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Hettwer MD, Dorfschmidt L, Puhlmann LMC, Jacob LM, Paquola C, Bethlehem RAI, Bullmore ET, Eickhoff SB, Valk SL. Longitudinal variation in resilient psychosocial functioning is associated with ongoing cortical myelination and functional reorganization during adolescence. Nat Commun 2024; 15:6283. [PMID: 39075054 PMCID: PMC11286871 DOI: 10.1038/s41467-024-50292-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 07/03/2024] [Indexed: 07/31/2024] Open
Abstract
Adolescence is a period of dynamic brain remodeling and susceptibility to psychiatric risk factors, mediated by the protracted consolidation of association cortices. Here, we investigated whether longitudinal variation in adolescents' resilience to psychosocial stressors during this vulnerable period is associated with ongoing myeloarchitectural maturation and consolidation of functional networks. We used repeated myelin-sensitive Magnetic Transfer (MT) and resting-state functional neuroimaging (n = 141), and captured adversity exposure by adverse life events, dysfunctional family settings, and socio-economic status at two timepoints, one to two years apart. Development toward more resilient psychosocial functioning was associated with increasing myelination in the anterolateral prefrontal cortex, which showed stabilized functional connectivity. Studying depth-specific intracortical MT profiles and the cortex-wide synchronization of myeloarchitectural maturation, we further observed wide-spread myeloarchitectural reconfiguration of association cortices paralleled by attenuated functional reorganization with increasingly resilient outcomes. Together, resilient/susceptible psychosocial functioning showed considerable intra-individual change associated with multi-modal cortical refinement processes at the local and system-level.
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Affiliation(s)
- Meike D Hettwer
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.
- Max Planck School of Cognition, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Lena Dorfschmidt
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lara M C Puhlmann
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leibniz Institute for Resilience Research, Mainz, Germany
| | - Linda M Jacob
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Casey Paquola
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany
| | | | | | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany
- Max Planck School of Cognition, Leipzig, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sofie L Valk
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.
- Max Planck School of Cognition, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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2
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Theys C, Jaakkola E, Melzer TR, De Nil LF, Guenther FH, Cohen AL, Fox MD, Joutsa J. Localization of stuttering based on causal brain lesions. Brain 2024; 147:2203-2213. [PMID: 38797521 PMCID: PMC11146419 DOI: 10.1093/brain/awae059] [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: 09/10/2023] [Revised: 01/23/2024] [Accepted: 02/06/2024] [Indexed: 05/29/2024] Open
Abstract
Stuttering affects approximately 1 in 100 adults and can result in significant communication problems and social anxiety. It most often occurs as a developmental disorder but can also be caused by focal brain damage. These latter cases may lend unique insight into the brain regions causing stuttering. Here, we investigated the neuroanatomical substrate of stuttering using three independent datasets: (i) case reports from the published literature of acquired neurogenic stuttering following stroke (n = 20, 14 males/six females, 16-77 years); (ii) a clinical single study cohort with acquired neurogenic stuttering following stroke (n = 20, 13 males/seven females, 45-87 years); and (iii) adults with persistent developmental stuttering (n = 20, 14 males/six females, 18-43 years). We used the first two datasets and lesion network mapping to test whether lesions causing acquired stuttering map to a common brain network. We then used the third dataset to test whether this lesion-based network was relevant to developmental stuttering. In our literature dataset, we found that lesions causing stuttering occurred in multiple heterogeneous brain regions, but these lesion locations were all functionally connected to a common network centred around the left putamen, including the claustrum, amygdalostriatal transition area and other adjacent areas. This finding was shown to be specific for stuttering (PFWE < 0.05) and reproducible in our independent clinical cohort of patients with stroke-induced stuttering (PFWE < 0.05), resulting in a common acquired stuttering network across both stroke datasets. Within the common acquired stuttering network, we found a significant association between grey matter volume and stuttering impact for adults with persistent developmental stuttering in the left posteroventral putamen, extending into the adjacent claustrum and amygdalostriatal transition area (PFWE < 0.05). We conclude that lesions causing acquired neurogenic stuttering map to a common brain network, centred to the left putamen, claustrum and amygdalostriatal transition area. The association of this lesion-based network with symptom severity in developmental stuttering suggests a shared neuroanatomy across aetiologies.
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Affiliation(s)
- Catherine Theys
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Institute of Language, Brain and Behaviour, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
| | - Elina Jaakkola
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
| | - Tracy R Melzer
- School of Psychology, Speech and Hearing, University of Canterbury, 8140 Christchurch, New Zealand
- New Zealand Brain Research Institute, 8011 Christchurch, New Zealand
- Department of Medicine, University of Otago, 8011 Christchurch, New Zealand
- RHCNZ—Pacific Radiology Canterbury, 8031 Christchurch, New Zealand
| | - Luc F De Nil
- Department of Speech-Language Pathology, University of Toronto, Toronto, ON M5G 1V7, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON M5G 1V7, Canada
| | - Frank H Guenther
- Departments of Speech, Language and Hearing Sciences and Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexander L Cohen
- Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Juho Joutsa
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, 20014 Turku, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, 20014 Turku, Finland
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3
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Morgan AT, Scerri TS, Vogel AP, Reid CA, Quach M, Jackson VE, McKenzie C, Burrows EL, Bennett MF, Turner SJ, Reilly S, Horton SE, Block S, Kefalianos E, Frigerio-Domingues C, Sainz E, Rigbye KA, Featherby TJ, Richards KL, Kueh A, Herold MJ, Corbett MA, Gecz J, Helbig I, Thompson-Lake DGY, Liégeois FJ, Morell RJ, Hung A, Drayna D, Scheffer IE, Wright DK, Bahlo M, Hildebrand MS. Stuttering associated with a pathogenic variant in the chaperone protein cyclophilin 40. Brain 2023; 146:5086-5097. [PMID: 37977818 PMCID: PMC10689913 DOI: 10.1093/brain/awad314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/26/2023] [Accepted: 08/10/2023] [Indexed: 11/19/2023] Open
Abstract
Stuttering is a common speech disorder that interrupts speech fluency and tends to cluster in families. Typically, stuttering is characterized by speech sounds, words or syllables which may be repeated or prolonged and speech that may be further interrupted by hesitations or 'blocks'. Rare variants in a small number of genes encoding lysosomal pathway proteins have been linked to stuttering. We studied a large four-generation family in which persistent stuttering was inherited in an autosomal dominant manner with disruption of the cortico-basal-ganglia-thalamo-cortical network found on imaging. Exome sequencing of three affected family members revealed the PPID c.808C>T (p.Pro270Ser) variant that segregated with stuttering in the family. We generated a Ppid p.Pro270Ser knock-in mouse model and performed ex vivo imaging to assess for brain changes. Diffusion-weighted MRI in the mouse revealed significant microstructural changes in the left corticospinal tract, as previously implicated in stuttering. Quantitative susceptibility mapping also detected changes in cortico-striatal-thalamo-cortical loop tissue composition, consistent with findings in affected family members. This is the first report to implicate a chaperone protein in the pathogenesis of stuttering. The humanized Ppid murine model recapitulates network findings observed in affected family members.
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Affiliation(s)
- Angela T Morgan
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Department of Audiology and Speech Pathology, University of Melbourne, Parkville 3052, Australia
| | - Thomas S Scerri
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
| | - Adam P Vogel
- Department of Audiology and Speech Pathology, University of Melbourne, Parkville 3052, Australia
- Centre for Neuroscience of Speech, The University of Melbourne, Parkville 3053, Australia
- Clinical Trials, Redenlab Inc., Melbourne 3000, Australia
| | - Christopher A Reid
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Heidelberg 3084, Australia
| | - Mara Quach
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia
| | - Victoria E Jackson
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
| | - Chaseley McKenzie
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
| | - Emma L Burrows
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
| | - Mark F Bennett
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Heidelberg 3084, Australia
| | | | - Sheena Reilly
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Menzies Health Institute Queensland, Griffith University, 4215 Southport, Australia
| | - Sarah E Horton
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Department of Audiology and Speech Pathology, University of Melbourne, Parkville 3052, Australia
| | - Susan Block
- Discipline of Speech Pathology, School of Allied Health, La Trobe University, Bundoora 3086, Australia
| | - Elaina Kefalianos
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Department of Audiology and Speech Pathology, University of Melbourne, Parkville 3052, Australia
| | - Carlos Frigerio-Domingues
- Laboratory of Communication Disorders, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-2320, USA
| | - Eduardo Sainz
- Laboratory of Communication Disorders, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-2320, USA
| | - Kristin A Rigbye
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Heidelberg 3084, Australia
| | - Travis J Featherby
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
| | - Kay L Richards
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
| | - Andrew Kueh
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
| | - Marco J Herold
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
| | - Mark A Corbett
- Adelaide Medical School, The University of Adelaide, Adelaide 5000, Australia
- Neurogenetics Research Program, South Australian Health and Medical Research Institute, Adelaide 5000, Australia
| | - Jozef Gecz
- Adelaide Medical School, The University of Adelaide, Adelaide 5000, Australia
- Neurogenetics Research Program, South Australian Health and Medical Research Institute, Adelaide 5000, Australia
| | - Ingo Helbig
- Department of Neurology, Children’s Hospital, Philadelphia, PA 19104, USA
| | - Daisy G Y Thompson-Lake
- Developmental Neurosciences Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Frédérique J Liégeois
- Developmental Neurosciences Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Robert J Morell
- Laboratory of Molecular Genetics, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892, USA
- Genomics and Computational Biology Core, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andrew Hung
- School of Science, STEM College, RMIT University, Melbourne 3001, Australia
| | - Dennis Drayna
- Laboratory of Communication Disorders, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-2320, USA
| | - Ingrid E Scheffer
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, 3052, Parkville 3052, Australia
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Heidelberg 3084, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville 3052, Australia
| | - David K Wright
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne 3004, Australia
| | - Melanie Bahlo
- The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville 3052, Australia
- School of Mathematics and Statistics, University of Melbourne, 3010 Parkville, Australia
| | - Michael S Hildebrand
- Murdoch Children’s Research Institute, Parkville 3052, Australia
- Department of Medicine, Epilepsy Research Centre, University of Melbourne, Heidelberg 3084, Australia
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4
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SheikhBahaei S, Millwater M, Maguire GA. Stuttering as a spectrum disorder: A hypothesis. CURRENT RESEARCH IN NEUROBIOLOGY 2023; 5:100116. [PMID: 38020803 PMCID: PMC10663130 DOI: 10.1016/j.crneur.2023.100116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/26/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Childhood-onset fluency disorder, commonly referred to as stuttering, affects over 70 million adults worldwide. While stuttering predominantly initiates during childhood and is more prevalent in males, it presents consistent symptoms during conversational speech. Despite these common clinical manifestations, evidence suggests that stuttering, may arise from different etiologies, emphasizing the need for personalized therapy approaches. Current research models often regard the stuttering population as a singular, homogenous group, potentially overlooking the inherent heterogeneity. This perspective consolidates both historical and recent observations to emphasize that stuttering is a heterogeneous condition with diverse causes. As such, it is crucial that both therapeutic research and clinical practices consider the potential for varied etiologies leading to stuttering. Recognizing stuttering as a spectrum disorder embraces its inherent variability, allowing for a more nuanced categorization of individuals based on the underlying causes. This perspective aligns with the principles of precision medicine, advocating for tailored treatments for distinct subgroups of people who stutter, ultimately leading to personalized therapeutic approaches.
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Affiliation(s)
- Shahriar SheikhBahaei
- Neuron-Glia Signaling and Circuits Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, 20892, MD, USA
| | - Marissa Millwater
- Neuron-Glia Signaling and Circuits Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, 20892, MD, USA
| | - Gerald A. Maguire
- CenExel Research/ American University of Health Sciences, Signal Hill, CA, 90755, USA
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5
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Kearney E, Brownsett SLE, Copland DA, Drummond KJ, Jeffree RL, Olson S, Murton E, Ong B, Robinson GA, Tolkacheva V, McMahon KL, de Zubicaray GI. Relationships between reading performance and regional spontaneous brain activity following surgical removal of primary left-hemisphere tumors: A resting-state fMRI study. Neuropsychologia 2023; 188:108631. [PMID: 37356540 DOI: 10.1016/j.neuropsychologia.2023.108631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/08/2023] [Accepted: 06/23/2023] [Indexed: 06/27/2023]
Abstract
Left-hemisphere intraparenchymal primary brain tumor patients are at risk of developing reading difficulties that may be stable, improve or deteriorate after surgery. Previous studies examining language organization in brain tumor patients have provided insights into neural plasticity supporting recovery. Only a single study, however, has examined the role of white matter tracts in preserving reading ability post-surgery and none have examined the functional reading network. The current study aimed to investigate the regional spontaneous brain activity associated with reading performance in a group of 36 adult patients 6-24 months following left-hemisphere tumor resection. Spontaneous brain activity was assessed using resting-state fMRI (rs-fMRI) regional homogeneity (ReHo) and fractional amplitude low frequency fluctuation (fALFF) metrics, which measure local functional connectivity and activity, respectively. ReHo in the left occipito-temporal and right superior parietal regions was negatively correlated with reading performance. fALFF in the putamen bilaterally and the left cerebellum was negatively correlated with reading performance, and positively correlated in the right superior parietal gyrus. These findings are broadly consistent with reading networks reported in healthy participants, indicating that reading ability following brain tumor surgery might not involve substantial functional re-organization.
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Affiliation(s)
- Elaine Kearney
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia.
| | - Sonia L E Brownsett
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072, Australia; Surgical Treatment and Rehabilitation Service (STARS), Education and Research Alliance, University of Queensland and Metro North Health, Queensland, Australia; Centre of Research Excellence in Aphasia Recovery and Rehabilitation, Australia
| | - David A Copland
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072, Australia; Surgical Treatment and Rehabilitation Service (STARS), Education and Research Alliance, University of Queensland and Metro North Health, Queensland, Australia; Centre of Research Excellence in Aphasia Recovery and Rehabilitation, Australia
| | - Katharine J Drummond
- Department of Neurosurgery, Royal Melbourne Hospital, Parkville, 3050, Australia; Department of Surgery, University of Melbourne, Parkville, 3052, Australia
| | | | - Sarah Olson
- Princess Alexandra Hospital, Brisbane, 4102, Australia
| | - Emma Murton
- Department of Speech Pathology, Royal Melbourne Hospital, Parkville, 3050, Australia
| | - Benjamin Ong
- Princess Alexandra Hospital, Brisbane, 4102, Australia
| | - Gail A Robinson
- Queensland Brain Institute and School of Psychology, University of Queensland, Brisbane, 4072, Australia
| | - Valeriya Tolkacheva
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia
| | - Katie L McMahon
- School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, 4059, Australia; Herston Imaging Research Facility, Royal Brisbane & Women's Hospital, Brisbane, 4029, Australia
| | - Greig I de Zubicaray
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, 4059, Australia
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Bu M, Deng X, Zhang Y, Chen SW, Jiang M, Chen BT. Brain iron content and cognitive function in patients with β-thalassemia. Ther Adv Hematol 2023; 14:20406207231167050. [PMID: 37151807 PMCID: PMC10155013 DOI: 10.1177/20406207231167050] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 03/15/2023] [Indexed: 05/09/2023] Open
Abstract
Patients with β-thalassemia (β-TM) may have brain iron overload from long-term blood transfusions, ineffective erythropoiesis, and increased intestinal iron absorption, leading to cognitive impairment. Brain magnetic resonance imaging (MRI) methods such as the transverse relaxation rate, susceptibility-weighted imaging, and quantitative susceptibility mapping can provide quantitative, in vivo measurements of brain iron. This review assessed these MRI methods for brain iron quantification and the measurements for cognitive function in patients with β-TM. We aimed to identify the neural correlates of cognitive impairment, which should help to evaluate therapies for improving cognition and quality of life in patients with β-TM.
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Affiliation(s)
- Meiru Bu
- Department of Radiology, First Affiliated
Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Xi Deng
- Department of Radiology, First Affiliated
Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Yu Zhang
- Department of Radiology, First Affiliated
Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Sean W. Chen
- Department of Medical Oncology &
Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Duarte,
CA, USA
| | - Muliang Jiang
- Department of Radiology, First Affiliated
Hospital of Guangxi Medical University, Nanning 530021, P. R. China
| | - Bihong T. Chen
- Department of Diagnostic Radiology, City of
Hope National Medical Center, Duarte, CA, USA
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7
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Chow HM, Garnett EO, Ratner NB, Chang SE. Brain activity during the preparation and production of spontaneous speech in children with persistent stuttering. Neuroimage Clin 2023; 38:103413. [PMID: 37099876 PMCID: PMC10149502 DOI: 10.1016/j.nicl.2023.103413] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/10/2023] [Accepted: 04/17/2023] [Indexed: 04/28/2023]
Abstract
Speech production forms the basis for human verbal communication. Though fluent speech production is effortless and automatic for most people, it is disrupted in speakers who stutter, who experience difficulties especially during spontaneous speech and at utterance onsets. Brain areas comprising the basal ganglia thalamocortical (BGTC) motor loop have been a focus of interest in the context of stuttering, given this circuit's critical role in initiating and sequencing connected speech. Despite the importance of better understanding the role of the BGTC motor loop in supporting overt, spontaneous speech production, capturing brain activity during speech has been challenging to date, due to fMRI artifacts associated with severe head motions during speech production. Here, using an advanced technique that removes speech-related artifacts from fMRI signals, we examined brain activity occurring immediately before, and during, overt spontaneous speech production in 22 children with persistent stuttering (CWS) and 18 children who do not stutter (controls) in the 5-to-12-year age range. Brain activity during speech production was compared in two conditions: spontaneous speech (i.e., requiring language formulation) and automatic speech (i.e., overlearned word sequences). Compared to controls, CWS exhibited significantly reduced left premotor activation during spontaneous speech production but not during automatic speech. Moreover, CWS showed an age-related reduction in left putamen and thalamus activation during speech preparation. These results provide further evidence that stuttering is associated with functional deficits in the BGTC motor loop, which are exacerbated during spontaneous speech production.
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8
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Neef NE, Angstadt M, Koenraads SPC, Chang SE. Dissecting structural connectivity of the left and right inferior frontal cortex in children who stutter. Cereb Cortex 2023; 33:4085-4100. [PMID: 36057839 PMCID: PMC10068293 DOI: 10.1093/cercor/bhac328] [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: 06/01/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 11/12/2022] Open
Abstract
Inferior frontal cortex pars opercularis (IFCop) features a distinct cerebral dominance and vast functional heterogeneity. Left and right IFCop are implicated in developmental stuttering. Weak left IFCop connections and divergent connectivity of hyperactive right IFCop regions have been related to impeded speech. Here, we reanalyzed diffusion magnetic resonance imaging data from 83 children (41 stuttering). We generated connection probability maps of functionally segregated area 44 parcels and calculated hemisphere-wise analyses of variance. Children who stutter showed reduced connectivity of executive, rostral-motor, and caudal-motor corticostriatal projections from the left IFCop. We discuss this finding in the context of tracing studies from the macaque area 44, which leads to the need to reconsider current models of speech motor control. Unlike the left, the right IFCop revealed increased connectivity of the inferior posterior ventral parcel and decreased connectivity of the posterior dorsal parcel with the anterior insula, particularly in stuttering boys. This divergent connectivity pattern in young children adds to the debate on potential core deficits in stuttering and challenges the theory that right hemisphere differences might exclusively indicate compensatory changes that evolve from lifelong exposure. Instead, early right prefrontal connectivity differences may reflect additional brain signatures of aberrant cognition-emotion-action influencing speech motor control.
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Affiliation(s)
- Nicole E Neef
- Institute for Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
| | - Simone P C Koenraads
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Wytemaweg 80, 3015 CNRotterdam, the Netherlands
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
- Department of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Road, East Lansing, MI 48824, USA
- Cognitive Imaging Research Center, Department of Radiology, Michigan State University, 846 Service Road, East Lansing, MI 48824, USA
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9
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Krishnan S, Cler GJ, Smith HJ, Willis HE, Asaridou SS, Healy MP, Papp D, Watkins KE. Quantitative MRI reveals differences in striatal myelin in children with DLD. eLife 2022; 11:e74242. [PMID: 36164824 PMCID: PMC9514847 DOI: 10.7554/elife.74242] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 07/21/2022] [Indexed: 12/25/2022] Open
Abstract
Developmental language disorder (DLD) is a common neurodevelopmental disorder characterised by receptive or expressive language difficulties or both. While theoretical frameworks and empirical studies support the idea that there may be neural correlates of DLD in frontostriatal loops, findings are inconsistent across studies. Here, we use a novel semiquantitative imaging protocol - multi-parameter mapping (MPM) - to investigate microstructural neural differences in children with DLD. The MPM protocol allows us to reproducibly map specific indices of tissue microstructure. In 56 typically developing children and 33 children with DLD, we derived maps of (1) longitudinal relaxation rate R1 (1/T1), (2) transverse relaxation rate R2* (1/T2*), and (3) Magnetization Transfer saturation (MTsat). R1 and MTsat predominantly index myelin, while R2* is sensitive to iron content. Children with DLD showed reductions in MTsat values in the caudate nucleus bilaterally, as well as in the left ventral sensorimotor cortex and Heschl's gyrus. They also had globally lower R1 values. No group differences were noted in R2* maps. Differences in MTsat and R1 were coincident in the caudate nucleus bilaterally. These findings support our hypothesis of corticostriatal abnormalities in DLD and indicate abnormal levels of myelin in the dorsal striatum in children with DLD.
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Affiliation(s)
- Saloni Krishnan
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Department of Psychology, Royal Holloway, University of London, Egham HillLondonUnited Kingdom
| | - Gabriel J Cler
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Department of Speech and Hearing Sciences, University of WashingtonSeattleUnited States
| | - Harriet J Smith
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- MRC Cognition and Brain Sciences Unit, University of CambridgeCambridgeUnited Kingdom
| | - Hanna E Willis
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, John Radcliffe HospitalOxfordUnited Kingdom
| | - Salomi S Asaridou
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
| | - Máiréad P Healy
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Department of Psychology, University of CambridgeCambridgeUnited Kingdom
| | - Daniel Papp
- NeuroPoly Lab, Biomedical Engineering Department, Polytechnique MontrealMontrealCanada
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neuroscience, University of OxfordOxfordUnited Kingdom
| | - Kate E Watkins
- Wellcome Centre for Integrative Neuroimaging, Dept of Experimental Psychology, University of OxfordOxfordUnited Kingdom
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10
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G D, B H S, Gajbe U, Singh BR, Sawal A, Balwir T. The Role of Basal Ganglia and Its Neuronal Connections in the Development of Stuttering: A Review Article. Cureus 2022; 14:e28653. [PMID: 36196326 PMCID: PMC9525748 DOI: 10.7759/cureus.28653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022] Open
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11
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Differences in implicit motor learning between adults who do and do not stutter. Neuropsychologia 2022; 174:108342. [PMID: 35931135 DOI: 10.1016/j.neuropsychologia.2022.108342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/25/2022] [Accepted: 07/28/2022] [Indexed: 11/20/2022]
Abstract
Implicit learning allows us to acquire complex motor skills through repeated exposure to sensory cues and repetition of motor behaviours, without awareness or effort. Implicit learning is also critical to the incremental fine-tuning of the perceptual-motor system. To understand how implicit learning and associated domain-general learning processes may contribute to motor learning differences in people who stutter, we investigated implicit finger-sequencing skills in adults who do (AWS) and do not stutter (ANS) on an Alternating Serial Reaction Time task. Our results demonstrated that, while all participants showed evidence of significant sequence-specific learning in their speed of performance, male AWS were slower and made fewer sequence-specific learning gains than their ANS counterparts. Although there were no learning gains evident in accuracy of performance, AWS performed the implicit learning task more accurately than ANS, overall. These findings may have implications for sex-based differences in the experience of developmental stuttering, for the successful acquisition of complex motor skills during development by individuals who stutter, and for the updating and automatization of speech motor plans during the therapeutic process.
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12
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Ji J, Ren Y, Lei M. FC–HAT: Hypergraph attention network for functional brain network classification. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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13
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Topiwala A, Wang C, Ebmeier KP, Burgess S, Bell S, Levey DF, Zhou H, McCracken C, Roca-Fernández A, Petersen SE, Raman B, Husain M, Gelernter J, Miller KL, Smith SM, Nichols TE. Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses. PLoS Med 2022; 19:e1004039. [PMID: 35834561 PMCID: PMC9282660 DOI: 10.1371/journal.pmed.1004039] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/01/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Brain iron deposition has been linked to several neurodegenerative conditions and reported in alcohol dependence. Whether iron accumulation occurs in moderate drinkers is unknown. Our objectives were to investigate evidence in support of causal relationships between alcohol consumption and brain iron levels and to examine whether higher brain iron represents a potential pathway to alcohol-related cognitive deficits. METHODS AND FINDINGS Observational associations between brain iron markers and alcohol consumption (n = 20,729 UK Biobank participants) were compared with associations with genetically predicted alcohol intake and alcohol use disorder from 2-sample mendelian randomization (MR). Alcohol intake was self-reported via a touchscreen questionnaire at baseline (2006 to 2010). Participants with complete data were included. Multiorgan susceptibility-weighted magnetic resonance imaging (9.60 ± 1.10 years after baseline) was used to ascertain iron content of each brain region (quantitative susceptibility mapping (QSM) and T2*) and liver tissues (T2*), a marker of systemic iron. Main outcomes were susceptibility (χ) and T2*, measures used as indices of iron deposition. Brain regions of interest included putamen, caudate, hippocampi, thalami, and substantia nigra. Potential pathways to alcohol-related iron brain accumulation through elevated systemic iron stores (liver) were explored in causal mediation analysis. Cognition was assessed at the scan and in online follow-up (5.82 ± 0.86 years after baseline). Executive function was assessed with the trail-making test, fluid intelligence with puzzle tasks, and reaction time by a task based on the "Snap" card game. Mean age was 54.8 ± 7.4 years and 48.6% were female. Weekly alcohol consumption was 17.7 ± 15.9 units and never drinkers comprised 2.7% of the sample. Alcohol consumption was associated with markers of higher iron (χ) in putamen (β = 0.08 standard deviation (SD) [95% confidence interval (CI) 0.06 to 0.09], p < 0.001), caudate (β = 0.05 [0.04 to 0.07], p < 0.001), and substantia nigra (β = 0.03 [0.02 to 0.05], p < 0.001) and lower iron in the thalami (β = -0.06 [-0.07 to -0.04], p < 0.001). Quintile-based analyses found these associations in those consuming >7 units (56 g) alcohol weekly. MR analyses provided weak evidence these relationships are causal. Genetically predicted alcoholic drinks weekly positively associated with putamen and hippocampus susceptibility; however, these associations did not survive multiple testing corrections. Weak evidence for a causal relationship between genetically predicted alcohol use disorder and higher putamen susceptibility was observed; however, this was not robust to multiple comparisons correction. Genetically predicted alcohol use disorder was associated with serum iron and transferrin saturation. Elevated liver iron was observed at just >11 units (88 g) alcohol weekly c.f. <7 units (56 g). Systemic iron levels partially mediated associations of alcohol intake with brain iron. Markers of higher basal ganglia iron associated with slower executive function, lower fluid intelligence, and slower reaction times. The main limitations of the study include that χ and T2* can reflect changes in myelin as well as iron, alcohol use was self-reported, and MR estimates can be influenced by genetic pleiotropy. CONCLUSIONS To the best of our knowledge, this study represents the largest investigation of moderate alcohol consumption and iron homeostasis to date. Alcohol consumption above 7 units weekly associated with higher brain iron. Iron accumulation represents a potential mechanism for alcohol-related cognitive decline.
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Affiliation(s)
- Anya Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Chaoyue Wang
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
| | - Stephen Burgess
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Steven Bell
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Daniel F. Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
- Health Data Research UK, London, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Masud Husain
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Karla L. Miller
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Stephen M. Smith
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Thomas E. Nichols
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
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14
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Neef NE, Korzeczek A, Primaßin A, Wolff von Gudenberg A, Dechent P, Riedel CH, Paulus W, Sommer M. White matter tract strength correlates with therapy outcome in persistent developmental stuttering. Hum Brain Mapp 2022; 43:3357-3374. [PMID: 35415866 PMCID: PMC9248304 DOI: 10.1002/hbm.25853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/22/2022] [Accepted: 03/22/2022] [Indexed: 11/11/2022] Open
Abstract
Persistent stuttering is a prevalent neurodevelopmental speech disorder, which presents with involuntary speech blocks, sound and syllable repetitions, and sound prolongations. Affected individuals often struggle with negative feelings, elevated anxiety, and low self-esteem. Neuroimaging studies frequently link persistent stuttering with cortical alterations and dysfunctional cortico-basal ganglia-thalamocortical loops; dMRI data also point toward connectivity changes of the superior longitudinal fasciculus (SLF) and the frontal aslant tract (FAT). Both tracts are involved in speech and language functions, and the FAT also supports inhibitory control and conflict monitoring. Whether the two tracts are involved in therapy-associated improvements and how they relate to therapeutic outcomes is currently unknown. Here, we analyzed dMRI data of 22 patients who participated in a fluency-shaping program, 18 patients not participating in therapy, and 27 fluent control participants, measured 1 year apart. We used diffusion tractography to segment the SLF and FAT bilaterally and to quantify their microstructural properties before and after a fluency-shaping program. Participants learned to speak with soft articulation, pitch, and voicing during a 2-week on-site boot camp and computer-assisted biofeedback-based daily training for 1 year. Therapy had no impact on the microstructural properties of the two tracts. Yet, after therapy, stuttering severity correlated positively with left SLF fractional anisotropy, whereas relief from the social-emotional burden to stutter correlated negatively with right FAT fractional anisotropy. Thus, posttreatment, speech motor performance relates to the left dorsal stream, while the experience of the adverse impact of stuttering relates to the structure recently associated with conflict monitoring and action inhibition.
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Affiliation(s)
- Nicole E Neef
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany.,Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Alexandra Korzeczek
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Annika Primaßin
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany.,Fachbereich Gesundheit, FH Münster University of Applied Sciences, Münster, Germany
| | | | - Peter Dechent
- Department of Cognitive Neurology, MR Research in Neurosciences, University Medical Center Göttingen, Göttingen, Germany
| | - Christian Heiner Riedel
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Martin Sommer
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany.,Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.,Department of Geriatrics, University Medical Center Göttingen, Göttingen, Germany
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15
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Sommer M, SheikhBahaei S, Maguire GA. An unexpected iron in the fire of speech production. Brain 2021; 144:2904-2905. [PMID: 34849599 PMCID: PMC8634066 DOI: 10.1093/brain/awab348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
This scientific commentary refers to ‘Elevated iron concentration in putamen and cortical speech motor network in developmental stuttering’, by Cler et al. (doi:10.1093/brain/awab283).
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Affiliation(s)
- Martin Sommer
- Department of Geriatrics, Department of Neurology, University Medical Center Goettingen, 37075 Goettingen, Germany
| | - Shahriar SheikhBahaei
- Neuron-Glia Signaling and Circuits Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Gerald A Maguire
- Department of Psychiatry and Neuroscience, University of California, Riverside School of Medicine, California, CA 92501, USA
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