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Mai G, Jiang Z, Wang X, Tachtsidis I, Howell P. Neuroplasticity of Speech-in-Noise Processing in Older Adults Assessed by Functional Near-Infrared Spectroscopy (fNIRS). Brain Topogr 2024; 37:1139-1157. [PMID: 39042322 PMCID: PMC11408581 DOI: 10.1007/s10548-024-01070-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 07/13/2024] [Indexed: 07/24/2024]
Abstract
Functional near-infrared spectroscopy (fNIRS), a non-invasive optical neuroimaging technique that is portable and acoustically silent, has become a promising tool for evaluating auditory brain functions in hearing-vulnerable individuals. This study, for the first time, used fNIRS to evaluate neuroplasticity of speech-in-noise processing in older adults. Ten older adults, most of whom had moderate-to-mild hearing loss, participated in a 4-week speech-in-noise training. Their speech-in-noise performances and fNIRS brain responses to speech (auditory sentences in noise), non-speech (spectrally-rotated speech in noise) and visual (flashing chequerboards) stimuli were evaluated pre- (T0) and post-training (immediately after training, T1; and after a 4-week retention, T2). Behaviourally, speech-in-noise performances were improved after retention (T2 vs. T0) but not immediately after training (T1 vs. T0). Neurally, we intriguingly found brain responses to speech vs. non-speech decreased significantly in the left auditory cortex after retention (T2 vs. T0 and T2 vs. T1) for which we interpret as suppressed processing of background noise during speech listening alongside the significant behavioural improvements. Meanwhile, functional connectivity within and between multiple regions of temporal, parietal and frontal lobes was significantly enhanced in the speech condition after retention (T2 vs. T0). We also found neural changes before the emergence of significant behavioural improvements. Compared to pre-training, responses to speech vs. non-speech in the left frontal/prefrontal cortex were decreased significantly both immediately after training (T1 vs. T0) and retention (T2 vs. T0), reflecting possible alleviation of listening efforts. Finally, connectivity was significantly decreased between auditory and higher-level non-auditory (parietal and frontal) cortices in response to visual stimuli immediately after training (T1 vs. T0), indicating decreased cross-modal takeover of speech-related regions during visual processing. The results thus showed that neuroplasticity can be observed not only at the same time with, but also before, behavioural changes in speech-in-noise perception. To our knowledge, this is the first fNIRS study to evaluate speech-based auditory neuroplasticity in older adults. It thus provides important implications for current research by illustrating the promises of detecting neuroplasticity using fNIRS in hearing-vulnerable individuals.
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Affiliation(s)
- Guangting Mai
- National Institute for Health and Care Research Nottingham Biomedical Research Centre, Nottingham, UK.
- Academic Unit of Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
- Division of Psychology and Language Sciences, University College London, London, UK.
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
| | - Zhizhao Jiang
- Division of Psychology and Language Sciences, University College London, London, UK
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Xinran Wang
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Ilias Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Peter Howell
- Division of Psychology and Language Sciences, University College London, London, UK
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2
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Tsai P, Latypov TH, Hung PSP, Halawani A, Srisaikaew P, Walker MR, Zhang AB, Wang W, Hassannia F, Barake R, Gordon KA, Ibrahim GM, Rutka J, Hodaie M. Structural connectivity changes in unilateral hearing loss. Cereb Cortex 2024; 34:bhae220. [PMID: 38896551 DOI: 10.1093/cercor/bhae220] [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: 01/14/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 06/21/2024] Open
Abstract
Network connectivity, as mapped by the whole brain connectome, plays a crucial role in regulating auditory function. Auditory deprivation such as unilateral hearing loss might alter structural network connectivity; however, these potential alterations are poorly understood. Thirty-seven acoustic neuroma patients with unilateral hearing loss (19 left-sided and 18 right-sided) and 19 healthy controls underwent diffusion-weighted and T1-weighted imaging to assess edge strength, node strength, and global efficiency of the structural connectome. Edge strength was estimated by pair-wise normalized streamline density from tractography and connectomics. Node strength and global efficiency were calculated through graph theory analysis of the connectome. Pure-tone audiometry and word recognition scores were used to correlate the degree and duration of unilateral hearing loss with node strength and global efficiency. We demonstrate significantly stronger edge strength and node strength through the visual network, weaker edge strength and node strength in the somatomotor network, and stronger global efficiency in the unilateral hearing loss patients. No discernible correlations were observed between the degree and duration of unilateral hearing loss and the measures of node strength or global efficiency. These findings contribute to our understanding of the role of structural connectivity in hearing by facilitating visual network upregulation and somatomotor network downregulation after unilateral hearing loss.
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Affiliation(s)
- Pascale Tsai
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
| | - Timur H Latypov
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
| | - Peter Shih-Ping Hung
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
| | - Aisha Halawani
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
- Division of Neuroradiology, Joint Department of Medical Imaging, Toronto Western Hospital, University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8, Canada
- Department of Medical Imaging, Ministry of the National Guard-Health Affairs, C967+PRM, King Abdul Aziz Medical City, Jeddah 22384, Saudi Arabia
| | - Patcharaporn Srisaikaew
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
| | - Matthew R Walker
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
| | - Ashley B Zhang
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
| | - Wanzhang Wang
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
| | - Fatemeh Hassannia
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, 600 University Ave, Toronto, Ontario M5G 1X5, Canada
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario M5S 1A8, Canada
| | - Rana Barake
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, 600 University Ave, Toronto, Ontario M5G 1X5, Canada
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario M5S 1A8, Canada
| | - Karen A Gordon
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, 600 University Ave, Toronto, Ontario M5G 1X5, Canada
- Department of Communication Disorders, The Hospital for Sick Children, 555 University Ave, Toronto, Ontario M5G 1X8, Canada
| | - George M Ibrahim
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario M5S 1A8, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, 149 College St, Toronto, Ontario M5T 1P5, Canada
- Institute of Biomedical Engineering, University of Toronto, 164 College St, Toronto, M5S 3G9 Ontario M5S 3G9, Canada
| | - John Rutka
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, 600 University Ave, Toronto, Ontario M5G 1X5, Canada
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario M5S 1A8, Canada
| | - Mojgan Hodaie
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada
- Institute of Medical Science, University of Toronto, 6 Queen's Park Cres, Toronto, Ontario M5S 3H2, Canada
- Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario M5S 1A8, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, 149 College St, Toronto, Ontario M5T 1P5, Canada
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3
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Matchin W, Mollasaraei ZK, Bonilha L, Rorden C, Hickok G, den Ouden D, Fridriksson J. Verbal working memory and syntactic comprehension segregate into the dorsal and ventral streams. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.05.592577. [PMID: 38746328 PMCID: PMC11092776 DOI: 10.1101/2024.05.05.592577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Syntactic processing and verbal working memory are both essential components to sentence comprehension. Nonetheless, the separability of these systems in the brain remains unclear. To address this issue, we performed causal-inference analyses based on lesion and connectome network mapping using MRI and behavioral testing in 103 individuals with chronic post-stroke aphasia. We employed a rhyme judgment task with heavy working memory load without articulatory confounds, controlling for the overall ability to match auditory words to pictures and to perform a metalinguistic rhyme judgment, isolating the effect of working memory load. We assessed noncanonical sentence comprehension, isolating syntactic processing by incorporating residual rhyme judgment performance as a covariate for working memory load. Voxel-based lesion analyses and structural connectome-based lesion symptom mapping controlling for total lesion volume were performed, with permutation testing to correct for multiple comparisons (4,000 permutations). We observed that effects of working memory load localized to dorsal stream damage: posterior temporal-parietal lesions and frontal-parietal white matter disconnections. These effects were differentiated from syntactic comprehension deficits, which were primarily associated with ventral stream damage: lesions to temporal lobe and temporal-parietal white matter disconnections, particularly when incorporating the residual measure of working memory load as a covariate. Our results support the conclusion that working memory and syntactic processing are associated with distinct brain networks, largely loading onto dorsal and ventral streams, respectively.
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Brownsett SLE, Carey LM, Copland D, Walsh A, Sihvonen AJ. Structural brain networks correlating with poststroke cognition. Hum Brain Mapp 2024; 45:e26665. [PMID: 38520376 PMCID: PMC10960554 DOI: 10.1002/hbm.26665] [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: 12/20/2023] [Revised: 03/03/2024] [Accepted: 03/08/2024] [Indexed: 03/25/2024] Open
Abstract
Cognitive deficits are a common and debilitating consequence of stroke, yet our understanding of the structural neurobiological biomarkers predicting recovery of cognition after stroke remains limited. In this longitudinal observational study, we set out to investigate the effect of both focal lesions and structural connectivity on poststroke cognition. Sixty-two patients with stroke underwent advanced brain imaging and cognitive assessment, utilizing the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE), at 3-month and 12-month poststroke. We first evaluated the relationship between lesions and cognition at 3 months using voxel-based lesion-symptom mapping. Next, a novel correlational tractography approach, using multi-shell diffusion-weighted magnetic resonance imaging (MRI) data collected at both time points, was used to evaluate the relationship between the white matter connectome and cognition cross-sectionally at 3 months, and longitudinally (12 minus 3 months). Lesion-symptom mapping did not yield significant findings. In turn, correlational tractography analyses revealed positive associations between both MoCA and MMSE scores and bilateral cingulum and the corpus callosum, both cross-sectionally at the 3-month stage, and longitudinally. These results demonstrate that rather than focal neural structures, a consistent structural connectome underpins the performance of two frequently used cognitive screening tools, the MoCA and the MMSE, in people after stroke. This finding should encourage clinicians and researchers to not only suspect cognitive decline when lesions affect these tracts, but also to refine their investigation of novel approaches to differentially diagnosing pathology associated with cognitive decline, regardless of the aetiology.
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Affiliation(s)
- Sonia L. E. Brownsett
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Leeanne M. Carey
- Occupational Therapy, School of Allied Health Human Services and SportLa Trobe UniversityMelbourneVictoriaAustralia
- Neurorehabilitation and Recovery GroupThe FloreyMelbourneVictoriaAustralia
| | - David Copland
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Alistair Walsh
- Occupational Therapy, School of Allied Health Human Services and SportLa Trobe UniversityMelbourneVictoriaAustralia
- Neurorehabilitation and Recovery GroupThe FloreyMelbourneVictoriaAustralia
| | - Aleksi J. Sihvonen
- Centre of Research Excellence in Aphasia Recovery and RehabilitationLa Trobe UniversityMelbourneVictoriaAustralia
- Queensland Aphasia Research CentreSurgical, Treatment and Rehabilitation Service, University of QueenslandBrisbaneQueenslandAustralia
- School of Health and Rehabilitation SciencesUniversity of QueenslandBrisbaneQueenslandAustralia
- Centre of Excellence in Music, Mind, Body and Brain, Cognitive Brain Research Unit (CBRU)University of HelsinkiHelsinkiFinland
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5
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Silva Pereira S, Özer EE, Sebastian-Galles N. Complexity of STG signals and linguistic rhythm: a methodological study for EEG data. Cereb Cortex 2024; 34:bhad549. [PMID: 38236741 DOI: 10.1093/cercor/bhad549] [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: 08/01/2023] [Revised: 12/29/2023] [Accepted: 12/30/2023] [Indexed: 02/06/2024] Open
Abstract
The superior temporal and the Heschl's gyri of the human brain play a fundamental role in speech processing. Neurons synchronize their activity to the amplitude envelope of the speech signal to extract acoustic and linguistic features, a process known as neural tracking/entrainment. Electroencephalography has been extensively used in language-related research due to its high temporal resolution and reduced cost, but it does not allow for a precise source localization. Motivated by the lack of a unified methodology for the interpretation of source reconstructed signals, we propose a method based on modularity and signal complexity. The procedure was tested on data from an experiment in which we investigated the impact of native language on tracking to linguistic rhythms in two groups: English natives and Spanish natives. In the experiment, we found no effect of native language but an effect of language rhythm. Here, we compare source projected signals in the auditory areas of both hemispheres for the different conditions using nonparametric permutation tests, modularity, and a dynamical complexity measure. We found increasing values of complexity for decreased regularity in the stimuli, giving us the possibility to conclude that languages with less complex rhythms are easier to track by the auditory cortex.
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Affiliation(s)
- Silvana Silva Pereira
- Center for Brain and Cognition, Department of Information and Communications Technologies, Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Ege Ekin Özer
- Center for Brain and Cognition, Department of Information and Communications Technologies, Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Nuria Sebastian-Galles
- Center for Brain and Cognition, Department of Information and Communications Technologies, Universitat Pompeu Fabra, 08005 Barcelona, Spain
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6
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Luo Y, Wang K, Jiao S, Zeng J, Han Z. Distinct parallel activation and interaction between dorsal and ventral pathways during phonological and semantic processing: A cTBS-fMRI study. Hum Brain Mapp 2024; 45:e26569. [PMID: 38224540 PMCID: PMC10785560 DOI: 10.1002/hbm.26569] [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: 08/01/2023] [Revised: 11/09/2023] [Accepted: 12/04/2023] [Indexed: 01/17/2024] Open
Abstract
Successful visual word recognition requires the integration of phonological and semantic information, which is supported by the dorsal and ventral pathways in the brain. However, the functional specialization or interaction of these pathways during phonological and semantic processing remains unclear. Previous research has been limited by its dependence on correlational functional magnetic resonance imaging (fMRI) results or causal validation using patient populations, which are susceptible to confounds such as plasticity and lesion characteristics. To address this, the present study employed continuous theta-burst stimulation combined with fMRI in a within-subject design to assess rapid adaptation in regional activity and functional connectivity of the dorsal and ventral pathways during phonological and semantic tasks. This assessment followed the precise inhibition of the left inferior parietal lobule and anterior temporal lobe in the dorsal and ventral pathways, respectively. Our results reveal that both the dorsal and ventral pathways were activated during phonological and semantic processing, while the adaptation activation and interactive network were modulated by the task type and inhibited region. The two pathways exhibited interconnectivity in phonological processing, and disruption of either pathway led to rapid adaptation across both pathways. In contrast, only the ventral pathway exhibited connectivity in semantic processing, and disruption of this pathway alone resulted in adaptive effects primarily in the ventral pathway. These findings provide essential evidence supporting the interactive theory, phonological information processing in particular, potentially providing meaningful implications for clinical populations.
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Affiliation(s)
- Yudan Luo
- National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Ke Wang
- National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
- School of System ScienceBeijing Normal UniversityBeijingChina
| | - Saiyi Jiao
- National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Jiahong Zeng
- National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Zaizhu Han
- National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
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7
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Mai G, Wang WSY. Distinct roles of delta- and theta-band neural tracking for sharpening and predictive coding of multi-level speech features during spoken language processing. Hum Brain Mapp 2023; 44:6149-6172. [PMID: 37818940 PMCID: PMC10619373 DOI: 10.1002/hbm.26503] [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: 04/28/2023] [Revised: 08/17/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
The brain tracks and encodes multi-level speech features during spoken language processing. It is evident that this speech tracking is dominant at low frequencies (<8 Hz) including delta and theta bands. Recent research has demonstrated distinctions between delta- and theta-band tracking but has not elucidated how they differentially encode speech across linguistic levels. Here, we hypothesised that delta-band tracking encodes prediction errors (enhanced processing of unexpected features) while theta-band tracking encodes neural sharpening (enhanced processing of expected features) when people perceive speech with different linguistic contents. EEG responses were recorded when normal-hearing participants attended to continuous auditory stimuli that contained different phonological/morphological and semantic contents: (1) real-words, (2) pseudo-words and (3) time-reversed speech. We employed multivariate temporal response functions to measure EEG reconstruction accuracies in response to acoustic (spectrogram), phonetic and phonemic features with the partialling procedure that singles out unique contributions of individual features. We found higher delta-band accuracies for pseudo-words than real-words and time-reversed speech, especially during encoding of phonetic features. Notably, individual time-lag analyses showed that significantly higher accuracies for pseudo-words than real-words started at early processing stages for phonetic encoding (<100 ms post-feature) and later stages for acoustic and phonemic encoding (>200 and 400 ms post-feature, respectively). Theta-band accuracies, on the other hand, were higher when stimuli had richer linguistic content (real-words > pseudo-words > time-reversed speech). Such effects also started at early stages (<100 ms post-feature) during encoding of all individual features or when all features were combined. We argue these results indicate that delta-band tracking may play a role in predictive coding leading to greater tracking of pseudo-words due to the presence of unexpected/unpredicted semantic information, while theta-band tracking encodes sharpened signals caused by more expected phonological/morphological and semantic contents. Early presence of these effects reflects rapid computations of sharpening and prediction errors. Moreover, by measuring changes in EEG alpha power, we did not find evidence that the observed effects can be solitarily explained by attentional demands or listening efforts. Finally, we used directed information analyses to illustrate feedforward and feedback information transfers between prediction errors and sharpening across linguistic levels, showcasing how our results fit with the hierarchical Predictive Coding framework. Together, we suggest the distinct roles of delta and theta neural tracking for sharpening and predictive coding of multi-level speech features during spoken language processing.
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Affiliation(s)
- Guangting Mai
- Hearing Theme, National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
- Academic Unit of Mental Health and Clinical Neurosciences, School of Medicine, The University of Nottingham, Nottingham, UK
- Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - William S-Y Wang
- Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong
- Language Engineering Laboratory, The Chinese University of Hong Kong, Hong Kong, China
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8
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Kinno R, Muragaki Y, Maruyama T, Tamura M, Ono K, Tanaka K, Sakai KL. Diffuse glioma-induced structural reorganization in close association with preexisting syntax-related networks. Cortex 2023; 167:283-302. [PMID: 37586138 DOI: 10.1016/j.cortex.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 06/16/2023] [Accepted: 07/14/2023] [Indexed: 08/18/2023]
Abstract
Glioma in the left frontal cortex has been reported to cause agrammatic comprehension and induce global functional connectivity alterations within the syntax-related networks. However, it remains unclear to what extent the structural reorganization is affected by preexisting syntax-related networks. We examined 28 patients with a diffuse glioma in the left hemisphere and 23 healthy participants. Syntactic abilities were assessed by a picture-sentence matching task with various sentence types. The lesion responsible for agrammatic comprehension was identified by region-of-interest-based lesion-symptom mapping (RLSM). Cortical structural alterations were examined by surface-based morphometry (SBM), in which the cortical thickness and fractal dimension were measured with three-dimensional magnetic resonance imaging (MRI). Fiber tracking on the human population-averaged diffusion MRI template was performed to examine whether the cortical structural alterations were associated with the syntax-related networks. The RLSM revealed associations between agrammatic comprehension and a glioma in the posterior limb of the left internal capsule. The SBM demonstrated that decreased cortical thickness and/or increased complexity of the right posterior insula were associated not only with agrammatic comprehension of the patients but also with the syntactic abilities of healthy participants. The fiber tracking revealed that the route between these two regions was anatomically integrated into the preexisting syntax-related networks previously identified. These results suggest a potential association between agrammatic comprehension in patients with diffuse glioma and structural variations in specific tracts and cortical regions, which may be closely related to the syntax-related networks.
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Affiliation(s)
- Ryuta Kinno
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan; Division of Neurology, Department of Internal Medicine, Showa University Northern Yokohama Hospital, Yokohama, Japan.
| | - Yoshihiro Muragaki
- Department of Neurosurgery, Tokyo Women's Medical University, Tokyo, Japan
| | - Takashi Maruyama
- Department of Neurosurgery, Tokyo Women's Medical University, Tokyo, Japan
| | - Manabu Tamura
- Department of Neurosurgery, Tokyo Women's Medical University, Tokyo, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan; Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kyohei Tanaka
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Kuniyoshi L Sakai
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
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9
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Kovács P, Szalárdy O, Winkler I, Tóth B. Two effects of perceived speaker similarity in resolving the cocktail party situation - ERPs and functional connectivity. Biol Psychol 2023; 182:108651. [PMID: 37517603 DOI: 10.1016/j.biopsycho.2023.108651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/15/2023] [Accepted: 07/24/2023] [Indexed: 08/01/2023]
Abstract
Following a speaker in multi-talker environments requires the listener to separate the speakers' voices and continuously focus attention on one speech stream. While the dissimilarity of voices may make speaker separation easier, it may also affect maintaining the focus of attention. To assess these effects, electrophysiological (EEG) and behavioral data were collected from healthy young adults while they listened to two concurrent speech streams performing an online lexical detection task and an offline recognition memory task. Perceptual speaker similarity was manipulated on four levels: identical, similar, dissimilar, and opposite-gender speakers. Behavioral and electrophysiological data suggested that, while speaker similarity hinders auditory stream segregation, dissimilarity hinders maintaining the focus of attention by making the to-be-ignored speech stream more distracting. Thus, resolving the cocktail party situation poses different problems at different levels of perceived speaker similarity, resulting in different listening strategies.
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Affiliation(s)
- Petra Kovács
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary; Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
| | - Orsolya Szalárdy
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary; Institute of Behavioural Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Brigitta Tóth
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
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10
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Chang Y, Halai AD, Lambon Ralph MA. Distance-dependent distribution thresholding in probabilistic tractography. Hum Brain Mapp 2023; 44:4064-4076. [PMID: 37145963 PMCID: PMC10258532 DOI: 10.1002/hbm.26330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/13/2023] [Accepted: 04/20/2023] [Indexed: 05/07/2023] Open
Abstract
Tractography is widely used in human studies of connectivity with respect to every brain region, function, and is explored developmentally, in adulthood, ageing, and in disease. However, the core issue of how to systematically threshold, taking into account the inherent differences in connectivity values for different track lengths, and to do this in a comparable way across studies has not been solved. By utilising 54 healthy individuals' diffusion-weighted image data taken from HCP, this study adopted Monte Carlo derived distance-dependent distributions (DDDs) to generate distance-dependent thresholds with various levels of alpha for connections of varying lengths. As a test case, we applied the DDD approach to generate a language connectome. The resulting connectome showed both short- and long-distance structural connectivity in the close and distant regions as expected for the dorsal and ventral language pathways, consistent with the literature. The finding demonstrates that the DDD approach is feasible to generate data-driven DDDs for common thresholding and can be used for both individual and group thresholding. Critically, it offers a standard method that can be applied to various probabilistic tracking datasets.
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Affiliation(s)
- Ya‐Ning Chang
- Miin Wu School of ComputingNational Cheng Kung UniversityTainanTaiwan
- MRC Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUK
| | - Ajay D. Halai
- MRC Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUK
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11
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Woolnough O, Donos C, Murphy E, Rollo PS, Roccaforte ZJ, Dehaene S, Tandon N. Spatiotemporally distributed frontotemporal networks for sentence reading. Proc Natl Acad Sci U S A 2023; 120:e2300252120. [PMID: 37068244 PMCID: PMC10151604 DOI: 10.1073/pnas.2300252120] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/14/2023] [Indexed: 04/19/2023] Open
Abstract
Reading a sentence entails integrating the meanings of individual words to infer more complex, higher-order meaning. This highly rapid and complex human behavior is known to engage the inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) in the language-dominant hemisphere, yet whether there are distinct contributions of these regions to sentence reading is still unclear. To probe these neural spatiotemporal dynamics, we used direct intracranial recordings to measure neural activity while reading sentences, meaning-deficient Jabberwocky sentences, and lists of words or pseudowords. We isolated two functionally and spatiotemporally distinct frontotemporal networks, each sensitive to distinct aspects of word and sentence composition. The first distributed network engages the IFG and MTG, with IFG activity preceding MTG. Activity in this network ramps up over the duration of a sentence and is reduced or absent during Jabberwocky and word lists, implying its role in the derivation of sentence-level meaning. The second network engages the superior temporal gyrus and the IFG, with temporal responses leading those in frontal lobe, and shows greater activation for each word in a list than those in sentences, suggesting that sentential context enables greater efficiency in the lexical and/or phonological processing of individual words. These adjacent, yet spatiotemporally dissociable neural mechanisms for word- and sentence-level processes shed light on the richly layered semantic networks that enable us to fluently read. These results imply distributed, dynamic computation across the frontotemporal language network rather than a clear dichotomy between the contributions of frontal and temporal structures.
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Affiliation(s)
- Oscar Woolnough
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Cristian Donos
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Faculty of Physics, University of Bucharest, 050663Bucharest, Romania
| | - Elliot Murphy
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Patrick S. Rollo
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Zachary J. Roccaforte
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
| | - Stanislas Dehaene
- Cognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, NeuroSpin Center, 91191Gif-sur-Yvette, France
- Collège de France, 75005Paris, France
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX77030
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX77030
- Memorial Hermann Hospital, Texas Medical Center, Houston, TX77030
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12
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Zhu H, Fitzhugh MC, Keator LM, Johnson L, Rorden C, Bonilha L, Fridriksson J, Rogalsky C. How can graph theory inform the dual-stream model of speech processing? a resting-state fMRI study of post-stroke aphasia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.17.537216. [PMID: 37131756 PMCID: PMC10153155 DOI: 10.1101/2023.04.17.537216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The dual-stream model of speech processing has been proposed to represent the cortical networks involved in speech comprehension and production. Although it is arguably the prominent neuroanatomical model of speech processing, it is not yet known if the dual-stream model represents actual intrinsic functional brain networks. Furthermore, it is unclear how disruptions after a stroke to the functional connectivity of the dual-stream model's regions are related to specific types of speech production and comprehension impairments seen in aphasia. To address these questions, in the present study, we examined two independent resting-state fMRI datasets: (1) 28 neurotypical matched controls and (2) 28 chronic left-hemisphere stroke survivors with aphasia collected at another site. Structural MRI, as well as language and cognitive behavioral assessments, were collected. Using standard functional connectivity measures, we successfully identified an intrinsic resting-state network amongst the dual-stream model's regions in the control group. We then used both standard functional connectivity analyses and graph theory approaches to determine how the functional connectivity of the dual-stream network differs in individuals with post-stroke aphasia, and how this connectivity may predict performance on clinical aphasia assessments. Our findings provide strong evidence that the dual-stream model is an intrinsic network as measured via resting-state MRI, and that weaker functional connectivity of the hub nodes of the dual-stream network defined by graph theory methods, but not overall average network connectivity, is weaker in the stroke group than in the control participants. Also, the functional connectivity of the hub nodes predicted specific types of impairments on clinical assessments. In particular, the relative strength of connectivity of the right hemisphere's homologues of the left dorsal stream hubs to the left dorsal hubs versus right ventral stream hubs is a particularly strong predictor of post-stroke aphasia severity and symptomology.
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Kovács P, Tóth B, Honbolygó F, Szalárdy O, Kohári A, Mády K, Magyari L, Winkler I. Speech prosody supports speaker selection and auditory stream segregation in a multi-talker situation. Brain Res 2023; 1805:148246. [PMID: 36657631 DOI: 10.1016/j.brainres.2023.148246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 01/06/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023]
Abstract
To process speech in a multi-talker environment, listeners need to segregate the mixture of incoming speech streams and focus their attention on one of them. Potentially, speech prosody could aid the segregation of different speakers, the selection of the desired speech stream, and detecting targets within the attended stream. For testing these issues, we recorded behavioral responses and extracted event-related potentials and functional brain networks from electroencephalographic signals recorded while participants listened to two concurrent speech streams, performing a lexical detection and a recognition memory task in parallel. Prosody manipulation was applied to the attended speech stream in one group of participants and to the ignored speech stream in another group. Naturally recorded speech stimuli were either intact, synthetically F0-flattened, or prosodically suppressed by the speaker. Results show that prosody - especially the parsing cues mediated by speech rate - facilitates stream selection, while playing a smaller role in auditory stream segmentation and target detection.
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Affiliation(s)
- Petra Kovács
- Department of Cognitive Science, Budapest University of Technology and Economics, Hungary
| | - Brigitta Tóth
- Institute of Cognitive Neuroscience and Psychology, Research Center for Natural Sciences, Hungary.
| | - Ferenc Honbolygó
- Brain Imaging Center, Research Center for Natural Sciences, Hungary
| | - Orsolya Szalárdy
- Institute of Cognitive Neuroscience and Psychology, Research Center for Natural Sciences, Hungary; Institute of Behavioural Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Anna Kohári
- Research Group of Phonetics, Institute for General and Hungarian Linguistics, Hungarian Research Centre for Linguistics, Hungary
| | - Katalin Mády
- Research Group of Phonetics, Institute for General and Hungarian Linguistics, Hungarian Research Centre for Linguistics, Hungary
| | - Lilla Magyari
- Department of Social Studies, Faculty of Social Sciences, University of Stavanger, Stavanger, Norway; Norwegian Centre for Reading Education and Research, Faculty of Arts and Education, University of Stavanger, Stavanger, Norway
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Center for Natural Sciences, Hungary
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14
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Shekari E, Nozari N. A narrative review of the anatomy and function of the white matter tracts in language production and comprehension. Front Hum Neurosci 2023; 17:1139292. [PMID: 37051488 PMCID: PMC10083342 DOI: 10.3389/fnhum.2023.1139292] [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: 01/06/2023] [Accepted: 02/24/2023] [Indexed: 03/28/2023] Open
Abstract
Much is known about the role of cortical areas in language processing. The shift towards network approaches in recent years has highlighted the importance of uncovering the role of white matter in connecting these areas. However, despite a large body of research, many of these tracts' functions are not well-understood. We present a comprehensive review of the empirical evidence on the role of eight major tracts that are hypothesized to be involved in language processing (inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, extreme capsule, middle longitudinal fasciculus, superior longitudinal fasciculus, arcuate fasciculus, and frontal aslant tract). For each tract, we hypothesize its role based on the function of the cortical regions it connects. We then evaluate these hypotheses with data from three sources: studies in neurotypical individuals, neuropsychological data, and intraoperative stimulation studies. Finally, we summarize the conclusions supported by the data and highlight the areas needing further investigation.
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Affiliation(s)
- Ehsan Shekari
- Department of Neuroscience, Iran University of Medical Sciences, Tehran, Iran
| | - Nazbanou Nozari
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States
- Center for the Neural Basis of Cognition (CNBC), Pittsburgh, PA, United States
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15
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Wagley N, Booth JR. Neural pathways of phonological and semantic processing and its relations to children's reading skills. Front Neurosci 2022; 16:984328. [PMID: 36312011 PMCID: PMC9597189 DOI: 10.3389/fnins.2022.984328] [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: 07/01/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Behavioral research shows that children's phonological ability is strongly associated with better word reading skills, whereas semantic knowledge is strongly related to better reading comprehension. However, most neuroscience research has investigated how brain activation during phonological and semantic processing is related to word reading skill. This study examines if connectivity during phonological processing in the dorsal inferior frontal gyrus (dIFG) to posterior superior temporal gyrus (pSTG) pathway is related to word reading skill, whereas connectivity during semantic processing in the ventral inferior frontal gyrus (vIFG) to posterior middle temporal gyrus (pMTG) pathway is related to reading comprehension skill. We used behavioral and functional magnetic resonance imaging (fMRI) data from a publicly accessible dataset on OpenNeuro.org. The research hypotheses and analytical plan were pre-registered on the Open Science Framework. Forty-six children ages 8-15 years old were included in the final analyses. Participants completed an in-scanner reading task tapping into phonology (i.e., word rhyming) and semantics (i.e., word meaning) as well as standardized measures of word reading and reading comprehension skill. In a series of registered and exploratory analyses, we correlated connectivity coefficients from generalized psychophysiological interactions (gPPI) with behavioral measures and used z-scores to test the equality of two correlation coefficients. Results from the preregistered and exploratory analyses indicated weak evidence that functional connectivity of dIFG to pSTG during phonological processing is positively correlated with better word reading skill, but no evidence that connectivity in the vIFG-pMTG pathway during semantic processing is related to better reading comprehension skill. Moreover, there was no evidence to support the differentiation between the dorsal pathway's relation to word reading and the ventral pathway's relation to reading comprehension skills. Our finding suggesting the importance of phonological processing to word reading is in line with prior behavioral and neurodevelopmental models.
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Affiliation(s)
- Neelima Wagley
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States
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16
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Zhao J, Li Y, Zhang X, Yuan Y, Cheng Y, Hou J, Duan G, Liu B, Wang J, Wu D. Alteration of network connectivity in stroke patients with apraxia of speech after tDCS: A randomized controlled study. Front Neurol 2022; 13:969786. [PMID: 36188376 PMCID: PMC9521848 DOI: 10.3389/fneur.2022.969786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/22/2022] [Indexed: 11/26/2022] Open
Abstract
Objective This study aimed to examine the changes in the functional connectivity of the cortical speech articulation network after anodal transcranial direct current stimulation (A-tDCS) over the left lip region of the primary motor cortex (M1) in subacute post-stroke patients with apraxia of speech (AoS), and the effect of A-tDCS on AoS. Methods A total of 24 patients with post-stroke AoS were randomized into two groups and received A-tDCS over the left lip region of M1 (tDCS group)/ sham tDCS (control group) as well as speech and language therapy two times per day for 5 days. Before and after the treatment, the AoS assessments and electroencephalogram (EEG) were evaluated. The cortical interconnections were measured using the EEG non-linear index of cross approximate entropy (C-ApEn). Results The analysis of EEG showed that, after the treatment, the activated connectivity was all in the left hemisphere, and not only regions in the speech articulation network but also in the dorsal lateral prefrontal cortex (DLPFC) in the domain-general network were activated in the tDCS group. In contrast, the connectivity was confined to the right hemisphere and between bilateral DLPFC and bilateral inferior frontal gyrus (IFG) in the control group. In AoS assessments, the tDCS group improved significantly more than the control group in four of the five subtests. The results of multivariate linear regression analyses showed that only the group was significantly associated with the improvement of word repetition (P = 0.002). Conclusion A-tDCS over the left lip region of M1 coupled with speech therapy could upregulate the connectivity of both speech-specific and domain-general networks in the left hemisphere. The improved articulation performance in patients with post-stroke AoS might be related to the enhanced connectivity of networks in the left hemisphere induced by tDCS. Clinical trial registration ChiCTR-TRC-14005072.
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Affiliation(s)
- Jiayi Zhao
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Yuanyuan Li
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Xu Zhang
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Ying Yuan
- Department of Rehabilitation, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Yinan Cheng
- Department of Rehabilitation, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Jun Hou
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Guoping Duan
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Baohu Liu
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
| | - Jie Wang
- Department of Rehabilitation, Xuanwu Hospital Capital Medical University, Beijing, China
- Jie Wang
| | - Dongyu Wu
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Science, Beijing, China
- *Correspondence: Dongyu Wu
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17
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Paunov AM, Blank IA, Jouravlev O, Mineroff Z, Gallée J, Fedorenko E. Differential Tracking of Linguistic vs. Mental State Content in Naturalistic Stimuli by Language and Theory of Mind (ToM) Brain Networks. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:413-440. [PMID: 37216061 PMCID: PMC10158571 DOI: 10.1162/nol_a_00071] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 04/11/2022] [Indexed: 05/24/2023]
Abstract
Language and social cognition, especially the ability to reason about mental states, known as theory of mind (ToM), are deeply related in development and everyday use. However, whether these cognitive faculties rely on distinct, overlapping, or the same mechanisms remains debated. Some evidence suggests that, by adulthood, language and ToM draw on largely distinct-though plausibly interacting-cortical networks. However, the broad topography of these networks is similar, and some have emphasized the importance of social content / communicative intent in the linguistic signal for eliciting responses in the language areas. Here, we combine the power of individual-subject functional localization with the naturalistic-cognition inter-subject correlation approach to illuminate the language-ToM relationship. Using functional magnetic resonance imaging (fMRI), we recorded neural activity as participants (n = 43) listened to stories and dialogues with mental state content (+linguistic, +ToM), viewed silent animations and live action films with mental state content but no language (-linguistic, +ToM), or listened to an expository text (+linguistic, -ToM). The ToM network robustly tracked stimuli rich in mental state information regardless of whether mental states were conveyed linguistically or non-linguistically, while tracking a +linguistic / -ToM stimulus only weakly. In contrast, the language network tracked linguistic stimuli more strongly than (a) non-linguistic stimuli, and than (b) the ToM network, and showed reliable tracking even for the linguistic condition devoid of mental state content. These findings suggest that in spite of their indisputably close links, language and ToM dissociate robustly in their neural substrates-and thus plausibly cognitive mechanisms-including during the processing of rich naturalistic materials.
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Affiliation(s)
- Alexander M. Paunov
- Department of Brain and Cognitive Sciences, MIT, Cambridge, USA
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin Center, 91191Gif/Yvette, France
| | - Idan A. Blank
- Department of Brain and Cognitive Sciences, MIT, Cambridge, USA
- Department of Psychology, UCLA, Los Angeles, CA, USA
| | - Olessia Jouravlev
- Department of Brain and Cognitive Sciences, MIT, Cambridge, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
- Institute for Cognitive Science, Carleton University, Ottawa, ON, Canada
| | - Zachary Mineroff
- Department of Brain and Cognitive Sciences, MIT, Cambridge, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
- Eberly Center for Teaching Excellence & Educational Innovation, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Jeanne Gallée
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA, USA
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, MIT, Cambridge, USA
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA, USA
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18
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Hwang YE, Kim YB, Son YD. Finding Cortical Subregions Regarding the Dorsal Language Pathway Based on the Structural Connectivity. Front Hum Neurosci 2022; 16:784340. [PMID: 35585994 PMCID: PMC9108242 DOI: 10.3389/fnhum.2022.784340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 04/01/2022] [Indexed: 11/13/2022] Open
Abstract
Although the language-related fiber pathways in the human brain, such as the superior longitudinal fasciculus (SLF) and arcuate fasciculus (AF), are already well-known, understanding more sophisticated cortical regions connected by the fiber tracts is essential to scrutinize the structural connectivity of language circuits. With the regions of interest that were selected based on the Brainnetome atlas, the fiber orientation distribution estimation method for tractography was used to produce further elaborate connectivity information. The results indicated that both fiber bundles had two distinct connections with the prefrontal cortex (PFC). The SLF-II and dorsal AF are mainly connected to the rostrodorsal part of the inferior parietal cortex (IPC) and lateral part of the fusiform gyrus with the inferior frontal junction (IFJ), respectively. In contrast, the SLF-III and ventral AF were primarily linked to the anterior part of the supramarginal gyrus and superior part of the temporal cortex with the inferior frontal cortex, including the Broca's area. Moreover, the IFJ in the PFC, which has rarely been emphasized as a language-related subregion, also had the strongest connectivity with the previously known language-related subregions among the PFC; consequently, we proposed that these specific regions are interconnected via the SLF and AF within the PFC, IPC, and temporal cortex as language-related circuitry.
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Affiliation(s)
- Young-Eun Hwang
- Neuroscience Convergence Center, Korea University, Seoul, South Korea
- Department of Health Sciences and Technology, Gachion Advanced Institute for Health Sciences & Technology (GAHIST), Gachon University, Incheon, South Korea
- Department of Biomedical Engineering, Gachon University, Incheon, South Korea
| | - Young-Bo Kim
- Department of Neurosurgery, Gil Medical Center, College of Medicine, Gachon University, Incheon, South Korea
| | - Young-Don Son
- Department of Health Sciences and Technology, Gachion Advanced Institute for Health Sciences & Technology (GAHIST), Gachon University, Incheon, South Korea
- Department of Biomedical Engineering, Gachon University, Incheon, South Korea
- *Correspondence: Young-Don Son
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19
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Sefcikova V, Sporrer JK, Juvekar P, Golby A, Samandouras G. Converting sounds to meaning with ventral semantic language networks: integration of interdisciplinary data on brain connectivity, direct electrical stimulation and clinical disconnection syndromes. Brain Struct Funct 2022; 227:1545-1564. [PMID: 35267079 PMCID: PMC9098557 DOI: 10.1007/s00429-021-02438-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 12/01/2021] [Indexed: 02/05/2023]
Abstract
Numerous traditional linguistic theories propose that semantic language pathways convert sounds to meaningful concepts, generating interpretations ranging from simple object descriptions to communicating complex, analytical thinking. Although the dual-stream model of Hickok and Poeppel is widely employed, proposing a dorsal stream, mapping speech sounds to articulatory/phonological networks, and a ventral stream, mapping speech sounds to semantic representations, other language models have been proposed. Indeed, despite seemingly congruent models of semantic language pathways, research outputs from varied specialisms contain only partially congruent data, secondary to the diversity of applied disciplines, ranging from fibre dissection, tract tracing, and functional neuroimaging to neuropsychiatry, stroke neurology, and intraoperative direct electrical stimulation. The current review presents a comprehensive, interdisciplinary synthesis of the ventral, semantic connectivity pathways consisting of the uncinate, middle longitudinal, inferior longitudinal, and inferior fronto-occipital fasciculi, with special reference to areas of controversies or consensus. This is achieved by describing, for each tract, historical concept evolution, terminations, lateralisation, and segmentation models. Clinical implications are presented in three forms: (a) functional considerations derived from normal subject investigations, (b) outputs of direct electrical stimulation during awake brain surgery, and (c) results of disconnection syndromes following disease-related lesioning. The current review unifies interpretation of related specialisms and serves as a framework/thinking model for additional research on language data acquisition and integration.
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Affiliation(s)
- Viktoria Sefcikova
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Juliana K Sporrer
- UCL Queen Square Institute of Neurology, University College London, London, UK.
| | - Parikshit Juvekar
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexandra Golby
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George Samandouras
- UCL Queen Square Institute of Neurology, University College London, London, UK.,Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK
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20
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Giampiccolo D, Duffau H. Controversy over the temporal cortical terminations of the left arcuate fasciculus: a reappraisal. Brain 2022; 145:1242-1256. [PMID: 35142842 DOI: 10.1093/brain/awac057] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 12/19/2021] [Accepted: 01/20/2022] [Indexed: 11/12/2022] Open
Abstract
The arcuate fasciculus has been considered a major dorsal fronto-temporal white matter pathway linking frontal language production regions with auditory perception in the superior temporal gyrus, the so-called Wernicke's area. In line with this tradition, both historical and contemporary models of language function have assigned primacy to superior temporal projections of the arcuate fasciculus. However, classical anatomical descriptions and emerging behavioural data are at odds with this assumption. On one hand, fronto-temporal projections to Wernicke's area may not be unique to the arcuate fasciculus. On the other hand, dorsal stream language deficits have been reported also for damage to middle, inferior and basal temporal gyri which may be linked to arcuate disconnection. These findings point to a reappraisal of arcuate projections in the temporal lobe. Here, we review anatomical and functional evidence regarding the temporal cortical terminations of the left arcuate fasciculus by incorporating dissection and tractography findings with stimulation data using cortico-cortical evoked potentials and direct electrical stimulation mapping in awake patients. Firstly, we discuss the fibers of the arcuate fasciculus projecting to the superior temporal gyrus and the functional rostro-caudal gradient in this region where both phonological encoding and auditory-motor transformation may be performed. Caudal regions within the temporoparietal junction may be involved in articulation and associated with temporoparietal projections of the third branch of the superior longitudinal fasciculus, while more rostral regions may support encoding of acoustic phonetic features, supported by arcuate fibres. We then move to examine clinical data showing that multimodal phonological encoding is facilitated by projections of the arcuate fasciculus to superior, but also middle, inferior and basal temporal regions. Hence, we discuss how projections of the arcuate fasciculus may contribute to acoustic (middle-posterior superior and middle temporal gyri), visual (posterior inferior temporal/fusiform gyri comprising the visual word form area) and lexical (anterior-middle inferior temporal/fusiform gyri in the basal temporal language area) information in the temporal lobe to be processed, encoded and translated into a dorsal phonological route to the frontal lobe. Finally, we point out surgical implications for this model in terms of the prediction and avoidance of neurological deficit.
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Affiliation(s)
- Davide Giampiccolo
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University Hospital, Verona, Italy.,Institute of Neuroscience, Cleveland Clinic London, Grosvenor Place, London, UK.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.,Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,Team "Neuroplasticity, Stem Cells and Low-grade Gliomas," INSERM U1191, Institute of Genomics of Montpellier, University of Montpellier, Montpellier, France
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21
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Mahdy Ali K, Avesani P. The vertical superior longitudinal fascicle and the vertical occipital fascicle. J Neurosurg Sci 2022; 65:581-589. [PMID: 35128919 DOI: 10.23736/s0390-5616.21.05368-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Association fibers of the human brain have long been considered to exclusively follow an anterior-posterior direction. Using magnetic resonance imaging techniques that allow in-vivo fiber dissection, vertically oriented association fibers have been rediscovered or newly described. Aside from the frontal aslant tract (FAT) in the frontal lobe, the vertical occipital fascicle (VOF) and the vertical portion of the superior longitudinal fascicle system (vSLF) have been studied in recent years. The aim of this review was to give an overview on the current knowledge regarding these two fiber tracts. A review of the available literature in the Medline database was conducted to gather all available publications dealing with either the VOF or the vSLF. One thousand two hundred seventy-three articles were obtained from the literature search of which a total of 71 articles met the final inclusion criteria of this review. We describe the history of the discovery of the respective fiber tract, its anatomical course and its boundaries integrating blunt fiber dissection studies and functional MRI/tractography studies. We discuss the functional properties of the respective fiber tract and its relevance in neurosurgery. The VOF is a fiber tract that has been discovered in the late XIX century and long been forgotten before being rediscovered in the 1970's. It lies lateral to the fibers of the sagittal stratum and mainly connects the superior and inferior occipital lobe. It plays a major role in reading and visual word and language comprehension and is said to be the main link between dorsal and ventral visual streams. The vSLF has many synonyms and is part of the superior longitudinal fascicle system. Recent studies were able to provide more insight into this set of fiber tracts showing distinct connections running from the superior and inferior parietal lobule to the posterior part of the temporal lobe. Its functional role is still not completely cleared. It is said to play a role in visual and auditory semantic language comprehension. It lies directly lateral to the arcuate fascicle. The VOF and the vSLF are vertically oriented fiber tracts connecting the temporo-parieto-occipital region and play a major role in the communication of dorsal and ventral visual streams (VOF), reading (VOF, vSLF) and visual and auditory semantic language comprehension (vSLF). They can consistently be identified using ex vivo blunt dissection techniques and in-vivo fiber tractography. Because of their localization and orientation these two fiber tracts can be combined to a fiber bundle system called posterior transverse system (PTS).
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Affiliation(s)
- Kariem Mahdy Ali
- Department of Neurosurgery, Medical University of Graz, Graz, Austria -
| | - Paolo Avesani
- Center for Information Technology, Fondazione Bruno Kessler (FBK), Trento, Italy
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22
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Landers MJ, Baene WD, Rutten GJ, Mandonnet E. The third branch of the superior longitudinal system. J Neurosurg Sci 2022; 65:548-559. [PMID: 35128918 DOI: 10.23736/s0390-5616.21.05423-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
One of the major associative fiber pathways in the brain is the superior longitudinal system. This review discusses the current knowledge gained from studies on the third branch of the superior longitudinal system (SLS) regarding its anatomy, functional role in healthy individuals, results from lesion-symptom mapping studies and intraoperative electrostimulation studies. The results of these studies clearly indicate that the third branch of the SLS is a distinct pathway, as seen both from a functional and anatomical perspective. The third branch of the SLS should be distinguished from the long segment of the arcuate fasciculus, that courses along its trajectory but seems implicated in different functions. Moreover, these studies also provide substantial evidence that the right and left third branch of the SLS have different functional roles. Finally, a hypothesis for an integrated anatomo-functional model is proposed, that describes three subcomponents of the third branch of the superior longitudinal system.
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Affiliation(s)
- Maud J Landers
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, the Netherlands.,Department of Cognitive Neuropsychology, University of Tilburg, Tilburg, the Netherlands
| | - Wouter de Baene
- Department of Cognitive Neuropsychology, University of Tilburg, Tilburg, the Netherlands
| | - Geert J Rutten
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, the Netherlands.,Department of Cognitive Neuropsychology, University of Tilburg, Tilburg, the Netherlands
| | - Emmanuel Mandonnet
- University of Paris, Paris, France - .,Frontlab, Institut du Cerveau (ICM), CNRS UMR 7225, INSERM U1127, Paris, France.,Service of Neurosurgery, Lariboisière Hospital, Paris, France
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23
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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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Sasabayashi D, Takayanagi Y, Takahashi T, Furuichi A, Kobayashi H, Noguchi K, Suzuki M. Increased brain gyrification and subsequent relapse in patients with first-episode schizophrenia. Front Psychiatry 2022; 13:937605. [PMID: 36032231 PMCID: PMC9406142 DOI: 10.3389/fpsyt.2022.937605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
Most schizophrenia patients experience psychotic relapses, which may compromise long-term outcome. However, it is difficult to objectively assess the actual risk of relapse for each patient as the biological changes underlying relapse remain unknown. The present study used magnetic resonance imaging (MRI) to investigate the relationship between brain gyrification pattern and subsequent relapse in patients with first-episode schizophrenia. The subjects consisted of 19 patients with and 33 patients without relapse during a 3-year clinical follow-up after baseline MRI scanning. Using FreeSurfer software, we compared the local gyrification index (LGI) between the relapsed and non-relapsed groups. In the relapsed group, we also explored the relationship among LGI and the number of relapses and time to first relapse after MRI scanning. Relapsed patients exhibited a significantly higher LGI in the bilateral parietal and left occipital areas than non-relapsed patients. In addition, the time to first relapse was negatively correlated with LGI in the right inferior temporal cortex. These findings suggest that increased LGI in the temporo-parieto-occipital regions in first-episode schizophrenia patients may be a potential prognostic biomarker that reflects relapse susceptibility in the early course of the illness.
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Affiliation(s)
- Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Arisawabashi Hospital, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Haruko Kobayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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Fekonja LS, Wang Z, Doppelbauer L, Vajkoczy P, Picht T, Pulvermüller F, Dreyer FR. Lesion-symptom mapping of language impairments in patients suffering from left perisylvian gliomas. Cortex 2021; 144:1-14. [PMID: 34537591 DOI: 10.1016/j.cortex.2021.08.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/10/2021] [Accepted: 08/02/2021] [Indexed: 11/30/2022]
Abstract
Brain tumors cause local structural impairments of the cerebral network. Moreover, brain tumors can also affect functional brain networks more distant from the lesion. In this study, we analyzed the impact of glioma WHO grade II-IV tumors on grey and white matter in relation to impaired language function. In a retrospective analysis of 60 patients, 14 aphasic and 46 non-aphasic, voxel-based lesion-symptom mapping (VLSM) was used to identify tumor induced lesions in grey (GM) and white matter (WM) related to patients' performance in subtests of the Aachen Aphasia Test (AAT). Significant clusters were analyzed for atlas-based grey and white matter involvements in relation to different linguistic modalities. VLSM analysis indicated significant contribution of a posterior perisylvian cluster covering WM and GM to AAT performance averaged across subtests. When considering individual AAT subtests, a substantial overlap between significant clusters for analysis of the token test, picture naming and language comprehension results could be observed. The WM-cluster intersections reflect the overall importance of the perisylvian area in language function, similarly to GM participations. Especially the constant high percentages of Heschl's gyrus, superior temporal gyrus, inferior longitudinal and middle longitudinal fascicles, but also arcuate and inferior fronto-occipital fascicles highlight the importance of the posterior perisylvian area for language function.
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Affiliation(s)
- Lucius S Fekonja
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany; Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany.
| | - Ziqian Wang
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lea Doppelbauer
- Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Picht
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany; Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany
| | - Friedemann Pulvermüller
- Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany; Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany
| | - Felix R Dreyer
- Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany; Freie Universität Berlin, Brain Language Laboratory, Department of Philosophy and Humanities, Berlin, Germany; Medical School OWL, Bielefeld University, Bielefeld, Germany
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26
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Higher-Order Language Dysfunctions in Individuals with Alcohol Use Disorder. J Clin Med 2021; 10:jcm10184199. [PMID: 34575309 PMCID: PMC8471652 DOI: 10.3390/jcm10184199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 11/20/2022] Open
Abstract
Patients with alcohol use disorders (AUD) have difficulties with certain aspects of higher-order language functions (HOLF) but there is no data on a wide range of these functions in this group. Therefore, the aim of this study was to compare different aspects of HOLF in patients with AUD and healthy controls (HC). A total of 31 patients with AUD and 44 HC took part in the study. We assessed HOLF with the Right Hemisphere Language Battery (RHLB) and measured control variables: depression using the Patient Health Questionnaire (PHQ) as well as the speed of processing and executive functions with the Color Trails Test (CTT). Patients with AUD had lower results on nine RHLB tests. Moreover, AUD patients had higher scores on PHQ and longer reaction times on CTT. The differences in most RHLB results remained significant after co-varying the control variables. Patients with AUD have difficulties with making inferences from the text, understanding the meaning of individual words, metaphorical content, and prosody, which may impede the comprehension and production of discourse in which linguistic elements must be integrated with non-verbal cues and contextual information. These disturbances may impact various spheres of everyday life and negatively influence social, private, and professional functioning.
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Cheng H, Rao B, Zhang W, Chen R, Peng Y. Increased modularity of the resting-state network in children with nonsyndromic cleft lip and palate after speech rehabilitation. Brain Behav 2021; 11:e02094. [PMID: 34343416 PMCID: PMC8413807 DOI: 10.1002/brb3.2094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/17/2021] [Accepted: 02/18/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Speech therapy is the primary management followed the physical management through surgery for children with nonsyndromic cleft lip and palate (NSCLP). However, the topological pattern of the resting-state network after rehabilitation remains poorly understood. We aimed to explore the functional topological pattern of children with NSCLP after speech rehabilitation compared with healthy controls. METHODS We examined 28 children with NSCLP after speech rehabilitation (age = 10.0 ± 2.3 years) and 28 healthy controls for resting-state functional MRI. We calculated functional connections and the degree strength, betweenness centrality, network clustering coefficient (Cp), characteristic path length (Lp), global network efficiency (Eg), local network efficiency (Eloc), modularity index (Q), module number, and participation coefficient for the between-group differences using two-sample t tests (corrected p < .05). Additionally, we performed a correlation analysis between the Chinese language clear degree scale (CLCDS) scores and topological properties in children with NSCLP. RESULTS We detected significant between-group differences in the areas under the curve (AUCs) of degree strength and betweenness centrality in language-related brain regions. There were no significant between-group differences in module number, participation coefficient, Cp, Lp, Eg, or Eloc. However, the Q (density: 0.05-0.30) and QAUC (t = 2.46, p = .02) showed significant between-group differences. Additionally, there was no significant correlation between topological properties of statistical between-group differences and CLCDS scores. CONCLUSIONS Although nodal metric differences existed in the language-related brain regions, the children with NSCLP after speech rehabilitation had similar global network properties, module numbers, and participation coefficient, but increased modularity. Our results suggested that children with NSCLP achieved speech rehabilitation through function specialization in the language-related brain regions. The resting-state topology pattern could be of substantive neurobiological importance and potential imaging biomarkers for speech rehabilitation.
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Affiliation(s)
- Hua Cheng
- Department of Radiology, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China
| | - Bo Rao
- Departments of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wenjing Zhang
- Department of Oral and Maxillofacial Plastic and Trauma Surgery, Center of Cleft Lip and Palate Treatment, Beijing Stomatological Hospital, Beijing, China
| | - Renji Chen
- Department of Oral and Maxillofacial Plastic and Trauma Surgery, Center of Cleft Lip and Palate Treatment, Beijing Stomatological Hospital, Beijing, China
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China
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28
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Buyanova IS, Arsalidou M. Cerebral White Matter Myelination and Relations to Age, Gender, and Cognition: A Selective Review. Front Hum Neurosci 2021; 15:662031. [PMID: 34295229 PMCID: PMC8290169 DOI: 10.3389/fnhum.2021.662031] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 06/02/2021] [Indexed: 12/22/2022] Open
Abstract
White matter makes up about fifty percent of the human brain. Maturation of white matter accompanies biological development and undergoes the most dramatic changes during childhood and adolescence. Despite the advances in neuroimaging techniques, controversy concerning spatial, and temporal patterns of myelination, as well as the degree to which the microstructural characteristics of white matter can vary in a healthy brain as a function of age, gender and cognitive abilities still exists. In a selective review we describe methods of assessing myelination and evaluate effects of age and gender in nine major fiber tracts, highlighting their role in higher-order cognitive functions. Our findings suggests that myelination indices vary by age, fiber tract, and hemisphere. Effects of gender were also identified, although some attribute differences to methodological factors or social and learning opportunities. Findings point to further directions of research that will improve our understanding of the complex myelination-behavior relation across development that may have implications for educational and clinical practice.
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Affiliation(s)
- Irina S. Buyanova
- Neuropsy Lab, HSE University, Moscow, Russia
- Center for Language and Brain, HSE University, Moscow, Russia
| | - Marie Arsalidou
- Neuropsy Lab, HSE University, Moscow, Russia
- Cognitive Centre, Sirius University of Science and Technology, Sochi, Russia
- Department of Psychology, York University, Toronto, ON, Canada
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29
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Li Z, Yu J, Wang Y, Zhou H, Yang H, Qiao Z. DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. IEEE TRANSACTIONS ON CYBERNETICS 2021; 51:3441-3454. [PMID: 31484151 DOI: 10.1109/tcyb.2019.2933633] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Thin-section magnetic resonance imaging (MRI) can provide higher resolution anatomical structures and more precise clinical information than thick-section images. However, thin-section MRI is not always available due to the imaging cost issue. In multicenter retrospective studies, a large number of data are often in thick-section manner with different section thickness. The lack of thin-section data and the difference in section thickness bring considerable difficulties in the study based on the image big data. In this article, we introduce DeepVolume, a two-step deep learning architecture to address the challenge of accurate thin-section MR image reconstruction. The first stage is the brain structure-aware network, in which the thick-section MR images in axial and sagittal planes are fused by a multitask 3-D U-net with prior knowledge of brain volume segmentation, which encourages the reconstruction result to have correct brain structure. The second stage is the spatial connection-aware network, in which the preliminary reconstruction results are adjusted slice-by-slice by a recurrent convolutional network embedding convolutional long short-term memory (LSTM) block, which enhances the precision of the reconstruction by utilizing the previously unassessed sagittal information. We used 305 paired brain MRI samples with thickness of 1.0 mm and 6.5 mm in this article. Extensive experiments illustrate that DeepVolume can produce the state-of-the-art reconstruction results by embedding more anatomical knowledge. Furthermore, considering DeepVolume as an intermediate step, the practical and clinical value of our method is validated by applying the brain volume estimation and voxel-based morphometry. The results show that DeepVolume can provide much more reliable brain volume estimation in the normalized space based on the thick-section MR images compared with the traditional solutions.
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30
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Hyder R, Jensen M, Højlund A, Kimppa L, Bailey CJ, Schaldemose JL, Kinnerup MB, Østergaard K, Shtyrov Y. Functional connectivity of spoken language processing in early-stage Parkinson's disease: An MEG study. NEUROIMAGE-CLINICAL 2021; 32:102718. [PMID: 34455187 PMCID: PMC8403765 DOI: 10.1016/j.nicl.2021.102718] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 04/01/2021] [Accepted: 06/02/2021] [Indexed: 11/24/2022]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder, well-known for its motor symptoms; however, it also adversely affects cognitive functions, including language, a highly important human ability. PD pathology is associated, even in the early stage of the disease, with alterations in the functional connectivity within cortico-subcortical circuitry of the basal ganglia as well as within cortical networks. Here, we investigated functional cortical connectivity related to spoken language processing in early-stage PD patients. We employed a patient-friendly passive attention-free paradigm to probe neurophysiological correlates of language processing in PD patients without confounds related to active attention and overt motor responses. MEG data were recorded from a group of newly diagnosed PD patients and age-matched healthy controls who were passively presented with spoken word stimuli (action and abstract verbs, as well as grammatically correct and incorrect inflectional forms) while focussing on watching a silent movie. For each of the examined linguistic aspects, a logistic regression classifier was used to classify participants as either PD patients or healthy controls based on functional connectivity within the temporo-fronto-parietal cortical language networks. Classification was successful for action verbs (accuracy = 0.781, p-value = 0.003) and, with lower accuracy, for abstract verbs (accuracy = 0.688, p-value = 0.041) and incorrectly inflected forms (accuracy = 0.648, p-value = 0.021), but not for correctly inflected forms (accuracy = 0.523, p-value = 0.384). Our findings point to quantifiable differences in functional connectivity within the cortical systems underpinning language processing in newly diagnosed PD patients compared to healthy controls, which arise early, in the absence of clinical evidence of deficits in cognitive or general language functions. The techniques presented here may aid future work on establishing neurolinguistic markers to objectively and noninvasively identify functional changes in the brain's language networks even before clinical symptoms emerge.
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Affiliation(s)
- Rasha Hyder
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
| | - Mads Jensen
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Research Unit for Robophilosophy and Integrative Social Robotics, Aarhus University, Denmark
| | - Andreas Højlund
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lilli Kimppa
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Christopher J Bailey
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jeppe L Schaldemose
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Martin B Kinnerup
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Karen Østergaard
- Sano Private Hospital, Denmark; Department of Neurology, Aarhus University Hospital (AUH), Denmark
| | - Yury Shtyrov
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.
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31
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Akama H, Yuan Y, Awazu S. Task-induced brain functional connectivity as a representation of schema for mediating unsupervised and supervised learning dynamics in language acquisition. Brain Behav 2021; 11:e02157. [PMID: 33951344 PMCID: PMC8213930 DOI: 10.1002/brb3.2157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/12/2021] [Accepted: 04/02/2021] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Based on the schema theory advanced by Rumelhart and Norman, we shed light on the individual variability in brain dynamics induced by hybridization of learning methodologies, particularly alternating unsupervised learning and supervised learning in language acquisition. The concept of "schema" implies a latent knowledge structure that a learner holds and updates as intrinsic to his or her cognitive space for guiding the processing of newly arriving information. METHODS We replicated the cognitive experiment of Onnis and Thiessen on implicit statistical learning ability in language acquisition but included additional factors of prosodic variables and explicit supervised learning. Functional magnetic resonance imaging was performed to identify the functional network connections for schema updating by alternately using unsupervised and supervised artificial grammar learning tasks to segment potential words. RESULTS Regardless of the quality of task performance, the default mode network represented the first stage of spontaneous unsupervised learning, and the wrap-up accomplishment for successful subjects of the whole hybrid learning in concurrence with the task-related auditory language networks. Furthermore, subjects who could easily "tune" the schema for recording a high task precision rate resorted even at an early stage to a self-supervised learning, or "superlearning," as a set of different learning mechanisms that act in synergy to trigger widespread neuro-transformation with a focus on the cerebellum. CONCLUSIONS Investigation of the brain dynamics revealed by functional connectivity imaging analysis was able to differentiate the synchronized neural responses with respect to learning methods and the order effect that affects hybrid learning.
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Affiliation(s)
- Hiroyuki Akama
- Institute of Liberal Arts/Department of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Yixin Yuan
- Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.,Division of Autism & Related Disabilities, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Shunji Awazu
- Faculty of Humanities and Social Sciences, Jissen Women's University, Tokyo, Japan
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Zemmoura I, Burkhardt E, Herbet G. The inferior longitudinal fasciculus: anatomy, function and surgical considerations. J Neurosurg Sci 2021; 65:590-604. [PMID: 33940783 DOI: 10.23736/s0390-5616.21.05391-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The inferior longitudinal fasciculus (ILF) is a large association white matter tract that interconnects, in a bidirectional manner, the occipital cortex to anterior temporal structures. In view of both its pattern of cortical projections and its recently evidenced multilayered anatomical organization, the ILF has been supposed to be vital for maintaining a wide range of cognitive and affective processes operating on the visual modality. As tumors commonly damage the temporal cortex, an updated knowledge of the functional anatomy of this ventral tract is needed to better map and monitor online its potential functions and thus to improve surgical outcomes. In this review, we first describe the gross anatomy of the ILF, its array of cortical terminations and its different layers. We then provide a comprehensive review of the functions that have been assigned to the tract. We successively address its role in object and face recognition, visual emotion recognition, language and semantic, including reading, and memory. It is especially shown that the ILF is critically involved in visually-guided behaviors, as its breakdown, both in sudden neurosurgical and progressive neurodegenerative diseases, is commonly associated with visual-specific neuropsychological syndromes (e.g. prosopagnosia and pure alexia, and so on). In the last section, we discuss the extent to which the ILF can reorganize in response to glioma infiltration and to surgery, and provide some reflections on how its intra-operative mapping may be refined.
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Affiliation(s)
- Ilyess Zemmoura
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France - .,CHRU de Tours, Neurosurgery Department, Tours, France -
| | - Eléonor Burkhardt
- Praxiling, CNRS UMR 5267, Paul Valéry Montpellier 3 University, Montpellier, France
| | - Guillaume Herbet
- Institute of Functional Genomics, University of Montpellier, CNRS UMR5203, INSERM U1191, Montpellier, France.,Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
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Pawełczyk A, Łojek E, Żurner N, Gawłowska-Sawosz M, Gębski P, Pawełczyk T. The correlation between white matter integrity and pragmatic language processing in first episode schizophrenia. Brain Imaging Behav 2021; 15:1068-1084. [PMID: 32710335 PMCID: PMC8032571 DOI: 10.1007/s11682-020-00314-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Objective: Higher-order language disturbances could be the result of white matter tract abnormalities. The study explores the relationship between white matter and pragmatic skills in first-episode schizophrenia. Methods: Thirty-four first-episode patients with schizophrenia and 32 healthy subjects participated in a pragmatic language and Diffusion Tensor Imaging study, where fractional anisotropy of the arcuate fasciculus, corpus callosum and cingulum was correlated with the Polish version of the Right Hemisphere Language Battery. Results: The patients showed reduced fractional anisotropy in the right arcuate fasciculus, left anterior cingulum bundle and left forceps minor. Among the first episode patients, reduced understanding of written metaphors correlated with reduced fractional anisotropy of left forceps minor, and greater explanation of written and picture metaphors correlated with reduced fractional anisotropy of the left anterior cingulum. Conclusions: The white matter dysfunctions may underlie the pragmatic language impairment in schizophrenia. Our results shed further light on the functional neuroanatomical basis of pragmatic language use by patients with schizophrenia.
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Affiliation(s)
- Agnieszka Pawełczyk
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Łódź, Poland.
| | | | - Natalia Żurner
- Adolescent Ward, Central Clinical Hospital of Medical University of Łódź, Łódź, Poland
| | | | - Piotr Gębski
- Scanlab Diagnostyka Medyczna Księży Młyn, Medical Examination Centre, Medical University of Łódź, Łódź, Poland
| | - Tomasz Pawełczyk
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Łódź, Poland
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Shekari E, Goudarzi S, Shahriari E, Joghataei MT. Extreme capsule is a bottleneck for ventral pathway. IBRO Neurosci Rep 2021; 10:42-50. [PMID: 33861816 PMCID: PMC8019950 DOI: 10.1016/j.ibneur.2020.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/30/2020] [Indexed: 11/25/2022] Open
Abstract
As neuroscience literature suggests, extreme capsule is considered a whiter matter tract. Nevertheless, it is not clear whether extreme capsule itself is an association fiber pathway or only a bottleneck for other association fibers to pass. Via our review, investigating anatomical position, connectivity and cognitive role of the bundles in extreme capsule, and by analyzing data from the dissection, it can be argued that extreme capsule is probably a bottleneck for the passage of uncinated fasciculus (UF) and inferior fronto-occipital fasciculus (IFOF), and these fasciculi are responsible for the respective roles in language processing.
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Affiliation(s)
- Ehsan Shekari
- Department of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran
| | - Sepideh Goudarzi
- Department of pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Shahriari
- Department of Physiology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran
| | - Mohammad Taghi Joghataei
- Department of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran
- Corresponding author.
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Milton CK, Dhanaraj V, Young IM, Taylor HM, Nicholas PJ, Briggs RG, Bai MY, Fonseka RD, Hormovas J, Lin Y, Tanglay O, Conner AK, Glenn CA, Teo C, Doyen S, Sughrue ME. Parcellation-based anatomic model of the semantic network. Brain Behav 2021; 11:e02065. [PMID: 33599397 PMCID: PMC8035438 DOI: 10.1002/brb3.2065] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 12/16/2020] [Accepted: 01/17/2021] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION The semantic network is an important mediator of language, enabling both speech production and the comprehension of multimodal stimuli. A major challenge in the field of neurosurgery is preventing semantic deficits. Multiple cortical areas have been linked to semantic processing, though knowledge of network connectivity has lacked anatomic specificity. Using attentional task-based fMRI studies, we built a neuroanatomical model of this network. METHODS One hundred and fifty-five task-based fMRI studies related to categorization of visual words and objects, and auditory words and stories were used to generate an activation likelihood estimation (ALE). Cortical parcellations overlapping the ALE were used to construct a preliminary model of the semantic network based on the cortical parcellation scheme previously published under the Human Connectome Project. Deterministic fiber tractography was performed on 25 randomly chosen subjects from the Human Connectome Project, to determine the connectivity of the cortical parcellations comprising the network. RESULTS The ALE analysis demonstrated fourteen left hemisphere cortical regions to be a part of the semantic network: 44, 45, 55b, IFJa, 8C, p32pr, SFL, SCEF, 8BM, STSdp, STSvp, TE1p, PHT, and PBelt. These regions showed consistent interconnections between parcellations. Notably, the anterior temporal pole, a region often implicated in semantic function, was absent from our model. CONCLUSIONS We describe a preliminary cortical model for the underlying structural connectivity of the semantic network. Future studies will further characterize the neurotractographic details of the semantic network in the context of medical application.
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Affiliation(s)
- Camille K. Milton
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Vukshitha Dhanaraj
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | | | | | | | - Robert G. Briggs
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Michael Y. Bai
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | - Rannulu D. Fonseka
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | - Jorge Hormovas
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | - Yueh‐Hsin Lin
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | - Onur Tanglay
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | - Andrew K. Conner
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Chad A. Glenn
- Department of NeurosurgeryUniversity of Oklahoma Health Sciences CenterOklahoma CityOKUSA
| | - Charles Teo
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
| | | | - Michael E. Sughrue
- Department of NeurosurgeryPrince of Wales Private HospitalSydneyNSWAustralia
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Nakajima R, Kinoshita M, Shinohara H, Nakada M. The superior longitudinal fascicle: reconsidering the fronto-parietal neural network based on anatomy and function. Brain Imaging Behav 2021; 14:2817-2830. [PMID: 31468374 DOI: 10.1007/s11682-019-00187-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Due primarily to the extensive disposition of fibers and secondarily to the methodological preferences of researchers, the superior longitudinal fasciculus (SLF) subdivisions have multiple names, complicating SLF research. Here, we collected and reassessed existing knowledge regarding the SLF, which we used to propose a four-term classification of the SLF based mainly on function: dorsal SLF, ventral SLF, posterior SLF, and arcuate fasciculus (AF); these correspond to the traditional SLF II, SLF III or anterior AF, temporoparietal segment of the SLF or posterior AF, and AF or AF long segment, respectively. Each segment has a distinct functional role. The dorsal SLF is involved in visuospatial attention and motor control, while the ventral SLF is associated with language-related networks, auditory comprehension, and articulatory processing in the left hemisphere. The posterior SLF is involved in language-related processing, including auditory comprehension, reading, and lexical access, while the AF is associated with language-related activities, such as phonological processing; the right AF plays a role in social cognition and visuospatial attention. This simple proposed classification permits a better understanding of the SLF and may comprise a convenient classification for use in research and clinical practice relating to brain function.
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Affiliation(s)
- Riho Nakajima
- Department of Occupational therapy, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Masashi Kinoshita
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | | | - Mitsutoshi Nakada
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.
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Cerebral white matter connectivity, cognition, and age-related macular degeneration. NEUROIMAGE-CLINICAL 2021; 30:102594. [PMID: 33662707 PMCID: PMC7930609 DOI: 10.1016/j.nicl.2021.102594] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/24/2022]
Abstract
Age-related macular degeneration (AMD) is a common retina disease associated with cognitive impairment in older adults. The mechanism(s) that account for the link between AMD and cognitive decline remain unclear. Here we aim to shed light on this issue by investigating whether relationships between cognition and white matter in the brain differ by AMD status. In a direct group comparison of brain connectometry maps from diffusion weighted images, AMD patients showed significantly weaker quantitative anisotropy (QA) than healthy controls, predominantly in the splenium and left optic radiation. The QA of these tracts, however, did not correlate with the visual acuity measure, indicating that this group effect is not directly driven by visual loss. The AMD and control groups did not differ significantly in cognitive performance.Across all participants, better cognitive performance (e.g. verbal fluency) is associated with stronger connectivity strength in white matter tracts including the splenium and the left inferior fronto-occipital fasciculus/inferior longitudinal fasciculus. However, there were significant interactions between group and cognitive performance (verbal fluency, memory), suggesting that the relation between QA and cognitive performance was weaker in AMD patients than in controls.This may be explained by unmeasured determinants of performance that are more common or impactful in AMD or by a recruitment bias whereby the AMD group had higher cognitive reserve. In general, our findings suggest that neural degeneration in the brain might occur in parallel to AMD in the eyes, although the participants studied here do not (yet) exhibit overt cognitive declines per standard assessments.
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38
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Hula WD, Panesar S, Gravier ML, Yeh FC, Dresang HC, Dickey MW, Fernandez-Miranda JC. Structural white matter connectometry of word production in aphasia: an observational study. Brain 2020; 143:2532-2544. [PMID: 32705146 DOI: 10.1093/brain/awaa193] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/12/2020] [Accepted: 04/22/2020] [Indexed: 11/15/2022] Open
Abstract
While current dual-steam neurocognitive models of language function have coalesced around the view that distinct neuroanatomical networks subserve semantic and phonological processing, respectively, the specific white matter components of these networks remain a matter of debate. To inform this debate, we investigated relationships between structural white matter connectivity and word production in a cross-sectional study of 42 participants with aphasia due to unilateral left hemisphere stroke. Specifically, we reconstructed a local connectome matrix for each participant from diffusion spectrum imaging data and regressed these matrices on indices of semantic and phonological ability derived from their responses to a picture-naming test and a computational model of word production. These connectometry analyses indicated that both dorsally located (arcuate fasciculus) and ventrally located (inferior frontal-occipital, uncinate, and middle longitudinal fasciculi) tracts were associated with semantic ability, while associations with phonological ability were more dorsally situated, including the arcuate and middle longitudinal fasciculi. Associations with limbic pathways including the posterior cingulum bundle and the fornix were also found. All analyses controlled for total lesion volume and all results showing positive associations obtained false discovery rates < 0.05. These results challenge dual-stream accounts that deny a role for the arcuate fasciculus in semantic processing, and for ventral-stream pathways in language production. They also illuminate limbic contributions to both semantic and phonological processing for word production.
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Affiliation(s)
- William D Hula
- Geriatric Research, Education, and Clinical Center and Audiology and Speech Pathology Service, VA Pittsburgh Healthcare System, Pittsburgh PA, USA.,Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh PA, USA
| | - Sandip Panesar
- Department of Neurosurgery, Stanford University, Palo Alto, CA, USA
| | - Michelle L Gravier
- Department of Speech, Language, and Hearing Sciences, California State East Bay, Hayward, CA, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Haley C Dresang
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh PA, USA
| | - Michael Walsh Dickey
- Geriatric Research, Education, and Clinical Center and Audiology and Speech Pathology Service, VA Pittsburgh Healthcare System, Pittsburgh PA, USA.,Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh PA, USA
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Li W, Kutas M, Gray JA, Hagerman RH, Olichney JM. The Role of Glutamate in Language and Language Disorders - Evidence from ERP and Pharmacologic Studies. Neurosci Biobehav Rev 2020; 119:217-241. [PMID: 33039453 DOI: 10.1016/j.neubiorev.2020.09.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 08/10/2020] [Accepted: 09/21/2020] [Indexed: 12/31/2022]
Abstract
Current models of language processing do not address mechanisms at the neurotransmitter level, nor how pharmacologic agents may improve language function(s) in seemingly disparate disorders. L-Glutamate, the primary excitatory neurotransmitter in the human brain, is extensively involved in various higher cortical functions. We postulate that the physiologic role of L-Glutamate neurotransmission extends to the regulation of language access, comprehension, and production, and that disorders in glutamatergic transmission and circuitry contribute to the pathogenesis of neurodegenerative diseases and sporadic-onset language disorders such as the aphasic stroke syndromes. We start with a review of basic science data pertaining to various glutamate receptors in the CNS and ways that they may influence the physiological processes of language access and comprehension. We then focus on the dysregulation of glutamate neurotransmission in three conditions in which language dysfunction is prominent: Alzheimer's Disease, Fragile X-associated Tremor/Ataxia Syndrome, and Aphasic Stroke Syndromes. Finally, we review the pharmacologic and electrophysiologic (event related brain potential or ERP) data pertaining to the role glutamate neurotransmission plays in language processing and disorders.
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Affiliation(s)
- Wentao Li
- Department of Neurology, University of California, Davis, 4860 Y Street, Suite 3700, Sacramento, CA, 95817, USA.
| | - Marta Kutas
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive #0515, La Jolla, CA, 92093, USA; Department of Neurosciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
| | - John A Gray
- Department of Neurology, University of California, Davis, 4860 Y Street, Suite 3700, Sacramento, CA, 95817, USA; Center for Neuroscience, University of California, Davis, 1544 Newton Court, Davis, CA, 95618, USA.
| | - Randi H Hagerman
- MIND Institute, University of California, Davis, 2825 50th Street, Sacramento, CA, 95817, USA.
| | - John M Olichney
- Department of Neurology, University of California, Davis, 4860 Y Street, Suite 3700, Sacramento, CA, 95817, USA; Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA, 95618, USA.
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Fleming V, Brownsett S, Krason A, Maegli MA, Coley-Fisher H, Ong YH, Nardo D, Leach R, Howard D, Robson H, Warburton E, Ashburner J, Price CJ, Crinion JT, Leff AP. Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging. J Neurol Neurosurg Psychiatry 2020; 92:jnnp-2020-324256. [PMID: 33154182 PMCID: PMC7611712 DOI: 10.1136/jnnp-2020-324256] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/17/2020] [Accepted: 10/07/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVE The efficacy of spoken language comprehension therapies for persons with aphasia remains equivocal. We investigated the efficacy of a self-led therapy app, 'Listen-In', and examined the relation between brain structure and therapy response. METHODS A cross-over randomised repeated measures trial with five testing time points (12-week intervals), conducted at the university or participants' homes, captured baseline (T1), therapy (T2-T4) and maintenance (T5) effects. Participants with chronic poststroke aphasia and spoken language comprehension impairments completed consecutive Listen-In and standard care blocks (both 12 weeks with order randomised). Repeated measures analyses of variance compared change in spoken language comprehension on two co-primary outcomes over therapy versus standard care. Three structural MRI scans (T2-T4) for each participant (subgroup, n=25) were analysed using cross-sectional and longitudinal voxel-based morphometry. RESULTS Thirty-five participants completed, on average, 85 hours (IQR=70-100) of Listen-In (therapy first, n=18). The first study-specific co-primary outcome (Auditory Comprehension Test (ACT)) showed large and significant improvements for trained spoken words over therapy versus standard care (11%, Cohen's d=1.12). Gains were largely maintained at 12 and 24 weeks. There were no therapy effects on the second standardised co-primary outcome (Comprehensive Aphasia Test: Spoken Words and Sentences). Change on ACT trained words was associated with volume of pretherapy right hemisphere white matter and post-therapy grey matter tissue density changes in bilateral temporal lobes. CONCLUSIONS Individuals with chronic aphasia can improve their spoken word comprehension many years after stroke. Results contribute to hemispheric debates implicating the right hemisphere in therapy-driven language recovery. Listen-In will soon be available on GooglePlay. TRIAL REGISTRATION NUMBER NCT02540889.
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Affiliation(s)
- Victoria Fleming
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sonia Brownsett
- School of Health and Rehabilitation Sciences, The University of Queensland, Saint Lucia, Queensland, Australia
- Centre of Research Excellence in Aphasia Recovery and Rehabilitation, La Trobe University, Melbourne, Victoria, Australia
| | - Anna Krason
- Department of Psychology and Language Sciences, University College London, London, UK
| | - Maria A Maegli
- Department of Psychology, Universidad del Valle de Guatemala, Guatemala, Guatemala
| | - Henry Coley-Fisher
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Yean-Hoon Ong
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Davide Nardo
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Rupert Leach
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David Howard
- School of Education, Communication and Language Sciences, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK
| | - Holly Robson
- Psychology and Clinical Language Sciences, University of Reading, Reading, Berkshire, UK
| | - Elizabeth Warburton
- Department of Medicine, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Cathy J Price
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Jenny T Crinion
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Alexander P Leff
- UCL Queen Square Institute of Neurology, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Feng G, Yi HG, Chandrasekaran B. The Role of the Human Auditory Corticostriatal Network in Speech Learning. Cereb Cortex 2020; 29:4077-4089. [PMID: 30535138 DOI: 10.1093/cercor/bhy289] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 08/30/2018] [Indexed: 01/26/2023] Open
Abstract
We establish a mechanistic account of how the mature human brain functionally reorganizes to acquire and represent new speech sounds. Native speakers of English learned to categorize Mandarin lexical tone categories produced by multiple talkers using trial-by-trial feedback. We hypothesized that the corticostriatal system is a key intermediary in mediating temporal lobe plasticity and the acquisition of new speech categories in adulthood. We conducted a functional magnetic resonance imaging experiment in which participants underwent a sound-to-category mapping task. Diffusion tensor imaging data were collected, and probabilistic fiber tracking analysis was employed to assay the auditory corticostriatal pathways. Multivariate pattern analysis showed that talker-invariant novel tone category representations emerged in the left superior temporal gyrus (LSTG) within a few hundred training trials. Univariate analysis showed that the putamen, a subregion of the striatum, was sensitive to positive feedback in correctly categorized trials. With learning, functional coupling between the putamen and LSTG increased during error processing. Furthermore, fiber tractography demonstrated robust structural connectivity between the feedback-sensitive striatal regions and the LSTG regions that represent the newly learned tone categories. Our convergent findings highlight a critical role for the auditory corticostriatal circuitry in mediating the acquisition of new speech categories.
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Affiliation(s)
- Gangyi Feng
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong SAR, China.,Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Han Gyol Yi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Bharath Chandrasekaran
- Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA
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Fitzhugh MC, Schaefer SY, Baxter LC, Rogalsky C. Cognitive and neural predictors of speech comprehension in noisy backgrounds in older adults. LANGUAGE, COGNITION AND NEUROSCIENCE 2020; 36:269-287. [PMID: 34250179 PMCID: PMC8261331 DOI: 10.1080/23273798.2020.1828946] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 09/18/2020] [Indexed: 06/13/2023]
Abstract
Older adults often experience difficulties comprehending speech in noisy backgrounds, which hearing loss does not fully explain. It remains unknown how cognitive abilities, brain networks, and age-related hearing loss may uniquely contribute to speech in noise comprehension at the sentence level. In 31 older adults, using cognitive measures and resting-state fMRI, we investigated the cognitive and neural predictors of speech comprehension with energetic (broadband noise) and informational masking (multi-speakers) effects. Better hearing thresholds and greater working memory abilities were associated with better speech comprehension with energetic masking. Conversely, faster processing speed and stronger functional connectivity between frontoparietal and language networks were associated with better speech comprehension with informational masking. Our findings highlight the importance of the frontoparietal network in older adults' ability to comprehend speech in multi-speaker backgrounds, and that hearing loss and working memory in older adults contributes to speech comprehension abilities related to energetic, but not informational masking.
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Affiliation(s)
- Megan C. Fitzhugh
- Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA
- College of Health Solutions, Arizona State University, Tempe, AZ
| | - Sydney Y. Schaefer
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ
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Chien PJ, Friederici AD, Hartwigsen G, Sammler D. Intonation processing increases task-specific fronto-temporal connectivity in tonal language speakers. Hum Brain Mapp 2020; 42:161-174. [PMID: 32996647 PMCID: PMC7721241 DOI: 10.1002/hbm.25214] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 09/08/2020] [Accepted: 09/13/2020] [Indexed: 01/08/2023] Open
Abstract
Language comprehension depends on tight functional interactions between distributed brain regions. While these interactions are established for semantic and syntactic processes, the functional network of speech intonation – the linguistic variation of pitch – has been scarcely defined. Particularly little is known about intonation in tonal languages, in which pitch not only serves intonation but also expresses meaning via lexical tones. The present study used psychophysiological interaction analyses of functional magnetic resonance imaging data to characterise the neural networks underlying intonation and tone processing in native Mandarin Chinese speakers. Participants categorised either intonation or tone of monosyllabic Mandarin words that gradually varied between statement and question and between Tone 2 and Tone 4. Intonation processing induced bilateral fronto‐temporal activity and increased functional connectivity between left inferior frontal gyrus and bilateral temporal regions, likely linking auditory perception and labelling of intonation categories in a phonological network. Tone processing induced bilateral temporal activity, associated with the auditory representation of tonal (phonemic) categories. Together, the present data demonstrate the breadth of the functional intonation network in a tonal language including higher‐level phonological processes in addition to auditory representations common to both intonation and tone.
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Affiliation(s)
- Pei-Ju Chien
- International Max Planck Research School NeuroCom, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Otto Hahn Group 'Neural Bases of Intonation in Speech and Music', Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Lise Meitner Research Group 'Cognition and Plasticity', Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Angela D Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group 'Cognition and Plasticity', Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Daniela Sammler
- Otto Hahn Group 'Neural Bases of Intonation in Speech and Music', Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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44
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Kuiper JJ, Lin YH, Young IM, Bai MY, Briggs RG, Tanglay O, Fonseka RD, Hormovas J, Dhanaraj V, Conner AK, O'Neal CM, Sughrue ME. A parcellation-based model of the auditory network. Hear Res 2020; 396:108078. [PMID: 32961519 DOI: 10.1016/j.heares.2020.108078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/01/2020] [Accepted: 09/11/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION The auditory network plays an important role in interaction with the environment. Multiple cortical areas, such as the inferior frontal gyrus, superior temporal gyrus and adjacent insula have been implicated in this processing. However, understanding of this network's connectivity has been devoid of tractography specificity. METHODS Using attention task-based functional magnetic resonance imaging (MRI) studies, an activation likelihood estimation (ALE) of the auditory network was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE in the Montreal Neurological Institute coordinate space, and visually assessed for inclusion in the network. Diffusion spectrum MRI-based fiber tractography was performed to determine the structural connections between cortical parcellations comprising the network. RESULTS Fifteen cortical regions were found to be part of the auditory network: areas 44 and 8C, auditory area 1, 4, and 5, frontal operculum area 4, the lateral belt, medial belt and parabelt, parietal area F centromedian, perisylvian language area, retroinsular cortex, supplementary and cingulate eye field and the temporoparietal junction area 1. These regions showed consistent interconnections between adjacent parcellations. The frontal aslant tract was found to connect areas within the frontal lobe, while the arcuate fasciculus was found to connect the frontal and temporal lobe, and subcortical U-fibers were found to connect parcellations within the temporal area. Further studies may refine this model with the ultimate goal of clinical application.
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Affiliation(s)
- Joseph J Kuiper
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | | | - Michael Y Bai
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Onur Tanglay
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - R Dineth Fonseka
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Vukshitha Dhanaraj
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Christen M O'Neal
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia.
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Tóth B, Honbolygó F, Szalárdy O, Orosz G, Farkas D, Winkler I. The effects of speech processing units on auditory stream segregation and selective attention in a multi-talker (cocktail party) situation. Cortex 2020; 130:387-400. [DOI: 10.1016/j.cortex.2020.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/24/2020] [Accepted: 06/08/2020] [Indexed: 10/23/2022]
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Kessler M, Schierholz I, Mamach M, Wilke F, Hahne A, Büchner A, Geworski L, Bengel FM, Sandmann P, Berding G. Combined Brain-Perfusion SPECT and EEG Measurements Suggest Distinct Strategies for Speech Comprehension in CI Users With Higher and Lower Performance. Front Neurosci 2020; 14:787. [PMID: 32848560 PMCID: PMC7431776 DOI: 10.3389/fnins.2020.00787] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 07/06/2020] [Indexed: 11/29/2022] Open
Abstract
Cochlear implantation constitutes a successful therapy of inner ear deafness, with the majority of patients showing good outcomes. There is, however, still some unexplained variability in outcomes with a number of cochlear-implant (CI) users, showing major limitations in speech comprehension. The current study used a multimodal diagnostic approach combining single-photon emission computed tomography (SPECT) and electroencephalography (EEG) to examine the mechanisms underlying speech processing in postlingually deafened CI users (N = 21). In one session, the participants performed a speech discrimination task, during which a 96-channel EEG was recorded and the perfusions marker 99mTc-HMPAO was injected intravenously. The SPECT scan was acquired 1.5 h after injection to measure the cortical activity during the speech task. The second session included a SPECT scan after injection without stimulation at rest. Analysis of EEG and SPECT data showed N400 and P600 event-related potentials (ERPs) particularly evoked by semantic violations in the sentences, and enhanced perfusion in a temporo-frontal network during task compared to rest, involving the auditory cortex bilaterally and Broca's area. Moreover, higher performance in testing for word recognition and verbal intelligence strongly correlated to the activation in this network during the speech task. However, comparing CI users with lower and higher speech intelligibility [median split with cutoff + 7.6 dB signal-to-noise ratio (SNR) in the Göttinger sentence test] revealed for CI users with higher performance additional activations of parietal and occipital regions and for those with lower performance stronger activation of superior frontal areas. Furthermore, SPECT activity was tightly coupled with EEG and cognitive abilities, as indicated by correlations between (1) cortical activation and the amplitudes in EEG, N400 (temporal and occipital areas)/P600 (parietal and occipital areas) and (2) between cortical activation in left-sided temporal and bilateral occipital/parietal areas and working memory capacity. These results suggest the recruitment of a temporo-frontal network in CI users during speech processing and a close connection between ERP effects and cortical activation in CI users. The observed differences in speech-evoked cortical activation patterns for CI users with higher and lower speech intelligibility suggest distinct processing strategies during speech rehabilitation with CI.
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Affiliation(s)
- Mariella Kessler
- Department of Nuclear Medicine, Hannover Medical School, Hanover, Germany
- Cluster of Excellence Hearing4all, Hannover Medical School, University of Oldenburg, Oldenburg, Germany
| | - Irina Schierholz
- Cluster of Excellence Hearing4all, Hannover Medical School, University of Oldenburg, Oldenburg, Germany
- Department of Otorhinolaryngology, Hannover Medical School, Hanover, Germany
- Department of Otorhinolaryngology, University of Cologne, Cologne, Germany
| | - Martin Mamach
- Cluster of Excellence Hearing4all, Hannover Medical School, University of Oldenburg, Oldenburg, Germany
- Department of Medical Physics and Radiation Protection, Hannover Medical School, Hanover, Germany
| | - Florian Wilke
- Department of Medical Physics and Radiation Protection, Hannover Medical School, Hanover, Germany
| | - Anja Hahne
- Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Saxonian Cochlear Implant Center, Technical University Dresden, Dresden, Germany
| | - Andreas Büchner
- Cluster of Excellence Hearing4all, Hannover Medical School, University of Oldenburg, Oldenburg, Germany
- Department of Otorhinolaryngology, Hannover Medical School, Hanover, Germany
| | - Lilli Geworski
- Department of Medical Physics and Radiation Protection, Hannover Medical School, Hanover, Germany
| | - Frank M. Bengel
- Department of Nuclear Medicine, Hannover Medical School, Hanover, Germany
| | - Pascale Sandmann
- Department of Otorhinolaryngology, University of Cologne, Cologne, Germany
| | - Georg Berding
- Department of Nuclear Medicine, Hannover Medical School, Hanover, Germany
- Cluster of Excellence Hearing4all, Hannover Medical School, University of Oldenburg, Oldenburg, Germany
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Yuriko Santos Kawata N, Hashimoto T, Kawashima R. Neural mechanisms underlying concurrent listening of simultaneous speech. Brain Res 2020; 1738:146821. [PMID: 32259518 DOI: 10.1016/j.brainres.2020.146821] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 03/31/2020] [Accepted: 04/03/2020] [Indexed: 10/24/2022]
Abstract
Can we identify what two people are saying at the same time? Although it is difficult to perfectly repeat two or more simultaneous messages, listeners can report information from both speakers. In a concurrent/divided listening task, enhanced attention and segregation of speech can be required rather than selection and suppression. However, the neural mechanisms of concurrent listening to multi-speaker concurrent speech has yet to be clarified. The present study utilized functional magnetic resonance imaging to examine the neural responses of healthy young adults listening to concurrent male and female speakers in an attempt to reveal the mechanism of concurrent listening. After practice and multiple trials testing concurrent listening, 31 participants achieved performance comparable with that of selective listening. Furthermore, compared to selective listening, concurrent listening induced greater activation in the anterior cingulate cortex, bilateral anterior insula, frontoparietal regions, and the periaqueductal gray region. In addition to the salience network for multi-speaker listening, attentional modulation and enhanced segregation of these signals could be used to achieve successful concurrent listening. These results indicate the presence of a potential mechanism by which one can listen to two voices with enhanced attention to saliency signals.
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Affiliation(s)
- Natasha Yuriko Santos Kawata
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Japan
| | - Teruo Hashimoto
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Japan.
| | - Ryuta Kawashima
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Japan; Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Japan
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Xu K, Wu DH, Duann JR. Dynamic brain connectivity attuned to the complexity of relative clause sentences revealed by a single-trial analysis. Neuroimage 2020; 217:116920. [PMID: 32422404 DOI: 10.1016/j.neuroimage.2020.116920] [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: 07/30/2019] [Revised: 04/28/2020] [Accepted: 05/02/2020] [Indexed: 10/24/2022] Open
Abstract
To explore the issue of how the human brain processes sentences with different levels of complexity, we sought to compare the neural substrates underlying the processing of Chinese subject-extracted relative clause (SRC) and object-extracted relative clause (ORC) sentences in a trial-by-trial fashion. Previous neuroimaging studies have demonstrated that the involvement of the left inferior frontal gyrus (LIFG) and the left superior temporal gyrus (LSTG) is critical for the processing of relative clause (RC) sentences. In this study, we employed independent component analysis (ICA) to decompose brain activity into a set of independent components. Then, the independent component maps were spatially normalized using a surface-based approach in order to further spatially correlate and match the equivalent components from individual participants. The selected equivalent components indicated that the LIFG and the LSTG were consistently engaged in sentence processing among the participants. Subsequently, we observed alterations in the functional coupling between the LIFG and the LSTG in response to SRCs and ORCs using a Granger causality analysis. Specifically, comprehending Chinese ORCs with a canonical word order only involved a unidirectional connection from the LIFG to the LSTG for the integration of lexical-syntactic information. On the other hand, comprehending Chinese SRCs required bi-directional connectivity between the LIFG and the LSTG to fulfill increased integration demands in reconstructing the argument hierarchy due to a non-canonical word order. Furthermore, through a single-trial analysis, the strength of the connectivity from the LIFG to the LSTG was found to be significantly correlated with the complexity of the SRC sentences as quantified by eye-tracking measures. These findings indicated that the effective connectivity from the LIFG to the LSTG played an important role in the comprehension of complex sentences and that enhanced strength of this connectivity might reflect increased integration demands and restructuring attempts during sentence processing. Taken together, the results of the present study reveal that interregional interaction in the brain network for sentence processing can be dynamically engaged in response to different levels of complexity and also shed some light on the interpretation of neuroimaging and behavioral evidence when accounting for the nature of sentence complexity during reading.
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Affiliation(s)
- Kunyu Xu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, 32001, Taiwan; Institute of Modern Languages and Linguistics, Fudan University, Shanghai, 200433, China
| | - Denise H Wu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, 32001, Taiwan
| | - Jeng-Ren Duann
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, 32001, Taiwan; Institute for Neural Computation, University of California San Diego, La Jolla, CA, 92093, USA; Institute of Education, National Chiao Tung University, Hsinchu, 30010, Taiwan.
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Xu K, Duann JR. Brain connectivity in the left frontotemporal network dynamically modulated by processing difficulty: Evidence from Chinese relative clauses. PLoS One 2020; 15:e0230666. [PMID: 32271773 PMCID: PMC7144993 DOI: 10.1371/journal.pone.0230666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 03/05/2020] [Indexed: 11/18/2022] Open
Abstract
Although the connection between the left inferior frontal gyrus (LIFG) and the left superior temporal gyrus (LSTG) has been found to be essential for the comprehension of relative clause (RC) sentences, it remains unclear how the LIFG and the LSTG interact with each other, especially during the processing of Chinese RC sentences with different processing difficulty. This study thus conducted a 2 × 2 (modifying position × extraction position) factorial analyses to examine how these two factors influences regional brain activation. The results showed that, regardless of the modifying position, greater activation in the LIFG was consistently elicited in Chinese subject-extracted relative clauses (SRCs) with non-canonical word order than object-extracted relative clauses (ORCs) with canonical word order, implying that the LIFG subserving the ordering process primarily contributes to the processing of information with increased integration demands due to the non-canonical sequence. Moreover, the directional connection between the LIFG and the LSTG appeared to be modulated by different modifying positions. When the RC was at the subject-modifying position, the effective connectivity from the LIFG to the LSTG was dominantly activated for sentence comprehension; whereas when the RC was at the object-modifying position thus being more difficult, it might be the feedback mechanism from the LSTG back to the LIFG that took place in sentence processing. These findings reveal that brain activation in between the LIFG and the LSTG may be dynamically modulated by different processing difficulty and suggest the relative specialization but extensive collaboration involved in the LIFG and the LSTG for sentence comprehension.
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Affiliation(s)
- Kunyu Xu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
| | - Jeng-Ren Duann
- Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan
- Institute for Neural Computation, University of California San Diego, La Jolla, CA, United States of America
- * E-mail:
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Sanvito F, Caverzasi E, Riva M, Jordan KM, Blasi V, Scifo P, Iadanza A, Crespi SA, Cirillo S, Casarotti A, Leonetti A, Puglisi G, Grimaldi M, Bello L, Gorno-Tempini ML, Henry RG, Falini A, Castellano A. fMRI-Targeted High-Angular Resolution Diffusion MR Tractography to Identify Functional Language Tracts in Healthy Controls and Glioma Patients. Front Neurosci 2020; 14:225. [PMID: 32296301 PMCID: PMC7136614 DOI: 10.3389/fnins.2020.00225] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/02/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND MR Tractography enables non-invasive preoperative depiction of language subcortical tracts, which is crucial for the presurgical work-up of brain tumors; however, it cannot evaluate the exact function of the fibers. PURPOSE A systematic pipeline was developed to combine tractography reconstruction of language fiber bundles, based on anatomical landmarks (Anatomical-T), with language fMRI cortical activations. A fMRI-targeted Tractography (fMRI-T) was thus obtained, depicting the subsets of the anatomical tracts whose endpoints are located inside a fMRI activation. We hypothesized that fMRI-T could provide additional functional information regarding the subcortical structures, better reflecting the eloquent white matter structures identified intraoperatively. METHODS Both Anatomical-T and fMRI-T of language fiber tracts were performed on 16 controls and preoperatively on 16 patients with left-hemisphere brain tumors, using a q-ball residual bootstrap algorithm based on High Angular Resolution Diffusion Imaging (HARDI) datasets (b = 3000 s/mm2; 60 directions); fMRI ROIs were obtained using picture naming, verbal fluency, and auditory verb generation tasks. In healthy controls, normalized MNI atlases of fMRI-T and Anatomical-T were obtained. In patients, the surgical resection of the tumor was pursued by identifying eloquent structures with intraoperative direct electrical stimulation mapping and extending surgery to the functional boundaries. Post-surgical MRI allowed to identify Anatomical-T and fMRI-T non-eloquent portions removed during the procedure. RESULTS MNI Atlases showed that fMRI-T is a subset of Anatomical-T, and that different task-specific fMRI-T involve both shared subsets and task-specific subsets - e.g., verbal fluency fMRI-T strongly involves dorsal frontal tracts, consistently with the phonogical-articulatory features of this task. A quantitative analysis in patients revealed that Anatomical-T removed portions of AF-SLF and IFOF were significantly greater than verbal fluency fMRI-T ones, suggesting that fMRI-T is a more specific approach. In addition, qualitative analyses showed that fMRI-T AF-SLF and IFOF predict the exact functional limits of resection with increased specificity when compared to Anatomical-T counterparts, especially the superior frontal portion of IFOF, in a subcohort of patients. CONCLUSION These results suggest that performing fMRI-T in addition to the 'classic' Anatomical-T may be useful in a preoperative setting to identify the 'high-risk subsets' that should be spared during the surgical procedure.
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Affiliation(s)
- Francesco Sanvito
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Eduardo Caverzasi
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Marco Riva
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Center – IRCCS, Rozzano, Italy
| | - Kesshi M. Jordan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | | | - Paola Scifo
- Nuclear Medicine Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonella Iadanza
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Sofia Allegra Crespi
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
| | - Sara Cirillo
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandra Casarotti
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Center – IRCCS, Rozzano, Italy
| | - Antonella Leonetti
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | - Guglielmo Puglisi
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | - Marco Grimaldi
- Neuroradiology Unit, Humanitas Clinical and Research Center – IRCCS, Rozzano, Italy
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Humanitas Clinical and Research Center – IRCCS, Rozzano, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Maria Luisa Gorno-Tempini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Roland G. Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Andrea Falini
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, IRCCS San Raffaele Scientific Institute, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
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