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Obrenovic M, Mouthon M, Chavan C, Saj A, Dieguez S, Aellen J, Chabwine JN. Acute right opercular stroke-associated polyopic heautoscopy and hallucinations caused by disconnection to the inferior parietal lobule through the superior longitudinal fasciculus III: A single case study. Cortex 2024; 174:125-136. [PMID: 38520766 DOI: 10.1016/j.cortex.2023.12.020] [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: 07/07/2023] [Revised: 10/24/2023] [Accepted: 12/21/2023] [Indexed: 03/25/2024]
Abstract
Illusory neuropsychiatric symptoms such as hallucinations or the feeling of a presence (FOP) can occur in diffuse brain lesion or dysfunction, in psychiatric diseases as well as in healthy individuals. Their occurrence due to focal brain lesions is rare, most probably due to underreporting, which limits progress in understanding their underlying mechanisms and anatomical determinants. In this single case study, an 86-year-old patient experienced, in the context of an acute right central opercular ischemic stroke, visual hallucinatory symptoms (including palinopsia), differently lateralized auditory hallucinations and FOP. This unusual clinical constellation could be precisely documented and illustrated while still present, allowing a realistic and immersive visual experience validated by the patient. The acute stroke appeared to be their most plausible cause (after exclusion of other etiologies). Furthermore, accurate analysis of tractographic data suggested that disruption in the posterior bundle of the superior longitudinal fasciculus connecting the stroke lesion to the inferior parietal lobule was the anatomical substrate explaining the FOP and, indirectly, also hallucinations through whiter matter involvement, in coherence with existing literature. We could finally elaborate on symptoms taxonomy and phenomenology (e.g., polyopic heautoscopy, hallucinatory FOP, etc), and on patient's remarkable distancing from them (with some therapeutic implications supported by plausibly engaged mechanisms). This case not only authentically enriched the description of such rare combination of heterogenous illusory symptoms through this novel visualization-based reporting approach, but disclosed an unrevealed anatomo-clinical link relating all of them to the acute stroke lesion through an association fiber, thereby contributing to the understanding of these intriguing symptoms and their determinants.
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Affiliation(s)
- Mihailo Obrenovic
- Department of Neurorehabilitation, Clinique Romande de Réadaptation SUVA Care, Sion, Switzerland
| | - Michael Mouthon
- Laboratory for Neurorehabilitation Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Fribourg Switzerland
| | - Camille Chavan
- Neuropsychology-Logopedy Unit, Fribourg Hospital, Switzerland
| | - Arnaud Saj
- Neuropsychology-Logopedy Unit, Fribourg Hospital, Switzerland
| | - Sebastian Dieguez
- Laboratory for Neurorehabilitation Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Fribourg Switzerland
| | - Jerôme Aellen
- Department of Radiology, Fribourg Hospital, Riaz, Switzerland
| | - Joelle N Chabwine
- Laboratory for Neurorehabilitation Science, Medicine Section, Faculty of Science and Medicine, University of Fribourg, Fribourg Switzerland; Division of Neurology, Department of Internal Medicine, Fribourg Hospital, Cantonal Hospital Fribourg, Switzerland.
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Roelofs A. Wernicke's functional neuroanatomy model of language turns 150: what became of its psychological reflex arcs? Brain Struct Funct 2024:10.1007/s00429-024-02785-5. [PMID: 38581582 DOI: 10.1007/s00429-024-02785-5] [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: 08/25/2023] [Accepted: 03/05/2024] [Indexed: 04/08/2024]
Abstract
Wernicke (Der aphasische Symptomencomplex: Eine psychologische Studie auf anatomischer Basis. Cohn und Weigert, Breslau. https://wellcomecollection.org/works/dwv5w9rw , 1874) proposed a model of the functional neuroanatomy of spoken word repetition, production, and comprehension. At the heart of this epoch-making model are psychological reflex arcs underpinned by fiber tracts connecting sensory to motor areas. Here, I evaluate the central assumption of psychological reflex arcs in light of what we have learned about language in the brain during the past 150 years. I first describe Wernicke's 1874 model and the evidence he presented for it. Next, I discuss his updates of the model published in 1886 and posthumously in 1906. Although the model had an enormous immediate impact, it lost influence after the First World War. Unresolved issues included the anatomical underpinnings of the psychological reflex arcs, the role of auditory images in word production, and the sufficiency of psychological reflex arcs, which was questioned by Wundt (Grundzüge der physiologischen Psychologie. Engelmann, Leipzig. http://vlp.mpiwg-berlin.mpg.de/references?id=lit46 , 1874; Grundzüge der physiologischen Psychologie (Vol. 1, 5th ed.). Engelmann, Leipzig. http://vlp.mpiwg-berlin.mpg.de/references?id=lit806 , 1902). After a long dormant period, Wernicke's model was revived by Geschwind (Science 170:940-944. https://doi.org/10.1126/science.170.3961.940 , 1970; Selected papers on language and the brain. Reidel, Dordrecht, 1974), who proposed a version of it that differed in several important respects from Wernicke's original. Finally, I describe how new evidence from modern research has led to a novel view on language in the brain, supplementing contemporary equivalents of psychological reflex arcs by other mechanisms such as attentional control and assuming different neuroanatomical underpinnings. In support of this novel view, I report new analyses of patient data and computer simulations using the WEAVER++/ARC model (Roelofs 2014, 2022) that incorporates attentional control and integrates the new evidence.
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Affiliation(s)
- Ardi Roelofs
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, Thomas van Aquinostraat 4, 6525 GD, Nijmegen, The Netherlands.
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Hullett PW, Leonard MK, Gorno-Tempini ML, Mandelli ML, Chang EF. Parallel Encoding of Speech in Human Frontal and Temporal Lobes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585648. [PMID: 38562883 PMCID: PMC10983886 DOI: 10.1101/2024.03.19.585648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Models of speech perception are centered around a hierarchy in which auditory representations in the thalamus propagate to primary auditory cortex, then to the lateral temporal cortex, and finally through dorsal and ventral pathways to sites in the frontal lobe. However, evidence for short latency speech responses and low-level spectrotemporal representations in frontal cortex raises the question of whether speech-evoked activity in frontal cortex strictly reflects downstream processing from lateral temporal cortex or whether there are direct parallel pathways from the thalamus or primary auditory cortex to the frontal lobe that supplement the traditional hierarchical architecture. Here, we used high-density direct cortical recordings, high-resolution diffusion tractography, and hemodynamic functional connectivity to evaluate for evidence of direct parallel inputs to frontal cortex from low-level areas. We found that neural populations in the frontal lobe show speech-evoked responses that are synchronous or occur earlier than responses in the lateral temporal cortex. These short latency frontal lobe neural populations encode spectrotemporal speech content indistinguishable from spectrotemporal encoding patterns observed in the lateral temporal lobe, suggesting parallel auditory speech representations reaching temporal and frontal cortex simultaneously. This is further supported by white matter tractography and functional connectivity patterns that connect the auditory nucleus of the thalamus (medial geniculate body) and the primary auditory cortex to the frontal lobe. Together, these results support the existence of a robust pathway of parallel inputs from low-level auditory areas to frontal lobe targets and illustrate long-range parallel architecture that works alongside the classical hierarchical speech network model.
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Shao ZD, Gong YJ, Ren J, Wang J. Exploring the arcuate fasciculus from a clinical perspective. Front Neurosci 2023; 17:1307834. [PMID: 38033540 PMCID: PMC10684764 DOI: 10.3389/fnins.2023.1307834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
In recent years, language function impairment caused by intracranial diseases has gained increasing interest, mainly due to its significant impact on the language and cognitive ability, leading to a serious decline in the quality of life of patients. Consequently, researchers aimed to clarify the quantitative degree of lesions of the arcuate fasciculus and therapeutic targets to promote nerve fiber remodeling. The arcuate fasciculus is extremely prone to damage caused by diseases such as stroke and brain tumor. Hallucinating schizophrenia, autism spectrum disorder, epilepsy, chronic fatigue syndrome, chronic tinnitus, and other diseases can also lead to changes in the fractional anisotropy value of arcuate fasciculus; however, different studies have different conclusions about how this change occurs. To obtain a better understanding, more clinical studies are required. Owing to various advancements in neuroimaging, a better understanding and identification of vital targets for restoration of neurological function are possible. The arcuate fasciculus is stratified into three substructures, each having unique neurological functions. Both diffusion tensor imaging (DTI) sequences and deterministic monitoring techniques render it possible to visually and quantitatively analyze the substructure in three parts. In this review, we examined the progress of the arcuate fasciculus and quantitative DTI technology in recent years.
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Affiliation(s)
| | | | | | - Ji Wang
- Second Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
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Jünemann K, Engels A, Marie D, Worschech F, Scholz DS, Grouiller F, Kliegel M, Van De Ville D, Altenmüller E, Krüger THC, James CE, Sinke C. Increased functional connectivity in the right dorsal auditory stream after a full year of piano training in healthy older adults. Sci Rep 2023; 13:19993. [PMID: 37968500 PMCID: PMC10652022 DOI: 10.1038/s41598-023-46513-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/02/2023] [Indexed: 11/17/2023] Open
Abstract
Learning to play an instrument at an advanced age may help to counteract or slow down age-related cognitive decline. However, studies investigating the neural underpinnings of these effects are still scarce. One way to investigate the effects of brain plasticity is using resting-state functional connectivity (FC). The current study compared the effects of learning to play the piano (PP) against participating in music listening/musical culture (MC) lessons on FC in 109 healthy older adults. Participants underwent resting-state functional magnetic resonance imaging at three time points: at baseline, and after 6 and 12 months of interventions. Analyses revealed piano training-specific FC changes after 12 months of training. These include FC increase between right Heschl's gyrus (HG), and other right dorsal auditory stream regions. In addition, PP showed an increased anticorrelation between right HG and dorsal posterior cingulate cortex and FC increase between the right motor hand area and a bilateral network of predominantly motor-related brain regions, which positively correlated with fine motor dexterity improvements. We suggest to interpret those results as increased network efficiency for auditory-motor integration. The fact that functional neuroplasticity can be induced by piano training in healthy older adults opens new pathways to countervail age related decline.
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Affiliation(s)
- Kristin Jünemann
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
- Center for Systems Neuroscience, Hannover, Germany
| | - Anna Engels
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Damien Marie
- Geneva Musical Minds Lab, Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- CIBM Center for Biomedical Imaging, MRI UNIGE, University of Geneva, Geneva, Switzerland
| | - Florian Worschech
- Center for Systems Neuroscience, Hannover, Germany
- Institute of Music Physiology and Musicians' Medicine, Hannover University of Music, Drama and Media, Hannover, Germany
| | - Daniel S Scholz
- Institute of Medical Psychology, University of Lübeck, Lübeck, Germany
- Department of Musicians' Health, University of Music Lübeck, Lübeck, Germany
| | - Frédéric Grouiller
- CIBM Center for Biomedical Imaging, MRI UNIGE, University of Geneva, Geneva, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
| | - Matthias Kliegel
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Dimitri Van De Ville
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Eckart Altenmüller
- Center for Systems Neuroscience, Hannover, Germany
- Institute of Music Physiology and Musicians' Medicine, Hannover University of Music, Drama and Media, Hannover, Germany
| | - Tillmann H C Krüger
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
- Center for Systems Neuroscience, Hannover, Germany
| | - Clara E James
- Geneva Musical Minds Lab, Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Christopher Sinke
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
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Andreoli M, Mackie MA, Aaby D, Tate MC. White matter tracts contribute selectively to cognitive functioning in patients with glioma. Front Oncol 2023; 13:1221753. [PMID: 37927476 PMCID: PMC10623310 DOI: 10.3389/fonc.2023.1221753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/03/2023] [Indexed: 11/07/2023] Open
Abstract
Objective The functional organization of white matter (WM) tracts is not well characterized, especially in patients with intrinsic brain tumors where complex patterns of tissue injury, compression, and neuroplasticity may be present. This study uses diffusion tensor imaging (DTI) to investigate the relationships between WM tract disruption and cognitive deficits in glioma patients. Methods Seventy-nine patients with glioma underwent preoperative DTI and neuropsychological testing. Thirteen WM tracts were reconstructed bilaterally. Fractional anisotropy and streamline number were obtained for each tract as indices of connectivity. Univariate regression models were used to model the association between WM tract connectivity and neuropsychological outcomes. Results Glioma patients exhibited variable injury to WM tracts and variable cognitive deficits on validated neuropsychological tests. We identified 16 age-adjusted associations between WM tract integrity and neuropsychological function. The left inferior frontal-occipital fasciculus (IFOF) predicted list learning and dominant-hand fine motor dexterity. The right IFOF predicted non-dominant-hand fine motor dexterity and visuospatial index scores. The left inferior longitudinal fasciculus (ILF) predicted immediate memory list learning and index scores. The right ILF predicted non-dominant-hand fine motor dexterity and backward digit span scores. The left superior longitudinal fasciculus (SLF) I predicted processing speed. The left SLF III predicted list learning, immediate memory index scores, phonemic fluency, and verbal abstract reasoning. The left cingulum predicted processing speed. The right anterior AF predicted verbal abstract reasoning. Conclusion WM tract disruption predicts cognitive dysfunction in glioma patients. By improving knowledge of WM tract organization, this analysis may guide maximum surgical resection and functional preservation in glioma patients.
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Affiliation(s)
- Mia Andreoli
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Melissa-Ann Mackie
- Department of Neuropsychology, Northwestern Memorial Hospital, Chicago, IL, United States
| | - David Aaby
- Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Matthew C. Tate
- Department of Neurological Surgery and Neurology, Northwestern Memorial Hospital, Chicago, IL, United States
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Unger N, Haeck M, Eickhoff SB, Camilleri JA, Dickscheid T, Mohlberg H, Bludau S, Caspers S, Amunts K. Cytoarchitectonic mapping of the human frontal operculum-New correlates for a variety of brain functions. Front Hum Neurosci 2023; 17:1087026. [PMID: 37448625 PMCID: PMC10336231 DOI: 10.3389/fnhum.2023.1087026] [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: 11/01/2022] [Accepted: 04/18/2023] [Indexed: 07/15/2023] Open
Abstract
The human frontal operculum (FOp) is a brain region that covers parts of the ventral frontal cortex next to the insula. Functional imaging studies showed activations in this region in tasks related to language, somatosensory, and cognitive functions. While the precise cytoarchitectonic areas that correlate to these processes have not yet been revealed, earlier receptorarchitectonic analysis resulted in a detailed parcellation of the FOp. We complemented this analysis by a cytoarchitectonic study of a sample of ten postmortem brains and mapped the posterior FOp in serial, cell-body stained histological sections using image analysis and multivariate statistics. Three new areas were identified: Op5 represents the most posterior area, followed by Op6 and the most anterior region Op7. Areas Op5-Op7 approach the insula, up to the circular sulcus. Area 44 of Broca's region, the most ventral part of premotor area 6, and parts of the parietal operculum are dorso-laterally adjacent to Op5-Op7. The areas did not show any interhemispheric or sex differences. Three-dimensional probability maps and a maximum probability map were generated in stereotaxic space, and then used, in a first proof-of-concept-study, for functional decoding and analysis of structural and functional connectivity. Functional decoding revealed different profiles of cytoarchitectonically identified Op5-Op7. While left Op6 was active in music cognition, right Op5 was involved in chewing/swallowing and sexual processing. Both areas showed activation during the exercise of isometric force in muscles. An involvement in the coordination of flexion/extension could be shown for the right Op6. Meta-analytic connectivity modeling revealed various functional connections of the FOp areas within motor and somatosensory networks, with the most evident connection with the music/language network for Op6 left. The new cytoarchitectonic maps are part of Julich-Brain, and publicly available to serve as a basis for future analyses of structural-functional relationships in this region.
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Affiliation(s)
- Nina Unger
- Cécile and Oskar Vogt Institute for Brain Research, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | | | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
- Institute for Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julia A. Camilleri
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
- Institute for Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Timo Dickscheid
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute of Computer Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Hartmut Mohlberg
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Sebastian Bludau
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Institute for Anatomy I, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Katrin Amunts
- Cécile and Oskar Vogt Institute for Brain Research, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
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Binding LP, Dasgupta D, Taylor PN, Thompson PJ, O'Keeffe AG, de Tisi J, McEvoy AW, Miserocchi A, Winston GP, Duncan JS, Vos SB. Contribution of White Matter Fiber Bundle Damage to Language Change After Surgery for Temporal Lobe Epilepsy. Neurology 2023; 100:e1621-e1633. [PMID: 36750386 PMCID: PMC10103113 DOI: 10.1212/wnl.0000000000206862] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 12/12/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND AND OBJECTIVES In medically refractory temporal lobe epilepsy (TLE), 30%-50% of patients experience substantial language decline after resection in the language-dominant hemisphere. In this study, we investigated the contribution of white matter fiber bundle damage to language change at 3 and 12 months after surgery. METHODS We studied 127 patients who underwent TLE surgery from 2010 to 2019. Neuropsychological testing included picture naming, semantic fluency, and phonemic verbal fluency, performed preoperatively and 3 and 12 months postoperatively. Outcome was assessed using reliable change index (RCI; clinically significant decline) and change across timepoints (postoperative scores minus preoperative scores). Functional MRI was used to determine language lateralization. The arcuate fasciculus (AF), inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus, middle longitudinal fasciculus (MLF), and uncinate fasciculus were mapped using diffusion MRI probabilistic tractography. Resection masks, drawn comparing coregistered preoperative and postoperative T1 MRI scans, were used as exclusion regions on preoperative tractography to estimate the percentage of preoperative tracts transected in surgery. Chi-squared assessments evaluated the occurrence of RCI-determined language decline. Independent sample t tests and MM-estimator robust regressions were used to assess the impact of clinical factors and fiber transection on RCI and change outcomes, respectively. RESULTS Language-dominant and language-nondominant resections were treated separately for picture naming because postoperative outcomes were significantly different between these groups. In language-dominant hemisphere resections, greater surgical damage to the AF and IFOF was related to RCI decline at 3 months. Damage to the inferior frontal subfasciculus of the IFOF was related to change at 3 months. In language-nondominant hemisphere resections, increased MLF resection was associated with RCI decline at 3 months, and damage to the anterior subfasciculus was related to change at 3 months. Language-dominant and language-nondominant resections were treated as 1 cohort for semantic and phonemic fluency because there were no significant differences in postoperative decline between these groups. Postoperative seizure freedom was associated with an absence of significant language decline 12 months after surgery for semantic fluency. DISCUSSION We demonstrate a relationship between fiber transection and naming decline after temporal lobe resection. Individualized surgical planning to spare white matter fiber bundles could help to preserve language function after surgery.
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Affiliation(s)
- Lawrence Peter Binding
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia.
| | - Debayan Dasgupta
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Peter Neal Taylor
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Pamela Jane Thompson
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Aidan G O'Keeffe
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Jane de Tisi
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Andrew William McEvoy
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Anna Miserocchi
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Gavin P Winston
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - John S Duncan
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
| | - Sjoerd B Vos
- From the Department of Computer Science (L.P.B., S.B.V.), Centre for Medical Image Computing, Department of Clinical and Experimental Epilepsy (L.B.P., D.D., P.N.T., P.J.T., J.d.T., A.W.M., A.M., G.P.W., J.S.D.), UCL Queen Square Institute of Neurology, and Neuroradiological Academic Unit (S.B.V.), UCL Queen Square Institute of Neurology, University College London; Victor Horsley Department of Neurosurgery (D.D., A.W.M., A.M.), and Department of Neuropsychology (P.J.T.), National Hospital for Neurology and Neurosurgery, Queen Square, London; CNNP Lab (P.N.T.), Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University; School of Mathematical Sciences (A.G.O.), University of Nottingham; Epilepsy Society MRI Unit (J.d.T., G.P.W., J.S.D.), Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom; Department of Medicine (G.P.W.), Division of Neurology, Queen's University, Kingston, Canada; and Centre for Microscopy (S.B.V), Characterisation, and Analysis, The University of Western Australia, Nedlands, Australia
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9
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Janssen N, Kessels RPC, Mars RB, Llera A, Beckmann CF, Roelofs A. Dissociating the functional roles of arcuate fasciculus subtracts in speech production. Cereb Cortex 2023; 33:2539-2547. [PMID: 35709759 PMCID: PMC10016035 DOI: 10.1093/cercor/bhac224] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 11/12/2022] Open
Abstract
Recent tractography and microdissection studies have shown that the left arcuate fasciculus (AF)-a fiber tract thought to be crucial for speech production-consists of a minimum of 2 subtracts directly connecting the temporal and frontal cortex. These subtracts link the posterior superior temporal gyrus (STG) and middle temporal gyrus (MTG) to the inferior frontal gyrus. Although they have been hypothesized to mediate different functions in speech production, direct evidence for this hypothesis is lacking. To functionally segregate the 2 AF segments, we combined functional magnetic resonance imaging with diffusion-weighted imaging and probabilistic tractography using 2 prototypical speech production tasks, namely spoken pseudoword repetition (tapping sublexical phonological mapping) and verb generation (tapping lexical-semantic mapping). We observed that the repetition of spoken pseudowords is mediated by the subtract of STG, while generating an appropriate verb to a spoken noun is mediated by the subtract of MTG. Our findings provide strong evidence for a functional dissociation between the AF subtracts, namely a sublexical phonological mapping by the STG subtract and a lexical-semantic mapping by the MTG subtract. Our results contribute to the unraveling of a century-old controversy concerning the functional role in speech production of a major fiber tract involved in language.
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Affiliation(s)
- Nikki Janssen
- Corresponding author: Donders Institute for Brain, Cognition and Behaviour, Radboud University, Thomas van Aquinostraat 3, 6525 GD, Nijmegen, the Netherlands.
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, PO Box 9104, 6500 HE Nijmegen, the Netherlands
- Department of Medical Psychology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, the Netherlands
- Vincent van Gogh Institute for Psychiatry, Centre of Excellence for Korsakoff and Alcohol-Related Cognitive Disorders, D'n Herk 90, 5803 DN, Venray, the Netherlands
| | - Rogier B Mars
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, PO Box 9104, 6500 HE Nijmegen, the Netherlands
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX39DU, United Kingdom
| | - Alberto Llera
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, PO Box 9104, 6500 HE Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre Nijmegen, Postbus 9101, Nijmegen, 6500 HB, the Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, PO Box 9104, 6500 HE Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre Nijmegen, Postbus 9101, Nijmegen, 6500 HB, the Netherlands
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX39DU, United Kingdom
| | - Ardi Roelofs
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, PO Box 9104, 6500 HE Nijmegen, the Netherlands
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10
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The connectivity-based parcellation of the angular gyrus: fiber dissection and MR tractography study. Brain Struct Funct 2023; 228:121-130. [PMID: 36056938 DOI: 10.1007/s00429-022-02555-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 08/14/2022] [Indexed: 01/07/2023]
Abstract
The angular gyrus (AG) wraps the posterior end of the superior temporal sulcus (STS), so it is considered a continuation of the superior temporal gyrus (STG)/ middle temporal gyrus (MTG) and forms the inferior parietal lobule (IPL) with the supramarginal gyrus (SMG). The AG was functionally divided in the literature, but there is no fiber dissection study in this context. This study divided AG into superior (sAG) and inferior (iAG) parts by focusing on STS. Red, blue silicone-injected eight and four non-silicone-injected human cadaveric cerebrums were dissected via the Klingler method focusing on the AG. White matter (WM) tracts identified during dissection were then reconstructed on the Human Connectome Project 1065 individual template for validation. According to this study, superior longitudinal fasciculus (SLF) II and middle longitudinal fasciculus (MdLF) are associated with sAG; the anterior commissure (AC), optic radiation (OR) with iAG; the arcuate fasciculus (AF), inferior frontooccipital fasciculus (IFOF), and tapetum (Tp) with both parts. In cortical parcellation of AG based on STS, sAG and iAG were associated with different fiber tracts. Although it has been shown in previous studies that there are functionally different subunits with AG parcellation, here, for the first time, other functions of the subunits have been revealed with cadaveric dissection and tractography images.
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11
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Reisch K, Böttcher F, Tuncer MS, Schneider H, Vajkoczy P, Picht T, Fekonja LS. Tractography-based navigated TMS language mapping protocol. Front Oncol 2022; 12:1008442. [PMID: 36568245 PMCID: PMC9780436 DOI: 10.3389/fonc.2022.1008442] [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: 07/31/2022] [Accepted: 11/25/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction This study explores the feasibility of implementing a tractography-based navigated transcranial magnetic stimulation (nTMS) language mapping protocol targeting cortical terminations of the arcuate fasciculus (AF). We compared the results and distribution of errors from the new protocol to an established perisylvian nTMS protocol that stimulated without any specific targeting over the entire perisylvian cortex. Methods Sixty right-handed patients with language-eloquent brain tumors were examined in this study with one half of the cohort receiving the tractographybased protocol and the other half receiving the perisylvian protocol. Probabilistic tractography using MRtrix3 was performed for patients in the tractography-based group to identify the AF's cortical endpoints. nTMS mappings were performed and resulting language errors were classified into five psycholinguistic groups. Results Tractography and nTMS were successfully performed in all patients. The tractogram-based group showed a significantly higher median overall ER than the perisylvian group (3.8% vs. 2.9% p <.05). The median ER without hesitation errors in the tractogram-based group was also significantly higher than the perisylvian group (2.0% vs. 1.4%, p <.05). The ERs by error type showed no significant differences between protocols except in the no response ER, with a higher median ER in the tractogram-based group (0.4% vs. 0%, p <.05). Analysis of ERs based on the Corina cortical parcellation system showed especially high nTMS ERs over the posterior middle temporal gyrus (pMTG) in the perisylvian protocol and high ERs over the middle and ventral postcentral gyrus (vPoG), the opercular inferior frontal gyrus (opIFG) and the ventral precentral gyrus (vPrG) in the tractography-based protocol. Discussion By considering the white matter anatomy and performing nTMS on the cortical endpoints of the AF, the efficacy of nTMS in disrupting patients' object naming abilities was increased. The newly introduced method showed proof of concept and resulted in AF-specific ERs and noninvasive cortical language maps, which could be applied to additional fiber bundles related to the language network in future nTMS studies.
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Affiliation(s)
- Klara Reisch
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
| | - Franziska Böttcher
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
| | - Mehmet S. Tuncer
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
| | - Heike Schneider
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
| | - Peter Vajkoczy
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
| | - Thomas Picht
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
- Cluster of Excellence: “Matters of Activity. Image Space Material”, Humboldt University, Berlin, Germany
| | - Lucius S. Fekonja
- Image Guidance Lab, Department of Neurosurgery, Charité – University Hospital, Berlin, Germany
- Cluster of Excellence: “Matters of Activity. Image Space Material”, Humboldt University, Berlin, Germany
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12
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Silva AB, Liu JR, Zhao L, Levy DF, Scott TL, Chang EF. A Neurosurgical Functional Dissection of the Middle Precentral Gyrus during Speech Production. J Neurosci 2022; 42:8416-8426. [PMID: 36351829 PMCID: PMC9665919 DOI: 10.1523/jneurosci.1614-22.2022] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 08/30/2022] [Indexed: 11/17/2022] Open
Abstract
Classical models have traditionally focused on the left posterior inferior frontal gyrus (Broca's area) as a key region for motor planning of speech production. However, converging evidence suggests that it is not critical for either speech motor planning or execution. Alternative cortical areas supporting high-level speech motor planning have yet to be defined. In this review, we focus on the precentral gyrus, whose role in speech production is often thought to be limited to lower-level articulatory muscle control. In particular, we highlight neurosurgical investigations that have shed light on a cortical region anatomically located near the midpoint of the precentral gyrus, hence called the middle precentral gyrus (midPrCG). The midPrCG is functionally located between dorsal hand and ventral orofacial cortical representations and exhibits unique sensorimotor and multisensory functions relevant for speech processing. This includes motor control of the larynx, auditory processing, as well as a role in reading and writing. Furthermore, direct electrical stimulation of midPrCG can evoke complex movements, such as vocalization, and selective injury can cause deficits in verbal fluency, such as pure apraxia of speech. Based on these findings, we propose that midPrCG is essential to phonological-motoric aspects of speech production, especially syllabic-level speech sequencing, a role traditionally ascribed to Broca's area. The midPrCG is a cortical brain area that should be included in contemporary models of speech production with a unique role in speech motor planning and execution.
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Affiliation(s)
- Alexander B Silva
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
- Medical Scientist Training Program, University of California, San Francisco, California, 94158
- Graduate Program in Bioengineering, University of California, Berkeley, California 94720, & University of California, San Francisco, California, 94158
| | - Jessie R Liu
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
- Graduate Program in Bioengineering, University of California, Berkeley, California 94720, & University of California, San Francisco, California, 94158
| | - Lingyun Zhao
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
| | - Deborah F Levy
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
| | - Terri L Scott
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, California, 94158
- Weill Institute for Neurosciences, University of California, San Francisco, California, 94158
- Graduate Program in Bioengineering, University of California, Berkeley, California 94720, & University of California, San Francisco, California, 94158
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13
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In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography. Brain Struct Funct 2022; 227:2647-2665. [PMID: 36114861 PMCID: PMC9618529 DOI: 10.1007/s00429-022-02561-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022]
Abstract
The human subthalamic area is a region of high anatomical complexity, tightly packed with tiny fiber bundles. Some of them, including the pallidothalamic, cerebello-thalamic, and mammillothalamic tracts, are relevant targets in functional neurosurgery for various brain diseases. Diffusion-weighted imaging-based tractography has been suggested as a useful tool to map white matter pathways in the human brain in vivo and non-invasively, though the reconstruction of these specific fiber bundles is challenging due to their small dimensions and complex anatomy. To the best of our knowledge, a population-based, in vivo probabilistic atlas of subthalamic white matter tracts is still missing. In the present work, we devised an optimized tractography protocol for reproducible reconstruction of the tracts of subthalamic area in a large data sample from the Human Connectome Project repository. First, we leveraged the super-resolution properties and high anatomical detail provided by short tracks track-density imaging (stTDI) to identify the white matter bundles of the subthalamic area on a group-level template. Tracts identification on the stTDI template was also aided by visualization of histological sections of human specimens. Then, we employed this anatomical information to drive tractography at the subject-level, optimizing tracking parameters to maximize between-subject and within-subject similarities as well as anatomical accuracy. Finally, we gathered subject level tracts reconstructed with optimized tractography into a large-scale, normative population atlas. We suggest that this atlas could be useful in both clinical anatomy and functional neurosurgery settings, to improve our understanding of the complex morphology of this important brain region.
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14
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Cheng L, Chiu Y, Lin Y, Li W, Hong T, Yang C, Shih C, Yeh T, Tseng WI, Yu H, Hsieh J, Chen L. Long-term musical training induces white matter plasticity in emotion and language networks. Hum Brain Mapp 2022; 44:5-17. [PMID: 36005832 PMCID: PMC9783470 DOI: 10.1002/hbm.26054] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 07/02/2022] [Accepted: 07/15/2022] [Indexed: 02/05/2023] Open
Abstract
Numerous studies have reported that long-term musical training can affect brain functionality and induce structural alterations in the brain. Singing is a form of vocal musical expression with an unparalleled capacity for communicating emotion; however, there has been relatively little research on neuroplasticity at the network level in vocalists (i.e., noninstrumental musicians). Our objective in this study was to elucidate changes in the neural network architecture following long-term training in the musical arts. We employed a framework based on graph theory to depict the connectivity and efficiency of structural networks in the brain, based on diffusion-weighted images obtained from 35 vocalists, 27 pianists, and 33 nonmusicians. Our results revealed that musical training (both voice and piano) could enhance connectivity among emotion-related regions of the brain, such as the amygdala. We also discovered that voice training reshaped the architecture of experience-dependent networks, such as those involved in vocal motor control, sensory feedback, and language processing. It appears that vocal-related changes in areas such as the insula, paracentral lobule, supramarginal gyrus, and putamen are associated with functional segregation, multisensory integration, and enhanced network interconnectivity. These results suggest that long-term musical training can strengthen or prune white matter connectivity networks in an experience-dependent manner.
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Affiliation(s)
- Li‐Kai Cheng
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Yu‐Hsien Chiu
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Ying‐Chia Lin
- Center for Advanced Imaging Innovation and Research (CAIR)NYU Grossman School of MedicineNew YorkNew YorkUSA,Center for Biomedical Imaging, Department of RadiologyNYU Grossman School of MedicineNew YorkNew YorkUSA
| | - Wei‐Chi Li
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Tzu‐Yi Hong
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Ching‐Ju Yang
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Chung‐Heng Shih
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan
| | - Tzu‐Chen Yeh
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Department of RadiologyTaipei Veterans General HospitalTaipeiTaiwan
| | - Wen‐Yih Isaac Tseng
- Institute of Medical Device and ImagingNational Taiwan University College of MedicineTaipeiTaiwan
| | - Hsin‐Yen Yu
- Graduate Institute of Arts and Humanities EducationTaipei National University of the ArtsTaipeiTaiwan
| | - Jen‐Chuen Hsieh
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan,Brain Research CenterNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Department of Biological Science and Technology, College of Biological Science and TechnologyNational Yang Ming Chiao Tung UniversityHsinchuTaiwan
| | - Li‐Fen Chen
- Institute of Brain ScienceNational Yang Ming Chiao Tung UniversityTaipeiTaiwan,Integrated Brain Research Unit, Department of Medical ResearchTaipei Veterans General HospitalTaipeiTaiwan,Brain Research CenterNational Yang Ming Chiao Tung UniversityTaipeiTaiwan
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15
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Segregated circuits for phonemic and semantic fluency: A novel patient-tailored disconnection study. Neuroimage Clin 2022; 36:103149. [PMID: 35970113 PMCID: PMC9400120 DOI: 10.1016/j.nicl.2022.103149] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/05/2022] [Accepted: 08/07/2022] [Indexed: 12/14/2022]
Abstract
Phonemic and semantic fluency are neuropsychological tests widely used to assess patients' language and executive abilities and are highly sensitive tests in detecting language deficits in glioma patients. However, the networks that are involved in these tasks could be distinct and suggesting either a frontal (phonemic) or temporal (semantic) involvement. 42 right-handed patients (26 male, mean age = 52.5 years, SD=±13.3) were included in this retrospective study. Patients underwent awake (54.8%) or asleep (45.2%) surgery for low-grade (16.7%) or high-grade-glioma (83.3%) in the frontal (64.3%) or temporal lobe (35.7%) of the left (50%) or right (50%) hemisphere. Pre-operative tractography was reconstructed for each patient, with segmentation of the inferior fronto-occipital fasciculus (IFOF), arcuate fasciculus (AF), uncinate fasciculus (UF), inferior longitudinal fasciculus (ILF), third branch of the superior longitudinal fasciculus (SLF-III), frontal aslant tract (FAT), and cortico-spinal tract (CST). Post-operative percentage of damage and disconnection of each tract, based on the patients' surgical cavities, were correlated with verbal fluencies scores at one week and one month after surgery. Analyses of differences between fluency scores at these timepoints (before surgery, one week and one month after surgery) were performed; lesion-symptom mapping was used to identify the correlation between cortical areas and post-operative scores. Immediately after surgery, a transient impairment of verbal fluency was observed, that improved within a month. Left hemisphere lesions were related to a worse verbal fluency performance, being a damage to the left superior frontal or temporal gyri associated with phonemic or semantic fluency deficit, respectively. At a subcortical level, disconnection analyses revealed that fluency scores were associated to the involvement of the left FAT and the left frontal part of the IFOF for phonemic fluency, and the association was still present one month after surgery. For semantic fluency, the correlation between post-surgery performance emerged for the left AF, UF, ILF and the temporal part of the IFOF, but disappeared at the follow-up. This approach based on the patients' pre-operative tractography, allowed to trace for the first time a dissociation between white matter pathways integrity and verbal fluency after surgery for glioma resection. Our results confirm the involvement of a frontal anterior pathway for phonemic fluency and a ventral temporal pathway for semantic fluency. Finally, our longitudinal results suggest that the frontal executive pathway requires a longer interval to recover compared to the semantic one.
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Shibahara I, Saito R, Kanamori M, Sonoda Y, Sato S, Hide T, Tominaga T, Kumabe T. Role of the parietooccipital fissure and its implications in the pathophysiology of posterior medial temporal gliomas. J Neurosurg 2022; 137:505-514. [PMID: 34905728 DOI: 10.3171/2021.7.jns21990] [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: 04/17/2021] [Accepted: 07/19/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The parietooccipital fissure is an anatomical landmark that divides the temporal, occipital, and parietal lobes. More than 40% of gliomas are located in these three lobes, and the temporal lobe is the most common location. The parietooccipital fissure is located just posterior to the medial temporal lobe, but little is known about the clinical significance of this fissure in gliomas. The authors investigated the anatomical correlations between the parietooccipital fissure and posterior medial temporal gliomas to reveal the radiological features and unique invasion patterns of these gliomas. METHODS The authors retrospectively reviewed records of all posterior medial temporal glioma patients treated at their institutions and examined the parietooccipital fissure. To clarify how the surrounding structures were invaded in each case, the authors categorized tumor invasion as being toward the parietal lobe, occipital lobe, isthmus of the cingulate gyrus, insula/basal ganglia, or splenium of the corpus callosum. DSI Studio was used to visualize the fiber tractography running through the posterior medial temporal lobe. RESULTS Twenty-four patients with posterior medial temporal gliomas were identified. All patients presented with a parietooccipital fissure as an uninterrupted straight sulcus and as the posterior border of the tumor. Invasion direction was toward the parietal lobe in 13 patients, the occipital lobe in 4 patients, the isthmus of the cingulate gyrus in 19 patients, the insula/basal ganglia in 3 patients, and the splenium of the corpus callosum in 8 patients. Although the isthmus of the cingulate gyrus and the occipital lobe are located just posterior to the posterior medial temporal lobe, there was a significantly greater preponderance of invasion toward the isthmus of the cingulate gyrus than toward the occipital lobe (p = 0.00030, McNemar test). Based on Schramm's classification for the medial temporal tumors, 4 patients had type A and 20 patients had type D tumors. The parietooccipital fissure determined the posterior border of the tumors, resulting in a unique and identical radiological feature. Diffusion spectrum imaging (DSI) tractography indicated that the fibers running through the posterior medial temporal lobe toward the occipital lobe had to detour laterally around the bottom of the parietooccipital fissure. CONCLUSIONS Posterior medial temporal gliomas present identical invasion patterns, resulting in unique radiological features that are strongly affected by the parietooccipital fissure. The parietooccipital fissure is a key anatomical landmark for understanding the complex infiltrating architecture of posterior medial temporal gliomas.
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Affiliation(s)
- Ichiyo Shibahara
- 1Department of Neurosurgery, Kitasato University School of Medicine, Sagamihara
| | - Ryuta Saito
- 2Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya
| | - Masayuki Kanamori
- 3Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi; and
| | - Yukihiko Sonoda
- 4Department of Neurosurgery, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Sumito Sato
- 1Department of Neurosurgery, Kitasato University School of Medicine, Sagamihara
| | - Takuichiro Hide
- 1Department of Neurosurgery, Kitasato University School of Medicine, Sagamihara
| | - Teiji Tominaga
- 3Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi; and
| | - Toshihiro Kumabe
- 1Department of Neurosurgery, Kitasato University School of Medicine, Sagamihara
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17
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Wu D, Zhang M, Geng J, Chen X. Noninvasive Prediction of Language Lateralization Through Arcuate Fasciculus Tractography in Patients With Low-Grade Gliomas: Correlation With The Wada Test. Front Oncol 2022; 12:936228. [PMID: 35936675 PMCID: PMC9354698 DOI: 10.3389/fonc.2022.936228] [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: 05/05/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Language lateralization is unique to humans, so clarifying dominant side is helpful for removing gliomas involving language areas. This study investigated the arcuate fasciculus (AF) reconstructed by diffusion tensor imaging–based tractography (DTT) in predicting language lateralization in patients with low-grade gliomas. Wada test was performed to determine the language Dominant Hemisphere (DH) and the Contralateral Hemisphere. DTI data [1.5-T magnetic resonance imaging (MRI)] was used to reconstruct AF by two independent operators using a DTT method. Fiber number, volume, and fractional anisotropy (FA) of bilateral reconstructed AF were measured. Lateralization indexes (LIs), including Number Index (NI), Volume Index (VI), and FA Index (FI), were accordingly calculated by mean values. A total of 21 patients with WHO Grade II gliomas in the left hemisphere were included. Every patient received a successful Wada test and reconstruction of bilateral AF. DTT metrics of reconstructed AF, such as fiber number, volume, and FA, showed significantly asymmetric between hemispheres. All the LI (NI, VI, and FI) values were statistically higher in the DH determined by the Wada test. No discrepancy was found between the prediction using the cutoff values of DTT metrics and the results of WADA test. The Kappa values were 0.829, 0.696, and 0.611, indicating NI and VI as more reliable predictor than FI although FI itself may also be feasible. Compared with the Wada test, we consider that DTT of AF is a non-invasive, simple, relatively accurate, and feasible method in predicting language lateralization in patients with low-grade gliomas.
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Affiliation(s)
- Dongdong Wu
- Department of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Meng Zhang
- Department of Neurosurgery, The Second Hospital of Southern Theater of Chinese Navy, Sanya, China
| | - Jiefeng Geng
- Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaolei Chen
- Department of Neurosurgery, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Xiaolei Chen,
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18
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Conrad J, Boegle R, Ruehl RM, Dieterich M. Evaluating the rare cases of cortical vertigo using disconnectome mapping. Brain Struct Funct 2022; 227:3063-3073. [PMID: 35838791 DOI: 10.1007/s00429-022-02530-w] [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: 02/17/2022] [Accepted: 06/26/2022] [Indexed: 12/26/2022]
Abstract
In rare cases, cortical infarcts lead to vertigo. We evaluated structural and functional disconnection in patients with acute vertigo due to unilateral ischemic cortical infarcts compared to infarcts without vertigo in a similar location with a focus on the connectivity of the vestibular cortex, i.e., the parieto-opercular (retro-)insular cortex (PIVC). Using lesion maps from the ten published case reports, we computed lesion-functional connectivity networks in a set of healthy individuals from the human connectome project. The probability of lesion disconnection was evaluated by white matter disconnectome mapping. In all ten cases with rotational vertigo, disconnections of interhemispheric connections via the corpus callosum were present but were spared in lesions of the PIVC without vertigo. Further, the arcuate fascicle was affected in 90% of the lesions that led to vertigo and spared in lesions that did not lead to vertigo. The lesion-functional connectivity network included vestibulo-cerebellar hubs, the vestibular nuclei, the PIVC, the retro-insular and posterior insular cortex, the multisensory vestibular ventral intraparietal area, motion-sensitive areas (temporal area MT+ and cingulate visual sulcus) as well as hubs for ocular motor control (lateral intraparietal area, cingulate and frontal eye fields). However, this was not sufficient to differentiate between lesions with and without vertigo. Disruption of interhemispheric connections of both PIVC via the corpus callosum and intra-hemispheric disconnection via the arcuate fascicle might be the distinguishing factor between vestibular cortical network lesions that manifest with vertigo compared to those without vertigo.
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Affiliation(s)
- Julian Conrad
- Department of Neurology, Munich University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. .,German Center for Vertigo and Balance Disorders (DSGZ), Munich University Hospital, LMU Munich, Munich, Germany.
| | - Rainer Boegle
- Department of Neurology, Munich University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Graduate School for Systemic Neuroscience (GSN-LMU), LMU Munich, Munich, Germany
| | - Ria Maxine Ruehl
- Department of Neurology, Munich University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), Munich University Hospital, LMU Munich, Munich, Germany
| | - Marianne Dieterich
- Department of Neurology, Munich University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), Munich University Hospital, LMU Munich, Munich, Germany.,Graduate School for Systemic Neuroscience (GSN-LMU), LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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19
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Rheault F, Schilling KG, Obaid S, Begnoche JP, Cutting LE, Descoteaux M, Landman BA, Petit L. The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow. Brain Struct Funct 2022; 227:2191-2207. [PMID: 35672532 PMCID: PMC9884471 DOI: 10.1007/s00429-022-02518-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/22/2022] [Indexed: 01/31/2023]
Abstract
Efficient communication across fields of research is challenging, especially when they are at opposite ends of the physical and digital spectrum. Neuroanatomy and neuroimaging may seem close to each other. When neuroimaging studies try to isolate structures of interest, according to a specific anatomical definition, a variety of challenges emerge. It is a non-trivial task to convert the neuroanatomical knowledge to instructions and rules to be executed in neuroimaging software. In the process called "virtual dissection" used to isolate coherent white matter structure in tractography, each white matter pathway has its own set of landmarks (regions of interest) used as inclusion and exclusion criteria. The ability to segment and study these pathways is critical for scientific progress, yet, variability may depend on region placement, and be influenced by the person positioning the region (i.e., a rater). When raters' variability is taken into account, the impact made by each region of interest becomes even more difficult to interpret. A delicate balance between anatomical validity, impact on the virtual dissection and raters' reproducibility emerge. In this work, we investigate this balance by leveraging manual delineation data of a group of raters from a previous study to quantify which set of landmarks and criteria contribute most to variability in virtual dissection. To supplement our analysis, the variability of each pathway with a region-by-region exploration was performed. We present a detailed exploration and description of each region, the causes of variability and its impacts. Finally, we provide a brief overview of the lessons learned from our previous virtual dissection projects and propose recommendations for future virtual dissection protocols as well as perspectives to reach better community agreement when it comes to anatomical definitions of white matter pathways.
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Affiliation(s)
- Francois Rheault
- Electrical and Computer Engineering, Vanderbilt University, Nashville, USA
| | - Kurt G. Schilling
- Vanderbilt University Institute of Imaging, Nashville, USA,Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, USA
| | - Sami Obaid
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Département d’Informatique, Université de Sherbrooke, Sherbrooke, Canada,Health Center Research Center, University of Montreal, Montreal, Canada
| | - John P. Begnoche
- The Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, Nashville, USA
| | - Laurie E. Cutting
- Vanderbilt Kennedy Center, University Medical Center, VanderbiltNashville, USA
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Département d’Informatique, Université de Sherbrooke, Sherbrooke, Canada
| | - Bennett A. Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, USA,Vanderbilt University Institute of Imaging, Nashville, USA,Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, USA,Computer Science, Vanderbilt University, Nashville, USA
| | - Laurent Petit
- Groupe d’Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives, CNRS, CEA University of Bordeaux, Bordeaux, France
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20
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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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21
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Binding LP, Dasgupta D, Giampiccolo D, Duncan JS, Vos SB. Structure and function of language networks in temporal lobe epilepsy. Epilepsia 2022; 63:1025-1040. [PMID: 35184291 PMCID: PMC9773900 DOI: 10.1111/epi.17204] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 02/09/2022] [Accepted: 02/16/2022] [Indexed: 12/30/2022]
Abstract
Individuals with temporal lobe epilepsy (TLE) may have significant language deficits. Language capabilities may further decline following temporal lobe resections. The language network, comprising dispersed gray matter regions interconnected with white matter fibers, may be atypical in individuals with TLE. This review explores the structural changes to the language network and the functional reorganization of language abilities in TLE. We discuss the importance of detailed reporting of patient's characteristics, such as, left- and right-sided focal epilepsies as well as lesional and nonlesional pathological subtypes. These factors can affect the healthy functioning of gray and/or white matter. Dysfunction of white matter and displacement of gray matter function could concurrently impact their ability, in turn, producing an interactive effect on typical language organization and function. Surgical intervention can result in impairment of function if the resection includes parts of this structure-function network that are critical to language. In addition, impairment may occur if language function has been reorganized and is included in a resection. Conversely, resection of an epileptogenic zone may be associated with recovery of cortical function and thus improvement in language function. We explore the abnormality of functional regions in a clinically applicable framework and highlight the differences in the underlying language network. Avoidance of language decline following surgical intervention may depend on tailored resections to avoid critical areas of gray matter and their white matter connections. Further work is required to elucidate the plasticity of the language network in TLE and to identify sub-types of language representation, both of which will be useful in planning surgery to spare language function.
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Affiliation(s)
- Lawrence P. Binding
- Department of Computer ScienceCentre for Medical Image ComputingUniversity College LondonLondonUK
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Debayan Dasgupta
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- Victor Horsley Department of NeurosurgeryNational Hospital for Neurology and NeurosurgeryLondonUK
| | - Davide Giampiccolo
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- Victor Horsley Department of NeurosurgeryNational Hospital for Neurology and NeurosurgeryLondonUK
- Institute of NeuroscienceCleveland Clinic LondonLondonUK
- Department of NeurosurgeryVerona University HospitalUniversity of VeronaVeronaItaly
| | - John S. Duncan
- Department of Clinical and Experimental EpilepsyUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Sjoerd B. Vos
- Department of Computer ScienceCentre for Medical Image ComputingUniversity College LondonLondonUK
- Neuroradiological Academic UnitUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- Centre for Microscopy, Characterisation, and AnalysisThe University of Western AustraliaNedlandsWestern AustraliaAustralia
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22
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Radwan AM, Sunaert S, Schilling K, Descoteaux M, Landman BA, Vandenbulcke M, Theys T, Dupont P, Emsell L. An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. Neuroimage 2022; 254:119029. [PMID: 35231632 DOI: 10.1016/j.neuroimage.2022.119029] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/19/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022] Open
Abstract
Virtual dissection of white matter (WM) using diffusion MRI tractography is confounded by its poor reproducibility. Despite the increased adoption of advanced reconstruction models, early region-of-interest driven protocols based on diffusion tensor imaging (DTI) remain the dominant reference for virtual dissection protocols. Here we bridge this gap by providing a comprehensive description of typical WM anatomy reconstructed using a reproducible automated subject-specific parcellation-based approach based on probabilistic constrained-spherical deconvolution (CSD) tractography. We complement this with a WM template in MNI space comprising 68 bundles, including all associated anatomical tract selection labels and associated automated workflows. Additionally, we demonstrate bundle inter- and intra-subject variability using 40 (20 test-retest) datasets from the human connectome project (HCP) and 5 sessions with varying b-values and number of b-shells from the single-subject Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation (MASSIVE) dataset. The most reliably reconstructed bundles were the whole pyramidal tracts, primary corticospinal tracts, whole superior longitudinal fasciculi, frontal, parietal and occipital segments of the corpus callosum and middle cerebellar peduncles. More variability was found in less dense bundles, e.g., the fornix, dentato-rubro-thalamic tract (DRTT), and premotor pyramidal tract. Using the DRTT as an example, we show that this variability can be reduced by using a higher number of seeding attempts. Overall inter-session similarity was high for HCP test-retest data (median weighted-dice = 0.963, stdev = 0.201 and IQR = 0.099). Compared to the HCP-template bundles there was a high level of agreement for the HCP test-retest data (median weighted-dice = 0.747, stdev = 0.220 and IQR = 0.277) and for the MASSIVE data (median weighted-dice = 0.767, stdev = 0.255 and IQR = 0.338). In summary, this WM atlas provides an overview of the capabilities and limitations of automated subject-specific probabilistic CSD tractography for mapping white matter fasciculi in healthy adults. It will be most useful in applications requiring a reproducible parcellation-based dissection protocol, and as an educational resource for applied neuroimaging and clinical professionals.
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Affiliation(s)
- Ahmed M Radwan
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium.
| | - Stefan Sunaert
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; UZ Leuven, Department of Radiology, Leuven, Belgium
| | - Kurt Schilling
- Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, TN, USA
| | | | - Bennett A Landman
- Vanderbilt University, Department of Electrical Engineering and Computer Engineering, Nashville, TN, USA
| | - Mathieu Vandenbulcke
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
| | - Tom Theys
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, Leuven, Belgium; UZ Leuven, Department of Neurosurgery, Leuven, Belgium
| | - Patrick Dupont
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven, Belgium
| | - Louise Emsell
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
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23
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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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24
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Braun Janzen T, Koshimori Y, Richard NM, Thaut MH. Rhythm and Music-Based Interventions in Motor Rehabilitation: Current Evidence and Future Perspectives. Front Hum Neurosci 2022; 15:789467. [PMID: 35111007 PMCID: PMC8801707 DOI: 10.3389/fnhum.2021.789467] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/27/2021] [Indexed: 12/17/2022] Open
Abstract
Research in basic and clinical neuroscience of music conducted over the past decades has begun to uncover music’s high potential as a tool for rehabilitation. Advances in our understanding of how music engages parallel brain networks underpinning sensory and motor processes, arousal, reward, and affective regulation, have laid a sound neuroscientific foundation for the development of theory-driven music interventions that have been systematically tested in clinical settings. Of particular significance in the context of motor rehabilitation is the notion that musical rhythms can entrain movement patterns in patients with movement-related disorders, serving as a continuous time reference that can help regulate movement timing and pace. To date, a significant number of clinical and experimental studies have tested the application of rhythm- and music-based interventions to improve motor functions following central nervous injury and/or degeneration. The goal of this review is to appraise the current state of knowledge on the effectiveness of music and rhythm to modulate movement spatiotemporal patterns and restore motor function. By organizing and providing a critical appraisal of a large body of research, we hope to provide a revised framework for future research on the effectiveness of rhythm- and music-based interventions to restore and (re)train motor function.
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Affiliation(s)
- Thenille Braun Janzen
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
| | - Yuko Koshimori
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
- Brain Health Imaging Centre, CAMH, Toronto, ON, Canada
| | - Nicole M. Richard
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
- Faculty of Music, Belmont University, Nashville, TN, United States
| | - Michael H. Thaut
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
- *Correspondence: Michael H. Thaut,
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25
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Suo X, Guo L, Fu D, Ding H, Li Y, Qin W. A Comparative Study of Diffusion Fiber Reconstruction Models for Pyramidal Tract Branches. Front Neurosci 2021; 15:777377. [PMID: 34955727 PMCID: PMC8698251 DOI: 10.3389/fnins.2021.777377] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
Currently, comparative studies evaluating the quantification accuracy of pyramidal tracts (PT) and PT branches that were tracked based on four mainstream diffusion models are deficient. The present study aims to evaluate four mainstream models using the high-quality Human Connectome Project (HCP) dataset. Diffusion tensor imaging (DTI), diffusion spectral imaging (DSI), generalized Q-space sampling imaging (GQI), and Q-ball imaging (QBI) were used to construct the PT and PT branches in 50 healthy volunteers from the HCP. False and true PT fibers were identified based on anatomic information. One-way repeated measure analysis of variance and post hoc paired-sample t-test were performed to identify the best PT and PT branch quantification model. The number, percentage, and density of true fibers of PT obtained based on GQI and QBI were significantly larger than those based on DTI and DSI (all p < 0.0005, Bonferroni corrected), whereas false fibers yielded the opposite results (all p < 0.0005, Bonferroni corrected). More trunk branches (PTtrunk) were present in the four diffusion models compared with the upper limb (PTUlimb), lower limb (PTLlimb), and cranial (PTcranial) branches. In addition, significantly more true fibers were obtained in PTtrunk, PTUlimb, and PTLlimb based on the GQI and QBI compared with DTI and DSI (all p < 0.0005, Bonferroni corrected). Finally, GQI-based group probabilistic maps showed that the four PT branches exhibited relatively unique spatial distributions. Therefore, the GQI and QBI represent better diffusion models for the PT and PT branches. The group probabilistic maps of PT branches have been shared with the public to facilitate more precise studies on the plasticity of and the damage to the motor pathway.
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Affiliation(s)
- Xinjun Suo
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.,School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Lining Guo
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Dianxun Fu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Hao Ding
- Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.,School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Yihong Li
- School of Medical Imaging, Tianjin Medical University, Tianjin, China
| | - Wen Qin
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
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26
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Blazquez Freches G, Haak KV, Beckmann CF, Mars RB. Connectivity gradients on tractography data: Pipeline and example applications. Hum Brain Mapp 2021; 42:5827-5845. [PMID: 34559432 PMCID: PMC8596970 DOI: 10.1002/hbm.25623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/03/2021] [Accepted: 07/30/2021] [Indexed: 11/08/2022] Open
Abstract
Gray matter connectivity can be described in terms of its topographical organization, but the differential role of white matter connections underlying that organization is often unknown. In this study, we propose a method for unveiling principles of organization of both gray and white matter based on white matter connectivity as assessed using diffusion magnetic ressonance imaging (MRI) tractography with spectral embedding gradient mapping. A key feature of the proposed approach is its capacity to project the individual connectivity gradients it reveals back onto its input data in the form of projection images, allowing one to assess the contributions of specific white matter tracts to the observed gradients. We demonstrate the ability of our proposed pipeline to identify connectivity gradients in prefrontal and occipital gray matter. Finally, leveraging the use of tractography, we demonstrate that it is possible to observe gradients within the white matter bundles themselves. Together, the proposed framework presents a generalized way to assess both the topographical organization of structural brain connectivity and the anatomical features driving it.
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Affiliation(s)
- Guilherme Blazquez Freches
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityNijmegenThe Netherlands
| | - Koen V. Haak
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
| | - Christian F. Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical CenterNijmegenThe Netherlands
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nufeld Department of Clinical NeurosciencesJohn Radclife Hospital, University of OxfordOxfordUK
| | - Rogier B. Mars
- Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityNijmegenThe Netherlands
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27
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Li M, Yeh FC, Zeng Q, Wu X, Wang X, Zhu Z, Liu X, Liang J, Chen G, Zhang H, Feng Y, Li M. The trajectory of the medial longitudinal fasciculus in the human brain: A diffusion imaging-based tractography study. Hum Brain Mapp 2021; 42:6070-6086. [PMID: 34597450 PMCID: PMC8596984 DOI: 10.1002/hbm.25670] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/04/2021] [Accepted: 09/10/2021] [Indexed: 01/23/2023] Open
Abstract
The aim of this study is to investigate the trajectory of medial longitudinal fasciculus (MLF) and explore its anatomical relationship with the oculomotor nerve using tractography technique. The MLF and oculomotor nerve were reconstructed at the same time with preset three region of interests (ROIs): one set at the area of rostral midbrain, one placed on the MLF area at the upper pons, and one placed at the cisternal part of the oculomotor nerve. This mapping protocol was tested in an HCP‐1065 template, 35 health subjects from Massachusetts General Hospital (MGH), 20 healthy adults and 6 brainstem cavernous malformation (BCM) patients with generalized q‐sampling imaging (GQI)‐based tractography. Finally, the 200 μm brainstem template from Center for In Vivo Microscopy, Duke University (Duke CIVM), was used to validate the trajectory of reconstructed MLF. The MLF and oculomotor nerve were reconstructed in the HCP‐1065 template, 35 MGH health subjects, 20 healthy adults and 6 BCM patients. The MLF was in conjunction with the ipsilateral mesencephalic part of the oculomotor nerve. The displacement of MLF was identified in all BCM patients. Decreased QA, RDI and FA were found in the MLF of lesion side, indicating axonal loss and/or edema of displaced MLF. The reconstructed MLF in Duke CIVM brainstem 200 μm template corresponded well with histological anatomy. The MLF and oculomotor nerve were visualized accurately with our protocol using GQI‐based fiber tracking. This GQI‐based tractography is an important tool in the reconstruction and evaluation of MLF.
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Affiliation(s)
- Mengjun Li
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Department of Bioengineering, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Qingrun Zeng
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.,Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou, China
| | - Xiaolong Wu
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Xu Wang
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Zixin Zhu
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Xiaohai Liu
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Jiantao Liang
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Ge Chen
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Hongqi Zhang
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
| | - Yuanjing Feng
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.,Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou, China
| | - Mingchu Li
- Department of Neurosurgery, Capital Medical University Xuanwu Hospital, Beijing, China
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28
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Maffei C, Lee C, Planich M, Ramprasad M, Ravi N, Trainor D, Urban Z, Kim M, Jones RJ, Henin A, Hofmann SG, Pizzagalli DA, Auerbach RP, Gabrieli JDE, Whitfield-Gabrieli S, Greve DN, Haber SN, Yendiki A. Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data. Neuroimage 2021; 245:118706. [PMID: 34780916 PMCID: PMC8835483 DOI: 10.1016/j.neuroimage.2021.118706] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/11/2021] [Accepted: 11/01/2021] [Indexed: 11/27/2022] Open
Abstract
The development of scanners with ultra-high gradient strength, spearheaded by the Human Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion resolution that is feasible for in vivo diffusion MRI acquisitions. The improved quality of the data can be exploited to achieve higher accuracy in the inference of both microstructural and macrostructural anatomy. However, such high-quality data can only be acquired on a handful of Connectom MRI scanners worldwide, while remaining prohibitive in clinical settings because of the constraints imposed by hardware and scanning time. In this study, we first update the classical protocols for tractography-based, manual annotation of major white-matter pathways, to adapt them to the much greater volume and variability of the streamlines that can be produced from today’s state-of-the-art diffusion MRI data. We then use these protocols to annotate 42 major pathways manually in data from a Connectom scanner. Finally, we show that, when we use these manually annotated pathways as training data for global probabilistic tractography with anatomical neighborhood priors, we can perform highly accurate, automated reconstruction of the same pathways in much lower-quality, more widely available diffusion MRI data. The outcomes of this work include both a new, comprehensive atlas of WM pathways from Connectom data, and an updated version of our tractography toolbox, TRActs Constrained by UnderLying Anatomy (TRACULA), which is trained on data from this atlas. Both the atlas and TRACULA are distributed publicly as part of FreeSurfer. We present the first comprehensive comparison of TRACULA to the more conventional, multi-region-of-interest approach to automated tractography, and the first demonstration of training TRACULA on high-quality, Connectom data to benefit studies that use more modest acquisition protocols.
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Affiliation(s)
- C Maffei
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
| | - C Lee
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - M Planich
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - M Ramprasad
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - N Ravi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - D Trainor
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Z Urban
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - M Kim
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - R J Jones
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - A Henin
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - S G Hofmann
- Department of Clinical Psychology, Philipps University Marburg, Germany; Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - D A Pizzagalli
- McLean Hospital and Harvard Medical School, Belmont, MA, USA
| | | | - J D E Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - D N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - S N Haber
- McLean Hospital and Harvard Medical School, Belmont, MA, USA; Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, USA
| | - A Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
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29
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A Fiber Dissection Study of the Anterior Commissure: Correlations with Diffusion Spectrum Imaging Tractography and Clinical Relevance in Gliomas. Brain Topogr 2021; 35:232-240. [PMID: 34755238 DOI: 10.1007/s10548-021-00879-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 10/29/2021] [Indexed: 11/27/2022]
Abstract
The anterior commissure, which connects bilateral temporal lobes and olfactive areas, remains elusive in many aspects of its structure and functional role. To comparatively describe anatomical details of the anterior commissure using cadaveric fiber dissection (FD) and diffusion spectrum imaging (DSI) thus refining our knowledge of the tract and exploring its clinical relevance in glioma migration. Twelve normal postmortem hemispheres were treated with Klingler's method and subjected to FD with medial, inferior, and lateral approaches. The FD findings were correlated with DSI tractography results. To illustrate the clinical relevance, two patients with recurrent temporal high-grade glioma are described. Our FD and DSI tractography of the anterior commissure disclosed a new anatomical paradigm. The FD confirmed that the anterior limb (absent sometimes and variable) and the lateral/temporal extension include the rostral portion and caudal portion, respectively, of the anterior commissure fibers. The shape of the lateral/temporal extension predominantly resembles an 'H'. The DSI tractography findings corresponded to these FD results. According to the FD, the Virchow-Robin space is continuous with the subarachnoid space and very close to the anterior commissure. The two clinical cases presented severe disturbances of consciousness and behavior despite good local tumor control. Subsequent magnetic resonance images showed new lesions infiltrating the contralateral temporal lobes. FD combined with DSI provided anatomical details facilitating a better understanding of the anterior commissure. Glioma migration routes to the contralateral temporal lobe included the anterior commissure, Virchow-Robin space, and subarachnoid space and were clinically relevant.
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30
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Pulvermüller F, Tomasello R, Henningsen-Schomers MR, Wennekers T. Biological constraints on neural network models of cognitive function. Nat Rev Neurosci 2021; 22:488-502. [PMID: 34183826 PMCID: PMC7612527 DOI: 10.1038/s41583-021-00473-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 02/06/2023]
Abstract
Neural network models are potential tools for improving our understanding of complex brain functions. To address this goal, these models need to be neurobiologically realistic. However, although neural networks have advanced dramatically in recent years and even achieve human-like performance on complex perceptual and cognitive tasks, their similarity to aspects of brain anatomy and physiology is imperfect. Here, we discuss different types of neural models, including localist, auto-associative, hetero-associative, deep and whole-brain networks, and identify aspects under which their biological plausibility can be improved. These aspects range from the choice of model neurons and of mechanisms of synaptic plasticity and learning to implementation of inhibition and control, along with neuroanatomical properties including areal structure and local and long-range connectivity. We highlight recent advances in developing biologically grounded cognitive theories and in mechanistically explaining, on the basis of these brain-constrained neural models, hitherto unaddressed issues regarding the nature, localization and ontogenetic and phylogenetic development of higher brain functions. In closing, we point to possible future clinical applications of brain-constrained modelling.
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Affiliation(s)
- Friedemann Pulvermüller
- Brain Language Laboratory, Department of Philosophy and Humanities, WE4, Freie Universität Berlin, Berlin, Germany.
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
- Einstein Center for Neurosciences Berlin, Berlin, Germany.
- Cluster of Excellence 'Matters of Activity', Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Rosario Tomasello
- Brain Language Laboratory, Department of Philosophy and Humanities, WE4, Freie Universität Berlin, Berlin, Germany
- Cluster of Excellence 'Matters of Activity', Humboldt-Universität zu Berlin, Berlin, Germany
| | - Malte R Henningsen-Schomers
- Brain Language Laboratory, Department of Philosophy and Humanities, WE4, Freie Universität Berlin, Berlin, Germany
- Cluster of Excellence 'Matters of Activity', Humboldt-Universität zu Berlin, Berlin, Germany
| | - Thomas Wennekers
- School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK
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31
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Porto de Oliveira JVM, Raquelo-Menegassio AF, Maldonado IL. What's your name again? A review of the superior longitudinal and arcuate fasciculus evolving nomenclature. Clin Anat 2021; 34:1101-1110. [PMID: 34218465 DOI: 10.1002/ca.23764] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/25/2021] [Accepted: 06/18/2021] [Indexed: 11/11/2022]
Abstract
Studies of the superior longitudinal fasciculus (SLF) have multiplied in recent decades owing to methodological advances, but the absence of a convention for nomenclature remains a source of confusion. Here, we have reviewed existing nomenclatures in the context of the research studies that generated them and we have identified their agreements and disagreements. A literature search was conducted using PubMed/MEDLINE, Web-of-Science, Embase, and a review of seminal publications, without restrictions regarding publication date. Our search revealed that diffusion imaging, autoradiography, and fiber dissection have been the main methods contributing to tract designation. The first two have been particularly influential in systematizing the horizontal elements distant from the lateral sulcus. Twelve approaches to naming were identified, eight of them differing considerably from each other. The terms SLF and arcuate fasciculus (AF) were often used as synonyms until the second half of the 20th century. During the last 15 years, this has ceased to be the case in a growing number of publications. The term AF has been used to refer to the assembly of three different segments, or exclusively to long frontotemporal fibers. Similarly, the term SLF has been employed to denote the whole superior longitudinal associative system, or only the horizontal frontoparietal parts. As only partial correspondence can be identified among the available nomenclatures, and in the absence of an official designation of all anatomical structures that can be encountered in clinical practice, a high level of vigilance regarding the effectiveness of every oral or written act of communication is mandatory.
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Affiliation(s)
| | | | - Igor Lima Maldonado
- UMR Inserm U1253, iBrain, Université de Tours, Tours, France.,CHRU de Tours, Tours, France.,Departamento de Biomorfologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil.,Programa de Pós-Graduação em Medicina e Saúde, Universidade Federal da Bahia, Salvador, Brazil
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32
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Sala F, Giampiccolo D, Cattaneo L. Novel Asleep Techniques for Intraoperative Assessment of Brain Connectivity. Front Neurol 2021; 12:687030. [PMID: 34262525 PMCID: PMC8273240 DOI: 10.3389/fneur.2021.687030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 05/26/2021] [Indexed: 12/17/2022] Open
Affiliation(s)
- Francesco Sala
- Section of Neurosurgery, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Davide Giampiccolo
- Section of Neurosurgery, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Luigi Cattaneo
- CIMeC - Center for Mind/Brain Sciences, University of Trento, Trento, Italy
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33
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Aversi-Ferreira TA, Malheiros Borges KC, Gonçalves-Mendes MT, Caixeta LF. Gross anatomy of the longitudinal fascicle of Sapajus sp. PLoS One 2021; 16:e0252178. [PMID: 34166386 PMCID: PMC8224874 DOI: 10.1371/journal.pone.0252178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 05/11/2021] [Indexed: 11/27/2022] Open
Abstract
Opposing genetic and cultural-social explanations for the origin of language are currently the focus of much discussion. One of the functions linked to the longitudinal fascicle is language, which links Wernicke’s area and Broca’s area in the brain, and its size should indicate the brain increase in the evolution. Sapajus is a New World primate genus with high cognition and advanced tool use similar to that of chimpanzees. A study of the gross anatomy of the longitudinal fascicle of Sapajus using Kingler’s method found it to differ from other studied primates, such as macaques and chimpanzees, mainly because its fibers join the cingulate fascicle. As in other non-human primates, the longitudinal fascicle of Sapajus does not reach the temporal lobe, which could indicate a way of separating these fascicles to increase white matter in relation to individual function. The study of anatomical structures seems very promising for understanding the basis of the origin of language. Indeed, socio-historical-cultural philosophy affirms the socio-cultural origin of speech, although considering the anatomical structures behind it working as a functional system.
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Affiliation(s)
- Tales Alexandre Aversi-Ferreira
- Department of Structural Biology, Laboratory of Biomathematics and Physical Anthropology, Institute of Biomedical Science, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil
- * E-mail:
| | | | - Maria Tereza Gonçalves-Mendes
- Department of Structural Biology, Laboratory of Biomathematics and Physical Anthropology, Institute of Biomedical Science, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil
| | - Leonardo Ferreira Caixeta
- Department of Behavioral Neurology, Clinical Hospital, Federal University of Goias, Goiânia, Goiás, Brazil
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34
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Nakajima R, Kinoshita M, Okita H, Shinohara H, Nakada M. Disconnection of posterior part of the frontal aslant tract causes acute phase motor functional deficit. Brain Cogn 2021; 151:105752. [PMID: 33993006 DOI: 10.1016/j.bandc.2021.105752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 04/20/2021] [Accepted: 05/03/2021] [Indexed: 11/28/2022]
Abstract
The frontal aslant tract (FAT) mainly connects the supplementary motor area (SMA) and inferior frontal gyrus. The left FAT is involved in language-related functions, while the functional role of the right FAT is not fully understood. The aim of this study was to investigate the function of the right FAT by dividing it into three segments according to the anatomical structure. A total of 34 right frontal gliomas who had undergone surgery were studied. Participants were assessed for the acute and chronic phases of several neuropsychological and motor functions. FAT was reconstructed into the anterior, middle, and posterior segments according to the cortical connections as the medial prefrontal cortex, pre-SMA, and SMA proper, respectively. The relationships between the damaged severity of each FAT segment and behavioral scores were analyzed. A significant relationship was observed only in the acute phase motor function and posterior segment of the FAT. The middle segment was involved in motor function, but it did not have a sufficient significance level compared to the posterior segment. Our study revealed that the right FAT can be divided into three segments and that its posterior segment is related to acute phase motor function.
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Affiliation(s)
- Riho Nakajima
- Department of Occupational therapy, Faculty of Health Science, 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, Kanazawa, Japan
| | - Hirokazu Okita
- Department of Physical Medicine and Rehabilitation, Kanazawa University Hospital, Kanazawa, Japan
| | - Harumichi Shinohara
- Department of Functional Anatomy, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
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35
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Recording cortico-cortical evoked potentials of the human arcuate fasciculus under general anaesthesia. Clin Neurophysiol 2021; 132:1966-1973. [PMID: 34119407 DOI: 10.1016/j.clinph.2021.03.044] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/06/2021] [Accepted: 03/22/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE We examined the feasibility of using cortico-cortical evoked potentials (CCEPs) to monitor the major cortical white matter tract involved in language, the arcuate fasciculus (AF), during surgery under general anaesthesia. METHODS We prospectively recruited nine patients undergoing surgery for lesions in the left peri-sylvian cortex, for whom awake surgery was not indicated. High angular resolution diffusion imaging (HARDI) tractography was used to localise frontal and temporal AF terminations, which guided intraoperative cortical strip placement. RESULTS CCEPs were successfully evoked in 5/9 patients, showing a positive potential (P1) at 12 ms and a negative component (N1) at 21 ms when stimulating from the frontal lobe and recording in the temporal lobe. CCEP responses peaked in the posterior middle temporal gyrus. No CCEPs were evoked when stimulating temporal sites and recording from frontal contacts. CONCLUSION For the first time, we show that CCEPs can be evoked from the peri-sylvian cortices also in adult patients who are not candidates for awake procedures. Our results are akin to those described in the awake setting and suggest the recorded activity is conveyed by the arcuate fasciculus. SIGNIFICANCE This intraoperative approach may have promising implications in reducing deficits in patients that require surgery in language areas under general anesthesia.
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36
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Hodology of the superior longitudinal system of the human brain: a historical perspective, the current controversies, and a proposal. Brain Struct Funct 2021; 226:1363-1384. [PMID: 33881634 DOI: 10.1007/s00429-021-02265-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 03/23/2021] [Indexed: 02/07/2023]
Abstract
The description of human white matter pathways experienced a tremendous improvement, thanks to the advancement of neuroimaging and dissection techniques. The downside of this progress is the production of redundant and conflicting literature, bound by specific studies' methods and aims. The Superior Longitudinal System (SLS), encompassing the arcuate (AF) and the superior longitudinal fasciculi (SLF), becomes an illustrative example of this fundamental issue, being one of the most studied white matter association pathways of the brain. Herein, we provide a complete illustration of this white matter fiber system's current definition, from its early descriptions in the nineteenth century to its most recent characterizations. We propose a review of both in vivo diffusion magnetic resonance imaging-based tractography and anatomical dissection studies, enclosing all the information available up to date. Based on these findings, we reconstruct the wiring diagram of the SLS, highlighting a substantial variability in the description of its cortical sites of termination and the taxonomy and partonomy that characterize the system. We aim to level up discrepancies in the literature by proposing a parallel across the various nomenclature. Consistent with the topographical arrangement already documented for commissural and projection pathways, we suggest approaching the SLS organization as an orderly and continuous wiring diagram, respecting a medio-lateral palisading topography between the different frontal, parietal, occipital, and temporal gyri rather than in terms of individualized fascicles. A better and complete description of the fine organization of white matter association pathways' connectivity is fundamental for a better understanding of brain function and their clinical and neurosurgical applications.
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37
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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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Dresang HC, Hula WD, Yeh FC, Warren T, Dickey MW. White-Matter Neuroanatomical Predictors of Aphasic Verb Retrieval. Brain Connect 2021; 11:319-330. [PMID: 33470167 DOI: 10.1089/brain.2020.0921] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Current neurocognitive models of language function have been primarily built from evidence regarding object naming, and their hypothesized white-matter circuit mechanisms tend to be coarse grained. Methods: In this cross-sectional, observational study, we used novel correlational tractography to assess the white-matter circuit mechanism behind verb retrieval, measured through action picture-naming performance in adults with chronic aphasia. Results: The analysis identified tracts implicated in current neurocognitive dual-stream models of language function, including the left inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, and arcuate fasciculus. However, the majority of tracts associated with verb retrieval were not ones included in dual-stream models of language function. Instead, they were projection pathways that connect frontal and parietal cortices to subcortical regions associated with motor functions, including the left corticothalamic pathway, frontopontine tract, parietopontine tract, corticostriatal pathway, and corticospinal tract. Conclusions: These results highlight that corticosubcortical projection pathways implicated in motor functions may be importantly related to language function. This finding is consistent with grounded accounts of cognition and may furthermore inform neurocognitive models. Impact statement This study suggests that in addition to traditional dual-stream language fiber tracts, the integrity of projection pathways that connect frontal and parietal cortices to subcortical motor regions may be critically associated with verb-retrieval impairments in adults with aphasia. This finding challenges neurological models of language function.
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Affiliation(s)
- Haley C Dresang
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - William D Hula
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tessa Warren
- Learning Research and Development Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Walsh Dickey
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
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Suo X, Ding H, Li X, Zhang Y, Liang M, Zhang Y, Yu C, Qin W. Anatomical and functional coupling between the dorsal and ventral attention networks. Neuroimage 2021; 232:117868. [PMID: 33647500 DOI: 10.1016/j.neuroimage.2021.117868] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/21/2021] [Accepted: 02/10/2021] [Indexed: 11/26/2022] Open
Abstract
Studies have indicated that the dorsal attention network (DAN) and the ventral attention network (VAN) functionally interact via several fronto-parietal connector hubs. However, the anatomical connectivity profiles of these connector hubs, and the coupling between the anatomical and functional connectivities of them, are still unknown. In the present study, we found that functional connector hubs anatomically bridged the DAN and VAN based on multimodal magnetic resonance imaging data from the Human Connectome Project (HCP) Consortium and an independent Chinese cohort. The three hubs had unique anatomical connectivity patterns with the attention sub-networks. For each connector hub, the pattern of anatomical connectivity resembled the functional one. Finally, the strength of the anatomical connectivity of these connector hubs was positively associated with the functional connectivity at the group- and individual-levels. Our findings help to better understand the anatomical mechanisms underlying the functional interactions between the DAN and the VAN.
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Affiliation(s)
- Xinjun Suo
- Department of Radiology, Tianjin Medical University General Hospital, Anshan Road No 154, Heping District, Tianjin 300052, China; Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China; School of Medical Imaging, Tianjin Medical University, Tianjin 300070, China
| | - Hao Ding
- Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China; School of Medical Imaging, Tianjin Medical University, Tianjin 300070, China
| | - Xi Li
- Department of Radiology, Tianjin Medical University General Hospital, Anshan Road No 154, Heping District, Tianjin 300052, China; Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yaodan Zhang
- Department of Radiology, Tianjin Medical University General Hospital, Anshan Road No 154, Heping District, Tianjin 300052, China; Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Meng Liang
- Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China; School of Medical Imaging, Tianjin Medical University, Tianjin 300070, China
| | - Yongqiang Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Anshan Road No 154, Heping District, Tianjin 300052, China; Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China; School of Medical Imaging, Tianjin Medical University, Tianjin 300070, China
| | - Wen Qin
- Department of Radiology, Tianjin Medical University General Hospital, Anshan Road No 154, Heping District, Tianjin 300052, China; Tianjin Key Lab of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
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40
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Di Cristofori A, Basso G, de Laurentis C, Mauri I, Sirtori MA, Ferrarese C, Isella V, Giussani C. Perspectives on (A)symmetry of Arcuate Fasciculus. A Short Review About Anatomy, Tractography and TMS for Arcuate Fasciculus Reconstruction in Planning Surgery for Gliomas in Language Areas. Front Neurol 2021; 12:639822. [PMID: 33643213 PMCID: PMC7902861 DOI: 10.3389/fneur.2021.639822] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 01/05/2021] [Indexed: 11/13/2022] Open
Abstract
Gliomas are brain tumors that are treated with surgical resection. Prognosis is influenced by the extent of resection and postoperative neurological status. As consequence, given the extreme interindividual and interhemispheric variability of subcortical white matter (WM) surgical planning requires to be patient's tailored. According to the “connectionist model,” there is a huge variability among both cortical areas and subcortical WM in all human beings, and it is known that brain is able to reorganize itself and to adapt to WM lesions. Brain magnetic resonance imaging diffusion tensor imaging (DTI) tractography allows visualization of WM bundles. Nowadays DTI tractography is widely available in the clinical setting for presurgical planning. Arcuate fasciculus (AF) is a long WM bundle that connects the Broca's and Wernicke's regions with a complex anatomical architecture and important role in language functions. Thus, its preservation is important for the postoperative outcome, and DTI tractography is usually performed for planning surgery within the language-dominant hemisphere. High variability among individuals and an asymmetrical pattern has been reported for this WM bundle. However, the functional relevance of AF in the contralateral non-dominant hemisphere in case of tumoral or surgical lesion of the language-dominant AF is unclear. This review focuses on AF anatomy with special attention to its asymmetry in both normal and pathological conditions and how it may be explored with preoperative tools for planning surgery on gliomas in language areas. Based on the findings available in literature, we finally speculate about the potential role of preoperative evaluation of the WM contralateral to the surgical site.
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Affiliation(s)
| | - Gianpaolo Basso
- Neurosurgery Unit, San Gerardo Hospital, ASST Monza, Monza, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,Neuroradiology Unit, San Gerardo Hospital, ASST Monza, Monza, Italy
| | - Camilla de Laurentis
- Neurosurgery Unit, San Gerardo Hospital, ASST Monza, Monza, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Ilaria Mauri
- Neurology Unit, San Gerardo Hospital, ASST Monza, Monza, Italy
| | | | - Carlo Ferrarese
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,Neurology Unit, San Gerardo Hospital, ASST Monza, Monza, Italy
| | - Valeria Isella
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.,Neurology Unit, San Gerardo Hospital, ASST Monza, Monza, Italy
| | - Carlo Giussani
- Neurosurgery Unit, San Gerardo Hospital, ASST Monza, Monza, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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41
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Latini F, Trevisi G, Fahlström M, Jemstedt M, Alberius Munkhammar Å, Zetterling M, Hesselager G, Ryttlefors M. New Insights Into the Anatomy, Connectivity and Clinical Implications of the Middle Longitudinal Fasciculus. Front Neuroanat 2021; 14:610324. [PMID: 33584207 PMCID: PMC7878690 DOI: 10.3389/fnana.2020.610324] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/30/2020] [Indexed: 12/01/2022] Open
Abstract
The middle longitudinal fascicle (MdLF) is a long, associative white matter tract connecting the superior temporal gyrus (STG) with the parietal and occipital lobe. Previous studies show different cortical terminations, and a possible segmentation pattern of the tract. In this study, we performed a post-mortem white matter dissection of 12 human hemispheres and an in vivo deterministic fiber tracking of 24 subjects acquired from the Human Connectome Project to establish whether a constant organization of fibers exists among the MdLF subcomponents and to acquire anatomical information on each subcomponent. Moreover, two clinical cases of brain tumors impinged on MdLF territories are reported to further discuss the anatomical results in light of previously published data on the functional involvement of this bundle. The main finding is that the MdLF is consistently organized into two layers: an antero-ventral segment (aMdLF) connecting the anterior STG (including temporal pole and planum polare) and the extrastriate lateral occipital cortex, and a posterior-dorsal segment (pMdLF) connecting the posterior STG, anterior transverse temporal gyrus and planum temporale with the superior parietal lobule and lateral occipital cortex. The anatomical connectivity pattern and quantitative differences between the MdLF subcomponents along with the clinical cases reported in this paper support the role of MdLF in high-order functions related to acoustic information. We suggest that pMdLF may contribute to the learning process associated with verbal-auditory stimuli, especially on left side, while aMdLF may play a role in processing/retrieving auditory information already consolidated within the temporal lobe.
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Affiliation(s)
- Francesco Latini
- Neurosurgical Unit, Department of Surgery, Ospedale Santo Spirito, Pescara, Italy
| | - Gianluca Trevisi
- Neurosurgical Unit, Department of Surgery, Ospedale Santo Spirito, Pescara, Italy
| | - Markus Fahlström
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Malin Jemstedt
- Section of Speech-Language Pathology, Department of Neuroscience, Uppsala University, Uppsala, Sweden
| | | | - Maria Zetterling
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, Uppsala, Sweden
| | - Göran Hesselager
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, Uppsala, Sweden
| | - Mats Ryttlefors
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, Uppsala, Sweden
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42
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Pirone A, Graïc J, Grisan E, Cozzi B. The claustrum of the sheep and its connections to the visual cortex. J Anat 2021; 238:1-12. [PMID: 32885430 PMCID: PMC7755083 DOI: 10.1111/joa.13302] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/05/2020] [Accepted: 08/05/2020] [Indexed: 01/03/2023] Open
Abstract
The present study analyses the organization and selected neurochemical features of the claustrum and visual cortex of the sheep, based on the patterns of calcium-binding proteins expression. Connections of the claustrum with the visual cortex have been studied by tractography. Parvalbumin-immunoreactive (PV-ir) and Calbindin-immunoreactive (CB-ir) cell bodies increased along the rostro-caudal axis of the nucleus. Calretinin (CR)-labeled somata were few and evenly distributed along the rostro-caudal axis. PV and CB distribution in the visual cortex was characterized by larger round and multipolar cells for PV, and more bitufted neurons for CB. The staining pattern for PV was the opposite of that of CR, which showed densely stained but rare cell bodies. Tractography shows the existence of connections with the caudal visual cortex. However, we detected no contralateral projection in the visuo-claustral interconnections. Since sheep and goats have laterally placed eyes and a limited binocular vision, the absence of contralateral projections could be of prime importance if confirmed by other studies, to rule out the role of the claustrum in stereopsis.
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Affiliation(s)
- Andrea Pirone
- Department of Veterinary SciencesUniversity of PisaPisaItaly
| | - Jean‐Marie Graïc
- Department of Comparative Biomedicine and Food ScienceUniversity of PadovaLegnaroItaly
| | - Enrico Grisan
- Department of Information EngineeringUniversity of PadovaVicenzaItaly,School of EngineeringLondon South Bank UniversityLondonUK
| | - Bruno Cozzi
- Department of Comparative Biomedicine and Food ScienceUniversity of PadovaLegnaroItaly
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43
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Zhang Y, Zhang Z, Jia X, Guan X, Lyu Y, Yang J, Jiang T. Imaging Parameters of the Ipsilateral Medial Geniculate Body May Predict Prognosis of Patients with Idiopathic Unilateral Sudden Sensorineural Hearing Loss on the Basis of Diffusion Spectrum Imaging. AJNR Am J Neuroradiol 2021; 42:152-159. [PMID: 33214182 DOI: 10.3174/ajnr.a6874] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 08/29/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND AND PURPOSE Idiopathic sudden sensorineural hearing loss is an acute unexplained onset of hearing loss. We examined the central auditory pathway abnormalities in patients with unilateral idiopathic sudden sensorineural hearing loss using diffusion spectrum imaging and the relationships between hearing recovery and diffusion spectrum imaging parameters. MATERIALS AND METHODS Forty-eight patients with unilateral idiopathic sudden sensorineural hearing loss with a duration of ≤2 weeks (range, 8.9 ± 4.3 days) and 20 healthy subjects underwent diffusion spectrum imaging tractography. Hearing levels were evaluated using a pure-tone average at initial presentation and 3-month follow-up. Clinical characteristics and MR imaging findings were assessed. RESULTS Compared with healthy control subjects, the generalized fractional anisotropy values of patients decreased significantly in the bilateral posterior limbs of the internal capsule, with no differences between the ipsilateral and contralateral sides. The quantitative anisotropy values decreased in the Brodmann area 41, contralateral medial geniculate body, bilateral lateral lemniscus, anterior limb of internal capsule, middle temporal gyrus, and anterior corona radiata. Furthermore, at 3-month follow-up, 14 patients had <15 dB of hearing gain. Receiver operating characteristic curve analysis demonstrated that generalized fractional anisotropy in the ipsilateral medial geniculate body was related to prognosis (sensitivity = 64.7%; specificity = 85.7%; area under the curve = 0.796, 95% CI, 0.661-0.931; P < .01). CONCLUSIONS Diffusion spectrum imaging can detect abnormalities of white matter microstructure along the central auditory pathway in patients with unilateral idiopathic sudden sensorineural hearing loss. The generalized fractional anisotropy value of the ipsilateral medial geniculate body may help to predict recovery outcomes.
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Affiliation(s)
- Y Zhang
- From the Departments of Hyperbaric Oxygen (Y.Z., J.Y.)
| | - Z Zhang
- Radiology (Z.Z., X.J., Y.L., T.J.), Beijing Chaoyang Hospital
| | - X Jia
- Radiology (Z.Z., X.J., Y.L., T.J.), Beijing Chaoyang Hospital
| | - X Guan
- Department of Radiology (X.G.), Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Y Lyu
- Radiology (Z.Z., X.J., Y.L., T.J.), Beijing Chaoyang Hospital
| | - J Yang
- From the Departments of Hyperbaric Oxygen (Y.Z., J.Y.)
| | - T Jiang
- Radiology (Z.Z., X.J., Y.L., T.J.), Beijing Chaoyang Hospital
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44
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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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Honnedevasthana Arun A, Connelly A, Smith RE, Calamante F. Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis. Neuroimage 2020; 225:117505. [PMID: 33147511 DOI: 10.1016/j.neuroimage.2020.117505] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 09/18/2020] [Accepted: 10/22/2020] [Indexed: 12/13/2022] Open
Abstract
The diffusion tensor model for diffusion MRI has been used extensively to study asymmetry in the human brain white matter. However, given the limitations of the tensor model, the nature of any underlying asymmetries remains uncertain, particularly in crossing fibre regions. Here, we provide a more robust characterisation of human brain white matter asymmetries based on fibre-specific diffusion MRI metrics and a whole-brain data-driven approach. We used high-quality diffusion MRI data (n = 100) from the Human Connectome Project, the spherical deconvolution model for fibre orientation distribution estimation, and the Fixel-Based Analysis framework to utilise crossing fibre information in registration, data smoothing and statistical inference. We found many significant asymmetries, widespread throughout the brain white matter, with both left>right and right>left dominances observed in different pathways. No influences of sex, age, or handedness on asymmetry were found. We also report on the relative contributions of microstructural and morphological white matter properties toward the asymmetry findings. Our findings should provide important information to future studies focussing on how these asymmetries are affected by disease, development/ageing, or how they correlate to functional/cognitive measures.
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Affiliation(s)
- Arush Honnedevasthana Arun
- Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia; The University of Sydney, School of Biomedical Engineering, Sydney, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Robert E Smith
- Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Fernando Calamante
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia; The University of Sydney, Sydney Imaging, Sydney, Australia; The University of Sydney, School of Biomedical Engineering, Sydney, Australia.
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46
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Lee MH, O'Hara N, Sonoda M, Kuroda N, Juhasz C, Asano E, Dong M, Jeong JW. Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy. IEEE Trans Biomed Eng 2020; 67:3151-3162. [PMID: 32142416 PMCID: PMC7598774 DOI: 10.1109/tbme.2020.2977531] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To investigate the clinical utility of deep convolutional neural network (DCNN) tract classification as a new imaging tool in the preoperative evaluation of children with focal epilepsy (FE). METHODS A DCNN tract classification deeply learned spatial trajectories of DWI white matter pathways linking electrical stimulation mapping (ESM) findings from 89 children with FE, and then automatically identified white matter pathways associated with eloquent functions (i.e., primary motor, language, and vision). Clinical utility was examined by 1) measuring the nearest distance between DCNN-determined pathways and ESM, 2) evaluating the effectiveness of DCNN-determined pathways to optimize surgical margins via Kalman filter analysis, and 3) evaluating how accurately changes in DCNN-determined language pathway volume can predict changes in language ability via canonical correlation analysis. RESULTS DCNN tract classification outperformed other existing methods, achieving an excellent accuracy of 98 % while non-invasively detecting eloquent areas within the spatial resolution of ESM (i.e., 1 cm). The Kalman filter analysis found that the preservation of brain areas within a surgical margin determined by DCNN tract classification predicted lack of postoperative deficit with a high accuracy of 92 %. Postoperative change of DCNN-determined language pathway volume showed a significant correlation with postoperative changes in language ability (R = 0.7, p 0.001). CONCLUSION Our findings demonstrate that postoperative functional deficits substantially differ according to the extent of resected white matter, and that DCNN tract classification may offer key translational information by identifying these pathways in pediatric epilepsy surgery. SIGNIFICANCE DCNN tract classification may be an effective tool to improve surgical outcome of children with FE.
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47
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Lin YH, Young IM, Conner AK, Glenn CA, Chakraborty AR, Nix CE, Bai MY, Dhanaraj V, Fonseka RD, Hormovas J, Tanglay O, Briggs RG, Sughrue ME. Anatomy and White Matter Connections of the Inferior Temporal Gyrus. World Neurosurg 2020; 143:e656-e666. [DOI: 10.1016/j.wneu.2020.08.058] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/06/2020] [Accepted: 08/08/2020] [Indexed: 12/27/2022]
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Intraoperative Direct Stimulation Identification and Preservation of Critical White Matter Tracts During Brain Surgery. World Neurosurg 2020; 146:64-74. [PMID: 33229311 DOI: 10.1016/j.wneu.2020.10.100] [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: 08/23/2020] [Revised: 10/18/2020] [Accepted: 10/19/2020] [Indexed: 02/03/2023]
Abstract
The study of brain connectomics has led to a rapid evolution in the understanding of human brain function. Traditional localizationist theories are being replaced by more accurate network, or hodologic, approaches that model brain function as widespread processes dependent on cortical and subcortical structures, as well as the white matter tracts (WMTs) that link these areas. Recent surgical literature suggests that WMTs may be more critical to preserve than cortical structures because of the comparably lower capacity of recovery of the former when damaged. Given the relevance of eloquent WMTs to neurologic function and thus quality of life, neurosurgical interventions must be tailored to maximize their preservation. Direct electric stimulation remains a vital tool for identification and avoidance of these critical tracts. Neurosurgeons therefore require proper understanding of the anatomy and function of WMTs, as well as the reported contemporary tasks used during intraoperative stimulation. We review the relevant tracts involved in language, visuospatial, and motor networks and the updated direct electric stimulation-based mapping tasks that aid in their preservation. The dominant-hemisphere language WMTs have been mapped using picture naming, semantic association, word repetition, reading, and writing tasks. For monitoring of vision and spatial functions, the modified picture naming and line bisection tasks, as well as the recording of visual evoked potentials, have been used. Repetitive movements and monitoring of motor evoked potentials and involuntary movements have been applied for preservation of the motor networks.
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49
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Hutchinson K, Sloutsky R, Collimore A, Adams B, Harris B, Ellis TD, Awad LN. A Music-Based Digital Therapeutic: Proof-of-Concept Automation of a Progressive and Individualized Rhythm-Based Walking Training Program After Stroke. Neurorehabil Neural Repair 2020; 34:986-996. [PMID: 33040685 DOI: 10.1177/1545968320961114] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND The rhythm of music can entrain neurons in motor cortex by way of direct connections between auditory and motor brain regions. OBJECTIVE We sought to automate an individualized and progressive music-based, walking rehabilitation program using real-time sensor data in combination with decision algorithms. METHODS A music-based digital therapeutic was developed to maintain high sound quality while modulating, in real-time, the tempo (ie, beats per minute, or bpm) of music based on a user's ability to entrain to the tempo and progress to faster walking cadences in-sync with the progression of the tempo. Eleven individuals with chronic hemiparesis completed one automated 30-minute training visit. Seven returned for 2 additional visits. Safety, feasibility, and rehabilitative potential (ie, changes in walking speed relative to clinically meaningful change scores) were evaluated. RESULTS A single, fully automated training visit resulted in increased usual (∆ 0.085 ± 0.027 m/s, P = .011) and fast (∆ 0.093 ± 0.032 m/s, P = .016) walking speeds. The 7 participants who completed additional training visits increased their usual walking speed by 0.12 ± 0.03 m/s after only 3 days of training. Changes in walking speed were highly related to changes in walking cadence (R2 > 0.70). No trips or falls were noted during training, all users reported that the device helped them walk faster, and 70% indicated that they would use it most or all of the time at home. CONCLUSIONS In this proof-of-concept study, we show that a sensor-automated, progressive, and individualized rhythmic locomotor training program can be implemented safely and effectively to train walking speed after stroke. Music-based digital therapeutics have the potential to facilitate salient, community-based rehabilitation.
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Affiliation(s)
| | | | | | | | - Brian Harris
- Sargent College, Boston University, Boston, MA, USA.,MedRhythms Inc, Portland, ME, USA
| | | | - Louis N Awad
- Sargent College, Boston University, Boston, MA, USA
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Falkenberg LE, Westerhausen R, Johnsen E, Kroken R, Løberg EM, Beresniewicz J, Kazimierczak K, Kompus K, Ersland L, Sandøy LB, Hugdahl K. Hallucinating schizophrenia patients have longer left arcuate fasciculus fiber tracks: a DTI tractography study. Psychiatry Res Neuroimaging 2020; 302:111088. [PMID: 32480045 DOI: 10.1016/j.pscychresns.2020.111088] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 04/15/2020] [Accepted: 04/15/2020] [Indexed: 02/07/2023]
Abstract
The arcuate fasciculus (AF) has been implicated in the pathology behind schizophrenia and auditory verbal hallucinations (AVHs). White matter tracts forming the arcuate fasciculus can be quantified and visualized using diffusion tensor imaging (DTI) tractography. Although there have been a number of studies on this topic, the results have been conflicting. Studying the underlying white matter structure of the AF could shed light on the constrains for interaction between temporal and frontal language areas in AVHs. The participants were 66 patients with a schizophrenia diagnosis, where AVHs were defined from the Positive and Negative Syndrome Scale (PANSS), and compared with a healthy control group. DTI was performed on a 3T MR scanner, and tensor estimation was done using deterministic streamline tractography. Statistical analysis of the data showed significantly longer reconstructed tracks along the AF in patients with severe and frequent AVHs, as well as an overall significant asymmetry with longer tracks in the left compared to the right side. In addition, there were significant positive correlations between PANSS scores and track length, track volume, and number of track streamlines for the posterior AF segment on the left side. It is concluded that the present DTI results may have implications for interpretations of functional imaging results.
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Affiliation(s)
- Liv E Falkenberg
- Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Erik Johnsen
- Division of Psychiatry and NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Norway
| | - Rune Kroken
- Division of Psychiatry and NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Else-Marie Løberg
- Division of Psychiatry and NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway; Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway; Department of Clinical Psychology, University of Bergen, Norway
| | | | | | - Kristiina Kompus
- Department of Biological and Medical Psychology, University of Bergen, Norway
| | - Lars Ersland
- Department of Biological and Medical Psychology, University of Bergen, Norway; Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | | | - Kenneth Hugdahl
- Division of Psychiatry and NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway; Department of Biological and Medical Psychology, University of Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway.
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