1
|
Li J, Xu Y, Liu X, Yang F, Fan W. Cortical morphological alterations in cognitively normal Parkinson's disease with severe hyposmia. Brain Res 2024; 1844:149150. [PMID: 39127119 DOI: 10.1016/j.brainres.2024.149150] [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: 05/14/2024] [Revised: 07/22/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
Olfactory dysfunction is a common non-motor symptom of Parkinson's disease(PD) and may hold valuable insights into the disease's underlying pathophysiology. This study aimed to investigate cortical morphometry alterations in PD patients with severe hyposmia(PD-SH) and mild hyposmia(PD-MH) using surface-based morphometry(SBM) methods. Participants included 36 PD-SH patients, 38 PD-MH patients, and 40 healthy controls(HCs). SBM analysis revealed distinct patterns of cortical alterations in PD-SH and PD-MH patients. PD-MH patients exhibited reduced cortical thickness in the right supramarginal gyrus, while PD-SH patients showed widespread cortical thinning in regions including the bilateral pericalcarine cortex, bilateral lingual gyrus, left inferior parietal cortex, left lateral occipital cortex, right pars triangularis, right cuneus, and right superior parietal cortex. Moreover, PD-SH patients displayed reduced cortical thickness in the right precuneus compared to PD-MH patients. Fractal dimension analysis indicated increased cortical complexity in PD-MH patients' right superior temporal cortex and right supramarginal gyrus, as well as decreased complexity in the bilateral postcentral cortex, left superior parietal cortex, and right precentral cortex. Similarly, cortical gyrification index and cortical sulcal depth exhibited heterogeneous patterns of changes in PD-SH and PD-MH patients compared to HCs. These findings underscore the multifaceted nature of olfactory impairment in PD, with distinct patterns of cortical morphometry alterations associated with different degrees of hyposmia. The observed discrepancies in brain regions showing alterations reflect the complexity of PD's pathophysiology. These insights contribute to a deeper understanding of olfactory dysfunction in PD and provide potential avenues for early diagnosis and targeted interventions.
Collapse
Affiliation(s)
- Jing Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Yan Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Fan Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China.
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China.
| |
Collapse
|
2
|
Crespo Pimentel B, Kuchukhidze G, Xiao F, Caciagli L, Hoefler J, Rainer L, Kronbichler M, Vollmar C, Duncan JS, Trinka E, Koepp MJ, Wandschneider B. Quantitative MRI Measures and Cognitive Function in People With Drug-Resistant Juvenile Myoclonic Epilepsy. Neurology 2024; 103:e209802. [PMID: 39303180 DOI: 10.1212/wnl.0000000000209802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Neuroimaging studies have so far identified structural changes in individuals with juvenile myoclonic epilepsy (JME) when compared with controls. However, the underlying mechanisms of drug-resistant JME remain unknown. In this study, we aimed at characterizing the structural underpinnings of drug-resistant JME using MRI-derived cortical morphologic markers. METHODS In this prospective cross-sectional 2-center study, T1-weighted MRI and neuropsychological measures of verbal memory and executive function were obtained in individuals with drug-resistant and drug-responsive JME recruited from epilepsy outpatient clinics and healthy controls. We performed vertexwise measurements of cortical thickness, surface area, and local gyrification index (LGI). Vertexwise group comparisons were corrected for multiple comparisons at a familywise error (FWE) of 0.05. The neuropsychological profile of disease subgroups was analyzed through principal component analysis. RESULTS We studied 42 individuals with drug-resistant JME (mean age 29 ± 11 years, 50% female), 37 with drug-responsive JME (mean age 34 ± 10, years, 59% female), and 71 healthy controls (mean age 21 ± 9 years, 61% female). Surface area was increased in participants with drug-resistant JME in the left temporal lobe (Cohen d = 0.82 [-0.52 to -1.12], pFWE < 0.05) when compared with the drug-responsive group. Although no cortical thickness changes were observed between disease subgroups, drug-resistant and drug-sensitive participants showed discrete cortical thinning against controls (Cohen d = -0.42 [-0.83 to -0.01], pFWE < 0.05; Cohen d = -0.57 [-1.03 to -0.11], pFWE < 0.05, respectively). LGI was increased in the left temporal and occipital lobes in drug-resistant participants (Cohen d = 0.60 [0.34-0.86], pFWE < 0.05) when contrasting against drug-sensitive participants, but not controls. The composite executive function score was reduced in drug-resistant individuals compared with controls and drug-sensitive individuals (-1.74 [-2.58 to -0.90], p < 0.001 and -1.29 [-2.25 to -0.33], p < 0.01, respectively). Significant correlations were observed between executive function impairment and increased surface area in the precuneus and medial prefrontal regions (r = -0.79, pFWE < 0.05) in participants with drug-resistant JME. DISCUSSION We identified a developmental phenotype in individuals with drug-resistant JME characterized by changes in cortical surface area and folding complexity, the extent of which correlates with executive dysfunction. No association was observed between cortical thickness and disease severity. Our findings support a neurodevelopmental basis for drug resistance and cognitive impairment in JME.
Collapse
Affiliation(s)
- Bernardo Crespo Pimentel
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Giorgi Kuchukhidze
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Fenglai Xiao
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Lorenzo Caciagli
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Julia Hoefler
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Lucas Rainer
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Martin Kronbichler
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Christian Vollmar
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - John S Duncan
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Eugen Trinka
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Matthias J Koepp
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| | - Britta Wandschneider
- From the Department of Neurology, Neurointensive Care and Neurorehabilitation (B.C.P., G.K., J.H., L.R., E.T.), Neuroscience Institute (B.C.P., G.K., J.H., M.K., E.T.), and Department of Child and Adolescent Psychiatry (L.R.), Christian Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Austria; Department of Clinical & Experimental Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), UCL Queen Square Institute of Neurology, London; Chalfont Centre for Epilepsy (B.C.P., F.X., L.C., J.S.D., M.J.K., B.W.), Chalfont St. Peter, United Kingdom; Department of Neurology (L.C.), Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Switzerland; Department of Psychology (M.K.), University of Salzburg, Austria; Department of Neurology (C.V.), Epilepsy Center, University Hospital of the Ludwig-Maximilians-University of Munich, Germany; Department of Public Health, Health Services Research and Health Technology Assessment (E.T.), UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol; and Karl Landsteiner Institute for Neurorehabilitation and Space Neurology (E.T.), Salzburg, Austria
| |
Collapse
|
3
|
Najafzadeh M, Saeeidian‐Mehr A, Akbari‐Lalimi H, Ganji Z, Nasseri S, Zare H, Ferini‐Strambi L. Surface-Based Morphometry Analysis of the Cerebral Cortex in Patients With Probable Idiopathic Rapid Eye Movement Sleep Behavior Disorder. Brain Behav 2024; 14:e70057. [PMID: 39344375 PMCID: PMC11440017 DOI: 10.1002/brb3.70057] [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: 04/29/2024] [Revised: 07/19/2024] [Accepted: 08/30/2024] [Indexed: 10/01/2024] Open
Abstract
INTRODUCTION Strong indications support the notion that idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) acts as a precursor to multiple α-synucleinopathies, including Parkinson's disease and dementia with Lewy bodies. Despite numerous investigations into the alterations in cortical thickness and the volume of subcortical areas associated with this condition, comprehensive studies on the cortical surface morphology, focusing on gyrification and sulcal depth changes, are scarce. The purpose of this research was to explore the cortical surface morphology in individuals with probable iRBD (piRBD), to pinpoint early-phase diagnostic markers. METHODS This study included 30 piRBD patients confirmed using the RBD Screening Questionnaire (RBDSQ) and 33 control individuals selected from the Parkinson's Progression Markers Initiative (PPMI) database. They underwent neurophysiological tests and MRI scans. The FreeSurfer software was utilized to estimate cortical thickness (CTH), cortical and subcortical volumetry, local gyrification index (LGI), and sulcus depth (SD). Subsequently, these parameters were compared between the two groups. Additionally, linear correlation analysis was employed to estimate the relationship between brain morphological parameters and clinical parameters. RESULTS Compared to the healthy control (HC), piRBD patients exhibited a significant reduction in CTH, LGI, and cortical volume in the bilateral superior parietal, lateral occipital, orbitofrontal, temporo-occipital, bilateral rostral middle frontal, inferior parietal, and precentral brain regions. Moreover, a significant and notable correlation was observed between CTH and Geriatric Depression Scale (GDS), letter-number sequencing (LTNS), the Benton Judgment of Line Orientation (BJLO) test, and the symbol digit modalities test (SDMT) in several brain regions encompassing the motor cortex. CONCLUSION Patients with piRBD displayed widespread atrophy in various brain regions, predominantly covering the motor and sensory cortex. Furthermore, LGI could serve as a prognostic biomarker of disease's progression in piRBD.
Collapse
Affiliation(s)
- Milad Najafzadeh
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Athareh Saeeidian‐Mehr
- Department of Radiology, Faculty of Para‐MedicineHormozgan University of Medical SciencesBandar AbbasIran
| | - Hossein Akbari‐Lalimi
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Zohre Ganji
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Shahrokh Nasseri
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Hoda Zare
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Luigi Ferini‐Strambi
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Sleep Disorders CenterSan Raffaele Scientific InstituteMilanItaly
| |
Collapse
|
4
|
Wang Y, Leiberg K, Kindred N, Madan CR, Poirier C, Petkov CI, Taylor PN, Mota B. Neuro-evolutionary evidence for a universal fractal primate brain shape. eLife 2024; 12:RP92080. [PMID: 39347569 PMCID: PMC11441977 DOI: 10.7554/elife.92080] [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] [Indexed: 10/01/2024] Open
Abstract
The cerebral cortex displays a bewildering diversity of shapes and sizes across and within species. Despite this diversity, we present a universal multi-scale description of primate cortices. We show that all cortical shapes can be described as a set of nested folds of different sizes. As neighbouring folds are gradually merged, the cortices of 11 primate species follow a common scale-free morphometric trajectory, that also overlaps with over 70 other mammalian species. Our results indicate that all cerebral cortices are approximations of the same archetypal fractal shape with a fractal dimension of df = 2.5. Importantly, this new understanding enables a more precise quantification of brain morphology as a function of scale. To demonstrate the importance of this new understanding, we show a scale-dependent effect of ageing on brain morphology. We observe a more than fourfold increase in effect size (from two standard deviations to eight standard deviations) at a spatial scale of approximately 2 mm compared to standard morphological analyses. Our new understanding may, therefore, generate superior biomarkers for a range of conditions in the future.
Collapse
Affiliation(s)
- Yujiang Wang
- CNNP Lab (https://www.cnnp-lab.com), School of Computing, Newcastle UniversityNewcastle upon TyneUnited Kingdom
- Faculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUnited Kingdom
- UCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Karoline Leiberg
- CNNP Lab (https://www.cnnp-lab.com), School of Computing, Newcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Nathan Kindred
- Faculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUnited Kingdom
| | | | - Colline Poirier
- Faculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Christopher I Petkov
- Faculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUnited Kingdom
- Department of Neurosurgery, University of IowaDes MoinesUnited States
| | - Peter Neal Taylor
- CNNP Lab (https://www.cnnp-lab.com), School of Computing, Newcastle UniversityNewcastle upon TyneUnited Kingdom
- Faculty of Medical Sciences, Newcastle UniversityNewcastle upon TyneUnited Kingdom
- UCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Bruno Mota
- metaBIO Lab, Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ)Rio de JaneiroBrazil
| |
Collapse
|
5
|
Núñez C, Stephan-Otto C, Roldán A, Grasa EM, Escartí MJ, Aguilar García-Iturrospe EJ, García-Martí G, de la Iglesia-Vaya M, Nacher J, Portella MJ, Corripio I. Orbitofrontal cortex hypergyrification in hallucinating schizophrenia patients: Surface ratio as a promising brain biomarker. Eur Neuropsychopharmacol 2024; 89:47-55. [PMID: 39341083 DOI: 10.1016/j.euroneuro.2024.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/13/2024] [Accepted: 09/17/2024] [Indexed: 09/30/2024]
Abstract
The study of brain gyrification may provide useful information on the cytoarchitecture and connectivity of the brain. One of the methods that have been developed to estimate brain gyrification, known as surface ratio (SR), has not yet been studied in schizophrenia. Here we aimed to assess whether SR could provide new insights on the brain structure of schizophrenia patients and the severity of symptoms. We also computed a more established brain gyrification measure, namely absolute mean curvature (AMC). We analyzed 63 magnetic resonance images, 25 from schizophrenia patients with treatment-resistant auditory verbal hallucinations (SCH-H), 18 from schizophrenia patients without hallucinations (SCH-NH), and 20 from healthy controls (HC). The SR measure revealed that SCH-H patients had a more folded orbitofrontal cortex than SCH-NH patients and HC. Gyrification in this region was also negatively associated with positive symptoms, specifically with the delusions and conceptual disorganization items, only in the SCH-H group. Regarding the AMC measure, we identified two areas where HC showed more gyrification than SCH-H patients, but no relationships arose with symptoms. The hypergyrification of the orbitofrontal cortex displayed by SCH-H patients, as captured by the SR measure, suggests aberrant and/or excessive wiring in these patients, which in turn could give rise to auditory verbal hallucinations. Alternatively, we comment on potential compensatory mechanisms that may better explain the negative association between orbitofrontal gyrification and positive symptomatology. The SR measure captured the most relevant differences and associations, making it a promising biomarker in schizophrenia.
Collapse
Affiliation(s)
- Christian Núñez
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Christian Stephan-Otto
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain; CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Pediatric Computational Imaging Group (PeCIC), Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Alexandra Roldán
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Psychiatry Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
| | - Eva Mª Grasa
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain
| | - Mª José Escartí
- CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University CEU-UCH, Valencia, Spain
| | - Eduardo J Aguilar García-Iturrospe
- CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University CEU-UCH, Valencia, Spain
| | - Gracián García-Martí
- CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Biomedical Engineering Unit / Radiology Department, Quirónsalud Hospital, Valencia, Spain
| | - Maria de la Iglesia-Vaya
- CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Joint unit in Biomedical Imaging FISABIO-CIPF, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Valencia, Spain
| | - Juan Nacher
- CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Neuroplasticity Unit, Institute of Biotechnology and Biomedicine, Universitat de València, Valencia, Spain
| | - Maria J Portella
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Iluminada Corripio
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBERSAM, ISCIII, Spanish National Network for Research in Mental Health, Madrid, Spain; Psychiatry Department, Hospital Consortium of Vic, Barcelona, Spain; Institute of Health Research and Innovation at Central Catalonia (IRIS-CC). Central University of Catalonia (UVic-UCC), Barcelona, Spain
| |
Collapse
|
6
|
Rychagov N, Del Re EC, Zeng V, Oykhman E, Lizano P, McDowell J, Yassin W, Clementz BA, Gershon E, Pearlson G, Sweeney JA, Tamminga CA, Keshavan MS. Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study. Schizophr Res 2024; 271:169-178. [PMID: 39032429 PMCID: PMC11384321 DOI: 10.1016/j.schres.2024.07.009] [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: 04/24/2024] [Revised: 06/18/2024] [Accepted: 07/03/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND The profiles of cortical gyrification across schizophrenia, bipolar I disorder, and schizoaffective disorder have been studied to a limited extent, report discordant findings, and are rarely compared in the same study. Here we assess gyrification in a large dataset of psychotic disorder probands, categorized according to the DSM-IV. Furthermore, we explore gyrification changes with age across healthy controls and probands. METHODS Participants were recruited within the Bipolar-Schizophrenia Network of Intermediate Phenotypes study and received T1-MPRAGE and clinical assessment. Gyrification was measured using FreeSurfer 7.1.0. Pairwise t-tests were conducted in R, and age-related gyrification changes were analyzed in MATLAB. P values <0.05 after false discovery rate correction were considered significant. RESULTS Significant hypogyria in schizophrenia, bipolar disorder, and schizoaffective disorder probands compared to controls was found, with a significant difference bilaterally in the frontal lobe between schizophrenia and bipolar disorder probands. Verbal memory was associated with gyrification in the right frontal and right cingulate cortex in schizophrenia. Age-fitted gyrification curves differed significantly among psychotic disorders and controls. CONCLUSIONS Findings indicate hypogyria in DSM-IV psychotic disorders compared to controls and suggest differential patterns of gyrification across the different diagnoses. The study extends age related models of gyrification to psychotic disorder probands and supports that age-related differences in gyrification may differ across diagnoses. Fitted gyrification curves among probands categorized by DSM-IV significantly deviate from controls, with the model capturing early hypergyria and later hypogyria in schizophrenia compared to controls; this suggests unique disease and age-related changes in gyrification across psychotic disorders.
Collapse
Affiliation(s)
- Nicole Rychagov
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America
| | - Elisabetta C Del Re
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America; VA Boston HealthCare System, United States of America.
| | - Victor Zeng
- Beth Israel Deaconess Medical Center, United States of America
| | - Efim Oykhman
- Beth Israel Deaconess Medical Center, United States of America
| | - Paulo Lizano
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
| | | | - Walid Yassin
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
| | | | | | | | | | - Carol A Tamminga
- University of Texas Southwestern Medical Center, United States of America
| | - Matcheri S Keshavan
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
| |
Collapse
|
7
|
Saglam Y, Ermis C, Takir S, Oz A, Hamid R, Kose H, Bas A, Karacetin G. The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder. Acad Radiol 2024; 31:3597-3604. [PMID: 38704285 DOI: 10.1016/j.acra.2024.04.013] [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: 12/10/2023] [Revised: 02/25/2024] [Accepted: 04/11/2024] [Indexed: 05/06/2024]
Abstract
RATIONALE AND OBJECTIVES To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes using machine learning (ML) algorithms. METHOD High-resolution T1-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulcal depth (SD), fractal dimension (FD), and brain volumes. After the feature selection step, ML classifiers were applied for each feature set and the combination of them. The SHapley Additive exPlanations (SHAP) technique was implemented to interpret the contribution of each feature. FINDINGS 144 adolescents (16.2 ± 1.4 years, female=39%) with EOS (n = 81) and EBD (n = 63) were included. The Adaptive Boosting (AdaBoost) algorithm had the highest accuracy (82.75%) in the whole dataset that includes all variables from Destrieux atlas. The best-performing algorithms were K-nearest neighbors (KNN) for FD subset, support vector machine (SVM) for SD subset, and AdaBoost for GI subset. The KNN algorithm had the highest accuracy (accuracy=79.31%) in the whole dataset from the Desikan-Killiany-Tourville atlas. CONCLUSION This study demonstrates the use of ML in the differential diagnosis of EOS and EBD using surface-based morphometry measurements. Future studies could focus on multicenter data for the validation of these results.
Collapse
Affiliation(s)
- Yesim Saglam
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey.
| | - Cagatay Ermis
- Queen Silvia Children's Hospital, Department of Child Psychiatry, Gothenburg, Sweden
| | - Seyma Takir
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Oz
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Rauf Hamid
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hatice Kose
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Bas
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gul Karacetin
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| |
Collapse
|
8
|
Bernardoni F, Tam F, Poitz DM, Hellerhoff I, Arold D, Geisler D, Lemme F, Keeler J, Weidner K, Pariante C, Roessner V, King JA, Ehrlich S. Effect of serum concentrations of IL-6 and TNF-α on brain structure in anorexia nervosa: a combined cross-sectional and longitudinal study. Neuropsychopharmacology 2024; 49:1509-1517. [PMID: 38461330 PMCID: PMC11319803 DOI: 10.1038/s41386-024-01836-z] [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: 10/16/2023] [Revised: 02/10/2024] [Accepted: 02/19/2024] [Indexed: 03/11/2024]
Abstract
Previous studies of brain structure in anorexia nervosa (AN) have reported reduced gray matter in underweight patients, which largely normalizes upon weight gain. One underlying biological mechanism may be glial cell alterations related to low-grade inflammation. Here, we investigated relationships between brain structure as measured by magnetic resonance imaging and serum concentrations of two pro-inflammatory cytokines (interleukin-6 and tumor necrosis factor alpha) cross-sectionally in 82 underweight adolescent and young adult female patients (mean age 16.8 years; 59 of whom were observed longitudinally after short-term weight restoration; mean duration 2.8 months), 20 individuals long-term weight-recovered from AN (mean age 22.7 years) and 105 healthy control (HC) participants (mean age 17.2 years). We measured cortical thickness, subcortical volumes and local gyrification index, a measure of cortical folding. In contrast to most previous studies of cytokine concentrations in AN, we found no cross-sectional group differences (interleukin-6: p = 0.193, tumor necrosis factor alpha: p = 0.057) or longitudinal changes following weight restoration (interleukin-6: p = 0.201, tumor necrosis factor alpha: p = 0.772). As expected, widespread gray matter reductions (cortical thickness, subcortical volumes, cortical folding) were observed in underweight patients with AN compared to HC. However, we found no evidence of associations between cytokine concentrations and structural brain measures in any participant group. Furthermore, longitudinal changes in cytokine concentrations were unrelated to changes in gray matter. In conclusion, we did not identify any association between (sub-)inflammatory processes and structural brain changes in AN. Future studies are needed to elucidate which other factors besides nutritional status may contribute to brain morphological alterations.
Collapse
Affiliation(s)
- Fabio Bernardoni
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Friederike Tam
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Eating Disorder Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - David M Poitz
- University Hospital Carl Gustav Carus, Institute of Clinical Chemistry and Laboratory Medicine, Technische Universität Dresden, Dresden, Germany
| | - Inger Hellerhoff
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Eating Disorder Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Dominic Arold
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Daniel Geisler
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Frances Lemme
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Johanna Keeler
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Kerstin Weidner
- Department of Psychotherapy and Psychosomatic Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Carmine Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Joseph A King
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
- Eating Disorder Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
| |
Collapse
|
9
|
Gan C, Cao X, Sun H, Ye S, Shi J, Shan A, Gao M, Wan C, Zhang K, Yuan Y. Multimodal neuroimaging fusion unravel structural-functional-neurotransmitter change in Parkinson's disease with impulse control disorders. Neurobiol Dis 2024; 198:106560. [PMID: 38852751 DOI: 10.1016/j.nbd.2024.106560] [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: 02/05/2024] [Revised: 05/25/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Impulse control disorders (ICD) in Parkinson's disease (PD) is highly multifactorial in etiology and has intricate neural mechanisms. Our multimodal neuroimaging study aimed to investigate the specific patterns of structure-function-neurotransmitter interactions underlying ICD. METHODS Thirty PD patients with ICD (PD-ICD), 30 without ICD (PD-NICD) and 32 healthy controls (HCs) were recruited. Gyrification and perivascular spaces (PVS) were computed to capture the alternations of cortical surface morphology and glymphatic function. Seed-based functional connectivity (FC) were performed to identify the corresponding functional changes. Further, JuSpace toolbox were employed for cross-modal correlations to evaluate whether the spatial patterns of functional alterations in ICD patients were associated with specific neurotransmitter system. RESULTS Compared to PD-NICD, PD-ICD patients showed hypogyrification and enlarged PVS volume fraction in the left orbitofrontal gyrus (OFG), as well as decreased FC between interhemispheric OFG. The interhemispheric OFG connectivity reduction was associated with spatial distribution of μ-opioid pathway (r = -0.186, p = 0.029, false discovery rate corrected). ICD severity was positively associated with the PVS volume fraction of left OFG (r = 0.422, p = 0.032). Furthermore, gyrification index (LGI) and percent PVS (pPVS) in OFG and their combined indicator showed good performance in differentiating PD-ICD from PD-NICD. CONCLUSIONS Our findings indicated that the co-altered structure-function-neurotransmitter interactions of OFG might be involved in the pathogenesis of ICD.
Collapse
Affiliation(s)
- Caiting Gan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xingyue Cao
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Huimin Sun
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shiyi Ye
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jiaxin Shi
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Aidi Shan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Mengxi Gao
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Chenhui Wan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Kezhong Zhang
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Yongsheng Yuan
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing 211166, China.
| |
Collapse
|
10
|
Qi T, Mandelli ML, Pereira CLW, Wellman E, Bogley R, Licata AE, Chang EF, Oganian Y, Gorno-Tempini ML. Anatomical and behavioral correlates of auditory perception in developmental dyslexia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.09.539936. [PMID: 37214875 PMCID: PMC10197694 DOI: 10.1101/2023.05.09.539936] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Developmental dyslexia is typically associated with difficulties in basic auditory processing and in manipulating speech sounds. However, the neuroanatomical correlates of auditory difficulties in developmental dyslexia (DD) and their contribution to individual clinical phenotypes are still unknown. Recent intracranial electrocorticography findings associated processing of sound amplitude rises and speech sounds with posterior and middle superior temporal gyrus (STG), respectively. We hypothesize that regional STG anatomy will relate to specific auditory abilities in DD, and that auditory processing abilities will relate to behavioral difficulties with speech and reading. One hundred and ten children (78 DD, 32 typically developing, age 7-15 years) completed amplitude rise time and speech in noise discrimination tasks. They also underwent a battery of cognitive tests. Anatomical MRI scans were used to identify regions in which local cortical gyrification complexity correlated with auditory behavior. Behaviorally, amplitude rise time but not speech in noise performance was impaired in DD. Neurally, amplitude rise time and speech in noise performance correlated with gyrification in posterior and middle STG, respectively. Furthermore, amplitude rise time significantly contributed to reading impairments in DD, while speech in noise only explained variance in phonological awareness. Finally, amplitude rise time and speech in noise performance were not correlated, and each task was correlated with distinct neuropsychological measures, emphasizing their unique contributions to DD. Overall, we provide a direct link between the neurodevelopment of the left STG and individual variability in auditory processing abilities in neurotypical and dyslexic populations.
Collapse
|
11
|
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.
Collapse
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
| |
Collapse
|
12
|
Taubert M, Ziegler G, Lehmann N. Higher surface folding of the human premotor cortex is associated with better long-term learning capability. Commun Biol 2024; 7:635. [PMID: 38796622 PMCID: PMC11127997 DOI: 10.1038/s42003-024-06309-z] [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: 09/21/2023] [Accepted: 05/08/2024] [Indexed: 05/28/2024] Open
Abstract
The capacity to learn enabled the human species to adapt to various challenging environmental conditions and pass important achievements on to the next generation. A growing body of research suggests links between neocortical folding properties and numerous aspects of human behavior, but their impact on enhanced human learning capacity remains unexplored. Here we leverage three training cohorts to demonstrate that higher levels of premotor cortical folding reliably predict individual long-term learning gains in a challenging new motor task, above and beyond initial performance differences. Individual folding-related predisposition to motor learning was found to be independent of cortical thickness and intracortical microstructure, but dependent on larger cortical surface area in premotor regions. We further show that learning-relevant features of cortical folding occurred in close spatial proximity to practice-induced structural brain plasticity. Our results suggest a link between neocortical surface folding and human behavioral adaptability.
Collapse
Affiliation(s)
- Marco Taubert
- Department of Sport Science, Institute III, Faculty of Humanities, Otto von Guericke University, Zschokkestraße 32, 39104, Magdeburg, Germany.
- Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Universitätsplatz 2, 39106, Magdeburg, Germany.
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Gabriel Ziegler
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
- Germany German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Nico Lehmann
- Department of Sport Science, Institute III, Faculty of Humanities, Otto von Guericke University, Zschokkestraße 32, 39104, Magdeburg, Germany
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103, Leipzig, Germany
| |
Collapse
|
13
|
Kwon H, You S, Yun HJ, Jeong S, De León Barba AP, Lemus Aguilar ME, Vergara PJ, Davila SU, Grant PE, Lee JM, Im K. The role of cortical structural variance in deep learning-based prediction of fetal brain age. Front Neurosci 2024; 18:1411334. [PMID: 38846713 PMCID: PMC11153753 DOI: 10.3389/fnins.2024.1411334] [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: 04/02/2024] [Accepted: 05/10/2024] [Indexed: 06/09/2024] Open
Abstract
Background Deep-learning-based brain age estimation using magnetic resonance imaging data has been proposed to identify abnormalities in brain development and the risk of adverse developmental outcomes in the fetal brain. Although saliency and attention activation maps have been used to understand the contribution of different brain regions in determining brain age, there has been no attempt to explain the influence of shape-related cortical structural features on the variance of predicted fetal brain age. Methods We examined the association between the predicted brain age difference (PAD: predicted brain age-chronological age) from our convolution neural networks-based model and global and regional cortical structural measures, such as cortical volume, surface area, curvature, gyrification index, and folding depth, using regression analysis. Results Our results showed that global brain volume and surface area were positively correlated with PAD. Additionally, higher cortical surface curvature and folding depth led to a significant increase in PAD in specific regions, including the perisylvian areas, where dramatic agerelated changes in folding structures were observed in the late second trimester. Furthermore, PAD decreased with disorganized sulcal area patterns, suggesting that the interrelated arrangement and areal patterning of the sulcal folds also significantly affected the prediction of fetal brain age. Conclusion These results allow us to better understand the variance in deep learning-based fetal brain age and provide insight into the mechanism of the fetal brain age prediction model.
Collapse
Affiliation(s)
- Hyeokjin Kwon
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
| | - Sungmin You
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA, United States
| | - Hyuk Jin Yun
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Seungyoon Jeong
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA, United States
| | - Anette Paulina De León Barba
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
| | | | - Pablo Jaquez Vergara
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
| | - Sofia Urosa Davila
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
| | - P. Ellen Grant
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| | - Jong-Min Lee
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
- Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea
- Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea
| | - Kiho Im
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States
- Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
14
|
Kim HJ, Bang M, Pae C, Lee SH. Multimodal neural correlates of dispositional resilience among healthy individuals. Sci Rep 2024; 14:9875. [PMID: 38684873 PMCID: PMC11059361 DOI: 10.1038/s41598-024-60619-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/25/2024] [Indexed: 05/02/2024] Open
Abstract
Resilient individuals are less likely to develop psychiatric disorders despite extreme psychological distress. This study investigated the multimodal structural neural correlates of dispositional resilience among healthy individuals. Participants included 92 healthy individuals. The Korean version of the Connor-Davidson Resilience Scale and other psychological measures were used. Gray matter volumes (GMVs), cortical thickness, local gyrification index (LGI), and white matter (WM) microstructures were analyzed using voxel-based morphometry, FreeSurfer, and tract-based spatial statistics, respectively. Higher resilient individuals showed significantly higher GMVs in the inferior frontal gyrus (IFG), increased LGI in the insula, and lower fractional anisotropy values in the superior longitudinal fasciculus II (SLF II). These resilience's neural correlates were associated with good quality of life in physical functioning or general health and low levels of depression. Therefore, the GMVs in the IFG, LGI in the insula, and WM microstructures in the SLF II can be associated with resilience that contributes to emotional regulation, empathy, and social cognition.
Collapse
Affiliation(s)
- Hyun-Ju Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea
| | - Chongwon Pae
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea.
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-712, Republic of Korea.
| |
Collapse
|
15
|
Zhang S, Chen D, Sun H, Kemp GJ, Chen Y, Tan Q, Yang Y, Gong Q, Yue Q. Whole brain morphologic features improve the predictive accuracy of IDH status and VEGF expression levels in gliomas. Cereb Cortex 2024; 34:bhae151. [PMID: 38642107 DOI: 10.1093/cercor/bhae151] [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: 01/11/2024] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/22/2024] Open
Abstract
Glioma is a systemic disease that can induce micro and macro alternations of whole brain. Isocitrate dehydrogenase and vascular endothelial growth factor are proven prognostic markers and antiangiogenic therapy targets in glioma. The aim of this study was to determine the ability of whole brain morphologic features and radiomics to predict isocitrate dehydrogenase status and vascular endothelial growth factor expression levels. This study recruited 80 glioma patients with isocitrate dehydrogenase wildtype and high vascular endothelial growth factor expression levels, and 102 patients with isocitrate dehydrogenase mutation and low vascular endothelial growth factor expression levels. Virtual brain grafting, combined with Freesurfer, was used to compute morphologic features including cortical thickness, LGI, and subcortical volume in glioma patient. Radiomics features were extracted from multiregional tumor. Pycaret was used to construct the machine learning pipeline. Among the radiomics models, the whole tumor model achieved the best performance (accuracy 0.80, Area Under the Curve 0.86), while, after incorporating whole brain morphologic features, the model had a superior predictive performance (accuracy 0.82, Area Under the Curve 0.88). The features contributed most in predicting model including the right caudate volume, left middle temporal cortical thickness, first-order statistics, shape, and gray-level cooccurrence matrix. Pycaret, based on morphologic features, combined with radiomics, yielded highest accuracy in predicting isocitrate dehydrogenase mutation and vascular endothelial growth factor levels, indicating that morphologic abnormalities induced by glioma were associated with tumor biology.
Collapse
Affiliation(s)
- Simin Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
| | - Di Chen
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 7ZX, United Kingdom
| | - Yinying Chen
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Qiaoyue Tan
- Division of Radiation Physics, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuan Yang
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Qiyong Gong
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Sichuan 610041, China
| | - Qiang Yue
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| |
Collapse
|
16
|
Cao C, Li Y, Hu F, Gao X. Modeling refined differences of cortical folding patterns via spatial, morphological, and temporal fusion representations. Cereb Cortex 2024; 34:bhae146. [PMID: 38602743 DOI: 10.1093/cercor/bhae146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/12/2024] Open
Abstract
The gyrus, a pivotal cortical folding pattern, is essential for integrating brain structure-function. This study focuses on 2-Hinge and 3-Hinge folds, characterized by the gyral convergence from various directions. Existing voxel-level studies may not adequately capture the precise spatial relationships within cortical folding patterns, especially when relying solely on local cortical characteristics due to their variable shapes and homogeneous frequency-specific features. To overcome these challenges, we introduced a novel model that combines spatial distribution, morphological structure, and functional magnetic resonance imaging data. We utilized spatio-morphological residual representations to enhance and extract subtle variations in cortical spatial distribution and morphological structure during blood oxygenation, integrating these with functional magnetic resonance imaging embeddings using self-attention for spatio-morphological-temporal representations. Testing these representations for identifying cortical folding patterns, including sulci, gyri, 2-Hinge, and 2-Hinge folds, and evaluating the impact of phenotypic data (e.g. stimulus) on recognition, our experimental results demonstrate the model's superior performance, revealing significant differences in cortical folding patterns under various stimulus. These differences are also evident in the characteristics of sulci and gyri folds between genders, with 3-Hinge showing more variations. Our findings indicate that our representations of cortical folding patterns could serve as biomarkers for understanding brain structure-function correlations.
Collapse
Affiliation(s)
- Chunhong Cao
- The MOE Key Laboratory of Intelligent Computing and Information Processing, Xiangtan University, 411005 Xiangtan, China
| | - Yongquan Li
- The MOE Key Laboratory of Intelligent Computing and Information Processing, Xiangtan University, 411005 Xiangtan, China
| | - Fang Hu
- The Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University, 423043 Chenzhou, China
| | - Xieping Gao
- The Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, 410081 Changsha, China
| |
Collapse
|
17
|
Blenkmann AO, Leske SL, Llorens A, Lin JJ, Chang EF, Brunner P, Schalk G, Ivanovic J, Larsson PG, Knight RT, Endestad T, Solbakk AK. Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods. J Neurosci Methods 2024; 404:110056. [PMID: 38224783 DOI: 10.1016/j.jneumeth.2024.110056] [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: 05/23/2023] [Revised: 11/27/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND Intracranial electrodes are typically localized from post-implantation CT artifacts. Automatic algorithms localizing low signal-to-noise ratio artifacts and high-density electrode arrays are missing. Additionally, implantation of grids/strips introduces brain deformations, resulting in registration errors when fusing post-implantation CT and pre-implantation MR images. Brain-shift compensation methods project electrode coordinates to cortex, but either fail to produce smooth solutions or do not account for brain deformations. NEW METHODS We first introduce GridFit, a model-based fitting approach that simultaneously localizes all electrodes' CT artifacts in grids, strips, or depth arrays. Second, we present CEPA, a brain-shift compensation algorithm combining orthogonal-based projections, spring-mesh models, and spatial regularization constraints. RESULTS We tested GridFit on ∼6000 simulated scenarios. The localization of CT artifacts showed robust performance under difficult scenarios, such as noise, overlaps, and high-density implants (<1 mm errors). Validation with data from 20 challenging patients showed 99% accurate localization of the electrodes (3160/3192). We tested CEPA brain-shift compensation with data from 15 patients. Projections accounted for simple mechanical deformation principles with < 0.4 mm errors. The inter-electrode distances smoothly changed across neighbor electrodes, while changes in inter-electrode distances linearly increased with projection distance. COMPARISON WITH EXISTING METHODS GridFit succeeded in difficult scenarios that challenged available methods and outperformed visual localization by preserving the inter-electrode distance. CEPA registration errors were smaller than those obtained for well-established alternatives. Additionally, modeling resting-state high-frequency activity in five patients further supported CEPA. CONCLUSION GridFit and CEPA are versatile tools for registering intracranial electrode coordinates, providing highly accurate results even in the most challenging implantation scenarios. The methods are implemented in the iElectrodes open-source toolbox.
Collapse
Affiliation(s)
- Alejandro Omar Blenkmann
- Department of Psychology, University of Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, Norway.
| | - Sabine Liliana Leske
- Department of Musicology, University of Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, Norway; Department of Neuropsychology, Helgeland Hospital, Mosjøen, Norway
| | - Anaïs Llorens
- Department of Psychology, University of Oslo, Norway; Department of Psychology and the Helen Wills Neuroscience Institute, University of California, Berkeley, USA; Université de Franche-Comté, SUPMICROTECH, CNRS, Institut FEMTO-ST, 25000 Besançon, France; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team TURC, 75014 Paris, France
| | - Jack J Lin
- Department of Neurology and Center for Mind and Brain, University of California, Davis, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, USA
| | - Peter Brunner
- Department of Neurology, Albany Medical College, Albany, NY, USA; National Center for Adaptive Neurotechnologies, Albany, NY, USA; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Gerwin Schalk
- Department of Neurology, Albany Medical College, Albany, NY, USA; National Center for Adaptive Neurotechnologies, Albany, NY, USA; Tianqiao and Chrissy Chen Institute, Chen Frontier Lab for Applied Neurotechnology, Shanghai, China; Fudan University/Huashan Hospital, Department of Neurosurgery, Shanghai, China
| | | | | | - Robert Thomas Knight
- Department of Psychology and the Helen Wills Neuroscience Institute, University of California, Berkeley, USA
| | - Tor Endestad
- Department of Psychology, University of Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, Norway; Department of Neuropsychology, Helgeland Hospital, Mosjøen, Norway
| | - Anne-Kristin Solbakk
- Department of Psychology, University of Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, Norway; Department of Neurosurgery, Oslo University Hospital, Norway; Department of Neuropsychology, Helgeland Hospital, Mosjøen, Norway
| |
Collapse
|
18
|
Kumar U, Dhanik K, Pandey HR, Mishra M, Keshri A. Neurotopographical Transformations: Dissecting Cortical Reconfigurations in Auditory Deprivation. J Neurosci 2024; 44:e1649232024. [PMID: 38383498 PMCID: PMC10977024 DOI: 10.1523/jneurosci.1649-23.2024] [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: 09/01/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024] Open
Abstract
Within the intricate matrices of cognitive neuroscience, auditory deprivation acts as a catalyst, propelling a cascade of neuroanatomical adjustments that have, until now, been suboptimally articulated in extant literature. Addressing this gap, our study harnesses high-resolution 3 T MRI modalities to unveil the multifaceted cortical transformations that emerge in tandem with congenital auditory deficits. We conducted a rigorous cortical surface analysis on a cohort of 90 congenitally deaf individuals, systematically compared with 90 normoacoustic controls. Our sample encompassed both male and female participants, ensuring a gender-inclusive perspective in our analysis. Expected alterations within prototypical auditory domains were evident, but our findings transcended these regions, spotlighting modifications dispersed across a gamut of cortical and subcortical structures, thereby epitomizing the cerebral adaptive dynamics to sensory voids. Crucially, the study's innovative methodology integrated two pivotal variables: the duration of auditory deprivation and the extent of sign language immersion. By intersecting these metrics with structural changes, our analysis unveiled nuanced layers of cortical reconfigurations, elucidating a more granulated understanding of neural plasticity. This intersectional approach bestows a unique advantage, allowing for a discerning exploration into how varying durations of sensory experience and alternative communication modalities modulate the brain's morphological terrain. In encapsulating the synergy of neuroimaging finesse and incisive scientific rigor, this research not only broadens the current understanding of adaptive neural mechanisms but also paves the way for tailored therapeutic strategies, finely attuned to individual auditory histories and communicative repertoires.
Collapse
Affiliation(s)
- Uttam Kumar
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow 226014, India
| | - Kalpana Dhanik
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow 226014, India
| | - Himanshu R Pandey
- Centre of Bio-Medical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow 226014, India
| | - Mrutyunjaya Mishra
- Department of Special Education (Hearing Impairments), Dr. Shakuntala Misra National Rehabilitation University, Lucknow 226017, India
| | - Amit Keshri
- Department of Neuro-otology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India
| |
Collapse
|
19
|
de Moraes FHP, Sudo F, Carneiro Monteiro M, de Melo BRP, Mattos P, Mota B, Tovar-Moll F. Cortical folding correlates to aging and Alzheimer's Disease's cognitive and CSF biomarkers. Sci Rep 2024; 14:3222. [PMID: 38332140 PMCID: PMC10853184 DOI: 10.1038/s41598-023-50780-3] [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: 08/29/2023] [Accepted: 12/25/2023] [Indexed: 02/10/2024] Open
Abstract
This manuscript presents the quantification and correlation of three aspects of Alzheimer's Disease evolution, including structural, biochemical, and cognitive assessments. We aimed to test a novel structural biomarker for neurodegeneration based on a cortical folding model for mammals. Our central hypothesis is that the cortical folding variable, representative of axonal tension in white matter, is an optimal discriminator of pathological aging and correlates with altered loadings in Cerebrospinal Fluid samples and a decline in cognition and memory. We extracted morphological features from T1w 3T MRI acquisitions using FreeSurfer from 77 Healthy Controls (age = 66 ± 8.4, 69% females), 31 Mild Cognitive Impairment (age = 72 ± 4.8, 61% females), and 13 Alzheimer's Disease patients (age = 77 ± 6.1, 62% females) of recruited volunteers in Brazil to test its discriminative power using optimal cut-point analysis. Cortical folding distinguishes the groups with reasonable accuracy (Healthy Control-Alzheimer's Disease, accuracy = 0.82; Healthy Control-Mild Cognitive Impairment, accuracy = 0.56). Moreover, Cerebrospinal Fluid biomarkers (total Tau, A[Formula: see text]1-40, A[Formula: see text]1-42, and Lipoxin) and cognitive scores (Cognitive Index, Rey's Auditory Verbal Learning Test, Trail Making Test, Digit Span Backward) were correlated with the global neurodegeneration in MRI aiming to describe health, disease, and the transition between the two states using morphology.
Collapse
Affiliation(s)
- Fernanda Hansen P de Moraes
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Felipe Sudo
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Marina Carneiro Monteiro
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno R P de Melo
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Paulo Mattos
- Memory Clinic, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil
| | - Bruno Mota
- Instituto de Física, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, 21941-909, Brazil
| | - Fernanda Tovar-Moll
- Brain Connectivity Unit, D'Or Institute of Research and Education (IDOR), Rio de Janeiro, 225281-100, Brazil.
| |
Collapse
|
20
|
Jiang Y, Gao Y, Dong D, Sun X, Situ W, Yao S. Brain Anatomy in Boys with Conduct Disorder: Differences Among Aggression Subtypes. Child Psychiatry Hum Dev 2024; 55:3-13. [PMID: 35704134 DOI: 10.1007/s10578-022-01360-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/01/2022] [Indexed: 11/03/2022]
Abstract
Aggression is a core feature of conduct disorder (CD), but the motivation, execution of aggression may vary. A deeper understanding of the neural substrates of aggressive behaviours is critical for effective clinical intervention. Seventy-six Boys with CD (50 with impulsive aggression (I-CD) and 26 with premeditated aggression (P-CD)) and 69 healthy controls (HCs) underwent a structural MRI scan and behavioural assessments. Whole-brain analyses revealed that, compared to HCs, the I-CD group showed significant cortical thinning in the right frontal cortex, while the P-CD group demonstrated significant folding deficits in the bilateral superior parietal cortex. Both types of aggression negatively correlated with the left amygdala volume, albeit in different ways. The present results demonstrated that the complex nature of aggression relies on differentiated anatomical substrates, highlighting the importance of exploring differential circuit-targeted interventions for CD patients.
Collapse
Affiliation(s)
- Yali Jiang
- Medical Psychological Center, the Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, 410011, Changsha, Hunan, People's Republic of China
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139, Middle Renmin Road, 410011, Changsha, Hunan, People's Republic of China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
- School of Psychology, South China Normal University, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Yidian Gao
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
| | - Daifeng Dong
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xiaoqiang Sun
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Weijun Situ
- Department of Radiology, the Second Xiangya Hospital, Central South University, 139, Middle Renmin Road, 410011, Changsha, Hunan, People's Republic of China.
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.
| | - Shuqiao Yao
- Medical Psychological Center, the Second Xiangya Hospital of Central South University, No. 139, Middle Renmin Road, 410011, Changsha, Hunan, People's Republic of China.
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK.
- Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center on Psychiatry and Psychology, Changsha, China.
- Medical Psychological Institute of Central South University, Changsha, China.
| |
Collapse
|
21
|
Demirci N, Holland MA. Scaling patterns of cortical folding and thickness in early human brain development in comparison with primates. Cereb Cortex 2024; 34:bhad462. [PMID: 38271274 DOI: 10.1093/cercor/bhad462] [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: 08/25/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 01/27/2024] Open
Abstract
Across mammalia, brain morphology follows specific scaling patterns. Bigger bodies have bigger brains, with surface area outpacing volume growth, resulting in increased foldedness. We have recently studied scaling rules of cortical thickness, both local and global, finding that the cortical thickness difference between thick gyri and thin sulci also increases with brain size and foldedness. Here, we investigate early brain development in humans, using subjects from the Developing Human Connectome Project, scanned shortly after pre-term or full-term birth, yielding magnetic resonance images of the brain from 29 to 43 postmenstrual weeks. While the global cortical thickness does not change significantly during this development period, its distribution does, with sulci thinning, while gyri thickening. By comparing our results with our recent work on humans and 11 non-human primate species, we also compare the trajectories of primate evolution with human development, noticing that the 2 trends are distinct for volume, surface area, cortical thickness, and gyrification index. Finally, we introduce the global shape index as a proxy for gyrification index; while correlating very strongly with gyrification index, it offers the advantage of being calculated only from local quantities without generating a convex hull or alpha surface.
Collapse
Affiliation(s)
- Nagehan Demirci
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
| | - Maria A Holland
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, United States
| |
Collapse
|
22
|
Lenge M, Balestrini S, Napolitano A, Mei D, Conti V, Baldassarri G, Trivisano M, Pellacani S, Macconi L, Longo D, Rossi Espagnet MC, Cappelletti S, D'Incerti L, Barba C, Specchio N, Guerrini R. Morphometric network-based abnormalities correlate with psychiatric comorbidities and gene expression in PCDH19-related developmental and epileptic encephalopathy. Transl Psychiatry 2024; 14:35. [PMID: 38238304 PMCID: PMC10796344 DOI: 10.1038/s41398-024-02753-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Protocadherin-19 (PCDH19) developmental and epileptic encephalopathy causes an early-onset epilepsy syndrome with limbic seizures, typically occurring in clusters and variably associated with intellectual disability and a range of psychiatric disorders including hyperactive, obsessive-compulsive and autistic features. Previous quantitative neuroimaging studies revealed abnormal cortical areas in the limbic formation (parahippocampal and fusiform gyri) and underlying white-matter fibers. In this study, we adopted morphometric, network-based and multivariate statistical methods to examine the cortex and substructure of the hippocampus and amygdala in a cohort of 20 PCDH19-mutated patients and evaluated the relation between structural patterns and clinical variables at individual level. We also correlated morphometric alterations with known patterns of PCDH19 expression levels. We found patients to exhibit high-significant reductions of cortical surface area at a whole-brain level (left/right pvalue = 0.045/0.084), and particularly in the regions of the limbic network (left/right parahippocampal gyri pvalue = 0.230/0.016; left/right entorhinal gyri pvalue = 0.002/0.327), and bilateral atrophy of several subunits of the amygdala and hippocampus, particularly in the CA regions (head of the left CA3 pvalue = 0.002; body of the right CA3 pvalue = 0.004), and differences in the shape of hippocampal structures. More severe psychiatric comorbidities correlated with more significant altered patterns, with the entorhinal gyrus (pvalue = 0.013) and body of hippocampus (pvalue = 0.048) being more severely affected. Morphometric alterations correlated significantly with the known expression patterns of PCDH19 (rvalue = -0.26, pspin = 0.092). PCDH19 encephalopathy represents a model of genetically determined neural network based neuropsychiatric disease in which quantitative MRI-based findings correlate with the severity of clinical manifestations and had have a potential predictive value if analyzed early.
Collapse
Affiliation(s)
- Matteo Lenge
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Simona Balestrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Davide Mei
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Valerio Conti
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Giulia Baldassarri
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Marina Trivisano
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Simona Pellacani
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Letizia Macconi
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Daniela Longo
- Functional and Interventional Neuroimaging Unit, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | | | - Simona Cappelletti
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Ludovico D'Incerti
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Carmen Barba
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Nicola Specchio
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Renzo Guerrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy.
| |
Collapse
|
23
|
Bacon EJ, Jin C, He D, Hu S, Wang L, Li H, Qi S. Cortical surface analysis for focal cortical dysplasia diagnosis by using PET images. Heliyon 2024; 10:e23605. [PMID: 38187332 PMCID: PMC10770482 DOI: 10.1016/j.heliyon.2023.e23605] [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: 05/31/2023] [Revised: 10/14/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Focal cortical dysplasia (FCD) is a neurological disorder distinguished by faulty brain cell structure and development. Repetitive and uncontrollable seizures may be linked to FCD's aberrant cortical thickness, gyrification, and sulcal depth. Quantitative cortical surface analysis is a crucial alternative to ineffective visual inspection. This study recruited 42 subjects including 22 FCD patients who underwent surgery and 20 healthy controls (HC). For the FCD patients, T1-weighted and PET images were obtained by a PET-MRI scanner, and the confirmed epileptogenic zone (EZ) was collected from postsurgical follow-up. For the HCs, CT and PET images were obtained by a PET-CT scanner. Cortical thickness, gyrification index, and sulcal depth were calculated using a computational anatomical toolbox (CAT12). A cluster-based analysis is carried out to determine each FCD patient's aberrant cortical surface. After parcellating the cerebral cortex into 68 regions by the Desikan-Killiany atlas, a region of interest (ROI) analysis was conducted to know whether the feature in the FCD group is significantly different from that in the HC group. Finally, the features of all ROIs were utilised to train a support vector machine classifier (SVM). The classification performance is evaluated by the leave-one-out cross-validation. The cluster-based analysis can localize the EZ cluster with the highest accuracy of 54.5 % (12/22) for cortical thickness, 40.9 % (9/22) and 13.6 % (3/22) for sulcal depth and gyrification, respectively. Moderate concordance (Kappa, 0.6) is observed between the confirmed EZs and identified clusters by using the cortical thickness. Fair concordance (Kappa, 0.3) and no concordance (Kappa, 0.1) is found by using sulcal depth and gyrification. Significant differences are found in 46 of 68 regions (67.7 %) for the three measures. The trained SVM classifier achieved a prediction accuracy of 95.5 % for the cortical thickness, while the sulcal depth and the gyrification obtained 86.0 % and 81.5 %. Cortical thickness, as determined by quantitative cortical surface analysis of PET data, has a greater ability than sulcal depth and gyrification to locate aberrant EZ clusters in FCD. Surface measures might be different in many regions for FCD and HC. By integrating machine learning and cortical morphologies features, individual prediction of FCD seems to be feasible.
Collapse
Affiliation(s)
- Eric Jacob Bacon
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China
| | - Chaoyang Jin
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Dianning He
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Shuaishuai Hu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lanbo Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Han Li
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shouliang Qi
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China
| |
Collapse
|
24
|
Leyhausen J, Schäfer T, Gurr C, Berg LM, Seelemeyer H, Pretzsch CM, Loth E, Oakley B, Buitelaar JK, Beckmann CF, Floris DL, Charman T, Bourgeron T, Banaschewski T, Jones EJH, Tillmann J, Chatham C, Murphy DG, Ecker C. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder. Biol Psychiatry 2024; 95:175-186. [PMID: 37348802 DOI: 10.1016/j.biopsych.2023.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/02/2023] [Accepted: 06/10/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Autism is a heterogeneous neurodevelopmental condition accompanied by differences in brain connectivity. Structural connectivity in autism has mainly been investigated within the white matter. However, many genetic variants associated with autism highlight genes related to synaptogenesis and axonal guidance, thus also implicating differences in intrinsic (i.e., gray matter) connections in autism. Intrinsic connections may be assessed in vivo via so-called intrinsic global and local wiring costs. METHODS Here, we examined intrinsic global and local wiring costs in the brain of 359 individuals with autism and 279 healthy control participants ages 6 to 30 years from the EU-AIMS LEAP (Longitudinal European Autism Project). FreeSurfer was used to derive surface mesh representations to compute the estimated length of connections required to wire the brain within the gray matter. Vertexwise between-group differences were assessed using a general linear model. A gene expression decoding analysis based on the Allen Human Brain Atlas was performed to link neuroanatomical differences to putative underpinnings. RESULTS Group differences in global and local wiring costs were predominantly observed in medial and lateral prefrontal brain regions, in inferior temporal regions, and at the left temporoparietal junction. The resulting neuroanatomical patterns were enriched for genes that had been previously implicated in the etiology of autism at genetic and transcriptomic levels. CONCLUSIONS Based on intrinsic gray matter connectivity, the current study investigated the complex neuroanatomy of autism and linked between-group differences to putative genomic and/or molecular mechanisms to parse the heterogeneity of autism and provide targets for future subgrouping approaches.
Collapse
Affiliation(s)
- Johanna Leyhausen
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Biosciences, Goethe University Frankfurt, Frankfurt am Main, Germany.
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Lisa M Berg
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Hanna Seelemeyer
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany
| | - Charlotte M Pretzsch
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Bethany Oakley
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands; Methods of Plasticity Research, Department of Psychology, University of Zürich, Zurich, Switzerland
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Thomas Bourgeron
- Institut Pasteur, Human Genetics and Cognitive Functions Unit, Paris, France
| | - Tobias Banaschewski
- Child and Adolescent Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Julian Tillmann
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Chris Chatham
- F. Hoffmann-La Roche, Innovation Center Basel, Basel, Switzerland
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Christine Ecker
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany; Brain Imaging Center, Goethe University, Frankfurt am Main, Germany; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| |
Collapse
|
25
|
Abaci Turk E, Yun HJ, Feldman HA, Lee JY, Lee HJ, Bibbo C, Zhou C, Tamen R, Grant PE, Im K. Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins. Cereb Cortex 2024; 34:bhad383. [PMID: 37885155 PMCID: PMC11032198 DOI: 10.1093/cercor/bhad383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Normal cortical growth and the resulting folding patterns are crucial for normal brain function. Although cortical development is largely influenced by genetic factors, environmental factors in fetal life can modify the gene expression associated with brain development. As the placenta plays a vital role in shaping the fetal environment, affecting fetal growth through the exchange of oxygen and nutrients, placental oxygen transport might be one of the environmental factors that also affect early human cortical growth. In this study, we aimed to assess the placental oxygen transport during maternal hyperoxia and its impact on fetal brain development using MRI in identical twins to control for genetic and maternal factors. We enrolled 9 pregnant subjects with monochorionic diamniotic twins (30.03 ± 2.39 gestational weeks [mean ± SD]). We observed that the fetuses with slower placental oxygen delivery had reduced volumetric and surface growth of the cerebral cortex. Moreover, when the difference between placenta oxygen delivery increased between the twin pairs, sulcal folding patterns were more divergent. Thus, there is a significant relationship between placental oxygen transport and fetal brain cortical growth and folding in monochorionic twins.
Collapse
Affiliation(s)
- Esra Abaci Turk
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Hyuk Jin Yun
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Henry A Feldman
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Joo Young Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Carolina Bibbo
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115, United States
| | - Cindy Zhou
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Rubii Tamen
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Patricia Ellen Grant
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Kiho Im
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| |
Collapse
|
26
|
Lima Santos JP, Hayes R, Franzen PL, Goldstein TR, Hasler BP, Buysse DJ, Siegle GJ, Dahl RE, Forbes EE, Ladouceur CD, McMakin DL, Ryan ND, Silk JS, Jalbrzikowski M, Soehner AM. The association between cortical gyrification and sleep in adolescents and young adults. Sleep 2024; 47:zsad282. [PMID: 37935899 PMCID: PMC10782503 DOI: 10.1093/sleep/zsad282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/06/2023] [Indexed: 11/09/2023] Open
Abstract
STUDY OBJECTIVES Healthy sleep is important for adolescent neurodevelopment, and relationships between brain structure and sleep can vary in strength over this maturational window. Although cortical gyrification is increasingly considered a useful index for understanding cognitive and emotional outcomes in adolescence, and sleep is also a strong predictor of such outcomes, we know relatively little about associations between cortical gyrification and sleep. We aimed to identify developmentally invariant (stable across age) or developmentally specific (observed only during discrete age intervals) gyrification-sleep relationships in young people. METHODS A total of 252 Neuroimaging and Pediatric Sleep Databank participants (9-26 years; 58.3% female) completed wrist actigraphy and a structural MRI scan. Local gyrification index (lGI) was estimated for 34 bilateral brain regions. Naturalistic sleep characteristics (duration, timing, continuity, and regularity) were estimated from wrist actigraphy. Regularized regression for feature selection was used to examine gyrification-sleep relationships. RESULTS For most brain regions, greater lGI was associated with longer sleep duration, earlier sleep timing, lower variability in sleep regularity, and shorter time awake after sleep onset. lGI in frontoparietal network regions showed associations with sleep patterns that were stable across age. However, in default mode network regions, lGI was only associated with sleep patterns from late childhood through early-to-mid adolescence, a period of vulnerability for mental health disorders. CONCLUSIONS We detected both developmentally invariant and developmentally specific ties between local gyrification and naturalistic sleep patterns. Default mode network regions may be particularly susceptible to interventions promoting more optimal sleep during childhood and adolescence.
Collapse
Affiliation(s)
| | - Rebecca Hayes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tina R Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Greg J Siegle
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ronald E Dahl
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Dana L McMakin
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Neal D Ryan
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer S Silk
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria Jalbrzikowski
- Department of Psychiatry and Behavioral Sciences, Boston Children’s Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
27
|
Li L, Wang T, Li F, Yue Y, Yin Y, Chen S, Hou Z, Xu Z, Kong Y, Yuan Y. Negative association between DNA methylation in brain-derived neurotrophic factor exon VI and left superior parietal gyrification in major depressive disorder. Behav Brain Res 2024; 456:114684. [PMID: 37769873 DOI: 10.1016/j.bbr.2023.114684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 09/10/2023] [Accepted: 09/25/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE We have recently reported significantly higher DNA methylation in brain-derived neurotrophic factor (BDNF) exon VI in major depressive disorder (MDD). This study aimed to investigated cortical changes and their associations with DNA methylations in BDNF exon VI in MDD. METHODS Data of 93 patients with MDD and 59 controls were involved in statistics. General linear regressions (GLM) were performed to analyze thickness and gyrification changes in MDD and their association with DNA methylation in BDNF exon VI in patients with MDD and controls. RESULTS Significantly decreased cortical thickness (CT) in left lateral orbitofrontal cortex (LOFC), left superior temporal lobe (ST) and right frontal pole (FP) and decreased local gyrification index (lGI) in left superior parietal lobe (SP) were found in MDD. The associations between DNA methylation in 3 CpG sites in BDNF exon VI and lGI in left SP were significantly different in patients and controls. DNA methylations in BDNF132 (β = -0.359, P < 0.001), BDNF137 (β = -0.214, P = 0.032), and BDNF151 (β = -0.223, P = 0.025) were significantly negatively associated with lGI in left SP in MDD. CONCLUSION The negative association between BDNF exon VI methylation and lGI in left SP might imply a potential epigenetic marker associated with cortical gyrification reduction in patients with MDD.
Collapse
Affiliation(s)
- Lei Li
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Department of Depression and Sleep Medicine, The Fourth People's Hospital of Lianyungang, Lianyungang 222000, China
| | - Tianyu Wang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China
| | - Fan Li
- Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing 210000, China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China
| | - Suzhen Chen
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China
| | - Zhenghua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Zhi Xu
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Youyong Kong
- Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing 210000, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing 210009, China.
| |
Collapse
|
28
|
Walther S, Nadesalingam N, Nuoffer M, Kyrou A, Wüthrich F, Lefebvre S. Structural alterations of the motor cortex and higher order cortical areas suggest early neurodevelopmental origin of catatonia in schizophrenia. Schizophr Res 2024; 263:131-138. [PMID: 36272843 DOI: 10.1016/j.schres.2022.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/07/2022]
Abstract
The neurobiology of catatonia is still poorly understood. Particularly structural MRI studies yielded conflicting results. Heterogeneity of findings was suggested to stem from specifics of different rating scales. This study sought to test grey matter differences between patients with catatonia, patients without catatonia, and healthy controls using the two main instruments of catatonia rating. We included 98 patients with schizophrenia spectrum disorders and 42 healthy controls. Catatonia was measured using the Bush Francis Catatonia Rating Scale and the Northoff Catatonia Rating Scale. According to these scales, patients were classified into those with and those without catatonia. We tested whole brain grey matter volume, cortical thickness, and local gyrification across groups. Both catatonia rating scales correlated at tau = 0.65 but failed to classify identical subjects as catatonia patients. However, group differences in grey matter parameters were broadly similar with either rating scale to identify catatonia cases. Catatonia patients had reduced grey matter volume compared to controls in a large network including orbitofrontal cortex, cingulate, thalamus, and amygdala. While there was no group difference in cortical thickness, catatonia patients had increased local gyrification in premotor, motor, and parietal cortices compared to controls. Hypergyrification of the motor cortex and higher order cortical areas was found in catatonia patients compared to patients without catatonia. Both catatonia rating scales find similar symptom severity and group differences in grey matter indices. Catatonia is linked to reduced grey matter volume and increased local gyrification, suggesting some impact of early neurodevelopmental insults.
Collapse
Affiliation(s)
- Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
| | - Niluja Nadesalingam
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Switzerland
| | - Melanie Nuoffer
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Switzerland
| | - Alexandra Kyrou
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Florian Wüthrich
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Switzerland
| | - Stephanie Lefebvre
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| |
Collapse
|
29
|
Joo SW, Jo YT, Kim Y, Lee WH, Chung YC, Lee J. Structural variability of the cerebral cortex in schizophrenia and its association with clinical symptoms. Psychol Med 2024; 54:399-408. [PMID: 37485703 DOI: 10.1017/s0033291723001988] [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] [Indexed: 07/25/2023]
Abstract
BACKGROUND Substantial evidence indicates structural abnormalities in the cerebral cortex of patients with schizophrenia (SCZ), although their clinical implications remain unclear. Previous case-control studies have investigated group-level differences in structural abnormalities, although the study design cannot account for interindividual differences. Recent research has focused on the association between the heterogeneity of the cerebral cortex morphometric features and clinical heterogeneity. METHODS We used neuroimaging data from 420 healthy controls and 695 patients with SCZ from seven studies. Four cerebral cortex measures were obtained: surface area, gray matter volume, thickness, and local gyrification index. We calculated the coefficient of variation (CV) and person-based similarity index (PBSI) scores and performed group comparisons. Associations between the PBSI scores and cognitive functions were evaluated using Spearman's rho test and normative modeling. RESULTS Patients with SCZ had a greater CV of surface area and cortical thickness than those of healthy controls. All PBSI scores across cortical measures were lower in patients with SCZ than in HCs. In the patient group, the PBSI scores for gray matter volume and all cortical measures taken together positively correlated with the full-scale IQ scores. Patients with deviant PBSI scores for gray matter volume and all cortical measures taken together had lower full-scale IQ scores than those of other patients. CONCLUSIONS The cerebral cortex in patients with SCZ showed greater regional and global structural variability than that in healthy controls. Patients with deviant similarity of cortical structural profiles exhibited a lower general intelligence than those exhibited by the other patients.
Collapse
Affiliation(s)
- Sung Woo Joo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Yangsik Kim
- Department of Psychiatry, Inha University Hospital, Incheon, Republic of Korea
| | - Won Hee Lee
- Department of Software Convergence, Kyung Hee University, Yongin, Republic of Korea
| | - Young-Chul Chung
- Department of Psychiatry, Chonbuk National University Medical School, Jeonju, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
30
|
Crisóstomo J, Duarte JV, Canário N, Moreno C, Gomes L, Castelo-Branco M. The longitudinal impact of type 2 diabetes on brain gyrification. Eur J Neurosci 2023; 58:4384-4392. [PMID: 37927099 DOI: 10.1111/ejn.16177] [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: 08/18/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 11/07/2023]
Abstract
Type 2 diabetes has an effect on brain structure, including cortical gyrification. The significance of these changes is better understood if assessed over time. However, there is a lack of studies assessing longitudinally the effect of this disease with complex aethology in gyrification. While changes in this feature have been associated mainly with genetic legacy, our study allowed to shed light on the effect of the variation of glycaemic profile over time in gyrification in this metabolic disease. In this longitudinal study, we analysed brain anatomical magnetic resonance images of 15 participants with type 2 diabetes and 13 healthy control participants to investigate the impact of this metabolic disease on the gyrification index over a 7-year period. We observed a significant interaction between time and group in six regions, four of which (left precentral gyrus, left gyrus rectus, left subcentral gyrus and sulci and right inferior temporal gyrus) showed an increase in gyrification in type 2 diabetes and a decrease in the control group and the two others (left pericallosal sulcus and right inferior frontal sulcus) the opposite pattern. The variation of the gyrification was correlated with the variation of the glycaemic profile. Following the interaction, the simple main effect of time in each group separately has shown that in the group with diabetes, there were more regions susceptible to alterations of gyrification. In sum, our results raise credit for the possibility that glycaemic control also might influence gyrification in type 2 diabetes.
Collapse
Affiliation(s)
- Joana Crisóstomo
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - João V Duarte
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
| | - Nádia Canário
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
| | - Carolina Moreno
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Department of Endocrinology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Leonor Gomes
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Department of Endocrinology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
| |
Collapse
|
31
|
Shuster E, Miles AE, Heyland LK, Calarco N, Jeyachandra J, Mansour S, Voineskos AN, Steffens DC, Nikolova YS, Diniz BS. Neuroimaging features of depression-frailty phenotype in older adults: a pilot study. Int Psychogeriatr 2023; 35:717-723. [PMID: 36803400 PMCID: PMC10439968 DOI: 10.1017/s1041610223000066] [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] [Indexed: 02/22/2023]
Abstract
OBJECTIVE Frailty and late-life depression (LLD) often coexist and share several structural brain changes. We aimed to study the joint effect LLD and frailty have on brain structure. DESIGN Cross-sectional study. SETTING Academic Health Center. PARTICIPANTS Thirty-one participants (14 LLD+Frail and 17 Never-depressed+Robust). MEASUREMENT LLD was diagnosed by a geriatric psychiatrist according to the Diagnostic and Statistical Manual of Mental Disorders 5th edition for single episode or recurrent major depressive disorder without psychotic features. Frailty was assessed using the FRAIL scale (0-5), classifying subjects as robust (0), prefrail (1-2), and frail (3-5). Participants underwent T1-weighted magnetic resonance imaging in which covariance analysis of subcortical volumes and vertex-wise analysis of cortical thickness values were performed to access changes in grey matter. Participants also underwent diffusion tensor imaging in which tract-based spatial statistics was used with voxel-wise statistical analysis on fractional anisotropy and mean diffusion values to assess changes in white matter (WM). RESULTS We found a significant difference in mean diffusion values (48,225 voxels; peak voxel: pFWER=0.005, MINI coord. (X,Y,Z) = -26,-11,27) between the LLD-Frail group and comparison group. The corresponding effect size (f=0.808) was large. CONCLUSION We showed the LLD+Frailty group is associated with significant microstructural changes within WM tracts compared to Never-depressed+Robust individuals. Our findings indicate the possibility of a heightened neuroinflammatory burden as a potential mechanism underlying the co-occurrence of both conditions and the possibility of a depression-frailty phenotype in older adults.
Collapse
Affiliation(s)
- Ethan Shuster
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Amy E. Miles
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Navona Calarco
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Salim Mansour
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David C. Steffens
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Yuliya S. Nikolova
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Breno S. Diniz
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| |
Collapse
|
32
|
Shen Q, Liao H, Cai S, Liu Q, Wang M, Song C, Zhou F, Liu Y, Yuan J, Tang Y, Li X, Liu J, Tan C. Cortical gyrification pattern of depression in Parkinson's disease: a neuroimaging marker for disease severity? Front Aging Neurosci 2023; 15:1241516. [PMID: 38035271 PMCID: PMC10682087 DOI: 10.3389/fnagi.2023.1241516] [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: 06/16/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Background Although the study of the neuroanatomical correlates of depression in Parkinson's Disease (PD) is gaining increasing interest, up to now the cortical gyrification pattern of PD-related depression has not been reported. This study was conducted to investigate the local gyrification index (LGI) in PD patients with depression, and its associations with the severity of depression. Methods LGI values, as measured using FreeSurfer software, were compared between 59 depressed PD (dPD), 27 non-depressed PD (ndPD) patients and 43 healthy controls. The values were also compared between ndPD and mild-depressed PD (mi-dPD), moderate-depressed PD (mo-dPD) and severe-depressed PD (se-dPD) patients as sub-group analyses. Furthermore, we evaluated the correlation between LGI values and depressive symptom scores within dPD group. Results Compared to ndPD, the dPD patients exhibited decreased LGI in the left parietal, the right superior-frontal, posterior cingulate and paracentral regions, and the LGI values within these areas negatively correlated with the severity of depression. Specially, reduced gyrification was observed in mo-dPD and involving a larger region in se-dPD, but not in mi-dPD group. Conclusion The present study demonstrated that cortical gyrification is decreased within specific brain regions among PD patients with versus without depression, and those changes were associated with the severity of depression. Our findings suggested that cortical gyrification might be a potential neuroimaging marker for the severity of depression in patients with PD.
Collapse
|
33
|
Miller HE, Garnett EO, Heller Murray ES, Nieto-Castañón A, Tourville JA, Chang SE, Guenther FH. A comparison of structural morphometry in children and adults with persistent developmental stuttering. Brain Commun 2023; 5:fcad301. [PMID: 38025273 PMCID: PMC10653153 DOI: 10.1093/braincomms/fcad301] [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: 04/18/2023] [Revised: 10/07/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
This cross-sectional study aimed to differentiate earlier occurring neuroanatomical differences that may reflect core deficits in stuttering versus changes associated with a longer duration of stuttering by analysing structural morphometry in a large sample of children and adults who stutter and age-matched controls. Whole-brain T1-weighted structural scans were obtained from 166 individuals who stutter (74 children, 92 adults; ages 3-58) and 191 controls (92 children, 99 adults; ages 3-53) from eight prior studies in our laboratories. Mean size and gyrification measures were extracted using FreeSurfer software for each cortical region of interest. FreeSurfer software was also used to generate subcortical volumes for regions in the automatic subcortical segmentation. For cortical analyses, separate ANOVA analyses of size (surface area, cortical thickness) and gyrification (local gyrification index) measures were conducted to test for a main effect of diagnosis (stuttering, control) and the interaction of diagnosis-group with age-group (children, adults) across cortical regions. Cortical analyses were first conducted across a set of regions that comprise the speech network and then in a second whole-brain analysis. Next, separate ANOVA analyses of volume were conducted across subcortical regions in each hemisphere. False discovery rate corrections were applied for all analyses. Additionally, we tested for correlations between structural morphometry and stuttering severity. Analyses revealed thinner cortex in children who stutter compared with controls in several key speech-planning regions, with significant correlations between cortical thickness and stuttering severity. These differences in cortical size were not present in adults who stutter, who instead showed reduced gyrification in the right inferior frontal gyrus. Findings suggest that early cortical anomalies in key speech planning regions may be associated with stuttering onset. Persistent stuttering into adulthood may result from network-level dysfunction instead of focal differences in cortical morphometry. Adults who stutter may also have a more heterogeneous neural presentation than children who stutter due to their unique lived experiences.
Collapse
Affiliation(s)
- Hilary E Miller
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Emily O Garnett
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elizabeth S Heller Murray
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Communication Sciences & Disorders, Temple University, Philadelphia, PA 19122, USA
| | - Alfonso Nieto-Castañón
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Jason A Tourville
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Communication Disorders, Ewha Womans University, Seoul 03760, Korea
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI 48824, USA
| | - Frank H Guenther
- Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| |
Collapse
|
34
|
Park I, Ha M, Kim T, Lho SK, Moon SY, Kim M, Kwon JS. Cortical gyrification differences between early- and late-onset obsessive-compulsive disorder: neurobiological evidence for neurodevelopmentally distinct subtypes. Psychol Med 2023; 53:5976-5985. [PMID: 36259417 PMCID: PMC10520599 DOI: 10.1017/s0033291722003129] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/01/2022] [Accepted: 09/16/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Identifying more homogenous subtypes of patients with obsessive-compulsive disorder (OCD) using biological evidence is critical for understanding complexities of the disorder in this heterogeneous population. Age of onset serves as a useful subtyping scheme for distinguishing OCD into two subgroups that aligns with neurodevelopmental perspectives. The underlying neurobiological markers for these distinct neurodevelopmental differences can be identified by investigating gyrification changes to establish biological evidence-based homogeneous subtypes. METHODS We compared whole-brain cortical gyrification in 84 patients with early-onset OCD, 84 patients with late-onset OCD, and 152 healthy controls (HCs) to identify potential markers for early neurodevelopmental deficits using the local gyrification index (lGI). Then, the relationships between lGI in clusters showing significant differences and performance in visuospatial memory and verbal fluency, which are considered trait-related neurocognitive impairments in OCD, were further examined in early-onset OCD patients. RESULTS The early-onset OCD patients exhibited significantly greater gyrification than those with late-onset OCD patients and HCs in frontoparietal and cingulate regions, including the bilateral precentral, postcentral, precuneus, paracentral, posterior cingulate, superior frontal, and caudal anterior cingulate gyri. Moreover, impaired neurocognitive functions in early-onset OCD patients were correlated with increased gyrification. CONCLUSIONS Our findings provide a neurobiological marker to distinguish the OCD population into more neurodevelopmentally homogeneous subtypes, which may contribute to the understanding of the neurodevelopmental underpinnings of an etiology in early-onset OCD consistent with the accumulated phenotypic evidence of greater neurodevelopmental deficits in early-onset OCD than in late-onset OCD.
Collapse
Affiliation(s)
- Inkyung Park
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Minji Ha
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Bio and Brain, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Psychiatry, Hallym University Kangnam Sacred Heart Hospital, Seoul, Republic of Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| |
Collapse
|
35
|
Ghirelli A, Tafuri B, Urso D, Milella G, De Blasi R, Nigro S, Logroscino G. Cortical signature of depressive symptoms in frontotemporal dementia: A surface-based analysis. Ann Clin Transl Neurol 2023; 10:1704-1713. [PMID: 37522381 PMCID: PMC10578898 DOI: 10.1002/acn3.51860] [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: 03/26/2023] [Revised: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 08/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Depressive symptoms are frequently reported in patients affected by frontotemporal dementia (FTD). At structural MRI, cortical features of depressed FTD patients have been poorly described. Our objective was to investigate correlations between cortical measures and depression severity in FTD patients. METHODS Data were obtained from the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) database. We included 98 controls and 92 FTD patients, n = 38 behavioral variant FTD (bvFTD), n = 26 non-fluent variant Primary Progressive Aphasia (nfvPPA), and n = 28 semantic variant Primary Progressive Aphasia (svPPA). Patients underwent clinical and cognitive evaluations, as well as a 3D T1-weighted MRI on a 3 Tesla scanner (Siemens, Trio Tim system). Depression was evaluated by means of Geriatric Depression Scale (GDS). Surface-based analysis was performed on T1-weighted images to evaluate cortical thickness, a measure of gray matter integrity, and local gyrification index (lGI), a quantitative metric of cortical folding. RESULTS Patients affected by svPPA were more depressed than controls at NPI and depression severity at GDS was higher in svPPA and bvFTD. Severity of depression correlated with a decrease in lGI in left precentral and superior frontal gyrus, supramarginal and postcentral gyrus and right precentral, supramarginal, superior parietal and superior frontal gyri. Furthermore, depression severity correlated positively with cortical thickness in the left medial orbitofrontal cortex. DISCUSSION We found that lGI was associated with depressive symptoms over brain regions involved in the pathophysiology of major depressive disorder. This finding provides novel insights into the mechanisms underlying psychiatric symptoms in FTD.
Collapse
Affiliation(s)
- Alma Ghirelli
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Benedetta Tafuri
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Neurosciences, King's College LondonInstitute of Psychiatry, Psychology and NeuroscienceLondonUK
| | - Giammarco Milella
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Translational Biomedicine and Neuroscience (DiBraiN)University of Bari ‘Aldo Moro’BariItaly
| | - Roberto De Blasi
- Department of Diagnostic ImagingPia Fondazione di Culto e Religione “Card. G. Panico”LecceItaly
| | - Salvatore Nigro
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Institute of Nanotechnology (NANOTEC), National Research CouncilLecceItaly
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in NeurologyUniversity of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”LecceItaly
- Department of Diagnostic ImagingPia Fondazione di Culto e Religione “Card. G. Panico”LecceItaly
| | | |
Collapse
|
36
|
Heuer K, Traut N, de Sousa AA, Valk SL, Clavel J, Toro R. Diversity and evolution of cerebellar folding in mammals. eLife 2023; 12:e85907. [PMID: 37737580 PMCID: PMC10617990 DOI: 10.7554/elife.85907] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 09/22/2023] [Indexed: 09/23/2023] Open
Abstract
The process of brain folding is thought to play an important role in the development and organisation of the cerebrum and the cerebellum. The study of cerebellar folding is challenging due to the small size and abundance of its folia. In consequence, little is known about its anatomical diversity and evolution. We constituted an open collection of histological data from 56 mammalian species and manually segmented the cerebrum and the cerebellum. We developed methods to measure the geometry of cerebellar folia and to estimate the thickness of the molecular layer. We used phylogenetic comparative methods to study the diversity and evolution of cerebellar folding and its relationship with the anatomy of the cerebrum. Our results show that the evolution of cerebellar and cerebral anatomy follows a stabilising selection process. We observed two groups of phenotypes changing concertedly through evolution: a group of 'diverse' phenotypes - varying over several orders of magnitude together with body size, and a group of 'stable' phenotypes varying over less than 1 order of magnitude across species. Our analyses confirmed the strong correlation between cerebral and cerebellar volumes across species, and showed in addition that large cerebella are disproportionately more folded than smaller ones. Compared with the extreme variations in cerebellar surface area, folial anatomy and molecular layer thickness varied only slightly, showing a much smaller increase in the larger cerebella. We discuss how these findings could provide new insights into the diversity and evolution of cerebellar folding, the mechanisms of cerebellar and cerebral folding, and their potential influence on the organisation of the brain across species.
Collapse
Affiliation(s)
- Katja Heuer
- Institut Pasteur, Université Paris Cité, Unité de Neuroanatomie Appliquée et ThéoriqueParisFrance
| | - Nicolas Traut
- Institut Pasteur, Université Paris Cité, Unité de Neuroanatomie Appliquée et ThéoriqueParisFrance
| | | | - Sofie Louise Valk
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, FZ JülichJülichGermany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University DüsseldorfDüsseldorfGermany
| | - Julien Clavel
- Université Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNAVilleurbanneFrance
| | - Roberto Toro
- Institut Pasteur, Université Paris Cité, Unité de Neuroanatomie Appliquée et ThéoriqueParisFrance
| |
Collapse
|
37
|
Santos JPL, Hayes R, Franzen PL, Goldstein TR, Hasler BP, Buysse DJ, Siegle GJ, Dahl RE, Forbes EE, Ladouceur CD, McMakin DL, Ryan ND, Silk JS, Jalbrzikowski M, Soehner AM. The association between cortical gyrification and sleep in adolescents and young adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.15.557966. [PMID: 37745609 PMCID: PMC10516006 DOI: 10.1101/2023.09.15.557966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Study objectives Healthy sleep is important for adolescent neurodevelopment, and relationships between brain structure and sleep can vary in strength over this maturational window. Although cortical gyrification is increasingly considered a useful index for understanding cognitive and emotional outcomes in adolescence, and sleep is also a strong predictor of such outcomes, we know relatively little about associations between cortical gyrification and sleep. Methods Using Local gyrification index (lGI) of 34 bilateral brain regions and regularized regression for feature selection, we examined gyrification-sleep relationships in the Neuroimaging and Pediatric Sleep databank (252 participants; 9-26 years; 58.3% female) and identified developmentally invariant (stable across age) or developmentally specific (observed only during discrete age intervals) brain-sleep associations. Naturalistic sleep characteristics (duration, timing, continuity, and regularity) were estimated from wrist actigraphy. Results For most brain regions, greater lGI was associated with longer sleep duration, earlier sleep timing, lower variability in sleep regularity, and shorter time awake after sleep onset. lGI in frontoparietal network regions showed associations with sleep patterns that were stable across age. However, in default mode network regions, lGI was only associated with sleep patterns from late childhood through early-to-mid adolescence, a period of vulnerability for mental health disorders. Conclusions We detected both developmentally invariant and developmentally specific ties between local gyrification and naturalistic sleep patterns. Default mode network regions may be particularly susceptible to interventions promoting more optimal sleep during childhood and adolescence.
Collapse
Affiliation(s)
| | - Rebecca Hayes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tina R Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Greg J Siegle
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ronald E Dahl
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Dana L McMakin
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Neal D Ryan
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer S Silk
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria Jalbrzikowski
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
38
|
Zhang S, Sun H, Yang X, Wan X, Tan Q, Li S, Shao H, Su X, Yue Q, Gong Q. An MRI Study Combining Virtual Brain Grafting and Surface-Based Morphometry Analysis to Investigate Contralateral Alterations in Cortical Morphology in Patients With Diffuse Low-Grade Glioma. J Magn Reson Imaging 2023; 58:741-749. [PMID: 36524459 DOI: 10.1002/jmri.28562] [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: 09/07/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND The human brain has ability to reorganize itself in response to glioma. However, the mechanism of cortical reorganization remains unclear. PURPOSE To investigate alterations in cortical thickness and local gyration index (LGI) in patients with unilateral frontal lobe diffuse low-grade glioma (DLGG). STUDY TYPE Retrospective. SUBJECTS Ninety-nine patients with histopathologically proven DLGG invading the left frontal lobe (LF; N = 56) or the right frontal lobe (RF; N = 43), and healthy controls (HC; N = 53). FIELD STRENGTH/SEQUENCE 3.0 T, 3D T1-weighted images and gadolinium enhanced T1-weighted images using magnetization-prepared rapid gradient echo sequence, T2-weighted images, and fluid-attenuated inversion recovery using turbo spin echo sequence. ASSESSMENT In patients with DLGG, virtual brain grafting combined with Freesurfer was utilized to enable automated cortical thickness and LGI calculation. In HC, standard FreeSurfer pipeline was applied to calculate these measures. Radiomic features were extracted from glioma using Pyradiomic software. STATISTICAL TESTS General linear model and Pearson's correlation analysis. A P value <0.05 was considered statistically significant. RESULTS For LF patients, there was significantly increased cortical thickness in the rostral middle frontal gyrus, significantly reduced cortical thickness in the precentral gyrus and hypogyrification in the lingual and medial orbitofrontal (MOF) gyrus in contralateral hemisphere. For RF patients, there was significantly increased cortical thickness in the middle temporal, lateral occipital extending to isthmus cingulate gyrus, significantly reduced cortical thickness in the precentral gyrus and hypogyrification in the lingual gyrus in the contralateral hemisphere. A negative association between four textural features of DLGG and LGI in the right MOF gyrus of LF group was found (r = -0.609, -0.442, -0.545, and -0.417, respectively). DATA CONCLUSION Cortical thickness compensation was shown in contralateral homotopic location and some distant contralateral regions. Additionally, there was decreased cortical thickness in the contralateral precentral gyrus and hypogyrification in contralateral lingual gyrus. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Simin Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xibiao Yang
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, China
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xinyue Wan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - QiaoYue Tan
- Division of Radiation Physics, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Shuang Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hanbin Shao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaorui Su
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, china
| | - Qiang Yue
- Huaxi Glioma Center, West China Hospital of Sichuan University, Chengdu, China
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiyong Gong
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
| |
Collapse
|
39
|
Leiberg K, de Tisi J, Duncan JS, Little B, Taylor PN, Vos SB, Winston GP, Mota B, Wang Y. Effects of anterior temporal lobe resection on cortical morphology. Cortex 2023; 166:233-242. [PMID: 37399617 DOI: 10.1016/j.cortex.2023.04.018] [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: 01/19/2023] [Revised: 04/11/2023] [Accepted: 04/16/2023] [Indexed: 07/05/2023]
Abstract
Neuroimaging can capture brain restructuring after anterior temporal lobe resection (ATLR), a surgical procedure to treat drug-resistant temporal lobe epilepsy (TLE). Here, we examine the effects of this surgery on brain morphology measured in recently-proposed independent variables. We studied 101 individuals with TLE (55 left, 46 right onset) who underwent ATLR. For each individual we considered one pre-surgical MRI and one follow-up MRI 2-13 months after surgery. We used a surface-based method to locally compute traditional morphological variables, and the independent measures K, I, and S, where K measures white matter tension, I captures isometric scaling, and S contains the remaining information about cortical shape. A normative model trained on data from 924 healthy controls was used to debias the data and account for healthy ageing effects occurring during scans. A SurfStat random field theory clustering approach assessed changes across the cortex caused by ATLR. Compared to preoperative data, surgery had marked effects on all morphological measures. Ipsilateral effects were located in the orbitofrontal and inferior frontal gyri, the pre- and postcentral gyri and supramarginal gyrus, and the lateral occipital gyrus and lingual cortex. Contralateral effects were in the lateral occipital gyrus, and inferior frontal gyrus and frontal pole. The restructuring following ATLR is reflected in widespread morphological changes, mainly in regions near the resection, but also remotely in regions that are structurally connected to the anterior temporal lobe. The causes could include mechanical effects, Wallerian degeneration, or compensatory plasticity. The study of independent measures revealed additional effects compared to traditional measures.
Collapse
Affiliation(s)
- Karoline Leiberg
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
| | - Jane de Tisi
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
| | - John S Duncan
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; Chalfont Centre for Epilepsy, Chalfont St Peter, UK
| | - Bethany Little
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | - Peter N Taylor
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom; Queen Square Institute of Neurology, University College London, Queen Square, London, UK
| | - Sjoerd B Vos
- Queen Square Institute of Neurology, University College London, Queen Square, London, UK; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL, UK; Centre for Medical Image Computing, University College London, London, UK; Centre for Microscopy, Characterisation, And Analysis, The University of Western Australia, Nedlands, Australia
| | - Gavin P Winston
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK; MRI Unit, Epilepsy Society, Buckinghamshire, UK; Division of Neurology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Bruno Mota
- MetaBIO Lab, Instituto de Física, Universidade Federal Do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Yujiang Wang
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom; Queen Square Institute of Neurology, University College London, Queen Square, London, UK.
| |
Collapse
|
40
|
Chavoshnejad P, Vallejo L, Zhang S, Guo Y, Dai W, Zhang T, Razavi MJ. Mechanical hierarchy in the formation and modulation of cortical folding patterns. Sci Rep 2023; 13:13177. [PMID: 37580340 PMCID: PMC10425471 DOI: 10.1038/s41598-023-40086-9] [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: 03/14/2023] [Accepted: 08/04/2023] [Indexed: 08/16/2023] Open
Abstract
The important mechanical parameters and their hierarchy in the growth and folding of the human brain have not been thoroughly understood. In this study, we developed a multiscale mechanical model to investigate how the interplay between initial geometrical undulations, differential tangential growth in the cortical plate, and axonal connectivity form and regulate the folding patterns of the human brain in a hierarchical order. To do so, different growth scenarios with bilayer spherical models that features initial undulations on the cortex and uniform or heterogeneous distribution of axonal fibers in the white matter were developed, statistically analyzed, and validated by the imaging observations. The results showed that the differential tangential growth is the inducer of cortical folding, and in a hierarchal order, high-amplitude initial undulations on the surface and axonal fibers in the substrate regulate the folding patterns and determine the location of gyri and sulci. The locations with dense axonal fibers after folding settle in gyri rather than sulci. The statistical results also indicated that there is a strong correlation between the location of positive (outward) and negative (inward) initial undulations and the locations of gyri and sulci after folding, respectively. In addition, the locations of 3-hinge gyral folds are strongly correlated with the initial positive undulations and locations of dense axonal fibers. As another finding, it was revealed that there is a correlation between the density of axonal fibers and local gyrification index, which has been observed in imaging studies but not yet fundamentally explained. This study is the first step in understanding the linkage between abnormal gyrification (surface morphology) and disruption in connectivity that has been observed in some brain disorders such as Autism Spectrum Disorder. Moreover, the findings of the study directly contribute to the concept of the regularity and variability of folding patterns in individual human brains.
Collapse
Affiliation(s)
- Poorya Chavoshnejad
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Liam Vallejo
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Songyao Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Yanchen Guo
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Weiying Dai
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Tuo Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Mir Jalil Razavi
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA.
| |
Collapse
|
41
|
Cascino G, Canna A, Russo AG, Monaco F, Monteleone AM, Ceres R, Carfagno M, Di Salle F, Monteleone P. Association between childhood maltreatment and cortical folding in women with eating disorders. Eur J Neurosci 2023; 58:2868-2873. [PMID: 37369968 DOI: 10.1111/ejn.16076] [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: 12/05/2022] [Accepted: 06/12/2023] [Indexed: 06/29/2023]
Abstract
Childhood maltreatment (CM) is associated with distinct clinical and biological characteristics in people with eating disorders (EDs). The measurement of local gyrification index (lGI) may help to better characterize the impact of CM on cortical structure. Thus, the present study investigated the association of CM with lGI in women with EDs. Twenty-six women with anorexia nervosa (AN) and 24 with bulimia nervosa (BN) underwent a 3T MRI scan. All participants filled in the Childhood Trauma Questionnaire. All neuroimaging data were processed by FreeSurfer. LGI maps underwent a general linear model to evaluate differences between groups with or without CM. People with AN and BN were merged together. Based on the Childhood Trauma Questionnaire cutoff scores, 24 participants were identified as maltreated and 26 as non-maltreated. Maltreated people with EDs showed a significantly lower lGI in the left middle temporal gyrus compared with non-maltreated people, whereas no differences emerged in the right hemisphere between groups. The present study showed that in people with EDs, CM is associated with reduced cortical folding in the left middle temporal gyrus, an area that could be involved in ED psychopathology. This finding corroborates the hypothesis of a 'maltreated ecophenotype', which argues that CM may allow to biologically, other than clinically, distinguish individuals with the same psychiatric disorder.
Collapse
Affiliation(s)
- Giammarco Cascino
- Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', Section of Neurosciences, University of Salerno, Salerno, Italy
| | - Antonietta Canna
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Andrea Gerardo Russo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | | | - Rossella Ceres
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Marco Carfagno
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Francesco Di Salle
- Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', Section of Neurosciences, University of Salerno, Salerno, Italy
| | - Palmiero Monteleone
- Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', Section of Neurosciences, University of Salerno, Salerno, Italy
| |
Collapse
|
42
|
Zhang Y, Zhang Y, Mao C, Jiang Z, Fan G, Wang E, Chen Y, Palaniyappan L. Association of Cortical Gyrification With Imaging and Serum Biomarkers in Patients With Parkinson Disease. Neurology 2023; 101:e311-e323. [PMID: 37268433 PMCID: PMC10382266 DOI: 10.1212/wnl.0000000000207410] [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: 10/02/2022] [Accepted: 03/30/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Pathologic progression across the cortex is a key feature of Parkinson disease (PD). Cortical gyrification is a morphologic feature of human cerebral cortex that is tightly linked to the integrity of underlying axonal connectivity. Monitoring cortical gyrification reductions may provide a sensitive marker of progression through structural connectivity, preceding the progressive stages of PD pathology. We aimed to examine the progressive cortical gyrification reductions and their associations with overlying cortical thickness, white matter (WM) integrity, striatum dopamine availability, serum neurofilament light (NfL) chain, and CSF α-synuclein levels in PD. METHODS This study included a longitudinal dataset with baseline (T0), 1-year (T1), and 4-year (T4) follow-ups and 2 cross-sectional datasets. Local gyrification index (LGI) was computed from T1-weighted MRI data to measure cortical gyrification. Fractional anisotropy (FA) was computed from diffusion-weighted MRI data to measure WM integrity. Striatal binding ratio (SBR) was measured from 123Ioflupane SPECT scans. Serum NfL and CSF α-synuclein levels were also measured. RESULTS The longitudinal dataset included 113 patients with de novo PD and 55 healthy controls (HCs). The cross-sectional datasets included 116 patients with relatively more advanced PD and 85 HCs. Compared with HCs, patients with de novo PD showed accelerated LGI and FA reductions over 1-year period and a further decline at 4-year follow-up. Across the 3 time points, the LGI paralleled and correlated with FA (p = 0.002 at T0, p = 0.0214 at T1, and p = 0.0037 at T4) and SBR (p = 0.0095 at T0, p = 0.0035 at T1, and p = 0.0096 at T4) but not with overlying cortical thickness in patients with PD. Both LGI and FA correlated with serum NfL level (LGI: p < 0.0001 at T0, p = 0.0043 at T1; FA: p < 0.0001 at T0, p = 0.0001 at T1) but not with CSF α-synuclein level in patients with PD. In the 2 cross-sectional datasets, we revealed similar patterns of LGI and FA reductions and associations between LGI and FA in patients with more advanced PD. DISCUSSION We demonstrated progressive reductions in cortical gyrification that were robustly associated with WM microstructure, striatum dopamine availability, and serum NfL level in PD. Our findings may contribute biomarkers for PD progression and potential pathways for early interventions of PD.
Collapse
Affiliation(s)
- Yuanchao Zhang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Yu Zhang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Chengjie Mao
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Zhen Jiang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Guohua Fan
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Erlei Wang
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
| | - Yifan Chen
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| | - Lena Palaniyappan
- From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada
| |
Collapse
|
43
|
Li J, Tan Z, Yi X, Fu Y, Zhu L, Zeng F, Han Z, Ren Z, Zhang Y, Chen BT. Association of brain morphology and phenotypic profile in patients with unruptured intracranial aneurysm. Front Aging Neurosci 2023; 15:1202699. [PMID: 37434739 PMCID: PMC10330710 DOI: 10.3389/fnagi.2023.1202699] [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: 04/09/2023] [Accepted: 06/12/2023] [Indexed: 07/13/2023] Open
Abstract
Introduction Studies have found a varying degree of cognitive, psychosocial, and functional impairments in patients with unruptured intracranial aneurysms (UIAs), whereas the neural correlates underlying these impairments remain unknown. Methods To examine the brain morphological alterations and white matter lesions in patients with UIA, we performed a range of structural analyses to examine the brain morphological alterations in patients with UIA compared with healthy controls (HCs). Twenty-one patients with UIA and 23 HCs were prospectively enrolled into this study. Study assessment consisted of a brain magnetic resonance imaging (MRI) scan with high-resolution T1-weighted and T2-weighted imaging data, a Montreal Cognitive Assessment (MoCA), and laboratory tests including blood inflammatory markers and serum lipids. Brain MRI data were processed for cortical thickness, local gyrification index (LGI), volume and shape of subcortical nuclei, and white matter lesions. Results Compared to the HCs, patients with UIA showed no significant differences in cortical thickness but decreased LGI values in the right posterior cingulate cortex, retrosplenial cortex, cuneus, and lingual gyrus. In addition, decreased LGI values correlated with decreased MoCA score (r = 0.498, p = 0.021) and increased white matter lesion scores (r = -0.497, p = 0.022). The LGI values were correlated with laboratory values such as inflammatory markers and serum lipids. Patients with UIA also showed significant regional atrophy in bilateral thalami as compared to the HCs. Moreover, the LGI values were significantly correlated with thalamic volume in the HCs (r = 0.4728, p = 0.0227) but not in the patients with UIA (r = 0.11, p = 0.6350). Discussion The decreased cortical gyrification, increased white matter lesions, and regional thalamic atrophy in patients with UIA might be potential neural correlates of cognitive changes in UIA.
Collapse
Affiliation(s)
- Jianyu Li
- Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China
- School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zeming Tan
- Department of Neurosurgery, Xiangya Hospital Central South University, Changsha, China
| | - Xiaoping Yi
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital Central South University, Changsha, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha, China
| | - Yan Fu
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Liping Zhu
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Feiyue Zeng
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Zaide Han
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Zhanbing Ren
- Department of Physical Education, Shenzhen University, Shenzhen, China
| | - Yuanchao Zhang
- Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China
- School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bihong T. Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| |
Collapse
|
44
|
Zhang L, Pini L, Corbetta M. Different MRI structural processing methods do not impact functional connectivity computation. Sci Rep 2023; 13:8589. [PMID: 37237072 DOI: 10.1038/s41598-023-34645-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
Resting-state functional magnetic resonance imaging (rs-fMRI) has become an increasingly popular technique. This technique can assess several features of brain connectivity, such as inter-regional temporal correlation (functional connectivity), from which graph measures of network organization can be derived. However, these measures are prone to a certain degree of variability depending on the analytical steps during preprocessing. Many studies have investigated the effect of different preprocessing steps on functional connectivity measures; however, no study investigated whether different structural reconstructions lead to different functional connectivity metrics. Here, we evaluated the impact of different structural segmentation strategies on functional connectivity outcomes. To this aim, we compared different metrics computed after two different registration strategies. The first strategy used structural information from the 3D T1-weighted image (unimodal), while the second strategy implemented a multimodal approach, where an additional registration step used the information from the T2-weighted image. The impact of these different approaches was evaluated on a sample of 58 healthy adults. As expected, different approaches led to significant differences in structural measures (i.e., cortical thickness, volume, and gyrification index), with the maximum impact on the insula cortex. However, these differences were only slightly translated to functional metrics. We reported no differences in graph measures and seed-based functional connectivity maps, but slight differences in the insula when we compared the mean functional strength for each parcel. Overall, these results suggested that functional metrics are only slightly different when using a unimodal compared to a multimodal approach, while the structural output can be significantly affected.
Collapse
Affiliation(s)
- Lu Zhang
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy
| | - Lorenzo Pini
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy
| | - Maurizio Corbetta
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy.
- Venetian Institute of Molecular Medicine (VIMM), 35129, Padua, Italy.
- Clinica Neurologica, Department of Neuroscience, University of Padova, 35131, Padua, Italy.
| |
Collapse
|
45
|
Chester SC, Ogawa T, Terao M, Nakai R, Abe N, De Brito SA. Cortical and subcortical grey matter correlates of psychopathic traits in a Japanese community sample of young adults: sex and configurations of factors' level matter! Cereb Cortex 2023; 33:5043-5054. [PMID: 36300595 PMCID: PMC10151884 DOI: 10.1093/cercor/bhac397] [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: 05/26/2022] [Revised: 09/09/2022] [Accepted: 09/10/2022] [Indexed: 11/14/2022] Open
Abstract
While neuroimaging research has examined the structural brain correlates of psychopathy predominantly in clinical/forensic male samples from western countries, much less is known about those correlates in non-western community samples. Here, structural magnetic resonance imaging data were analyzed using voxel- and surface-based morphometry to investigate the neuroanatomical correlates of psychopathic traits in a mixed-sex sample of 97 well-functioning Japanese adults (45 males, 21-39 years; M = 27, SD = 5.3). Psychopathic traits were assessed using the Self-Report Psychopathy Scale (SRP-SF; 4th Edition). Multiple regression analysis showed greater Factor 1 scores were associated with higher gyrification in the lingual gyrus, and gray matter volume in the anterior cingulate cortex and amygdala/hippocampus border. Total psychopathy and Factor 1 scores interacted with sex to, respectively, predict cortical thickness in the precuneus and gyrification in the superior temporal gyrus. Finally, Factor 1 and Factor 2 traits interacted to predict gyrification in the posterior cingulate cortex. These preliminary data suggest that, while there may be commonalities in the loci of structural brain correlates of psychopathic traits in clinical/forensic and community samples, the nature of that association might be different (i.e. positive) and may vary according to sex and configurations of factors' level.
Collapse
Affiliation(s)
- Sally C Chester
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Tatsuyoshi Ogawa
- Division of Transdisciplinary Sciences, Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
| | - Maki Terao
- Institute for the Future of Human Society, Kyoto University, Sakyo-ku, Kyoto, Kyoto, Japan
| | - Ryusuke Nakai
- Institute for the Future of Human Society, Kyoto University, Sakyo-ku, Kyoto, Kyoto, Japan
| | - Nobuhito Abe
- Institute for the Future of Human Society, Kyoto University, Sakyo-ku, Kyoto, Kyoto, Japan
| | - Stephane A De Brito
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| |
Collapse
|
46
|
Willbrand EH, Ferrer E, Bunge SA, Weiner KS. Development of Human Lateral Prefrontal Sulcal Morphology and Its Relation to Reasoning Performance. J Neurosci 2023; 43:2552-2567. [PMID: 36828638 PMCID: PMC10082454 DOI: 10.1523/jneurosci.1745-22.2023] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/25/2023] [Accepted: 02/01/2023] [Indexed: 02/26/2023] Open
Abstract
Previous findings show that the morphology of folds (sulci) of the human cerebral cortex flatten during postnatal development. However, previous studies did not consider the relationship between sulcal morphology and cognitive development in individual participants. Here, we fill this gap in knowledge by leveraging cross-sectional morphologic neuroimaging data in the lateral PFC (LPFC) from individual human participants (6-36 years old, males and females; N = 108; 3672 sulci), as well as longitudinal morphologic and behavioral data from a subset of child and adolescent participants scanned at two time points (6-18 years old; N = 44; 2992 sulci). Manually defining thousands of sulci revealed that LPFC sulcal morphology (depth, surface area, and gray matter thickness) differed between children (6-11 years old)/adolescents (11-18 years old) and young adults (22-36 years old) cross-sectionally, but only cortical thickness showed differences across childhood and adolescence and presented longitudinal changes during childhood and adolescence. Furthermore, a data-driven approach relating morphology and cognition identified that longitudinal changes in cortical thickness of four left-hemisphere LPFC sulci predicted longitudinal changes in reasoning performance, a higher-level cognitive ability that relies on LPFC. Contrary to previous findings, these results suggest that sulci may flatten either after this time frame or over a longer longitudinal period of time than previously presented. Crucially, these results also suggest that longitudinal changes in the cortex within specific LPFC sulci are behaviorally meaningful, providing targeted structures, and areas of the cortex, for future neuroimaging studies examining the development of cognitive abilities.SIGNIFICANCE STATEMENT Recent work has shown that individual differences in neuroanatomical structures (indentations, or sulci) within the lateral PFC are behaviorally meaningful during childhood and adolescence. Here, we describe how specific lateral PFC sulci develop at the level of individual participants for the first time: from both cross-sectional and longitudinal perspectives. Further, we show, also for the first time, that the longitudinal morphologic changes in these structures are behaviorally relevant. These findings lay the foundation for a future avenue to precisely study the development of the cortex and highlight the importance of studying the development of sulci in other cortical expanses and charting how these changes relate to the cognitive abilities those areas support at the level of individual participants.
Collapse
Affiliation(s)
- Ethan H Willbrand
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Emilio Ferrer
- Department of Psychology
- Center for Mind and Brain, University of California-Davis, Davis, California 95616
| | - Silvia A Bunge
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Kevin S Weiner
- Department of Psychology
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| |
Collapse
|
47
|
Broce IJ, Caverzasi E, Sacco S, Nillo RM, Paoletti M, Desikan RS, Geschwind M, Sugrue LP. PRNP expression predicts imaging findings in sporadic Creutzfeldt-Jakob disease. Ann Clin Transl Neurol 2023; 10:536-552. [PMID: 36744645 PMCID: PMC10109249 DOI: 10.1002/acn3.51739] [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: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE We explored the relationship between regional PRNP expression from healthy brain tissue and patterns of increased and decreased diffusion and regional brain atrophy in patients with sporadic Creutzfeldt-Jakob disease (sCJD). METHODS We used PRNP microarray data from 6 healthy adult brains from Allen Brain Institute and T1-weighted and diffusion-weighted MRIs from 34 patients diagnosed with sCJD and 30 age- and sex-matched healthy controls to construct partial correlation matrices across brain regions for specific measures of interest: PRNP expression, mean diffusivity, volume, cortical thickness, and local gyrification index, a measure of cortical folding. RESULTS Regional patterns of PRNP expression in the healthy brain correlated with regional patterns of diffusion signal abnormalities and atrophy in sCJD. Among different measures of cortical morphology, regional patterns of local gyrification index in sCJD most strongly correlated with regional patterns of PRNP expression. At the vertex-wise level, different molecular subtypes of sCJD showed distinct regional correlations in local gyrification index across the cortex. Local gyrification index correlation patterns most closely matched patterns of PRNP expression in sCJD subtypes known to have greatest pathologic involvement of the cerebral cortex. INTERPRETATION These results suggest that the specific genetic and molecular environment in which the prion protein is expressed confer variable vulnerability to misfolding across different brain regions that is reflected in patterns of imaging findings in sCJD. Further work in larger samples will be needed to determine whether these regional imaging patterns can serve as reliable markers of distinct disease subtypes to improve diagnosis and treatment targeting.
Collapse
Affiliation(s)
- Iris J. Broce
- Weill Institute for Neurosciences, Department of NeurologyUniversity of California, San Francisco, UCSFSan FranciscoCaliforniaUSA
- Department of NeurosciencesUniversity of California, San DiegoSan DiegoCaliforniaUSA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of NeurologyUniversity of California, San Francisco, UCSFSan FranciscoCaliforniaUSA
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Simone Sacco
- Weill Institute for Neurosciences, Department of NeurologyUniversity of California, San Francisco, UCSFSan FranciscoCaliforniaUSA
- Division of Neuroimaging, Department of Medical ImagingUniversity of TorontoTorontoOntarioCanada
| | - Ryan Michael Nillo
- Neuroradiology Section, Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Matteo Paoletti
- Weill Institute for Neurosciences, Department of NeurologyUniversity of California, San Francisco, UCSFSan FranciscoCaliforniaUSA
- Advanced Imaging and Radiomics Center, Neuroradiology DepartmentIRCCS Mondino FoundationPaviaItaly
| | - Rahul S. Desikan
- Neuroradiology Section, Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Michael Geschwind
- Weill Institute for Neurosciences, Department of NeurologyUniversity of California, San Francisco, UCSFSan FranciscoCaliforniaUSA
| | - Leo P. Sugrue
- Neuroradiology Section, Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| |
Collapse
|
48
|
Zhang W, Du JL, Fang XY, Ni LY, Zhu YY, Yan W, Lu SP, Zhang RR, Xie SP. Shared and distinct structural brain alterations and cognitive features in drug-naïve schizophrenia and bipolar disorder. Asian J Psychiatr 2023; 82:103513. [PMID: 36827938 DOI: 10.1016/j.ajp.2023.103513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 02/13/2023]
Abstract
Our study aimed to examine the shared and distinct structural brain alterations, including cortical thickness(CT) and local gyrification index(LGI), and cognitive impairments between the early course stage of drug-naïve schizophrenia(SZ) and bipolar disorder(BD) patients when compared to healthy controls(HCs), and to further explore the correlation between altered brain structure and cognitive impairments. We included 72 SZ patients, 35 BD patients and 43 HCs. The cognitive function was assessed using the MATRICS Consensus Cognitive Battery. Cerebral cortex analyses were performed with FreeSurfer. Furthermore, any structural aberrations related to cognition impairments were examined. Cognitive impairments existed in SZ and BD patients and were much more severe and widespread in SZ patients, compared to HCs. There were no significant differences in LGI among three groups. Compared to HCs, SZ had thicker cortex in left pars triangularis, and BD showed thinner CT in left postcentral gyrus. In addition, BD showed thinner cortex in left pars triangularis, left pars opercularis, left insula and right fusiform gyrus compared to SZ. Moreover, our results indicated that CT in many brain areas were significantly correlated with cognitive function in HCs, but only CT of left pars triangularis was correlated with impaired social cognition found in SZ. The findings suggest that changes of CT in the left pars triangularis and left postcentral gyrus may be potential pathophysiological mechanisms of the cognition impairments in SZ and BD, respectively, and the divergent CT of partly brain areas in BD vs. SZ may help distinguish them in early phases.
Collapse
Affiliation(s)
- Wei Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Jing-Lun Du
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Xing-Yu Fang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Long-Yan Ni
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Yuan-Yuan Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Wei Yan
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Shui-Ping Lu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Rong-Rong Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| | - Shi-Ping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
| |
Collapse
|
49
|
Gan C, Cao X, Wang L, Sun H, Ji M, Zhang H, Yuan Y, Zhang K. Cholinergic basal forebrain atrophy in Parkinson's disease with freezing of gait. Ann Clin Transl Neurol 2023; 10:814-824. [PMID: 37000969 DOI: 10.1002/acn3.51769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 02/21/2023] [Accepted: 03/19/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Mounting research support that cholinergic dysfunction plays a prominent role in freezing of gait (FOG), which commonly occurs in Parkinson's disease (PD). Basal forebrain (BF), especially the cholinergic nuclei 4 (Ch4), provides the primary source of the brain cholinergic input. However, whether the degeneration of BF and its innervated cortex contribute to the pathogenesis of FOG is unknown. OBJECTIVE To explore the role of structural alterations of BF and its innervated cortical brain regions in the pathogenesis of PD patients with freezing. METHODS Magnetic resonance imaging assessments and neurological assessments were performed on 20 PD patients with FOG (PD-FOG), 20 without FOG (PD-NFOG), and 21 healthy participants. Subregion volumes of the BF were compared among groups. Local gyrification index (LGI) was computed to reveal the cortical alternations. Relationships among subregional BF volumes, LGI, and the severity of FOG were evaluated by multiple linear regression. RESULTS Our study discovered that, compared to PD-NFOG, PD-FOG exhibited significant Ch4 atrophy (p = 4.6 × 10-5 ), accompanied by decreased LGI values in the left entorhinal cortex (p = 3.00 × 10-5 ) and parahippocampal gyrus (p = 2.90 × 10-5 ). Based on the regression analysis, Ch4 volume was negatively associated with FOG severity in PD-FOG group (β = -12.224, T = -2.556, p = 0.031). INTERPRETATION Our results imply that Ch4 degeneration and microstructural disorganization of its innervated cortical brain regions may play important roles in PD-FOG.
Collapse
|
50
|
da Rocha JLD, Kepinska O, Schneider P, Benner J, Degano G, Schneider L, Golestani N. Multivariate Concavity Amplitude Index (MCAI) for characterizing Heschl's gyrus shape. Neuroimage 2023; 272:120052. [PMID: 36965861 DOI: 10.1016/j.neuroimage.2023.120052] [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: 09/15/2022] [Revised: 03/21/2023] [Accepted: 03/22/2023] [Indexed: 03/27/2023] Open
Abstract
Heschl's gyrus (HG), which includes primary auditory cortex, is highly variable in its shape (i.e. gyrification patterns), between hemispheres and across individuals. Differences in HG shape have been observed in the context of phonetic learning skill and expertise, and of professional musicianship, among others. Two of the most common configurations of HG include single HG, where a single transverse temporal gyrus is present, and common stem duplications (CSD), where a sulcus intermedius (SI) arises from the lateral aspect of HG. Here we describe a new toolbox, called 'Multivariate Concavity Amplitude Index' (MCAI), which automatically assesses the shape of HG. MCAI works on the output of TASH, our first toolbox which automatically segments HG, and computes continuous indices of concavity, which arise when sulci are present, along the outer perimeter of an inflated representation of HG, in a directional manner. Thus, MCAI provides a multivariate measure of shape, which is reproducible and sensitive to small variations in shape. We applied MCAI to structural magnetic resonance imaging (MRI) data of N=181 participants, including professional and amateur musicians and from non-musicians. Former studies have shown large variations in HG shape in the former groups. We validated MCAI by showing high correlations between the dominant (i.e. highest) lateral concavity values and continuous visual assessments of the degree of lateral gyrification of the first gyrus. As an application of MCAI, we also replicated previous visually obtained findings showing a higher likelihood of bilateral CSDs in musicians. MCAI opens a wide range of applications in evaluating HG shape in the context of individual differences, expertise, disorder and genetics.
Collapse
Affiliation(s)
- Josué Luiz Dalboni da Rocha
- Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, USA; Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.
| | - Olga Kepinska
- Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria; Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Peter Schneider
- Department of Neuroradiology and Department of Neurology, Section of Biomagnetism, University of Heidelberg Hospital, Heidelberg, Germany; Centre for Systematic Musicology, University of Graz, Graz, Austria; Vitols Jazeps Latvian Academy of Music, Riga, Latvia
| | - Jan Benner
- Department of Neuroradiology and Department of Neurology, Section of Biomagnetism, University of Heidelberg Hospital, Heidelberg, Germany
| | - Giulio Degano
- Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland
| | - Letitia Schneider
- Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria
| | - Narly Golestani
- Brain and Language Lab, Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Brain and Language Lab, Cognitive Science Hub, University of Vienna, Vienna, Austria; Department of Behavioral and Cognitive Biology, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| |
Collapse
|