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Clemens B, Emri M, Dömötör J, Fekete I, Fekete K. Left hemispheric epilepsy is more frequent and has worse clinical course that right hemispheric epilepsy. Epilepsy Behav 2024; 159:110006. [PMID: 39181104 DOI: 10.1016/j.yebeh.2024.110006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 07/12/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION Few studies demonstrated that focal epilepsy (FE) with left hemispheric (LH) seizure onset is more frequent than with right hemispheric (RH) seizure onset. In addition, patients with LH seizure onset show worse clinical course compared to those with RH seizure onset. The aim of our study was to investigate both issues in a great cohort of FE patients. METHODS In the retrospective study, we reviewed the clinical and paraclinical data of 682 patients with exclusively LH or RH seizure onset. We ascertained the laterality of seizure onset mainly by ictal and postictal semiology and ictal EEG findings. In the absence of ictal data, the basis of lateralization was the evidence of unilateral structural brain abnormality together with a corresponding interictal EEG finding. The endpoint of analysis of the clinical course was the presence/absence of five-year remission on drug treatment in the first ten years of treatment. RESULTS Out of the 682 patients, 378 (55.4 per cent) had LH and 304 (44.6 per cent) had RH seizure onset. The difference was statistically significant (p = 0.04). Out of them, 213 LH and 156 RH patients were eligible to evaluate prognosis. Five-years-remission was attained by 71 patients (33.3 per cent) in the LH, and 65 (41.7 per cent) in the RH group. The difference was statistically significant (p = 0.05). CONCLUSION We demonstrated the LH dominance of seizure onset and the worse clinical course of the patients with LH seizure onset. The findings are manifestations of the lateralized epileptic propensity of the brain. The dissimilar clinical course of the patient with LH and RH seizure onset may shape the general prognostic scheme in FE patients.
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Affiliation(s)
- Béla Clemens
- Department of Neurology, Kenézy Gyula Campus, Faculty of Medicine, University of Debrecen, Hungary
| | - Miklós Emri
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Hungary
| | - Johanna Dömötör
- Department of Neurology, Kenézy Gyula Campus, Faculty of Medicine, University of Debrecen, Hungary
| | - István Fekete
- Department of Neurology, Faculty of Medicine, University of Debrecen, Hungary
| | - Klára Fekete
- Department of Neurology, Faculty of Medicine, University of Debrecen, Hungary.
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Preim B, Meuschke M, Weis V. A Survey of Medical Visualization Through the Lens of Metaphors. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2024; 30:6639-6664. [PMID: 37934633 DOI: 10.1109/tvcg.2023.3330546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
We provide an overview of metaphors that were used in medical visualization and related user interfaces. Metaphors are employed to translate concepts from a source domain to a target domain. The survey is grounded in a discussion of metaphor-based design involving the identification and reflection of candidate metaphors. We consider metaphors that have a source domain in one branch of medicine, e.g., the virtual mirror that solves problems in orthopedics and laparoscopy with a mirror that resembles the dentist's mirror. Other metaphors employ the physical world as the source domain, such as crepuscular rays that inspire a solution for access planning in tumor therapy. Aviation is another source of inspiration, leading to metaphors, such as surgical cockpits, surgical control towers, and surgery navigation according to an instrument flight. This paper should raise awareness for metaphors and their potential to focus the design of computer-assisted systems on useful features and a positive user experience. Limitations and potential drawbacks of a metaphor-based user interface design for medical applications are also considered.
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Jiao S, Wang K, Luo Y, Zeng J, Han Z. Plastic reorganization of the topological asymmetry of hemispheric white matter networks induced by congenital visual experience deprivation. Neuroimage 2024; 299:120844. [PMID: 39260781 DOI: 10.1016/j.neuroimage.2024.120844] [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: 03/06/2024] [Revised: 09/01/2024] [Accepted: 09/08/2024] [Indexed: 09/13/2024] Open
Abstract
Congenital blindness offers a unique opportunity to investigate human brain plasticity. The influence of congenital visual loss on the asymmetry of the structural network remains poorly understood. To address this question, we recruited 21 participants with congenital blindness (CB) and 21 age-matched sighted controls (SCs). Employing diffusion and structural magnetic resonance imaging, we constructed hemispheric white matter (WM) networks using deterministic fiber tractography and applied graph theory methodologies to assess topological efficiency (i.e., network global efficiency, network local efficiency, and nodal local efficiency) within these networks. Statistical analyses revealed a consistent leftward asymmetry in global efficiency across both groups. However, a different pattern emerged in network local efficiency, with the CB group exhibiting a symmetric state, while the SC group showed a leftward asymmetry. Specifically, compared to the SC group, the CB group exhibited a decrease in local efficiency in the left hemisphere, which was caused by a reduction in the nodal properties of some key regions mainly distributed in the left occipital lobe. Furthermore, interhemispheric tracts connecting these key regions exhibited significant structural changes primarily in the splenium of the corpus callosum. This result confirms the initial observation that the reorganization in asymmetry of the WM network following congenital visual loss is associated with structural changes in the corpus callosum. These findings provide novel insights into the neuroplasticity and adaptability of the brain, particularly at the network level.
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Affiliation(s)
- Saiyi Jiao
- National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Ke Wang
- National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; School of System Science, Beijing Normal University, Beijing 100875, China
| | - Yudan Luo
- National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Department of Psychology and Art Education, Chengdu Education Research Institute, Chengdu 610036, China
| | - Jiahong Zeng
- National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Zaizhu Han
- National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
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Wróbel PP, Braaß H, Frey BM, Bönstrup M, Guder S, Frontzkowski LK, Feldheim JF, Cheng B, Rathi Y, Pasternak O, Thomalla G, Koerte IK, Shenton ME, Gerloff C, Quandt F, Higgen FL, Schulz R. Cortical microstructure and hemispheric specialization-A diffusion-imaging analysis in younger and older adults. Eur J Neurosci 2024. [PMID: 39205547 DOI: 10.1111/ejn.16518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/06/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024]
Abstract
Characterizing cortical plasticity becomes increasingly important for identifying compensatory mechanisms and structural reserve in the ageing population. While cortical thickness (CT) largely contributed to systems neuroscience, it incompletely informs about the underlying neuroplastic pathophysiology. In turn, microstructural characteristics may correspond to atrophy mechanisms in a more sensitive way. Fractional anisotropy, a diffusion tensor imaging (DTI) measure, is inversely related to cortical histologic complexity. Axial diffusivity and radial diffusivity are assumed to be linked to the density of structures oriented perpendicular and parallel to the cortical surface, respectively. We hypothesized (1) that cortical DTI will reveal microstructural correlates for hemispheric specialization, particularly in the language and motor systems, and (2) that lateralization of cortical DTI parameters will show an age effect, paralleling age-related changes in activation, especially in the prefrontal cortex. We analysed data from healthy younger and older adult participants (N = 91). DTI and CT data were extracted from regions of the Destrieux atlas. Diffusion measures showed lateralization in specialized motor, language, visual, auditory and inferior parietal cortices. Age-dependent increased lateralization for DTI measures was observed in the prefrontal, angular, superior temporal and lateral occipital cortex. CT did not show any age-dependent alterations in lateralization. Our observations argue that cortical DTI can capture microstructural properties associated with functional specialization, resembling findings from histology. Age effects on diffusion measures in the integrative prefrontal and parietal areas may shed novel light on the atrophy-related plasticity in healthy ageing.
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Affiliation(s)
- Paweł P Wróbel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hanna Braaß
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Benedikt M Frey
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marlene Bönstrup
- Department of Neurology, University Medical Center, Leipzig, Germany
| | - Stephanie Guder
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas K Frontzkowski
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan F Feldheim
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fanny Quandt
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Focko L Higgen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robert Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Li J, Lam LCW, Lu H. Decoding MRI-informed brain age using mutual information. Insights Imaging 2024; 15:216. [PMID: 39186199 PMCID: PMC11347523 DOI: 10.1186/s13244-024-01791-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 07/31/2024] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVE We aimed to develop a standardized method to investigate the relationship between estimated brain age and regional morphometric features, meeting the criteria for simplicity, generalization, and intuitive interpretability. METHODS We utilized T1-weighted magnetic resonance imaging (MRI) data from the Cambridge Centre for Ageing and Neuroscience project (N = 609) and employed a support vector regression method to train a brain age model. The pre-trained brain age model was applied to the dataset of the brain development project (N = 547). Kraskov (KSG) estimator was used to compute the mutual information (MI) value between brain age and regional morphometric features, including gray matter volume (GMV), white matter volume (WMV), cerebrospinal fluid (CSF) volume, and cortical thickness (CT). RESULTS Among four types of brain features, GMV had the highest MI value (8.71), peaking in the pre-central gyrus (0.69). CSF volume was ranked second (7.76), with the highest MI value in the cingulate (0.87). CT was ranked third (6.22), with the highest MI value in superior temporal gyrus (0.53). WMV had the lowest MI value (4.59), with the insula showing the highest MI value (0.53). For brain parenchyma, the volume of the superior frontal gyrus exhibited the highest MI value (0.80). CONCLUSION This is the first demonstration that MI value between estimated brain age and morphometric features may serve as a benchmark for assessing the regional contributions to estimated brain age. Our findings highlighted that both GMV and CSF are the key features that determined the estimated brain age, which may add value to existing computational models of brain age. CRITICAL RELEVANCE STATEMENT Mutual information (MI) analysis reveals gray matter volume (GMV) and cerebrospinal fluid (CSF) volume as pivotal in computing individuals' brain age. KEY POINTS Mutual information (MI) interprets estimated brain age with morphometric features. Gray matter volume in the pre-central gyrus has the highest MI value for estimated brain age. Cerebrospinal fluid volume in the cingulate has the highest MI value. Regarding brain parenchymal volume, the superior frontal gyrus has the highest MI value. The value of mutual information underscores the key brain regions related to brain age.
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Affiliation(s)
- Jing Li
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Linda Chiu Wa Lam
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hanna Lu
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China.
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
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Postic PY, Leprince Y, Brosset S, Drutel L, Peyric E, Ben Abdallah I, Bekha D, Neumane S, Duchesnay E, Dinomais M, Chevignard M, Hertz-Pannier L. Brain growth until adolescence after a neonatal focal injury: sex related differences beyond lesion effect. Front Neurosci 2024; 18:1405381. [PMID: 39247049 PMCID: PMC11378422 DOI: 10.3389/fnins.2024.1405381] [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: 03/22/2024] [Accepted: 07/26/2024] [Indexed: 09/10/2024] Open
Abstract
Introduction Early focal brain injuries lead to long-term disabilities with frequent cognitive impairments, suggesting global dysfunction beyond the lesion. While plasticity of the immature brain promotes better learning, outcome variability across individuals is multifactorial. Males are more vulnerable to early injuries and neurodevelopmental disorders than females, but long-term sex differences in brain growth after an early focal lesion have not been described yet. With this MRI longitudinal morphometry study of brain development after a Neonatal Arterial Ischemic Stroke (NAIS), we searched for differences between males and females in the trajectories of ipsi- and contralesional gray matter growth in childhood and adolescence, while accounting for lesion characteristics. Methods We relied on a longitudinal cohort (AVCnn) of patients with unilateral NAIS who underwent clinical and MRI assessments at ages 7 and 16 were compared to age-matched controls. Non-lesioned volumes of gray matter (hemispheres, lobes, regions, deep structures, cerebellum) were extracted from segmented T1 MRI images at 7 (Patients: 23 M, 16 F; Controls: 17 M, 18 F) and 16 (Patients: 18 M, 11 F; Controls: 16 M, 15 F). These volumes were analyzed using a Linear Mixed Model accounting for age, sex, and lesion characteristics. Results Whole hemisphere volumes were reduced at both ages in patients compared to controls (gray matter volume: -16% in males, -10% in females). In ipsilesional hemisphere, cortical gray matter and thalamic volume losses (average -13%) mostly depended on lesion severity, suggesting diaschisis, with minimal effect of patient sex. In the contralesional hemisphere however, we consistently found sex differences in gray matter volumes, as only male volumes were smaller than in male controls (average -7.5%), mostly in territories mirroring the contralateral lesion. Females did not significantly deviate from the typical trajectories of female controls. Similar sex differences were found in both cerebellar hemispheres. Discussion These results suggest sex-dependent growth trajectories after an early brain lesion with a contralesional growth deficit in males only. The similarity of patterns at ages 7 and 16 suggests that puberty has little effect on these trajectories, and that most of the deviation in males occurs in early childhood, in line with the well-described perinatal vulnerability of the male brain, and with no compensation thereafter.
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Affiliation(s)
- Pierre-Yves Postic
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale (LIB), Paris, France
| | - Yann Leprince
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
| | - Soraya Brosset
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
| | - Laure Drutel
- LP3C, Rennes 2 University, Rennes, France
- French National Reference Center for Pediatric Stroke, CHU de Saint-Etienne, Saint-Etienne, France
| | - Emeline Peyric
- Pediatric Neurology Department, HFME, Hospices Civils de Lyon, Lyon, France
| | - Ines Ben Abdallah
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
| | - Dhaif Bekha
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
| | - Sara Neumane
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
- Université Paris-Saclay, UVSQ - APHP, Pediatric Physical Medicine and Rehabilitation Department, Raymond Poincaré University Hospital, Garches, France
| | - Edouard Duchesnay
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, BAOBAB/GAIA/SIGNATURE, Gif-sur-Yvette, France
| | - Mickael Dinomais
- Department of Physical Medicine and Rehabilitation, Angers University Hospital Centre, Angers, France
| | - Mathilde Chevignard
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale (LIB), Paris, France
- Rehabilitation Department for Children with Acquired Brain Injury, Saint Maurice Hospitals, Saint Maurice, France
- Sorbonne University, GRC 24 Handicap Moteur Cognitif et Réadaptation (HaMCRe), Paris, France
| | - Lucie Hertz-Pannier
- CEA Paris-Saclay, Frederic Joliot Institute, NeuroSpin, UNIACT, Gif-sur-Yvette, France
- INSERM, Université Paris Cité, UMR 1141 NeuroDiderot, InDEV, Paris, France
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Bagheri A, Pasande M, Bello K, Araabi BN, Akhondi-Asl A. Discovering the effective connectome of the brain with dynamic Bayesian DAG learning. Neuroimage 2024; 297:120684. [PMID: 38880310 DOI: 10.1016/j.neuroimage.2024.120684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024] Open
Abstract
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discovery methods have shown significant improvements in extracting the causal structure and inferring effective connectivity. However, learning DEC through these methods still faces two main challenges: one with the fundamental impotence of high-dimensional dynamic DAG discovery methods and the other with the low quality of fMRI data. In this paper, we introduce Bayesian Dynamic DAG learning with M-matrices Acyclicity characterization (BDyMA) method to address the challenges in discovering DEC. The presented dynamic DAG enables us to discover direct feedback loop edges as well. Leveraging an unconstrained framework in the BDyMA method leads to more accurate results in detecting high-dimensional networks, achieving sparser outcomes, making it particularly suitable for extracting DEC. Additionally, the score function of the BDyMA method allows the incorporation of prior knowledge into the process of dynamic causal discovery which further enhances the accuracy of results. Comprehensive simulations on synthetic data and experiments on Human Connectome Project (HCP) data demonstrate that our method can handle both of the two main challenges, yielding more accurate and reliable DEC compared to state-of-the-art and traditional methods. Additionally, we investigate the trustworthiness of DTI data as prior knowledge for DEC discovery and show the improvements in DEC discovery when the DTI data is incorporated into the process.
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Affiliation(s)
- Abdolmahdi Bagheri
- School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran.
| | - Mohammad Pasande
- School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran
| | - Kevin Bello
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA
| | - Babak Nadjar Araabi
- School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran
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Taghvaei M, Jones CK, Luna LP, Gujar SK, Sair HI. Asymmetry of the Frontal Aslant Tract Depends on Handedness. AJNR Am J Neuroradiol 2024; 45:1090-1097. [PMID: 38964863 PMCID: PMC11383403 DOI: 10.3174/ajnr.a8270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/28/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND AND PURPOSE The human brain displays structural and functional disparities between its hemispheres, with such asymmetry extending to the frontal aslant tract. This plays a role in a variety of cognitive functions, including speech production, language processing, and executive functions. However, the factors influencing the laterality of the frontal aslant tract remain incompletely understood. Handedness is hypothesized to impact frontal aslant tract laterality, given its involvement in both language and motor control. In this study, we aimed to investigate the relationship between handedness and frontal aslant tract lateralization, providing insight into this aspect of brain organization. MATERIALS AND METHODS The Automated Tractography Pipeline was used to generate the frontal aslant tract for both right and left hemispheres in a cohort of 720 subjects sourced from the publicly available Human Connectome Project in Aging database. Subsequently, macrostructural and microstructural parameters of the right and left frontal aslant tract were extracted for each individual in the study population. The Edinburgh Handedness Inventory scores were used for the classification of handedness, and a comparative analysis across various handedness groups was performed. RESULTS An age-related decline in both macrostructural parameters and microstructural integrity was noted within the studied population. The frontal aslant tract demonstrated a greater volume and larger diameter in male subjects compared with female participants. Additionally, a left-side laterality of the frontal aslant tract was observed within the general population. In the right-handed group, the volume (P < .001), length (P < .001), and diameter (P = .004) of the left frontal aslant tract were found to be higher than those of the right frontal aslant tract. Conversely, in the left-handed group, the volume (P = .040) and diameter (P = .032) of the left frontal aslant tract were lower than those of the right frontal aslant tract. Furthermore, in the right-handed group, the volume and diameter of the frontal aslant tract showed left-sided lateralization, while in the left-handed group, a right-sided lateralization was evident. CONCLUSIONS The laterality of the frontal aslant tract appears to differ with handedness. This finding highlights the complex interaction between brain lateralization and handedness, emphasizing the importance of considering handedness as a factor in evaluating brain structure and function.
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Affiliation(s)
- Mohammad Taghvaei
- From the Department of Neurology (M.T.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - Craig K Jones
- Department of Computer Science (C.K.J.), The Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland
- The Malone Center for Engineering in Healthcare (C.K.J., H.I.S.), The Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland
- The Russell. H. Morgan Department of Radiology and Radiological Science (C.K.J., L.P.L., S.K.G., H.I.S.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Licia P Luna
- The Russell. H. Morgan Department of Radiology and Radiological Science (C.K.J., L.P.L., S.K.G., H.I.S.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sachin K Gujar
- The Russell. H. Morgan Department of Radiology and Radiological Science (C.K.J., L.P.L., S.K.G., H.I.S.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Haris I Sair
- The Malone Center for Engineering in Healthcare (C.K.J., H.I.S.), The Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland
- The Russell. H. Morgan Department of Radiology and Radiological Science (C.K.J., L.P.L., S.K.G., H.I.S.), Johns Hopkins University School of Medicine, Baltimore, Maryland
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Bonandrini R, Gornetti E, Paulesu E. A meta-analytical account of the functional lateralization of the reading network. Cortex 2024; 177:363-384. [PMID: 38936265 DOI: 10.1016/j.cortex.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/25/2024] [Accepted: 05/29/2024] [Indexed: 06/29/2024]
Abstract
The observation that the neural correlates of reading are left-lateralized is ubiquitous in the cognitive neuroscience and neuropsychological literature. Still, reading is served by a constellation of neural units, and the extent to which these units are consistently left-lateralized is unclear. In this regard, the functional lateralization of the fusiform gyrus is of particular interest, by virtue of its hypothesized role as a "visual word form area". A quantitative Activation Likelihood Estimation meta-analysis was conducted on activation foci from 35 experiments investigating silent reading, and both a whole-brain and a bayesian ROI-based approach were used to assess the lateralization of the data submitted to meta-analysis. Perirolandic areas showed the highest level of left-lateralization, the fusiform cortex and the parietal cortex exhibited only a moderate pattern of left-lateralization, while in the occipital, insular cortices and in the cerebellum the lateralization turned out to be the lowest observed. The relatively limited functional lateralization of the fusiform gyrus was further explored in a regression analysis on the lateralization profile of each study. The functional lateralization of the fusiform gyrus during reading was positively associated with the lateralization of the precentral and inferior occipital gyri and negatively associated with the lateralization of the triangular portion of the inferior frontal gyrus and of the temporal pole. Overall, the present data highlight how lateralization patterns differ within the reading network. Furthermore, the present data highlight how the functional lateralization of the fusiform gyrus during reading is related to the degree of functional lateralization of other language brain areas.
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Affiliation(s)
| | - Edoardo Gornetti
- Department of Psychology, University of Milano-Bicocca, Milan, Italy; Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; The International Max Planck Research School for Language Sciences, Nijmegen, the Netherlands
| | - Eraldo Paulesu
- Department of Psychology, University of Milano-Bicocca, Milan, Italy; fMRI Unit, IRCCS Orthopedic Institute Galeazzi, Milan, Italy
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Kurth F, Schijven D, van den Heuvel OA, Hoogman M, van Rooij D, Stein DJ, Buitelaar JK, Bölte S, Auzias G, Kushki A, Venkatasubramanian G, Rubia K, Bollmann S, Isaksson J, Jaspers‐Fayer F, Marsh R, Batistuzzo MC, Arnold PD, Bressan RA, Stewart SE, Gruner P, Sorensen L, Pan PM, Silk TJ, Gur RC, Cubillo AI, Haavik J, O'Gorman Tuura RL, Hartman CA, Calvo R, McGrath J, Calderoni S, Jackowski A, Chantiluke KC, Satterthwaite TD, Busatto GF, Nigg JT, Gur RE, Retico A, Tosetti M, Gallagher L, Szeszko PR, Neufeld J, Ortiz AE, Ghisleni C, Lazaro L, Hoekstra PJ, Anagnostou E, Hoekstra L, Simpson B, Plessen JK, Deruelle C, Soreni N, James A, Narayanaswamy J, Reddy JY, Fitzgerald J, Bellgrove MA, Salum GA, Janssen J, Muratori F, Vila M, Giral MG, Ameis SH, Bosco P, Remnélius KL, Huyser C, Pariente JC, Jalbrzikowski M, Rosa PG, O'Hearn KM, Ehrlich S, Mollon J, Zugman A, Christakou A, Arango C, Fisher SE, Kong X, Franke B, Medland SE, Thomopoulos SI, Jahanshad N, Glahn DC, Thompson PM, Francks C, Luders E. Large-scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents. Hum Brain Mapp 2024; 45:e26754. [PMID: 39046031 PMCID: PMC11267452 DOI: 10.1002/hbm.26754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/29/2024] [Accepted: 05/23/2024] [Indexed: 07/25/2024] Open
Abstract
Only a small number of studies have assessed structural differences between the two hemispheres during childhood and adolescence. However, the existing findings lack consistency or are restricted to a particular brain region, a specific brain feature, or a relatively narrow age range. Here, we investigated associations between brain asymmetry and age as well as sex in one of the largest pediatric samples to date (n = 4265), aged 1-18 years, scanned at 69 sites participating in the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium. Our study revealed that significant brain asymmetries already exist in childhood, but their magnitude and direction depend on the brain region examined and the morphometric measurement used (cortical volume or thickness, regional surface area, or subcortical volume). With respect to effects of age, some asymmetries became weaker over time while others became stronger; sometimes they even reversed direction. With respect to sex differences, the total number of regions exhibiting significant asymmetries was larger in females than in males, while the total number of measurements indicating significant asymmetries was larger in males (as we obtained more than one measurement per cortical region). The magnitude of the significant asymmetries was also greater in males. However, effect sizes for both age effects and sex differences were small. Taken together, these findings suggest that cerebral asymmetries are an inherent organizational pattern of the brain that manifests early in life. Overall, brain asymmetry appears to be relatively stable throughout childhood and adolescence, with some differential effects in males and females.
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Affiliation(s)
- F. Kurth
- School of PsychologyUniversity of AucklandAucklandNew Zealand
- Institute of Diagnostic and Interventional Radiology, Jena University HospitalJenaGermany
| | - D. Schijven
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - O. A. van den Heuvel
- Department of PsychiatryAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - M. Hoogman
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - D. van Rooij
- Donders Institute for Brain, Cognition and Behavior, Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
| | - D. J. Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - J. K. Buitelaar
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboudumcNijmegenThe Netherlands
| | - S. Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's HealthKarolinska Institutet & Stockholm Health Care Services, Region StockholmStockholmSweden
- Curtin Autism Research Group, Curtin School of Allied HealthCurtin UniversityPerthAustralia
| | - G. Auzias
- Institut de neurosciences de la Timone UMR 7289, Aix‐Marseille Université & CNRSMarseilleFrance
| | - A. Kushki
- Holland Bloorview Kids Rehabilitation Hospital, Institute for Biomedical EngineeringUniversity of TorontoTorontoCanada
| | - G. Venkatasubramanian
- National Institute of Mental Health and Neuro Sciences (NIMHANS)BengaluruIndia
- Department of Psychiatry, Temerty Faculty of MedicineUniversity of TorontoTorontoCanada
| | - K. Rubia
- Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - S. Bollmann
- School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia
| | - J. Isaksson
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's HealthKarolinska Institutet & Stockholm Health Care Services, Region StockholmStockholmSweden
- Child and Adolescent Psychiatry Unit, Department of Medical SciencesUppsala UniversityUppsalaSweden
| | - F. Jaspers‐Fayer
- BC Children's Research Institute and the University of British ColumbiaVancouverCanada
| | - R. Marsh
- Department of PsychiatryColumbia University Irving Medical Center and the New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - M. C. Batistuzzo
- Department & Institute of PsychiatryUniversity of Sao Paulo, Medical SchoolSao PauloBrazil
- Department of Methods and Techniques in PsychologyPontifical Catholic UniversitySao PauloBrazil
| | - P. D. Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain InstituteUniversity of CalgaryCalgaryCanada
| | - R. A. Bressan
- Federal University of São PauloSão PauloBrazil
- Instituto Ame Sua MenteSão PauloBrazil
| | - S. E. Stewart
- British Columbia Children's Hospital, British Columbia Mental Health and Substance Use ServicesUniversity of British ColumbiaVancouverCanada
| | - P. Gruner
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - L. Sorensen
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - P. M. Pan
- Laboratório de Neurociências Integrativas (LINC), Departamento de PsiquiatriaUniversidade Federal de São Paulo (UNIFESP)São PauloBrazil
- Instituto Nacional de siquiatria do Desenvolvimento (INPD)São PauloBrazil
| | - T. J. Silk
- Centre for Social and Early Emotional Development and School of PsychologyDeakin UniversityGeelongAustralia
- Murdoch Children's Research InstituteMelbourneAustralia
| | - R. C. Gur
- Department of Psychiatry, Section on Neurodevelopment and Psychosis and the Lifespan Brain Institute, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - A. I. Cubillo
- Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - J. Haavik
- Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - R. L. O'Gorman Tuura
- Center for MR Research, University Children's Hospital ZurichUniversity of ZurichZurichSwitzerland
| | - C. A. Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - R. Calvo
- Department of Child and Adolescent Psychiatry and Psychology, Neuroscience InstituteHospital ClinicBarcelonaSpain
- School of MedicineUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM)BarcelonaSpain
- Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - J. McGrath
- Department of PsychiatryTrinity College DublinDublinIreland
| | - S. Calderoni
- IRCCS Stella Maris FoundationPisaItaly
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - A. Jackowski
- Department of PsychiatryUNIFESPSão PauloBrazil
- Department of EducationICT and Learning, Østfold University CollegeHaldenNorway
| | - K. C. Chantiluke
- Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - T. D. Satterthwaite
- Department of Psychiatry, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain InstituteUniversity of Pennsylvania & Children's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Center for Biomedical Image Computing and Analytics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - G. F. Busatto
- Department of Psychiatry, Faculty of MedicineUniversity of São PauloSão PauloBrazil
| | - J. T. Nigg
- Department of Psychiatry and Center for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - R. E. Gur
- Department of Psychiatry, The Penn‐CHOP Lifespan Brain InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - A. Retico
- Pisa DivisionNational Institute for Nuclear Physics (INFN)PisaItaly
| | | | - L. Gallagher
- Department of PsychiatryTrinity College DublinDublinIreland
- The Hospital for Sick childrenTorontoCanada
- The Centre for Addiction and Mental Health TorontoTorontoCanada
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - P. R. Szeszko
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Mental Illness Research, Education and Clinical Center (MIRECC)James J. Peters VA Medical CenterNew YorkNew YorkUSA
| | - J. Neufeld
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's HealthKarolinska Institutet & Stockholm Health Care Services, Region StockholmStockholmSweden
- Swedish Collegium for Advanced Study (SCAS)UppsalaSweden
| | - A. E. Ortiz
- Department of Child and Adolescent Psychiatry and Psychology, Neuroscience InstituteHospital ClinicBarcelonaSpain
- Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - C. Ghisleni
- Center for MR Research, University Children's Hospital ZurichUniversity of ZurichZurichSwitzerland
| | - L. Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Neuroscience InstituteHospital ClinicBarcelonaSpain
- School of MedicineUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM)BarcelonaSpain
- Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - P. J. Hoekstra
- Department of Child and Adolescent Psychiatry & Accare Child Study CenterUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - E. Anagnostou
- Holland Bloorview Kids Rehabilitation Hospital, Department of Pediatrics, Temetry School of MedicineUniversity of TorontoTorontoCanada
| | - L. Hoekstra
- Karakter University Center for Child and Adolescent PsychiatryNijmegenThe Netherlands
- Donders Center for Cognitive NeuroimagingNijmegenThe Netherlands
- Radboud University Medical CenterNijmegenThe Netherlands
| | - B. Simpson
- New York State Psychiatric Institute/CUIMCNew YorkNew YorkUSA
| | - J. K. Plessen
- Division of Child and Adolescent Psychiatry, Department of PsychiatryUniversity Hospital LausanneLausanneSwitzerland
| | - C. Deruelle
- Institut de neurosciences de la Timone UMR 7289, Aix‐Marseille Université & CNRSMarseilleFrance
| | - N. Soreni
- Pediatric OCD Consultation ClinicSJHHamiltonCanada
- Department of Psychiatry and Behavioral Neurosciences and Offord Child StudiesMcMaster UniversityHamiltonCanada
| | - A. James
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - J. Narayanaswamy
- National Institute of Mental Health and Neuro Sciences (NIMHANS)BengaluruIndia
| | - J. Y. Reddy
- National Institute of Mental Health and Neuro Sciences (NIMHANS)BengaluruIndia
| | | | - M. A. Bellgrove
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneAustralia
| | - G. A. Salum
- Graduate Program of Psychiatry and Behavioral SciencesUniversidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Child Mind InstituteNew YorkNew YorkUSA
| | - J. Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
| | | | - M. Vila
- Department of Child and Adolescent Psychiatry and Psychology, Neuroscience InstituteHospital ClinicBarcelonaSpain
| | - M. Garcia Giral
- Department of Child and Adolescent Psychiatry and Psychology, Neuroscience InstituteHospital ClinicBarcelonaSpain
| | - S. H. Ameis
- Campbell Family Mental Health Research InstituteCentre for Addiction and Mental HealthTorontoCanada
- Temerty Faculty of Medicine, Department of PsychiatryUniversity of TorontoTorontoCanada
| | - P. Bosco
- IRCCS Stella Maris FoundationPisaItaly
| | - K. Lundin Remnélius
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's HealthKarolinska Institutet & Stockholm Health Care Services, Region StockholmStockholmSweden
| | - C. Huyser
- Academic Center Child and Youth PsychiatryLevvelAmsterdamThe Netherlands
- Department of Child and Adolescent PsychiatryAmsterdamUMCAmsterdamThe Netherlands
| | - J. C. Pariente
- Magnetic Resonance Image Core FacilityInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - M. Jalbrzikowski
- Department of Psychiatry and Behavioral SciencesBoston Children's HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | - P. G. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de Sao PauloSao PauloBrazil
| | - K. M. O'Hearn
- Atrium Health Wake Forest Baptist Medical CenterWinston‐SalemNorth CarolinaUSA
| | - S. Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences & Department of Child and Adolescent PsychiatryFaculty of Medicine, TU DresdenDresdenGermany
| | - J. Mollon
- Boston Children's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - A. Zugman
- National Institutes of Health/National Institute of Mental HealthBethesdaMarylandUSA
| | - A. Christakou
- Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language SciencesUniversity of ReadingReadingUK
| | - C. Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of MedicineUniversidad Complutense, CIBERSAMMadridSpain
| | - S. E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - X. Kong
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouChina
- Department of Psychiatry of Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhouChina
| | - B. Franke
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - S. E. Medland
- QIMR Berghofer Medical Research InstituteHerstonAustralia
| | - S. I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - N. Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - D. C. Glahn
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's HospitalBostonMassachusettsUSA
| | - P. M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - C. Francks
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - E. Luders
- School of PsychologyUniversity of AucklandAucklandNew Zealand
- Swedish Collegium for Advanced Study (SCAS)UppsalaSweden
- Department of Women's and Children's HealthUppsala UniversityUppsalaSweden
- Laboratory of Neuro Imaging, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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11
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Wu Y, Vasung L, Calixto C, Gholipour A, Karimi D. Characterizing normal perinatal development of the human brain structural connectivity. Hum Brain Mapp 2024; 45:e26784. [PMID: 39031955 PMCID: PMC11259574 DOI: 10.1002/hbm.26784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 06/17/2024] [Accepted: 07/01/2024] [Indexed: 07/22/2024] Open
Abstract
Early brain development is characterized by the formation of a highly organized structural connectome, which underlies brain's cognitive abilities and influences its response to diseases and environmental factors. Hence, quantitative assessment of structural connectivity in the perinatal stage is useful for studying normal and abnormal neurodevelopment. However, estimation of the connectome from diffusion MRI data involves complex computations. For the perinatal period, these computations are further challenged by the rapid brain development, inherently low signal quality, imaging difficulties, and high inter-subject variability. These factors make it difficult to chart the normal development of the structural connectome. As a result, there is a lack of reliable normative baselines of structural connectivity metrics at this critical stage in brain development. In this study, we developed a computational method based on spatio-temporal averaging in the image space for determining such baselines. We used this method to analyze the structural connectivity between 33 and 44 postmenstrual weeks using data from 166 subjects. Our results unveiled clear and strong trends in the development of structural connectivity in the perinatal stage. We observed increases in measures of network integration and segregation, and widespread strengthening of the connections within and across brain lobes and hemispheres. We also observed asymmetry patterns that were consistent between different connection weighting approaches. Connection weighting based on fractional anisotropy and neurite density produced the most consistent results. Our proposed method also showed considerable agreement with an alternative technique based on connectome averaging. The new computational method and results of this study can be useful for assessing normal and abnormal development of the structural connectome early in life.
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Affiliation(s)
- Yihan Wu
- Computational Radiology Laboratory (CRL), Department of RadiologyBoston Children's Hospital, and Harvard Medical SchoolBostonMassachusettsUSA
| | - Lana Vasung
- Department of Pediatrics at Boston Children's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Camilo Calixto
- Computational Radiology Laboratory (CRL), Department of RadiologyBoston Children's Hospital, and Harvard Medical SchoolBostonMassachusettsUSA
| | - Ali Gholipour
- Computational Radiology Laboratory (CRL), Department of RadiologyBoston Children's Hospital, and Harvard Medical SchoolBostonMassachusettsUSA
| | - Davood Karimi
- Computational Radiology Laboratory (CRL), Department of RadiologyBoston Children's Hospital, and Harvard Medical SchoolBostonMassachusettsUSA
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12
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Zhang Y, Lu H, Ren X, Zhang J, Wang Y, Zhang C, Zhao X. Immediate and long-term brain activation of acupuncture on ischemic stroke patients: an ALE meta-analysis of fMRI studies. Front Neurosci 2024; 18:1392002. [PMID: 39099634 PMCID: PMC11294246 DOI: 10.3389/fnins.2024.1392002] [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: 04/23/2024] [Accepted: 07/11/2024] [Indexed: 08/06/2024] Open
Abstract
Background Acupuncture, as an alternative and complementary therapy recommended by the World Health Organization for stroke treatment, holds potential in ameliorating neurofunctional deficits induced by ischemic stroke (IS). Understanding the immediate and long-term effects of acupuncture and their interrelation would contribute to a better comprehension of the mechanisms underlying acupuncture efficacy. Methods Activation likelihood estimation (ALE) meta-analysis was used to analyze the brain activation patterns reported in 21 relevant functional neuroimaging studies. Among these studies, 12 focused on the immediate brain activation and 9 on the long-term activation. Single dataset analysis were employed to identify both immediate and long-term brain activation of acupuncture treatment in IS patients, while contrast and conjunction analysis were utilized to explore distinctions and connections between the two. Results According to the ALE analysis, immediately after acupuncture treatment, IS patients exhibited an enhanced cluster centered around the right precuneus (PCUN) and a reduced cluster centered on the left middle frontal gyrus (MFG). After long-term acupuncture treatment, IS patients showed an enhanced cluster in the left PCUN, along with two reduced clusters in the right insula (INS) and hippocampus (HIP), respectively. Additionally, in comparison to long-term acupuncture treatment, the right angular gyrus (ANG) demonstrated higher ALE scores immediately after acupuncture, whereas long-term acupuncture resulted in higher scores in the left superior parietal gyrus (SPG). The intersecting cluster activated by both of them was located in the left cuneus (CUN). Conclusion The findings provide initial insights into both the immediate and long-term brain activation patterns of acupuncture treatment for IS, as well as the intricate interplay between them. Both immediate and long-term acupuncture treatments showed distinct patterns of brain activation, with the left CUN emerging as a crucial regulatory region in their association. Systematic Review Registration https://www.crd.york.ac.uk/prospero/, CRD42023480834.
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Affiliation(s)
- Yuan Zhang
- Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Hai Lu
- Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xuesong Ren
- Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Junfeng Zhang
- Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Yu Wang
- Department of Rehabilitation, Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Chunhong Zhang
- Department of Acupuncture and Moxibustion, Baoan Pure Traditional Chinese Medicine Treatment Hospital, Shenzhen, China
| | - Xiaofeng Zhao
- Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
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13
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Chen R, Zhao R, Li H, Xu X, Li M, Zhao Z, Sun C, Wang G, Wu D. Development of the Fetal Brain Corticocortical Structural Network during the Second-to-Third Trimester Based on Diffusion MRI. J Neurosci 2024; 44:e1567232024. [PMID: 38844343 PMCID: PMC11255424 DOI: 10.1523/jneurosci.1567-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 05/08/2024] [Accepted: 05/31/2024] [Indexed: 07/19/2024] Open
Abstract
During the second-to-third trimester, the neuronal pathways of the fetal brain experience rapid development, resulting in the complex architecture of the interwired network at birth. While diffusion MRI-based tractography has been employed to study the prenatal development of structural connectivity network (SCN) in preterm neonatal and postmortem fetal brains, the in utero development of SCN in the normal fetal brain remains largely unknown. In this study, we utilized in utero dMRI data from human fetuses of both sexes between 26 and 38 gestational weeks to investigate the developmental trajectories of the fetal brain SCN, focusing on intrahemispheric connections. Our analysis revealed significant increases in global efficiency, mean local efficiency, and clustering coefficient, along with significant decrease in shortest path length, while small-worldness persisted during the studied period, revealing balanced network integration and segregation. Widespread short-ranged connectivity strengthened significantly. The nodal strength developed in a posterior-to-anterior and medial-to-lateral order, reflecting a spatiotemporal gradient in cortical network connectivity development. Moreover, we observed distinct lateralization patterns in the fetal brain SCN. Globally, there was a leftward lateralization in network efficiency, clustering coefficient, and small-worldness. The regional lateralization patterns in most language, motor, and visual-related areas were consistent with prior knowledge, except for Wernicke's area, indicating lateralized brain wiring is an innate property of the human brain starting from the fetal period. Our findings provided a comprehensive view of the development of the fetal brain SCN and its lateralization, as a normative template that may be used to characterize atypical development.
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Affiliation(s)
- Ruike Chen
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Ruoke Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Haotian Li
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Xinyi Xu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Mingyang Li
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
| | - Cong Sun
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P. R. China
| | - Guangbin Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, P. R. China
| | - Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, P. R. China
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14
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Vingerhoets G, Gerrits R, Karlsson EM. Brain (Yakovlevian) torque direction is associated with volume asymmetry of the intracranial transverse sinuses: evidence from situs inversus totalis. Brain Struct Funct 2024; 229:1461-1470. [PMID: 38811411 DOI: 10.1007/s00429-024-02810-7] [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: 03/07/2024] [Accepted: 05/17/2024] [Indexed: 05/31/2024]
Abstract
Previous research reported reversal of the prototypical brain torque in individuals with mirrored visceral topology (situs inversus totalis, SIT). Here, we investigate if typical asymmetry of the posterior intracranial venous system is also reversed in SIT and whether the direction and magnitude of this asymmetry is related to the direction and magnitude of the brain torque. Brain structural MRI images of 38 participants with SIT were compared with those of 38 matched control participants. Occipital and frontal petalia and bending were measured using a standardized procedure. In addition, representative sections of the left and right transverse sinuses were segmented, and their respective volumes determined. Participants with SIT showed general reversal of occipital and frontal petalia and occipital bending, as well as reversal of typical transverse sinus asymmetry. Transverse sinus volume was significantly correlated with several torque measures, such that the smaller transverse sinus was associated with a larger ipsilateral occipital petalia, contralateral occipital bending, and ipsilateral frontal bending. We propose an anatomical mechanism to explain occipital petalia and bending, and conclude that anatomical constraints imposed by the asymmetry of the posterior venous system provide and additional account to elucidate the formation of the human brain torque.
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Affiliation(s)
- Guy Vingerhoets
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
- Ghent Institute for Metabolic and Functional Imaging (GIfMI), Ghent University, Ghent, Belgium.
| | - Robin Gerrits
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
- Ghent Institute for Metabolic and Functional Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Emma M Karlsson
- Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium
- Ghent Institute for Metabolic and Functional Imaging (GIfMI), Ghent University, Ghent, Belgium
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15
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Fırat Z, Er F, Noyan H, Ekinci G, Üçok A, Uluğ AM, Aktekin B. Discriminant analysis using MRI asymmetry indices and cognitive scores of women with temporal lobe epilepsy or schizophrenia. Neuroradiology 2024; 66:1083-1092. [PMID: 38416211 DOI: 10.1007/s00234-024-03317-y] [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: 08/16/2023] [Accepted: 02/20/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE This study aims to assess the diagnostic power of brain asymmetry indices and neuropsychological tests for differentiating mesial temporal lobe epilepsy (MTLE) and schizophrenia (SCZ). METHODS We studied a total of 39 women including 13 MTLE, 13 SCZ, and 13 healthy individuals (HC). A neuropsychological test battery (NPT) was administered and scored by an experienced neuropsychologist, and NeuroQuant (CorTechs Labs Inc., San Diego, California) software was used to calculate brain asymmetry indices (ASI) for 71 different anatomical regions of all participants based on their 3D T1 MR imaging scans. RESULTS Asymmetry indices measured from 10 regions showed statistically significant differences between the three groups. In this study, a multi-class linear discriminant analysis (LDA) model was built based on a total of fifteen variables composed of the most five significantly informative NPT scores and ten significant asymmetry indices, and the model achieved an accuracy of 87.2%. In pairwise classification, the accuracy for distinguishing MTLE from either SCZ or HC was 94.8%, while the accuracy for distinguishing SCZ from either MTLE or HC was 92.3%. CONCLUSION The ability to differentiate MTLE from SCZ using neuroradiological and neuropsychological biomarkers, even within a limited patient cohort, could make a substantial contribution to research in larger patient groups using different machine learning techniques.
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Affiliation(s)
- Zeynep Fırat
- Department of Radiology, Yeditepe University Hospitals, Kosuyolu, 34718, Istanbul, Turkey.
| | - Füsun Er
- Department of Information Systems Engineering, Piri Reis University, Istanbul, Turkey
| | - Handan Noyan
- Faculty of Social Sciences, Department of Psychology, Beykoz University, 34810, Istanbul, Turkey
| | - Gazanfer Ekinci
- Department of Radiology, Yeditepe University Hospitals, Kosuyolu, 34718, Istanbul, Turkey
| | - Alp Üçok
- Istanbul Faculty of Medicine, Department of Psychiatry, Istanbul University, 34134, Istanbul, Turkey
| | - Aziz M Uluğ
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
- CorTechs Labs Inc, San Diego, CA, USA
| | - Berrin Aktekin
- Department of Neurology, Yeditepe University Hospitals, Kosuyolu, 34718, Istanbul, Turkey
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16
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Osawa SI, Suzuki K, Ukishiro K, Kakinuma K, Ishida M, Niizuma K, Shimoda Y, Kikuchi H, Kochi R, Jin K, Matsumoto Y, Uematsu M, Nakasato N, Endo H, Tominaga T. Super-selective injection of propofol into the intracranial arteries enables Patient's self-evaluation of expected neurological deficit. Cortex 2024; 176:209-220. [PMID: 38805783 DOI: 10.1016/j.cortex.2024.04.016] [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: 01/22/2024] [Revised: 03/23/2024] [Accepted: 04/19/2024] [Indexed: 05/30/2024]
Abstract
INTRODUCTION It is hard to realize the extent of the expected postoperative neurological deficit for patients themselves. The provision of appropriate information can contribute not only to examining surgical indications but also to filling the gap between patient and expert expectations. We hypothesized that propofol infusion into the intracranial arteries (ssWada) could induce focal neurological symptoms with preserved wakefulness, enabling the patients to evaluate the postsurgical risk subjectively. METHODS Presurgical evaluation using ssWada was performed in 28 patients with drug-resistant epilepsy. Based on anatomical knowledge, propofol was super-selectively infused into the intracranial arteries including the M1, M2, and M3 segments of the middle cerebral artery (MCA), A2 segment of the anterior cerebral artery, and P2 segment of the posterior cerebral artery to evaluate the neurological and cognitive symptoms. We retrospectively analyzed a total of 107 infusion trials, including their target vessels, and elicited symptoms of motor weakness, sensory disturbance, language, unilateral hemispatial neglect (UHN), and hemianopsia. We evaluated preserved wakefulness which enabled subjective evaluations of the symptoms and comparison of the subjective experience to the objective findings, besides adverse effects during the procedure. RESULTS Preserved wakefulness was found in 97.2% of all trials. Changes in neurological symptoms were positively evaluated for motor weakness in 51.4%, sensory disturbance in 5.6%, language in 48.6%, UHN in 22.4%, and hemianopsia in 32.7%. Six trials elicited seizures. Multivariate analysis showed significant correlations between symptom and infusion site of language and left side, language and MCA branches, motor weakness and A2 or M2 superior division, and hemianopsia and P2. Transient adverse effect was observed in 8 cases with 12 infusion trials (11.2 %). CONCLUSION The ssWada could elicit focal neurological symptoms with preserved wakefulness. The methodology enables specific evaluation of risk for cortical resection and subjective evaluation of the expected outcome by the patients.
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Affiliation(s)
- Shin-Ichiro Osawa
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
| | - Kyoko Suzuki
- Department of Behavioral and Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kazushi Ukishiro
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kazuo Kakinuma
- Department of Behavioral and Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Makoto Ishida
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kuniyasu Niizuma
- Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan; Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Miyagi, Japan
| | - Yoshiteru Shimoda
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hana Kikuchi
- Department of Behavioral and Cognitive Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Ryuzaburo Kochi
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kazutaka Jin
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yasushi Matsumoto
- Division of Development and Discovery of Interventional Therapy, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Mitsugu Uematsu
- Department of Pediatrics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Nobukazu Nakasato
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hidenori Endo
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
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17
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Eun J, Park IS. Early Detection of hyperemia with Magnetic Resonance Fluid Attenuation Inversion Recovery Imaging after Superficial Temporal Artery to Middle Cerebral Artery Anastomosis. J Korean Neurosurg Soc 2024; 67:442-450. [PMID: 37984963 PMCID: PMC11220419 DOI: 10.3340/jkns.2023.0183] [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: 08/29/2023] [Revised: 11/09/2023] [Accepted: 11/20/2023] [Indexed: 11/22/2023] Open
Abstract
OBJECTIVE Cerebral hyperperfusion syndrome (CHS) manifests as a collection of symptoms brought on by heightened focal cerebral blood flow (CBF), afflicting nearly 30% of patients who have undergone superficial temporal artery (STA)-middle cerebral artery (MCA) anastomosis. The aim of this study was to investigate whether the amalgamation of magnetic resonance imaging (MRI) fluid-attenuated inversion recovery (FLAIR) and apparent diffusion coefficient (ADC) imaging via MRI can discern cerebral hyperemia after STA-MCA anastomosis surgery. METHODS A retrospective study was performed of patients who underwent STA-MCA anastomosis due to Moyamoya disease or atherosclerotic steno-occlusive disease. A protocol aimed at preventing CHS was instituted, leveraging the use of MRI FLAIR. Patients underwent MRI diffusion with FLAIR imaging 24 hours after STA-MCA anastomosis. A high signal on FLAIR images signified the presence of hyperemia at the bypass site, triggering a protocol of hyperemia care. All patients underwent hemodynamic evaluations, including perfusion MRI, single-photon emission computed tomography (SPECT), and digital subtraction angiography, both before and after the surgery. If a high signal intensity is observed on MRI FLAIR within 24 hours of the surgery, a repeat MRI is performed to confirm the presence of hyperemia. Patients with confirmed hyperemia are managed according to a protocol aimed at preventing further progression. RESULTS Out of a total of 162 patients, 24 individuals (comprising 16 women and 8 men) exhibited hyperemia on their MRI FLAIR scans following the procedure. SPECT was conducted on 23 patients, and 11 of them yielded positive results. All 24 patients underwent perfusion MRI, but nine of them showed no significant findings. Among the patients, 10 displayed elevations in both CBF and cerebral blood volume (CBV), three only showed elevation in CBF, and two only showed elevation in CBV. Follow-up MRI FLAIR scans conducted 6 months later on these patients revealed complete normalization of the previously observed high signal intensity, with no evidence of ischemic injury. CONCLUSION The study determined that the use of MRI FLAIR and ADC mapping is a competent means of early detection of hyperemia after STA-MCA anastomosis surgery. The protocol established can be adopted by other neurosurgical institutions to enhance patient outcomes and mitigate the hazard of permanent cerebral injury caused by cerebral hyperemia.
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Affiliation(s)
- Jin Eun
- Department of Neurosurgery, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ik Seong Park
- Department of Neurosurgery, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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18
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Li X, Chen B. Dynamics of multicellular swirling on micropatterned substrates. Proc Natl Acad Sci U S A 2024; 121:e2400804121. [PMID: 38900800 PMCID: PMC11214149 DOI: 10.1073/pnas.2400804121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 05/24/2024] [Indexed: 06/22/2024] Open
Abstract
Chirality plays a crucial role in biology, as it is highly conserved and fundamentally important in the developmental process. To better understand the relationship between the chirality of individual cells and that of tissues and organisms, we develop a generalized mechanics model of chiral polarized particles to investigate the swirling dynamics of cell populations on substrates. Our analysis reveals that cells with the same chirality can form distinct chiral patterns on ring-shaped or rectangular substrates. Interestingly, our studies indicate that an excessively strong or weak individual cellular chirality hinders the formation of such chiral patterns. Our studies also indicate that there exists the influence distance of substrate boundaries in chiral patterns. Smaller influence distances are observed when cell-cell interactions are weaker. Conversely, when cell-cell interactions are too strong, multiple cells tend to be stacked together, preventing the formation of chiral patterns on substrates in our analysis. Additionally, we demonstrate that the interaction between cells and substrate boundaries effectively controls the chiral distribution of cellular orientations on ring-shaped substrates. This research highlights the significance of coordinating boundary features, individual cellular chirality, and cell-cell interactions in governing the chiral movement of cell populations and provides valuable mechanics insights into comprehending the intricate connection between the chirality of single cells and that of tissues and organisms.
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Affiliation(s)
- Xi Li
- Department of Engineering Mechanics, Zhejiang University, Hangzhou310027, People’s Republic of China
| | - Bin Chen
- Department of Engineering Mechanics, Zhejiang University, Hangzhou310027, People’s Republic of China
- Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, People’s Republic of China
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19
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Mızrak HG, Dikmen M, Hanoğlu L, Şakul BU. Investigation of hemispheric asymmetry in Alzheimer's disease patients during resting state revealed BY fNIRS. Sci Rep 2024; 14:13454. [PMID: 38862632 PMCID: PMC11166983 DOI: 10.1038/s41598-024-62281-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 05/15/2024] [Indexed: 06/13/2024] Open
Abstract
Alzheimer's disease (AD) is characterized by the gradual deterioration of brain structures and changes in hemispheric asymmetry. Meanwhile, healthy aging is associated with a decrease in functional hemispheric asymmetry. In this study, functional connectivity analysis was used to compare the functional hemispheric asymmetry in eyes-open resting-state fNIRS data of 16 healthy elderly controls (mean age: 60.4 years, MMSE (Mini-Mental State Examination): 27.3 ± 2.52) and 14 Alzheimer's patients (mean age: 73.8 years, MMSE: 22 ± 4.32). Increased interhemispheric functional connectivity was found in the premotor cortex, supplementary motor cortex, primary motor cortex, inferior parietal cortex, primary somatosensory cortex, and supramarginal gyrus in the control group compared to the AD group. The study revealed that the control group had stronger interhemispheric connectivity, leading to a more significant decrease in hemispheric asymmetry than the AD group. The results show that there is a difference in interhemispheric functional connections at rest between the Alzheimer's group and the control group, suggesting that functional hemispheric asymmetry continues in Alzheimer's patients.
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Affiliation(s)
- Hazel Gül Mızrak
- Department of Anatomy, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Merve Dikmen
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey.
- Program of Electroneurophysiology, Vocational School of Health Services, Istanbul Medipol University, Istanbul, Turkey.
| | - Lütfü Hanoğlu
- Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey
- Department of Neurology, Istanbul Medipol University Training and Research Hospital, Istanbul, Turkey
| | - Bayram Ufuk Şakul
- Department of Anatomy, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
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20
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He Q, Yang Z, Xue B, Song X, Zhang C, Yin C, Li Z, Deng Z, Sun S, Qiao H, Xie J, Hou Z. Epilepsy alters brain networks in patients with insular glioma. CNS Neurosci Ther 2024; 30:e14805. [PMID: 38887197 PMCID: PMC11183176 DOI: 10.1111/cns.14805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/13/2024] [Accepted: 05/30/2024] [Indexed: 06/20/2024] Open
Abstract
AIMS We intend to elucidate the alterations of cerebral networks in patients with insular glioma-related epilepsy (GRE) based on resting-state functional magnetic resonance images. METHODS We collected 62 insular glioma patients, who were subsequently categorized into glioma-related epilepsy (GRE) and glioma with no epilepsy (GnE) groups, and recruited 16 healthy individuals matched to the patient's age and gender to form the healthy control (HC) group. Graph theoretical analysis was applied to reveal differences in sensorimotor, default mode, visual, and executive networks among different subgroups. RESULTS No significant alterations in functional connectivity were found in either hemisphere insular glioma. Using graph theoretical analysis, differences were found in visual, sensorimotor, and default mode networks (p < 0.05). When the glioma located in the left hemisphere, the degree centrality was reduced in the GE group compared to the GnE group. When the glioma located in the right insula, the degree centrality, nodal efficiency, nodal local efficiency, and nodal clustering coefficient of the GE group were lower than those of the GnE group. CONCLUSION The impact of insular glioma itself and GRE on the brain network is widespread. The networks altered by insular GRE differ depending on the hemisphere location. GRE reduces the nodal properties of brain networks than that in insular glioma.
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Affiliation(s)
- Qifeng He
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zuocheng Yang
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - BoWen Xue
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xinyu Song
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Chuanhao Zhang
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - ChuanDong Yin
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zhenye Li
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zhenghai Deng
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Shengjun Sun
- Department of Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Department of Radiology, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Hui Qiao
- Department of Neurophysiology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
| | - Jian Xie
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Zonggang Hou
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
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21
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Radunsky D, Solomon C, Stern N, Blumenfeld-Katzir T, Filo S, Mezer A, Karsa A, Shmueli K, Soustelle L, Duhamel G, Girard OM, Kepler G, Shrot S, Hoffmann C, Ben-Eliezer N. A comprehensive protocol for quantitative magnetic resonance imaging of the brain at 3 Tesla. PLoS One 2024; 19:e0297244. [PMID: 38820354 PMCID: PMC11142522 DOI: 10.1371/journal.pone.0297244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 01/01/2024] [Indexed: 06/02/2024] Open
Abstract
Quantitative MRI (qMRI) has been shown to be clinically useful for numerous applications in the brain and body. The development of rapid, accurate, and reproducible qMRI techniques offers access to new multiparametric data, which can provide a comprehensive view of tissue pathology. This work introduces a multiparametric qMRI protocol along with full postprocessing pipelines, optimized for brain imaging at 3 Tesla and using state-of-the-art qMRI tools. The total scan time is under 50 minutes and includes eight pulse-sequences, which produce range of quantitative maps including T1, T2, and T2* relaxation times, magnetic susceptibility, water and macromolecular tissue fractions, mean diffusivity and fractional anisotropy, magnetization transfer ratio (MTR), and inhomogeneous MTR. Practical tips and limitations of using the protocol are also provided and discussed. Application of the protocol is presented on a cohort of 28 healthy volunteers and 12 brain regions-of-interest (ROIs). Quantitative values agreed with previously reported values. Statistical analysis revealed low variability of qMRI parameters across subjects, which, compared to intra-ROI variability, was x4.1 ± 0.9 times higher on average. Significant and positive linear relationship was found between right and left hemispheres' values for all parameters and ROIs with Pearson correlation coefficients of r>0.89 (P<0.001), and mean slope of 0.95 ± 0.04. Finally, scan-rescan stability demonstrated high reproducibility of the measured parameters across ROIs and volunteers, with close-to-zero mean difference and without correlation between the mean and difference values (across map types, mean P value was 0.48 ± 0.27). The entire quantitative data and postprocessing scripts described in the manuscript are publicly available under dedicated GitHub and Figshare repositories. The quantitative maps produced by the presented protocol can promote longitudinal and multi-center studies, and improve the biological interpretability of qMRI by integrating multiple metrics that can reveal information, which is not apparent when examined using only a single contrast mechanism.
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Affiliation(s)
- Dvir Radunsky
- Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel
| | - Chen Solomon
- Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel
| | - Neta Stern
- Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel
| | | | - Shir Filo
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Aviv Mezer
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anita Karsa
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Karin Shmueli
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | | | | | | | - Gal Kepler
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Shai Shrot
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel
| | - Chen Hoffmann
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel
| | - Noam Ben-Eliezer
- Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States of America
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22
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Yang X, Liu N, Sun H, Li X, Li H, Gong Q, Lui S. Sex-related cortical asymmetry in antipsychotic-naïve first-episode schizophrenia. Cereb Cortex 2024; 34:bhae173. [PMID: 38706137 DOI: 10.1093/cercor/bhae173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 05/07/2024] Open
Abstract
Schizophrenia has been considered to exhibit sex-related clinical differences that might be associated with distinctly abnormal brain asymmetries between sexes. One hundred and thirty-two antipsychotic-naïve first-episode patients with schizophrenia and 150 healthy participants were recruited in this study to investigate whether cortical asymmetry would exhibit sex-related abnormalities in schizophrenia. After a 1-yr follow-up, patients were rescanned to obtain the effect of antipsychotic treatment on cortical asymmetry. Male patients were found to show increased lateralization index while female patients were found to exhibit decreased lateralization index in widespread regions when compared with healthy participants of the corresponding sex. Specifically, the cortical asymmetry of male and female patients showed contrary trends in the cingulate, orbitofrontal, parietal, temporal, occipital, and insular cortices. This result suggested male patients showed a leftward shift of asymmetry while female patients showed a rightward shift of asymmetry in these above regions that related to language, vision, emotion, and cognition. Notably, abnormal lateralization indices remained stable after antipsychotic treatment. The contrary trends in asymmetry between female and male patients with schizophrenia together with the persistent abnormalities after antipsychotic treatment suggested the altered brain asymmetries in schizophrenia might be sex-related disturbances, intrinsic, and resistant to the effect of antipsychotic therapy.
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Affiliation(s)
- Xiyue Yang
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
| | - Naici Liu
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
| | - Hui Sun
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
| | - Xing Li
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
| | - Hongwei Li
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, No. 190 Jiannan Road East, Youxian District, Mianyang, Sichuan Province 621000, China
| | - Qiyong Gong
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, 699 Jinyuan Xi Road, Jimei District, Xiamen, Fujian 361021, China
| | - Su Lui
- Department of Radiology and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Huaxi MR Research Center, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guoxue Xiang, Wuhou District, Chengdu, Sichuan Province 610041, China
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23
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Vallejo-Azar MN, Arenaza B, Elizalde Acevedo B, Alba-Ferrara L, Samengo I, Bendersky M, Gonzalez PN. Hemispheric asymmetries in cortical grey matter of gyri and sulci in modern human populations from South America. J Anat 2024; 244:815-830. [PMID: 38183319 PMCID: PMC11021627 DOI: 10.1111/joa.14001] [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: 09/16/2021] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024] Open
Abstract
Structural asymmetries of brain regions associated with lateralised functions have been extensively studied. However, there are fewer morphometric analyses of asymmetries of the gyri and sulci of the entire cortex. The current study assessed cortical asymmetries in a sample of healthy adults (N = 175) from an admixed population from South America. Grey matter volume and surface area of 66 gyri and sulci were quantified on T1 magnetic resonance images. The departure from zero of the differences between left and right hemispheres (L-R), a measure of directional asymmetry (DA), the variance of L-R, and an index of fluctuating asymmetry (FA) were evaluated for each region. Significant departures from perfect symmetry were found for most cortical gyri and sulci. Regions showed leftward asymmetry at the population level in the frontal lobe and superior lateral parts of the parietal lobe. Rightward asymmetry was found in the inferior parietal, occipital, frontopolar, and orbital regions, and the cingulate (anterior, middle, and posterior-ventral). Despite this general pattern, several sulci showed the opposite DA compared to the neighbouring gyri, which remarks the need to consider the neurobiological differences in gyral and sulcal development in the study of structural asymmetries. The results also confirm the absence of DA in most parts of the inferior frontal gyrus and the precentral region. This study contributes with data on populations underrepresented in the databases used in neurosciences. Among its findings, there is agreement with previous results obtained in populations of different ancestry and some discrepancies in the middle frontal and medial parietal regions. A significant DA not reported previously was found for the volume of long and short insular gyri and the central sulcus of the insula, frontomarginal, transverse frontopolar, paracentral, and middle and posterior parts of the cingulate gyrus and sulcus, gyrus rectus, occipital pole, and olfactory sulcus, as well as for the volume and area of the transverse collateral sulcus and suborbital sulcus. Also, several parcels displayed significant variability in the left-right differences, which can be partially attributable to developmental instability, a source of FA. Moreover, a few gyri and sulci displayed ideal FA with non-significant departures from perfect symmetry, such as subcentral and posterior cingulate gyri and sulci, inferior frontal and fusiform gyri, and the calcarine, transverse collateral, precentral, and orbital sulci. Overall, these results show that asymmetries are ubiquitous in the cerebral cortex.
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Affiliation(s)
- Mariana N Vallejo-Azar
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
| | - Bautista Arenaza
- Department of Medical Physics and Instituto Balseiro, Centro Atómico Bariloche, CONICET, Bariloche, Argentina
| | - Bautista Elizalde Acevedo
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
- Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Bariloche, Argentina
| | - Lucía Alba-Ferrara
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
| | - Inés Samengo
- Department of Medical Physics and Instituto Balseiro, Centro Atómico Bariloche, CONICET, Bariloche, Argentina
| | - Mariana Bendersky
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
- Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Paula N Gonzalez
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
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24
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Eichner C, Berger P, Klein CC, Friederici AD. Lateralization of dorsal fiber tract targeting Broca's area concurs with language skills during development. Prog Neurobiol 2024; 236:102602. [PMID: 38582324 DOI: 10.1016/j.pneurobio.2024.102602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/26/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024]
Abstract
Language is bounded to the left hemisphere in the adult brain and the functional lateralization can already be observed early during development. Here we investigate whether this is paralleled by a lateralization of the white matter structural language network. We analyze the strength and microstructural properties of language-related fiber tracts connecting temporal and frontal cortices with a separation of two dorsal tracts, one targeting the posterior Broca's area (BA44) and one targeting the precentral gyrus (BA6). In a large sample of young children (3-6 years), we demonstrate that, in contrast to the BA6-targeting tract, the microstructural asymmetry of the BA44-targeting fiber tract significantly correlates locally with different aspects of development. While the asymmetry in its anterior segment reflects age, the asymmetry in its posterior segment is associated with the children's language skills. These findings demonstrate a fine-grained structure-to-function mapping in the lateralized network and go beyond our current view of language-related human brain maturation.
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Affiliation(s)
- Cornelius Eichner
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
| | - Philipp Berger
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany; Research Group Milestones of Early Cognitive Development, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
| | - Cheslie C Klein
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany; Research Group Milestones of Early Cognitive Development, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
| | - Angela D Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.
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25
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Wang G, Jiang N, Ma Y, Suo D, Liu T, Funahashi S, Yan T. Using a deep generation network reveals neuroanatomical specificity in hemispheres. PATTERNS (NEW YORK, N.Y.) 2024; 5:100930. [PMID: 38645770 PMCID: PMC11026975 DOI: 10.1016/j.patter.2024.100930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/08/2024] [Accepted: 01/15/2024] [Indexed: 04/23/2024]
Abstract
Asymmetry is an important property of brain organization, but its nature is still poorly understood. Capturing the neuroanatomical components specific to each hemisphere facilitates the understanding of the establishment of brain asymmetry. Since deep generative networks (DGNs) have powerful inference and recovery capabilities, we use one hemisphere to predict the opposite hemisphere by training the DGNs, which automatically fit the built-in dependencies between the left and right hemispheres. After training, the reconstructed images approximate the homologous components in the hemisphere. We use the difference between the actual and reconstructed hemispheres to measure hemisphere-specific components due to asymmetric expression of environmental and genetic factors. The results show that our model is biologically plausible and that our proposed metric of hemispheric specialization is reliable, representing a wide range of individual variation. Together, this work provides promising tools for exploring brain asymmetry and new insights into self-supervised DGNs for representing the brain.
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Affiliation(s)
- Gongshu Wang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Ning Jiang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yunxiao Ma
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Dingjie Suo
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Tiantian Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Shintaro Funahashi
- Advanced Research Institute for Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- Department of Cognitive and Behavioral Sciences, Graduate School of Human and Environmental Science, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
- Kokoro Research Center, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
| | - Tianyi Yan
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
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26
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Tavitian A, Somech J, Chamlian B, Liberman A, Galindez C, Schipper HM. Craniofacial anomalies in schizophrenia-relevant GFAP.HMOX1 0-12m mice. Anat Rec (Hoboken) 2024. [PMID: 38606671 DOI: 10.1002/ar.25449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/29/2024] [Accepted: 03/25/2024] [Indexed: 04/13/2024]
Abstract
Subtle craniofacial dysmorphology has been reported in schizophrenia patients. This dysmorphology includes midline facial elongation, frontonasal anomalies and a sexually dimorphic deviation from normal directional asymmetry of the face, with male patients showing reduced and female patients showing enhanced facial asymmetry relative to healthy control subjects. GFAP.HMOX10-12m transgenic mice (Mus musculus) that overexpress heme oxygenase-1 in astrocytes recapitulate many schizophrenia-relevant neurochemical, neuropathological and behavioral features. As morphogenesis of the brain, skull and face are highly interrelated, we hypothesized that GFAP.HMOX10-12m mice may exhibit craniofacial anomalies similar to those reported in persons with schizophrenia. We examined craniofacial anatomy in male GFAP.HMOX10-12m mice and wild-type control mice at the early adulthood age of 6-8 months. We used computer vision techniques for the extraction and analysis of mouse head shape parameters from systematically acquired 2D digital images, and confirmed our results with landmark-based geometric morphometrics. We performed skull bone morphometry using digital calipers to take linear distance measurements between known landmarks. Relative to controls, adult male GFAP.HMOX10-12m mice manifested craniofacial dysmorphology including elongation of the nasal bones, alteration of head shape anisotropy and reduction of directional asymmetry in facial shape features. These findings demonstrate that GFAP.HMOX10-12m mice exhibit craniofacial anomalies resembling those described in schizophrenia patients, implicating heme oxygenase-1 in their development. As a preclinical mouse model, GFAP.HMOX10-12m mice provide a novel opportunity for the study of the etiopathogenesis of craniofacial and other anomalies in schizophrenia and related disorders.
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Affiliation(s)
- Ayda Tavitian
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Joseph Somech
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Badrouyk Chamlian
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Adrienne Liberman
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Carmela Galindez
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Hyman M Schipper
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
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27
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Ortug A, Guo Y, Feldman HA, Ou Y, Warren JLA, Dieuveuil H, Baumer NT, Faja SK, Takahashi E. Autism-associated brain differences can be observed in utero using MRI. Cereb Cortex 2024; 34:bhae117. [PMID: 38602735 PMCID: PMC11008691 DOI: 10.1093/cercor/bhae117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 04/12/2024] Open
Abstract
Developmental changes that occur before birth are thought to be associated with the development of autism spectrum disorders. Identifying anatomical predictors of early brain development may contribute to our understanding of the neurobiology of autism spectrum disorders and allow for earlier and more effective identification and treatment of autism spectrum disorders. In this study, we used retrospective clinical brain magnetic resonance imaging data from fetuses who were diagnosed with autism spectrum disorders later in life (prospective autism spectrum disorders) in order to identify the earliest magnetic resonance imaging-based regional volumetric biomarkers. Our results showed that magnetic resonance imaging-based autism spectrum disorder biomarkers can be found as early as in the fetal period and suggested that the increased volume of the insular cortex may be the most promising magnetic resonance imaging-based fetal biomarker for the future emergence of autism spectrum disorders, along with some additional, potentially useful changes in regional volumes and hemispheric asymmetries.
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Affiliation(s)
- Alpen Ortug
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Yurui Guo
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Yangming Ou
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Jose Luis Alatorre Warren
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Harrison Dieuveuil
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Nicole T Baumer
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Susan K Faja
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Harvard Medical School, Brookline, MA 02115, United States
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
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28
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Ke M, Hou L, Liu G. The co-activation patterns of multiple brain regions in Juvenile Myoclonic Epilepsy. Cogn Neurodyn 2024; 18:337-347. [PMID: 38699614 PMCID: PMC11061087 DOI: 10.1007/s11571-022-09838-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 06/09/2022] [Accepted: 06/17/2022] [Indexed: 11/03/2022] Open
Abstract
Juvenile myoclonic epilepsy (JME) as an idiopathic generalized epilepsy has been studied by many advanced neuroimaging techniques to elucidate its neuroanatomical basis and pathophysiological mechanisms. In this paper, we used co-activation patterns (CAPs) to explore the differences of dynamic brain activity changes in resting state between JME patients and healthy controls. 27 cases JME patients and 27 cases healthy of fMRI data were collected. The structural image data of the subjects were analyzed by voxel-based morphological analysis, and the regions with gray matter volume atrophy and high voxel were selected as the regions of interest. Further, the mean disease duration was used as boundary to divide the patients' data into the below-average time and the above-average time groups, which were defined as patient disease duration groups. And these data were used to construct CAPs and to compare changes in brain dynamics. It was found that the number of patterns occurrences and the possibility of switching between patterns were smaller than those in the healthy control, which indicated patients with damage to brain regions. For the patient time control group, the number of patterns occurrences and the possibility of switching between patterns were similar, while there was linear regression between the three values and disease duration. Collectively, this study provides important evidence for revealing the key brain regions of JME by studying the transformation between CAPs. Future studies could investigate the effects of receiving treatment on patient dynamic brain activity.
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Affiliation(s)
- Ming Ke
- School of Computer and Communication, Lanzhou University of Technology, 730050 Lanzhou, China
| | - Lei Hou
- School of Computer and Communication, Lanzhou University of Technology, 730050 Lanzhou, China
| | - Guangyao Liu
- Department of Magnetic Resonance, Lanzhou University Second Hospital, 730030 Lanzhou, China
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29
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Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau CA, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. Nat Commun 2024; 15:2639. [PMID: 38531844 PMCID: PMC10966068 DOI: 10.1038/s41467-024-46784-w] [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: 05/22/2023] [Accepted: 03/11/2024] [Indexed: 03/28/2024] Open
Abstract
Asymmetry between the left and right hemisphere is a key feature of brain organization. Hemispheric functional specialization underlies some of the most advanced human-defining cognitive operations, such as articulated language, perspective taking, or rapid detection of facial cues. Yet, genetic investigations into brain asymmetry have mostly relied on common variants, which typically exert small effects on brain-related phenotypes. Here, we leverage rare genomic deletions and duplications to study how genetic alterations reverberate in human brain and behavior. We designed a pattern-learning approach to dissect the impact of eight high-effect-size copy number variations (CNVs) on brain asymmetry in a multi-site cohort of 552 CNV carriers and 290 non-carriers. Isolated multivariate brain asymmetry patterns spotlighted regions typically thought to subserve lateralized functions, including language, hearing, as well as visual, face and word recognition. Planum temporale asymmetry emerged as especially susceptible to deletions and duplications of specific gene sets. Targeted analysis of common variants through genome-wide association study (GWAS) consolidated partly diverging genetic influences on the right versus left planum temporale structure. In conclusion, our gene-brain-behavior data fusion highlights the consequences of genetically controlled brain lateralization on uniquely human cognitive capacities.
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Affiliation(s)
- Jakub Kopal
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Kimia Shafighi
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Karin Saltoun
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada
| | - Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Clara A Moreau
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | | | | | - Zohra Saci
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Nadine Younis
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Khadije Jizi
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Alexis Beauchamp-Chatel
- Institut universitaire en santé mentale de Montréal, University of Montréal, Montréal, Canada
- Department of Psychiatry, University of Montreal, Montréal, Canada
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Robert Zatorre
- International Laboratory for Brain, Music and Sound Research, Montreal, QC, Canada
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine, Montréal, Quebec, Canada
- Department of Pediatrics, University of Montréal, Montréal, Quebec, Canada
| | - Danilo Bzdok
- Mila - Québec Artificial Intelligence Institute, Montréal, QC, Canada.
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Canada.
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, QC, Canada.
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30
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Tomasi D, Volkow ND. Associations between handedness and brain functional connectivity patterns in children. Nat Commun 2024; 15:2355. [PMID: 38491089 PMCID: PMC10943124 DOI: 10.1038/s41467-024-46690-1] [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: 10/10/2023] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
Handedness develops early in life, but the structural and functional brain connectivity patterns associated with it remains unknown. Here we investigate associations between handedness and the asymmetry of brain connectivity in 9- to 10-years old children from the Adolescent Brain Cognitive Development (ABCD) study. Compared to right-handers, left-handers had increased global functional connectivity density in the left-hand motor area and decreased it in the right-hand motor area. A connectivity-based index of handedness provided a sharper differentiation between right- and left-handers. The laterality of hand-motor connectivity varied as a function of handedness in unimodal sensorimotor cortices, heteromodal areas, and cerebellum (P < 0.001) and reproduced across all regions of interest in Discovery and Replication subsamples. Here we show a strong association between handedness and the laterality of the functional connectivity patterns in the absence of differences in structural connectivity, brain morphometrics, and cortical myelin between left, right, and mixed handed children.
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Affiliation(s)
- Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA.
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
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31
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Shi Y, Cui D, Sun F, OuYang Z, Dou R, Jiao Q, Cao W, Yu G. Exploring sexual dimorphism in basal forebrain volume changes during aging and neurodegenerative diseases. iScience 2024; 27:109041. [PMID: 38361626 PMCID: PMC10867643 DOI: 10.1016/j.isci.2024.109041] [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: 08/11/2023] [Revised: 11/15/2023] [Accepted: 01/23/2024] [Indexed: 02/17/2024] Open
Abstract
Patients with neurodegenerative diseases exhibit diminished basal forebrain (BF) volume compared to healthy individuals. However, it's uncertain whether this difference is consistent between sexes. It has been reported that BF volume moderately atrophies during aging, but the effect of sex on BF volume changes during the normal aging process remains unclear. In the cross-sectional study, we observed a significant reduction in BF volume in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) compared to Healthy Controls (HCs), especially in the Ch4 subregion. Notably, significant differences in BF volume between MCI and HCs were observed solely in the female group. Additionally, we identified asymmetrical atrophy in the left and right Ch4 subregions in female patients with AD. In the longitudinal analysis, we found that aging seemed to have a minimal impact on BF volume in males. Our study highlights the importance of considering sex as a research variable in brain science.
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Affiliation(s)
- Yajun Shi
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Dong Cui
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Fengzhu Sun
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Zhen OuYang
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
- Department of Radiology, Taian Municipal Hospital, Tai’ an, Shandong 271000, China
| | - Ruhai Dou
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Qing Jiao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Weifang Cao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
| | - Guanghui Yu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’ an, Shandong 271000, China
- School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’ an, Shandong 271016, China
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32
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Gerrits R. Variability in Hemispheric Functional Segregation Phenotypes: A Review and General Mechanistic Model. Neuropsychol Rev 2024; 34:27-40. [PMID: 36576683 DOI: 10.1007/s11065-022-09575-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/15/2022] [Accepted: 11/16/2022] [Indexed: 12/29/2022]
Abstract
Many functions of the human brain are organized asymmetrically and are subject to strong population biases. Some tasks, like speaking and making complex hand movements, exhibit left hemispheric dominance, whereas others, such as spatial processing and recognizing faces, favor the right hemisphere. While pattern of preference implies the existence of a stereotypical way of distributing functions between the hemispheres, an ever-increasing body of evidence indicates that not everyone follows this pattern of hemispheric functional segregation. On the contrary, the review conducted in this article shows that departures from the standard hemispheric division of labor are routinely observed and assume many distinct forms, each having a different prevalence rate. One of the key challenges in human neuroscience is to model this variability. By integrating well-established and recently emerged ideas about the mechanisms that underlie functional lateralization, the current article proposes a general mechanistic model that explains the observed distribution of segregation phenotypes and generates new testable hypotheses.
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Affiliation(s)
- Robin Gerrits
- Department of Experimental Psychology, Ghent University, Ghent, Belgium.
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Lambrecq V, Alonso I, Hasboun D, Dinkelacker V, Davachi L, Samson S, Dupont S. Memory functioning after hippocampal removal: Does side matter? J Neuropsychol 2024; 18:15-29. [PMID: 36861271 DOI: 10.1111/jnp.12309] [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: 05/04/2022] [Accepted: 02/14/2023] [Indexed: 03/03/2023]
Abstract
To address the memory functioning after medial temporal lobe (MTL) surgery for refractory epilepsy and relationships with the side of the hippocampal removal, 22 patients with pharmaco-resistant epilepsy who had undergone MTL resection (10 right/12 left) at the Salpêtrière Hospital were compared with 21 matched healthy controls. We designed a specific neuropsychological binding memory test that specifically addressed hippocampal cortex functioning, and left-right material-specific lateralization. Our results showed that both left and right mesial temporal lobe removal cause a severe memory impairment, for both verbal and visual material. The removal of left medial temporal lobe causes worse memory impairment than the right removal regardless of the stimuli type (verbal or visual) questioning the theory of the hippocampal material-specific lateralization. The present study provided new evidence for the role of both hippocampus and surrounding cortices in memory-binding whatever the material type and also suggested that a left MTL removal is more deleterious for both verbal and visual episodic memory in comparison with right MTL removal.
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Affiliation(s)
- Virginie Lambrecq
- Sorbonne University, Paris, France
- Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Paris, France
- AP-HP, Neurophysiology Department, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
- AP-HP, Epilepsy Unit, Neurology Department, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
| | - Irene Alonso
- Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Paris, France
- Servicio de Salud Mental, Hospital Universitario Central de Asturias, Servicio de Salud del Principado de Asturias, Oviedo, Spain
| | - Dominique Hasboun
- Sorbonne University, Paris, France
- Service d'Anatomie, Sorbonne University, Paris, France
| | - Vera Dinkelacker
- AP-HP, Neuroradiology Department, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
- Neurology Department, Hautepierre Hospital, University of Strasbourg, Strasbourg, France
| | - Lila Davachi
- Departmentof Psychology, Columbia University, New York City, New York, USA
- Department of Clinical Research, Nathan Kline Institute for Psychiatric Research, New York City, New York, USA
| | - Séverine Samson
- Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Paris, France
- AP-HP, Epilepsy Unit, Neurology Department, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
- ULR 4072 - PSITEC - Department of Psychology: Interactions, Temps, Emotions, Cognition, University of Lille, Lille, France
| | - Sophie Dupont
- Sorbonne University, Paris, France
- Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Paris, France
- AP-HP, Epilepsy Unit, Neurology Department, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
- Service d'Anatomie, Sorbonne University, Paris, France
- Rehabilitation Unit, APHP Sorbonne, Pitie-Salpetriere Hospital, Paris, France
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34
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Messina A, Sovrano VA, Baratti G, Musa A, Gobbo A, Adiletta A, Sgadò P. Valproic acid exposure affects social visual lateralization and asymmetric gene expression in zebrafish larvae. Sci Rep 2024; 14:4474. [PMID: 38395997 PMCID: PMC10891151 DOI: 10.1038/s41598-024-54356-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
Cerebral asymmetry is critical for typical brain function and development; at the same time, altered brain lateralization seems to be associated with neuropsychiatric disorders. Zebrafish are increasingly emerging as model species to study brain lateralization, using asymmetric development of the habenula, a phylogenetically old brain structure associated with social and emotional processing, to investigate the relationship between brain asymmetry and social behavior. We exposed 5-h post-fertilization zebrafish embryos to valproic acid (VPA), a compound used to model the core signs of ASD in many vertebrate species, and assessed social interaction, visual lateralization and gene expression in the thalamus and the telencephalon. VPA-exposed zebrafish exhibit social deficits and a deconstruction of social visual laterality to the mirror. We also observe changes in the asymmetric expression of the epithalamic marker leftover and in the size of the dorsolateral part of the habenula in adult zebrafish. Our data indicate that VPA exposure neutralizes the animals' visual field bias, with a complete loss of the left-eye use bias in front of their own mirror image, and alters brain asymmetric gene expression and morphology, opening new perspectives to investigate brain lateralization and its link to atypical social cognitive development.
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Affiliation(s)
- Andrea Messina
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy
| | - Valeria Anna Sovrano
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy.
| | - Greta Baratti
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy
| | - Alessia Musa
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy
| | - Alessandra Gobbo
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy
| | - Alice Adiletta
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy
| | - Paola Sgadò
- Center for Mind/Brain Sciences, University of Trento, Piazza della Manifattura 1, 38068, Rovereto, TN, Italy.
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Korbmacher M, van der Meer D, Beck D, de Lange AMG, Eikefjord E, Lundervold A, Andreassen OA, Westlye LT, Maximov II. Brain asymmetries from mid- to late life and hemispheric brain age. Nat Commun 2024; 15:956. [PMID: 38302499 PMCID: PMC10834516 DOI: 10.1038/s41467-024-45282-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
The human brain demonstrates structural and functional asymmetries which have implications for ageing and mental and neurological disease development. We used a set of magnetic resonance imaging (MRI) metrics derived from structural and diffusion MRI data in N=48,040 UK Biobank participants to evaluate age-related differences in brain asymmetry. Most regional grey and white matter metrics presented asymmetry, which were higher later in life. Informed by these results, we conducted hemispheric brain age (HBA) predictions from left/right multimodal MRI metrics. HBA was concordant to conventional brain age predictions, using metrics from both hemispheres, but offers a supplemental general marker of brain asymmetry when setting left/right HBA into relationship with each other. In contrast to WM brain asymmetries, left/right discrepancies in HBA are lower at higher ages. Our findings outline various sex-specific differences, particularly important for brain age estimates, and the value of further investigating the role of brain asymmetries in brain ageing and disease development.
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Affiliation(s)
- Max Korbmacher
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
- Mohn Medical Imaging and Visualization Centre (MMIV), Bergen, Norway.
| | - Dennis van der Meer
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Dani Beck
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ann-Marie G de Lange
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Eli Eikefjord
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre (MMIV), Bergen, Norway
| | - Arvid Lundervold
- Mohn Medical Imaging and Visualization Centre (MMIV), Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Ole A Andreassen
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ivan I Maximov
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
- NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
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36
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Borgomaneri S, Vitale F, Battaglia S, de Vega M, Avenanti A. Task-related modulation of motor response to emotional bodies: A TMS motor-evoked potential study. Cortex 2024; 171:235-246. [PMID: 38096756 DOI: 10.1016/j.cortex.2023.10.013] [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: 06/13/2023] [Revised: 09/19/2023] [Accepted: 10/06/2023] [Indexed: 02/12/2024]
Abstract
Exposure to emotional body postures during perceptual decision-making tasks has been linked to transient suppression of motor reactivity, supporting the monitoring of emotionally relevant information. However, it remains unclear whether this effect occurs implicitly, i.e., when emotional information is irrelevant to the task. To investigate this issue, we used single-pulse transcranial magnetic stimulation (TMS) to assess motor excitability while healthy participants were asked to categorize pictures of body expressions as emotional or neutral (emotion recognition task) or as belonging to a male or a female actor (gender recognition task) while receiving TMS over the motor cortex at 100 and 125 ms after picture onset. Results demonstrated that motor-evoked potentials (MEPs) were reduced for emotional body postures relative to neutral postures during the emotion recognition task. Conversely, MEPs increased for emotional body postures relative to neutral postures during the gender recognition task. These findings indicate that motor inhibition, contingent upon observing emotional body postures, is selectively associated with actively monitoring emotional features. In contrast, observing emotional body postures prompts motor facilitation when task-relevant features are non-emotional. These findings contribute to embodied cognition models that link emotion perception and action tendencies.
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Affiliation(s)
- Sara Borgomaneri
- Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia "Renzo Canestrari", Alma Mater Studiorum Università di Bologna, Campus di Cesena, Cesena, Italy.
| | - Francesca Vitale
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Simone Battaglia
- Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia "Renzo Canestrari", Alma Mater Studiorum Università di Bologna, Campus di Cesena, Cesena, Italy
| | - Manuel de Vega
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Alessio Avenanti
- Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia "Renzo Canestrari", Alma Mater Studiorum Università di Bologna, Campus di Cesena, Cesena, Italy; Centro de Investigación en Neuropsicología y Neurosciencias Cognitivas, Universidad Católica Del Maule, Talca, Chile.
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37
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Cheng Y, Lin L, Jiang S, Huang P, Zhang J, Xin J, Xu H, Wang Y, Pan X. Aberrant microstructural integrity of white matter in mild and severe orthostatic hypotension: A NODDI study. CNS Neurosci Ther 2024; 30:e14586. [PMID: 38421091 PMCID: PMC10851318 DOI: 10.1111/cns.14586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 03/02/2024] Open
Abstract
OBJECTIVE Scarce evidence is available to elucidate the association between the abnormal microstructure of white matter (WM) and cognitive performance in patients with orthostatic hypotension (OH). This study investigated the microstructural integrity of WM in patients with mild OH (MOH) and severe OH (SOH) and evaluated the association of abnormal WM microstructure with the broad cognitive domains and cognition-related plasma biomarkers. METHODS Our study included 72 non-OH (NOH), 17 MOH, and 11 SOH participants. Across the groups, the WM integrity was analyzed by neurite orientation dispersion and density imaging (NODDI), and differences in WM microstructure were evaluated by nonparametric tests and post hoc models. The correlations between WM microstructure and broad cognitive domains and cognition-related plasma biomarkers were assessed by Spearman's correlation analysis. RESULTS The abnormal WM microstructure was localized to the WM fiber bundles in MOH patients but distributed widely in SOH cohorts (p < 0.05). Further analysis showed that the neurite density index of the left cingulate gyrus was negatively associated with amyloid β-40, glial fibrillary acidic protein, neurofilament light chain, phospho-tau181 (p < 0.05) but positively with global cognitive function (MOCA, MMSE, AER-III), memory, attention, language, language fluency, visuospatial function and amyloid β-40 / amyloid β-42 (p < 0.05). Additionally, other abnormal WM microstructures of OH were associated with broad cognitive domains and cognition-related plasma biomarkers to varying degrees. CONCLUSION The findings evidence that abnormal WM microstructures may present themselves as early as in the MOH phase and that these structural abnormalities are associated with cognitive functions and cognition-related plasma biomarkers.
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Affiliation(s)
- Yingzhe Cheng
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Lin Lin
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Shaofan Jiang
- Department of RadiologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for TumorsFujian Medical UniversityFuzhou CityChina
| | - Peilin Huang
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Jiejun Zhang
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
- Center for GeriatricsHainan General HospitalHainanChina
| | - Jiawei Xin
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
| | - Haibin Xu
- Fujian Medical UniversityFuzhou CityChina
| | - Yanping Wang
- Department of EndocrinologyFujian Medical University Union HospitalFuzhou CityChina
| | - Xiaodong Pan
- Department of Neurology, Center for Cognitive NeurologyFujian Medical University Union HospitalFuzhou CityChina
- Fujian Institute of GeriatricsFujian Medical University Union HospitalFuzhou CityChina
- Institute of Clinical NeurologyFujian Medical UniversityFuzhou CityChina
- Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhou CityChina
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38
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Yang 杨炀 Y, Li 李君君 J, Zhao 赵恺 K, Tam F, Graham SJ, Xu 徐敏 M, Zhou 周可 K. Lateralized Functional Connectivity of the Sensorimotor Cortex and its Variations During Complex Visuomotor Tasks. J Neurosci 2024; 44:e0723232023. [PMID: 38050101 PMCID: PMC10860583 DOI: 10.1523/jneurosci.0723-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 11/10/2023] [Accepted: 11/19/2023] [Indexed: 12/06/2023] Open
Abstract
Previous studies have shown that the left hemisphere dominates motor function, often observed through homotopic activation measurements. Using a functional connectivity approach, this study investigated the lateralization of the sensorimotor cortex during handwriting and drawing, two complex visuomotor tasks with varying contextual demands. We found that both left- and right-lateralized connectivity in the primary motor cortex (M1), dorsal premotor cortex (PMd), somatosensory cortex, and visual regions were evident in adults (males and females), primarily in an interhemispheric integrative fashion. Critically, these lateralization tendencies remained highly invariant across task contexts, representing a task-invariant neural architecture for encoding fundamental motor programs consistently implemented in different task contexts. Additionally, the PMd exhibited a slight variation in lateralization degree between task contexts, reflecting the ability of the high-order motor system to adapt to varying task demands. However, connectivity-based lateralization of the sensorimotor cortex was not detected in 10-year-old children (males and females), suggesting that the maturation of connectivity-based lateralization requires prolonged development. In summary, this study demonstrates both task-invariant and task-sensitive connectivity lateralization in sensorimotor cortices that support the resilience and adaptability of skilled visuomotor performance. These findings align with the hierarchical organization of the motor system and underscore the significance of the functional connectivity-based approach in studying functional lateralization.
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Affiliation(s)
- Yang Yang 杨炀
- CAS Key Laboratory of Behavioral Science, Center for Brain Science and Learning Difficulties, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junjun Li 李君君
- CAS Key Laboratory of Behavioral Science, Center for Brain Science and Learning Difficulties, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Zhao 赵恺
- Institute of Brain Trauma and Neurology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin 300300, China
| | - Fred Tam
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario M4N 3M5, Canada
| | - Simon J Graham
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario M4N 3M5, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Min Xu 徐敏
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Ke Zhou 周可
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing 100875, China
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39
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Luo J, Qin P, Bi Q, Wu K, Gong G. Individual variability in functional connectivity of human auditory cortex. Cereb Cortex 2024; 34:bhae007. [PMID: 38282455 DOI: 10.1093/cercor/bhae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/30/2024] Open
Abstract
Individual variability in functional connectivity underlies individual differences in cognition and behaviors, yet its association with functional specialization in the auditory cortex remains elusive. Using resting-state functional magnetic resonance imaging data from the Human Connectome Project, this study was designed to investigate the spatial distribution of auditory cortex individual variability in its whole-brain functional network architecture. An inherent hierarchical axis of the variability was discerned, which radiates from the medial to lateral orientation, with the left auditory cortex demonstrating more pronounced variations than the right. This variability exhibited a significant correlation with the variations in structural and functional metrics in the auditory cortex. Four auditory cortex subregions, which were identified from a clustering analysis based on this variability, exhibited unique connectional fingerprints and cognitive maps, with certain subregions showing specificity to speech perception functional activation. Moreover, the lateralization of the connectional fingerprint exhibited a U-shaped trajectory across the subregions. These findings emphasize the role of individual variability in functional connectivity in understanding cortical functional organization, as well as in revealing its association with functional specialization from the activation, connectome, and cognition perspectives.
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Affiliation(s)
- Junhao Luo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Peipei Qin
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Qiuhui Bi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
| | - Ke Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
- Chinese Institute for Brain Research, Beijing 102206, China
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40
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Chen YC, Tiego J, Segal A, Chopra S, Holmes A, Suo C, Pang JC, Fornito A, Aquino KM. A multiscale characterization of cortical shape asymmetries in early psychosis. Brain Commun 2024; 6:fcae015. [PMID: 38347944 PMCID: PMC10859637 DOI: 10.1093/braincomms/fcae015] [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: 10/12/2023] [Revised: 12/29/2023] [Accepted: 01/19/2024] [Indexed: 02/15/2024] Open
Abstract
Psychosis has often been linked to abnormal cortical asymmetry, but prior results have been inconsistent. Here, we applied a novel spectral shape analysis to characterize cortical shape asymmetries in patients with early psychosis across different spatial scales. We used the Human Connectome Project for Early Psychosis dataset (aged 16-35), comprising 56 healthy controls (37 males, 19 females) and 112 patients with early psychosis (68 males, 44 females). We quantified shape variations of each hemisphere over different spatial frequencies and applied a general linear model to compare differences between healthy controls and patients with early psychosis. We further used canonical correlation analysis to examine associations between shape asymmetries and clinical symptoms. Cortical shape asymmetries, spanning wavelengths from about 22 to 75 mm, were significantly different between healthy controls and patients with early psychosis (Cohen's d = 0.28-0.51), with patients showing greater asymmetry in cortical shape than controls. A single canonical mode linked the asymmetry measures to symptoms (canonical correlation analysis r = 0.45), such that higher cortical asymmetry was correlated with more severe excitement symptoms and less severe emotional distress. Significant group differences in the asymmetries of traditional morphological measures of cortical thickness, surface area, and gyrification, at either global or regional levels, were not identified. Cortical shape asymmetries are more sensitive than other morphological asymmetries in capturing abnormalities in patients with early psychosis. These abnormalities are expressed at coarse spatial scales and are correlated with specific symptom domains.
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Affiliation(s)
- Yu-Chi Chen
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Data Futures Institute, Monash University, Melbourne 3800, Australia
- Brain and Mind Centre, University of Sydney, Sydney 2050, Australia
- Brain Dynamic Centre, Westmead Institute for Medical Research, University of Sydney, Sydney 2145, Australia
| | - Jeggan Tiego
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
| | - Ashlea Segal
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Sidhant Chopra
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Alexander Holmes
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
| | - Chao Suo
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- BrainPark, School of Psychological Sciences, Monash University, Melbourne 3800, Australia
| | - James C Pang
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
| | - Alex Fornito
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
| | - Kevin M Aquino
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia
- School of Physics, University of Sydney, Sydney 2050, Australia
- Center of Excellence for Integrative Brain Function, University of Sydney, Sydney 2050, Australia
- BrainKey Inc, San Francisco, CA 94103, USA
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41
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Qiu E, Xing X, Wang Y, Tian L. Altered functional connectivity of the thalamus and salience network in patients with cluster headache: a pilot study. Neurol Sci 2024; 45:269-276. [PMID: 37578630 DOI: 10.1007/s10072-023-07011-4] [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: 05/29/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Previous studies have shown that the salience network (SN) and the thalamus are involved in cluster headache (CH) attacks. However, very little is known regarding the altered thalamus-SN functional connectivity in CH. The aim of this study was to explore alterations of functional connectivity between the thalamus and the SN in patients with CH to further gain insight into the pathophysiology of CH. MATERIALS AND METHODS The resting-state functional MRI (rs-fMRI) data of 21 patients with CH in the headache attack remission state during in-bout periods and 21 age- and sex-matched normal controls were obtained. The rs-fMRI data were analyzed by the independent component analysis (ICA) method, and the thalamus-SN functional connectivity in patients with right-sided and left-sided CH was compared with that in normal controls. RESULTS Decreased functional connectivity was found between the thalamus, both ipsilateral and contralateral to the headache side, and the SN during headache remission state in both right-sided CH patients and left-sided CH patients. CONCLUSIONS The findings suggest that the decreased functional connectivity between the thalamus and SN might be one of the pathologies underpinning the CH. This helps us to understand better the nature of the brain dysfunction in CH and the basic pathologies of CH, which implies that this deserves further investigation.
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Affiliation(s)
- Enchao Qiu
- Jefferson Headache Center, Department of Neurology, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
| | - Xinbo Xing
- Department of Radiology, the Fourth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China
| | - Yan Wang
- Department of Radiology, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Lixia Tian
- Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, 100044, China
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42
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Dumitru ML. Brain asymmetry is globally different in males and females: exploring cortical volume, area, thickness, and mean curvature. Cereb Cortex 2023; 33:11623-11633. [PMID: 37851852 PMCID: PMC10724869 DOI: 10.1093/cercor/bhad396] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023] Open
Abstract
Brain asymmetry is a cornerstone in the development of higher-level cognition, but it is unclear whether and how it differs in males and females. Asymmetry has been investigated using the laterality index, which compares homologous regions as pairwise weighted differences between the left and the right hemisphere. However, if asymmetry differences between males and females are global instead of pairwise, involving proportions between multiple brain areas, novel methodological tools are needed to evaluate them. Here, we used the Amsterdam Open MRI collection to investigate sexual dimorphism in brain asymmetry by comparing laterality index with the distance index, which is a global measure of differences within and across hemispheres, and with the subtraction index, which compares pairwise raw values in the left and right hemisphere. Machine learning models, robustness tests, and group analyses of cortical volume, area, thickness, and mean curvature revealed that, of the three indices, distance index was the most successful biomarker of sexual dimorphism. These findings suggest that left-right asymmetry in males and females involves global coherence rather than pairwise contrasts. Further studies are needed to investigate the biological basis of local and global asymmetry based on growth patterns under genetic, hormonal, and environmental factors.
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Affiliation(s)
- Magda L Dumitru
- Department of Biological Sciences, University of Bergen, Postboks 7803, 5020 Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Postboks 7807, 5020 Bergen, Norway
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43
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Peterson M, Braga RM, Floris DL, Nielsen JA. Evidence for a Compensatory Relationship between Left- and Right-Lateralized Brain Networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.08.570817. [PMID: 38106130 PMCID: PMC10723397 DOI: 10.1101/2023.12.08.570817] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The two hemispheres of the human brain are functionally asymmetric. At the network level, the language network exhibits left-hemisphere lateralization. While this asymmetry is widely replicated, the extent to which other functional networks demonstrate lateralization remains a subject of Investigation. Additionally, it is unknown how the lateralization of one functional network may affect the lateralization of other networks within individuals. We quantified lateralization for each of 17 networks by computing the relative surface area on the left and right cerebral hemispheres. After examining the ecological, convergent, and external validity and test-retest reliability of this surface area-based measure of lateralization, we addressed two hypotheses across multiple datasets (Human Connectome Project = 553, Human Connectome Project-Development = 343, Natural Scenes Dataset = 8). First, we hypothesized that networks associated with language, visuospatial attention, and executive control would show the greatest lateralization. Second, we hypothesized that relationships between lateralized networks would follow a dependent relationship such that greater left-lateralization of a network would be associated with greater right-lateralization of a different network within individuals, and that this pattern would be systematic across individuals. A language network was among the three networks identified as being significantly left-lateralized, and attention and executive control networks were among the five networks identified as being significantly right-lateralized. Next, correlation matrices, an exploratory factor analysis, and confirmatory factor analyses were used to test the second hypothesis and examine the organization of lateralized networks. We found general support for a dependent relationship between highly left- and right-lateralized networks, meaning that across subjects, greater left lateralization of a given network (such as a language network) was linked to greater right lateralization of another network (such as a ventral attention/salience network) and vice versa. These results further our understanding of brain organization at the macro-scale network level in individuals, carrying specific relevance for neurodevelopmental conditions characterized by disruptions in lateralization such as autism and schizophrenia.
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Affiliation(s)
- Madeline Peterson
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
| | - Rodrigo M. Braga
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Dorothea L. Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Jared A. Nielsen
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
- Neuroscience Center, Brigham Young University, Provo, UT, 84604, USA
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44
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Studnicki A, Seidler RD, Ferris DP. A table tennis serve versus rally hit elicits differential hemispheric electrocortical power fluctuations. J Neurophysiol 2023; 130:1444-1456. [PMID: 37964746 PMCID: PMC10994643 DOI: 10.1152/jn.00091.2023] [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: 03/01/2023] [Revised: 10/10/2023] [Accepted: 11/08/2023] [Indexed: 11/16/2023] Open
Abstract
Human visuomotor control requires coordinated interhemispheric interactions to exploit the brain's functional lateralization. In right-handed individuals, the left hemisphere (right arm) is better for dynamic control and the right hemisphere (left arm) is better for impedance control. Table tennis is a game that requires precise movements of the paddle, whole body coordination, and cognitive engagement, providing an ecologically valid way to study visuomotor integration. The sport has many different types of strokes (e.g., serve, return, and rally shots), which should provide unique cortical dynamics given differences in the sensorimotor demands. The goal of this study was to determine the hemispheric specialization of table tennis serving - a sequential, self-paced, bimanual maneuver. We used time-frequency analysis, event-related potentials, and functional connectivity measures of source-localized electrocortical clusters and compared serves with other types of shots, which varied in the types of movement required, attentional focus, and other task demands. We found greater alpha (8-12 Hz) and beta (13-30 Hz) power in the right sensorimotor cortex than in the left sensorimotor cortex, and we found a greater magnitude of spectral power fluctuations in the right sensorimotor cortex for serve hits than return or rally hits, in all right-handed participants. Surprisingly, we did not find a difference in interhemispheric functional connectivity between a table tennis serve and return or rally hits, even though a serve could arguably be a more complex maneuver. Studying real-world brain dynamics of table tennis provides insight into bilateral sensorimotor integration.NEW & NOTEWORTHY We found different spectral power fluctuations in the left and right sensorimotor cortices during table tennis serves, returns, and rallies. Our findings contribute to the basic science understanding of hemispheric specialization in a real-world context.
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Affiliation(s)
- Amanda Studnicki
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, United States
| | - Rachael D Seidler
- Department of Applied Physiology & Kinesiology, University of Florida, Gainesville, Florida, United States
| | - Daniel P Ferris
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, United States
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45
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Lingelbach K, Gado S, Wirzberger M, Vukelić M. Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: a close-to-naturalistic fNIRS study. FRONTIERS IN NEUROERGONOMICS 2023; 4:1273810. [PMID: 38234490 PMCID: PMC10790862 DOI: 10.3389/fnrgo.2023.1273810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/23/2023] [Indexed: 01/19/2024]
Abstract
Introduction We investigated brain activation patterns of interacting emotional distractions and cognitive processes in a close-to-naturalistic functional near-infrared spectroscopy (fNIRS) study. Methods Eighteen participants engaged in a monitoring-control task, mimicking common air traffic controller requirements. The scenario entailed experiencing both low and high workload, while concurrently being exposed to emotional speech distractions of positive, negative, and neutral valence. Results Our investigation identified hemispheric asymmetries in prefrontal cortex (PFC) activity during the presentation of negative and positive emotional speech distractions at different workload levels. Thereby, in particular, activation in the left inferior frontal gyrus (IFG) and orbitofrontal cortex (OFC) seems to play a crucial role. Brain activation patterns revealed a cross-over interaction indicating workload-dependent left hemispheric inhibition processes during negative distractions and high workload. For positive emotional distractions under low workload, we observed left-hemispheric PFC recruitment potentially associated with speech-related processes. Furthermore, we found a workload-independent negativity bias for neutral distractions, showing brain activation patterns similar to those of negative distractions. Discussion In conclusion, lateralized hemispheric processing, regulating emotional speech distractions and integrating emotional and cognitive processes, is influenced by workload levels and stimulus characteristics. These findings advance our understanding of the factors modulating hemispheric asymmetries during the processing and inhibition of emotional distractions, as well as the interplay between emotion and cognition. Moreover, they emphasize the significance of exploring emotion-cognition interactions in more naturalistic settings to gain a deeper understanding of their implications in real-world application scenarios (e.g., working and learning environments).
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Affiliation(s)
- Katharina Lingelbach
- Applied Neurocognitive Systems, Fraunhofer Institute for Industrial Engineering IAO, Stuttgart, Germany
- Applied Neurocognitive Psychology, Carl von Ossietzky University, Oldenburg, Germany
| | - Sabrina Gado
- Experimental Clinical Psychology, Department of Psychology, University of Würzburg, Würzburg, Germany
| | - Maria Wirzberger
- Department of Teaching and Learning with Intelligent Systems, University of Stuttgart, Stuttgart, Germany
- LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany
| | - Mathias Vukelić
- Applied Neurocognitive Systems, Fraunhofer Institute for Industrial Engineering IAO, Stuttgart, Germany
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46
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Namburete AIL, Papież BW, Fernandes M, Wyburd MK, Hesse LS, Moser FA, Ismail LC, Gunier RB, Squier W, Ohuma EO, Carvalho M, Jaffer Y, Gravett M, Wu Q, Lambert A, Winsey A, Restrepo-Méndez MC, Bertino E, Purwar M, Barros FC, Stein A, Noble JA, Molnár Z, Jenkinson M, Bhutta ZA, Papageorghiou AT, Villar J, Kennedy SH. Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years. Nature 2023; 623:106-114. [PMID: 37880365 PMCID: PMC10620088 DOI: 10.1038/s41586-023-06630-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 09/08/2023] [Indexed: 10/27/2023]
Abstract
Maturation of the human fetal brain should follow precisely scheduled structural growth and folding of the cerebral cortex for optimal postnatal function1. We present a normative digital atlas of fetal brain maturation based on a prospective international cohort of healthy pregnant women2, selected using World Health Organization recommendations for growth standards3. Their fetuses were accurately dated in the first trimester, with satisfactory growth and neurodevelopment from early pregnancy to 2 years of age4,5. The atlas was produced using 1,059 optimal quality, three-dimensional ultrasound brain volumes from 899 of the fetuses and an automated analysis pipeline6-8. The atlas corresponds structurally to published magnetic resonance images9, but with finer anatomical details in deep grey matter. The between-study site variability represented less than 8.0% of the total variance of all brain measures, supporting pooling data from the eight study sites to produce patterns of normative maturation. We have thereby generated an average representation of each cerebral hemisphere between 14 and 31 weeks' gestation with quantification of intracranial volume variability and growth patterns. Emergent asymmetries were detectable from as early as 14 weeks, with peak asymmetries in regions associated with language development and functional lateralization between 20 and 26 weeks' gestation. These patterns were validated in 1,487 three-dimensional brain volumes from 1,295 different fetuses in the same cohort. We provide a unique spatiotemporal benchmark of fetal brain maturation from a large cohort with normative postnatal growth and neurodevelopment.
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Affiliation(s)
- Ana I L Namburete
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK.
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
- Department of Engineering Science, University of Oxford, Oxford, UK.
| | - Bartłomiej W Papież
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Michelle Fernandes
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Centre, Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Madeleine K Wyburd
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
| | - Linde S Hesse
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Felipe A Moser
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Robert B Gunier
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, CA, USA
| | - Waney Squier
- Department of Neuropathology, John Radcliffe Hospital, Oxford, UK
| | - Eric O Ohuma
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Maternal, Adolescent, Reproductive and Child Health Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Maria Carvalho
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, Aga Khan University Hospital, Nairobi, Kenya
| | - Yasmin Jaffer
- Department of Family and Community Health, Ministry of Health, Muscat, Sultanate of Oman
| | - Michael Gravett
- Departments of Obstetrics and Gynecology and of Global Health, University of Washington, Seattle, WA, USA
| | - Qingqing Wu
- School of Public Health, Peking University, Beijing, China
| | - Ann Lambert
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Adele Winsey
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | | | - Enrico Bertino
- Dipartimento di Scienze Pediatriche e dell' Adolescenza, SCDU Neonatologia, Universita di Torino, Turin, Italy
| | - Manorama Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - Fernando C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, UK
- African Health Research Institute, KwaZulu-Natal, South Africa
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - J Alison Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Zoltán Molnár
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
- Australian Institute for Machine Learning, Department of Computer Science, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Zulfiqar A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Aris T Papageorghiou
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - José Villar
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Stephen H Kennedy
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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47
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Irani ZA, Sheridan AMC, Badcock NA, Fox A. Assessing non-right-handedness and atypical cerebral lateralisation as predictors of paediatric mental health difficulties. Eur J Neurosci 2023; 58:4195-4210. [PMID: 37821770 DOI: 10.1111/ejn.16162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/09/2023] [Accepted: 09/18/2023] [Indexed: 10/13/2023]
Abstract
Research utilising handedness as a proxy for atypical language lateralisation has invoked the latter to explain increased mental health difficulties in left-/mixed-handed children. The current study investigated unique associations between handedness and language lateralisation, handedness and mental health, and language lateralisation and mental health, in children, to elucidate the role of cerebral lateralisation in paediatric mental health. Participants were N = 64 (34 females [52%]; MAge = 8.56 years; SDAge = 1.33; aged 6-12 years) typically developing children. Hand preference was assessed via a reaching task, language lateralisation was assessed using functional transcranial Doppler ultrasonography (fTCD) during an expressive language task, and mental health was assessed with the Strengths and Difficulties Questionnaire. As hypothesised, leftward hand preference predicted increased general mental health issues in children, with a strong relationship noted between leftward hand preference and the emotional symptoms subscale. Contrary to expectation, no relationship was found between direction of language lateralisation and general mental health issues, although exploratory analyses of subscales showed rightward lateralisation to predict conduct problems. Hand preference and direction of language lateralisation were also not significantly associated. The relatively weak relationship between manual and language laterality coupled with discrepancy regarding the predictive scope of each phenotype (i.e., hand preference predicts overall mental health, whereas language laterality predicts only conduct problems) suggests independent developmental pathways for these phenotypes. The role of manual laterality in paediatric mental health warrants further investigation utilising a neuroimaging method with higher spatial resolution.
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Affiliation(s)
- Zubin A Irani
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Andrew M C Sheridan
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Nicholas A Badcock
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Allison Fox
- School of Psychological Science, University of Western Australia, Perth, Australia
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48
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Ku BS, Collins M, Anglin DM, Diomino AM, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Druss BG, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF. Associations between childhood ethnoracial minority density, cortical thickness, and social engagement among minority youth at clinical high-risk for psychosis. Neuropsychopharmacology 2023; 48:1707-1715. [PMID: 37438421 PMCID: PMC10579230 DOI: 10.1038/s41386-023-01649-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/16/2023] [Accepted: 06/29/2023] [Indexed: 07/14/2023]
Abstract
An ethnoracial minority density (EMD) effect in studies of psychotic spectrum disorders has been observed, whereby the risk of psychosis in ethnoracial minority group individuals is inversely related to the proportion of minorities in their area of residence. The authors investigated the relationships among area-level EMD during childhood, cortical thickness (CT), and social engagement (SE) in clinical high risk for psychosis (CHR-P) youth. Data were collected as part of the North American Prodrome Longitudinal Study. Participants included 244 ethnoracial minoritized (predominantly Hispanic, Asian and Black) CHR-P youth and ethnoracial minoritized healthy controls. Among youth at CHR-P (n = 164), lower levels of EMD during childhood were associated with reduced CT in the right fusiform gyrus (adjusted β = 0.54; 95% CI 0.17 to 0.91) and right insula (adjusted β = 0.40; 95% CI 0.05 to 0.74). The associations between EMD and CT were significantly moderated by SE: among youth with lower SE (SE at or below the median, n = 122), lower levels of EMD were significantly associated with reduced right fusiform gyrus CT (adjusted β = 0.72; 95% CI 0.29 to 1.14) and reduced right insula CT (adjusted β = 0.57; 95% CI 0.18 to 0.97). However, among those with greater SE (n = 42), the associations between EMD and right insula and fusiform gyrus CT were not significant. We found evidence that lower levels of ethnic density during childhood were associated with reduced cortical thickness in regional brain regions, but this association may be buffered by greater levels of social engagement.
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Affiliation(s)
- Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
| | - Meghan Collins
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Deidre M Anglin
- Department of Psychology, The City College of New York, City University of New York, New York, NY, USA
- The Graduate Center, City University of New York, New York, NY, USA
| | - Anthony M Diomino
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Kristin S Cadenhead
- Department of Psychology, The City College of New York, City University of New York, New York, NY, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Benjamin G Druss
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Matcheri Keshavan
- Harvard Medical School, Departments of Psychiatry at Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, and San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William S Stone
- Harvard Medical School, Departments of Psychiatry at Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, and Massachusetts General Hospital, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Scott W Woods
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
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49
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Man C, Gilissen E, Michaud M. Sexual dimorphism in the cranium and endocast of the eastern lowland gorillas (Gorilla beringei graueri). J Hum Evol 2023; 184:103439. [PMID: 37804559 DOI: 10.1016/j.jhevol.2023.103439] [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: 10/14/2021] [Revised: 09/04/2023] [Accepted: 09/04/2023] [Indexed: 10/09/2023]
Abstract
Sexual dimorphism of the nervous system has been reported for a wide range of vertebrates. However, understanding of sexual dimorphism in primate cranial structures and soft tissues, and more particularly the brain, remains limited. In this study, we aimed to investigate the external and internal (i.e., endocast) cranial differences between male and female eastern lowland gorillas (Gorilla beringei graueri). We examined the differences in the size, shape, and disparity with the aim to compare how sexual dimorphism can impact these two structures distinctively, with a particular focus on the endocranium. To do so, we reconstructed gorilla external crania and endocasts from CT scans and used 3D geometric morphometric techniques combined with multivariate analyses to assess the cranial and endocranial differences between the sexes. Our results highlighted sexual dimorphism for the external cranium and endocast with regard to both size and shape. In particular, males display an elongated face accompanied by a pronounced sagittal crest and an elongated endocast along the rostroposterior axis, in contrast to females who are identified by a more rounded brain case and endocast. Males also show a significantly larger external cranium and endocast size than females. In addition, we described important differences for the posterior cranial fossae (i.e., the position of the cerebellum within the brain case) and olfactory bulb between the two sexes. Particularly, our results highlighted that, relatively to males, females have larger posterior cranial fossae, whereas males have been characterized by a larger and rostrally oriented olfactory bulb.
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Affiliation(s)
- Caitlin Man
- Laboratory of Ecology, Evolution and Biodiversity Conservation, Katholieke Universiteit Leuven, Charles Deberiotstraat 32 Bus 2439, 3000 Leuven, Belgium; Department of African Zoology, Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium.
| | - Emmanuel Gilissen
- Department of African Zoology, Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium; Laboratory of Histology and Neuropathology, Université Libre de Bruxelles, CP620 - Route de Lennik 808, 1070 Brussels, Belgium
| | - Margot Michaud
- Department of African Zoology, Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium
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50
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Li Q, Zhang T, Meng J, Wang L, Hua Q, Xie XH, Ji GJ, Bai TJ, Wang K. Abnormal hemispheric specialization and inter-hemispheric functional cooperation in generalized anxiety disorder. Behav Brain Res 2023; 455:114660. [PMID: 37690701 DOI: 10.1016/j.bbr.2023.114660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 08/19/2023] [Accepted: 09/07/2023] [Indexed: 09/12/2023]
Abstract
Abnormal hemispheric specialization and inter-hemispheric interactions may contribute to the pathogenesis of general anxiety disorder (GAD). The current study investigated these abnormalities in GAD patients based on the two analytic approaches and examined whether such abnormalities are correlated with anxiety symptom severity. Seventy-three patients with GAD and 60 matched healthy controls were recruited. All participants completed anxiety symptoms assessment and resting-state functional magnetic resonance imaging (rs-fMRI). The autonomy index (AI) and Connectivity between Functionally Homotopic voxels (CFH) were applied to measure and compared between groups. Compared to controls, patients showed stronger AI in the right middle temporal gyrus (MTG). Seed-based analysis revealed stronger functional connectivity (FC) of the right MTG with both right precuneus and right dorsolateral prefrontal cortex (dlPFC) in patients. Patients also exhibited greater CFH in right anterior cingulate cortex (ACC) but decreased CFH in bilateral postcentral gyrus (PCG) and superior occipital gyrus (SOG). Further there were significant correlations between these regional CFH and anxiety symptoms severity. GAD patients demonstrate right hemispheric specialization and aberrant inter-hemispheric functional cooperation, and abnormal inter-hemispheric coordination is associated with anxiety symptom severity. These findings provide a clue to understanding the neuropathological mechanisms of GAD.
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Affiliation(s)
- Qianqian Li
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China
| | - Ting Zhang
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Jie Meng
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Lu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Qiang Hua
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xiao-Hui Xie
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Gong-Jun Ji
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Tong-Jian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
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