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Martins B, Baba MY, Dimateo EM, Costa LF, Camara AS, Lukasova K, Nucci MP. Investigating Dyslexia through Diffusion Tensor Imaging across Ages: A Systematic Review. Brain Sci 2024; 14:349. [PMID: 38672001 PMCID: PMC11047980 DOI: 10.3390/brainsci14040349] [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: 02/29/2024] [Revised: 03/17/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
Dyslexia is a neurodevelopmental disorder that presents a deficit in accuracy and/or fluency while reading or spelling that is not expected given the level of cognitive functioning. Research indicates brain structural changes mainly in the left hemisphere, comprising arcuate fasciculus (AF) and corona radiata (CR). The purpose of this systematic review is to better understand the possible methods for analyzing Diffusion Tensor Imaging (DTI) data while accounting for the characteristics of dyslexia in the last decade of the literature. Among 124 articles screened from PubMed and Scopus, 49 met inclusion criteria, focusing on dyslexia without neurological or psychiatric comorbidities. Article selection involved paired evaluation, with a third reviewer resolving discrepancies. The selected articles were analyzed using two topics: (1) a demographic and cognitive assessment of the sample and (2) DTI acquisition and analysis. Predominantly, studies centered on English-speaking children with reading difficulties, with preserved non-verbal intelligence, attention, and memory, and deficits in reading tests, rapid automatic naming, and phonological awareness. Structural differences were found mainly in the left AF in all ages and in the bilateral superior longitudinal fasciculus for readers-children and adults. A better understanding of structural brain changes of dyslexia and neuroadaptations can be a guide for future interventions.
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Affiliation(s)
- Bruce Martins
- Laboratório de Investigação Médica em Neurorradiologia—LIM44—Hospital das Clínicas da Faculdade Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil; (B.M.); (M.Y.B.); (E.M.D.)
| | - Mariana Yumi Baba
- Laboratório de Investigação Médica em Neurorradiologia—LIM44—Hospital das Clínicas da Faculdade Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil; (B.M.); (M.Y.B.); (E.M.D.)
| | - Elisa Monteiro Dimateo
- Laboratório de Investigação Médica em Neurorradiologia—LIM44—Hospital das Clínicas da Faculdade Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil; (B.M.); (M.Y.B.); (E.M.D.)
| | - Leticia Fruchi Costa
- Centro de Matemática, Computação e Cognição (CMCC), Universidade Federal do ABC, Santo André 09210-580, Brazil; (L.F.C.); (A.S.C.); (K.L.)
| | - Aila Silveira Camara
- Centro de Matemática, Computação e Cognição (CMCC), Universidade Federal do ABC, Santo André 09210-580, Brazil; (L.F.C.); (A.S.C.); (K.L.)
| | - Katerina Lukasova
- Centro de Matemática, Computação e Cognição (CMCC), Universidade Federal do ABC, Santo André 09210-580, Brazil; (L.F.C.); (A.S.C.); (K.L.)
| | - Mariana Penteado Nucci
- Laboratório de Investigação Médica em Neurorradiologia—LIM44—Hospital das Clínicas da Faculdade Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil; (B.M.); (M.Y.B.); (E.M.D.)
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Pourzinal D, Yang JHJ, Bakker A, McMahon KL, Byrne GJ, Pontone GM, Mari Z, Dissanayaka NN. Hippocampal correlates of episodic memory in Parkinson's disease: A systematic review of magnetic resonance imaging studies. J Neurosci Res 2021; 99:2097-2116. [PMID: 34075634 DOI: 10.1002/jnr.24863] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/09/2021] [Accepted: 05/11/2021] [Indexed: 12/15/2022]
Abstract
The present review asks whether magnetic resonance imaging (MRI) studies are able to define neural correlates of episodic memory within the hippocampus in Parkinson's disease (PD). Systematic searches were performed in PubMed, Web of Science, Medline, CINAHL, and EMBASE using search terms related to structural and functional MRI (fMRI), the hippocampus, episodic memory, and PD. Risk of bias was assessed for each study using the Newtown-Ottawa Scale. Thirty-nine studies met inclusion criteria; eight fMRI, seven diffusion MRI (dMRI), and 24 structural MRI (14 exploring whole hippocampus and 10 exploring hippocampal subfields). Critical analysis of the literature revealed mixed evidence from functional and dMRI, but stronger evidence from sMRI of the hippocampus as a biomarker for episodic memory impairment in PD. Hippocampal subfield studies most often implicated CA1, CA3/4, and subiculum volume in episodic memory and cognitive decline in PD. Despite differences in imaging methodology, study design, and sample characteristics, MRI studies have helped elucidate an important neural correlate of episodic memory impairment in PD with both clinical and theoretical implications. Natural progression of this work encourages future research on hippocampal subfield function as a potential biomarker of, or therapeutic target for, episodic memory dysfunction in PD.
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Affiliation(s)
- Dana Pourzinal
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia
| | - Ji Hyun J Yang
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Katie L McMahon
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Gerard J Byrne
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia.,Mental Health Service, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia
| | - Gregory M Pontone
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Zoltan Mari
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Nadeeka N Dissanayaka
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia.,Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane, QLD, Australia.,School of Psychology, The University of Queensland, Brisbane, QLD, Australia
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Schwarz CG. Uses of Human MR and PET Imaging in Research of Neurodegenerative Brain Diseases. Neurotherapeutics 2021; 18:661-672. [PMID: 33723751 PMCID: PMC8423895 DOI: 10.1007/s13311-021-01030-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 01/18/2023] Open
Abstract
In the past decades, many neuroimaging studies have aimed to improve the scientific understanding of human neurodegenerative diseases using MRI and PET. This article is designed to provide an overview of the major classes of brain imaging and how/why they are used in this line of research. It is intended as a primer for individuals who are relatively unfamiliar with the methods of neuroimaging research to gain a better understanding of the vocabulary and overall methodologies. It is not intended to describe or review any research findings for any disease or biology, but rather to broadly describe the imaging methodologies that are used in conducting this neurodegeneration research. We will also review challenges and strategies for analyzing neuroimaging data across multiple sites and studies, i.e., harmonization and standardization of imaging data for multi-site and meta-analyses.
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Effect of b Value on Imaging Quality for Diffusion Tensor Imaging of the Spinal Cord at Ultrahigh Field Strength. BIOMED RESEARCH INTERNATIONAL 2021; 2021:4836804. [PMID: 33506018 PMCID: PMC7806383 DOI: 10.1155/2021/4836804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 12/21/2022]
Abstract
Objective To explore the optimal b value setting for diffusion tensor imaging of rats' spinal cord at ultrahigh field strength (7 T). Methods Spinal cord diffusion tensor imaging data were collected from 14 rats (5 healthy, 9 spinal cord injured) with a series of b values (200, 300, 400, 500, 600, 700, 800, 900, and 1000 s/mm2) under the condition that other scanning parameters were consistent. The image quality (including image signal-to-noise ratio and image distortion degree) and data quality (i.e., the stability and consistency of the DTI-derived parameters, referred to as data stability and data consistency) were quantitatively evaluated. The min-max normalization method was used to process the calculation results of the four indicators. Finally, the image and data quality under each b value were synthesized to determine the optimal b value. Results b = 200 s/mm2 and b = 900 s/mm2 ranked in the top two of the comprehensive evaluation, with the best image quality at b = 200 s/mm2 and the best data quality at b = 900 s/mm2. Conclusion Considering the shortcomings of the ability of low b values to reflect the microstructure, b = 900 s/mm2 can be used as the optimal b value for 7 T spinal cord diffusion tensor scanning.
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Chirchiglia D, Chirchiglia P, Latorre D. An update of the imaging and diagnostic techniques in use for the preservation of eloquent areas in brain tumor surgery – An opinion paper. INTERDISCIPLINARY NEUROSURGERY 2020. [DOI: 10.1016/j.inat.2019.100611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Bopp MH, Pietruk PM, Nimsky C, Carl B. Fiber tractography of the optic radiations: impact of diffusion model, voxel shape and orientation. J Neurosurg Sci 2019; 65:494-502. [PMID: 30724054 DOI: 10.23736/s0390-5616.19.04622-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Reliable visualization of the optic radiations (OR) is of major importance in tumor surgery close to the OR to prevent permanent visual field deficits. Diffusion tensor imaging (DTI) based fiber tractography (FT) has become a standard tool to visualize major white matter tracts and to support the prevention of postoperative deficits. Nevertheless, FT of the OR is notoriously challenging due to its high neuroanatomical complexity. METHODS To improve FT of the OR we analyzed the effect of a more complex diffusion model and the effect of different voxel shapes and orientations. MRI data of 21 healthy subjects was acquired using isometric and anisometric voxel sizes and standard and adapted slice angulation. FT was performed using the DTI based approach and an orientation distribution function (ODF) based approach. Results were visually inspected, and fiber tract volumes were compared. RESULTS DTI based FT led to poor results, failing to reconstruct plausible tracts at all in up to 26.11 % of all cases. The ODF based approach resulted in more compound and solid tracts showing also significantly larger tract volumes. Voxel shape or orientation did not influence DTI but ODF based FT. Isometric or anisometric voxels with standard slice orientation revealed highest tract volumes. Adapted orientation in combination with anisometric voxels led to significantly smaller tract volumes. CONCLUSIONS Plausible tractography of the OR can be achieved using ODF based fiber tracking within a clinically feasible timeframe. Voxel shape and orientation seem to be of minor importance and might be kept to isometric voxel for flexible application of FT.
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Affiliation(s)
- Miriam H Bopp
- Department of Neurosurgery, University of Marburg, Marburg, Germany - .,Marburg Center for Mind, Brain and Behavior, Marburg, Germany -
| | - Peter M Pietruk
- Department of Neurosurgery, University of Marburg, Marburg, Germany
| | - Christopher Nimsky
- Department of Neurosurgery, University of Marburg, Marburg, Germany.,Marburg Center for Mind, Brain and Behavior, Marburg, Germany
| | - Barbara Carl
- Department of Neurosurgery, University of Marburg, Marburg, Germany.,Marburg Center for Mind, Brain and Behavior, Marburg, Germany
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Münnich T, Klein J, Hattingen E, Noack A, Herrmann E, Seifert V, Senft C, Forster MT. Tractography Verified by Intraoperative Magnetic Resonance Imaging and Subcortical Stimulation During Tumor Resection Near the Corticospinal Tract. Oper Neurosurg (Hagerstown) 2018; 16:197-210. [DOI: 10.1093/ons/opy062] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 03/08/2018] [Indexed: 02/07/2023] Open
Abstract
Abstract
BACKGROUND
Tractography is a popular tool for visualizing the corticospinal tract (CST). However, results may be influenced by numerous variables, eg, the selection of seeding regions of interests (ROIs) or the chosen tracking algorithm.
OBJECTIVE
To compare different variable sets by correlating tractography results with intraoperative subcortical stimulation of the CST, correcting intraoperative brain shift by the use of intraoperative MRI.
METHODS
Seeding ROIs were created by means of motor cortex segmentation, functional MRI (fMRI), and navigated transcranial magnetic stimulation (nTMS). Based on these ROIs, tractography was run for each patient using a deterministic and a probabilistic algorithm. Tractographies were processed on pre- and postoperatively acquired data.
RESULTS
Using a linear mixed effects statistical model, best correlation between subcortical stimulation intensity and the distance between tractography and stimulation sites was achieved by using the segmented motor cortex as seeding ROI and applying the probabilistic algorithm on preoperatively acquired imaging sequences. Tractographies based on fMRI or nTMS results differed very little, but with enlargement of positive nTMS sites the stimulation-distance correlation of nTMS-based tractography improved.
CONCLUSION
Our results underline that the use of tractography demands for careful interpretation of its virtual results by considering all influencing variables.
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Affiliation(s)
- Timo Münnich
- Department of Neurosurgery, Goet-he University Hospital, Frankfurt am Main, Germany
| | - Jan Klein
- Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, Germany
| | - Elke Hattingen
- Department of Neuroradiology, Goethe University Hospital, Frankfurt am Main, Germa-ny
| | - Anika Noack
- Department of Neurosurgery, Goet-he University Hospital, Frankfurt am Main, Germany
| | - Eva Herrmann
- Institute for Biostatistics and Math-ematical Modelling, Goethe-University Hospital, Frankfurt am Main, Germany
| | - Volker Seifert
- Department of Neurosurgery, Goet-he University Hospital, Frankfurt am Main, Germany
| | - Christian Senft
- Department of Neurosurgery, Goet-he University Hospital, Frankfurt am Main, Germany
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