory cortex. Collectively, these results demonstrate similar alterations across species, suggesting that NF1 pathogenesis is linked to striatal dysfunction and disrupted corticocortical connectivity in the default network.
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Affiliation(s)
- Ben Shofty
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel; The Gilbert Israeli NF Center, Department of Pediatric Neurosurgery, Dana Children's Hospital, Tel Aviv Medical Center, and Tel Aviv University, Tel Aviv, Israel
| | - Eyal Bergmann
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel
| | - Gil Zur
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel
| | - Jad Asleh
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel
| | - Noam Bosak
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel
| | - Alexandra Kavushansky
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Liat Ben-Sira
- The Gilbert Israeli NF Center, Department of Pediatric Neurosurgery, Dana Children's Hospital, Tel Aviv Medical Center, and Tel Aviv University, Tel Aviv, Israel
| | - Roger J Packer
- The Gilbert Family Neurofibromatosis Institute, Children's National Health System, Department of Neurology and Pediatrics, George Washington University, Washington, DC, USA
| | - Gilbert L Vezina
- Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC, USA
| | - Shlomi Constantini
- The Gilbert Israeli NF Center, Department of Pediatric Neurosurgery, Dana Children's Hospital, Tel Aviv Medical Center, and Tel Aviv University, Tel Aviv, Israel
| | - Maria T Acosta
- The Gilbert Family Neurofibromatosis Institute, Children's National Health System, Department of Neurology and Pediatrics, George Washington University, Washington, DC, USA; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Itamar Kahn
- Department of Neuroscience, Rappaport Faculty of Medicine and Institute, Technion - Israel Institute of Technology, Haifa, Israel.
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MacKinlay RD, Shaw RC. Male New Zealand robin (Petroica longipes) song repertoire size does not correlate with cognitive performance in the wild. INTELLIGENCE 2019. [DOI: 10.1016/j.intell.2018.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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42
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Nugiel T, Roe MA, Taylor WP, Cirino PT, Vaughn SR, Fletcher JM, Juranek J, Church JA. Brain activity in struggling readers before intervention relates to future reading gains. Cortex 2019; 111:286-302. [PMID: 30557815 PMCID: PMC6420828 DOI: 10.1016/j.cortex.2018.11.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 07/25/2018] [Accepted: 11/07/2018] [Indexed: 12/18/2022]
Abstract
Neural markers for reading-related changes in response to intervention could inform intervention plans by serving as a potential index of the malleability of the reading network in struggling readers. Of particular interest is the role of brain activation outside the reading network, especially in executive control networks important for reading comprehension. However, it is unclear whether any intervention-related executive control changes in the brain are specific to reading tasks or reflect more domain general changes. Brain changes associated with reading gains over time were compared for a sentence comprehension task as well as for a non-lexical executive control task (a behavioral inhibition task) in upper-elementary struggling readers, and in grade-matched non-struggling readers. Functional MRI scans were conducted before and after 16 weeks of reading intervention. Participants were grouped as improvers and non-improvers based on the consistency and size of post-intervention gains across multiple post-test measures. Engagement of the right fusiform during the reading task, both before and after intervention, was related to gains from remediation. Additionally, pre-intervention activation in regions that are part of the default-mode network (precuneus) and the fronto-parietal network (right posterior middle temporal gyrus) separated improvers and non-improvers from non-struggling readers. None of these differences were observed during the non-lexical inhibitory control task, indicating that the brain changes seen related to intervention outcome in struggling readers were specific to the reading process.
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Affiliation(s)
- Tehila Nugiel
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
| | - Mary Abbe Roe
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - W Patrick Taylor
- Department of Psychology, The University of Houston, Houston, TX, USA
| | - Paul T Cirino
- Department of Psychology, The University of Houston, Houston, TX, USA
| | - Sharon R Vaughn
- Meadows Center for Prevention of Educational Risk, The University of Texas at Austin, Austin, TX, USA
| | - Jack M Fletcher
- Department of Psychology, The University of Houston, Houston, TX, USA
| | - Jenifer Juranek
- Department of Pediatrics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jessica A Church
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA; Biomedical Imaging Center, The University of Texas at Austin, Austin, TX, USA
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43
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Marek S, Siegel JS, Gordon EM, Raut RV, Gratton C, Newbold DJ, Ortega M, Laumann TO, Adeyemo B, Miller DB, Zheng A, Lopez KC, Berg JJ, Coalson RS, Nguyen AL, Dierker D, Van AN, Hoyt CR, McDermott KB, Norris SA, Shimony JS, Snyder AZ, Nelson SM, Barch DM, Schlaggar BL, Raichle ME, Petersen SE, Greene DJ, Dosenbach NUF. Spatial and Temporal Organization of the Individual Human Cerebellum. Neuron 2018; 100:977-993.e7. [PMID: 30473014 DOI: 10.1016/j.neuron.2018.10.010] [Citation(s) in RCA: 181] [Impact Index Per Article: 25.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 08/13/2018] [Accepted: 10/05/2018] [Indexed: 12/18/2022]
Abstract
The cerebellum contains the majority of neurons in the human brain and is unique for its uniform cytoarchitecture, absence of aerobic glycolysis, and role in adaptive plasticity. Despite anatomical and physiological differences between the cerebellum and cerebral cortex, group-average functional connectivity studies have identified networks related to specific functions in both structures. Recently, precision functional mapping of individuals revealed that functional networks in the cerebral cortex exhibit measurable individual specificity. Using the highly sampled Midnight Scan Club (MSC) dataset, we found the cerebellum contains reliable, individual-specific network organization that is significantly more variable than the cerebral cortex. The frontoparietal network, thought to support adaptive control, was the only network overrepresented in the cerebellum compared to the cerebral cortex (2.3-fold). Temporally, all cerebellar resting state signals lagged behind the cerebral cortex (125-380 ms), supporting the hypothesis that the cerebellum engages in a domain-general function in the adaptive control of all cortical processes.
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Affiliation(s)
- Scott Marek
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Joshua S Siegel
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Evan M Gordon
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA
| | - Ryan V Raut
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Caterina Gratton
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Mario Ortega
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Timothy O Laumann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Derek B Miller
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Annie Zheng
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Katherine C Lopez
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jeffrey J Berg
- Department of Psychology, New York University, New York, NY 10003 USA
| | - Rebecca S Coalson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Annie L Nguyen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Donna Dierker
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Catherine R Hoyt
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kathleen B McDermott
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Scott A Norris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Abraham Z Snyder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Steven M Nelson
- VISN17 Center of Excellence for Research on Returning War Veterans, Waco, TX 76711, USA; Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235, USA; Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706, USA
| | - Deanna M Barch
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marcus E Raichle
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Deanna J Greene
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63110, USA
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Roe MA, Martinez JE, Mumford JA, Taylor WP, Cirino PT, Fletcher JM, Juranek J, Church JA. Control Engagement During Sentence and Inhibition fMRI Tasks in Children With Reading Difficulties. Cereb Cortex 2018; 28:3697-3710. [PMID: 30060152 PMCID: PMC6132278 DOI: 10.1093/cercor/bhy170] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 05/31/2018] [Accepted: 07/03/2018] [Indexed: 12/28/2022] Open
Abstract
Recent reading research implicates executive control regions as sites of difference in struggling readers. However, as studies often employ only reading or language tasks, the extent of deviation in control engagement in children with reading difficulties is not known. The current study investigated activation in reading and executive control brain regions during both a sentence comprehension task and a nonlexical inhibitory control task in third-fifth grade children with and without reading difficulties. We employed both categorical (group-based) and individual difference approaches to relate reading ability to brain activity. During sentence comprehension, struggling readers had less activation in the left posterior temporal cortex, previously implicated in language, semantic, and reading research. Greater negative activity (relative to fixation) during sentence comprehension in a left inferior parietal region from the executive control literature correlated with poorer reading ability. Greater comprehension scores were associated with less dorsal anterior cingulate activity during the sentence comprehension task. Unlike the sentence task, there were no significant differences between struggling and nonstruggling readers for the nonlexical inhibitory control task. Thus, differences in executive control engagement were largely specific to reading, rather than a general control deficit across tasks in children with reading difficulties, informing future intervention research.
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Affiliation(s)
- Mary Abbe Roe
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Joel E Martinez
- Department of Psychology, Princeton University, Princeton, NJ, USA
| | - Jeanette A Mumford
- Center for Healthy Minds, The University of Wisconsin-Madison, Madison, WI, USA
| | | | - Paul T Cirino
- Department of Psychology, University of Houston, TX, USA
| | | | - Jenifer Juranek
- Department of Pediatrics, The University of Texas Health Science Center at Houston, TX, USA
| | - Jessica A Church
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
- Imaging Research Center, The University of Texas at Austin, Austin, TX, USA
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Langen CD, Muetzel R, Blanken L, van der Lugt A, Tiemeier H, Verhulst F, Niessen WJ, White T. Differential patterns of age-related cortical and subcortical functional connectivity in 6-to-10 year old children: A connectome-wide association study. Brain Behav 2018; 8:e01031. [PMID: 29961267 PMCID: PMC6085897 DOI: 10.1002/brb3.1031] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 05/15/2018] [Accepted: 05/16/2018] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION Typical brain development is characterized by specific patterns of maturation of functional networks. Cortico-cortical connectivity generally increases, whereas subcortico-cortical connections often decrease. Little is known about connectivity changes amongst different subcortical regions in typical development. METHODS This study examined age- and gender-related differences in functional connectivity between and within cortical and subcortical regions using two different approaches. The participants included 411 six- to ten-year-old typically developing children sampled from the population-based Generation R study. Functional connectomes were defined in native space using regions of interest from subject-specific FreeSurfer segmentations. Connections were defined as: (a) the correlation between regional mean time-series; and (b) the focal maximum of voxel-wise correlations within FreeSurfer regions. The association of age and gender with each functional connection was determined using linear regression. The preprocessing included the exclusion of children with excessive head motion and scrubbing to reduce the influence of minor head motion during scanning. RESULTS Cortico-cortical associations echoed previous findings that connectivity shifts from short to long-range with age. Subcortico-cortical associations with age were primarily negative in the focal network approach but were both positive and negative in the mean time-series network approach. Between subcortical regions, age-related associations were negative in both network approaches. Few connections had significant associations with gender. CONCLUSIONS The present study replicates previously reported age-related patterns of connectivity in a relatively narrow age-range of children. In addition, we extended these findings by demonstrating decreased connectivity within the subcortex with increasing age. Lastly, we show the utility of a more focal approach that challenges the spatial assumptions made by the traditional mean time series approach.
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Affiliation(s)
- Carolyn D Langen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands
| | - Ryan Muetzel
- Department of Child and Adolescent Psychiatry, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands
| | - Laura Blanken
- Department of Child and Adolescent Psychiatry, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Frank Verhulst
- Department of Child and Adolescent Psychiatry, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands.,Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
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46
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Kipping JA, Tuan TA, Fortier MV, Qiu A. Asynchronous Development of Cerebellar, Cerebello-Cortical, and Cortico-Cortical Functional Networks in Infancy, Childhood, and Adulthood. Cereb Cortex 2018; 27:5170-5184. [PMID: 27733542 DOI: 10.1093/cercor/bhw298] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 09/06/2016] [Indexed: 11/13/2022] Open
Abstract
Evidence from clinical studies shows that early cerebellar injury can cause abnormal development of the cerebral cortex in children. Characterization of normative development of the cerebellar and cerebello-cortical organization in early life is of great clinical importance. Here, we analyzed cerebellar, cerebello-cortical, and cortico-cortical functional networks using resting-state functional magnetic resonance imaging data of healthy infants (6 months, n = 21), children (4-10 years, n = 68), and adults (23-38 years, n = 25). We employed independent component analysis and identified 7 cerebellar functional networks in infants and 12 in children and adults. We revealed that the cerebellum was functionally connected with the sensorimotor cortex in infants but with the sensorimotor, executive control, and default mode systems of the cortex in children and adults. The functional connectivity strength in the cerebello-cortical functional networks of sensorimotor, executive control, and default mode systems was the strongest in middle childhood, but was weaker in adulthood. In contrast, the functional coherence of the cortico-cortical networks was stronger in adulthood. These findings suggest early synchronization of the cerebello-cortical networks in infancy, particularly in the early developing primary sensorimotor system. Conversely, age-related differences of cerebellar, cerebello-cortical, and cortico-cortical functional networks in childhood and adulthood suggest potential asynchrony of the cerebellar and cortical functional maturation.
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Affiliation(s)
- Judy A Kipping
- Department of Biomedical Engineering, National University of Singapore, Singapore117575, Singapore
| | - Ta Ahn Tuan
- Department of Biomedical Engineering, National University of Singapore, Singapore117575, Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital (KKH), Singapore229899, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore 117575, Singapore.,Singapore Institute for Clinical Sciences, Singapore 117609, Singapore.,Clinical Imaging Research Center, National University of Singapore, Singapore 117599, Singapore
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47
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Cignetti F, Fontan A, Menant J, Nazarian B, Anton JL, Vaugoyeau M, Assaiante C. Protracted Development of the Proprioceptive Brain Network During and Beyond Adolescence. Cereb Cortex 2018; 27:1285-1296. [PMID: 26733535 DOI: 10.1093/cercor/bhv323] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Proprioceptive processing is important for appropriate motor control, providing error-feedback and internal representation of movement for adjusting the motor command. Although proprioceptive functioning improves during childhood and adolescence, we still have few clues about how the proprioceptive brain network develops. Here, we investigated developmental changes in the functional organization of this network in early adolescents (n = 18, 12 ± 1 years), late adolescents (n = 18, 15 ± 1), and young adults (n = 18, 32 ± 4), by examining task-evoked univariate activity and patterns of functional connectivity (FC) associated with seeds placed in cortical (supramarginal gyrus) and subcortical (dorsal rostral putamen) regions. We found that although the network is already well established in early adolescence both in terms of topology and functioning principles (e.g., long-distance communication and economy in wiring cost), it is still undergoing refinement during adolescence, including a shift from diffuse to focal FC and a decreased FC strength. This developmental effect was particularly pronounced for fronto-striatal connections. Furthermore, changes in FC features continued beyond adolescence, although to a much lower extent. Altogether, these findings point to a protracted developmental time course for the proprioceptive network, which breaks with the relatively early functional maturation often associated with sensorimotor networks.
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Affiliation(s)
| | | | - Jasmine Menant
- Neuroscience Research Australia and University of New South Wales, Sydney, New South Wales, Australia
| | - Bruno Nazarian
- INT UMR 7289, Centre IRM Fonctionnelle Cérébrale, Aix-Marseille Université, CNRS, Marseille, France
| | - Jean-Luc Anton
- INT UMR 7289, Centre IRM Fonctionnelle Cérébrale, Aix-Marseille Université, CNRS, Marseille, France
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Abstract
Basal ganglia interact in a complex way which is still not completely understood. The model generally used to explain basal ganglia interactions is based on experimental data in animals, but its validation in humans has been hampered by methodological restrictions. The time-relationship (partial correlation) of the fluctuations of the blood-oxygen-level-dependent signals recorded in the main basal ganglia was used here (32 healthy volunteers; 18-72 years of age; 16 males and 16 females) to test whether the interaction of the main basal ganglia in humans follows the pattern of functional connectivity in animals. Data showed that most basal ganglia have a functional connectivity which is compatible with that of the established closed-loop model. The strength of the connectivity of some basal ganglia changed with finger motion, suggesting that the functional interactions between basal ganglia are quickly restructured by the motor tasks. The present study with the motor cortico-BG loop centers supports the circling dynamic of the basal ganglia model in humans, showing that motor tasks may change the functional connectivity of these centers.
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49
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Picci G, Gotts SJ, Scherf KS. A theoretical rut: revisiting and critically evaluating the generalized under/over-connectivity hypothesis of autism. Dev Sci 2018; 19:524-49. [PMID: 27412228 DOI: 10.1111/desc.12467] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 05/28/2016] [Indexed: 11/29/2022]
Abstract
In 2004, two papers proposed that pervasive functional under-connectivity (Just et al., ) or a trade-off between excessive local connectivity at the cost of distal under-connectivity (Belmonte et al., ) characterizes atypical brain organization in autism. Here, we take stock of the most recent and rigorous functional and structural connectivity findings with a careful eye toward evaluating the extent to which they support these original hypotheses. Indeed, the empirical data do not support them. From rsfMRI studies in adolescents and adults, there is an emerging consensus regarding long-range functional connections indicating cortico-cortical under-connectivity, specifically involving the temporal lobes, combined with subcortical-cortical over-connectivity. In contrast, there is little to no consensus regarding local functional connectivity or findings from task-based functional connectivity studies. The structural connectivity data suggest that white matter tracts are pervasively weak, particularly in the temporal lobe. Together, these findings are revealing how deeply complex the story is regarding atypical neural network organization in autism. In other words, distance and strength of connectivity as individual factors or as interacting factors do not consistently explain the patterns of atypical neural connectivity in autism. Therefore, we make several methodological recommendations and highlight developmental considerations that will help researchers in the field cultivate new hypotheses about the nature and mechanisms of potentially aberrant functional and structural connectivity in autism.
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Affiliation(s)
- Giorgia Picci
- Department of Psychology, Pennsylvania State University, USA
| | - Stephen J Gotts
- Department of Psychology, Pennsylvania State University, USA
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50
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Greene DJ, Koller JM, Hampton JM, Wesevich V, Van AN, Nguyen AL, Hoyt CR, McIntyre L, Earl EA, Klein RL, Shimony JS, Petersen SE, Schlaggar BL, Fair DA, Dosenbach NUF. Behavioral interventions for reducing head motion during MRI scans in children. Neuroimage 2018; 171:234-245. [PMID: 29337280 DOI: 10.1016/j.neuroimage.2018.01.023] [Citation(s) in RCA: 122] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 01/08/2018] [Accepted: 01/11/2018] [Indexed: 01/08/2023] Open
Abstract
A major limitation to structural and functional MRI (fMRI) scans is their susceptibility to head motion artifacts. Even submillimeter movements can systematically distort functional connectivity, morphometric, and diffusion imaging results. In patient care, sedation is often used to minimize head motion, but it incurs increased costs and risks. In research settings, sedation is typically not an ethical option. Therefore, safe methods that reduce head motion are critical for improving MRI quality, especially in high movement individuals such as children and neuropsychiatric patients. We investigated the effects of (1) viewing movies and (2) receiving real-time visual feedback about head movement in 24 children (5-15 years old). Children completed fMRI scans during which they viewed a fixation cross (i.e., rest) or a cartoon movie clip, and during some of the scans they also received real-time visual feedback about head motion. Head motion was significantly reduced during movie watching compared to rest and when receiving feedback compared to receiving no feedback. However, these results depended on age, such that the effects were largely driven by the younger children. Children older than 10 years showed no significant benefit. We also found that viewing movies significantly altered the functional connectivity of fMRI data, suggesting that fMRI scans during movies cannot be equated to standard resting-state fMRI scans. The implications of these results are twofold: (1) given the reduction in head motion with behavioral interventions, these methods should be tried first for all clinical and structural MRIs in lieu of sedation; and (2) for fMRI research scans, these methods can reduce head motion in certain groups, but investigators must keep in mind the effects on functional MRI data.
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Affiliation(s)
- Deanna J Greene
- Washington University School of Medicine, Department of Psychiatry, United States; Washington University School of Medicine, Mallinckrodt Institute of Radiology, United States.
| | - Jonathan M Koller
- Washington University School of Medicine, Department of Psychiatry, United States
| | - Jacqueline M Hampton
- Washington University School of Medicine, Department of Neurology, United States
| | - Victoria Wesevich
- Washington University School of Medicine, Department of Neurology, United States
| | - Andrew N Van
- Washington University School of Medicine, Department of Neurology, United States
| | - Annie L Nguyen
- Washington University School of Medicine, Department of Neurology, United States
| | - Catherine R Hoyt
- Washington University School of Medicine, Department of Neurology, United States; Washington University School of Medicine, Program in Occupational Therapy, United States
| | - Lindsey McIntyre
- Washington University School of Medicine, Department of Psychiatry, United States
| | - Eric A Earl
- Oregon Health and Science University, Department of Behavioral Neuroscience, United States
| | - Rachel L Klein
- Oregon Health and Science University, Psychiatry, United States
| | - Joshua S Shimony
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, United States
| | - Steven E Petersen
- Washington University School of Medicine, Department of Psychiatry, United States; Washington University School of Medicine, Mallinckrodt Institute of Radiology, United States; Washington University School of Medicine, Department of Neurology, United States; Washington University School of Medicine, Neuroscience, United States
| | - Bradley L Schlaggar
- Washington University School of Medicine, Department of Psychiatry, United States; Washington University School of Medicine, Mallinckrodt Institute of Radiology, United States; Washington University School of Medicine, Department of Neurology, United States; Washington University School of Medicine, Neuroscience, United States; Washington University School of Medicine, Pediatrics, United States
| | - Damien A Fair
- Oregon Health and Science University, Department of Behavioral Neuroscience, United States; Oregon Health and Science University, Psychiatry, United States
| | - Nico U F Dosenbach
- Washington University School of Medicine, Department of Neurology, United States; Washington University School of Medicine, Pediatrics, United States; Washington University School of Medicine, Program in Occupational Therapy, United States.
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