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Ayyıldız N, Beyer F, Üstün S, Kale EH, Mançe Çalışır Ö, Uran P, Öner Ö, Olkun S, Anwander A, Witte AV, Villringer A, Çiçek M. Changes in the superior longitudinal fasciculus and anterior thalamic radiation in the left brain are associated with developmental dyscalculia. Front Hum Neurosci 2023; 17:1147352. [PMID: 37868699 PMCID: PMC10586317 DOI: 10.3389/fnhum.2023.1147352] [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: 01/18/2023] [Accepted: 09/06/2023] [Indexed: 10/24/2023] Open
Abstract
Developmental dyscalculia is a neurodevelopmental disorder specific to arithmetic learning even with normal intelligence and age-appropriate education. Difficulties often persist from childhood through adulthood lowering the individual's quality of life. However, the neural correlates of developmental dyscalculia are poorly understood. This study aimed to identify brain structural connectivity alterations in developmental dyscalculia. All participants were recruited from a large scale, non-referred population sample in a longitudinal design. We studied 10 children with developmental dyscalculia (11.3 ± 0.7 years) and 16 typically developing peers (11.2 ± 0.6 years) using diffusion-weighted magnetic resonance imaging. We assessed white matter microstructure with tract-based spatial statistics in regions-of-interest tracts that had previously been related to math ability in children. Then we used global probabilistic tractography for the first time to measure and compare tract length between developmental dyscalculia and typically developing groups. The high angular resolution diffusion-weighted magnetic resonance imaging and crossing-fiber probabilistic tractography allowed us to evaluate the length of the pathways compared to previous studies. The major findings of our study were reduced white matter coherence and shorter tract length of the left superior longitudinal/arcuate fasciculus and left anterior thalamic radiation in the developmental dyscalculia group. Furthermore, the lower white matter coherence and shorter pathways tended to be associated with the lower math performance. These results from the regional analyses indicate that learning, memory and language-related pathways in the left hemisphere might be related to developmental dyscalculia in children.
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Affiliation(s)
- Nazife Ayyıldız
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Interdisciplinary Neuroscience, Health Sciences Institute and Brain Research Center, Ankara University, Ankara, Türkiye
| | - Frauke Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Subproject A1, CRC 1052 “Obesity Mechanisms”, University of Leipzig, Leipzig, Germany
| | - Sertaç Üstün
- Department of Interdisciplinary Neuroscience, Health Sciences Institute and Brain Research Center, Ankara University, Ankara, Türkiye
- Department of Physiology, School of Medicine, Ankara University, Ankara, Türkiye
- Neuroscience and Neurotechnology Center of Excellence, Ankara, Türkiye
| | - Emre H. Kale
- Department of Interdisciplinary Neuroscience, Health Sciences Institute and Brain Research Center, Ankara University, Ankara, Türkiye
| | - Öykü Mançe Çalışır
- Department of Interdisciplinary Neuroscience, Health Sciences Institute and Brain Research Center, Ankara University, Ankara, Türkiye
- Program of Counseling and Guidance, Department of Educational Sciences, Faculty of Educational Sciences, Ankara University, Ankara, Türkiye
| | - Pınar Uran
- Department of Child and Adolescent Psychiatry, School of Medicine, Izmir Democracy University, Izmir, Türkiye
| | - Özgür Öner
- Department of Child and Adolescence Psychiatry, School of Medicine, Bahçeşehir University, Istanbul, Türkiye
| | - Sinan Olkun
- Department of Elementary Education, Faculty of Educational Sciences, Ankara University, Ankara, Türkiye
| | - Alfred Anwander
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - A. Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- MindBrainBody Institute, Berlin School of Mind and Brain, Charité and Humboldt University, Berlin, Germany
| | - Metehan Çiçek
- Department of Interdisciplinary Neuroscience, Health Sciences Institute and Brain Research Center, Ankara University, Ankara, Türkiye
- Department of Physiology, School of Medicine, Ankara University, Ankara, Türkiye
- Neuroscience and Neurotechnology Center of Excellence, Ankara, Türkiye
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2
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Dadario NB, Sughrue ME. The functional role of the precuneus. Brain 2023; 146:3598-3607. [PMID: 37254740 DOI: 10.1093/brain/awad181] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/01/2023] Open
Abstract
Recent advancements in computational approaches and neuroimaging techniques have refined our understanding of the precuneus. While previously believed to be largely a visual processing region, the importance of the precuneus in complex cognitive functions has been previously less familiar due to a lack of focal lesions in this deeply seated region, but also a poor understanding of its true underlying anatomy. Fortunately, recent studies have revealed significant information on the structural and functional connectivity of this region, and this data has provided a more detailed mechanistic understanding of the importance of the precuneus in healthy and pathologic states. Through improved resting-state functional MRI analyses, it has become clear that the function of the precuneus can be better understood based on its functional association with large scale brain networks. Dual default mode network systems have been well explained in recent years in supporting episodic memory and theory of mind; however, a novel 'para-cingulate' network, which is a subnetwork of the larger central executive network, with likely significant roles in self-referential processes and related psychiatric symptoms is introduced here and requires further clarification. Importantly, detailed anatomic studies on the precuneus structural connectivity inside and beyond the cingulate cortex has demonstrated the presence of large structural white matter connections, which provide an additional layer of meaning to the structural-functional significance of this region and its association with large scale brain networks. Together, the structural-functional connectivity of the precuneus has provided central elements which can model various neurodegenerative diseases and psychiatric disorders, such as Alzheimer's disease and depression.
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Affiliation(s)
- Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 07102, USA
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Shah HA, Ablyazova F, Alrez A, Wernicke AG, Vojnic M, Silverstein JW, Yaffe B, D'Amico RS. Intraoperative awake language mapping correlates to preoperative connectomics imaging: An instructive case. Clin Neurol Neurosurg 2023; 229:107751. [PMID: 37149972 DOI: 10.1016/j.clineuro.2023.107751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
Connectomics enables the study of structural-functional relationships in the brain, and machine learning technologies have enabled connectome maps to be developed for individual brain tumor patients. We report our experience using connectomics to plan and guide an awake craniotomy for a tumor impinging on the language area. Preoperative connectomics imaging demonstrated proximity of the tumor to parcellations of the language area. Intraoperative awake language mapping was performed, revealing speech arrest and paraphasic errors at areas of the tumor boundary correlating to functional regions that explained these findings. This instructive case highlights the potential benefits of implementing connectomics into neurosurgical planning.
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Affiliation(s)
- Harshal A Shah
- Department of Neurological Surgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
| | - Faina Ablyazova
- Department of Neurological Surgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
| | - Annabelle Alrez
- Department of Neurological Surgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA
| | - A Gabriella Wernicke
- Department of Radiation Medicine, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
| | - Morana Vojnic
- Department of Hematology and Oncology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
| | - Justin W Silverstein
- Department of Neurology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA; Neuro Protective Solutions, New York, NY, USA.
| | - Beril Yaffe
- Department of Neurological Surgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
| | - Randy S D'Amico
- Department of Neurological Surgery, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
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4
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Dadario NB, Tanglay O, Stafford JF, Davis EJ, Young IM, Fonseka RD, Briggs RG, Yeung JT, Teo C, Sughrue ME. Topology of the lateral visual system: The fundus of the superior temporal sulcus and parietal area H connect nonvisual cerebrum to the lateral occipital lobe. Brain Behav 2023; 13:e2945. [PMID: 36912573 PMCID: PMC10097165 DOI: 10.1002/brb3.2945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/13/2023] [Accepted: 02/17/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND AND PURPOSE Mapping the topology of the visual system is critical for understanding how complex cognitive processes like reading can occur. We aim to describe the connectivity of the visual system to understand how the cerebrum accesses visual information in the lateral occipital lobe. METHODS Using meta-analytic software focused on task-based functional MRI studies, an activation likelihood estimation (ALE) of the visual network was created. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE to identify the hub-like regions of the visual network. Diffusion Spectrum Imaging-based fiber tractography was performed to determine the structural connectivity of these regions with extraoccipital cortices. RESULTS The fundus of the superior temporal sulcus (FST) and parietal area H (PH) were identified as hub-like regions for the visual network. FST and PH demonstrated several areas of coactivation beyond the occipital lobe and visual network. Furthermore, these parcellations were highly interconnected with other cortical regions throughout extraoccipital cortices related to their nonvisual functional roles. A cortical model demonstrating connections to these hub-like areas was created. CONCLUSIONS FST and PH are two hub-like areas that demonstrate extensive functional coactivation and structural connections to nonvisual cerebrum. Their structural interconnectedness with language cortices along with the abnormal activation of areas commonly located in the temporo-occipital region in dyslexic individuals suggests possible important roles of FST and PH in the integration of information related to language and reading. Future studies should refine our model by examining the functional roles of these hub areas and their clinical significance.
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Affiliation(s)
- Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Onur Tanglay
- Omniscient Neurotechnology, Sydney, New South Wales, Australia
| | - Jordan F Stafford
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | | | | | - R Dineth Fonseka
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | | | - Charles Teo
- Cingulum Health, Sydney, New South Wales, Australia
| | - Michael E Sughrue
- Omniscient Neurotechnology, Sydney, New South Wales, Australia.,Cingulum Health, Sydney, New South Wales, Australia.,Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, New South Wales, Australia
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Mahdy Ali K, Avesani P. The vertical superior longitudinal fascicle and the vertical occipital fascicle. J Neurosurg Sci 2022; 65:581-589. [PMID: 35128919 DOI: 10.23736/s0390-5616.21.05368-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Association fibers of the human brain have long been considered to exclusively follow an anterior-posterior direction. Using magnetic resonance imaging techniques that allow in-vivo fiber dissection, vertically oriented association fibers have been rediscovered or newly described. Aside from the frontal aslant tract (FAT) in the frontal lobe, the vertical occipital fascicle (VOF) and the vertical portion of the superior longitudinal fascicle system (vSLF) have been studied in recent years. The aim of this review was to give an overview on the current knowledge regarding these two fiber tracts. A review of the available literature in the Medline database was conducted to gather all available publications dealing with either the VOF or the vSLF. One thousand two hundred seventy-three articles were obtained from the literature search of which a total of 71 articles met the final inclusion criteria of this review. We describe the history of the discovery of the respective fiber tract, its anatomical course and its boundaries integrating blunt fiber dissection studies and functional MRI/tractography studies. We discuss the functional properties of the respective fiber tract and its relevance in neurosurgery. The VOF is a fiber tract that has been discovered in the late XIX century and long been forgotten before being rediscovered in the 1970's. It lies lateral to the fibers of the sagittal stratum and mainly connects the superior and inferior occipital lobe. It plays a major role in reading and visual word and language comprehension and is said to be the main link between dorsal and ventral visual streams. The vSLF has many synonyms and is part of the superior longitudinal fascicle system. Recent studies were able to provide more insight into this set of fiber tracts showing distinct connections running from the superior and inferior parietal lobule to the posterior part of the temporal lobe. Its functional role is still not completely cleared. It is said to play a role in visual and auditory semantic language comprehension. It lies directly lateral to the arcuate fascicle. The VOF and the vSLF are vertically oriented fiber tracts connecting the temporo-parieto-occipital region and play a major role in the communication of dorsal and ventral visual streams (VOF), reading (VOF, vSLF) and visual and auditory semantic language comprehension (vSLF). They can consistently be identified using ex vivo blunt dissection techniques and in-vivo fiber tractography. Because of their localization and orientation these two fiber tracts can be combined to a fiber bundle system called posterior transverse system (PTS).
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Affiliation(s)
- Kariem Mahdy Ali
- Department of Neurosurgery, Medical University of Graz, Graz, Austria -
| | - Paolo Avesani
- Center for Information Technology, Fondazione Bruno Kessler (FBK), Trento, Italy
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6
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He X, Pueraro E, Kim Y, Garcia CM, Maas B, Choi J, Egglefield DA, Schiff S, Sneed JR, Brown PJ, Brickman AM, Roose SP, Rutherford BR. Association of White Matter Integrity With Executive Function and Antidepressant Treatment Outcome in Patients With Late-Life Depression. Am J Geriatr Psychiatry 2021; 29:1188-1198. [PMID: 33551234 PMCID: PMC8298620 DOI: 10.1016/j.jagp.2021.01.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/25/2020] [Accepted: 01/10/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE While patients with late-life depression (LLD) often exhibit microstructural white matter alterations that can be identified with diffusion tensor imaging (DTI), there is a dearth of information concerning the links between DTI findings and specific cognitive performance, as well as between DTI measures and antidepressant treatment outcomes. DESIGN Neuroimaging and cognitive tests were conducted at baseline in 71 older adults participating in a larger, 8-week duration antidepressant randomized controlled trial. Correlations between DTI measures of white matter integrity evaluated with tract-based spatial statistics, baseline neurocognitive performance, and prospective antidepressant treatment outcome were evaluated. RESULTS Fractional anisotropy (FA), an index of white matter integrity, was significantly positively associated with better cognitive function as measured by the Initiation/Perseveration subscale of the Dementia Rating Scale in the bilateral superior longitudinal fasciculus (SLF), bilateral SLF-temporal, and right corticospinal tract (CST). An exploratory analysis limited to these tracts revealed that increased FA in the right CST, right SLF, and right SLF-temporal tracts was correlated with a greater decrease in depressive symptoms. Increased FA in the right CST predicted a greater chance of remission, while increased FA in the right CST and the right SLF predicted a greater chance of treatment response. CONCLUSION In late-life depression LLD subjects, white matter integrity was positively associated with executive function in white matter tracts which act as key connecting structures underlying the cognitive control network. These tracts may play a role as a positive prognostic factor in antidepressant treatment outcome.
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Affiliation(s)
- Xiaofu He
- Department of Psychiatry (XH, JRS, PJB, SPR, BRR), Vagelos College of Physicians and Surgeons, Columbia University, New York, NY; The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY.
| | - Elena Pueraro
- The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Yoojean Kim
- The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Carolina Montes Garcia
- The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Ben Maas
- Department of Neurology ( BM, AMB), Taub Institute for Research on Alzheimer's Disease and the Aging Brain, G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Jongwoo Choi
- The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Dakota A Egglefield
- The Graduate Center, City University of New York (DAE, SS, JRS), New York, NY; Queens College, City University of New York (DAE, SS. JRS), New York, NY
| | - Sophie Schiff
- The Graduate Center, City University of New York (DAE, SS, JRS), New York, NY; Queens College, City University of New York (DAE, SS. JRS), New York, NY
| | - Joel R Sneed
- Department of Psychiatry (XH, JRS, PJB, SPR, BRR), Vagelos College of Physicians and Surgeons, Columbia University, New York, NY; The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY; The Graduate Center, City University of New York (DAE, SS, JRS), New York, NY; Queens College, City University of New York (DAE, SS. JRS), New York, NY
| | - Patrick J Brown
- Department of Psychiatry (XH, JRS, PJB, SPR, BRR), Vagelos College of Physicians and Surgeons, Columbia University, New York, NY; The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Adam M Brickman
- Department of Neurology ( BM, AMB), Taub Institute for Research on Alzheimer's Disease and the Aging Brain, G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Steven P Roose
- Department of Psychiatry (XH, JRS, PJB, SPR, BRR), Vagelos College of Physicians and Surgeons, Columbia University, New York, NY; The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
| | - Bret R Rutherford
- Department of Psychiatry (XH, JRS, PJB, SPR, BRR), Vagelos College of Physicians and Surgeons, Columbia University, New York, NY; The New York State Psychiatric Institute (XH, EP, YK, CMG, JC, JRS, PJB, SPR, BRR), New York, NY
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Leenders AEM, Damatac CG, Soheili‐Nezhad S, Chauvin RJM, Mennes MJJ, Zwiers MP, van Rooij D, Akkermans SEA, Naaijen J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E. Associations between attention-deficit hyperactivity disorder (ADHD) symptom remission and white matter microstructure: A longitudinal analysis. JCPP ADVANCES 2021; 1:e12040. [PMID: 35434717 PMCID: PMC9012480 DOI: 10.1002/jcv2.12040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 08/19/2021] [Indexed: 12/18/2022] Open
Abstract
Background Attention-deficit hyperactivity disorder (ADHD) is associated with white matter (WM) microstructure. Our objective was to investigate how WM microstructure is longitudinally related to symptom remission in adolescents and young adults with ADHD. Methods We obtained diffusion-weighted imaging (DWI) data from 99 participants at two timepoints (mean age baseline: 16.91 years, mean age follow-up: 20.57 years). We used voxel-wise Tract-Based Spatial Statistics (TBSS) with permutation-based inference to investigate associations of inattention (IA) and hyperactivity-impulsivity (HI) symptom change with fractional anisotropy (FA) at baseline, follow-up, and change between time-points. Results Remission of combined HI and IA symptoms was significantly associated with reduced FA at follow-up in the left superior longitudinal fasciculus and the left corticospinal tract (CST; P FWE = 0.038 and P FWE = 0.044, respectively), mainly driven by an association between HI remission and follow-up CST FA (P FWE = 0.049). There was no significant association of combined symptom decrease with FA at baseline or with changes in FA between the two assessments. Conclusions In this longitudinal DWI study of ADHD using dimensional symptom scores, we show that greater symptom decrease is associated with lower follow-up FA in specific WM tracts. Altered FA thus may appear to follow, rather than precede, changes in symptom remission. Our findings indicate divergent WM developmental trajectories between individuals with persistent and remittent ADHD, and support the role of prefrontal and sensorimotor tracts in the remission of ADHD.
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Affiliation(s)
- Anne E. M. Leenders
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Christienne G. Damatac
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Sourena Soheili‐Nezhad
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Roselyne J. M. Chauvin
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Maarten J. J. Mennes
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Marcel P. Zwiers
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Daan van Rooij
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Sophie E. A. Akkermans
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Human GeneticsDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Jilly Naaijen
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Barbara Franke
- Department of Human GeneticsDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
- Department of PsychiatryDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Jan K. Buitelaar
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
- Karakter Child and Adolescent Psychiatry University CentreNijmegenThe Netherlands
| | - Christian F. Beckmann
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
- Centre for Functional MRI of the BrainUniversity of OxfordOxfordUK
| | - Emma Sprooten
- Centre for Cognitive NeuroimagingDonders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
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Poologaindran A, Lowe SR, Sughrue ME. The cortical organization of language: distilling human connectome insights for supratentorial neurosurgery. J Neurosurg 2021; 134:1959-1966. [PMID: 32736348 DOI: 10.3171/2020.5.jns191281] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 05/06/2020] [Indexed: 11/06/2022]
Abstract
Connectomics is the production and study of detailed "connection" maps within the nervous system. With unprecedented advances in imaging and high-performance computing, the construction of individualized connectomes for routine neurosurgical use is on the horizon. Multiple projects, including the Human Connectome Project (HCP), have unraveled new and exciting data describing the functional and structural connectivity of the brain. However, the abstraction from much of these data to clinical relevance remains elusive. In the context of preserving neurological function after supratentorial surgery, abstracting surgically salient points from the vast computational data in connectomics is of paramount importance. Herein, the authors discuss four interesting observations from the HCP data that have surgical relevance, with an emphasis on the cortical organization of language: 1) the existence of a motor speech area outside of Broca's area, 2) the eloquence of the frontal aslant tract, 3) the explanation of the medial frontal cognitive control networks, and 4) the establishment of the second ventral stream of language processing. From these connectome observations, the authors discuss the anatomical basis of their insights as well as relevant clinical applications. Together, these observations provide a firm platform for neurosurgeons to advance their knowledge of the cortical networks involved in language and to ultimately improve surgical outcomes. It is hoped that this report encourages neurosurgeons to explore new vistas in connectome-based neurosurgery.
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Affiliation(s)
- Anujan Poologaindran
- 1Brain Mapping Unit, Department of Psychiatry, University of Cambridge
- 2The Alan Turing Institute, London, United Kingdom
| | - Stephen R Lowe
- 3Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina; and
| | - Michael E Sughrue
- 1Brain Mapping Unit, Department of Psychiatry, University of Cambridge
- 4Department of Neurosurgery, Prince of Wales Private Hospital, Randwick, New South Wales, Australia
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9
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Henderson F, Parker D, Vijayakumari AA, Elliott M, Lucas T, McGarvey ML, Karpf L, Desiderio L, Harsch J, Levy S, Maloney-Wilensky E, Wolf RL, Hodges WB, Brem S, Verma R. Enhanced Fiber Tractography Using Edema Correction: Application and Evaluation in High-Grade Gliomas. Neurosurgery 2021; 89:246-256. [PMID: 33913502 DOI: 10.1093/neuros/nyab129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 02/14/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND A limitation of diffusion tensor imaging (DTI)-based tractography is peritumoral edema that confounds traditional diffusion-based magnetic resonance metrics. OBJECTIVE To augment fiber-tracking through peritumoral regions by performing novel edema correction on clinically feasible DTI acquisitions and assess the accuracy of the fiber-tracks using intraoperative stimulation mapping (ISM), task-based functional magnetic resonance imaging (fMRI) activation maps, and postoperative follow-up as reference standards. METHODS Edema correction, using our bi-compartment free water modeling algorithm (FERNET), was performed on clinically acquired DTI data from a cohort of 10 patients presenting with suspected high-grade glioma and peritumoral edema in proximity to and/or infiltrating language or motor pathways. Deterministic fiber-tracking was then performed on the corrected and uncorrected DTI to identify tracts pertaining to the eloquent region involved (language or motor). Tracking results were compared visually and quantitatively using mean fiber count, voxel count, and mean fiber length. The tracts through the edematous region were verified based on overlay with the corresponding motor or language task-based fMRI activation maps and intraoperative ISM points, as well as at time points after surgery when peritumoral edema had subsided. RESULTS Volume and number of fibers increased with application of edema correction; concordantly, mean fractional anisotropy decreased. Overlay with functional activation maps and ISM-verified eloquence of the increased fibers. Comparison with postsurgical follow-up scans with lower edema further confirmed the accuracy of the tracts. CONCLUSION This method of edema correction can be applied to standard clinical DTI to improve visualization of motor and language tracts in patients with glioma-associated peritumoral edema.
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Affiliation(s)
- Fraser Henderson
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Neurosurgery, The Medical University of South Carolina, Charleston, South Carolina, USA
| | - Drew Parker
- DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Anupa A Vijayakumari
- DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark Elliott
- Center for Magnetic Resonance and Optical Imaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Timothy Lucas
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael L McGarvey
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lauren Karpf
- Neuroradiology Clinical Research Division, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lisa Desiderio
- Neuroradiology Clinical Research Division, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jessica Harsch
- Neurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott Levy
- Neurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Eileen Maloney-Wilensky
- Neurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronald L Wolf
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Steven Brem
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ragini Verma
- DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Departments of Neurosurgery and Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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10
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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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11
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Yuan T, Ying J, Li C, Jin L, Kang J, Shi Y, Gui S, Liu C, Wang R, Zuo Z, Zhang Y. In Vivo Characterization of Cortical and White Matter Microstructural Pathology in Growth Hormone-Secreting Pituitary Adenoma. Front Oncol 2021; 11:641359. [PMID: 33912457 PMCID: PMC8072046 DOI: 10.3389/fonc.2021.641359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/03/2021] [Indexed: 11/13/2022] Open
Abstract
Background The growth hormone (GH) and insulin-like-growth factor 1 (IGF-1) axis has long been recognized for its critical role in brain growth, development. This study was designed to investigate microstructural pathology in the cortex and white matter in growth hormone-secreting pituitary adenoma, which characterized by excessive secretion of GH and IGF-1. Methods 29 patients with growth hormone-secreting pituitary adenoma (acromegaly) and 31 patients with non-functional pituitary adenoma as controls were recruited and assessed using neuropsychological test, surface-based morphometry, T1/T2-weighted myelin-sensitive magnetic resonance imaging, neurite orientation dispersion and density imaging, and diffusion tensor imaging. Results Compared to controls, we found 1) acromegaly had significantly increased cortical thickness throughout the bilateral cortex (pFDR < 0.05). 2) T1/T2-weighted ratio in the cortex were decreased in the bilateral occipital cortex and pre/postcentral central gyri but increased in the bilateral fusiform, insular, and superior temporal gyri in acromegaly (pFDR < 0.05). 3) T1/T2-weighted ratio were decreased in most bundles, and only a few areas showed increases in acromegaly (pFDR < 0.05). 4) Neurite density index (NDI) was significantly lower throughout the cortex and bundles in acromegaly (pTFCE < 0.05). 5) lower fractional anisotropy (FA) and higher mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) in extensive bundles in acromegaly (pTFCE < 0.05). 6) microstructural pathology in the cortex and white matter were associated with neuropsychological dysfunction in acromegaly. Conclusions Our findings suggested that long-term persistent and excess serum GH/IGF-1 levels alter the microstructure in the cortex and white matter in acromegaly, which may be responsible for neuropsychological dysfunction.
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Affiliation(s)
- Taoyang Yuan
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Jianyou Ying
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Chuzhong Li
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Lu Jin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jie Kang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuanyu Shi
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Songbai Gui
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chunhui Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rui Wang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
| | - Yazhuo Zhang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Institute for Brain Disorders Brain Tumour Center, China National Clinical Research Center for Neurological Diseases, Key Laboratory of Central Nervous System Injury Research, Beijing, China
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12
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Jiménez de la Peña M, Jiménez de Domingo A, Tirado P, Calleja-Pérez B, Alcaraz LA, Álvarez S, Williams J, Hagman JR, Németh AH, Fernández-Jaén A. Neuroimaging Findings in Patients with EBF3 Mutations: Report of Two Cases. Mol Syndromol 2021; 12:186-193. [PMID: 34177436 DOI: 10.1159/000513583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 12/03/2020] [Indexed: 12/27/2022] Open
Abstract
Early B cell factor 3 (EBF3) is a transcription factor involved in brain development. Heterozygous, loss-of-function mutations in EBF3 have been reported in an autosomal dominant neurodevelopmental syndrome characterized by hypotonia, ataxia, and developmental delay (sometimes described as "HADD"s). We report 2 unrelated cases with novel de novo EBF3 mutations: c.455G>T (p.Arg152Leu) and c.962dup (p.Tyr321*) to expand the genotype/phenotype correlations of this disorder; clinical, neuropsychological, and MRI studies were used to define the phenotype. IQ was in the normal range and diffusion tensor imaging revealed asymmetric alterations of the longitudinal fasciculus in both cases. Our results demonstrate that EBF3 mutations can underlie neurodevelopmental disorders without intellectual disability. Long tract abnormalities have not been previously recognized and suggest that they may be an unrecognized and characteristic feature in this syndrome.
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Affiliation(s)
| | | | - Pilar Tirado
- Department of Pediatric Neurology, Hospital Universitario La Paz, Madrid, Spain
| | | | | | - Sara Álvarez
- Genomics and Medicine, NIMGenetics, Madrid, Spain
| | - Jonathan Williams
- Oxford Medical Genetics Laboratories, Churchill Hospital, Oxford, United Kingdom
| | - James R Hagman
- Department of Immunology and Genomic Medicine, National Jewish Health, Denver, Colorado, USA
| | - Andrea H Németh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.,Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Alberto Fernández-Jaén
- Department of Pediatric Neurology, Hospital Universitario Quirónsalud, and Medicine School, Universidad Europea de Madrid, Madrid, Spain
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13
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Henderson F, Abdullah KG, Verma R, Brem S. Tractography and the connectome in neurosurgical treatment of gliomas: the premise, the progress, and the potential. Neurosurg Focus 2021; 48:E6. [PMID: 32006950 DOI: 10.3171/2019.11.focus19785] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 11/13/2019] [Indexed: 12/21/2022]
Abstract
The ability of diffusion tensor MRI to detect the preferential diffusion of water in cerebral white matter tracts enables neurosurgeons to noninvasively visualize the relationship of lesions to functional neural pathways. Although viewed as a research tool in its infancy, diffusion tractography has evolved into a neurosurgical tool with applications in glioma surgery that are enhanced by evolutions in crossing fiber visualization, edema correction, and automated tract identification. In this paper the current literature supporting the use of tractography in brain tumor surgery is summarized, highlighting important clinical studies on the application of diffusion tensor imaging (DTI) for preoperative planning of glioma resection, and risk assessment to analyze postoperative outcomes. The key methods of tractography in current practice and crucial white matter fiber bundles are summarized. After a review of the physical basis of DTI and post-DTI tractography, the authors discuss the methodologies with which to adapt DT image processing for surgical planning, as well as the potential of connectomic imaging to facilitate a network approach to oncofunctional optimization in glioma surgery.
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Affiliation(s)
- Fraser Henderson
- 1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.,3Department of Neurosurgery, The Medical University of South Carolina, Charleston, South Carolina; and
| | - Kalil G Abdullah
- 4Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ragini Verma
- 1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.,2DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Steven Brem
- 1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania
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14
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Ren H, Zhu J, Su X, Chen S, Zeng S, Lan X, Zou LY, Sughrue ME, Guo Y. Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease. Front Public Health 2020; 8:584430. [PMID: 33330326 PMCID: PMC7732457 DOI: 10.3389/fpubh.2020.584430] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/09/2020] [Indexed: 12/12/2022] Open
Abstract
While machine learning approaches to analyzing Alzheimer disease connectome neuroimaging data have been studied, many have limited ability to provide insight in individual patterns of disease and lack the ability to provide actionable information about where in the brain a specific patient's disease is located. We studied a cohort of patients with Alzheimer disease who underwent resting state functional magnetic resonance imaging and diffusion tractography imaging. These images were processed, and a structural and functional connectivity matrix was generated using the HCP cortical and subcortical atlas. By generating a machine learning model, individual-level structural and functional anomalies detection and characterization were explored in this study. Our study found that structural disease burden in Alzheimer's patients is mainly focused in the subcortical structures and the Default mode network (DMN). Interestingly, functional anomalies were less consistent between individuals and less common in general in these patients. More intriguing was that some structural anomalies were noted in all patients in the study, namely a reduction in fibers involving parcellations in the right anterior cingulate. Alternately, the functional consequences of connectivity loss were cortical and variable. Integrated structural/functional connectomics might provide a useful tool for assessing AD progression, while few concerns have been made for analyzing the mismatch between these two. We performed a preliminary exploration into a set of Alzheimer disease data, intending to improve a personalized approach to understanding individual connectomes in an actionable manner. Specifically, we found that there were consistent patterns of white matter fiber loss, mainly focused around the DMN and deep subcortical structures, which were present in nearly all patients with clinical AD. Functional magnetic resonance imaging shows abnormal functional connectivity different within the patients, which may be used as the individual target for further therapeutic strategies making, like non-invasive stimulation technology.
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Affiliation(s)
- Huixia Ren
- Department of Neurology, The Second Clinical Medical College, Shenzhen People's Hospital, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jin Zhu
- Department of Medical Imaging, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Xiaolin Su
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Siyan Chen
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Silin Zeng
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Xiaoyong Lan
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Liang-Yu Zou
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Michael E. Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Yi Guo
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
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15
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Komaitis S, Kalyvas AV, Skandalakis GP, Drosos E, Lani E, Liouta E, Liakos F, Kalamatianos T, Piagkou M, Emelifeonwu JA, Stranjalis G, Koutsarnakis C. The frontal longitudinal system as revealed through the fiber microdissection technique: structural evidence underpinning the direct connectivity of the prefrontal-premotor circuitry. J Neurosurg 2020; 133:1503-1515. [PMID: 31585424 DOI: 10.3171/2019.6.jns191224] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/13/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this study was to investigate the morphology, connectivity, and correlative anatomy of the longitudinal group of fibers residing in the frontal area, which resemble the anterior extension of the superior longitudinal fasciculus (SLF) and were previously described as the frontal longitudinal system (FLS). METHODS Fifteen normal adult formalin-fixed cerebral hemispheres collected from cadavers were studied using the Klingler microdissection technique. Lateral to medial dissections were performed in a stepwise fashion starting from the frontal area and extending to the temporoparietal regions. RESULTS The FLS was consistently identified as a fiber pathway residing just under the superficial U-fibers of the middle frontal gyrus or middle frontal sulcus (when present) and extending as far as the frontal pole. The authors were able to record two different configurations: one consisting of two distinct, parallel, longitudinal fiber chains (13% of cases), and the other consisting of a single stem of fibers (87% of cases). The fiber chains' cortical terminations in the frontal and prefrontal area were also traced. More specifically, the FLS was always recorded to terminate in Brodmann areas 6, 46, 45, and 10 (premotor cortex, dorsolateral prefrontal cortex, pars triangularis, and frontal pole, respectively), whereas terminations in Brodmann areas 4 (primary motor cortex), 47 (pars orbitalis), and 9 were also encountered in some specimens. In relation to the SLF system, the FLS represented its anterior continuation in the majority of the hemispheres, whereas in a few cases it was recorded as a completely distinct tract. Interestingly, the FLS comprised shorter fibers that were recorded to interconnect exclusively frontal areas, thus exhibiting different fiber architecture when compared to the long fibers forming the SLF. CONCLUSIONS The current study provides consistent, focused, and robust evidence on the morphology, architecture, and correlative anatomy of the FLS. This fiber system participates in the axonal connectivity of the prefrontal-premotor cortices and allegedly subserves cognitive-motor functions. Based in the SLF hypersegmentation concept that has been advocated by previous authors, the FLS should be approached as a distinct frontal segment within the superior longitudinal system.
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Affiliation(s)
- Spyridon Komaitis
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 2Department of Neurosurgery, National and Kapodistrian University of Athens
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Aristotelis V Kalyvas
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 2Department of Neurosurgery, National and Kapodistrian University of Athens
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Georgios P Skandalakis
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Evangelos Drosos
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 2Department of Neurosurgery, National and Kapodistrian University of Athens
| | - Evgenia Lani
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - Evangelia Liouta
- 6Hellenic Center for Neurosurgical Research, "Petros Kokkalis," Athens, Greece
| | - Faidon Liakos
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
| | | | - Maria Piagkou
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
| | - John A Emelifeonwu
- 4Department of Clinical Neurosciences, Western General Hospital, Edinburgh
- 5Department of Clinical Neurosciences, Edinburgh Microneurosurgery Education Laboratory, Edinburgh, UK; and
| | - George Stranjalis
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 2Department of Neurosurgery, National and Kapodistrian University of Athens
- 6Hellenic Center for Neurosurgical Research, "Petros Kokkalis," Athens, Greece
| | - Christos Koutsarnakis
- 1Athens Microneurosurgery Laboratory, National and Kapodistrian University of Athens School of Medicine, Athens
- 2Department of Neurosurgery, National and Kapodistrian University of Athens
- 3Department of Anatomy, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
- 5Department of Clinical Neurosciences, Edinburgh Microneurosurgery Education Laboratory, Edinburgh, UK; and
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16
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Koshiyama D, Fukunaga M, Okada N, Morita K, Nemoto K, Yamashita F, Yamamori H, Yasuda Y, Matsumoto J, Fujimoto M, Kudo N, Azechi H, Watanabe Y, Kasai K, Hashimoto R. Association between the superior longitudinal fasciculus and perceptual organization and working memory: A diffusion tensor imaging study. Neurosci Lett 2020; 738:135349. [PMID: 32889005 DOI: 10.1016/j.neulet.2020.135349] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/21/2020] [Accepted: 08/31/2020] [Indexed: 12/31/2022]
Abstract
The superior longitudinal fasciculus (SLF) is a white matter structure that has long bidirectional projections among the prefrontal, temporal, occipital, and parietal cortices and extends over a wide area in a human brain. Recently, anatomical details of the SLF have been clarified using a diffusion tensor imaging (DTI) template of subjects from the Human Connectome Project. However, the neurobehavioral functions of the SLF have not been fully elucidated. It is speculated that the SLF contributes to a broad cognitive domain including visuospatial nonverbal cognitive ability and verbal memory ability because of its anatomical location; however, previous findings in imaging studies are inconsistent. Showing the contribution of the SLF to cognitive function may be important for improving our understanding of the functional role of white matter structures in the human brain. This study aimed to identify the relationship between DTI indices of the SLF and the Verbal Comprehension, Perceptual Organization, Working Memory and Processing Speed Indices of the Wechsler Adult Intelligence Scale-Third Edition using regression analysis, accounting for the effects of age, sex and scanner type in 583 healthy volunteers. We showed significant correlations between the fractional anisotropy of the left SLF and the Perceptual Organization Index (β = 0.21, p = 4.5×10-4) and Working Memory Index (β = 0.19, p = 4.0×10-4). These findings may have implications for the rehabilitation of cognitive function in patients with neurological disorders.
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Affiliation(s)
- Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Fumio Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan; Japan Community Health Care Organization, Osaka Hospital, Osaka, Japan; Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan; Life Grow Brilliant Mental Clinic, Medical Corporation Foster, Osaka, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Michiko Fujimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Noriko Kudo
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hirotsugu Azechi
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Shiga, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan.
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan; Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
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17
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Chen QF, Zhang XH, Huang NX, Chen HJ. Identification of Amyotrophic Lateral Sclerosis Based on Diffusion Tensor Imaging and Support Vector Machine. Front Neurol 2020; 11:275. [PMID: 32411072 PMCID: PMC7198809 DOI: 10.3389/fneur.2020.00275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/24/2020] [Indexed: 11/13/2022] Open
Abstract
Objectives: White matter (WM) impairments involving both motor and extra-motor areas have been well-documented in amyotrophic lateral sclerosis (ALS). This study tested the potential of diffusion measurements in WM for identifying ALS based on support vector machine (SVM). Methods: Voxel-wise fractional anisotropy (FA) values of diffusion tensor images (DTI) were extracted from 22 ALS patients and 26 healthy controls and served as discrimination features. The revised ALS Functional Rating Scale (ALSFRS-R) was employed to assess ALS severity. Feature ranking and selection were based on Fisher scores. A linear kernel SVM algorithm was applied to build the classification model, from which the classification performance was evaluated. To promote classifier generalization ability, a leave-one-out cross-validation (LOOCV) method was adopted. Results: By using the 2,400~3,400 ranked features as optimal features, the highest classification accuracy of 83.33% (sensitivity = 77.27% and specificity = 88.46%, P = 0.0001) was achieved, with an area under receiver operating characteristic curve of 0.862. The predicted function value was positively correlated with patient ALSFRS-R scores (r = 0.493, P = 0.020). In the optimized SVM model, FA values from several regions mostly contributed to classification, primarily involving the corticospinal tract pathway, postcentral gyrus, and frontal and parietal areas. Conclusions: Our results suggest the feasibility of ALS diagnosis based on SVM analysis and diffusion measurements of WM. Additional investigations using a larger cohort is recommended in order to validate the results of this study.
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Affiliation(s)
- Qiu-Feng Chen
- College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiao-Hong Zhang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Nao-Xin Huang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
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Zhong Y, Huang Y, Ding H. Re-understanding of edema zone from the nerve fiber bundles: A narrative review. GLIOMA 2020. [DOI: 10.4103/glioma.glioma_28_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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