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Perkins SC, Shaun Ho S, Evans GW, Liberzon I, Gopang M, Swain JE. Language processing following childhood poverty: Evidence for disrupted neural networks. BRAIN AND LANGUAGE 2024; 252:105414. [PMID: 38640643 DOI: 10.1016/j.bandl.2024.105414] [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: 04/24/2023] [Revised: 01/31/2024] [Accepted: 04/10/2024] [Indexed: 04/21/2024]
Abstract
Childhood poverty is related to deficits in multiple cognitive domains including adult language function. It is unknown if the brain basis of language is disrupted in adults with childhood poverty backgrounds, controlling for current functioning. Fifty-one adults (age 24) from an existing longitudinal study of childhood poverty, beginning at age 9, were examined on behavioral phonological awareness (LP) and completed an event-related fMRI speech/print processing LP task. Adults from childhood poverty backgrounds exhibited lower LP in adulthood. The middle-income group exhibited greater activation of the bilateral IFG and hippocampus during language processing. In psychophysiological interaction (PPI) analyses, the childhood poverty group exhibited greater coupling between ventral Broca's and the middle temporal gyrus (MTG) as well as coupling between Wernicke's region and bilateralization. Childhood poverty disrupts language processing neural networks in adulthood, after controlling for LP, suggesting that poverty in childhood influences the neurophysiological basis for language processing into adulthood.
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Affiliation(s)
- Suzanne C Perkins
- Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, United States.
| | - S Shaun Ho
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794-8434, United States
| | - Gary W Evans
- Departments of Human Centered Design and Psychology, Cornell University, Ithaca, NY 14853-4401, United States
| | - Israel Liberzon
- Department of Psychiatry, Texas A&M University, Bryan, TX 77802, United States
| | - Meroona Gopang
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794-8434, United States; Program in Public Health, Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794-8434, United States
| | - James E Swain
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794-8434, United States; Psychology, Obstetrics, Gynecology & Reproductive Medicine, Program in Public Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794-8434, United States
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Hinkley LBN, Thompson M, Miller ZA, Borghesani V, Mizuiri D, Shwe W, Licata A, Ninomiya S, Lauricella M, Mandelli ML, Miller BL, Houde J, Gorno‐Tempini ML, Nagarajan SS. Distinct neurophysiology during nonword repetition in logopenic and non-fluent variants of primary progressive aphasia. Hum Brain Mapp 2023; 44:4833-4847. [PMID: 37516916 PMCID: PMC10472914 DOI: 10.1002/hbm.26408] [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: 12/20/2022] [Revised: 04/25/2023] [Accepted: 06/11/2023] [Indexed: 07/31/2023] Open
Abstract
Overlapping clinical presentations in primary progressive aphasia (PPA) variants present challenges for diagnosis and understanding pathophysiology, particularly in the early stages of the disease when behavioral (speech) symptoms are not clearly evident. Divergent atrophy patterns (temporoparietal degeneration in logopenic variant lvPPA, frontal degeneration in nonfluent variant nfvPPA) can partially account for differential speech production errors in the two groups in the later stages of the disease. While the existing dogma states that neurodegeneration is the root cause of compromised behavior and cortical activity in PPA, the extent to which neurophysiological signatures of speech dysfunction manifest independent of their divergent atrophy patterns remain unknown. We test the hypothesis that nonword deficits in lvPPA and nfvPPA arise from distinct patterns of neural oscillations that are unrelated to atrophy. We use a novel structure-function imaging approach integrating magnetoencephalographic imaging of neural oscillations during a non-word repetition task with voxel-based morphometry-derived measures of gray matter volume to isolate neural oscillation abnormalities independent of atrophy. We find reduced beta band neural activity in left temporal regions associated with the late stages of auditory encoding unique to patients with lvPPA and reduced high-gamma neural activity over left frontal regions associated with the early stages of motor preparation in patients with nfvPPA. Neither of these patterns of reduced cortical oscillations was explained by cortical atrophy in our statistical model. These findings highlight the importance of structure-function imaging in revealing neurophysiological sequelae in early stages of dementia when neither structural atrophy nor behavioral deficits are clinically distinct.
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Affiliation(s)
- Leighton B. N. Hinkley
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Megan Thompson
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Zachary A. Miller
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Danielle Mizuiri
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Wendy Shwe
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Abigail Licata
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Seigo Ninomiya
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Michael Lauricella
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Bruce L. Miller
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - John Houde
- Department of Otolaryngology – Head and Neck SurgeryUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Srikantan S. Nagarajan
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
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Berglund-Barraza A, Carey S, Hart J, Vanneste S, Evans JL. Modulating Phonological Working Memory With Anodal High-Definition Transcranial Direct Current Stimulation to the Anterior Portion of the Supplementary Motor Area. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:2079-2094. [PMID: 37227790 PMCID: PMC10465152 DOI: 10.1044/2023_jslhr-21-00098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/27/2021] [Accepted: 02/28/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Phonological working memory is key to vocabulary acquisition, spoken word recognition, real-time language processing, and reading. Transcranial direct current stimulation, when coupled with behavioral training, has been shown to facilitate speech motor output processes, a key component of nonword repetition, the primary task used to assess phonological working memory. In this study, we examined the efficacy of combining overt nonword repetition training with anodal high-definition transcranial direct current stimulation (HD tDCS) to the presupplementary motor area (preSMA) to enhance nonword repetition. OBJECTIVE This study investigated whether 20 min of active or sham anodal HD tDCS targeting preSMA concurrently with a nonword repetition task differentially impacted nonword repetition ability. METHOD Twenty-eight neurotypical college-age adults (18-25 years; 19 females, eight males, one nonbinary) completed a 20-min nonword repetition training task where they received either active or sham 1-mA anodal HD tDCS to the preSMA while overtly repeating a list of four-, five-, six-, and seven-syllable English-like nonwords presented in a random order. Whole nonword accuracy and error patterns (phoneme and syllable) were measured prior to and following training. RESULTS Following training, both groups showed a decrease in nonword repetition accuracy. The drop in performance was significantly greater for the active stimulation group compared to the sham stimulation group at the four-syllable nonword length. DISCUSSION The findings suggest that targeting the speech motor component of nonword repetition through overt training and HD tDCS to the preSMA does not enhance phonological working memory ability.
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Affiliation(s)
- Amy Berglund-Barraza
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
| | - Sarah Carey
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
| | - John Hart
- Cognitive Neuroscience Laboratory of Memory and Language, The University of Texas at Dallas
| | - Sven Vanneste
- Lab for Clinical & Integrative Neuroscience, Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Julia L. Evans
- Child Language and Cognitive Processes Laboratory, The University of Texas at Dallas
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O'Brien AM, Perrachione TK, Wisman Weil L, Sanchez Araujo Y, Halverson K, Harris A, Ostrovskaya I, Kjelgaard M, Kenneth Wexler, Tager-Flusberg H, Gabrieli JDE, Qi Z. Altered engagement of the speech motor network is associated with reduced phonological working memory in autism. Neuroimage Clin 2022; 37:103299. [PMID: 36584426 PMCID: PMC9830373 DOI: 10.1016/j.nicl.2022.103299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Nonword repetition, a common clinical measure of phonological working memory, involves component processes of speech perception, working memory, and speech production. Autistic children often show behavioral challenges in nonword repetition, as do many individuals with communication disorders. It is unknown which subprocesses of phonological working memory are vulnerable in autistic individuals, and whether the same brain processes underlie the transdiagnostic difficulty with nonword repetition. We used functional magnetic resonance imaging (fMRI) to investigate the brain bases for nonword repetition challenges in autism. We compared activation during nonword repetition in functional brain networks subserving speech perception, working memory, and speech production between neurotypical and autistic children. Autistic children performed worse than neurotypical children on nonword repetition and had reduced activation in response to increasing phonological working memory load in the supplementary motor area. Multivoxel pattern analysis within the speech production network classified shorter vs longer nonword-repetition trials less accurately for autistic than neurotypical children. These speech production motor-specific differences were not observed in a group of children with reading disability who had similarly reduced nonword repetition behavior. These findings suggest that atypical function in speech production brain regions may contribute to nonword repetition difficulties in autism.
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Affiliation(s)
- Amanda M O'Brien
- Program in Speech and Hearing Bioscience and Technology, Harvard University, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA.
| | - Tyler K Perrachione
- Department of Speech, Language, and Hearing Sciences, Boston University, USA
| | - Lisa Wisman Weil
- Department of Communication Sciences and Disorders, Emerson College, USA
| | | | - Kelly Halverson
- Department of Clinical Psychology, University of Houston, USA
| | - Adrianne Harris
- The Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, USA
| | | | - Margaret Kjelgaard
- Department of Communication Sciences and Disorders, Bridgewater State University, USA
| | - Kenneth Wexler
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA; Department of Linguistics and Philosophy, Massachusetts Institute of Technology, USA
| | | | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
| | - Zhenghan Qi
- Department of Communication Sciences and Disorders & Department of Psychology, Northeastern University, USA
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A methodological scoping review of the integration of fMRI to guide dMRI tractography. What has been done and what can be improved: A 20-year perspective. J Neurosci Methods 2022; 367:109435. [PMID: 34915047 DOI: 10.1016/j.jneumeth.2021.109435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 11/30/2021] [Accepted: 12/02/2021] [Indexed: 11/23/2022]
Abstract
Combining MRI modalities is a growing trend in neurosciences. It provides opportunities to investigate the brain architecture supporting cognitive functions. Integrating fMRI activation to guide dMRI tractography offers potential advantages over standard tractography methods. A quick glimpse of the literature on this topic reveals that this technique is challenging, and no consensus or "best practices" currently exist, at least not within a single document. We present the first attempt to systematically analyze and summarize the literature of 80 studies that integrated task-based fMRI results to guide tractography, over the last two decades. We report 19 findings that cover challenges related to sample size, microstructure modelling, seeding methods, multimodal space registration, false negatives/positives, specificity/validity, gray/white matter interface and more. These findings will help the scientific community (1) understand the strengths and limitations of the approaches, (2) design studies using this integrative framework, and (3) motivate researchers to fill the gaps identified. We provide references toward best practices, in order to improve the overall result's replicability, sensitivity, specificity, and validity.
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6
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Ahmadi ZZ, DiBacco ML, Pearl PL. Speech Motor Function and Auditory Perception in Succinic Semialdehyde Dehydrogenase Deficiency: Toward Pre-Supplementary Motor Area (SMA) and SMA-Proper Dysfunctions. J Child Neurol 2021; 36:1210-1217. [PMID: 33757330 DOI: 10.1177/08830738211001210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study reviews the fundamental roles of pre-supplementary motor area (SMA) and SMA-proper responsible for speech-motor functions and auditory perception in succinic semialdehyde dehydrogenase (SSADH) deficiency. We comprehensively searched the databases of PubMed, Google Scholar, and the electronic journals Springer, PreQuest, and Science Direct associated with keywords SSADHD, SMA, auditory perception, speech, and motor with AND operator. Transcranial magnetic stimulation emerged for assessing excitability/inhibitory M1 functions, but its role in pre-SMA and SMA proper dysfunction remains unknown. There was a lack of data on resting-state and task-based functional magnetic resonance imaging (MRI), with a focus on passive and active tasks for both speech and music, in terms of analysis of SMA-related cortex and its connections. Children with SSADH deficiency likely experience a dysfunction in connectivity between SMA portions with cortical and subcortical areas contributing to disabilities in speech-motor functions and auditory perception. Early diagnosis of auditory-motor disabilities in children with SSADH deficiency by neuroimaging techniques invites opportunities for utilizing sensory-motor integration as future interventional strategies.
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Affiliation(s)
- Zohreh Ziatabar Ahmadi
- Department of Speech Therapy, School of Rehabilitation, Babol University of Medical Sciences, Babol, I.R. Iran
| | - Melissa L DiBacco
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Phillip L Pearl
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Wang D, Liang S. Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng 2021; 29:2299-2311. [PMID: 34714747 DOI: 10.1109/tnsre.2021.3123964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different aspects. However, no detailed summary or classification research on the task-related effective connectivity of various brain regions has been made formally available so far, and there is also a lack of application analysis of DCM for hemodynamic and electrophysiological measurements. This review aims to analyze the effective connectivity of different brain regions using DCM for different measurement data. We found that, in general, most studies focused on the networks between different cortical regions, and the research on the networks between other deep subcortical nuclei or between them and the cerebral cortex are receiving increasing attention, but far from the same scale. Our analysis also reveals a clear bias towards some task types. Based on these results, we identify and discuss several promising research directions that may help the community to attain a clear understanding of the brain network interactions under different tasks.
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Geva S, Schneider LM, Roberts S, Khan S, Gajardo-Vidal A, Lorca-Puls DL, Team P, Hope TMH, Green DW, Price CJ. Right cerebral motor areas that support accurate speech production following damage to cerebellar speech areas. NEUROIMAGE-CLINICAL 2021; 32:102820. [PMID: 34653836 PMCID: PMC8517928 DOI: 10.1016/j.nicl.2021.102820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 11/29/2022]
Abstract
Participants with damage to cerebellar speech regions were studied with fMRI. At the time of test, their speech production was accurate and precise. Their speech production activation was enhanced in right hemisphere motor regions. We provide hypotheses for targeting future fMRI and brain stimulation studies.
Specific regions of the cerebellum are activated when neurologically intact adults speak, and cerebellar damage can impair speech production early after stroke, but how the brain supports accurate speech production years after cerebellar damage remains unknown. We investigated this in patients with cerebellar lesions affecting regions that are normally recruited during speech production. Functional MRI activation in these patients, measured during various single word production tasks, was compared to that of neurologically intact controls, and patient controls with lesions that spared the cerebellar speech production regions. Our analyses revealed that, during a range of speech production tasks, patients with damage to cerebellar speech production regions had greater activation in the right dorsal premotor cortex (r-PMd) and right supplementary motor area (r-SMA) compared to neurologically intact controls. The loci of increased activation in cerebral motor speech areas motivate future studies to delineate the functional contributions of different parts of the speech production network, and test whether non-invasive stimulation to r-PMd and r-SMA facilitates speech recovery after cerebellar stroke.
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Affiliation(s)
- Sharon Geva
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.
| | - Letitia M Schneider
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom; Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Universitätsring 1, 1010 Vienna, Austria
| | - Sophie Roberts
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.
| | - Shamima Khan
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.
| | - Andrea Gajardo-Vidal
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom; Faculty of Health Sciences, Universidad del Desarrollo, Concepcion, Chile.
| | - Diego L Lorca-Puls
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom; Department of Speech, Language and Hearing Sciences, Faculty of Medicine, Universidad de Concepcion, Concepcion, Chile.
| | - Ploras Team
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom
| | - Thomas M H Hope
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.
| | - David W Green
- Department of Experimental Psychology, Faculty of Brain Sciences, University College London, London, United Kingdom.
| | - Cathy J Price
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.
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Brain activation during non-habitual speech production: Revisiting the effects of simulated disfluencies in fluent speakers. PLoS One 2020; 15:e0228452. [PMID: 32004353 PMCID: PMC6993970 DOI: 10.1371/journal.pone.0228452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 01/15/2020] [Indexed: 11/19/2022] Open
Abstract
Over the past decades, brain imaging studies in fluently speaking participants have greatly advanced our knowledge of the brain areas involved in speech production. In addition, complementary information has been provided by investigations of brain activation patterns associated with disordered speech. In the present study we specifically aimed to revisit and expand an earlier study by De Nil and colleagues, by investigating the effects of simulating disfluencies on the brain activation patterns of fluent speakers during overt and covert speech production. In contrast to the De Nil et al. study, the current findings show that the production of voluntary, self-generated disfluencies by fluent speakers resulted in increased recruitment and activation of brain areas involved in speech production. These areas show substantial overlap with the neural networks involved in motor sequence learning in general, and learning of speech production, in particular. The implications of these findings for the interpretation of brain imaging studies on disordered and non-habitual speech production are discussed.
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Meier EL, Johnson JP, Kiran S. Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls. Cortex 2018; 108:173-192. [PMID: 30243049 PMCID: PMC6234086 DOI: 10.1016/j.cortex.2018.08.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 08/01/2018] [Accepted: 08/08/2018] [Indexed: 12/15/2022]
Abstract
Traditional models of neural reorganization of language skills in patients with chronic stroke-induced aphasia (PWA) propose activation of reperfused or spared left hemisphere tissue results in the most favorable language outcomes. However, these models do not fully explain variable behavioral recovery patterns observed in chronic patients. Instead, investigation of connectivity patterns of critical network nodes may elucidate better-informed recovery models. In the present study, we combined fMRI and dynamic causal modeling (DCM) to examine effective connectivity of a simple three-node left hemisphere network during a semantic feature decision task in 25 PWA and 18 age-matched neurologically intact healthy controls. The DCM model space utilized in Meier, Kapse, & Kiran (2016), which was organized according to exogenous input to one of three regions (i.e., left inferior frontal gyrus, pars triangularis [LIFGtri], left posterior middle temporal gyrus [LpMTG], or left middle frontal gyrus [LMFG]) implicated in various levels of lexical-semantic processing, was interrogated. This model space included all possible combinations of uni- and bidirectional task-modulated connections between LIFGtri, LMFG and LpMTG, resulting in 72 individual models that were partitioned into three separate families (i.e., Family #1: Input to LIFGtri, Family #2: Input to LMFG, Family #3: Input to LpMTG). Family-wise Bayesian model selection revealed Family #2: Input to LMFG best fit both patient and control data at a group level. Both groups relied heavily on LMFG's modulation of the other two model regions. By contrast, between-group differences in task-modulated coupling of LIFGtri and LpMTG were observed. Within the patient group, the strength of activity in LIFGtri and connectivity of LpMTG → LIFGtri were positively associated with lexical-semantic abilities inside and outside of the scanner, whereas greater recruitment of LpMTG was associated with poorer lexical-semantic skills.
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Affiliation(s)
- Erin L Meier
- Sargent College of Health & Rehabilitation Sciences, Boston University, United States.
| | - Jeffrey P Johnson
- Sargent College of Health & Rehabilitation Sciences, Boston University, United States
| | - Swathi Kiran
- Sargent College of Health & Rehabilitation Sciences, Boston University, United States
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11
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Perrachione TK, Ghosh SS, Ostrovskaya I, Gabrieli JDE, Kovelman I. Phonological Working Memory for Words and Nonwords in Cerebral Cortex. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2017; 60:1959-1979. [PMID: 28631005 PMCID: PMC5831089 DOI: 10.1044/2017_jslhr-l-15-0446] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Revised: 05/25/2016] [Accepted: 10/27/2016] [Indexed: 05/27/2023]
Abstract
PURPOSE The primary purpose of this study was to identify the brain bases of phonological working memory (the short-term maintenance of speech sounds) using behavioral tasks analogous to clinically sensitive assessments of nonword repetition. The secondary purpose of the study was to identify how individual differences in brain activation were related to participants' nonword repetition abilities. METHOD We used functional magnetic resonance imaging to measure neurophysiological response during a nonword discrimination task derived from standard clinical assessments of phonological working memory. Healthy adult control participants (N = 16) discriminated pairs of real words or nonwords under varying phonological working memory load, which we manipulated by parametrically varying the number of syllables in target (non)words. Participants' cognitive and phonological abilities were also measured using standardized assessments. RESULTS Neurophysiological responses in bilateral superior temporal gyrus, inferior frontal gyrus, and supplementary motor area increased with greater phonological working memory load. Activation in left superior temporal gyrus during nonword discrimination correlated with participants' performance on standard clinical nonword repetition tests. CONCLUSION These results suggest that phonological working memory is related to the function of cortical structures that canonically underlie speech perception and production.
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Affiliation(s)
| | - Satrajit S. Ghosh
- Massachusetts Institute of Technology, Cambridge
- Harvard Medical School, Boston, MA
| | - Irina Ostrovskaya
- Massachusetts Institute of Technology, Cambridge
- Harvard Medical School, Boston, MA
| | - John D. E. Gabrieli
- Massachusetts Institute of Technology, Cambridge
- Harvard Medical School, Boston, MA
| | - Ioulia Kovelman
- Massachusetts Institute of Technology, Cambridge
- University of Michigan, Ann Arbor
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12
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Berthier ML, De-Torres I, Paredes-Pacheco J, Roé-Vellvé N, Thurnhofer-Hemsi K, Torres-Prioris MJ, Alfaro F, Moreno-Torres I, López-Barroso D, Dávila G. Cholinergic Potentiation and Audiovisual Repetition-Imitation Therapy Improve Speech Production and Communication Deficits in a Person with Crossed Aphasia by Inducing Structural Plasticity in White Matter Tracts. Front Hum Neurosci 2017; 11:304. [PMID: 28659776 PMCID: PMC5470532 DOI: 10.3389/fnhum.2017.00304] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/26/2017] [Indexed: 12/18/2022] Open
Abstract
Donepezil (DP), a cognitive-enhancing drug targeting the cholinergic system, combined with massed sentence repetition training augmented and speeded up recovery of speech production deficits in patients with chronic conduction aphasia and extensive left hemisphere infarctions (Berthier et al., 2014). Nevertheless, a still unsettled question is whether such improvements correlate with restorative structural changes in gray matter and white matter pathways mediating speech production. In the present study, we used pharmacological magnetic resonance imaging to study treatment-induced brain changes in gray matter and white matter tracts in a right-handed male with chronic conduction aphasia and a right subcortical lesion (crossed aphasia). A single-patient, open-label multiple-baseline design incorporating two different treatments and two post-treatment evaluations was used. The patient received an initial dose of DP (5 mg/day) which was maintained during 4 weeks and then titrated up to 10 mg/day and administered alone (without aphasia therapy) during 8 weeks (Endpoint 1). Thereafter, the drug was combined with an audiovisual repetition-imitation therapy (Look-Listen-Repeat, LLR) during 3 months (Endpoint 2). Language evaluations, diffusion weighted imaging (DWI), and voxel-based morphometry (VBM) were performed at baseline and at both endpoints in JAM and once in 21 healthy control males. Treatment with DP alone and combined with LLR therapy induced marked improvement in aphasia and communication deficits as well as in selected measures of connected speech production, and phrase repetition. The obtained gains in speech production remained well-above baseline scores even 4 months after ending combined therapy. Longitudinal DWI showed structural plasticity in the right frontal aslant tract and direct segment of the arcuate fasciculus with both interventions. VBM revealed no structural changes in other white matter tracts nor in cortical areas linked by these tracts. In conclusion, cholinergic potentiation alone and combined with a model-based aphasia therapy improved language deficits by promoting structural plastic changes in right white matter tracts.
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Affiliation(s)
- Marcelo L Berthier
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain
| | - Irene De-Torres
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain.,Unit of Physical Medicine and Rehabilitation, Regional University Hospital, MalagaMalaga, Spain
| | - José Paredes-Pacheco
- Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of MalagaMalaga, Spain
| | - Núria Roé-Vellvé
- Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of MalagaMalaga, Spain
| | - Karl Thurnhofer-Hemsi
- Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of MalagaMalaga, Spain.,Department of Computer Languages and Computer Science, Superior Technical School of Engineering in Informatics, University of MalagaMalaga, Spain
| | - María J Torres-Prioris
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain.,Department of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of MalagaMalaga, Spain
| | - Francisco Alfaro
- Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of MalagaMalaga, Spain
| | - Ignacio Moreno-Torres
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain.,Department of Spanish Language I, University of MalagaMalaga, Spain
| | - Diana López-Barroso
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain.,Department of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of MalagaMalaga, Spain
| | - Guadalupe Dávila
- Cognitive Neurology and Aphasia Unit and Cathedra ARPA of Aphasia, Centro de Investigaciones Médico-Sanitarias, Instituto de Investigación Biomédica de Málaga, University of MalagaMalaga, Spain.,Department of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of MalagaMalaga, Spain
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13
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Goranskaya D, Kreitewolf J, Mueller JL, Friederici AD, Hartwigsen G. Fronto-Parietal Contributions to Phonological Processes in Successful Artificial Grammar Learning. Front Hum Neurosci 2016; 10:551. [PMID: 27877120 PMCID: PMC5100555 DOI: 10.3389/fnhum.2016.00551] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 10/17/2016] [Indexed: 11/13/2022] Open
Abstract
Sensitivity to regularities plays a crucial role in the acquisition of various linguistic features from spoken language input. Artificial grammar learning paradigms explore pattern recognition abilities in a set of structured sequences (i.e., of syllables or letters). In the present study, we investigated the functional underpinnings of learning phonological regularities in auditorily presented syllable sequences. While previous neuroimaging studies either focused on functional differences between the processing of correct vs. incorrect sequences or between different levels of sequence complexity, here the focus is on the neural foundation of the actual learning success. During functional magnetic resonance imaging (fMRI), participants were exposed to a set of syllable sequences with an underlying phonological rule system, known to ensure performance differences between participants. We expected that successful learning and rule application would require phonological segmentation and phoneme comparison. As an outcome of four alternating learning and test fMRI sessions, participants split into successful learners and non-learners. Relative to non-learners, successful learners showed increased task-related activity in a fronto-parietal network of brain areas encompassing the left lateral premotor cortex as well as bilateral superior and inferior parietal cortices during both learning and rule application. These areas were previously associated with phonological segmentation, phoneme comparison, and verbal working memory. Based on these activity patterns and the phonological strategies for rule acquisition and application, we argue that successful learning and processing of complex phonological rules in our paradigm is mediated via a fronto-parietal network for phonological processes.
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Affiliation(s)
- Dariya Goranskaya
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
| | - Jens Kreitewolf
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; International Laboratory for Brain, Music and Sound Research, Department of Psychology, University of Montreal, MontrealQC, Canada
| | - Jutta L Mueller
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain SciencesLeipzig, Germany; Institute of Cognitive Science, University of OsnabrückOsnabrück, Germany
| | - Angela D Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
| | - Gesa Hartwigsen
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
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14
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Hartwigsen G, Henseler I, Stockert A, Wawrzyniak M, Wendt C, Klingbeil J, Baumgaertner A, Saur D. Integration demands modulate effective connectivity in a fronto-temporal network for contextual sentence integration. Neuroimage 2016; 147:812-824. [PMID: 27542723 DOI: 10.1016/j.neuroimage.2016.08.026] [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: 04/18/2016] [Revised: 07/23/2016] [Accepted: 08/15/2016] [Indexed: 11/29/2022] Open
Abstract
Previous neuroimaging studies demonstrated that a network of left-hemispheric frontal and temporal brain regions contributes to the integration of contextual information into a sentence. However, it remains unclear how these cortical areas influence and drive each other during contextual integration. The present study used dynamic causal modeling (DCM) to investigate task-related changes in the effective connectivity within this network. We found increased neural activity in left anterior inferior frontal gyrus (aIFG), posterior superior temporal sulcus/middle temporal gyrus (pSTS/MTG) and anterior superior temporal sulcus/MTG (aSTS/MTG) that probably reflected increased integration demands and restructuring attempts during the processing of unexpected or semantically anomalous relative to expected endings. DCM analyses of this network revealed that unexpected endings increased the inhibitory influence of left aSTS/MTG on pSTS/MTG during contextual integration. In contrast, during the processing of semantically anomalous endings, left aIFG increased its inhibitory drive on pSTS/MTG. Probabilistic fiber tracking showed that effective connectivity between these areas is mediated by distinct ventral and dorsal white matter association tracts. Together, these results suggest that increasing integration demands require an inhibition of the left pSTS/MTG, which presumably reflects the inhibition of the dominant expected sentence ending. These results are important for a better understanding of the neural implementation of sentence comprehension on a large-scale network level and might influence future studies of language in post-stroke aphasia after focal lesions.
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Affiliation(s)
- Gesa Hartwigsen
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany; Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany.
| | - Ilona Henseler
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
| | - Anika Stockert
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany
| | - Max Wawrzyniak
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany
| | - Christin Wendt
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany
| | - Julian Klingbeil
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany
| | | | - Dorothee Saur
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig, Germany
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15
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Hertrich I, Dietrich S, Ackermann H. The role of the supplementary motor area for speech and language processing. Neurosci Biobehav Rev 2016; 68:602-610. [PMID: 27343998 DOI: 10.1016/j.neubiorev.2016.06.030] [Citation(s) in RCA: 173] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 06/17/2016] [Accepted: 06/21/2016] [Indexed: 01/23/2023]
Abstract
Apart from its function in speech motor control, the supplementary motor area (SMA) has largely been neglected in models of speech and language processing in the brain. The aim of this review paper is to summarize more recent work, suggesting that the SMA has various superordinate control functions during speech communication and language reception, which is particularly relevant in case of increased task demands. The SMA is subdivided into a posterior region serving predominantly motor-related functions (SMA proper) whereas the anterior part (pre-SMA) is involved in higher-order cognitive control mechanisms. In analogy to motor triggering functions of the SMA proper, the pre-SMA seems to manage procedural aspects of cognitive processing. These latter functions, among others, comprise attentional switching, ambiguity resolution, context integration, and coordination between procedural and declarative memory structures. Regarding language processing, this refers, for example, to the use of inner speech mechanisms during language encoding, but also to lexical disambiguation, syntax and prosody integration, and context-tracking.
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Affiliation(s)
- Ingo Hertrich
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany.
| | - Susanne Dietrich
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Hermann Ackermann
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
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16
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Meier EL, Kapse KJ, Kiran S. The Relationship between Frontotemporal Effective Connectivity during Picture Naming, Behavior, and Preserved Cortical Tissue in Chronic Aphasia. Front Hum Neurosci 2016; 10:109. [PMID: 27014039 PMCID: PMC4792868 DOI: 10.3389/fnhum.2016.00109] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 02/29/2016] [Indexed: 11/17/2022] Open
Abstract
While several studies of task-based effective connectivity of normal language processing exist, little is known about the functional reorganization of language networks in patients with stroke-induced chronic aphasia. During oral picture naming, activation in neurologically intact individuals is found in "classic" language regions involved with retrieval of lexical concepts [e.g., left middle temporal gyrus (LMTG)], word form encoding [e.g., left posterior superior temporal gyrus, (LpSTG)], and controlled retrieval of semantic and phonological information [e.g., left inferior frontal gyrus (LIFG)] as well as domain-general regions within the multiple demands network [e.g., left middle frontal gyrus (LMFG)]. After stroke, lesions to specific parts of the left hemisphere language network force reorganization of this system. While individuals with aphasia have been found to recruit similar regions for language tasks as healthy controls, the relationship between the dynamic functioning of the language network and individual differences in underlying neural structure and behavioral performance is still unknown. Therefore, in the present study, we used dynamic causal modeling (DCM) to investigate differences between individuals with aphasia and healthy controls in terms of task-induced regional interactions between three regions (i.e., LIFG, LMFG, and LMTG) vital for picture naming. The DCM model space was organized according to exogenous input to these regions and partitioned into separate families. At the model level, random effects family wise Bayesian Model Selection revealed that models with driving input to LIFG best fit the control data whereas models with driving input to LMFG best fit the patient data. At the parameter level, a significant between-group difference in the connection strength from LMTG to LIFG was seen. Within the patient group, several significant relationships between network connectivity parameters, spared cortical tissue, and behavior were observed. Overall, this study provides some preliminary findings regarding how neural networks for language reorganize for individuals with aphasia and how brain connectivity relates to underlying structural integrity and task performance.
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Affiliation(s)
- Erin L. Meier
- Department of Speech Language and Hearing Sciences, Aphasia Research Laboratory, Sargent College, Boston University, BostonMA, USA
| | | | - Swathi Kiran
- Department of Speech Language and Hearing Sciences, Aphasia Research Laboratory, Sargent College, Boston University, BostonMA, USA
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17
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Abstract
Models propose an auditory-motor mapping via a left-hemispheric dorsal speech-processing stream, yet its detailed contributions to speech perception and production are unclear. Using fMRI-navigated repetitive transcranial magnetic stimulation (rTMS), we virtually lesioned left dorsal stream components in healthy human subjects and probed the consequences on speech-related facilitation of articulatory motor cortex (M1) excitability, as indexed by increases in motor-evoked potential (MEP) amplitude of a lip muscle, and on speech processing performance in phonological tests. Speech-related MEP facilitation was disrupted by rTMS of the posterior superior temporal sulcus (pSTS), the sylvian parieto-temporal region (SPT), and by double-knock-out but not individual lesioning of pars opercularis of the inferior frontal gyrus (pIFG) and the dorsal premotor cortex (dPMC), and not by rTMS of the ventral speech-processing stream or an occipital control site. RTMS of the dorsal stream but not of the ventral stream or the occipital control site caused deficits specifically in the processing of fast transients of the acoustic speech signal. Performance of syllable and pseudoword repetition correlated with speech-related MEP facilitation, and this relation was abolished with rTMS of pSTS, SPT, and pIFG. Findings provide direct evidence that auditory-motor mapping in the left dorsal stream causes reliable and specific speech-related MEP facilitation in left articulatory M1. The left dorsal stream targets the articulatory M1 through pSTS and SPT constituting essential posterior input regions and parallel via frontal pathways through pIFG and dPMC. Finally, engagement of the left dorsal stream is necessary for processing of fast transients in the auditory signal.
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18
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Motor skill learning between selection and execution. Trends Cogn Sci 2015; 19:227-33. [PMID: 25746123 DOI: 10.1016/j.tics.2015.02.003] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2014] [Revised: 02/02/2015] [Accepted: 02/04/2015] [Indexed: 11/23/2022]
Abstract
Learning motor skills evolves from the effortful selection of single movement elements to their combined fast and accurate production. We review recent trends in the study of skill learning which suggest a hierarchical organization of the representations that underlie such expert performance, with premotor areas encoding short sequential movement elements (chunks) or particular component features (timing/spatial organization). This hierarchical representation allows the system to utilize elements of well-learned skills in a flexible manner. One neural correlate of skill development is the emergence of specialized neural circuits that can produce the required elements in a stable and invariant fashion. We discuss the challenges in detecting these changes with fMRI.
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19
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Liljeström M, Kujala J, Stevenson C, Salmelin R. Dynamic reconfiguration of the language network preceding onset of speech in picture naming. Hum Brain Mapp 2014; 36:1202-16. [PMID: 25413681 PMCID: PMC4365727 DOI: 10.1002/hbm.22697] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Revised: 11/12/2014] [Accepted: 11/12/2014] [Indexed: 11/08/2022] Open
Abstract
Language production is a complex neural process that requires the interplay between multiple specialized cortical regions. We investigated modulations in large-scale cortical networks underlying preparation for speech production by contrasting cortico-cortical coherence for overt and silent picture naming in an all-to-all connectivity analysis. To capture transient, frequency-specific changes in functional connectivity we analyzed the magnetoencephalography data in two consecutive 300-ms time windows. Within the first 300 ms following picture onset beta frequency coherence was increased for overt naming in a network of regions comprising the bilateral parieto-temporal junction and medial cortices, suggesting that overt articulation modifies selection processes involved in speech planning. In the late time window (300-600 ms after picture onset) beta-range coherence was enhanced in a network that included the ventral sensorimotor and temporal cortices. Coherence in the gamma band was simultaneously reduced between the ventral motor cortex and supplementary motor area, bilaterally. The results suggest functionally distinct roles for beta (facilitatory) and gamma (suppressive) band interactions in speech production, with strong involvement of the motor cortex in both frequency bands. Overall, a striking difference in functional connectivity between the early and late time windows was observed, revealing the dynamic nature of large-scale cortical networks that support language and speech. Our results demonstrate that as the naming task evolves in time, the global connectivity patterns change, and that these changes occur (at least) on the time-scale of a few hundred milliseconds. More generally, these results bear implications for how we view large-scale neural networks underlying task performance.
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Affiliation(s)
- Mia Liljeström
- Brain Research Unit, O.V. Lounasmaa Laboratory, Aalto University, Aalto, Finland; Aalto NeuroImaging, Aalto University, Aalto, Finland; Department of Neurological Sciences, University of Helsinki, HY, Finland; Department of Neurology, Helsinki University Central Hospital, HUS, Finland
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20
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Ter Minassian A, Ricalens E, Nguyen The Tich S, Dinomais M, Aubé C, Beydon L. The presupplementary area within the language network: a resting state functional magnetic resonance imaging functional connectivity analysis. Brain Connect 2014; 4:440-53. [PMID: 24939724 DOI: 10.1089/brain.2014.0263] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The presupplementary motor area (pre-SMA) is involved in volitional selection. Despite the lateralization of the language network and different functions for both pre-SMA, few studies have reported the lateralization of pre-SMA activity and very little is known about the possible lateralization of pre-SMA connectivity. Via functional connectivity analysis, we sought to understand how the language network may be connected to other intrinsic connectivity networks (ICNs) through the pre-SMA. We performed a spatial independent component analysis of resting state functional magnetic resonance imaging in 30 volunteers to identify the language network. Subsequently, we applied seed-to-voxel functional connectivity analyses centered on peaks detected in the pre-SMA. Three signal peaks were detected in the pre-SMA. The left rostral pre-SMA intrinsic connectivity network (LR ICN) was left lateralized in contrast to bilateral ICNs associated to right pre-SMA peaks. The LR ICN was anticorrelated with the dorsal attention network and the right caudal pre-SMA ICN (RC ICN) anticorrelated with the default mode network. These two ICNs overlapped minimally. In contrast, the right rostral ICN overlapped the LR ICN. Both right ICNs overlapped in the ventral attention network (vATT). The bilateral connectivity of the right rostral pre-SMA may allow right hemispheric recruitment to process semantic ambiguities. Overlap between the right pre-SMA ICNs in vATT may contribute to internal thought to external environment reorientation. Distinct ICNs connected to areas involved in lexico-syntactic selection and phonology converge in the pre-SMA, which may constitute the resolution space of competing condition-action associations for speech production.
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Affiliation(s)
- Aram Ter Minassian
- 1 Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) , Équipe Information, Signal, Image et Sciences du Vivant (ISISV), Université d'Angers, Angers, France
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21
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van der Hoorn A, Potgieser ARE, de Jong BM. Transcallosal connection patterns of opposite dorsal premotor regions support a lateralized specialization for action and perception. Eur J Neurosci 2014; 40:2980-6. [PMID: 24945328 DOI: 10.1111/ejn.12656] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Revised: 04/14/2014] [Accepted: 05/13/2014] [Indexed: 12/01/2022]
Abstract
Lateralization of higher brain functions requires that a dominant hemisphere collects relevant information from both sides. The right dorsal premotor cortex (PMd), particularly implicated in visuomotor transformations, was hypothesized to be optimally located to converge visuospatial information from both hemispheres for goal-directed movement. This was assessed by probabilistic tractography and a novel analysis enabling group comparisons of whole-brain connectivity distributions of the left and right PMd in standard space (16 human subjects). The resulting dominance of contralateral PMd connections was characterized by right PMd connections with left visual and parietal areas, indeed supporting a dominant role in visuomotor transformations, while the left PMd showed dominant contralateral connections with the frontal lobe. Ipsilateral right PMd connections were also stronger with posterior parietal regions, relative to the left PMd connections, while ipsilateral connections of the left PMd were stronger with, particularly, the anterior cingulate, the ventral premotor and anterior parietal cortex. The pattern of dominant right PMd connections thus points to a specific role in guiding perceptual information into the motor system, while the left PMd connections are consistent with action dominance based on a lead in motor intention and fine precision skills.
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Affiliation(s)
- Anouk van der Hoorn
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700, RB Groningen, The Netherlands; Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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22
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Effector-independent motor sequence representations exist in extrinsic and intrinsic reference frames. J Neurosci 2014; 34:5054-64. [PMID: 24695723 DOI: 10.1523/jneurosci.5363-13.2014] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Many daily activities rely on the ability to produce meaningful sequences of movements. Motor sequences can be learned in an effector-specific fashion (such that benefits of training are restricted to the trained hand) or an effector-independent manner (meaning that learning also facilitates performance with the untrained hand). Effector-independent knowledge can be represented in extrinsic/world-centered or in intrinsic/body-centered coordinates. Here, we used functional magnetic resonance imaging (fMRI) and multivoxel pattern analysis to determine the distribution of intrinsic and extrinsic finger sequence representations across the human neocortex. Participants practiced four sequences with one hand for 4 d, and then performed these sequences during fMRI with both left and right hand. Between hands, these sequences were equivalent in extrinsic or intrinsic space, or were unrelated. In dorsal premotor cortex (PMd), we found that sequence-specific activity patterns correlated higher for extrinsic than for unrelated pairs, providing evidence for an extrinsic sequence representation. In contrast, primary sensory and motor cortices showed effector-independent representations in intrinsic space, with considerable overlap of the two reference frames in caudal PMd. These results suggest that effector-independent representations exist not only in world-centered, but also in body-centered coordinates, and that PMd may be involved in transforming sequential knowledge between the two. Moreover, although effector-independent sequence representations were found bilaterally, they were stronger in the hemisphere contralateral to the trained hand. This indicates that intermanual transfer relies on motor memories that are laid down during training in both hemispheres, but preferentially draws upon sequential knowledge represented in the trained hemisphere.
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23
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Kiyama S, Kunimi M, Iidaka T, Nakai T. Distant functional connectivity for bimanual finger coordination declines with aging: an fMRI and SEM exploration. Front Hum Neurosci 2014; 8:251. [PMID: 24795606 PMCID: PMC4007017 DOI: 10.3389/fnhum.2014.00251] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Accepted: 04/04/2014] [Indexed: 11/13/2022] Open
Abstract
Although bimanual finger coordination is known to decline with aging, it still remains unclear how exactly the neural substrates underlying the coordination differ between young and elderly adults. The present study focused on: (1) characterization of the functional connectivity within the motor association cortex which is required for successful bimanual finger coordination, and (2) to elucidate upon its age-related decline. To address these objectives, we utilized functional magnetic resonance imaging (fMRI) in combination with structural equation modeling (SEM). This allowed us to compare functional connectivity models between young and elderly age groups during a visually guided bimanual finger movement task using both stable in-phase and complex anti-phase modes. Our SEM exploration of functional connectivity revealed significant age-related differences in connections surrounding the PMd in the dominant hemisphere. In the young group who generally displayed accurate behavior, the SEM model for the anti-phase mode exhibited significant connections from the dominant PMd to the non-dominant SPL, and from the dominant PMd to the dominant S1. However, the model for the elderly group's anti-phase mode in which task performance dropped, did not exhibit significant connections within the aforementioned regions. These results suggest that: (1) the dominant PMd acts as an intermediary to invoke intense intra- and inter-hemispheric connectivity with distant regions among the higher motor areas including the dominant S1 and the non-dominant SPL in order to achieve successful bimanual finger coordination, and (2) the distant connectivity among the higher motor areas declines with aging, whereas the local connectivity within the bilateral M1 is enhanced for the complex anti-phase mode. The latter may underlie the elderly's decreased performance in the complex anti-phase mode of the bimanual finger movement task.
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Affiliation(s)
- Sachiko Kiyama
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
| | - Mitsunobu Kunimi
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
| | - Tetsuya Iidaka
- Department of Psychiatry, Graduate School of Medicine, Nagoya University Nagoya, Japan
| | - Toshiharu Nakai
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
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24
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Connectivity between Right Inferior Frontal Gyrus and Supplementary Motor Area Predicts After-Effects of Right Frontal Cathodal tDCS on Picture Naming Speed. Brain Stimul 2014; 7:122-9. [DOI: 10.1016/j.brs.2013.08.007] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Revised: 08/10/2013] [Accepted: 08/29/2013] [Indexed: 11/19/2022] Open
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25
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Berthier ML, Froudist Walsh S, Dávila G, Nabrozidis A, Juárez Y Ruiz de Mier R, Gutiérrez A, De-Torres I, Ruiz-Cruces R, Alfaro F, García-Casares N. Dissociated repetition deficits in aphasia can reflect flexible interactions between left dorsal and ventral streams and gender-dimorphic architecture of the right dorsal stream. Front Hum Neurosci 2013; 7:873. [PMID: 24391569 PMCID: PMC3867969 DOI: 10.3389/fnhum.2013.00873] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Accepted: 11/29/2013] [Indexed: 01/01/2023] Open
Abstract
Assessment of brain-damaged subjects presenting with dissociated repetition deficits after selective injury to either the left dorsal or ventral auditory pathways can provide further insight on their respective roles in verbal repetition. We evaluated repetition performance and its neural correlates using multimodal imaging (anatomical MRI, DTI, fMRI, and18FDG-PET) in a female patient with transcortical motor aphasia (TCMA) and in a male patient with conduction aphasia (CA) who had small contiguous but non-overlapping left perisylvian infarctions. Repetition in the TCMA patient was fully preserved except for a mild impairment in nonwords and digits, whereas the CA patient had impaired repetition of nonwords, digits and word triplet lists. Sentence repetition was impaired, but he repeated novel sentences significantly better than clichés. The TCMA patient had tissue damage and reduced metabolism in the left sensorimotor cortex and insula. DTI showed damage to the left temporo-frontal and parieto-frontal segments of the arcuate fasciculus (AF) and part of the left ventral stream together with well-developed right dorsal and ventral streams, as has been reported in more than one-third of females. The CA patient had tissue damage and reduced metabolic activity in the left temporoparietal cortex with additional metabolic decrements in the left frontal lobe. DTI showed damage to the left temporo-parietal and temporo-frontal segments of the AF, but the ventral stream was spared. The direct segment of the AF in the right hemisphere was also absent with only vestigial remains of the other dorsal subcomponents present, as is often found in males. fMRI during word and nonword repetition revealed bilateral perisylvian activation in the TCMA patient suggesting recruitment of spared segments of the left dorsal stream and right dorsal stream with propagation of signals to temporal lobe structures suggesting a compensatory reallocation of resources via the ventral streams. The CA patient showed a greater activation of these cortical areas than the TCMA patient, but these changes did not result in normal performance. Repetition of word triplet lists activated bilateral perisylvian cortices in both patients, but activation in the CA patient with very poor performance was restricted to small frontal and posterior temporal foci bilaterally. These findings suggest that dissociated repetition deficits in our cases are probably reliant on flexible interactions between left dorsal stream (spared segments, short tracts remains) and left ventral stream and on gender-dimorphic architecture of the right dorsal stream.
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Affiliation(s)
- Marcelo L Berthier
- Unit of Cognitive Neurology an Aphasia, Department of Medicine, Centro de Investigaciones Médico-Sanitarias, University of Malaga Malaga, Spain
| | - Seán Froudist Walsh
- Department of Psychosis Studies, Institute of Psychiatry, King's Health Partners, King's College London London, UK
| | - Guadalupe Dávila
- Unit of Cognitive Neurology an Aphasia, Department of Medicine, Centro de Investigaciones Médico-Sanitarias, University of Malaga Malaga, Spain ; Department of Psychobiology and Methodology of Comportamental Sciences, Faculty of Psychology, University of Malaga Malaga, Spain
| | - Alejandro Nabrozidis
- Unit of Molecular Imaging, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of Malaga Malaga, Spain
| | - Rocío Juárez Y Ruiz de Mier
- Unit of Cognitive Neurology an Aphasia, Department of Medicine, Centro de Investigaciones Médico-Sanitarias, University of Malaga Malaga, Spain
| | - Antonio Gutiérrez
- Department of Psychobiology and Methodology of Comportamental Sciences, Faculty of Psychology, University of Malaga Malaga, Spain
| | - Irene De-Torres
- Unit of Cognitive Neurology an Aphasia, Department of Medicine, Centro de Investigaciones Médico-Sanitarias, University of Malaga Malaga, Spain
| | - Rafael Ruiz-Cruces
- Unit of Cognitive Neurology an Aphasia, Department of Medicine, Centro de Investigaciones Médico-Sanitarias, University of Malaga Malaga, Spain
| | - Francisco Alfaro
- Unit of Molecular Imaging, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of Malaga Malaga, Spain
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Oberhuber M, Parker Jones 'Ō, Hope TMH, Prejawa S, Seghier ML, Green DW, Price CJ. Functionally distinct contributions of the anterior and posterior putamen during sublexical and lexical reading. Front Hum Neurosci 2013; 7:787. [PMID: 24312042 PMCID: PMC3833116 DOI: 10.3389/fnhum.2013.00787] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Accepted: 10/30/2013] [Indexed: 11/25/2022] Open
Abstract
Previous studies have investigated orthographic-to-phonological mapping during reading by comparing brain activation for (1) reading words to object naming, or (2) reading pseudowords (e.g., “phume”) to words (e.g., “plume”). Here we combined both approaches to provide new insights into the underlying neural mechanisms. In fMRI data from 25 healthy adult readers, we first identified activation that was greater for reading words and pseudowords relative to picture and color naming. The most significant effect was observed in the left putamen, extending to both anterior and posterior borders. Second, consistent with previous studies, we show that both the anterior and posterior putamen are involved in articulating speech with greater activation during our overt speech production tasks (reading, repetition, object naming, and color naming) than silent one-back-matching on the same stimuli. Third, we compared putamen activation for words versus pseudowords during overt reading and auditory repetition. This revealed that the anterior putamen was most activated by reading pseudowords, whereas the posterior putamen was most activated by words irrespective of whether the task was reading words or auditory word repetition. The pseudoword effect in the anterior putamen is consistent with prior studies that associated this region with the initiation of novel sequences of movements. In contrast, the heightened word response in the posterior putamen is consistent with other studies that associated this region with “memory guided movement.” Our results illustrate how the functional dissociation between the anterior and posterior putamen supports sublexical and lexical processing during reading.
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Affiliation(s)
- Marion Oberhuber
- Wellcome Trust Centre for Neuroimaging, University College London London, UK
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Hartwigsen G, Saur D, Price CJ, Ulmer S, Baumgaertner A, Siebner HR. Perturbation of the left inferior frontal gyrus triggers adaptive plasticity in the right homologous area during speech production. Proc Natl Acad Sci U S A 2013; 110:16402-7. [PMID: 24062469 PMCID: PMC3799383 DOI: 10.1073/pnas.1310190110] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The role of the right hemisphere in aphasia recovery after left hemisphere damage remains unclear. Increased activation of the right hemisphere has been observed after left hemisphere damage. This may simply reflect a release from transcallosal inhibition that does not contribute to language functions. Alternatively, the right hemisphere may actively contribute to language functions by supporting disrupted processing in the left hemisphere via interhemispheric connections. To test this hypothesis, we applied off-line continuous theta burst stimulation (cTBS) over the left inferior frontal gyrus (IFG) in healthy volunteers, then used functional MRI to investigate acute changes in effective connectivity between the left and right hemispheres during repetition of auditory and visual words and pseudowords. In separate sessions, we applied cTBS over the left anterior IFG (aIFG) or posterior IFG (pIFG) to test the anatomic specificity of the effects of cTBS on speech processing. Compared with cTBS over the aIFG, cTBS over the pIFG suppressed activity in the left pIFG and increased activity in the right pIFG during pseudoword vs. word repetition in both modalities. This effect was associated with a stronger facilitatory drive from the right pIFG to the left pIFG during pseudoword repetition. Critically, response became faster as the influence of the right pIFG on left pIFG increased, indicating that homologous areas in the right hemisphere actively contribute to language function after a focal left hemisphere lesion. Our findings lend further support to the notion that increased activation of homologous right hemisphere areas supports aphasia recovery after left hemisphere damage.
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Affiliation(s)
- Gesa Hartwigsen
- Department of Neurology, Christian-Albrechts-University Kiel, 24105 Kiel, Germany
- Language and Aphasia Laboratory, Department of Neurology, University of Leipzig, 04103 Leipzig, Germany
- Department of Psychology, Christian-Albrechts-University Kiel, 24118 Kiel, Germany
| | - Dorothee Saur
- Language and Aphasia Laboratory, Department of Neurology, University of Leipzig, 04103 Leipzig, Germany
| | - Cathy J. Price
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom
| | - Stephan Ulmer
- Department of Neuroradiology, Medical Radiological Institute, 8001 Zurich, Switzerland
- Institute of Neuroradiology, University Hospital Schleswig-Holstein, 24105 Kiel, Germany
| | - Annette Baumgaertner
- Department of Neurology, Christian-Albrechts-University Kiel, 24105 Kiel, Germany
- Department of Speech and Language Pathology, Hochschule Fresenius Hamburg, 20148 Hamburg, Germany; and
| | - Hartwig R. Siebner
- Department of Neurology, Christian-Albrechts-University Kiel, 24105 Kiel, Germany
- Danish Research Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, 2650 Hvidovre, Denmark
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Wiestler T, Diedrichsen J. Skill learning strengthens cortical representations of motor sequences. eLife 2013; 2:e00801. [PMID: 23853714 PMCID: PMC3707182 DOI: 10.7554/elife.00801] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Accepted: 06/05/2013] [Indexed: 12/04/2022] Open
Abstract
Motor-skill learning can be accompanied by both increases and decreases in brain activity. Increases may indicate neural recruitment, while decreases may imply that a region became unimportant or developed a more efficient representation of the skill. These overlapping mechanisms make interpreting learning-related changes of spatially averaged activity difficult. Here we show that motor-skill acquisition is associated with the emergence of highly distinguishable activity patterns for trained movement sequences, in the absence of average activity increases. During functional magnetic resonance imaging, participants produced either four trained or four untrained finger sequences. Using multivariate pattern analysis, both untrained and trained sequences could be discriminated in primary and secondary motor areas. However, trained sequences were classified more reliably, especially in the supplementary motor area. Our results indicate skill learning leads to the development of specialized neuronal circuits, which allow the execution of fast and accurate sequential movements without average increases in brain activity. DOI:http://dx.doi.org/10.7554/eLife.00801.001 Functional magnetic resonance imaging (fMRI) is a widely used technique that makes it possible to observe changes in a person’s brain activity as they perform specific tasks while lying in a scanner. These could range from listening to music or looking at images, to recalling words or imagining a scene, and each will produce a distinct pattern of neural activity. However, fMRI data can be difficult to interpret. Say a particular area of the brain is very active when a subject is trying to perform a new task, but becomes less active as the subject becomes better at the task and performs it more easily. Does this mean that the brain region is used for learning the task, but not for performing once it has been learned? Or alternatively, does it show that the brain area is involved in carrying out the task, but that it becomes more efficient with practice, and so shows less activity in later scans? Now, Wiestler and Diedrichsen have obtained data that help to distinguish between these alternatives. Subjects were trained to carry out four specific sequences of finger movements and then asked either to reproduce these ‘trained’ sequences or to perform four ‘untrained’ sequences while in the fMRI scanner. All eight sequences produced high levels of activity in the areas of motor cortex that control finger movements. However, closer analysis showed marked differences between the patterns of activity produced during the ‘trained’ sequences and those seen during ‘untrained’ sequences that involved moving the same fingers. Wiestler and Diedrichsen proposed that when subjects train to perform specific movement sequences, this should lead to the development of neural circuits that are specialized to carry out those specific movements—and that detailed analysis of the fMRI data would allow them to identify patterns of activity that correspond to these circuits. Sure enough, when they analysed the fMRI scans, Wiestler and Diedrichsen found that the activation patterns associated with ‘trained’ movement sequences were more readily distinguishable from each other than those associated with the ‘untrained’ movement sequences, even in areas where training led to an overall reduction in activity. As well as showing that movement sequences become associated with specific spatial patterns of activation as they are learned, this study provides a new way to study learning in fMRI that should be useful for many future studies. DOI:http://dx.doi.org/10.7554/eLife.00801.002
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Affiliation(s)
- Tobias Wiestler
- Institute of Cognitive Neuroscience , University College London , London , United Kingdom
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