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Chen G, Ishikuro M, Ohseto H, Murakami K, Noda A, Shinoda G, Orui M, Obara T, Kuriyama S. Hypertensive disorders of pregnancy, neonatal outcomes and offspring developmental delay in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Acta Obstet Gynecol Scand 2024; 103:1192-1200. [PMID: 38454539 PMCID: PMC11103128 DOI: 10.1111/aogs.14820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
INTRODUCTION Developmental delay at an early age indicates the probability of continued problems after school age. Hypertensive disorders of pregnancy (HDP) are associated with developmental delays in offspring, with inconsistent outcomes. Neonatal outcomes vary according to HDP exposure and are relevant to development in later years. Here we aimed to clarify the relationship between HDP and developmental delay in offspring and whether neonatal outcomes mediate this association. MATERIAL AND METHODS We used data from 5934 mother-child pairs from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a prospective cohort study conducted in Japan between July 2013 and March 2017. The Ages and Stages Questionnaires, third edition, at 24 and 42 months of age, measured developmental delay in five areas. We performed multivariate quasi-Poisson regression and causal mediation analysis by neonatal outcomes. RESULTS At 24 months of age, compared to offspring born from normotensive mothers, offspring born from HDP-affected mothers were more likely to experience developmental delay (risk ratio [RR] 1.29, 95% confidence interval [CI]: 1.09-1.52) in the areas of communication (RR 1.21, 95% CI: 1.00-1.45) and personal-social (RR 1.15, 95% CI: 1.03-1.28). This association was mediated by neonatal outcomes: preterm birth, neonatal asphyxia, NICU admission, and neonatal small head circumference. No association was observed between HDP and developmental delay at 42 months of age. CONCLUSIONS Exposure to HDP during fetal life is associated with offspring developmental delay. This association is partly mediated by neonatal outcomes.
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Affiliation(s)
- Geng Chen
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Mami Ishikuro
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Hisashi Ohseto
- Tohoku University Graduate School of MedicineSendaiJapan
| | - Keiko Murakami
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Aoi Noda
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- Tohoku University HospitalSendaiJapan
| | - Genki Shinoda
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Masatsugu Orui
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
| | - Taku Obara
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- Tohoku University HospitalSendaiJapan
| | - Shinichi Kuriyama
- Tohoku University Graduate School of MedicineSendaiJapan
- Tohoku Medical Megabank Organization, Tohoku UniversitySendaiJapan
- International Research Institute of Disaster Science, Tohoku UniversitySendaiJapan
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Cai H, Dong J, Mei L, Feng G, Li L, Wang G, Yan H. Functional and structural abnormalities of the speech disorders: a multimodal activation likelihood estimation meta-analysis. Cereb Cortex 2024; 34:bhae075. [PMID: 38466117 DOI: 10.1093/cercor/bhae075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 03/12/2024] Open
Abstract
Speech disorders are associated with different degrees of functional and structural abnormalities. However, the abnormalities associated with specific disorders, and the common abnormalities shown by all disorders, remain unclear. Herein, a meta-analysis was conducted to integrate the results of 70 studies that compared 1843 speech disorder patients (dysarthria, dysphonia, stuttering, and aphasia) to 1950 healthy controls in terms of brain activity, functional connectivity, gray matter, and white matter fractional anisotropy. The analysis revealed that compared to controls, the dysarthria group showed higher activity in the left superior temporal gyrus and lower activity in the left postcentral gyrus. The dysphonia group had higher activity in the right precentral and postcentral gyrus. The stuttering group had higher activity in the right inferior frontal gyrus and lower activity in the left inferior frontal gyrus. The aphasia group showed lower activity in the bilateral anterior cingulate gyrus and left superior frontal gyrus. Across the four disorders, there were concurrent lower activity, gray matter, and fractional anisotropy in motor and auditory cortices, and stronger connectivity between the default mode network and frontoparietal network. These findings enhance our understanding of the neural basis of speech disorders, potentially aiding clinical diagnosis and intervention.
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Affiliation(s)
- Hao Cai
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 710128, China
| | - Jie Dong
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 710128, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University); School of Psychology; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China
| | - Genyi Feng
- Imaging Department, Xi'an GEM Flower Changqing Hospital, Xi'an 710201, China
| | - Lili Li
- Speech Language Therapy Department, Shaanxi Provincial Rehabilitation Hospital, Xi'an 710065, China
| | - Gang Wang
- Imaging Department, Xi'an GEM Flower Changqing Hospital, Xi'an 710201, China
| | - Hao Yan
- Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 710128, China
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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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Papadatou-Pastou M, Papadopoulou AK, Samsouris C, Mundorf A, Valtou MM, Ocklenburg S. Hand Preference in Stuttering: Meta-Analyses. Neuropsychol Rev 2023:10.1007/s11065-023-09617-z. [PMID: 37796428 DOI: 10.1007/s11065-023-09617-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 08/24/2023] [Indexed: 10/06/2023]
Abstract
Reduced hemispheric asymmetries, as well as their behavioral manifestation in the form of atypical handedness (i.e., non-right, left-, or mixed-handedness), are linked to neurodevelopmental disorders, such as autism spectrum disorder, and several psychiatric disorders, such as schizophrenia. One neurodevelopmental disorder that is associated with reduced hemispheric asymmetries, but for which findings on behavioral laterality are conflicting, is stuttering. Here, we report a series of meta-analyses of studies that report handedness (assessed as hand preference) levels in individuals who stutter (otherwise healthy) compared to controls. For this purpose, articles were identified via a search in PubMed, Scopus, and PsycInfo (13 June 2023). On the basis of k = 52 identified studies totaling n = 2590 individuals who stutter and n = 17,148 controls, five random effects meta-analyses were conducted: four using the odds ratio [left-handers (forced choice); left-handers (extreme); mixed-handers; non-right-handers vs. total)] and one using the standardized difference in means as the effect size. We did not find evidence of a left (extreme)- or mixed-handedness difference or a difference in mean handedness scores, but evidence did emerge, when it came to left-handedness (forced-choice) and (inconclusively for) non-right-handedness. Risk-of-bias analysis was not deemed necessary in the context of these meta-analyses. Differences in hand skill or strength of handedness could not be assessed as no pertinent studies were located. Severity of stuttering could not be used s a moderator, as too few studies broke down their data according to severity. Our findings do not allow for firm conclusions to be drawn on whether stuttering is associated with reduced hemispheric asymmetries, at least when it comes to their behavioral manifestation.
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Affiliation(s)
- Marietta Papadatou-Pastou
- National and Kapodistrian University of Athens, Athens, Greece.
- Biomedical Research Foundation, Academy of Athens, Athens, Greece.
| | | | - Christos Samsouris
- National and Kapodistrian University of Athens, Athens, Greece
- Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Annakarina Mundorf
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | | | - Sebastian Ocklenburg
- Department of Psychology, Medical School Hamburg, Hamburg, Germany
- ICAN Institute for Cognitive and Affective Neuroscience, Medical School Hamburg, Hamburg, Germany
- Institute of Cognitive Neuroscience, Biopsychology, Department of Psychology, Ruhr-University Bochum, Bochum, Germany
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5
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Neef NE, Angstadt M, Koenraads SPC, Chang SE. Dissecting structural connectivity of the left and right inferior frontal cortex in children who stutter. Cereb Cortex 2023; 33:4085-4100. [PMID: 36057839 PMCID: PMC10068293 DOI: 10.1093/cercor/bhac328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 11/12/2022] Open
Abstract
Inferior frontal cortex pars opercularis (IFCop) features a distinct cerebral dominance and vast functional heterogeneity. Left and right IFCop are implicated in developmental stuttering. Weak left IFCop connections and divergent connectivity of hyperactive right IFCop regions have been related to impeded speech. Here, we reanalyzed diffusion magnetic resonance imaging data from 83 children (41 stuttering). We generated connection probability maps of functionally segregated area 44 parcels and calculated hemisphere-wise analyses of variance. Children who stutter showed reduced connectivity of executive, rostral-motor, and caudal-motor corticostriatal projections from the left IFCop. We discuss this finding in the context of tracing studies from the macaque area 44, which leads to the need to reconsider current models of speech motor control. Unlike the left, the right IFCop revealed increased connectivity of the inferior posterior ventral parcel and decreased connectivity of the posterior dorsal parcel with the anterior insula, particularly in stuttering boys. This divergent connectivity pattern in young children adds to the debate on potential core deficits in stuttering and challenges the theory that right hemisphere differences might exclusively indicate compensatory changes that evolve from lifelong exposure. Instead, early right prefrontal connectivity differences may reflect additional brain signatures of aberrant cognition-emotion-action influencing speech motor control.
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Affiliation(s)
- Nicole E Neef
- Institute for Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
| | - Simone P C Koenraads
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, Wytemaweg 80, 3015 CNRotterdam, the Netherlands
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48105, USA
- Department of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Road, East Lansing, MI 48824, USA
- Cognitive Imaging Research Center, Department of Radiology, Michigan State University, 846 Service Road, East Lansing, MI 48824, USA
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6
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Höbler F, Bitan T, Tremblay L, De Nil L. Explicit benefits: Motor sequence acquisition and short-term retention in adults who do and do not stutter. JOURNAL OF FLUENCY DISORDERS 2023; 75:105959. [PMID: 36736073 DOI: 10.1016/j.jfludis.2023.105959] [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: 05/05/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Motor sequencing skills have been found to distinguish individuals who experience developmental stuttering from those who do not stutter, with these differences extending to non-verbal sequencing behaviour. Previous research has focused on measures of reaction time and practice under externally cued conditions to decipher the motor learning abilities of persons who stutter. Without the confounds of extraneous demands and sensorimotor processing, we investigated motor sequence learning under conditions of explicit awareness and focused practice among adults with persistent development stuttering. Across two consecutive practice sessions, 18 adults who stutter (AWS) and 18 adults who do not stutter (ANS) performed the finger-to-thumb opposition sequencing (FOS) task. Both groups demonstrated significant within-session performance improvements, as evidenced by fast on-line learning of finger sequences on day one. Additionally, neither participant group showed deterioration of their learning gains the following day, indicating a relative stabilization of finger sequencing performance during the off-line period. These findings suggest that under explicit and focused conditions, early motor learning gains and their short-term retention do not differ between AWS and ANS. Additional factors influencing motor sequencing performance, such as task complexity and saturation of learning, are also considered. Further research into explicit motor learning and its generalization following extended practice and follow-up in persons who stutter is warranted. The potential benefits of motor practice generalizability among individuals who stutter and its relevance to supporting treatment outcomes are suggested as future areas of investigation.
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Affiliation(s)
- Fiona Höbler
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada.
| | - Tali Bitan
- Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Psychology and IIPDM, University of Haifa, Haifa 3498838, Israel
| | - Luc Tremblay
- Faculty of Kinesiology and Physical Education, University of Toronto, Clara Benson Building, 320 Huron St., Room 231, Toronto, ON M5S 3J7, Canada; KITE Research Institute, Toronto Rehabilitation Institute - University Health Network, 550 University Avenue, Toronto, ON M5G 2A2, Canada
| | - Luc De Nil
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada; Department of Speech-Language Pathology, Temerty Faculty of Medicine, University of Toronto, Rehabilitation Sciences Building, 500 University Avenue, Suite 160, Toronto, ON M5G 1V7, Canada
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7
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Furlanis G, Busan P, Formaggio E, Menichelli A, Lunardelli A, Ajcevic M, Pesavento V, Manganotti P. Stuttering-Like Dysfluencies as a Consequence of Long COVID-19. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:415-430. [PMID: 36749838 DOI: 10.1044/2022_jslhr-22-00381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
PURPOSE We present two patients who developed neurogenic stuttering after long COVID-19 related to SARS-CoV-2 infection. METHODS AND RESULTS Both patients experienced both physical (e.g., fatigue) and cognitive difficulties, which led to impaired function of attention, lexical retrieval, and memory consolidation. Both patients had new-onset stuttering-like speech dysfluencies: Blocks and repetitions were especially evident at the initial part of words and sentences, sometimes accompanied by effortful and associated movements (e.g., facial grimaces and oro-facial movements). Neuropsychological evaluations confirmed the presence of difficulties in cognitive tasks, while neurophysiological evaluations (i.e., electroencephalography) suggested the presence of "slowed" patterns of brain activity. Neurogenic stuttering and cognitive difficulties were evident for 4-5 months after negativization of SARS-CoV-2 nasopharyngeal swab, with gradual improvement and near-to-complete recovery. CONCLUSIONS It is now evident that SARS-CoV-2 infection may significantly involve the central nervous system, also resulting in severe and long-term consequences, even if the precise mechanisms are still unknown. In the present report, long COVID-19 resulted in neurogenic stuttering, as the likely consequence of a "slowed" metabolism of (pre)frontal and sensorimotor brain regions (as suggested by the present and previous clinical evidence). As a consequence, the pathophysiological mechanisms related to the appearance of neurogenic stuttering have been hypothesized, which help to better understand the broader and possible neurological consequences of COVID-19.
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Affiliation(s)
- Giovanni Furlanis
- Clinical Unit of Neurology, University Hospital and Health Services of Trieste, ASUGI, Italy
- Department of Medicine, Surgical and Health Sciences, University of Trieste, Italy
| | | | - Emanuela Formaggio
- Department of Neuroscience, Section of Rehabilitation, University of Padua, Italy
| | - Alina Menichelli
- Neuropsychological Service, Clinical Unit of Rehabilitation, University Hospital and Health Services of Trieste, ASUGI, Italy
| | - Alberta Lunardelli
- Neuropsychological Service, Clinical Unit of Rehabilitation, University Hospital and Health Services of Trieste, ASUGI, Italy
| | - Milos Ajcevic
- Department of Engineering and Architecture, University of Trieste, Italy
| | - Valentina Pesavento
- Neuropsychological Service, Clinical Unit of Rehabilitation, University Hospital and Health Services of Trieste, ASUGI, Italy
| | - Paolo Manganotti
- Clinical Unit of Neurology, University Hospital and Health Services of Trieste, ASUGI, Italy
- Department of Medicine, Surgical and Health Sciences, University of Trieste, Italy
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Papadopoulou S, Pavlidou E, Argyris G, Flouda T, Koukoutsidi P, Krikonis K, Shah S, Chirosca-Vasileiou D, Boussios S. Epilepsy and Diagnostic Dilemmas: The Role of Language and Speech-Related Seizures. J Pers Med 2022; 12:jpm12040647. [PMID: 35455763 PMCID: PMC9025095 DOI: 10.3390/jpm12040647] [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: 03/01/2022] [Revised: 04/12/2022] [Accepted: 04/13/2022] [Indexed: 12/04/2022] Open
Abstract
Although the impact of epilepsy on expressive language is heavily discussed, researched, and scientifically grounded, a limited volume of research points in the opposite direction. What about the causal relationship between disorder-related language activities and epileptic seizures? What are the possible diagnostic dilemmas that experts in the field of speech-language pathology, neurology, and related fields face? How far has research gone in investigating psychogenic nonepileptic seizures, the misdiagnosis of which can be a thorny issue for clinicians and a detrimental factor for the patients’ health? In order to address these questions, the study at hand focuses on a common, ever-intensified (by the COVID-19 pandemic) speech disorder—stuttering, and explores the pathophysiological and psychogenic background of the phenomenon. It also looks at the role of stuttering as a contributing factor to the appearance of epileptic seizures, in the hope of drawing attention to the complexity and importance of precise detection of stuttering-induced epilepsy, as a specific subcategory of language-induced epilepsy.
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Affiliation(s)
- Soultana Papadopoulou
- Department of Speech and Language Therapy, University Hospital of Ioannina, 45111 Ioannina, Greece; (S.P.); (E.P.)
| | - Efterpi Pavlidou
- Department of Speech and Language Therapy, University Hospital of Ioannina, 45111 Ioannina, Greece; (S.P.); (E.P.)
| | | | | | - Panagiota Koukoutsidi
- School of Medicine, Biomedical Engineering, University of Patras, 26331 Patras, Greece;
| | | | - Sidrah Shah
- Department of Palliative Care, Guy’s and St Thomas’ Hospital, Great Maze Pond, London SE1 9RT, UK;
| | - Dana Chirosca-Vasileiou
- Department of Neurology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK;
| | - Stergios Boussios
- Department of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK
- Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London SE1 9RT, UK
- AELIA Organization, 9th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece
- Correspondence:
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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: 2] [Impact Index Per Article: 0.7] [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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Shojaeilangari S, Radman N, Taghizadeh ME, Soltanian-Zadeh H. rsfMRI based evidence for functional connectivity alterations in adults with developmental stuttering. Heliyon 2021; 7:e07855. [PMID: 34504967 PMCID: PMC8414185 DOI: 10.1016/j.heliyon.2021.e07855] [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: 04/13/2021] [Revised: 05/28/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022] Open
Abstract
Persistent developmental stuttering (PDS) is defined as a speech disorder mainly characterized by intermittent involuntary disruption in normal fluency, time patterning, and rhythm of speech. Although extensive functional neuroimaging studies have explored brain activation alterations in stuttering, the main affected brain regions/networks in PDS still remain unclear. Here, using functional magnetic resonance imaging (fMRI), we investigated resting-state whole-brain functional connectivity of 15 adults who stutter (PDS group) and 15 age-matched control individuals to reveal the connectivity abnormalities associated with stuttering. We were also interested in exploring how the severity of stuttering varies across individuals to understand the compensatory mechanism of connectivity pattern in patients showing less symptoms. Our results revealed decreased connectivity of left frontal pole and left middle frontal gyrus (MidFG) with right precentral/postcentral gyrus in stuttering individuals compared with control participants, while less symptomatic PDS individuals showed greater functional connectivity between left MidFG and left caudate. Additionally, our finding indicated reduced connectivity in the PDS group between the left superior temporal gyrus (STG) and several brain regions including the right limbic lobe, right fusiform, and right cerebellum, as well as the left middle temporal gyrus (MTG). We also observed that PDS individuals with less severe symptoms had stronger connectivity between right MTG and several left hemispheric regions including inferior frontal gyrus (IFG) and STG. The connectivity between right fronto-orbital and right MTG was also negatively correlated with stuttering severity. These findings may suggest the involvement of right MTG and left MidFG in successful compensatory mechanisms in more fluent stutterers.
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Affiliation(s)
- Seyedehsamaneh Shojaeilangari
- School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 1954851167, Tehran, Iran
| | - Narges Radman
- School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 1954851167, Tehran, Iran
- Department of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Hamid Soltanian-Zadeh
- School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 1954851167, Tehran, Iran
- CIPCE, School of Electrical and Computer Engineering, College of Engineering, Tehran University, Tehran, Iran
- Departments of Radiology and Research Administration, Henry Ford Health System, Detroit, Michigan, USA
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11
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Alm PA. Stuttering: A Disorder of Energy Supply to Neurons? Front Hum Neurosci 2021; 15:662204. [PMID: 34630054 PMCID: PMC8496059 DOI: 10.3389/fnhum.2021.662204] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/10/2021] [Indexed: 11/30/2022] Open
Abstract
Stuttering is a disorder characterized by intermittent loss of volitional control of speech movements. This hypothesis and theory article focuses on the proposal that stuttering may be related to an impairment of the energy supply to neurons. Findings from electroencephalography (EEG), brain imaging, genetics, and biochemistry are reviewed: (1) Analyses of the EEG spectra at rest have repeatedly reported reduced power in the beta band, which is compatible with indications of reduced metabolism. (2) Studies of the absolute level of regional cerebral blood flow (rCBF) show conflicting findings, with two studies reporting reduced rCBF in the frontal lobe, and two studies, based on a different method, reporting no group differences. This contradiction has not yet been resolved. (3) The pattern of reduction in the studies reporting reduced rCBF corresponds to the regional pattern of the glycolytic index (GI; Vaishnavi et al., 2010). High regional GI indicates high reliance on non-oxidative metabolism, i.e., glycolysis. (4) Variants of the gene ARNT2 have been associated with stuttering. This gene is primarily expressed in the brain, with a pattern roughly corresponding to the pattern of regional GI. A central function of the ARNT2 protein is to act as one part of a sensor system indicating low levels of oxygen in brain tissue and to activate appropriate responses, including activation of glycolysis. (5) It has been established that genes related to the functions of the lysosomes are implicated in some cases of stuttering. It is possible that these gene variants result in a reduced peak rate of energy supply to neurons. (6) Lastly, there are indications of interactions between the metabolic system and the dopamine system: for example, it is known that acute hypoxia results in an elevated tonic level of dopamine in the synapses. Will mild chronic limitations of energy supply also result in elevated levels of dopamine? The indications of such interaction effects suggest that the metabolic theory of stuttering should be explored in parallel with the exploration of the dopaminergic theory.
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Affiliation(s)
- Per A. Alm
- Department of Neuroscience, Uppsala University, Uppsala, Sweden
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12
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Busan P, Moret B, Masina F, Del Ben G, Campana G. Speech Fluency Improvement in Developmental Stuttering Using Non-invasive Brain Stimulation: Insights From Available Evidence. Front Hum Neurosci 2021; 15:662016. [PMID: 34456692 PMCID: PMC8386014 DOI: 10.3389/fnhum.2021.662016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 07/12/2021] [Indexed: 11/21/2022] Open
Abstract
Developmental stuttering (DS) is a disturbance of the normal rhythm of speech that may be interpreted as very debilitating in the most affected cases. Interventions for DS are historically based on the behavioral modifications of speech patterns (e.g., through speech therapy), which are useful to regain a better speech fluency. However, a great variability in intervention outcomes is normally observed, and no definitive evidence is currently available to resolve stuttering, especially in the case of its persistence in adulthood. In the last few decades, DS has been increasingly considered as a functional disturbance, affecting the correct programming of complex motor sequences such as speech. Compatibly, understanding of the neurophysiological bases of DS has dramatically improved, thanks to neuroimaging, and techniques able to interact with neural tissue functioning [e.g., non-invasive brain stimulation (NIBS)]. In this context, the dysfunctional activity of the cortico-basal-thalamo-cortical networks, as well as the defective patterns of connectivity, seems to play a key role, especially in sensorimotor networks. As a consequence, a direct action on the functionality of "defective" or "impaired" brain circuits may help people who stutter to manage dysfluencies in a better way. This may also "potentiate" available interventions, thus favoring more stable outcomes of speech fluency. Attempts aiming at modulating (and improving) brain functioning of people who stutter, realized by using NIBS, are quickly increasing. Here, we will review these recent advancements being applied to the treatment of DS. Insights will be useful not only to assess whether the speech fluency of people who stutter may be ameliorated by acting directly on brain functioning but also will provide further suggestions about the complex and dynamic pathophysiology of DS, where causal effects and "adaptive''/''maladaptive" compensation mechanisms may be strongly overlapped. In conclusion, this review focuses future research toward more specific, targeted, and effective interventions for DS, based on neuromodulation of brain functioning.
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Affiliation(s)
| | | | | | - Giovanni Del Ben
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Gianluca Campana
- Department of General Psychology, University of Padua, Padua, Italy
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13
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Boley N, Patil S, Garnett EO, Li H, Chugani DC, Chang SE, Chow HM. Association Between Gray Matter Volume Variations and Energy Utilization in the Brain: Implications for Developmental Stuttering. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2021; 64:2317-2324. [PMID: 33719533 PMCID: PMC8740693 DOI: 10.1044/2020_jslhr-20-00325] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/23/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
Purpose The biological mechanisms underlying developmental stuttering remain unclear. In a previous investigation, we showed that there is significant spatial correspondence between regional gray matter structural anomalies and the expression of genes linked to energy metabolism. In the current study, we sought to further examine the relationship between structural anomalies in the brain in children with persistent stuttering and brain regional energy metabolism. Method High-resolution structural MRI scans were acquired from 26 persistent stuttering and 44 typically developing children. Voxel-based morphometry was used to quantify the between-group gray matter volume (GMV) differences across the whole brain. Group differences in GMV were then compared with published values for the pattern of glucose metabolism measured via F18 fluorodeoxyglucose uptake in the brains of 29 healthy volunteers using positron emission tomography. Results A significant positive correlation between GMV differences and F18 fluorodeoxyglucose uptake was found in the left hemisphere (ρ = .36, p < .01), where speech-motor and language processing are typically localized. No such correlation was observed in the right hemisphere (ρ = .05, p = .70). Conclusions Corroborating our previous gene expression studies, the results of the current study suggest a potential connection between energy metabolism and stuttering. Brain regions with high energy utilization may be particularly vulnerable to anatomical changes associated with stuttering. Such changes may be further exacerbated when there are sharp increases in brain energy utilization, which coincides with the developmental period of rapid speech/language acquisition and the onset of stuttering during childhood. Supplemental Material https://doi.org/10.23641/asha.14110454.
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Affiliation(s)
- Nathaniel Boley
- The Institute for Biomedical Sciences, School of Medicine and Health Sciences, The George Washington University, Washington, DC
- Katzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE
| | - Sanath Patil
- Katzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE
- Premedical-Medical Program, Eberly College of Science, The Pennsylvania State University, University Park
| | - Emily O. Garnett
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor
| | - Hua Li
- Katzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE
| | - Diane C. Chugani
- Department of Communication Sciences and Disorders, College of Health Sciences, University of Delaware, Newark
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor
- Cognitive Imaging Research Center, Department of Radiology, College of Osteopathic Medicine, Michigan State University, East Lansing
- Department of Communicative Sciences and Disorders, College of Communication Arts and Sciences, Michigan State University, East Lansing
| | - Ho Ming Chow
- Katzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE
- Department of Communication Sciences and Disorders, College of Health Sciences, University of Delaware, Newark
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14
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Tsur AM, Hershkovich S, Zucker I, Lutski M, Pinhas-Hamiel O, Vivante A, Fischman M, Amir O, Rotchild J, Gerstein HC, Cukierman-Yaffe T, Friedensohn L, Mosenzon O, Derazne E, Tzur D, Tirosh A, Afek A, Raz I, Twig G. Stuttering and Incident Type 2 Diabetes: A Population-Based Study of 2.2 Million Adolescents. J Clin Endocrinol Metab 2021; 106:978-987. [PMID: 33449080 DOI: 10.1210/clinem/dgaa988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Indexed: 02/08/2023]
Abstract
PURPOSE To investigate the association between stuttering in adolescence and incident type 2 diabetes in young adulthood. METHODS This nationwide population-based study included 2 193 855 adolescents of age 16 to 20 years who were assessed for military service between 1980 and 2013. Diagnoses of stuttering in adolescence were confirmed by a speech-language pathologist. Diabetes status for each individual as of December 31, 2016, was determined by linkage to the Israeli National Diabetes Registry. Relationships were analyzed using regression models adjusted for socioeconomic variables, cognitive performance, coexisting morbidities, and adolescent body mass index. RESULTS Analysis was stratified by sex (Pinteraction = 0.035). Of the 4443 (0.4%) adolescent men with stuttering, 162 (3.7%) developed type 2 diabetes, compared with 25 678 (2.1%) men without stuttering (adjusted odds ratio [OR] 1.3; 95% CI, 1.1-1.6). This relationship persisted when unaffected brothers of men with stuttering were used as the reference group (adjusted OR = 1.5; 95% CI, 1.01-2.2), or when the analysis included only adolescents with unimpaired health at baseline (adjusted OR = 1.4; 95% CI, 1.1-1.7). The association was stronger in later birth cohorts, with an adjusted OR of 2.4 (1.4-4.1) for cases of type 2 diabetes before age 40. Of the 503 (0.1%) adolescent women with stuttering 7 (1.4%) developed type 2 diabetes, compared with 10 139 (1.1%) women without stuttering (OR = 2.03; 95% CI, 0.48-2.20). CONCLUSIONS Adolescent stuttering is associated with an increased risk for early-onset type 2 diabetes among men.
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Affiliation(s)
- Avishai M Tsur
- The Israel Defense Forces Medical Corps, Ramat Gan, Israel
- Department of Military Medicine, Hebrew University of Jerusalem Faculty of Medicine, Jerusalem, Israel
- Department of Medicine "B," Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Inbar Zucker
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Israel Center for Disease Control, Ministry of Health, Ramat Gan, Israel
| | - Miri Lutski
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Israel Center for Disease Control, Ministry of Health, Ramat Gan, Israel
| | - Orit Pinhas-Hamiel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, 5266202, Israel
| | - Asaf Vivante
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maya Fischman
- Department of Military Medicine, Hebrew University of Jerusalem Faculty of Medicine, Jerusalem, Israel
| | - Ofer Amir
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jacob Rotchild
- The Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | | | - Tali Cukierman-Yaffe
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Limor Friedensohn
- The Israel Defense Forces Medical Corps, Ramat Gan, Israel
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Ofri Mosenzon
- The Diabetes Unit, Department of Internal Medicine, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Estela Derazne
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Dorit Tzur
- The Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Amir Tirosh
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Arnon Afek
- Central Management, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Itamar Raz
- The Diabetes Unit, Department of Internal Medicine, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Gilad Twig
- The Israel Defense Forces Medical Corps, Ramat Gan, Israel
- Department of Military Medicine, Hebrew University of Jerusalem Faculty of Medicine, Jerusalem, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
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15
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Bansal R, Peterson BS. Use of random matrix theory in the discovery of resting state brain networks. Magn Reson Imaging 2020; 77:69-87. [PMID: 33326838 DOI: 10.1016/j.mri.2020.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 12/01/2020] [Accepted: 12/06/2020] [Indexed: 11/30/2022]
Abstract
Connectomics identifies brain networks in vivo in resting state functional MRI. However, the presence of noise produces spurious identification of brain networks, which have low test-retest reliability. A Network Based Statistics approach to network identification has been previously proposed that affords much better statistical power relative to Bonferroni method but nevertheless provides a sufficiently conservative, family-wise control for false positives. We propose the use of Random Matrix Theory (RMT) to discover brain networks and to associate those networks with demographic and clinical variables. We parcellated the brain into cortical and subcortical regions using either an anatomical or a functional brain atlas. We applied RMT to study functional connectivity across brain regions by first computing the correlation matrix for time courses in those brain regions and then identifying eigenvalues that deviate from the theoretical random distribution that RMT predicts, on the assumption that real brain networks would produce eigenvalues that differ significantly from the random distribution. We assessed the specificity and test-retest reliability of identified networks through application of this RMT-based approach to (1) synthetic data generated under the null-hypothesis, (2) resting state functional MRI data from 4 real-world cohorts of patients and healthy controls, and (3) synthetic data generated by the addition of increasing amounts of noise to real-world datasets. Our findings showed that RMT method was robust to the atlas used for parcellating the brain and did not discover a brain network in synthetic data when in fact a network was not present (i.e., specificity was high); RMT-identified networks in the real-world dataset had high test-retest reliability; and RMT-based method consistently discovered the same network in the presence of increasing noise in the real-world dataset.
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Affiliation(s)
- Ravi Bansal
- Institute for the Developing Mind, Children's Hospital Los Angeles, CA 90027, USA; Department of Pediatrics, Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033, USA.
| | - Bradley S Peterson
- Institute for the Developing Mind, Children's Hospital Los Angeles, CA 90027, USA; Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033, USA
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16
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Busan P, Del Ben G, Tantone A, Halaj L, Bernardini S, Natarelli G, Manganotti P, Battaglini PP. Effect of muscular activation on surrounding motor networks in developmental stuttering: A TMS study. BRAIN AND LANGUAGE 2020; 205:104774. [PMID: 32135384 DOI: 10.1016/j.bandl.2020.104774] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 01/05/2020] [Accepted: 02/17/2020] [Indexed: 06/10/2023]
Abstract
Previous studies regarding developmental stuttering (DS) suggest that motor neural networks are strongly affected. Transcranial magnetic stimulation (TMS) was used to investigate neural activation of the primary motor cortex in DS during movement execution, and the influence of muscle representations involved in movements on "surrounding" ones. TMS was applied over the contralateral abductor digiti minimi (ADM) motor representation, at rest and during the movement of homologue first dorsal interosseous muscles (tonic contraction, phasic movements cued by acoustic signalling, and "self-paced" movements). Results highlighted a lower cortico-spinal excitability of ADM in the left hemisphere of stutterers, and an enhanced intracortical inhibition in their right motor cortex (in comparison to fluent speakers). Abnormal intracortical functioning was especially evident during phasic contractions cued by "external" acoustic signals. An exaggerated inhibition of muscles not directly involved in intended movements, in stuttering, may be useful to obtain more efficient motor control. This was stronger during contractions cued by "external" signals, highlighting mechanisms likely used by stutterers during fluency-evoking conditions.
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Affiliation(s)
- Pierpaolo Busan
- IRCCS Ospedale San Camillo, via Alberoni 70, 30126 Venice, Italy.
| | - Giovanni Del Ben
- Department of Life Sciences, University of Trieste, via Fleming 22, 34100 Trieste, Italy.
| | - Antonietta Tantone
- Department of Life Sciences, University of Trieste, via Fleming 22, 34100 Trieste, Italy
| | - Livia Halaj
- Department of Life Sciences, University of Trieste, via Fleming 22, 34100 Trieste, Italy
| | | | - Giulia Natarelli
- Department of Developmental and Social Psychology, University of Padua, via Venezia 8, 35100 Padua, Italy.
| | - Paolo Manganotti
- Department of Medical, Surgical and Health Sciences, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy.
| | - Piero Paolo Battaglini
- Department of Life Sciences, University of Trieste, via Fleming 22, 34100 Trieste, Italy.
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17
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Busan P. Developmental stuttering and the role of the supplementary motor cortex. JOURNAL OF FLUENCY DISORDERS 2020; 64:105763. [PMID: 32361030 DOI: 10.1016/j.jfludis.2020.105763] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 04/05/2020] [Accepted: 04/08/2020] [Indexed: 06/11/2023]
Abstract
Developmental stuttering is a frequent neurodevelopmental disorder with a complex neurobiological basis. Robust neural markers of stuttering include imbalanced activity of speech and motor related brain regions, and their impaired structural connectivity. The dynamic interaction of cortical regions is regulated by the cortico-basal ganglia-thalamo-cortical system with the supplementary motor area constituting a crucial cortical site. The SMA integrates information from different neural circuits, and manages information about motor programs such as self-initiated movements, motor sequences, and motor learning. Abnormal functioning of SMA is increasingly reported in stuttering, and has been recently indicated as an additional "neural marker" of DS: anatomical and functional data have documented abnormal structure and activity of the SMA, especially in motor and speech networks. Its connectivity is often impaired, especially when considering networks of the left hemisphere. Compatibly, recent data suggest that, in DS, SMA is part of a poorly synchronized neural network, thus resulting in a likely substrate for the appearance of DS symptoms. However, as evident when considering neural models of stuttering, the role of SMA has not been fully clarified. Herein, the available evidence is reviewed, which highlights the role of the SMA in DS as a neural "hub", receiving and conveying altered information, thus "gating" the release of correct or abnormal motor plans.
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18
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Garnett EO, Chow HM, Nieto-Castañón A, Tourville JA, Guenther FH, Chang SE. Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter. Brain 2019; 141:2670-2684. [PMID: 30084910 DOI: 10.1093/brain/awy199] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 06/04/2018] [Indexed: 02/06/2023] Open
Abstract
Stuttering is a neurodevelopmental disorder that affects the smooth flow of speech production. Stuttering onset occurs during a dynamic period of development when children first start learning to formulate sentences. Although most children grow out of stuttering naturally, ∼1% of all children develop persistent stuttering that can lead to significant psychosocial consequences throughout one's life. To date, few studies have examined neural bases of stuttering in children who stutter, and even fewer have examined the basis for natural recovery versus persistence of stuttering. Here we report the first study to conduct surface-based analysis of the brain morphometric measures in children who stutter. We used FreeSurfer to extract cortical size and shape measures from structural MRI scans collected from the initial year of a longitudinal study involving 70 children (36 stuttering, 34 controls) in the 3-10-year range. The stuttering group was further divided into two groups: persistent and recovered, based on their later longitudinal visits that allowed determination of their eventual clinical outcome. A region of interest analysis that focused on the left hemisphere speech network and a whole-brain exploratory analysis were conducted to examine group differences and group × age interaction effects. We found that the persistent group could be differentiated from the control and recovered groups by reduced cortical thickness in left motor and lateral premotor cortical regions. The recovered group showed an age-related decrease in local gyrification in the left medial premotor cortex (supplementary motor area and and pre-supplementary motor area). These results provide strong evidence of a primary deficit in the left hemisphere speech network, specifically involving lateral premotor cortex and primary motor cortex, in persistent developmental stuttering. Results further point to a possible compensatory mechanism involving left medial premotor cortex in those who recover from childhood stuttering.
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Affiliation(s)
- Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ho Ming Chow
- Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | | | - Jason A Tourville
- Department of Speech Language and Hearing Sciences, Boston University, Boston, MA, USA
| | - Frank H Guenther
- Department of Speech Language and Hearing Sciences, Boston University, Boston, MA, USA.,Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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19
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Busan P, Del Ben G, Russo LR, Bernardini S, Natarelli G, Arcara G, Manganotti P, Battaglini PP. Stuttering as a matter of delay in neural activation: A combined TMS/EEG study. Clin Neurophysiol 2019; 130:61-76. [DOI: 10.1016/j.clinph.2018.10.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 08/27/2018] [Accepted: 10/15/2018] [Indexed: 10/27/2022]
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20
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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: 8] [Impact Index Per Article: 1.3] [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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21
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Chang SE, Garnett EO, Etchell A, Chow HM. Functional and Neuroanatomical Bases of Developmental Stuttering: Current Insights. Neuroscientist 2018; 25:566-582. [PMID: 30264661 DOI: 10.1177/1073858418803594] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Affecting 5% of all preschool-aged children and 1% of the general population, developmental stuttering-also called childhood-onset fluency disorder-is a complex, multifactorial neurodevelopmental disorder characterized by frequent disruption of the fluent flow of speech. Over the past two decades, neuroimaging studies of both children and adults who stutter have begun to provide significant insights into the neurobiological bases of stuttering. This review highlights convergent findings from this body of literature with a focus on functional and structural neuroimaging results that are supported by theoretically driven neurocomputational models of speech production. Updated views on possible mechanisms of stuttering onset and persistence, and perspectives on promising areas for future research into the mechanisms of stuttering, are discussed.
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Affiliation(s)
- Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Andrew Etchell
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ho Ming Chow
- Nemours/Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
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22
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Bansal R, Peterson BS. Cluster-level statistical inference in fMRI datasets: The unexpected behavior of random fields in high dimensions. Magn Reson Imaging 2018; 49:101-115. [PMID: 29408478 PMCID: PMC5991838 DOI: 10.1016/j.mri.2018.01.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 01/22/2018] [Accepted: 01/27/2018] [Indexed: 02/02/2023]
Abstract
Identifying regional effects of interest in MRI datasets usually entails testing a priori hypotheses across many thousands of brain voxels, requiring control for false positive findings in these multiple hypotheses testing. Recent studies have suggested that parametric statistical methods may have incorrectly modeled functional MRI data, thereby leading to higher false positive rates than their nominal rates. Nonparametric methods for statistical inference when conducting multiple statistical tests, in contrast, are thought to produce false positives at the nominal rate, which has thus led to the suggestion that previously reported studies should reanalyze their fMRI data using nonparametric tools. To understand better why parametric methods may yield excessive false positives, we assessed their performance when applied both to simulated datasets of 1D, 2D, and 3D Gaussian Random Fields (GRFs) and to 710 real-world, resting-state fMRI datasets. We showed that both the simulated 2D and 3D GRFs and the real-world data contain a small percentage (<6%) of very large clusters (on average 60 times larger than the average cluster size), which were not present in 1D GRFs. These unexpectedly large clusters were deemed statistically significant using parametric methods, leading to empirical familywise error rates (FWERs) as high as 65%: the high empirical FWERs were not a consequence of parametric methods failing to model spatial smoothness accurately, but rather of these very large clusters that are inherently present in smooth, high-dimensional random fields. In fact, when discounting these very large clusters, the empirical FWER for parametric methods was 3.24%. Furthermore, even an empirical FWER of 65% would yield on average less than one of those very large clusters in each brain-wide analysis. Nonparametric methods, in contrast, estimated distributions from those large clusters, and therefore, by construct rejected the large clusters as false positives at the nominal FWERs. Those rejected clusters were outlying values in the distribution of cluster size but cannot be distinguished from true positive findings without further analyses, including assessing whether fMRI signal in those regions correlates with other clinical, behavioral, or cognitive measures. Rejecting the large clusters, however, significantly reduced the statistical power of nonparametric methods in detecting true findings compared with parametric methods, which would have detected most true findings that are essential for making valid biological inferences in MRI data. Parametric analyses, in contrast, detected most true findings while generating relatively few false positives: on average, less than one of those very large clusters would be deemed a true finding in each brain-wide analysis. We therefore recommend the continued use of parametric methods that model nonstationary smoothness for cluster-level, familywise control of false positives, particularly when using a Cluster Defining Threshold of 2.5 or higher, and subsequently assessing rigorously the biological plausibility of the findings, even for large clusters. Finally, because nonparametric methods yielded a large reduction in statistical power to detect true positive findings, we conclude that the modest reduction in false positive findings that nonparametric analyses afford does not warrant a re-analysis of previously published fMRI studies using nonparametric techniques.
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Affiliation(s)
- Ravi Bansal
- Institute for the Developing Mind, Children's Hospital Los Angeles, CA 90027, USA; Department of Pediatrics, Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033, USA.
| | - Bradley S Peterson
- Institute for the Developing Mind, Children's Hospital Los Angeles, CA 90027, USA; Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA 90033, USA
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23
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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: 73] [Impact Index Per Article: 12.2] [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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24
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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: 16] [Impact Index Per Article: 2.3] [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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Abstract
Stuttering affects nearly 1% of the population worldwide and often has life-altering negative consequences, including poorer mental health and emotional well-being, and reduced educational and employment achievements. Over two decades of neuroimaging research reveals clear anatomical and physiological differences in the speech neural networks of adults who stutter. However, there have been few neurophysiological investigations of speech production in children who stutter. Using functional near-infrared spectroscopy (fNIRS), we examined hemodynamic responses over neural regions integral to fluent speech production including inferior frontal gyrus, premotor cortex, and superior temporal gyrus during a picture description task. Thirty-two children (16 stuttering and 16 controls) aged 7–11 years participated in the study. We found distinctly different speech-related hemodynamic responses in the group of children who stutter compared to the control group. Whereas controls showed significant activation over left dorsal inferior frontal gyrus and left premotor cortex, children who stutter exhibited deactivation over these left hemisphere regions. This investigation of neural activation during natural, connected speech production in children who stutter demonstrates that in childhood stuttering, atypical functional organization for speech production is present and suggests promise for the use of fNIRS during natural speech production in future research with typical and atypical child populations.
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26
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Busan P, Battaglini P, Sommer M. Transcranial magnetic stimulation in developmental stuttering: Relations with previous neurophysiological research and future perspectives. Clin Neurophysiol 2017; 128:952-964. [DOI: 10.1016/j.clinph.2017.03.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Revised: 03/14/2017] [Accepted: 03/22/2017] [Indexed: 10/19/2022]
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27
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Chow HM, Chang SE. White matter developmental trajectories associated with persistence and recovery of childhood stuttering. Hum Brain Mapp 2017; 38:3345-3359. [PMID: 28390149 DOI: 10.1002/hbm.23590] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 03/08/2017] [Accepted: 03/20/2017] [Indexed: 12/16/2022] Open
Abstract
Stuttering affects the fundamental human ability of fluent speech production, and can have a significant negative impact on an individual's psychosocial development. While the disorder affects about 5% of all preschool children, approximately 80% of them recover naturally within a few years of stuttering onset. The pathophysiology and neuroanatomical development trajectories associated with persistence and recovery of stuttering are still largely unknown. Here, the first mixed longitudinal diffusion tensor imaging (DTI) study of childhood stuttering has been reported. A total of 195 high quality DTI scans from 35 children who stutter (CWS) and 43 controls between 3 and 12 years of age were acquired, with an average of three scans per child, each collected approximately a year apart. Fractional anisotropy (FA), a measure reflecting white matter structural coherence, was analyzed voxel-wise to examine group and age-related differences using a linear mixed-effects (LME) model. Results showed that CWS exhibited decreased FA relative to controls in the left arcuate fasciculus, underlying the inferior parietal and posterior temporal areas, and the mid body of corpus callosum. Further, white matter developmental trajectories reflecting growth rate of these tract regions differentiated children with persistent stuttering from those who recovered from stuttering. Specifically, a reduction in FA growth rate (i.e., slower FA growth with age) in persistent children relative to fluent controls in the left arcuate fasciculus and corpus callosum was found, which was not evident in recovered children. These findings provide first glimpses into the possible neural mechanisms of onset, persistence, and recovery of childhood stuttering. Hum Brain Mapp 38:3345-3359, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Ho Ming Chow
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
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