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Gupta A, Mahnken JD, Bernal J, Sharma P, Lepping RJ, Montgomery RN, Johnson DK, Parks A, Burns JM, Drew DA, Sarnak MJ, Brooks WM. Changes in Cognitive Function After Kidney Transplantation: A Longitudinal Cohort Study. Am J Kidney Dis 2024; 84:28-37.e1. [PMID: 38423160 PMCID: PMC11443557 DOI: 10.1053/j.ajkd.2023.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/11/2023] [Accepted: 12/23/2023] [Indexed: 03/02/2024]
Abstract
RATIONALE & OBJECTIVE Kidney disease negatively affects cognition. We assessed the effect of kidney transplantation (KT) on different cognitive domains. STUDY DESIGN Prospective cohort study. SETTING & PARTICIPANTS We examined pre- versus post-KT cognition in patients waitlisted for KT at an academic center. PREDICTORS Transplant status. We measured cognitive function before KT (n=101), 3 months after KT (n=78), and 1 year after KT (n = 83). OUTCOMES Our primary outcome was change in cognitive function before versus after KT. We used standard neuropsychological tests to assess global cognition (Mini-Mental State Exam [MMSE]), episodic/declarative memory (Logical Memory), psychomotor speed/visuospatial function (Digit Symbol Substitution Test [DSST], Trail Making Test [TMT] A), working memory/attention (Digit Span), executive function (TMT B), and semantic memory/verbal fluency/language (Category Fluency). ANALYTICAL APPROACH Using linear mixed model analysis, we evaluated the changes in neuropsychological test scores adjusted for age, sex, race, education, and number of assessments. RESULTS Before KT, Logical Memory I and II, DSST, MMSE, Category Fluency (animal naming), and Digit Span backward scores were low compared with normative values from the National Alzheimer's Coordinating Center data. Logical Memory I and II scores improved after KT (pre- vs post-KT, estimated group difference [d]=3.3, P<0.001 for Logical Memory I; d=4.27, P<0.001 for Logical Memory II), such that post-KT scores were similar to normative values (post-KT vs normative values, d = -0.37, P=0.06 for Logical Memory I; d = -0.89, P=0.08 for Logical Memory II). Category Fluency (animal naming; d=2.4, P<0.001) and DSST (d=3.12, P=0.01) scores also improved with KT, but post-KT DSST scores remained lower than normative values (post-KT vs normative values, d = -5.17, P<0.001). MMSE, Digit Span, and TMT A and B scores did not change after KT. LIMITATIONS Single-center study. CONCLUSIONS Episodic and verbal declarative memory normalize after KT. Semantic memory, verbal fluency, language, psychomotor speed, and visuospatial function show partial improvement. Cognitive impairment in kidney disease is therefore at least partly reversible with KT. PLAIN-LANGUAGE SUMMARY Cognitive impairment in kidney disease affects self-esteem, vocational abilities, quality of life, health care costs, and mortality. It is not clear whether kidney transplantation (KT) improves cognition and whether the improvement is uniform across cognitive domains. The distinction between reversible and irreversible cognitive impairment has important implications in the clinical care of patients before and after KT. We assessed cognition before KT and 3 months and 12 months after KT and discovered that episodic and verbal declarative memory normalized with KT. Semantic memory, verbal fluency, language, psychomotor speed, and visuospatial function also improved with KT but did not reach normal levels. Cognitive impairment in kidney disease is therefore at least partly reversible.
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Affiliation(s)
- Aditi Gupta
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas; Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas; University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas; Frontiers Clinical and Translational Science Institute, University of Kansas Medical Center, Kansas City, Kansas.
| | - Jonathan D Mahnken
- University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas; Frontiers Clinical and Translational Science Institute, University of Kansas Medical Center, Kansas City, Kansas; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - Joshua Bernal
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - Palash Sharma
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - Rebecca J Lepping
- Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas; University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas; Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas
| | - Robert N Montgomery
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - David K Johnson
- Department of Neurology, University of California, Davis, Davis, California
| | - Adam Parks
- Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas
| | - Jeffrey M Burns
- Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas; University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas
| | - David A Drew
- Division of Nephrology and Hypertension, Department of Internal Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Mark J Sarnak
- Division of Nephrology and Hypertension, Department of Internal Medicine, Tufts Medical Center, Boston, Massachusetts
| | - William M Brooks
- Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas; University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas; Frontiers Clinical and Translational Science Institute, University of Kansas Medical Center, Kansas City, Kansas; Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas
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Huang KL, Chang TY, Wu YM, Chang YJ, Wu HC, Liu CH, Lee TH, Ho MY. Mediating roles of leukoaraiosis and infarcts in the effects of unilateral carotid artery stenosis on cognition. Front Aging Neurosci 2022; 14:972480. [PMID: 36248002 PMCID: PMC9559387 DOI: 10.3389/fnagi.2022.972480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background and objectivesLeukoaraiosis and infarcts are common in patients with carotid artery stenosis (CAS), and CAS severity, leukoaraiosis and infarcts all have been implicated in cognitive impairments. CAS severity was not only hypothesized to directly impede specific cognitive domains, but also transmit its effects indirectly to cognitive function through ipsilateral infarcts as well as periventricular leukoaraiosis (PVL) and deep white matter leukoaraiosis (DWML). We aimed to delineate the contributions of leukoaraiosis, infarcts and CAS to different specific cognitive domains.Materials and methodsOne hundred and sixty one participants with unilateral CAS (>50%) on the left (n = 85) or right (n = 76) side and 65 volunteers without significant CAS (<50%) were recruited. The PVL, DWML, and infarct severity were visually rated on MRI. A comprehensive cognitive battery was administered and standardized based on age norms. Correlation and mediation analyses were adopted to examine the direct and indirect influence of CAS, leukoaraiosis, and infarct on specific cognitive domains with adjustment for education, hypertension, diabetes mellitus, and hyperlipidemia.ResultsCarotid artery stenosis severity was associated with ipsilateral leukoaraiosis and infarct. Left CAS had direct effects on most cognitive domains, except for visual memory and constructional ability, and transmitted its indirect effects on all cognitive domains through ipsilateral PVL, and on constructional ability and psychomotor through infarcts. Right CAS only had negative direct effects on visual memory, psychomotor, design fluency and color processing speed, and transmitted its indirect effects on visual memory, word and color processing speed through ipsilateral infarcts. The trends of direct and indirect cognitive effects remained similar after covariate adjustment.ConclusionLeft and right CAS would predominantly lead to verbal and non-verbal cognitive impairment respectively, and such effects could be mediated through CAS-related leukoaraiosis and infarct. Given that cognition is subject to heterogeneous pathologies, the exact relationships between markers of large and small vessel diseases and their composite prognostic effects on cognition requires further investigation.
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Affiliation(s)
- Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Ting-Yu Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Yi-Ming Wu
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Department of Radiology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Yeu-Jhy Chang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Hsiu-Chuan Wu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chi-Hung Liu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Tsong-Hai Lee
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Tsong-Hai Lee,
| | - Meng-Yang Ho
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan City, Taiwan
- *Correspondence: Meng-Yang Ho,
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Hu G, Ge H, Yang K, Liu D, Liu Y, Jiang Z, Hu X, Xiao C, Zou Y, Liu H, Hu X, Chen J. Altered static and dynamic voxel-mirrored homotopic connectivity in patients with frontal glioma. Neuroscience 2022; 490:79-88. [PMID: 35278629 DOI: 10.1016/j.neuroscience.2022.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/19/2022] [Accepted: 03/04/2022] [Indexed: 01/02/2023]
Abstract
Contralateral regions play critical role in functional compensation in glioma patients. Voxel-mirrored homotopic connectivity (VMHC) characterizes the intrinsic functional connectivity (FC) of the brain, considered to have a regional functional basis. We aimed to investigate the alterations of brain regional function and VMHC in patients with frontal glioma, and further investigated the correlation between these alterations and cognition. We enrolled patients with frontal glioma and matched healthy controls (HC). We chose degree centrality (DC), regional homogeneity (ReHo), and VMHC to investigate the alterations of regional function and intrinsic FC in patients. Furthermore, partial correlation analyses were conducted to explore the relationship between imaging functional indicators and cognitions. Compared with HC, patients showed decreased static VMHC within right and left middle frontal gyrus (MFG.R, MFG.L), left superior frontal gyrus (SFG.L), right precuneus (PCUN.R), and left precuneus (PCUN.L), decreased static DC within left cingulate gyrus (CG.L), right superior frontal gyrus (SFG.R), and right postcentral gyrus (POCG.R), decreased static ReHo within CG.L, decreased dynamic ReHo within right inferior parietal lobule (IPL.R), but increased dynamic VMHC (dVMHC) within PCUN.R and PCUN.L. Furthermore, values of decreased VMHC within MFG.R, decreased DC within CG.L, decreased ReHo within CG.L, and increased dVMHC within PCUN.R were significantly positively correlated with cognitive functions. We preliminarily confirmed glioma causes regional dysfunction and disturbs long-distance FC, and long-distance FC showed strong instability in patients with frontal glioma. Meanwhile, the correlation analyses indicated directions for cognitive protection in patients with frontal glioma.
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Affiliation(s)
- Guanjie Hu
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Honglin Ge
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Kun Yang
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Dongming Liu
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Yong Liu
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Zijuan Jiang
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Xiao Hu
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Chaoyong Xiao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Yuanjie Zou
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Hongyi Liu
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China; Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Xinhua Hu
- Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China; Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
| | - Jiu Chen
- Institute of Neuropsychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Fourth Clinical College of Nanjing Medical University, Nanjing, Jiangsu, 210029, China; Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
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Richards E, Tales A, Bayer A, Norris JE, Hanley CJ, Thornton IM. Reaction Time Decomposition as a Tool to Study Subcortical Ischemic Vascular Cognitive Impairment. J Alzheimers Dis Rep 2021; 5:625-636. [PMID: 34632300 PMCID: PMC8461746 DOI: 10.3233/adr-210029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2021] [Indexed: 12/01/2022] Open
Abstract
Background: The study of reaction time (RT) and its intraindividual variability (IIV) in aging, cognitive impairment, and dementia typically fails to investigate the processing stages that contribute to an overall response. Applying “mental chronometry” techniques makes it possible to separately assess the role of processing components during environmental interaction. Objective: To determine whether RT and IIV-decomposition techniques can shed light on the nature of underlying deficits in subcortical ischemic vascular cognitive impairment (VCI). Using a novel iPad task, we examined whether VCI deficits occur during both initiation and movement phases of a response, and whether they are equally reflected in both RT and IIV. Methods: Touch cancellation RT and its IIV were measured in a group of younger adults (n = 22), cognitively healthy older adults (n = 21), and patients with VCI (n = 21) using an iPad task. Results: Whereas cognitively healthy aging affected the speed (RT) of response initiation and movement but not its variability (IIV), VCI resulted in both slowed RT and increased IIV for both response phases. Furthermore, there were group differences with respect to response phase. Conclusion: These results indicate that IIV can be more sensitive than absolute RT in separating VCI from normal aging. Furthermore, compared to cognitively healthy aging, VCI was characterized by significant deficits in planning/initiating action as well as performing movements. Such deficits have important implications for real life actions such as driving safety, employment, and falls risk.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, Wales, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, Wales, UK
| | - Antony Bayer
- Division of Population Medicine, Cardiff University, Cardiff, Wales, UK
| | - Jade E Norris
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire J Hanley
- Department of Psychology, Swansea University, Swansea, Wales, UK
| | - Ian M Thornton
- Department of Cognitive Science, University of Malta, Malta
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Sanderson-Cimino M, Panizzon MS, Elman JA, Tu X, Gustavson DE, Puckett O, Cross K, Notestine R, Hatton SN, Eyler LT, McEvoy LK, Hagler DJ, Neale MC, Gillespie NA, Lyons MJ, Franz CE, Fennema-Notestine C, Kremen WS. Periventricular and deep abnormal white matter differ in associations with cognitive performance at midlife. Neuropsychology 2021; 35:252-264. [PMID: 33970659 PMCID: PMC8500190 DOI: 10.1037/neu0000718] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Objective: Abnormal white matter (AWM) on magnetic resonance imaging is associated with cognitive performance in older adults. We explored cognitive associations with AWM during late-midlife. Method: Participants were community-dwelling men (n = 242; M = 61.90 years; range = 56-66). Linear-mixed effects regression models examined associations of total, periventricular, and deep AWM with cognitive performance, controlling for multiple comparisons. Models considering specific cognitive domains controlled for current general cognitive ability (GCA). We hypothesized that total AWM would be associated with worse processing speed, executive function, and current GCA; deep AWM would correlate with GCA and periventricular AWM would relate to specific cognitive abilities. We also assessed the potential influence of cognitive reserve by examining a moderation effect of early life (mean age of 20) cognition. Results: Greater total and deep AWM were associated with poorer current GCA. Periventricular AWM was associated with worse executive function, working memory, and episodic memory. When periventricular and deep AWM were modeled simultaneously, both retained their respective significant associations with cognitive performance. Cognitive reserve did not moderate associations. Conclusions: Our findings suggest that AWM contributes to poorer cognitive function in late-midlife. Examining only total AWM may obscure the potential differential impact of regional AWM. Separating total AWM into subtypes while controlling for current GCA revealed a dissociation in relationships with cognitive performance; deep AWM was associated with nonspecific cognitive ability whereas periventricular AWM was associated with specific frontal-related abilities and memory. Management of vascular or other risk factors that may increase the risk of AWM should begin during or before early late-midlife. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Mark Sanderson-Cimino
- Joint Doctoral Program in Clinical Psychology, San Diego State/University of California
- Center for Behavior Genetics of Aging, University of California
| | - Matthew S. Panizzon
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
| | - Jeremy A. Elman
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
| | - Xin Tu
- Family Medicine and Public Health, University of California
| | - Daniel E. Gustavson
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
- Department of Medicine, Vanderbilt University Medical Center
| | - Olivia Puckett
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
| | | | - Randy Notestine
- Department of Psychiatry University of California
- Computational and Applied Statistics Laboratory (CASL) at the San Diego Supercomputer Center
| | - Sean N Hatton
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
- Department of Neurosciences, University of California
| | - Lisa T. Eyler
- Department of Psychiatry University of California
- Mental Illness Research, Education, And Clinical Center, Veterans Affairs San Diego Healthcare System
| | - Linda K. McEvoy
- Department of Radiology, University of California, San Diego
| | | | - Michael C. Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University
| | - Carol E. Franz
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
| | - Christine Fennema-Notestine
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
- Department of Radiology, University of California, San Diego
| | - William S. Kremen
- Center for Behavior Genetics of Aging, University of California
- Department of Psychiatry University of California
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System
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Richards E, Thornton IM, Bayer A, Tales A. Inhibitory control deficits in vascular cognitive impairment revealed using the MILO task. Neuropsychologia 2021; 155:107794. [PMID: 33610617 DOI: 10.1016/j.neuropsychologia.2021.107794] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 01/29/2021] [Accepted: 02/15/2021] [Indexed: 02/08/2023]
Abstract
We used the MILO (Multi-Item Localization) task to characterise the performance of a group of older adults diagnosed with mild to moderate vascular cognitive impairment (VCI). The MILO task is designed to explore the temporal context of visual search and in addition to measuring overall completion time, provides a profile of serial reaction time (SRT) patterns across all items in a sequence. Of particular interest here is the Vanish/Remain MILO manipulation that can identify problems with inhibitory control during search. Typically, SRT functions closely overlap, regardless of whether items Vanish or Remain visible when selected, indicating an ability to ignore previously selected targets. Based on the distributed nature of VCI-related pathology and previous visual search studies from our group, we speculated that MILO performance would be compromised in this group of participants when items remained visible after being selected relative to when they vanished. Compared to cognitively healthy, age-matched control participants, the performance of VCI participants was characterised by overall slowing, increased error rates, and crucially, a compromised ability to ignore past locations. As predicted, the Vanish versus Remain SRT functions of VCI participants significantly diverged towards the end of the sequence, which was not the case for control groups. Overall, our findings suggest that the MILO task could be a useful tool for identifying non-age-related changes in behaviour with patient populations, and more generally hints at a possible inhibitory deficit in VCI.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, SA2 8PP, Wales, UK
| | - Ian M Thornton
- Department of Cognitive Science, University of Malta, Msida, MSD 2080, Malta
| | - Antony Bayer
- School of Medicine, Cardiff University, Cardiff, CF64 2XX, Wales, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, SA2 8PP, Wales, UK.
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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: 1.8] [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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Richards E, Bayer A, Hanley C, Norris JE, Tree JJ, Tales A. Reaction Time and Visible White Matter Lesions in Subcortical Ischemic Vascular Cognitive Impairment. J Alzheimers Dis 2020; 72:859-865. [PMID: 31658059 PMCID: PMC6918906 DOI: 10.3233/jad-190823] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Slowed behavioral reaction time is associated with pathological brain changes, including white matter lesions, the common clinical characteristic of subcortical ischemic vascular cognitive impairment (SIVCI). In the present study, reaction time (RT) employing Trails B of the Trail Making Test, with responses capped at 300 s, was investigated in SIVCI (n = 27) compared to cognitively healthy aging (CH) (n = 26). RT was significantly slowed in SIVCI compared to CH (Cohen’s d effect size = 1.26). Furthermore, failure to complete Trails B within 300 s was also a characteristic of SIVCI although some ostensibly cognitively healthy older adults also failed to complete within this time limit. Within the SIVCI group, RT did not differ significantly with respect to whether the patients were classified as having moderate/severe or mild, periventricular white matter changes visible on their diagnostic CT/MRI scans. This, together with the high degree of overlap in RT between the two SIVCI subgroups, raises the possibility that using visible ratings scales in isolation may lead to the underestimation of disease level.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
| | - Antony Bayer
- Department of Medicine, Cardiff University, Cardiff, UK
| | - Claire Hanley
- Department of Psychology, Swansea University, Swansea, UK
| | | | - Jeremy J Tree
- Department of Psychology, Swansea University, Swansea, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
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Richards E, Bayer A, Tree JJ, Hanley C, Norris JE, Tales A. Subcortical Ischemic Vascular Cognitive Impairment: Insights from Reaction Time Measures. J Alzheimers Dis 2020; 72:845-857. [PMID: 31594238 PMCID: PMC6918912 DOI: 10.3233/jad-190889] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In this study, reaction time (RT), intraindividual variability (IIV), and errors, and the effects of practice and processing load upon such function, were compared in patients with subcortical ischemic vascular cognitive impairment (SIVCI) [n = 27] and cognitively healthy older adults (CH) [n = 26]. Compared to CH aging, SIVCI was characterized by a profile of significantly slowed RT, raised IIV, and higher error levels, particularly in the presence of distracting stimuli, indicating that the integrity and/or accessibility of the additional functions required to support high processing load, serial search strategies, are reduced in SIVCI. Furthermore, although practice speeded RT in SIVCI, unlike CH, practice did not lead to an improvement in IIV. This indicates that improvement in RT in SIVCI can in fact mask an abnormally high degree of IIV. Because IIV appears more related to disease, function, and health than RT, its status and potential for change may represent a particularly meaningful, and relevant, disease characteristic of SIVCI. Finally, a high level of within-group variation in the above measures was another characteristic of SIVCI, with such processing heterogeneity in patients with ostensibly the same diagnosis, possibly related to individual variation in pathological load. Detailed measurement of RT, IIV, errors, and practice effects therefore reveal a degree of functional impairment in brain processing not apparent by measuring RT in isolation.
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Affiliation(s)
- Emma Richards
- Centre for Innovative Ageing, Swansea University, Swansea, UK.,Department of Psychology, Swansea University, Swansea, UK
| | - Antony Bayer
- Department of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy J Tree
- Department of Psychology, Swansea University, Swansea, UK
| | - Claire Hanley
- Department of Psychology, Swansea University, Swansea, UK
| | | | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK
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10
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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: 0.8] [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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11
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Wiggins ME, Jones J, Tanner JJ, Schmalfuss I, Hossein Aalaei-Andabili S, Heilman KM, Libon DJ, Beaver T, Price CC. Pilot Investigation: Older Adults With Atrial Fibrillation Demonstrate Greater Brain Leukoaraiosis in Infracortical and Deep Regions Relative to Non-Atrial Fibrillation Peers. Front Aging Neurosci 2020; 12:271. [PMID: 33117144 PMCID: PMC7493675 DOI: 10.3389/fnagi.2020.00271] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/04/2020] [Indexed: 12/28/2022] Open
Abstract
Background This pilot study explored differences in distribution of white matter hyperintensities (called leukoaraiosis; LA) in older adults (mean age = 67 years) with atrial fibrillation (AF) vs. non-AF peers measured by: (1) depth distribution; (2) anterior-posterior distribution; (3) associations between LA and cortical thickness; and (4) presence of lacunae and stroke. Methods Participant data (AF n = 17; non-AF peers n = 17) were acquired with the same magnetic resonance imaging protocols. LA volume was quantified by cortical depth (periventricular, deep, infracortical) and in anterior and posterior regions. Cortical thickness by lobe was assessed relative to LA load. Results Relative to non-AF peers, the AF group had twice the total LA volume (AF = 2.1% vs. Non-AF = 0.9%), over 10 times greater infracortical LA (AF = 0.72% vs. Non-AF = 0.07%), and three times greater deep LA (AF = 2.1% vs. Non-AF = 0.6%). Examinations of the extent of LA in anterior vs. posterior regions revealed a trend for more posterior relative to anterior LA. In the entire sample, total LA and infracortical LA were negatively associated with temporal lobe thickness. Only those with AF presented with lacunae or stroke. Conclusion Aging adults with AF had more total white matter disease than those without AF, particularly near the cortical mantle and deep within the cortex. Total and infracortical white matter disease in the entire sample negatively associated with temporal lobe thickness. Results suggest that those with AF have a distinct pattern of LA relative to those without AF, and that LA severity for all individuals may associate with structural changes in the cortex.
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Affiliation(s)
- Margaret E Wiggins
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Jacob Jones
- Department of Psychology, California State University San Bernardino, San Bernardino, CA, United States
| | - Jared J Tanner
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Ilona Schmalfuss
- Department of Radiology, University of Florida College of Medicine, Gainesville, FL, United States.,North Florida/South Georgia Veterans Health System, Gainesville, FL, United States
| | | | - Kenneth M Heilman
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, United States
| | - David J Libon
- Departments of Geriatrics and Gerontology and Psychology, School of Osteopathic Medicine, Rowan University, Stratford, NJ, United States
| | - Thomas Beaver
- Department of Thoracic and Cardiovascular Surgery, University of Florida College of Medicine, Gainesville, FL, United States
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
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12
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Amieva H, Meillon C, Proust-Lima C, Dartigues JF. Is Low Psychomotor Speed a Marker of Brain Vulnerability in Late Life? Digit Symbol Substitution Test in the Prediction of Alzheimer, Parkinson, Stroke, Disability, and Depression. Dement Geriatr Cogn Disord 2020; 47:297-305. [PMID: 31466055 DOI: 10.1159/000500597] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 04/25/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Dementia, stroke, depression, and disability are frequent in late life and are major causes of quality of life disruption and family burden. Even though each of these disorders relies on specific pathogenic processes, a common clinical manifestation is psychomotor slowing. OBJECTIVE We assessed the relevance of a simple marker of low psychomotor speed in predicting several brain outcomes: dementia, Alzheimer's disease (AD), Parkinson's disease (PD), stroke, depressive symptoms, and disability in activities of daily living (ADL) and instrumental ADL (IADL). METHODS PAQUID is a population-based study involving 3,777 individuals aged 65 or older prospectively followed-up with repeated clinical evaluations. After 10 years, 437 participants developed dementia, 333 developed AD, 71 developed PD, 207 reported incident stroke, 404 developed disability in ADL, 994 in IADL, and 494 developed depressive symptomology. Psychomotor speed was measured with the digit symbol substitution test (DSST). Cox proportional hazards models controlled for several confounders assessed the risk of incident outcomes. RESULTS Participants with low DSST performance had increased risk of incident all-type dementia (hazard ratio [HR] 3.41, p < 0.0001) and AD-type dementia (HR 3.18, p < 0.0001). Higher risk for PD (HR 2.98, p = 0.04), IADL (HR 1.82, p < 0.0001), ADL disability (HR 1.95, p = 0.001), depressive symptoms (HR 1.53, p = 0.03), and a statistical trend for stroke (HR 1.88, p = 0.09) was also found. CONCLUSION Low psychomotor speed is associated with an increased risk of developing various brain outcomes: dementia, AD, PD, disability, depressive symptoms, and marginally stroke. Low psychomotor speed may be the consequence of a number of discrete cerebral abnormalities and could be considered as a marker of brain vulnerability. In clinical practice, a low score in DSST should be seen as a warning sign of possible negative evolution.
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Affiliation(s)
- Hélène Amieva
- INSERM, U1219, Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France,
| | - Céline Meillon
- INSERM, U1219, Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
| | - Cécile Proust-Lima
- INSERM, U1219, Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
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13
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Chavda R, Cao JS, Benge JF. Neuropsychological impact of white matter hyperintensities in older adults without dementia. APPLIED NEUROPSYCHOLOGY-ADULT 2019; 28:354-362. [PMID: 31287337 DOI: 10.1080/23279095.2019.1633536] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The purpose of this study was to determine (a) if simple clinical judgements of white matter hyperintensities (WMH) on imaging are associated with measurable cognitive impacts in otherwise cognitively normal older adults, (b) if neuropsychological measures can predict those with WMH, and (c) the frequency of low cognitive scores in those with WMH on a battery of measures. Forty-four individuals judged free of other cognitive disorders despite moderate to extensive WMH were compared with 50 individuals matched on age (mean of 83), education (college educated), and gender (predominantly female). Data was obtained from the National Alzheimer's Coordinating Center database. The group with at least moderate WMH had lower scores on the Trail Making Test A, verbal fluency, and digit span. A component score derived from these measures was a significant predictor of the presence of WMH, though only correctly classified 68% of participants. Even in individuals free from other suspected conditions, clinically judged moderate to extensive WMH was associated with cognitive weaknesses for processing speed, working memory, and executive functioning. This shows that a relatively simple judgment of WMH burden is meaningfully associated with worse cognition. Implications and future directions for are discussed.
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Affiliation(s)
- Rihin Chavda
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA
| | - Jeffrey S Cao
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA
| | - Jared F Benge
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA.,Department of Neurology and Plummer Movement Disorders Center, Baylor Scott and White Health, Temple, Texas, USA
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14
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Chen H, Li Y, Liu Q, Shi Q, Wang J, Shen H, Chen X, Ma J, Ai L, Zhang YM. Abnormal Interactions of the Salience Network, Central Executive Network, and Default-Mode Network in Patients With Different Cognitive Impairment Loads Caused by Leukoaraiosis. Front Neural Circuits 2019; 13:42. [PMID: 31275116 PMCID: PMC6592158 DOI: 10.3389/fncir.2019.00042] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 05/28/2019] [Indexed: 12/31/2022] Open
Abstract
Leukoaraiosis (LA) is associated with cognitive impairment in the older people which can be demonstrated in functional connectivity (FC) based on resting-state functional magnetic resonance imaging (rs-fMRI). This study is to explore the FC changes in LA patients with different cognitive status by three network models. Fifty-three patients with LA were divided into three groups: the normal cognition (LA-NC; n = 14, six males), mild cognitive impairment (LA-MCI; n = 27, 13 males), and vascular dementia (LA-VD; n = 12, six males), according to the Mini Mental State Exam (MMSE) and Clinical Dementia Rating (CDR). The three groups and 30 matched healthy controls (HCs; 11 males) underwent rs-fMRI. The data of rs-fMRI were analyzed by independent components analysis (ICA) and region of interest (ROI) analysis by the REST toolbox. Then the FC was respectively analyzed by the default-mode network (DMN), salience networks (SNs) and the central executive network (CEN) with their results compared among the different groups. For inter-brain network analysis, there were negative FC between the SN and DMN in LA groups, and the FC decreased when compared with HC group. While there were enhanced inter-brain network FC between the SN and CEN as well as within the SN. The FC in patients with LA can be detected by different network models of rs-fMRI. The multi-model analysis is helpful for the further understanding of the cognitive changes in those patients.
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Affiliation(s)
- Hongyan Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuexiu Li
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Central Nervous System Injury, Beijing, China
| | - Qi Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qingli Shi
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Central Nervous System Injury, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, Beijing Pinggu Hospital, Beijing, China
| | - Jingfang Wang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Central Nervous System Injury, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan, China
| | - Huicong Shen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuzhu Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jun Ma
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lin Ai
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Mei Zhang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Central Nervous System Injury, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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