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Couto MCHD, Canhetti de Oliveira CM, Merlo S, Briley PM, Pinato L. Risk of sleep problems in a clinical sample of children who stutter. JOURNAL OF FLUENCY DISORDERS 2024; 79:106036. [PMID: 38241960 DOI: 10.1016/j.jfludis.2023.106036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/20/2023] [Accepted: 12/29/2023] [Indexed: 01/21/2024]
Abstract
PURPOSE Previous studies have shown increased prevalence of sleep problems among people who stutter. However, there is a lack of knowledge about what these sleep problems may specifically be. METHOD Fifty children who stutter (CWS) from 6;0 to 12;9 years of age and 50 age- and gender-matched controls participated in this study. Parents did not report coexisting conditions, excepting stuttering and/or sleep problems. Sleep problems were investigated using a standardized questionnaire answered by parents. The questionnaire shows cut-off scores to identify the risk of sleep problems as a whole and on each one of the six subscales (i.e., disorders of initiating and maintaining sleep; sleep breathing disorders; disorders of arousal; sleep-wake transition disorders; disorders of excessive somnolence; and sleep hyperhidrosis). Scores above the cut-off are suggestive of sleep problems. RESULTS Twenty-one CWS scored higher than the cut-off on the sleep questionnaire compared to only two controls (p < 0.00001). Specifically, CWS scored higher than controls in disorders of initiating and maintaining sleep, sleep-wake transition disorders (especially jerking, sleep talking, and bruxism), and disorders of excessive somnolence (p < 0.0083, corrected for multiple comparisons). DISCUSSION Compared to controls, CWS are at greater risk for sleep problems, which are not consequences of coexisting disorders. Present findings confirm and expand current knowledge about sleep problems in CWS. Directionality possibilities and clinical implications are discussed.
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Affiliation(s)
- Maria Clara Helena do Couto
- Department of Speech, Language and Hearing Sciences, São Paulo State University (UNESP), Marilia, SP, Brazil.
| | | | - Sandra Merlo
- Brazilian Fluency Institute, Av. Brg. Faria Lima, 1811, conj 822, São Paulo, SP 01452-001, Brazil.
| | - Patrick M Briley
- Department of Communication Sciences and Disorders, East Carolina University, 3310AC Health Sciences Building, MS 668, Greenville, NC 27834, United States.
| | - Luciana Pinato
- Department of Speech, Language and Hearing Sciences, São Paulo State University (UNESP), Marilia, SP, Brazil.
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2
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Miller HE, Garnett EO, Heller Murray ES, Nieto-Castañón A, Tourville JA, Chang SE, Guenther FH. A comparison of structural morphometry in children and adults with persistent developmental stuttering. Brain Commun 2023; 5:fcad301. [PMID: 38025273 PMCID: PMC10653153 DOI: 10.1093/braincomms/fcad301] [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: 04/18/2023] [Revised: 10/07/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
This cross-sectional study aimed to differentiate earlier occurring neuroanatomical differences that may reflect core deficits in stuttering versus changes associated with a longer duration of stuttering by analysing structural morphometry in a large sample of children and adults who stutter and age-matched controls. Whole-brain T1-weighted structural scans were obtained from 166 individuals who stutter (74 children, 92 adults; ages 3-58) and 191 controls (92 children, 99 adults; ages 3-53) from eight prior studies in our laboratories. Mean size and gyrification measures were extracted using FreeSurfer software for each cortical region of interest. FreeSurfer software was also used to generate subcortical volumes for regions in the automatic subcortical segmentation. For cortical analyses, separate ANOVA analyses of size (surface area, cortical thickness) and gyrification (local gyrification index) measures were conducted to test for a main effect of diagnosis (stuttering, control) and the interaction of diagnosis-group with age-group (children, adults) across cortical regions. Cortical analyses were first conducted across a set of regions that comprise the speech network and then in a second whole-brain analysis. Next, separate ANOVA analyses of volume were conducted across subcortical regions in each hemisphere. False discovery rate corrections were applied for all analyses. Additionally, we tested for correlations between structural morphometry and stuttering severity. Analyses revealed thinner cortex in children who stutter compared with controls in several key speech-planning regions, with significant correlations between cortical thickness and stuttering severity. These differences in cortical size were not present in adults who stutter, who instead showed reduced gyrification in the right inferior frontal gyrus. Findings suggest that early cortical anomalies in key speech planning regions may be associated with stuttering onset. Persistent stuttering into adulthood may result from network-level dysfunction instead of focal differences in cortical morphometry. Adults who stutter may also have a more heterogeneous neural presentation than children who stutter due to their unique lived experiences.
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Affiliation(s)
- Hilary E Miller
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elizabeth S Heller Murray
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Communication Sciences & Disorders, Temple University, Philadelphia, PA 19122, USA
| | - Alfonso Nieto-Castañón
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Jason A Tourville
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Communication Disorders, Ewha Womans University, Seoul 03760, Korea
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI 48824, USA
| | - Frank H Guenther
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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3
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Chow HM, Garnett EO, Koenraads SPC, Chang SE. Brain developmental trajectories associated with childhood stuttering persistence and recovery. Dev Cogn Neurosci 2023; 60:101224. [PMID: 36863188 PMCID: PMC9986501 DOI: 10.1016/j.dcn.2023.101224] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/11/2023] [Accepted: 02/25/2023] [Indexed: 02/27/2023] Open
Abstract
Stuttering is a neurodevelopmental disorder affecting 5-8 % of preschool-age children, continuing into adulthood in 1 % of the population. The neural mechanisms underlying persistence and recovery from stuttering remain unclear and little information exists on neurodevelopmental anomalies in children who stutter (CWS) during preschool age, when stuttering symptoms typically first emerge. Here we present findings from the largest longitudinal study of childhood stuttering to date, comparing children with persistent stuttering (pCWS) and those who later recovered from stuttering (rCWS) with age-matched fluent peers, to examine the developmental trajectories of both gray matter volume (GMV) and white matter volume (WMV) using voxel-based morphometry. A total of 470 MRI scans were analyzed from 95 CWS (72 pCWS and 23 rCWS) and 95 fluent peers between 3 and 12 years of age. We examined overall group and group by age interactions in GMV and WMV in preschool age (3-5 years old) and school age (6-12 years old) CWS and controls, controlling for sex, IQ, intracranial volume, and socioeconomic status. The results provide broad support for a possible basal ganglia-thalamocortical (BGTC) network deficit starting in the earliest phases of the disorder and point to normalization or compensation of earlier occurring structural changes associated with stuttering recovery.
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Affiliation(s)
- Ho Ming Chow
- University of Delaware, Department of Communication Sciences and Disorders, Newark, DE 19713, USA
| | - Emily O Garnett
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Soo-Eun Chang
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
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4
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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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5
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Mundorf A, Peterburs J, Ocklenburg S. Asymmetry in the Central Nervous System: A Clinical Neuroscience Perspective. Front Syst Neurosci 2021; 15:733898. [PMID: 34970125 PMCID: PMC8712556 DOI: 10.3389/fnsys.2021.733898] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/25/2021] [Indexed: 01/20/2023] Open
Abstract
Recent large-scale neuroimaging studies suggest that most parts of the human brain show structural differences between the left and the right hemisphere. Such structural hemispheric asymmetries have been reported for both cortical and subcortical structures. Interestingly, many neurodevelopmental and psychiatric disorders have been associated with altered functional hemispheric asymmetries. However, findings concerning the relation between structural hemispheric asymmetries and disorders have largely been inconsistent, both within specific disorders as well as between disorders. In the present review, we compare structural asymmetries from a clinical neuroscience perspective across different disorders. We focus especially on recent large-scale neuroimaging studies, to concentrate on replicable effects. With the notable exception of major depressive disorder, all reviewed disorders were associated with distinct patterns of alterations in structural hemispheric asymmetries. While autism spectrum disorder was associated with altered structural hemispheric asymmetries in a broader range of brain areas, most other disorders were linked to more specific alterations in brain areas related to cognitive functions that have been associated with the symptomology of these disorders. The implications of these findings are highlighted in the context of transdiagnostic approaches to psychopathology.
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Affiliation(s)
- Annakarina Mundorf
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Jutta Peterburs
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Sebastian Ocklenburg
- Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany
- Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
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6
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Reif AE, Goberman AM. Linguistic features of dysfluencies in Parkinson Disease. JOURNAL OF FLUENCY DISORDERS 2021; 70:105845. [PMID: 33780692 DOI: 10.1016/j.jfludis.2021.105845] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/23/2020] [Accepted: 03/17/2021] [Indexed: 06/12/2023]
Abstract
PURPOSE The purpose of this study was to examine dysfluency characteristics of individuals with Parkinson Disease (PD) relative to linguistic features of grammatical class and position within word. Few studies have reported dysfluency characteristics of PD relative to these characteristics. Those that do report on these characteristics include one case study and a study of six individuals with PD. No previous research is known to have examined dysfluency related to grammatical class and position within words for a large sample of individuals with PD. METHOD Dysfluencies from 32 individuals with PD were analyzed according to position within a word and grammatical class. RESULTS Participants produced significantly more dysfluencies in the initial position of words compared to medial or final positions, and a significantly higher percent dysfluency for content words versus function words. CONCLUSION Effects of linguistic features of grammatical class and position within a word on dysfluencies are present within a population with PD and are similar to the linguistic features associated with developmental stuttering. Clinical implications of the effect of linguistic features on speech dysfluencies in PD are discussed.
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Affiliation(s)
- Angela E Reif
- School of Speech-Language Pathology and Audiology, The University of Akron, United States.
| | - Alexander M Goberman
- Graduate College, Department of Communication Sciences and Disorders, Bowling Green State University, United States
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7
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Thompson-Lake DGY, Scerri TS, Block S, Turner SJ, Reilly S, Kefalianos E, Bonthrone AF, Helbig I, Bahlo M, Scheffer IE, Hildebrand MS, Liégeois FJ, Morgan AT. Atypical development of Broca's area in a large family with inherited stuttering. Brain 2021; 145:1177-1188. [PMID: 35296891 PMCID: PMC9724773 DOI: 10.1093/brain/awab364] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 08/09/2021] [Accepted: 08/24/2021] [Indexed: 01/18/2023] Open
Abstract
Developmental stuttering is a condition of speech dysfluency, characterized by pauses, blocks, prolongations and sound or syllable repetitions. It affects around 1% of the population, with potential detrimental effects on mental health and long-term employment. Accumulating evidence points to a genetic aetiology, yet gene-brain associations remain poorly understood due to a lack of MRI studies in affected families. Here we report the first neuroimaging study of developmental stuttering in a family with autosomal dominant inheritance of persistent stuttering. We studied a four-generation family, 16 family members were included in genotyping analysis. T1-weighted and diffusion-weighted MRI scans were conducted on seven family members (six male; aged 9-63 years) with two age and sex matched controls without stuttering (n = 14). Using Freesurfer, we analysed cortical morphology (cortical thickness, surface area and local gyrification index) and basal ganglia volumes. White matter integrity in key speech and language tracts (i.e. frontal aslant tract and arcuate fasciculus) was also analysed using MRtrix and probabilistic tractography. We identified a significant age by group interaction effect for cortical thickness in the left hemisphere pars opercularis (Broca's area). In affected family members this region failed to follow the typical trajectory of age-related thinning observed in controls. Surface area analysis revealed the middle frontal gyrus region was reduced bilaterally in the family (all cortical morphometry significance levels set at a vertex-wise threshold of P < 0.01, corrected for multiple comparisons). Both the left and right globus pallidus were larger in the family than in the control group (left P = 0.017; right P = 0.037), and a larger right globus pallidus was associated with more severe stuttering (rho = 0.86, P = 0.01). No white matter differences were identified. Genotyping identified novel loci on chromosomes 1 and 4 that map with the stuttering phenotype. Our findings denote disruption within the cortico-basal ganglia-thalamo-cortical network. The lack of typical development of these structures reflects the anatomical basis of the abnormal inhibitory control network between Broca's area and the striatum underpinning stuttering in these individuals. This is the first evidence of a neural phenotype in a family with an autosomal dominantly inherited stuttering.
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Affiliation(s)
| | - Thomas S Scerri
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville 3052, Australia,Department of Medical Biology, University of Melbourne, 1G Royal Parade, Parkville 305, Australia
| | - Susan Block
- Discipline of Speech Pathology, School of Allied Health, Human Services & Sport, La Trobe University, Bundoora 3086, Australia
| | - Samantha J Turner
- Speech and Language, Murdoch Children’s Research Institute, Parkville 3052, Australia
| | - Sheena Reilly
- Speech and Language, Murdoch Children’s Research Institute, Parkville 3052, Australia,Menzies Health Institute Queensland, Griffith University, Southport 4215, Australia
| | - Elaina Kefalianos
- Speech and Language, Murdoch Children’s Research Institute, Parkville 3052, Australia,Department of Audiology and Speech Pathology, University of Melbourne, Parkville 3052, Australia
| | | | - Ingo Helbig
- Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104USA,The Epilepsy NeuroGenetics Initiative, Children's Hospital of Philadelphia, Philadelphia, PA 19104USA,Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104USA,Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104USA
| | - Melanie Bahlo
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville 3052, Australia,Department of Medical Biology, University of Melbourne, 1G Royal Parade, Parkville 305, Australia
| | - Ingrid E Scheffer
- Department of Medicine, University of Melbourne, Austin Hospital, Heidelberg 3084, Australia,Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville 3052, Australia,Murdoch Children’s Research Institute, Parkville 3052, Australia,Florey Institute of Neuroscience and Mental Health, Parkville 3052, Australia
| | - Michael S Hildebrand
- Department of Medicine, University of Melbourne, Austin Hospital, Heidelberg 3084, Australia,Murdoch Children’s Research Institute, Parkville 3052, Australia
| | | | - Angela T Morgan
- Correspondence to: Angela T. Morgan Murdoch Children’s Research Institute Parkville 3052, Australia E-mail:
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8
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Toyomura A, Fujii T, Sowman PF. Performance of Bimanual Finger Coordination Tasks in Speakers Who Stutter. Front Psychol 2021; 12:679607. [PMID: 34630201 PMCID: PMC8495154 DOI: 10.3389/fpsyg.2021.679607] [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: 03/12/2021] [Accepted: 08/12/2021] [Indexed: 11/13/2022] Open
Abstract
Stuttering is a neurodevelopmental speech disorder characterized by the symptoms of speech repetition, prolongation, and blocking. Stuttering-related dysfluency can be transiently alleviated by providing an external timing signal such as a metronome or the voice of another person. Therefore, the existence of a core motor timing deficit in stuttering has been speculated. If this is the case, then motoric behaviors other than speech should be disrupted in stuttering. This study examined motoric performance on four complex bimanual tasks in 37 adults who stutter and 31 fluent controls. Two tasks utilized bimanual rotation to examine motor dexterity, and two tasks used the bimanual mirror and parallel tapping movements to examine timing control ability. Video-based analyses were conducted to determine performance accuracy and speed. The results showed that individuals who stutter performed worse than fluent speakers on tapping tasks but not on bimanual rotation tasks. These results suggest stuttering is associated with timing control for general motor behavior.
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Affiliation(s)
- Akira Toyomura
- Graduate School of Health Sciences, Gunma University, Maebashi, Japan.,Research Center for Advanced Technologies, Tokyo Denki University, Inzai, Japan
| | | | - Paul F Sowman
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
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9
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Tan AP, Ngoh ZM, Yeo SSP, Koh DXP, Gluckman P, Chong YS, Daniel LM, Rifkin-Graboi A, Fortier MV, Qiu A, Meaney M. Left lateralization of neonatal caudate microstructure affects emerging language development at 24 months. Eur J Neurosci 2021; 54:4621-4637. [PMID: 34125467 PMCID: PMC9541223 DOI: 10.1111/ejn.15347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/08/2021] [Indexed: 11/27/2022]
Abstract
The complex interaction between brain and behaviour in language disorder is well established. Yet to date, the imaging literature in the language disorder field has continued to pursue heterogeneous and relatively small clinical cross‐sectional samples, with emphasis on cortical structures and volumetric analyses of subcortical brain structures. In our current work, we aimed to go beyond this state of knowledge to focus on the microstructural features of subcortical brain structures (specifically the caudate nucleus) in a large cohort of neonates and study its association with emerging language skills at 24 months. Variations in neonatal brain microstructure could be interpreted as a proxy for in utero brain development. As language development is highly dependent on cognitive function and home literacy environment, we also examined their effect on the caudate–language function relationship utilizing a conditional process model. Our findings suggest that emerging language development at 24 months is influenced by the degree of left lateralization of neonatal caudate microstructure, indexed by diffusion tensor imaging (DTI)‐derived fractional anisotropy (FA). FA is an indirect measure of neuronal and dendritic density within grey matter structures. We also found that the caudate–language function relationship is partially mediated by cognitive function. The conditional indirect effect of left caudate FA on language composite score through cognitive function was only statistically significant at low levels of home literacy score (−1 standard deviation [SD]). The authors proposed that this may be related to ‘compensatory’ development of cognitive skills in less favourable home literacy environments.
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Affiliation(s)
- Ai Peng Tan
- Department of Diagnostic Imaging, National University Health System, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore
| | - Shayne Siok Peng Yeo
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore
| | - Dawn Xin Ping Koh
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore
| | - Peter Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore
| | - Lourdes Mary Daniel
- Department of Child Development, KK Women's and Children's Hospital, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore
| | - Anne Rifkin-Graboi
- Centre for Research in Child Development, National Institute of Education, Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore (NUS), Singapore
| | - Michael Meaney
- Singapore Institute for Clinical Sciences (SICS), A*STAR Research Entities (ARES), Singapore.,Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore.,Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
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10
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Koenraads SPC, van der Schroeff MP, van Ingen G, Lamballais S, Tiemeier H, Baatenburg de Jong RJ, White T, Franken MC, Muetzel RL. Structural brain differences in pre-adolescents who persist in and recover from stuttering. NEUROIMAGE-CLINICAL 2020; 27:102334. [PMID: 32650280 PMCID: PMC7341447 DOI: 10.1016/j.nicl.2020.102334] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/19/2020] [Accepted: 06/26/2020] [Indexed: 01/18/2023]
Abstract
Brain (micro-)structural differences were found in pre-adolescents who stutter. Persistency was associated with marginally smaller left frontal gray matter volume. Recovery was associated with higher mean diffusivity in white matter tracts. Distinct brain structures implicated in persistence and recovery of stuttering.
Background Stuttering is a complex speech fluency disorder occurring in childhood. In young children, stuttering has been associated with speech-related auditory and motor areas of the brain. During transition into adolescence, the majority of children who stutter (75–80%) will experience remission of their symptoms. The current study evaluated brain (micro-)structural differences between pre-adolescents who persisted in stuttering, those who recovered, and fluently speaking controls. Methods This study was embedded in the Generation R Study, a population-based cohort in the Netherlands of children followed from pregnancy onwards. Neuroimaging was performed in 2211 children (mean age: 10 years, range 8–12), of whom 20 persisted in and 77 recovered from stuttering. Brain structure (e.g., gray matter) and microstructure (e.g., diffusion tensor imaging) differences between groups were tested using multiple linear regression. Results Pre-adolescents who persisted in stuttering had marginally lower left superior frontal gray matter volume compared to those with no history of stuttering (β −1344, 95%CI −2407;-280), and those who recovered (β −1825, 95%CI −2999;-650). Pre-adolescents who recovered, compared to those with no history of stuttering, had higher mean diffusivity in the forceps major (β 0.002, 95%CI 0.001;0.004), bilateral superior longitudinal fasciculi (β 0.001, 95%CI 0.000;0.001), left corticospinal tract (β 0.003, 95%CI 0.002;0.004), and right inferior longitudinal fasciculus (β 0.001, 95%CI 0.000;0.001). Conclusion Findings suggest that relatively small difference in prefrontal gray matter volume is associated with persistent stuttering, and alterations in white matter tracts are apparent in individuals who recovered. The findings further strengthen the potential relevance of brain (micro-)structure in persistence and recovery from stuttering in pre-adolescents.
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Affiliation(s)
- S P C Koenraads
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - M P van der Schroeff
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - G van Ingen
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - S Lamballais
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - H Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - R J Baatenburg de Jong
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - T White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M C Franken
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - R L Muetzel
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
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11
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Garnett EO, Chow HM, Choo AL, Chang SE. Stuttering Severity Modulates Effects of Non-invasive Brain Stimulation in Adults Who Stutter. Front Hum Neurosci 2019; 13:411. [PMID: 31824276 PMCID: PMC6881273 DOI: 10.3389/fnhum.2019.00411] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/07/2019] [Indexed: 12/21/2022] Open
Abstract
Stuttering is a neurodevelopmental disorder that manifests as frequent disruptions in the flow of speech, affecting 1% of adults. Treatments are limited to behavioral interventions with variable success and high relapse rates, particularly in adults. However, even in severe cases, fluency can be temporarily induced during conditions in which the speaker synchronizes his speech with external rhythmic cues, such as when reading in unison (choral speech) or with a metronome. Non-invasive neuromodulation techniques such as transcranial direct current stimulation (tDCS) have shown promise in augmenting the effects of behavioral treatment during motor and speech/language rehabilitation, but only one study to date has examined behavioral modulatory effects of tDCS in the context of stuttering. Using high-definition (HD)-tDCS electrodes, which improves focality of stimulation relative to conventional tDCS, we investigated the effects of tDCS on speech fluency and brain activation in 14 adults who stutter (AWS). Either anodal or sham stimulation was delivered on separate days over left supplementary motor area (SMA). During stimulation, participants read aloud in sync with a metronome. Measures of speech fluency and brain activity functional magnetic resonance imaging (fMRI) were collected before and after stimulation. No significant differences in brain activity or speech fluency were found when comparing active and sham stimulation. However, stuttering severity significantly modulated the effect of stimulation: active stimulation attenuated the atypically strong association between stuttering severity and right thalamocortical network activity, especially in more severe speakers. These preliminary results warrant additional research into potential application of HD-tDCS to modulate speech motor networks to enhance fluency in stuttering.
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Affiliation(s)
| | - Ho Ming Chow
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.,Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE, United States.,Department of Communication Sciences and Disorders, University of Delaware, Newark, DE, United States
| | - Ai Leen Choo
- Department of Communication Sciences and Disorders, Georgia State University, Atlanta, GA, United States
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
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12
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Sidtis JJ, Mubeen MA, Asaei A, Ardekani B, Van Lancker Sidtis D. Performance and Function Meet Structure: A White Matter Connection Tuned for Vocal Production. Brain Connect 2019; 8:628-636. [PMID: 30430846 PMCID: PMC6308290 DOI: 10.1089/brain.2018.0627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Contemporary imaging techniques have increased the potential for establishing how brain regions interact during spoken language. Some imaging methods report bilateral changes in brain activity during speech, whereas another approach finds that the relationship between individual variability in speech measures and individual variability in brain activity more closely resembles clinical observations. This approach has repeatedly demonstrated that speaking rate for phonological and lexical items can be predicted by an inverse relationship between cerebral blood flow in the left inferior frontal region and the right caudate nucleus. To determine whether morphology contributes to this relationship, we examined ipsilateral and contralateral white matter connections between these structures using diffusion tensor imaging, and we further assessed possible relationships between morphology and selected acoustic measures of participants' vocal productions. The ipsilateral connections between the inferior frontal regions and the caudate nuclei had higher average fractional anisotropy and mean diffusivity values than the contralateral connections. Neither contralateral connection between inferior frontal and caudate regions showed a significant advantage on any of the average morphology measures. However, individual differences in white matter morphology were significantly correlated with individual differences in vocal amplitude and frequency stability in the left frontal–right caudate connection. This cortical–striatal connection may be “tuned” for a role in the coordination of cortical and subcortical activity during speech. The structure–function relationship in this cortical-subcortical pathway supports the previous observation of a predictive pattern of cerebral blood flow during speech and may reflect a mechanism that ensures left-hemisphere control of the vocal expression of propositional language.
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Affiliation(s)
- John J Sidtis
- 1 Brain and Behavior Laboratory, Geriatrics Department, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York.,2 Department of Psychiatry, New York University Langone School of Medicine, New York, New York
| | - Muhammad Asim Mubeen
- 1 Brain and Behavior Laboratory, Geriatrics Department, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Ali Asaei
- 1 Brain and Behavior Laboratory, Geriatrics Department, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Babak Ardekani
- 3 Center for Biomedical Imaging and Neuromodulation, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Diana Van Lancker Sidtis
- 1 Brain and Behavior Laboratory, Geriatrics Department, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York.,4 Department of Communicative Sciences and Disorders, New York University Steinhardt School, New York, New York
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13
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Koenraads SPC, El Marroun H, Muetzel RL, Chang SE, Vernooij MW, Baatenburg de Jong RJ, White T, Franken MC, van der Schroeff MP. Stuttering and gray matter morphometry: A population-based neuroimaging study in young children. BRAIN AND LANGUAGE 2019; 194:121-131. [PMID: 31085031 DOI: 10.1016/j.bandl.2019.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/08/2019] [Accepted: 04/28/2019] [Indexed: 06/09/2023]
Abstract
Stuttering is a developmental speech disorder originating in early childhood. We aimed to replicate the association of stuttering and structural morphometry using a large, population-based prospective cohort, the Generation R Study, and explore the neurobiological mechanism of stuttering in children. Twenty-six children with a history of stuttering and 489 fluent speaking peers (ages 6-9) were included in the MRI sub-study. Cortical and subcortical regions of interest were analyzed using linear regression models. Compared to fluent speakers, children with a history of stuttering had less gray matter volume in the left inferior frontal gyrus and supplementary motor area. Exploratory surface-based brain analysis showed thinner cortex in the left inferior frontal gyrus, and in bilateral frontal and parietal areas. These findings corroborate previous studies that reported aberrant brain morphometry in speech motor and auditory regions in children who stutter. Future research is needed to explore the causal nature of this association.
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Affiliation(s)
- S P C Koenraads
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - H El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - R L Muetzel
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - S E Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States
| | - M W Vernooij
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - R J Baatenburg de Jong
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - T White
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M C Franken
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M P van der Schroeff
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands
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14
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Montag C, Bleek B, Reuter M, Müller T, Weber B, Faber J, Markett S. Ventral striatum and stuttering: Robust evidence from a case-control study applying DARTEL. Neuroimage Clin 2019; 23:101890. [PMID: 31255948 PMCID: PMC6606830 DOI: 10.1016/j.nicl.2019.101890] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/30/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022]
Abstract
A prominent theory of developmental stuttering highlights (dys-)function of the basal ganglia (and in particular the ventral striatum) as a main neural mechanism behind this speech disorder. Although the theory is intriguing, studies on gray matter volume differences in the basal ganglia between people who stutter and control persons have reported heterogeneous findings, either showing more or less gray matter volume of the aforementioned brain structure across the brain's hemispheres. Moreover, some studies did not observe any differences at all. From today's perspective several of the earlier studies are rather underpowered and also used less powerful statistical approaches to investigate differences in brain structure between people who stutter and controls. Therefore, the present study contrasted a comparably larger sample of n = 36 people who stutter with n = 34 control persons and applied the state of the art DARTEL algorithm (Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra) to analyze the available brain data. In the present data set stuttering was associated with higher gray matter volume of the right caudate and putamen region of the basal ganglia in patients. Our observation strongly supports a recent finding reporting a larger nucleus accumbens in the right hemisphere in people who stutter when compared to control persons. The present findings are discussed in the context of both compensatory effects of the brain and putative therapeutic effects due to treatment of stuttering.
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Affiliation(s)
- Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Germany.
| | - Benjamin Bleek
- Department of Psychology, University of Bonn, Bonn, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Bonn, Germany; Center for Economics and Neuroscience (CENs), University of Bonn, Bonn, Germany
| | - Thilo Müller
- Department for the Treatment of Stuttering, LVR Clinic Bonn, Bonn, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience (CENs), University of Bonn, Bonn, Germany; Department for NeuroCognition, Life & Brain Center, Germany; Institute of Experimental Epileptology and Cognition Research, University Hospital of Bonn, Germany
| | - Jennifer Faber
- Department of Neurology, University Hospital Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany.
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15
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Bowers A, Bowers LM, Hudock D, Ramsdell-Hudock HL. Phonological working memory in developmental stuttering: Potential insights from the neurobiology of language and cognition. JOURNAL OF FLUENCY DISORDERS 2018; 58:94-117. [PMID: 30224087 DOI: 10.1016/j.jfludis.2018.08.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 07/30/2018] [Accepted: 08/27/2018] [Indexed: 06/08/2023]
Abstract
The current review examines how neurobiological models of language and cognition could shed light on the role of phonological working memory (PWM) in developmental stuttering (DS). Toward that aim, we review Baddeley's influential multicomponent model of PWM and evidence for load-dependent differences between children and adults who stutter and typically fluent speakers in nonword repetition and dual-task paradigms. We suggest that, while nonword repetition and dual-task findings implicate processes related to PWM, it is unclear from behavioral studies alone what mechanisms are involved. To address how PWM could be related to speech output in DS, a third section reviews neurobiological models of language proposing that PWM is an emergent property of cyclic sensory and motor buffers in the dorsal stream critical for speech production. We propose that anomalous sensorimotor timing could potentially interrupt both fluent speech in DS and the emergent properties of PWM. To further address the role of attention and executive function in PWM and DS, we also review neurobiological models proposing that prefrontal cortex (PFC) and basal ganglia (BG) function to facilitate working memory under distracting conditions and neuroimaging evidence implicating the PFC and BG in stuttering. Finally, we argue that cognitive-behavioral differences in nonword repetition and dual-tasks are consistent with the involvement of neurocognitive networks related to executive function and sensorimotor integration in PWM. We suggest progress in understanding the relationship between stuttering and PWM may be accomplished using high-temporal resolution electromagnetic experimental approaches.
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Affiliation(s)
- Andrew Bowers
- University of Arkansas, Epley Center for Health Professions, 606 N. Razorback Road, Fayetteville, AR 72701, United States.
| | - Lisa M Bowers
- University of Arkansas, Epley Center for Health Professions, 606 N. Razorback Road, Fayetteville, AR 72701, United States.
| | - Daniel Hudock
- Idaho State University, 650 Memorial Dr. Bldg. 68, Pocatello, ID 83201, United States.
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16
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Whitfield JA, Delong C, Goberman AM, Blomgren M. Fluency adaptation in speakers with Parkinson disease: a motor learning perspective. INTERNATIONAL JOURNAL OF SPEECH-LANGUAGE PATHOLOGY 2018; 20:699-707. [PMID: 28665156 DOI: 10.1080/17549507.2017.1341549] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 05/27/2017] [Accepted: 06/01/2017] [Indexed: 06/07/2023]
Abstract
PURPOSE Fluency adaptation is characterised by a reduction in stuttering-like behaviours over successive readings of the same speech material and is an effect that is typically observed in developmental stuttering. Prominent theories suggest that short-term motor learning associated with practice explain, in part, fluency adaptation. The current investigation examined the fluency adaptation effect in a group of speakers with Parkinson disease (PD) who exhibited stuttering-like disfluencies. METHOD Individuals with PD (n = 21) and neurologically healthy controls (n = 19) read a passage five times. Per cent syllables stuttered was measured and calculated for each reading passage. RESULT Participants in the PD group exhibited significantly more stuttering-like disfluencies than control speakers. Twelve individuals in the PD group exhibited at least three per cent syllable stuttered on at least one reading. Statistical trends revealed that the subgroup of individuals with PD who stuttered exhibited a significant reduction in stuttering moments over the five successive readings. CONCLUSION A significant fluency adaptation effect was observed for the group of speakers with PD who exhibited stuttering-like disfluencies. Results of the current study are discussed within the framework of the motor learning hypothesis of fluency adaptation.
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Affiliation(s)
- Jason A Whitfield
- a Department of Communication Sciences and Disorders , Bowling Green State University , Bowling Green , OH , USA and
| | - Catharine Delong
- b Department of Communication Sciences and Disorders , University of Utah , Salt Lake City , UT , USA
| | - Alexander M Goberman
- a Department of Communication Sciences and Disorders , Bowling Green State University , Bowling Green , OH , USA and
| | - Michael Blomgren
- b Department of Communication Sciences and Disorders , University of Utah , Salt Lake City , UT , USA
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17
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Juste FS, Sassi FC, Costa JB, de Andrade CRF. Frequency of speech disruptions in Parkinson's Disease and developmental stuttering: A comparison among speech tasks. PLoS One 2018; 13:e0199054. [PMID: 29912919 PMCID: PMC6005540 DOI: 10.1371/journal.pone.0199054] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 05/30/2018] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To analyze the frequency of speech disruptions across different speech tasks, comparing the performance of individuals with Parkinson's Disease (PD) and DS. METHOD Participants were 20 people with PD, 20 people with DS and 40 fluent individuals. Speech samples were recorded during monologue speech, choral and solo oral reading. Transcriptions of 200 fluent syllables were performed to identify stuttering-like disfluencies (SLDs) and other disfluencies (ODs). RESULTS People with PD presented significantly less speech disruptions when compared to people with DS, but significantly more speech disruptions than the control group. Stuttering-like disfluencies ocurred more frequently during monologue speech and solo oral reading for both PD and DS, whereas the control group did not present difference between these tasks. CONCLUSION The stuttering pattern presented by people with PD is different from what is usually described as being neurogenic stuttering.
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Affiliation(s)
- Fabiola Staróbole Juste
- Department of Speech-Language and Hearing Science, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Fernanda Chiarion Sassi
- Department of Speech-Language and Hearing Science, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Julia Biancalana Costa
- Department of Speech-Language and Hearing Science, School of Medicine, University of São Paulo, São Paulo, Brazil
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18
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Etchell A, Adhikari A, Weinberg LS, Choo AL, Garnett EO, Chow HM, Chang SE. A systematic literature review of sex differences in childhood language and brain development. Neuropsychologia 2018; 114:19-31. [PMID: 29654881 PMCID: PMC5988993 DOI: 10.1016/j.neuropsychologia.2018.04.011] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 04/01/2018] [Accepted: 04/09/2018] [Indexed: 01/07/2023]
Abstract
The extent of sex differences in childhood language development is unclear. We conducted a systematic literature review synthesizing results from studies examining sex differences in brain structure and function relevant to language development during childhood. We searched PubMed and Scopus databases, and this returned a total of 46 published studies meeting criteria for inclusion that directly examined sex differences in brain development relevant to language function in children. The results indicate that: (a) sex differences in brain structure or function do not necessarily lead to differences in language task performance; (b) evidence for sex differences in brain and language development are limited; (c) when present, sex differences often interact with a variety of factors such as age and task. Overall, the magnitude of sexual dimorphism of brain developmental trajectories associated with language is not as significant as previously thought. Sex differences were found, however, in studies employing tighter age ranges. This suggests that sex differences may be more prominent during certain developmental stages but are negligible in other stages, likely due to different rates of maturation between the sexes. More research is needed to improve our understanding of how sex differences may arise due to the influence of sex hormones and developmental stages, and how these differences may lead to differences in various language task performance. These studies are expected to provide normative information that may be used in studies examining neurodevelopmental disorders that frequently affect more males than females, and also often affect language development.
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Affiliation(s)
- Andrew Etchell
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
| | - Aditi Adhikari
- College of Arts and Sciences, University of North Carolina at Chapel Hill, USA
| | - Lauren S Weinberg
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI, USA
| | - Ai Leen Choo
- Department of Communication Sciences and Disorders, Georgia State University, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ho Ming Chow
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Katzin Diagnostic & Research PET/MR Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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19
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Eggers K, De Nil LF, Van den Bergh BRH. Exogenously triggered response inhibition in developmental stuttering. JOURNAL OF FLUENCY DISORDERS 2018; 56:33-44. [PMID: 29494965 DOI: 10.1016/j.jfludis.2018.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 11/08/2017] [Accepted: 02/16/2018] [Indexed: 06/08/2023]
Abstract
PURPOSE The purpose of the present study was to examine relations between children's exogenously triggered response inhibition and stuttering. METHOD Participants were 18 children who stutter (CWS; mean age = 9;01 years) and 18 children who not stutter (CWNS; mean age = 9;01 years). Participants were matched on age (±3 months) and gender. Response inhibition was assessed by a stop signal task (Verbruggen, Logan, & Stevens, 2008). RESULTS Results suggest that CWS, compared to CWNS, perform comparable to CWNS in a task where response control is externally triggered. CONCLUSIONS Our findings seem to indicate that previous questionnaire-based findings (Eggers, De Nil, & Van den Bergh, 2010) of a decreased efficiency of response inhibition cannot be generalized to all types of response inhibition.
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Affiliation(s)
- Kurt Eggers
- Dept. of Speech-Language Therapy, Thomas More University College, Belgium; Experimental Otorinolaryngology, Dept. of Neurosciences, University of Leuven, Belgium; Dept. of Psychology and Speech-Language Pathology, University of Turku, Finland.
| | - Luc F De Nil
- Experimental Otorinolaryngology, Dept. of Neurosciences, University of Leuven, Belgium; Dept. of Speech-Language Pathology, University of Toronto, Canada.
| | - Bea R H Van den Bergh
- Dept. of Psychology, Tilburg University, The Netherlands; Dept. of Psychology, University of Leuven, Belgium.
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20
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Sidtis JJ, Van Lancker Sidtis D, Dhawan V, Eidelberg D. Switching Language Modes: Complementary Brain Patterns for Formulaic and Propositional Language. Brain Connect 2018; 8:189-196. [PMID: 29357680 PMCID: PMC5899291 DOI: 10.1089/brain.2017.0573] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Language has been modeled as a rule governed behavior for generating an unlimited number of novel utterances using phonological, syntactic, and lexical processes. This view of language as essentially propositional is expanding as a contributory role of formulaic expressions (e.g., you know, have a nice day, how are you?) is increasingly recognized. The basic features of the functional anatomy of this language system have been described by studies of brain damage: left lateralization for propositional language and greater right lateralization and basal ganglia involvement for formulaic expressions. Positron emission tomography (PET) studies of cerebral blood flow (CBF) have established a cortical-subcortical pattern of brain activity predictive of syllable rate during phonological/lexical repetition. The same analytic approach was applied to analyzing brain images obtained during spontaneous monologues. Sixteen normal, right-handed, native English speakers underwent PET scanning during several language tasks. Speech rate for the repetition of phonological/lexical items was predicted by increased CBF in the left inferior frontal region and decreased CBF in the head of the right caudate nucleus, replicating previous results. A complementary cortical-subcortical pattern (CBF increased in the right inferior frontal region and decreased in the left caudate) was predictive of the use of speech formulas during monologue speech. The use of propositional language during the monologues was associated with strong left lateralization (increased CBF at the left inferior frontal region and decreased CBF at the right inferior frontal region). Normal communication involves the integration of two language modes, formulaic and novel, that have different neural substrates.
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Affiliation(s)
- John J. Sidtis
- Brain and Behavior Laboratory, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
- Department of Psychiatry, New York University Langone School of Medicine, New York, New York
| | - Diana Van Lancker Sidtis
- Brain and Behavior Laboratory, The Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
- Department of Communicative Sciences and Disorders, New York University Steinhardt School, New York, New York
| | - Vijay Dhawan
- Center for Neurosciences, Feinstein Institute for Medical Research, Manhasset, New York
| | - David Eidelberg
- Center for Neurosciences, Feinstein Institute for Medical Research, Manhasset, New York
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21
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Etchell AC, Civier O, Ballard KJ, Sowman PF. A systematic literature review of neuroimaging research on developmental stuttering between 1995 and 2016. JOURNAL OF FLUENCY DISORDERS 2018; 55:6-45. [PMID: 28778745 DOI: 10.1016/j.jfludis.2017.03.007] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 01/25/2017] [Accepted: 03/06/2017] [Indexed: 05/14/2023]
Abstract
PURPOSE Stuttering is a disorder that affects millions of people all over the world. Over the past two decades, there has been a great deal of interest in investigating the neural basis of the disorder. This systematic literature review is intended to provide a comprehensive summary of the neuroimaging literature on developmental stuttering. It is a resource for researchers to quickly and easily identify relevant studies for their areas of interest and enable them to determine the most appropriate methodology to utilize in their work. The review also highlights gaps in the literature in terms of methodology and areas of research. METHODS We conducted a systematic literature review on neuroimaging studies on developmental stuttering according to the PRISMA guidelines. We searched for articles in the pubmed database containing "stuttering" OR "stammering" AND either "MRI", "PET", "EEG", "MEG", "TMS"or "brain" that were published between 1995/01/01 and 2016/01/01. RESULTS The search returned a total of 359 items with an additional 26 identified from a manual search. Of these, there were a total of 111 full text articles that met criteria for inclusion in the systematic literature review. We also discuss neuroimaging studies on developmental stuttering published throughout 2016. The discussion of the results is organized first by methodology and second by population (i.e., adults or children) and includes tables that contain all items returned by the search. CONCLUSIONS There are widespread abnormalities in the structural architecture and functional organization of the brains of adults and children who stutter. These are evident not only in speech tasks, but also non-speech tasks. Future research should make greater use of functional neuroimaging and noninvasive brain stimulation, and employ structural methodologies that have greater sensitivity. Newly planned studies should also investigate sex differences, focus on augmenting treatment, examine moments of dysfluency and longitudinally or cross-sectionally investigate developmental trajectories in stuttering.
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Affiliation(s)
- Andrew C Etchell
- Department of Psychiatry, University of Michigan, MI, United States; Department of Cognitive Science, Macquarie University, Sydney, Australia.
| | - Oren Civier
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Kirrie J Ballard
- Faculty of Health Sciences, University of Sydney, Sydney, Australia
| | - Paul F Sowman
- Department of Cognitive Science, Macquarie University, Sydney, Australia
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22
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Gough PM, Connally EL, Howell P, Ward D, Chesters J, Watkins KE. Planum temporale asymmetry in people who stutter. JOURNAL OF FLUENCY DISORDERS 2018; 55:94-105. [PMID: 28648465 PMCID: PMC5846813 DOI: 10.1016/j.jfludis.2017.06.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 06/07/2017] [Accepted: 06/15/2017] [Indexed: 06/08/2023]
Abstract
PURPOSE Previous studies have reported that the planum temporale - a language-related structure that normally shows a leftward asymmetry - had reduced asymmetry in people who stutter (PWS) and reversed asymmetry in those with severe stuttering. These findings are consistent with the theory that altered language lateralization may be a cause or consequence of stuttering. Here, we re-examined these findings in a larger sample of PWS. METHODS We evaluated planum temporale asymmetry in structural MRI scans obtained from 67 PWS and 63 age-matched controls using: 1) manual measurements of the surface area; 2) voxel-based morphometry to automatically calculate grey matter density. We examined the influences of gender, age, and stuttering severity on planum temporale asymmetry. RESULTS The size of the planum temporale and its asymmetry were not different in PWS compared with Controls using either the manual or the automated method. Both groups showed a significant leftwards asymmetry on average (about one-third of PWS and Controls showed rightward asymmetry). Importantly, and contrary to previous reports, the degree of asymmetry was not related to stuttering severity. In the manual measurements, women who stutter had a tendency towards rightwards asymmetry but men who stutter showed the same degree of leftwards asymmetry as male Controls. In the automated measurements, Controls showed a significant increase in leftwards asymmetry with age but this relationship was not observed in PWS. CONCLUSIONS We conclude that reduced planum temporale asymmetry is not a prominent feature of the brain in PWS and that the asymmetry is unrelated to stuttering severity.
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Affiliation(s)
- Patricia M Gough
- Department of Psychology, Maynooth University, Maynooth, Co. Kildare, Ireland
| | - Emily L Connally
- Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 3UD, UK
| | - Peter Howell
- Department of Psychology, University College London, Bedford Way, London, WC1E 6BT, UK
| | - David Ward
- School of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Earley Gate, Reading, RG6 7BE, UK
| | - Jennifer Chesters
- Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 3UD, UK
| | - Kate E Watkins
- Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, OX1 3UD, UK.
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Guadalupe T, Mathias SR, vanErp TGM, Whelan CD, Zwiers MP, Abe Y, Abramovic L, Agartz I, Andreassen OA, Arias-Vásquez A, Aribisala BS, Armstrong NJ, Arolt V, Artiges E, Ayesa-Arriola R, Baboyan VG, Banaschewski T, Barker G, Bastin ME, Baune BT, Blangero J, Bokde ALW, Boedhoe PSW, Bose A, Brem S, Brodaty H, Bromberg U, Brooks S, Büchel C, Buitelaar J, Calhoun VD, Cannon DM, Cattrell A, Cheng Y, Conrod PJ, Conzelmann A, Corvin A, Crespo-Facorro B, Crivello F, Dannlowski U, de Zubicaray GI, de Zwarte SMC, Deary IJ, Desrivières S, Doan NT, Donohoe G, Dørum ES, Ehrlich S, Espeseth T, Fernández G, Flor H, Fouche JP, Frouin V, Fukunaga M, Gallinat J, Garavan H, Gill M, Suarez AG, Gowland P, Grabe HJ, Grotegerd D, Gruber O, Hagenaars S, Hashimoto R, Hauser TU, Heinz A, Hibar DP, Hoekstra PJ, Hoogman M, Howells FM, Hu H, Hulshoff Pol HE, Huyser C, Ittermann B, Jahanshad N, Jönsson EG, Jurk S, Kahn RS, Kelly S, Kraemer B, Kugel H, Kwon JS, Lemaitre H, Lesch KP, Lochner C, Luciano M, Marquand AF, Martin NG, Martínez-Zalacaín I, Martinot JL, Mataix-Cols D, Mather K, McDonald C, McMahon KL, Medland SE, Menchón JM, Morris DW, Mothersill O, Maniega SM, Mwangi B, Nakamae T, Nakao T, Narayanaswaamy JC, Nees F, Nordvik JE, Onnink AMH, Opel N, Ophoff R, Paillère Martinot ML, Papadopoulos Orfanos D, Pauli P, Paus T, Poustka L, Reddy JY, Renteria ME, Roiz-Santiáñez R, Roos A, Royle NA, Sachdev P, Sánchez-Juan P, Schmaal L, Schumann G, Shumskaya E, Smolka MN, Soares JC, Soriano-Mas C, Stein DJ, Strike LT, Toro R, Turner JA, Tzourio-Mazoyer N, Uhlmann A, Hernández MV, van den Heuvel OA, van der Meer D, van Haren NEM, Veltman DJ, Venkatasubramanian G, Vetter NC, Vuletic D, Walitza S, Walter H, Walton E, Wang Z, Wardlaw J, Wen W, Westlye LT, Whelan R, Wittfeld K, Wolfers T, Wright MJ, Xu J, Xu X, Yun JY, Zhao J, Franke B, Thompson PM, Glahn DC, Mazoyer B, Fisher SE, Francks C. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging Behav 2017; 11:1497-1514. [PMID: 27738994 PMCID: PMC5540813 DOI: 10.1007/s11682-016-9629-z] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.
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Affiliation(s)
- Tulio Guadalupe
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Nijmegen, The Netherlands
| | - Samuel R Mathias
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06519, USA
| | - Theo G M vanErp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Christopher D Whelan
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
- Molecular and Cellular Therapeutics, The Royal College of Surgeons, Dublin 2, Ireland
| | - Marcel P Zwiers
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lucija Abramovic
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ingrid Agartz
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
| | - Ole A Andreassen
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Alejandro Arias-Vásquez
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Benjamin S Aribisala
- Department of Computer Science, Lagos State University, Lagos, Nigeria
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Nicola J Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
- Mathematics and Statistics, Murdoch University, Murdoch, Australia
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Vatche G Baboyan
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Gareth Barker
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mark E Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - Bernhard T Baune
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, 5005, Australia
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neurosciences, Trinity College Dublin, Dublin, Ireland
| | - Premika S W Boedhoe
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
| | - Anushree Bose
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Silvia Brem
- University Clinic for and Adolescent Psychiatry UCCAP, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), & Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Samantha Brooks
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry, Radboud university medical center, Nijmegen, The Netherlands
| | - Vince D Calhoun
- Departments of Electrical and Computer Engineering,Neurosciences, Computer Science, and Psychiatry, The University of New Mexico, Albuquerque, NM, USA
- The Mind Research Network, Albuquerque, NM, USA
| | - Dara M Cannon
- Centre for Neuroimaging, Cognition & Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Anna Cattrell
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Yuqi Cheng
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Patricia J Conrod
- Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montréal, Canada
- Department of Psychological Medicine and Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Annette Conzelmann
- Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Germany, Tübingen, Würzburg, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | | | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane City, Australia
| | - Sonja M C de Zwarte
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nhat Trung Doan
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
- Department of Psychiatry & trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erlend S Dørum
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Stefan Ehrlich
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, USA
| | - Thomas Espeseth
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT - KG Jebsen Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Jean-Paul Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique, CEA-Saclay Center, Paris, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Martinistrasse 52, 20246, Hamburg, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Michael Gill
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Andrea Gonzalez Suarez
- Service of Neurology, University Hospital Marqués de Valdecilla (IDIVAL), University of Cantabria (UC), Santander, Spain
- CIBERNED, Centro de Investigación Biomédica en red Enfermedades Neurodegenerativas, Madrid, Spain
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, HELIOS Hospital Stralsund, Stralsund, Germany
| | | | - Oliver Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, D-37075, Göttingen, Germany
| | - Saskia Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tobias U Hauser
- University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, Zurich, Switzerland
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- UCL Max Planck Centre for Computational Psychiatry and Ageing, University College London, London, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Derrek P Hibar
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Fleur M Howells
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Hao Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 Wan Ping Nan Road, Shanghai, 200030, China
| | | | - Chaim Huyser
- De Bascule, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
- AMC, department of child and adolescent psychiatry, Amsterdam, The Netherlands
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Neda Jahanshad
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Erik G Jönsson
- Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine. Psychiatry section, University of Oslo, Oslo, Norway
| | - Sarah Jurk
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Rene S Kahn
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Sinead Kelly
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, 90292, USA
| | - Bernd Kraemer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, D-37075, Göttingen, Germany
| | - Harald Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Jun Soo Kwon
- Department of Psychiatry & Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
- Department of Brain & Cognitive Sciences, College of Natural Science, Seoul National University, Seoul, Republic of Korea
| | - Herve Lemaitre
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
- Department of Translational Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Christine Lochner
- Department of Psychiatry, University of Stellenbosch and MRC Unit on Anxiety & Stress Disorders, Tygerberg, Cape Town, South Africa
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | | | - Ignacio Martínez-Zalacaín
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité, and Maison de Solenn, Paris, France
- Maison de Solenn, Paris, France
| | - David Mataix-Cols
- Department of Clinical Neuroscience,Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Karen Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Colm McDonald
- Centre for Neuroimaging, Cognition & Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Katie L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Derek W Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
| | - Omar Mothersill
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, SW4 794, Galway, Ireland
| | - Susana Munoz Maniega
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Benson Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Neural Computation for Decision-Making, ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | | | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Jan E Nordvik
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - A Marten H Onnink
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel Ophoff
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes -Sorbonne Paris Cité, Paris, France
- AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France
| | | | - Paul Pauli
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Tomáš Paus
- Rotman Research Institute, Baycrest and Departments of Psychology and Psychiatry, University of Toronto, M6A 2E1, Toronto, ON, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Janardhan Yc Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Roberto Roiz-Santiáñez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Annerine Roos
- Department of Psychiatry, University of Stellenbosch and MRC Unit on Anxiety & Stress Disorders, Tygerberg, Cape Town, South Africa
| | - Natalie A Royle
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Pascual Sánchez-Juan
- Service of Neurology, University Hospital Marqués de Valdecilla (IDIVAL), University of Cantabria (UC), Santander, Spain
- CIBERNED, Centro de Investigación Biomédica en red Enfermedades Neurodegenerativas, Madrid, Spain
| | - Lianne Schmaal
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Elena Shumskaya
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, 77054, USA
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital - Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Dan J Stein
- Department of Psychiatry, University of Cape Town and MRC Unit on Anxiety & Stress Disorders, Cape Town, South Africa
| | - Lachlan T Strike
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Roberto Toro
- Laboratory of Human Genetics and Cognitive Functions, Institut Pasteur, 75015, Paris, France
| | - Jessica A Turner
- The Mind Research Network, Albuquerque, NM, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Department of Neuroscience, Georgia State University, Atlanta, GA, USA
| | | | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Observatory, Cape Town, South Africa
| | - Maria Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Odile A van den Heuvel
- Department of Anatomy & Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU/VUMC, Amsterdam, The Netherlands
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Dennis van der Meer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Neeltje E M van Haren
- Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Nora C Vetter
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Daniella Vuletic
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Susanne Walitza
- University Clinic for Child and Adolescent Psychiatry (UCCAP), University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Esther Walton
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 Wan Ping Nan Road, Shanghai, 200030, China
| | - Joanna Wardlaw
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia
| | - Lars T Westlye
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Robert Whelan
- Department of Psychology, University College Dublin, Dublin, Ireland
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock, Greifswald, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Margaret J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Queensland Brain Institute and Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Jian Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea
| | - JingJing Zhao
- Cognitive Genetics and Therapy Group, School of Psychology & Discipline of Biochemistry, National University of Ireland Galway, Galway, SW4 794, Ireland
- School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging & Informatics, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, 06511, USA
- Olin Neuropsychiatric Research Center, Hartford, CT, 06114, USA
| | - Bernard Mazoyer
- UMR5296 CNRS, CEA and University of Bordeaux, Bordeaux, France
| | - Simon E Fisher
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - Clyde Francks
- Language & Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands.
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Qiao J, Wang Z, Zhao G, Huo Y, Herder CL, Sikora CO, Peterson BS. Functional neural circuits that underlie developmental stuttering. PLoS One 2017; 12:e0179255. [PMID: 28759567 PMCID: PMC5536300 DOI: 10.1371/journal.pone.0179255] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 05/28/2017] [Indexed: 12/13/2022] Open
Abstract
The aim of this study was to identify differences in functional and effective brain connectivity between persons who stutter (PWS) and typically developing (TD) fluent speakers, and to assess whether those differences can serve as biomarkers to distinguish PWS from TD controls. We acquired resting-state functional magnetic resonance imaging data in 44 PWS and 50 TD controls. We then used Independent Component Analysis (ICA) together with Hierarchical Partner Matching (HPM) to identify networks of robust, functionally connected brain regions that were highly reproducible across participants, and we assessed whether connectivity differed significantly across diagnostic groups. We then used Granger Causality (GC) to study the causal interactions (effective connectivity) between the regions that ICA and HPM identified. Finally, we used a kernel support vector machine to assess how well these measures of functional connectivity and granger causality discriminate PWS from TD controls. Functional connectivity was stronger in PWS compared with TD controls in the supplementary motor area (SMA) and primary motor cortices, but weaker in inferior frontal cortex (IFG, Broca’s area), caudate, putamen, and thalamus. Additionally, causal influences were significantly weaker in PWS from the IFG to SMA, and from the basal ganglia to IFG through the thalamus, compared to TD controls. ICA and GC indices together yielded an accuracy of 92.7% in classifying PWS from TD controls. Our findings suggest the presence of dysfunctional circuits that support speech planning and timing cues for the initiation and execution of motor sequences in PWS. Our high accuracy of classification further suggests that these aberrant brain features may serve as robust biomarkers for PWS.
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Affiliation(s)
- Jianping Qiao
- School of Physics and Electronics, Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Data Science and Technology, Shandong Normal University, Jinan, China
- Department of Psychiatry, Columbia University, New York, NY, United States of America
| | - Zhishun Wang
- Department of Psychiatry, Columbia University, New York, NY, United States of America
- * E-mail: (ZW); (GZ)
| | - Guihu Zhao
- School of Information Science and Engineering, Central South University, Changsha, China
- * E-mail: (ZW); (GZ)
| | - Yuankai Huo
- Department of Psychiatry, Columbia University, New York, NY, United States of America
| | - Carl L. Herder
- American Institute for Stuttering, New York, NY, United States of America
| | - Chamonix O. Sikora
- American Institute for Stuttering, New York, NY, United States of America
| | - Bradley S. Peterson
- Institute for the Developing Mind, Children’s Hospital Los Angeles, CA, United States of America
- Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA, United States of America
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25
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Sowman PF, Ryan M, Johnson BW, Savage G, Crain S, Harrison E, Martin E, Burianová H. Grey matter volume differences in the left caudate nucleus of people who stutter. BRAIN AND LANGUAGE 2017; 164:9-15. [PMID: 27693846 DOI: 10.1016/j.bandl.2016.08.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 08/22/2016] [Accepted: 08/28/2016] [Indexed: 06/06/2023]
Abstract
The cause of stuttering has many theoretical explanations. A number of research groups have suggested changes in the volume and/or function of the striatum as a causal agent. Two recent studies in children and one in adults who stutter (AWS) report differences in striatal volume compared that seen in controls; however, the laterality and nature of this anatomical volume difference is not consistent across studies. The current study investigated whether a reduction in striatal grey matter volume, comparable to that seen in children who stutter (CWS), would be found in AWS. Such a finding would support claims that an anatomical striatal anomaly plays a causal role in stuttering. We used voxel-based morphometry to examine the structure of the striatum in a group of AWS and compared it to that in a group of matched adult control subjects. Results showed a statistically significant group difference for the left caudate nucleus, with smaller mean volume in the group of AWS. The caudate nucleus, one of three main structures within the striatum, is thought to be critical for the planning and modulation of movement sequencing. The difference in striatal volume found here aligns with theoretical accounts of stuttering, which suggest it is a motor control disorder that arises from deficient articulatory movement selection and sequencing. Whilst the current study provides further evidence of a striatal volume difference in stuttering at the group level compared to controls, the significant overlap between AWS and controls suggests this difference is unlikely to be diagnostic of stuttering.
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Affiliation(s)
- Paul F Sowman
- Department of Cognitive Science, Macquarie University, New South Wales 2109, Australia; Australian Research Council Centre of Excellence in Cognition and Its Disorders, Australia; Perception and Action Research Centre, Faculty of Human Sciences, Macquarie University, New South Wales 2109, Australia.
| | - Margaret Ryan
- Department of Cognitive Science, Macquarie University, New South Wales 2109, Australia; Australian Research Council Centre of Excellence in Cognition and Its Disorders, Australia
| | - Blake W Johnson
- Department of Cognitive Science, Macquarie University, New South Wales 2109, Australia; Australian Research Council Centre of Excellence in Cognition and Its Disorders, Australia
| | - Greg Savage
- Australian Research Council Centre of Excellence in Cognition and Its Disorders, Australia; Department of Psychology, Macquarie University, New South Wales 2109, Australia
| | - Stephen Crain
- Australian Research Council Centre of Excellence in Cognition and Its Disorders, Australia; Department of Linguistics, Macquarie University, New South Wales 2109, Australia
| | - Elisabeth Harrison
- Department of Linguistics, Macquarie University, New South Wales 2109, Australia
| | - Erin Martin
- Department of Cognitive Science, Macquarie University, New South Wales 2109, Australia
| | - Hana Burianová
- Centre for Advanced Imaging, The University of Queensland, Queensland 4072, Australia
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26
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Mock JR, Foundas AL, Golob EJ. Cortical activity during cued picture naming predicts individual differences in stuttering frequency. Clin Neurophysiol 2016; 127:3093-3101. [PMID: 27472545 DOI: 10.1016/j.clinph.2016.06.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 06/02/2016] [Accepted: 06/08/2016] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Developmental stuttering is characterized by fluent speech punctuated by stuttering events, the frequency of which varies among individuals and contexts. Most stuttering events occur at the beginning of an utterance, suggesting neural dynamics associated with stuttering may be evident during speech preparation. METHODS This study used EEG to measure cortical activity during speech preparation in men who stutter, and compared the EEG measures to individual differences in stuttering rate as well as to a fluent control group. Each trial contained a cue followed by an acoustic probe at one of two onset times (early or late), and then a picture. There were two conditions: a speech condition where cues induced speech preparation of the picture's name and a control condition that minimized speech preparation. RESULTS Across conditions stuttering frequency correlated to cue-related EEG beta power and auditory ERP slow waves from early onset acoustic probes. CONCLUSIONS The findings reveal two new cortical markers of stuttering frequency that were present in both conditions, manifest at different times, are elicited by different stimuli (visual cue, auditory probe), and have different EEG responses (beta power, ERP slow wave). SIGNIFICANCE The cue-target paradigm evoked brain responses that correlated to pre-experimental stuttering rate.
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Affiliation(s)
- Jeffrey R Mock
- Department of Psychology, Tulane University, New Orleans, LA 70118, USA.
| | - Anne L Foundas
- Department of Psychology, Tulane University, New Orleans, LA 70118, USA
| | - Edward J Golob
- Department of Psychology, Tulane University, New Orleans, LA 70118, USA; Program in Neuroscience, Tulane University, New Orleans, LA 70118, USA
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27
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Rogić Vidaković M, Jerković A, Jurić T, Vujović I, Šoda J, Erceg N, Bubić A, Zmajević Schönwald M, Lioumis P, Gabelica D, Đogaš Z. Neurophysiologic markers of primary motor cortex for laryngeal muscles and premotor cortex in caudal opercular part of inferior frontal gyrus investigated in motor speech disorder: a navigated transcranial magnetic stimulation (TMS) study. Cogn Process 2016; 17:429-442. [PMID: 27130564 DOI: 10.1007/s10339-016-0766-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 04/18/2016] [Indexed: 11/24/2022]
Abstract
Transcranial magnetic stimulation studies have so far reported the results of mapping the primary motor cortex (M1) for hand and tongue muscles in stuttering disorder. This study was designed to evaluate the feasibility of repetitive navigated transcranial magnetic stimulation (rTMS) for locating the M1 for laryngeal muscle and premotor cortical area in the caudal opercular part of inferior frontal gyrus, corresponding to Broca's area in stuttering subjects by applying new methodology for mapping these motor speech areas. Sixteen stuttering and eleven control subjects underwent rTMS motor speech mapping using modified patterned rTMS. The subjects performed visual object naming task during rTMS applied to the (a) left M1 for laryngeal muscles for recording corticobulbar motor-evoked potentials (CoMEP) from cricothyroid muscle and (b) left premotor cortical area in the caudal opercular part of inferior frontal gyrus while recording long latency responses (LLR) from cricothyroid muscle. The latency of CoMEP in control subjects was 11.75 ± 2.07 ms and CoMEP amplitude was 294.47 ± 208.87 µV, and in stuttering subjects CoMEP latency was 12.13 ± 0.75 ms and 504.64 ± 487.93 µV CoMEP amplitude. The latency of LLR in control subjects was 52.8 ± 8.6 ms and 54.95 ± 4.86 in stuttering subjects. No significant differences were found in CoMEP latency, CoMEP amplitude, and LLR latency between stuttering and control-fluent speakers. These results indicate there are probably no differences in stuttering compared to controls in functional anatomy of the pathway used for transmission of information from premotor cortex to the M1 cortices for laryngeal muscle representation and from there via corticobulbar tract to laryngeal muscles.
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Affiliation(s)
- Maja Rogić Vidaković
- School of Medicine, Laboratory for Human and Experimental Neurophysiology (LAHEN), Department of Neuroscience, University of Split, Šoltanska 2, 21000, Split, Croatia.
| | - Ana Jerković
- Faculty of Philosophy, University of Zagreb, Ivana Lučića 3, 10000, Zagreb, Croatia
| | - Tomislav Jurić
- Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Electronics, University of Split, R. Boškovića 32, Split, Croatia
| | - Igor Vujović
- Faculty of Maritime Studies, Signal Processing, Analysis and Advanced Diagnostics Research and Education Laboratory (SPAADREL), University of Split, Ruđera-Boškovića 37, Split, Croatia
| | - Joško Šoda
- Faculty of Maritime Studies, Signal Processing, Analysis and Advanced Diagnostics Research and Education Laboratory (SPAADREL), University of Split, Ruđera-Boškovića 37, Split, Croatia
| | - Nikola Erceg
- Faculty of Humanities and Social Sciences, University of Split, Put iza nove bolnice 10 C, Split, Croatia
| | - Andreja Bubić
- Faculty of Humanities and Social Sciences, University of Split, Put iza nove bolnice 10 C, Split, Croatia
| | - Marina Zmajević Schönwald
- Clinical Medical Centre "Sisters of Mercy", Department of Neurosurgery, Clinical Unit for Intraoperative Neurophysiologic Monitoring, Vinogradska 29 A, Zagreb, Croatia
| | - Pantelis Lioumis
- Bio Mag Laboratory HUS Medical Imaging center, Helsinki University Hospital, P.O. Box 340, 00029, HUS, Helsinki, Finland
| | - Dragan Gabelica
- School of Medicine, Laboratory for Human and Experimental Neurophysiology (LAHEN), Department of Neuroscience, University of Split, Šoltanska 2, 21000, Split, Croatia.,SGM Medical Monitoring, Grge Novaka 22A, 21000, Split, Croatia
| | - Zoran Đogaš
- School of Medicine, Laboratory for Human and Experimental Neurophysiology (LAHEN), Department of Neuroscience, University of Split, Šoltanska 2, 21000, Split, Croatia
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28
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Chen H, Xu J, Zhou Y, Gao Y, Wang G, Xia J, Huen MSY, Siok WT, Jiang Y, Tan LH, Sun Y. Association study of stuttering candidate genes GNPTAB, GNPTG and NAGPA with dyslexia in Chinese population. BMC Genet 2015; 16:7. [PMID: 25643770 PMCID: PMC4342093 DOI: 10.1186/s12863-015-0172-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 01/21/2015] [Indexed: 11/20/2022] Open
Abstract
Background Dyslexia is a polygenic speech and language disorder characterized by an unexpected difficulty in reading in children and adults despite normal intelligence and schooling. Increasing evidence reveals that different speech and language disorders could share common genetic factors. As previous study reported association of GNPTAB, GNPTG and NAGPA with stuttering, we investigated these genes with dyslexia through association analysis. Results The study was carried out in an unrelated Chinese cohort with 502 dyslexic individuals and 522 healthy controls. In all, 21 Tag SNPs covering GNPTAB, GNPTG and NAGPA were subjected to genotyping. Association analysis was performed on all SNPs. Significant association of rs17031962 in GNPTAB and rs882294 in NAGPA with developmental dyslexia was identified after FDR correction for multiple comparisons. Conclusion Our results revealed that the stuttering risk genes GNPTAB and NAGPA might also associate with developmental dyslexia in the Chinese population. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0172-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Huan Chen
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 102206, China.
| | - Junquan Xu
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China.
| | - Yuxi Zhou
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China.
| | - Yong Gao
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China.
| | - Guoqing Wang
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China.
| | - Jiguang Xia
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China.
| | - Michael S Y Huen
- Department of Anatomy, The University of Hong Kong, Hong Kong, China.
| | - Wai Ting Siok
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China. .,School of Humanities, The University of Hong Kong, Hong Kong, China.
| | - Yuyang Jiang
- The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, The Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
| | - Li Hai Tan
- Neuroimaging Laboratory, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China. .,Guangdong Key Laboratory of Biomedical Information Detection and Ultrasound Imaging, Shenzhen, 518060, China.
| | - Yimin Sun
- National Engineering Research Center for Beijing Biochip Technology, Beijing, 102206, China. .,CapitalBio Corporation, Beijing, 102206, China. .,The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, The Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. .,Medical Systems Biology Research Center, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.
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29
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Chang SE, Zhu DC, Choo AL, Angstadt M. White matter neuroanatomical differences in young children who stutter. ACTA ACUST UNITED AC 2015; 138:694-711. [PMID: 25619509 DOI: 10.1093/brain/awu400] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The ability to express thoughts through fluent speech production is a most human faculty, one that is often taken for granted. Stuttering, which disrupts the smooth flow of speech, affects 5% of preschool-age children and 1% of the general population, and can lead to significant communication difficulties and negative psychosocial consequences throughout one's lifetime. Despite the fact that symptom onset typically occurs during early childhood, few studies have yet examined the possible neural bases of developmental stuttering during childhood. Here we present a diffusion tensor imaging study that examined white matter measures reflecting neuroanatomical connectivity (fractional anisotropy) in 77 children [40 controls (20 females), 37 who stutter (16 females)] between 3 and 10 years of age. We asked whether previously reported anomalous white matter measures in adults and older children who stutter that were found primarily in major left hemisphere tracts (e.g. superior longitudinal fasciculus) are also present in younger children who stutter. All children exhibited normal speech, language, and cognitive development as assessed through a battery of assessments. The two groups were matched in chronological age and socioeconomic status. Voxel-wise whole brain comparisons using tract-based spatial statistics and region of interest analyses of fractional anisotropy were conducted to examine white matter changes associated with stuttering status, age, sex, and stuttering severity. Children who stutter exhibited significantly reduced fractional anisotropy relative to controls in white matter tracts that interconnect auditory and motor structures, corpus callosum, and in tracts interconnecting cortical and subcortical areas. In contrast to control subjects, fractional anisotropy changes with age were either stagnant or showed dissociated development among major perisylvian brain areas in children who stutter. These results provide first glimpses into the neuroanatomical bases of early childhood stuttering, and possible white matter developmental changes that may lead to recovery versus persistent stuttering. The white matter changes point to possible structural connectivity deficits in children who stutter, in interrelated neural circuits that enable skilled movement control through efficient sensorimotor integration and timing of movements.
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Affiliation(s)
- Soo-Eun Chang
- 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - David C Zhu
- 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ai Leen Choo
- 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mike Angstadt
- 1 Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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30
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Usler E, Weber-Fox C. Neurodevelopment for syntactic processing distinguishes childhood stuttering recovery versus persistence. J Neurodev Disord 2015; 7:4. [PMID: 25657823 PMCID: PMC4318174 DOI: 10.1186/1866-1955-7-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 12/26/2014] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Characterized by the presence of involuntary speech disfluencies, developmental stuttering is a neurodevelopmental disorder of atypical speech-motor coordination. Although the etiology of stuttering is multifactorial, language development during early childhood may influence both the onset of the disorder and the likelihood of recovery. The purpose of this study was to determine whether differences in neural indices mediating language processing are associated with persistence or recovery in school-age children who stutter. METHODS Event-related brain potentials (ERPs) were obtained from 31 6-7-year-olds, including nine children who do not stutter (CWNS), 11 children who had recovered from stuttering (CWS-Rec), and 11 children who persisted in stuttering (CWS-Per), matched for age, and all with similar socioeconomic status, nonverbal intelligence, and language ability. We examined ERPs elicited by semantic and syntactic (phrase structure) violations within an auditory narrative consisting of English and Jabberwocky sentences. In Jabberwocky sentences, content words were replaced with pseudowords to limit semantic context. A mixed effects repeated measures analysis of variance (ANOVA) was computed for ERP components with four within-subject factors, including condition, hemisphere, anterior/posterior distribution, and laterality. RESULTS During the comprehension of English sentences, ERP activity mediating semantic and syntactic (phrase structure) processing did not distinguish CWS-Per, CWS-Rec, and CWNS. Semantic violations elicited a qualitatively similar N400 component across groups. Phrase structure violations within English sentences also elicited a similar P600 component in all groups. However, identical phrase structure violations within Jabberwocky sentences elicited a P600 in CWNS and CWS-Rec, but an N400-like effect in CWS-Per. CONCLUSIONS The distinguishing neural patterns mediating syntactic, but not semantic, processing provide evidence that specific brain functions for some aspects of language processing may be associated with stuttering persistence. Unlike CWS-Rec and CWNS, the lack of semantic context in Jabberwocky sentences seemed to affect the syntactic processing strategies of CWS-Per, resulting in the elicitation of semantically based N400-like activity during syntactic (phrase structure) violations. This vulnerability suggests neural mechanisms associated with the processing of syntactic structure may be less mature in 6-7-year-old children whose stuttering persisted compared to their fluent or recovered peers.
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Affiliation(s)
- Evan Usler
- Department of Speech, Language, and Hearing Sciences, Purdue University, Lyles-Porter Hall, 715 Clinic Drive, West Lafayette, IN 47907 USA
| | - Christine Weber-Fox
- Department of Speech, Language, and Hearing Sciences, Purdue University, Lyles-Porter Hall, 715 Clinic Drive, West Lafayette, IN 47907 USA
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31
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Stuttering candidate genes DRD2 but not SLC6A3 is associated with developmental dyslexia in Chinese population. Behav Brain Funct 2014; 10:29. [PMID: 25178928 PMCID: PMC4236612 DOI: 10.1186/1744-9081-10-29] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 08/26/2014] [Indexed: 12/31/2022] Open
Abstract
Background Dyslexia is a polygenic developmental disorder characterized by difficulties in reading and spelling despite normal intelligence, educational backgrounds and perception. Increasing evidences indicated that dyslexia may share similar genetic mechanisms with other speech and language disorders. We proposed that stuttering candidate genes, DRD2 and SLC6A3, might be associated with dyslexia. Methods and results The study was conducted in an unrelated Chinese cohort with 502 dyslexic cases and 522 healthy controls. In total, 23 Tag SNPs covering the two genes were selected for genotyping through Tagger program. Association analysis was performed on each SNP alone and in haplotypes. One SNP markers in DRD2 showed significant association with developmental dyslexia. Conclusion These findings indicate that polymorphism of DRD2 gene may be a risk factor of developmental dyslexia in the Chinese population.
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32
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Etchell AC, Johnson BW, Sowman PF. Behavioral and multimodal neuroimaging evidence for a deficit in brain timing networks in stuttering: a hypothesis and theory. Front Hum Neurosci 2014; 8:467. [PMID: 25009487 PMCID: PMC4070061 DOI: 10.3389/fnhum.2014.00467] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 06/08/2014] [Indexed: 12/17/2022] Open
Abstract
The fluent production of speech requires accurately timed movements. In this article, we propose that a deficit in brain timing networks is one of the core neurophysiological deficits in stuttering. We first discuss the experimental evidence supporting the involvement of the basal ganglia and supplementary motor area (SMA) in stuttering and the involvement of the cerebellum as a possible mechanism for compensating for the neural deficits that underlie stuttering. Next, we outline the involvement of the right inferior frontal gyrus (IFG) as another putative compensatory locus in stuttering and suggest a role for this structure in an expanded core timing-network. Subsequently, we review behavioral studies of timing in people who stutter and examine their behavioral performance as compared to people who do not stutter. Finally, we highlight challenges to existing research and provide avenues for future research with specific hypotheses.
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Affiliation(s)
- Andrew C Etchell
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia ; Department of Cognitive Science, Perception in Action Research Centre, Macquarie University Sydney, NSW, Australia
| | - Blake W Johnson
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia
| | - Paul F Sowman
- Department of Cognitive Science, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University Sydney, NSW, Australia ; Department of Cognitive Science, Perception in Action Research Centre, Macquarie University Sydney, NSW, Australia
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