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Haghshomar M, Shobeiri P, Seyedi SA, Abbasi-Feijani F, Poopak A, Sotoudeh H, Kamali A, Aarabi MH. Cerebellar Microstructural Abnormalities in Parkinson's Disease: a Systematic Review of Diffusion Tensor Imaging Studies. CEREBELLUM (LONDON, ENGLAND) 2022; 21:545-571. [PMID: 35001330 DOI: 10.1007/s12311-021-01355-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the neural fibers of the CNS. This technique can study white matter (WM) microstructure in neurodegenerative disorders, including Parkinson's disease (PD). Previous neuroimaging studies have suggested cerebellar involvement in the pathogenesis of PD, and these cerebellum alterations can correlate with PD symptoms and stages. Using the PRISMA 2020 framework, PubMed and EMBASE were searched to retrieve relevant articles. Our search revealed 472 articles. After screening titles and abstracts, and full-text review, and implementing the inclusion criteria, 68 papers were selected for synthesis. Reviewing the selected studies revealed that the patterns of reduction in cerebellum WM integrity, assessed by fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity measures can differ symptoms and stages of PD. Cerebellar diffusion tensor imaging (DTI) changes in PD patients with "postural instability and gait difficulty" are significantly different from "tremor dominant" PD patients. Freezing of the gate is strongly related to cerebellar involvement depicted by DTI. The "reduced cognition," "visual disturbances," "sleep disorders," "depression," and "olfactory dysfunction" are not related to cerebellum microstructural changes on DTI, while "impulsive-compulsive behavior" can be linked to cerebellar WM alteration. Finally, higher PD stages and longer disease duration are associated with cerebellum white matter alteration depicted by DTI. Depiction of cerebellar white matter involvement in PD is feasible by DTI. There is an association with disease duration and severity and several clinical presentations with DTI findings. This clinical-imaging association may eventually improve disease management.
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Affiliation(s)
- Maryam Haghshomar
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Parnian Shobeiri
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, No. 10, Al-e-Ahmad and Chamran Highway intersection, Tehran, 1411713137, Iran.
| | | | | | - Amirhossein Poopak
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Houman Sotoudeh
- Department of Radiology and Neurology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Arash Kamali
- Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, USA
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), Padova Neuroscience Center-PNC, University of Padova, Padua, Italy
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2
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Chan YH, Wang C, Soh WK, Rajapakse JC. Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks. Front Neurosci 2022; 16:866666. [PMID: 35677355 PMCID: PMC9168232 DOI: 10.3389/fnins.2022.866666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/06/2022] [Indexed: 11/13/2022] Open
Abstract
Both neuroimaging and genomics datasets are often gathered for the detection of neurodegenerative diseases. Huge dimensionalities of neuroimaging data as well as omics data pose tremendous challenge for methods integrating multiple modalities. There are few existing solutions that can combine both multi-modal imaging and multi-omics datasets to derive neurological insights. We propose a deep neural network architecture that combines both structural and functional connectome data with multi-omics data for disease classification. A graph convolution layer is used to model functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) data simultaneously to learn compact representations of the connectome. A separate set of graph convolution layers are then used to model multi-omics datasets, expressed in the form of population graphs, and combine them with latent representations of the connectome. An attention mechanism is used to fuse these outputs and provide insights on which omics data contributed most to the model's classification decision. We demonstrate our methods for Parkinson's disease (PD) classification by using datasets from the Parkinson's Progression Markers Initiative (PPMI). PD has been shown to be associated with changes in the human connectome and it is also known to be influenced by genetic factors. We combine DTI and fMRI data with multi-omics data from RNA Expression, Single Nucleotide Polymorphism (SNP), DNA Methylation and non-coding RNA experiments. A Matthew Correlation Coefficient of greater than 0.8 over many combinations of multi-modal imaging data and multi-omics data was achieved with our proposed architecture. To address the paucity of paired multi-modal imaging data and the problem of imbalanced data in the PPMI dataset, we compared the use of oversampling against using CycleGAN on structural and functional connectomes to generate missing imaging modalities. Furthermore, we performed ablation studies that offer insights into the importance of each imaging and omics modality for the prediction of PD. Analysis of the generated attention matrices revealed that DNA Methylation and SNP data were the most important omics modalities out of all the omics datasets considered. Our work motivates further research into imaging genetics and the creation of more multi-modal imaging and multi-omics datasets to study PD and other complex neurodegenerative diseases.
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Affiliation(s)
| | | | | | - Jagath C. Rajapakse
- School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore
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3
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Crowley SJ, Banan G, Amin M, Tanner JJ, Hizel L, Nguyen P, Brumback B, Rodriguez K, McFarland N, Bowers D, Ding M, Mareci TA, Price CC. Statistically Defined Parkinson's Disease Executive and Memory Cognitive Phenotypes: Demographic, Behavioral, and Structural Neuroimaging Comparisons. JOURNAL OF PARKINSONS DISEASE 2021; 11:283-297. [PMID: 33216042 DOI: 10.3233/jpd-202166] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Some individuals with Parkinson's disease (PD) experience working memory and inhibitory difficulties, others learning and memory difficulties, while some only minimal to no cognitive deficits for many years. OBJECTIVE To statistically derive PD executive and memory phenotypes, and compare PD phenotypes on disease and demographic variables, vascular risk factors, and specific neuroimaging variables with known associations to executive and memory function relative to non-PD peers. METHODS Non-demented individuals with PD (n = 116) and non-PD peers (n = 62) were recruited to complete neuropsychology measures, blood draw, and structural magnetic resonance imaging. Tests representing the cognitive domains of interest (4 executive function, 3 memory) were included in a k-means cluster analysis comprised of the PD participants. Resulting clusters were compared demographic and disease-related variables, vascular risk markers, gray/white regions of interest, and white matter connectivity between known regions involved in executive and memory functions (dorsolateral prefrontal cortices to caudate nuclei; entorhinal cortices to hippocampi). RESULTS Clusters showed: 1) PD Executive, n = 25; 2) PD Memory, n = 35; 3) PD Cognitively Well; n = 56. Even after disease variable corrections, PD Executive had less subcortical gray matter, white matter, and fewer bilateral dorsolateral-prefrontal cortex to caudate nucleus connections; PD Memory showed bilaterally reduced entorhinal-hippocampal connections. PD Cognitively Well showed only reduced putamen volume and right entorhinal cortex to hippocampi connections relative to non-PD peers. Groups did not statistically differ on cortical integrity measures or cerebrovascular disease markers. CONCLUSION PD cognitive phenotypes showed different structural gray and white matter patterns. We discuss data relative to phenotype demographics, cognitive patterns, and structural brain profiles.
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Affiliation(s)
- Samuel J Crowley
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Guita Banan
- Department of Biochemistry and Molecular Biology, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Manish Amin
- Department of Biochemistry and Molecular Biology, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Jared J Tanner
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Loren Hizel
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Peter Nguyen
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Babette Brumback
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Katie Rodriguez
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Nikolaus McFarland
- Department of Neurology, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Dawn Bowers
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Mingzhou Ding
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Thomas A Mareci
- Department of Biochemistry and Molecular Biology, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
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Dion C, Frank BE, Crowley SJ, Hizel LP, Rodriguez K, Tanner JJ, Libon DJ, Price CC. Parkinson's Disease Cognitive Phenotypes Show Unique Clock Drawing Features when Measured with Digital Technology. JOURNAL OF PARKINSON'S DISEASE 2021; 11:779-791. [PMID: 33682726 PMCID: PMC8108094 DOI: 10.3233/jpd-202399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND A companion paper (Crowley et al., 2020) reports on the neuroimaging and neuropsychological profiles of statistically determined idiopathic non-dementia Parkinson's disease (PD). OBJECTIVE The current investigation sought to further examine subtle behavioral clock drawing differences within the same PD cohort by comparing 1) PD to non-PD peers on digitally acquired clock drawing latency and graphomotor metrics, and 2) PD memory, executive, and cognitively well phenotypes on the same variables. METHODS 230 matched participants (115 PD, 115 non-PD) completed neuropsychological tests and dCDT. Statistically-derived PD cognitive phenotypes characterized PD participants as PD low executive (PDExe; n = 25), PD low memory (PDMem; n = 34), PD cognitively well (PDWell; n = 56). Using a Bayesian framework and based on apriori hypotheses, we compared groups on: total completion time (TCT), pre-first hand latency (PFHL), post-clock face latency (PCFL), total clock face area (TCFA), and total number of pen strokes. RESULTS Fewer strokes and slower performance to command were associated with higher odds of PD diagnosis, while a larger clock face in the copy condition was associated with lower odds of PD diagnosis. Within PD cognitive phenotypes, slower performance (TCT, PCFL) and smaller clock face to command were associated with higher odds of being PDExe than PDWell, whereas larger clock faces associated with higher odds of being PDMem than PDWell. Longer disease duration, more pen strokes (command) and smaller clocks (command) associated with higher odds of being PDExe than PDWell. CONCLUSION Digitally-acquired clock drawing profiles differ between PD and non-PD peers, and distinguish PD cognitive phenotypes.
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Affiliation(s)
- Catherine Dion
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - Brandon E Frank
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - Samuel J Crowley
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - Loren P Hizel
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - Katie Rodriguez
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - Jared J Tanner
- Department of Clinical and Health Psychology, Gainesville, FL, USA
| | - David J Libon
- Departments of Geriatrics and Gerontology and Psychology, School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, Gainesville, FL, USA
- Perioperative Cognitive Anesthesia Network, University of Florida, Gainesville, FL, USA
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Cruz-Almeida Y, Crowley SJ, Tanner J, Price CC. Pain Severity and Interference in Different Parkinson's Disease Cognitive Phenotypes. J Pain Res 2020; 13:3493-3497. [PMID: 33402845 PMCID: PMC7778379 DOI: 10.2147/jpr.s270669] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 10/29/2020] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Chronic pain is prevalent in idiopathic Parkinson's disease (PD) with many individuals also experiencing cognitive deficits negatively impacting everyday life. METHODS In this study, we examine differences in pain severity and interference between 113 nondemented individuals with idiopathic PD who were statistically classified as having low executive function (n=24), low memory function (n=35), no cognitive deficits (n=54). The individuals with PD were also compared to matched non-PD controls (n=64). RESULTS PD participants with low executive function reported significantly higher pain interference (p<0.05), despite reporting similar pain severity levels compared to other phenotypes. These differences remained statistically significant, even after accounting for important confounders such as anxiety and depression (p<0.05). DISCUSSION Pain interference in those with lower executive function may represent a target for psychosocial interventions for individuals with pain and PD.
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Affiliation(s)
- Yenisel Cruz-Almeida
- Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, FL, USA
| | - Samuel J Crowley
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Jared Tanner
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
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6
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Wang Z, Bai L, Liu Q, Wang S, Sun C, Zhang M, Zhang Y. Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis. Ann Clin Transl Neurol 2020; 7:2409-2420. [PMID: 33119959 PMCID: PMC7732249 DOI: 10.1002/acn3.51231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 09/24/2020] [Accepted: 10/06/2020] [Indexed: 12/29/2022] Open
Abstract
Objective To investigate regional white matter fibers loss in Leukoaraiosis (LA) and its relationship with cognitive impairments. Methods Fifty‐six participants with LA and 38 healthy controls underwent clinical evaluations and MR scans. Participants with LA were classified as cognitively normal (LA‐NC, n = 18), vascular cognitive impairment of none dementia (LA‐VCIND, n = 24), and vascular dementia (LA‐VaD, n = 14) by Mini‐Mental State Examination and Clinical Dementia Rating. Cognitive domains including visual‐spatial, naming, attention, language, abstraction, memory, and orientation were assessed. With the use of Tract‐based spatial statistics, mean fractional anisotropy (FA) of major white matter fiber tracts were compared between LA and controls and among LA groups with varying levels of cognitive impairments. Regression analyses were performed to evaluate relationships between FA values and cognitive performance. Results Participants showed significant FA reduction in the corpus callosum (CC), bilateral corona radiata, anterior limb of the internal capsule, external capsule, posterior thalamic radiation, and superior longitudinal fasciculus compared to controls and across LA groups. The LA‐VaD group showed consistent damage in the body and genu of CC compared to the LA‐NC and LA‐VCIND groups. A positive correlation between visual‐spatial and FA reduction in right anterior corona radiates in LA‐VCIND and body of CC in LA‐ VaD. Interpretation We found regional fiber loss in the CC across the cognitive spectrum in patients with LA and correlations between FA and visuospatial impairment in the anterior corona radiata in patients with LA‐VCIND and in the body of CC in patients with LA‐VaD.
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Affiliation(s)
- Zhuonan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.,Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Qi Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Chuanzhu Sun
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yumei Zhang
- Department of Rehabilitation, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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7
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Brandão PRP, Munhoz RP, Grippe TC, Cardoso FEC, de Almeida E Castro BM, Titze-de-Almeida R, Tomaz C, Tavares MCH. Cognitive impairment in Parkinson's disease: A clinical and pathophysiological overview. J Neurol Sci 2020; 419:117177. [PMID: 33068906 DOI: 10.1016/j.jns.2020.117177] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/16/2020] [Accepted: 10/08/2020] [Indexed: 11/29/2022]
Abstract
Cognitive dysfunction in Parkinson's disease (PD) has received increasing attention, and, together with other non-motor symptoms, exert a significant functional impact in the daily lives of patients. This article aims to compile and briefly summarize selected published data about clinical features, cognitive evaluation, biomarkers, and pathophysiology of PD-related dementia (PDD). The literature search included articles indexed in the MEDLINE/PubMed database, published in English, over the last two decades. Despite significant progress on clinical criteria and cohort studies for PD-mild cognitive impairment (PD-MCI) and PDD, there are still knowledge gaps about its exact molecular and pathological basis. Here we overview the scientific literature on the role of functional circuits, neurotransmitter systems (monoaminergic and cholinergic), basal forebrain, and brainstem nuclei dysfunction in PD-MCI. Correlations between neuroimaging and cerebrospinal fluid (CSF) biomarkers, clinical outcomes, and pathological results are described to aid in uncovering the neurodegeneration pattern in PD-MCI and PDD.
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Affiliation(s)
- Pedro Renato P Brandão
- Laboratory of Neuroscience and Behavior, Institute of Biological Sciences, Universidade de Brasília (UnB); Neurology Section, Medical Department, Chamber of Deputies of the Federal Republic of Brazil, Brasília, DF, Brazil.
| | - Renato Puppi Munhoz
- Toronto Western Hospital, Movement Disorders Centre, Toronto Western Hospital - UHN, Division of Neurology, University of Toronto, Toronto, Canada.
| | - Talyta Cortez Grippe
- Laboratory of Neuroscience and Behavior, Institute of Biological Sciences, Universidade de Brasília (UnB); Movement Disorders Group, Neurology Unit, Hospital de Base do Distrito Federal; School of Medicine, Centro Universitário de Brasília (UniCEUB), Brasília, DF, Brazil
| | - Francisco Eduardo Costa Cardoso
- Movement Disorders Unit, Internal Medicine Department, Neurology Service, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | | | - Ricardo Titze-de-Almeida
- Technology for Gene Therapy Laboratory, Central Institute of Sciences, University of Brasília/FAV, Brasília, DF, Brazil
| | - Carlos Tomaz
- Laboratory of Neuroscience and Behavior and Graduate Program in Environment, CEUMA University - UniCEUMA, São Luís, MA, Brazil.
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8
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Zhang Y, Burock MA. Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review. Front Neurol 2020; 11:531993. [PMID: 33101169 PMCID: PMC7546271 DOI: 10.3389/fneur.2020.531993] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 08/18/2020] [Indexed: 12/21/2022] Open
Abstract
Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar microstructural indices of the brain white matter. Lower than normal fractional anisotropy as well as higher than normal diffusivity is associated with loss of microstructural integrity and neurodegeneration. Previous DTI studies in Parkinson's disease (PD) have demonstrated abnormal fractional anisotropy in multiple white matter regions, particularly in the dopaminergic nuclei and dopaminergic pathways. However, DTI is not considered a diagnostic marker for the earliest Parkinson's disease since anisotropic alterations present a temporally divergent pattern during the earliest Parkinson's course. This article reviews a majority of clinically employed DTI studies in PD, and it aims to prove the utilities of DTI as a marker of diagnosing PD, correlating clinical symptomatology, tracking disease progression, and treatment effects. To address the challenge of DTI being a diagnostic marker for early PD, this article also provides a comparison of the results from a longitudinal, early stage, multicenter clinical cohort of Parkinson's research with previous publications. This review provides evidences of DTI as a promising marker for monitoring PD progression and classifying atypical PD types, and it also interprets the possible pathophysiologic processes under the complex pattern of fractional anisotropic changes in the first few years of PD. Recent technical advantages, limitations, and further research strategies of clinical DTI in PD are additionally discussed.
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Affiliation(s)
- Yu Zhang
- Department of Psychiatry, War Related Illness and Injury Study Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Marc A Burock
- Department of Psychiatry, Mainline Health, Bryn Mawr Hospital, Bryn Mawr, PA, United States
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9
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Wiggins M, Arias F, Urman RD, Richman DC, Sweitzer BJ, Edwards AF, Armstrong MJ, Chopra A, Libon DJ, Price C. Common neurodegenerative disorders in the perioperative setting: Recommendations for screening from the Society for Perioperative Assessment and Quality Improvement (SPAQI). PERIOPERATIVE CARE AND OPERATING ROOM MANAGEMENT 2020; 20:100092. [PMID: 32577538 PMCID: PMC7311090 DOI: 10.1016/j.pcorm.2020.100092] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Aging is associated with normal and abnormal brain and cognitive changes. Due to the expected increase in older adults requiring surgery, perioperative clinicians will be increasingly encountering patients with neurodegenerative disease. To help perioperative clinicians understand signs of abnormal behaviors that may mark an undiagnosed neurodegenerative disorder and alert additional patient monitoring, The Society for Perioperative Assessment and Quality Improvement (SPAQI) worked with experts in dementia, neuropsychology, geriatric medicine, neurology, and anesthesiology to provide a summary of cognitive and behavioral considerations for patients with common neurodegenerative disorders being evaluated at preoperative centers. Patients with neurodegenerative disorders are at high risk for delirium due to known neurochemical disruptions, medication interactions, associated frailty, or vascular risk profiles presenting risk for repeat strokes. We provide basic information on the expected cognitive changes with aging, most common neurodegenerative disorders, a list of behavioral features and considerations to help differentiate neurodegenerative disorders. Finally, we propose screening recommendations intended for a multidisciplinary team in the perioperative setting.
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Affiliation(s)
- Margaret Wiggins
- Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL 32603
| | - Franchesca Arias
- Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL 32603
- Pain Research and Intervention Center of Excellence (PRICE), 101 S. Newell Drive, Gainesville, FL 32610
- Perioperative Cognitive Anesthesia Network (PeCAN), UF Health Shands Hospital, 1600 SW Archer Road Suite 1111, Gainesville, FL 32608
| | - Richard D Urman
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115
| | - Deborah C Richman
- Department of Anesthesiology, Renaissance School of Medicine at Stony Brook University, Health Sciences Center, Level 4, 101 Nicolls Road, Stony Brook, NY 11794-8480
| | - Bobbie Jean Sweitzer
- Northwestern University Feinberg School of Medicine, 251 East Huron, Chicago, IL 60611
| | - Angela F Edwards
- Department of Anesthesiology, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Melissa J Armstrong
- Norman Fixel Institute for Neurological Diseases, University of Florida, 3009 Williston Road, Gainesville, Florida 32608
- Neurology Department, University of Florida, 101 S Newell Drive, Gainesville, FL 32610
| | - Anita Chopra
- Department of Geriatrics and Gerontology, Department of Psychology, New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ 08084
| | - David J Libon
- Department of Geriatrics and Gerontology, Department of Psychology, New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ 08084
| | - Catherine Price
- Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL 32603
- Perioperative Cognitive Anesthesia Network (PeCAN), UF Health Shands Hospital, 1600 SW Archer Road Suite 1111, Gainesville, FL 32608
- Department of Anesthesiology, The University of Florida, Department of Anesthesiology, 1600 SW Archer Road PO Box 100254, Gainesville, FL 32610
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10
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Liu S, Zhao W, Li Y, Li X, Li J, Cao H, Yang Z, Xu Y. Improve cognition of depressive patients through the regulation of basal ganglia connectivity: Combined medication using Shuganjieyu capsule. J Psychiatr Res 2020; 123:39-47. [PMID: 32035307 DOI: 10.1016/j.jpsychires.2020.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 01/25/2023]
Abstract
Shuganjieyu capsule (Shugan) is a combined extract of Hypericum perforatum (HP) and Eleutherococcus senticosus (ES). Both HP and ES have been proven effective in the treatment of depression and impaired cognition. However, for mild to moderate depression (MMD), the treatment effect and underlying mechanism by combining both HP and ES are largely unknown. Here, we aim to evaluate the therapeutic effects on impaired cognition using Shugan, a combined medication of HP and ES. Resting-state magnetic resonance imaging (MRI) data and cognitive assessment have been collected from 54 healthy controls and 55 MMD patients that have been undergoing 8-week Shugan-treatment. The functional connectivity (FC) and brain region volume changes of the basal ganglia seeded circuit have been measured, and their relation with the cognitive assessment score was calculated. After that, a literature-based pathway analysis has been conducted to explore the biological relations among Shugan, brain regions, and depression. Compared to healthy controls, MMD patients demonstrated a significantly higher FC (P= 0.0025) between right ventral caudate (vCa) and left orbitofrontal cortex (OFC), which was decreased after the treatment (P < 0.001). A volume of the right caudate, which is increased in MMD, has also been reduced by Shugan treatment (P= 0.017). Importantly, the cognitive scores were strongly correlated with both Shugan treatment and the FC between vCa and OFC (r= 0.321, P= 0.02). Besides, we identified multiple signaling pathways, through which Shugan might improve the cognition of MMD patients. Our results support the therapeutic effects of Shugan on cognition in MMD, which may be realized partly through the regulation within two brain regions, vCa and OFC.
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Affiliation(s)
- Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Wentao Zhao
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yaojun Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Jing Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Hongbao Cao
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; School of Systems Biology, George Mason University (GMU), Fairfax, VA, USA
| | - Zhi Yang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University Medical School, Shanghai, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
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11
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Rutherford BR, Slifstein M, Chen C, Abi-Dargham A, Brown PJ, Wall MW, Vanegas-Arroyave N, Stern Y, Bailey V, Valente E, Roose SP. RETRACTED: Effects of L-DOPA Monotherapy on Psychomotor Speed and [ 11C]Raclopride Binding in High-Risk Older Adults With Depression. Biol Psychiatry 2019; 86:221-229. [PMID: 31178096 PMCID: PMC6641997 DOI: 10.1016/j.biopsych.2019.04.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 03/22/2019] [Accepted: 04/04/2019] [Indexed: 01/28/2023]
Abstract
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of Biological Psychiatry Editor John H. Krystal, M.D., with agreement from all authors except Chen Chen and Emily Valente. These two co-authors moved and, with no forwarding information that was available or could be found, they were therefore unable to be contacted. The authors have uncovered irregularities and deviations from the approved protocol related to the work reported in this article. Treatment with antidepressant medications within the past 28 days was an exclusion criterion: “Subjects were excluded for… current treatment or treatment within the past 4 weeks with psychotropic or other medications known to affect dopamine.” Individuals taking an ineffective antidepressant medication who otherwise met study criteria were to undergo a study-supervised medication taper to discontinue their medication for the required period prior to study participation. The published article does not describe that a subgroup of participants (15 out of the 47 consented subjects) enrolled in the study while taking an ineffective antidepressant medication. Of this subgroup, 10 individuals were successfully tapered off their medication and were among the 36 subjects contributing data to the analyses described. In addition, the authors have found that 8 participants did not complete the required 28-day washout prior to beginning the study. For these 8 participants, the medication-free period ranged from 1 to 21 days, with a mean of 10.1 days. Separately, an inclusion criterion was that eligible subjects “had Center for Epidemiologic Studies—Depression Rating scale score ≤ 10.” However, the authors have found that 3 ineligible participants were included, each of whom had depressive symptom scores 1 point out of range for eligibility. Lastly, the CONSORT diagram in Figure S1 states that 11 participants were lost to follow-up. However, this is incorrect. Instead, 9 participants were lost to follow up and 2 participants were screen failures. The authors voluntarily informed the Journal of these honest errors upon discovery. Because of the extent of these issues, the editors and authors concluded that the only course of action was to retract this paper. However, the authors are revising the paper, which the Journal will consider further for publication.
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Affiliation(s)
- Bret R Rutherford
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York.
| | - Mark Slifstein
- Stony Brook University Renaissance College of Medicine, Stony Brook, New York
| | - Chen Chen
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York
| | - Anissa Abi-Dargham
- Stony Brook University Renaissance College of Medicine, Stony Brook, New York
| | - Patrick J Brown
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York
| | - Melanie W Wall
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York
| | | | - Yaakov Stern
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | | | - Emily Valente
- New York State Psychiatric Institute, New York, New York
| | - Steven P Roose
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York
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12
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Cai X, Qiao J, Knox T, Iriah S, Kulkarni P, Madularu D, Morrison T, Waszczak B, Hartner JC, Ferris CF. In search of early neuroradiological biomarkers for Parkinson’s Disease: Alterations in resting state functional connectivity and gray matter microarchitecture in PINK1 −/− rats. Brain Res 2019; 1706:58-67. [DOI: 10.1016/j.brainres.2018.10.033] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 10/29/2018] [Accepted: 10/30/2018] [Indexed: 12/12/2022]
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13
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Kluger BM, Zhao Q, Tanner JJ, Schwab NA, Levy SA, Burke SE, Huang H, Ding M, Price C. Structural brain correlates of fatigue in older adults with and without Parkinson's disease. NEUROIMAGE-CLINICAL 2019; 22:101730. [PMID: 30818269 PMCID: PMC6396012 DOI: 10.1016/j.nicl.2019.101730] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 01/24/2019] [Accepted: 02/20/2019] [Indexed: 12/16/2022]
Abstract
Fatigue is one of the most common and disabling nonmotor symptoms seen in Parkinson's disease (PD) and is also commonly seen in healthy older adults. Our understanding of the etiology of fatigue in older adults with or without PD is limited and it remains unclear whether fatigue in PD is specifically related to PD pathology. The objective of this study was thus to determine whether fatigue in PD was associated with structural changes in gray or white matter and explore whether these changes were similar in older adults without PD. Magnetic resonance imaging (T1 weighted) and diffusion tensor imaging were performed in 60 patients with PD (17 females; age = 67.58 ± 5.51; disease duration = 5.67 ± 5.83 years) and 41 age- and sex- matched healthy controls. FSL image processing was used to measure gray matter volume, fractional anisotropy, and leukoariosis differences. Voxel-based morphometry confirmed gray matter loss across the dorsal striatum and insula in the PD patient cohort. PD patients with fatigue had reduced gray matter volume in dorsal striatum relative to PD patients without fatigue (P < 0.05 False Discovery Rate corrected). No significant fatigue-related structural atrophy was found in controls. There were no areas of significant fractional anisotropy differences between high and low fatigue subjects in either the PD or non-PD groups. Control participants with high fatigue, but not PD, showed significantly greater total leukoariosis volumes (p = 0.03). Fatigue in PD is associated with unique structural changes in the caudate and putamen suggesting fatigue in PD is primarily related to PD pathology, particularly in the dorsal striatum, and not simply a consequence of aging. Fatigue is a disabling symptom in Parkinson's disease (PD) and healthy older adults. We studied structural correlates of fatigue using MRI morphometry. PD patients with high fatigue had caudate atrophy. Healthy older adults with fatigue had increased burden of leukoariosis. Patterns of structural brain changes were distinct between PD and healthy group.
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Affiliation(s)
- Benzi M Kluger
- Neurology, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Qing Zhao
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Jared J Tanner
- Clinical and Health Psychology, Center for Movement Disorders and Neurorestoration, Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Nadine A Schwab
- Clinical and Health Psychology, Center for Movement Disorders and Neurorestoration, Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Shellie-Anne Levy
- Clinical and Health Psychology, Center for Movement Disorders and Neurorestoration, Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Sarah E Burke
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Haiqing Huang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Mingzhou Ding
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Catherine Price
- Clinical and Health Psychology, Center for Movement Disorders and Neurorestoration, Anesthesiology, University of Florida, Gainesville, FL, USA.
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14
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Sundaram S, Müller-Oehring EM, Fama R, Brontë-Stewart HM, Poston KL, Goodcase R, Martin T, Prabhakar V, Karpf J, Schulte T. Information processing deficit in older adults with HIV infection: A comparison with Parkinson's disease. Neuropsychology 2019; 33:157-168. [PMID: 30475047 PMCID: PMC7372910 DOI: 10.1037/neu0000500] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE Individuals with HIV treated with antiretroviral therapy can expect to reach average life span, making them susceptible to combined disease and aging effects on cognitive and motor functions. Slowed processing speed in HIV is a concern for cognitive and everyday functioning and is sensitive to declines in aging. We hypothesized that information processing (IP) deficits, over and above that expected with normal aging, would occur in older HIV patients similar to those observed in Parkinson's disease (PD) patients, with both conditions affecting frontostriatal pathways. METHOD Groups comprised 26 individuals with HIV infection, 29 with mild-to-moderate PD, and 21 healthy controls (C). Speed of IP was assessed with the oral version of the Symbol Digit Modalities Test and the color naming condition of the Golden Stroop Task. RESULTS The HIV group was impaired on speed of IP tasks compared with both the C and PD groups. Even after controlling for normal aging effects, older age in the HIV group correlated with IP slowing. Slower IP speed was associated with poorer general cognitive ability and more extrapyramidal motor signs in older HIV-infected individuals. CONCLUSIONS The notable effects of impaired IP speed, over and above neurotypical age-related declines, indicate that older HIV-infected individuals may have an enhanced vulnerability for developing nonmotor and motor symptoms despite antiretroviral therapy. Assessing for oral IP speed may provide the unique opportunity to identify early signs of progressive clinical declines in HIV. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Saranya Sundaram
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
- Clinical Psychology, Palo Alto University, Palo Alto, CA
| | - Eva M. Müller-Oehring
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
- Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Rosemary Fama
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
- Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Helen M. Brontë-Stewart
- Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - Kathleen L. Poston
- Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ryan Goodcase
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
| | - Talora Martin
- Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Varsha Prabhakar
- Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Joshua Karpf
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
| | - Tilman Schulte
- Neuroscience Program, Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA
- Clinical Psychology, Palo Alto University, Palo Alto, CA
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15
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Reduced caudate volume and cognitive slowing in men at risk of fragile X-associated tremor ataxia syndrome. Brain Imaging Behav 2018; 13:1128-1134. [PMID: 30046972 DOI: 10.1007/s11682-018-9928-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Fragile X-associated tremor ataxia syndrome is an inherited neurodegenerative disorder caused by premutation expansions (55-200 CGG repeats) of the FMR1 gene. There is accumulating evidence to suggest that early cognitive and brain imaging signs may be observed in some premutation carriers without motor signs of FXTAS, but few studies have examined the relationships between subcortical brain volumes and cognitive performance in this group. This study examined the relationships between caudate volume and select cognitive measures (executive function and information processing speed) in men at risk of developing FXTAS and controls with normal FMR1 alleles (<45 CGG repeats). The results showed that men with premutation alleles performed worse on measures of executive function and information processing speed, and had significantly reduced caudate volume, compared to controls. Smaller caudate volume in the premutation group was associated with slower processing speed. These findings provide preliminary evidence that early reductions in caudate volume may be associated with cognitive slowing in men with the premutation who do not present with cardinal motor signs of FXTAS. If confirmed in future studies with larger PM cohorts, these findings will have important implications for the identification of sensitive measures with potential utility for tracking cognitive decline.
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16
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Haghshomar M, Dolatshahi M, Ghazi Sherbaf F, Sanjari Moghaddam H, Shirin Shandiz M, Aarabi MH. Disruption of Inferior Longitudinal Fasciculus Microstructure in Parkinson's Disease: A Systematic Review of Diffusion Tensor Imaging Studies. Front Neurol 2018; 9:598. [PMID: 30093877 PMCID: PMC6070770 DOI: 10.3389/fneur.2018.00598] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 07/05/2018] [Indexed: 12/19/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder accompanied by a series of pathological mechanisms which contribute to a variety of motor and non-motor symptoms. Recently, there has been an increasing interest in structural diffusion tensor imaging (DTI) in PD which has shed light on our understanding of structural abnormalities underlying PD symptoms or its associations with pathological mechanisms. One of the white matter tracts shown to be disrupted in PD with a possible contribution to some PD symptoms is the inferior longitudinal fasciculus (ILF). On the whole, lower ILF integrity contributes to thought disorders, impaired visual emotions, cognitive impairments such as semantic fluency deficits, and mood disorders. This review outlines the microstructural changes in ILF associated with systemic inflammation and various PD symptoms like cognitive decline, facial emotion recognition deficit, depression, color discrimination deficit, olfactory dysfunction, and tremor genesis. However, few studies have investigated DTI correlates of each symptom and larger studies with standardized imaging protocols are required to extend these preliminary findings and lead to more promising results.
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Affiliation(s)
- Maryam Haghshomar
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Dolatshahi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Mehdi Shirin Shandiz
- Department of Medical Physics, Zahedan University of Medical Sciences, Zahedan, Iran
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17
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Colon-Perez LM, Tanner JJ, Couret M, Goicochea S, Mareci TH, Price CC. Cognition and connectomes in nondementia idiopathic Parkinson's disease. Netw Neurosci 2018; 2:106-124. [PMID: 29911667 PMCID: PMC5989988 DOI: 10.1162/netn_a_00027] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Accepted: 09/18/2017] [Indexed: 01/01/2023] Open
Abstract
In this study, we investigate the organization of the structural connectome in cognitively well participants with Parkinson’s disease (PD-Well; n = 31) and a subgroup of participants with Parkinson’s disease who have amnestic disturbances (PD-MI; n = 9). We explore correlations between connectome topology and vulnerable cognitive domains in Parkinson’s disease relative to non-Parkinson’s disease peers (control, n = 40). Diffusion-weighted MRI data and deterministic tractography were used to generate connectomes. Connectome topological indices under study included weighted indices of node strength, path length, clustering coefficient, and small-worldness. Relative to controls, node strength was reduced 4.99% for PD-Well (p = 0.041) and 13.2% for PD-MI (p = 0.004). We found bilateral differences in the node strength between PD-MI and controls for inferior parietal, caudal middle frontal, posterior cingulate, precentral, and rostral middle frontal. Correlations between connectome and cognitive domains of interest showed that topological indices of global connectivity negatively associated with working memory and displayed more and larger negative correlations with neuropsychological indices of memory in PD-MI than in PD-Well and controls. These findings suggest that indices of network connectivity are reduced in PD-MI relative to PD-Well and control participants. Parkinson’s disease (PD) patients with amnestic mild cognitive impairment (e.g., primary processing-speed impairments or primary memory impairments) are at greater risk of developing dementia. Recent evidence suggests that patients with PD and mild cognitive impairment present an altered connectome connectivity. In this work, we further explore the structural connectome of PD patients to provide clues to identify possible sensitive markers of disease progression, and cognitive impairment, in susceptible PD patients. We employed a weighted network framework that yields more stable topological results than the binary network framework and is robust despite graph density differences, hence it does not require thresholding to analyze the connectomes. As Supplementary Information (Colon-Perez et al., 2017), we include databases sharing the results of the network data.
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Affiliation(s)
| | - Jared J Tanner
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Michelle Couret
- Department of Medicine, Columbia University, New York, NY, USA
| | - Shelby Goicochea
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Thomas H Mareci
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
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18
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Trempler I, Binder E, El-Sourani N, Schiffler P, Tenberge JG, Schiffer AM, Fink GR, Schubotz RI. Association of grey matter changes with stability and flexibility of prediction in akinetic-rigid Parkinson's disease. Brain Struct Funct 2018; 223:2097-2111. [PMID: 29374792 DOI: 10.1007/s00429-018-1616-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
Abstract
Parkinson's disease (PD), which is caused by degeneration of dopaminergic neurons in the midbrain, results in a heterogeneous clinical picture including cognitive decline. Since the phasic signal of dopamine neurons is proposed to guide learning by signifying mismatches between subjects' expectations and external events, we here investigated whether akinetic-rigid PD patients without mild cognitive impairment exhibit difficulties in dealing with either relevant (requiring flexibility) or irrelevant (requiring stability) prediction errors. Following our previous study on flexibility and stability in prediction (Trempler et al. J Cogn Neurosci 29(2):298-309, 2017), we then assessed whether deficits would correspond with specific structural alterations in dopaminergic regions as well as in inferior frontal cortex, medial prefrontal cortex, and the hippocampus. Twenty-one healthy controls and twenty-one akinetic-rigid PD patients on and off medication performed a task which required to serially predict upcoming items. Switches between predictable sequences had to be indicated via button press, whereas sequence omissions had to be ignored. Independent of the disease, midbrain volume was related to a general response bias to unexpected events, whereas right putamen volume correlated with the ability to discriminate between relevant and irrelevant prediction errors. However, patients compared with healthy participants showed deficits in stabilisation against irrelevant prediction errors, associated with thickness of right inferior frontal gyrus and left medial prefrontal cortex. Flexible updating due to relevant prediction errors was also affected in patients compared with controls and associated with right hippocampus volume. Dopaminergic medication influenced behavioural performance across, but not within the patients. Our exploratory study warrants further research on deficient prediction error processing and its structural correlates as a core of cognitive symptoms occurring already in early stages of the disease.
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Affiliation(s)
- Ima Trempler
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany. .,Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany. .,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany.
| | - Ellen Binder
- Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Nadiya El-Sourani
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Patrick Schiffler
- Department of Neurology, University Hospital Münster, 48149, Münster, Germany
| | - Jan-Gerd Tenberge
- Department of Neurology, University Hospital Münster, 48149, Münster, Germany
| | - Anne-Marike Schiffer
- Department of Life Sciences, Division of Psychology, Brunel University, UB8 3PH, Uxbridge, UK
| | - Gereon R Fink
- Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Ricarda I Schubotz
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany.,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
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19
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Péran P, Nemmi F, Barbagallo G. Brain Morphometry: Parkinson’s Disease. NEUROMETHODS 2018:267-277. [DOI: 10.1007/978-1-4939-7647-8_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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20
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Atkinson-Clement C, Pinto S, Eusebio A, Coulon O. Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis. Neuroimage Clin 2017; 16:98-110. [PMID: 28765809 PMCID: PMC5527156 DOI: 10.1016/j.nicl.2017.07.011] [Citation(s) in RCA: 152] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 07/13/2017] [Accepted: 07/14/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Neuroimaging studies help us better understand the pathophysiology and symptoms of Parkinson's disease (PD). In several of these studies, diffusion tensor imaging (DTI) was used to investigate structural changes in cerebral tissue. Although data have been provided as regards to specific brain areas, a whole brain meta-analysis is still missing. METHODS We compiled 39 studies in this meta-analysis: 14 used fractional anisotropy (FA), 1 used mean diffusivity (MD), and 24 used both indicators. These studies comprised 1855 individuals, 1087 with PD and 768 healthy controls. Regions of interest were classified anatomically (subcortical structures; white matter; cortical areas; cerebellum). Our statistical analysis considered the disease effect size (DES) as the main variable; the heterogeneity index (I2) and Pearson's correlations between the DES and co-variables (demographic, clinical and MRI parameters) were also calculated. RESULTS Our results showed that FA-DES and MD-DES were able to distinguish between patients and healthy controls. Significant differences, indicating degenerations, were observed within the substantia nigra, the corpus callosum, and the cingulate and temporal cortices. Moreover, some findings (particularly in the corticospinal tract) suggested opposite brain changes associated with PD. In addition, our results demonstrated that MD-DES was particularly sensitive to clinical and MRI parameters, such as the number of DTI directions and the echo time within white matter. CONCLUSIONS Despite some limitations, DTI appears as a sensitive method to study PD pathophysiology and severity. The association of DTI with other MRI methods should also be considered and could benefit the study of brain degenerations in PD.
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Affiliation(s)
| | - Serge Pinto
- Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France
- Brain and Language Research Institute, Aix Marseille Univ, Aix-en-Provence, France
| | - Alexandre Eusebio
- Aix Marseille Univ, APHM, Hôpital de la Timone, Service de Neurologie et Pathologie du Mouvement, Marseille, France
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille France
| | - Olivier Coulon
- Brain and Language Research Institute, Aix Marseille Univ, Aix-en-Provence, France
- Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille France
- Aix Marseille Univ, CNRS, LSIS lab, UMR 7296, Marseille, France
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21
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Tanner JJ, McFarland NR, Price CC. Striatal and Hippocampal Atrophy in Idiopathic Parkinson's Disease Patients without Dementia: A Morphometric Analysis. Front Neurol 2017; 8:139. [PMID: 28450849 PMCID: PMC5389981 DOI: 10.3389/fneur.2017.00139] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 03/27/2017] [Indexed: 12/16/2022] Open
Abstract
Background Analyses of subcortical gray structure volumes in non-demented idiopathic Parkinson’s disease (PD) often, but not always, show volume loss of the putamen, caudate nucleus, nucleus accumbens, and hippocampus. There is building evidence that structure morphometry might be more sensitive to disease-related processes than volume. Objective To assess morphometric differences of subcortical structures (putamen, caudate nucleus, thalamus, globus pallidus, nucleus accumbens, and amygdala) as well as the hippocampus in non-demented individuals with PD relative to age and education matched non-PD peers. Methods Prospective recruitment of idiopathic no-dementia PD and non-PD peers as part of a federally funded investigation. T1-weighted isovoxel metrics acquired via 3-T Siemens Verio for all individuals [PD n = 72 (left side onset n = 27, right side onset n = 45); non-PD n = 48]. FIRST (FMRIB Software Library) applications provided volumetric and vertex analyses on group differences for structure size and morphometry. Results Group volume differences were observed only for putamen and hippocampi (PD < non-PD) with hippocampal volume significantly associating with disease duration. Group shape differences were observed for bilateral putamen, caudate nucleus, and hippocampus with greater striatal atrophy contralateral to side of motor symptom onset. Hippocampal shape differences disappeared when removing the effects of volume. Conclusion The putamen was the primary structure to show both volume and shape differences in PD, indicating that the putamen is the predominant site of basal ganglia atrophy in early- to mid-stage PD. Side of PD symptom onset associates with contralateral striatal atrophy. Left-onset PD might experience more extensive striatal atrophy than right-onset PD. Hippocampus morphometric results suggest possible primary atrophy of CA3/4 and dentate gyrus.
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Affiliation(s)
- Jared J Tanner
- Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Nikolaus R McFarland
- Neurology, University of Florida, Gainesville, FL, USA.,Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, USA
| | - Catherine C Price
- Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
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22
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Huang H, Nguyen PT, Schwab NA, Tanner JJ, Price CC, Ding M. Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation. Front Aging Neurosci 2017; 9:91. [PMID: 28420985 PMCID: PMC5378713 DOI: 10.3389/fnagi.2017.00091] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 03/20/2017] [Indexed: 11/28/2022] Open
Abstract
The caudate nucleus plays important roles in cognition and affect. Depending on associated connectivity and function, the caudate can be further divided into dorsal and ventral aspects. Dorsal caudate, highly connected to dorsolateral prefrontal cortex (DLPFC), is implicated in executive function and working memory; ventral caudate, more interconnected with the limbic system, is implicated in affective functions such as pain processing. Clinically, certain brain disorders are known to differentially impact dorsal and ventral caudate. Thus, precise parcellation of caudate has both basic and clinical neuroscience significance. In young adults, past work has combined resting-state fMRI functional connectivity with clustering algorithms to define dorsal and ventral caudate. Whether the same approach is effective in older adults and how to validate the parcellation results have not been considered. We addressed these problems by obtaining resting-state fMRI data from 56 older non-demented adults (age: 69.07 ± 5.92 years and MOCA: 25.71 ± 2.46) along with a battery of cognitive and clinical assessments. Connectivity from each voxel of caudate to the rest of the brain was computed using cross correlation. Applying the K-means clustering algorithm to the connectivity patterns with K = 2 yielded two substructures within caudate, which agree well with previously reported dorsal and ventral divisions of caudate. Furthermore, dorsal-caudate-seeded functional connectivity was shown to be more strongly associated with working memory and fluid reasoning composite scores, whereas ventral-caudate-seeded functional connectivity more strongly associated with pain and fatigue severity. These results demonstrate that dorsal and ventral caudate can be reliably identified by combining resting-state fMRI and clustering algorithms in older adults.
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Affiliation(s)
- Haiqing Huang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of FloridaGainesville, FL, USA
| | - Peter T Nguyen
- Department of Clinical and Health Psychology, University of FloridaGainesville, FL, USA
| | - Nadine A Schwab
- Department of Clinical and Health Psychology, University of FloridaGainesville, FL, USA
| | - Jared J Tanner
- Department of Clinical and Health Psychology, University of FloridaGainesville, FL, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of FloridaGainesville, FL, USA
| | - Mingzhou Ding
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of FloridaGainesville, FL, USA
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23
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Tanner JJ, Levy SA, Schwab NA, Hizel LP, Nguyen PT, Okun MS, Price CC. Marked brain asymmetry with intact cognitive functioning in idiopathic Parkinson's disease: a longitudinal analysis. Clin Neuropsychol 2017; 31:654-675. [PMID: 27813459 PMCID: PMC5334434 DOI: 10.1080/13854046.2016.1251973] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 10/18/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVE A 71-year-old (MN) with an 11-year history of left onset tremor diagnosed as Parkinson's disease (PD) completed longitudinal brain magnetic resonance imaging (MRI) and neuropsychological testing. MRI scans showed an asymmetric caudate nucleus (right < left volume). We describe this asymmetry at baseline and the progression over time relative to other subcortical gray, frontal white matter, and cortical gray matter regions of interest. Isolated structural changes are compared to MN's cognitive profiles. METHOD MN completed yearly MRIs and neuropsychological assessments. For comparison, left onset PD (n = 15) and non-PD (n = 43) peers completed the same baseline protocol. All MRI scans were processed with FreeSurfer and the FMRIB Software Library to analyze gray matter structures and frontal fractional anisotropy (FA) metrics. Processing speed, working memory, language, verbal memory, abstract reasoning, visuospatial, and motor functions were examined using reliable change methods. RESULTS At baseline, MN had striatal volume and frontal lobe thickness asymmetry relative to peers with mild prefrontal white matter FA asymmetry. Over time only MN's right caudate nucleus showed accelerated atrophy. Cognitively, MN had slowed psychomotor speed and visuospatial-linked deficits with mild visuospatial working memory declines longitudinally. CONCLUSIONS This is a unique report using normative neuroimaging and neuropsychology to describe an individual diagnosed with PD who had striking striatal asymmetry followed secondarily by cortical thickness asymmetry and possible frontal white matter asymmetry. His decline and variability in visual working memory could be linked to ongoing atrophy of his right caudate nucleus.
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Affiliation(s)
- Jared J Tanner
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Shellie-Anne Levy
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Nadine A Schwab
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Loren P Hizel
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Peter T Nguyen
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Michael S Okun
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
| | - Catherine C Price
- a Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
- b Center for Movement Disorders and Neurorestoration , University of Florida , Gainesville , FL , USA
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24
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Savic I, Frisen L, Manzouri A, Nordenstrom A, Lindén Hirschberg A. Role of testosterone and Y chromosome genes for the masculinization of the human brain. Hum Brain Mapp 2017; 38:1801-1814. [PMID: 28070912 DOI: 10.1002/hbm.23483] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Revised: 10/18/2016] [Accepted: 11/21/2016] [Indexed: 01/18/2023] Open
Abstract
Women with complete androgen insensitivity syndrome (CAIS) have a male (46,XY) karyotype but no functional androgen receptors. Their condition, therefore, offers a unique model for studying testosterone effects on cerebral sex dimorphism. We present MRI data from 16 women with CAIS and 32 male (46,XY) and 32 female (46,XX) controls. METHODS FreeSurfer software was employed to measure cortical thickness and subcortical structural volumes. Axonal connections, indexed by fractional anisotropy, (FA) were measured with diffusion tensor imaging, and functional connectivity with resting state fMRI. RESULTS Compared to men, CAIS women displayed a "female" pattern by having thicker parietal and occipital cortices, lower FA values in the right corticospinal, superior and inferior longitudinal tracts, and corpus callosum. Their functional connectivity from the amygdala to the medial prefrontal cortex, was stronger and amygdala-connections to the motor cortex weaker than in control men. CAIS and control women also showed stronger posterior cingulate and precuneus connections in the default mode network. Thickness of the motor cortex, the caudate volume, and the FA in the callosal body followed, however, a "male" pattern. CONCLUSION Altogether, these data suggest that testosterone modulates the microstructure of somatosensory and visual cortices and their axonal connections to the frontal cortex. Testosterone also influenced functional connections from the amygdala, whereas the motor cortex could, in agreement with our previous reports, be moderated by processes linked to X-chromosome gene dosage. These data raise the question about other genetic factors masculinizing the human brain than the SRY gene and testosterone. Hum Brain Mapp 38:1801-1814, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Ivanka Savic
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, SE-113 30, Sweden.,Department of Neurology, Stockholm, SE-113 30, Sweden
| | - Louise Frisen
- Dept of Clinical Neuroscience, Stockholm, SE-113 30, Sweden.,Child and Adolescent Psychiatry Research Center, Stockholm, SE-113 30, Sweden
| | - Amirhossein Manzouri
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, SE-113 30, Sweden
| | - Anna Nordenstrom
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, SE-113 30, Sweden
| | - Angelica Lindén Hirschberg
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, SE-113 30, Sweden.,Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden
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25
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Pal G, O'Keefe J, Robertson-Dick E, Bernard B, Anderson S, Hall D. Global cognitive function and processing speed are associated with gait and balance dysfunction in Parkinson's disease. J Neuroeng Rehabil 2016; 13:94. [PMID: 27793167 PMCID: PMC5084375 DOI: 10.1186/s12984-016-0205-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 10/25/2016] [Indexed: 12/25/2022] Open
Abstract
Background Our primary objective was to determine the relationship between global cognitive function and specific domains of gait and balance in a cohort of Parkinson’s disease (PD) subjects. In a secondary analysis, we determined whether specific cognitive domains correlated with gait and balance performance. Methods Fourteen PD subjects (mean age 61.1 ± 7.8 years) were recruited from the Rush University Medical Center Movement Disorders clinic. Subjects underwent clinical assessment using the motor subsection of the Unified Parkinson’s Disease Rating Scale (UPDRS) followed by quantitative gait and balance assessments using the APDM Mobility Lab™ system (Mobility Lab, APDM Inc., Portland, OR). Subjects completed global cognitive testing using the Mattis Dementia Rating Scale (MDRS) as well as domain specific cognitive measures. Spearman’s rho was used to assess correlations between cognitive measures and gait and balance function, with False Discovery Rate (FDR) correction for multiple comparisons. Results Global cognitive function had the strongest correlation with stride velocity (r = 0.816, p = 0.001), turn duration (r = −0.806, p = 0.001), number of steps to turn (r = −0.830, p = 0.001), and mean velocity of postural sway in the medio-lateral direction (r = −0.726, p = 0.005). A significant correlation was found between processing speed and two turning measures (turn duration, r = −0.884, p = 0.001; number of steps to turn, r = −0.954, p < 0.001), but no other associations were found between specific cognitive domains and gait domains. Conclusions This pilot study provides preliminary data regarding the association between global cognitive function and pace-related measures of gait, turning, and postural sway. Furthermore, reduced processing speed was found to be associated with difficulty in performing turns.
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Affiliation(s)
- Gian Pal
- Department of Neurological Sciences, Rush University, Chicago, IL, USA. .,Rush University Medical Center, 1725 West Harrison Street, Suite 755, Chicago, IL, 60612, USA.
| | - Joan O'Keefe
- Department of Neurological Sciences, Rush University, Chicago, IL, USA.,Department of Anatomy and Cell Biology, Rush University, Chicago, IL, USA
| | | | - Bryan Bernard
- Department of Neurological Sciences, Rush University, Chicago, IL, USA
| | - Sharlet Anderson
- Department of Neurological Sciences, Rush University, Chicago, IL, USA
| | - Deborah Hall
- Department of Neurological Sciences, Rush University, Chicago, IL, USA
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26
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Yadav SK, Kathiresan N, Mohan S, Vasileiou G, Singh A, Kaura D, Melhem ER, Gupta RK, Wang E, Marincola FM, Borthakur A, Haris M. Gender-based analysis of cortical thickness and structural connectivity in Parkinson's disease. J Neurol 2016; 263:2308-2318. [PMID: 27544505 DOI: 10.1007/s00415-016-8265-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 08/08/2016] [Accepted: 08/09/2016] [Indexed: 01/08/2023]
Abstract
Parkinson's disease (PD) is a progressive neurological disorder and appears to have gender-specific symptoms. Studies have observed a higher frequency for development of PD in male than in female. In the current study, we evaluated the gender-based changes in cortical thickness and structural connectivity in PD patients. With informed consent, 64 PD (43 males and 21 females) patients, and 46 (12 males and 34 females) age-matched controls underwent clinical assessment including Mini-Mental State Examination (MMSE) and magnetic resonance imaging on a 1.5 Tesla clinical MR scanner. Whole brain high-resolution T1-weighted images were acquired from all subjects and used to measure cortical thickness and structural network connectivity. No significant difference in MMSE score was observed between male and female both in control and PD subjects. Male PD patients showed significantly reduced cortical thickness in multiple brain regions including frontal, parietal, temporal, and occipital lobes as compared with those in female PD patients. The graph theory-based network analysis depicted lower connection strengths, lower clustering coefficients, and altered network hubs in PD male than in PD female. Male-specific cortical thickness changes and altered connectivity in PD patients may derive from behavioral, physiological, environmental, and genetical differences between male and female, and may have significant implications in diagnosing and treating PD among genders.
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Affiliation(s)
- Santosh K Yadav
- Translational Medicine Research Branch, Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar
| | - Nagarajan Kathiresan
- Translational Medicine Research Branch, Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar
| | - Suyash Mohan
- Department of Radiology, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA
| | - Georgia Vasileiou
- Department of Medical Physics, University College of London, London, UK
| | - Anup Singh
- Center for Biomedical Engineering, Indian Institute of Technology, New Delhi, India
| | - Deepak Kaura
- Department of Radiology, Sidra Medical and Research Center, Doha, Qatar
| | - Elias R Melhem
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rakesh K Gupta
- Department of Radiology and Imaging, Fortis Memorial Research Institute, Gurgaon, India
| | - Ena Wang
- Translational Medicine Research Branch, Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar
| | - Francesco M Marincola
- Translational Medicine Research Branch, Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar
| | - Arijitt Borthakur
- Department of Radiology, Center for Magnetic Resonance and Optical Imaging, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA
| | - Mohammad Haris
- Translational Medicine Research Branch, Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar.
- Department of Radiology, Center for Magnetic Resonance and Optical Imaging, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA.
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Sisco SM, Slonena E, Okun MS, Bowers D, Price CC. Parkinson's disease and the Stroop color word test: processing speed and interference algorithms. Clin Neuropsychol 2016; 30:1104-17. [PMID: 27264121 DOI: 10.1080/13854046.2016.1188989] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Processing speed alters the traditional Stroop calculations of interference. Consequently, alternative algorithms for calculating Stroop interference have been introduced to control for processing speed, and have done so in a multiple sclerosis sample. This study examined how these processing speed correction algorithms change interference scores for individuals with idiopathic Parkinson's disease (PD, n = 58) and non-PD peers (n = 68). METHOD Linear regressions controlling for demographics predicted group (PD vs. non-PD) differences for Jensen's, Golden's, relative, ratio, and residualized interference scores. To examine convergent and divergent validity, interference scores were correlated with standardized measures of processing speed and executive function. RESULTS PD-non-PD differences were found for Jensen's interference score, but not Golden's score, or the relative, ratio, and residualized interference scores. Jensen's score correlated significantly with standardized processing speed but not executive function measures. Relative, ratio, and residualized scores correlated with executive function but not processing speed measures. Golden's score did not correlate with any other standardized measures. CONCLUSIONS The relative, ratio, and residualized scores were comparable for measuring Stroop interference in processing speed-impaired populations. Overall, the ratio interference score may be the most useful calculation method to control for processing speed in this population.
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Affiliation(s)
- Shannon M Sisco
- a Department of Psychology , Veterans Affairs Illiana Health Care System , Danville , IL , USA
| | - Elizabeth Slonena
- b Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
| | - Michael S Okun
- c Center for Movement Disorders and Neurorestoration, Department of Neurology , University of Florida , Gainesville , FL , USA
| | - Dawn Bowers
- b Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA.,c Center for Movement Disorders and Neurorestoration, Department of Neurology , University of Florida , Gainesville , FL , USA
| | - Catherine C Price
- b Department of Clinical and Health Psychology , University of Florida , Gainesville , FL , USA
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