1
|
Zhou L, Yang W, Liu Y, Li J, Zhao M, Liu G, Zhang J. Correlations between cognitive reserve, gray matter, and cerebrospinal fluid volume in healthy elders and mild cognitive impairment patients. Front Neurol 2024; 15:1355546. [PMID: 38497043 PMCID: PMC10941649 DOI: 10.3389/fneur.2024.1355546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 02/21/2024] [Indexed: 03/19/2024] Open
Abstract
Objective To explore the effect of cognitive reserve (CR) on brain volume and cerebrospinal fluid (CSF) in patients with mild cognitive impairment (MCI) and healthy elders (HE). Methods 31 HE and 50 MCI patients were collected in this study to obtain structural MRI, cognitive function, and composite CR scores. Educational attainment, leisure time, and working activity ratings from two groups were used to generate cognitive reserve index questionnaire (CRIq) scores. The different volumes of brain regions and CSF were obtained using uAI research portal in both groups, which were taken as the regions of interest (ROI), the correlation analysis between ROIs and CRIq scores were conducted. Results The scores of CRIq, CRIq-leisure time, and CRIq-education in HE group were significantly higher than patients in MCI group, and the montreal cognitive assessment (MoCA) and minimum mental state examination (MMSE) scores were positively correlated with the CRIq, CRIq-education in both groups, and were positively correlated with CRIq-leisure time in MCI group. The scores of auditory verbal learning test (AVLT) and verbal fluency test (VFT) were also positively correlated with CRIq, CRIq-leisure time, and CRIq-education in MCI group, but the score of AVLT was only positively correlated with CRIq in HE group. Moreover, in MCI group, the volume of the right middle cingulate cortex and the right parahippocampal gyrus were negatively correlated with the CRIq, and the volume of CSF, peripheral CSF, and third ventricle were positively correlated with the CRIq-leisure time score. The result of mediation analysis suggested that right parahippocampal gryus mediated the main effect of the relationship between CRIq and MoCA score in MCI group. Conclusion People with higher CR show better levels of cognitive function, and MCI patients with higher CR showed more severe volume atrophy of the right middle cingulate cortex and the right parahippocampal gyrus, but more CSF at a given level of global cognition.
Collapse
Affiliation(s)
- Liang Zhou
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Second Clinical Medical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Wenxia Yang
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Second Clinical Medical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Yang Liu
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Second Clinical Medical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Jiachen Li
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Second Clinical Medical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Mengmeng Zhao
- Shanghai United Imaging Intelligence, Shanghai, China
| | - Guangyao Liu
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Jing Zhang
- Department of Magnetic Resonance, The Second Hospital of Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| |
Collapse
|
2
|
Chen X, Cook R, Filbey FM, Nguyen H, McColl R, Jeon-Slaughter H. Sex Difference in Cigarette-Smoking Status and Its Association with Brain Volumes Using Large-Scale Community-Representative Data. Brain Sci 2023; 13:1164. [PMID: 37626520 PMCID: PMC10452722 DOI: 10.3390/brainsci13081164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Cigarette smoking is believed to accelerate age-related neurodegeneration. Despite significant sex differences in both smoking behaviors and brain structures, the active literature is equivocal in parsing out a sex difference in smoking-associated brain structural changes. OBJECTIVE The current study examined subcortical and lateral ventricle gray matter (GM) volume differences among smokers, active, past, and never-smokers, stratified by sex. METHODS The current study data included 1959 Dallas Heart Study (DHS) participants with valid brain imaging data. Stratified by gender, multiple-group comparisons of three cigarette-smoking groups were conducted to test whether there is any cigarette-smoking group differences in GM volumes of the selected regions of interest (ROIs). RESULTS The largest subcortical GM volumetric loss and enlargement of the lateral ventricle were observed among past smokers for both females and males. However, these observed group differences in GM volumetric changes were statistically significant only among males after adjusting for age and intracranial volumes. CONCLUSIONS The study findings suggest a sex difference in lifetime-smoking-associated GM volumetric changes, even after controlling for aging and intracranial volumes.
Collapse
Affiliation(s)
- Xiaofei Chen
- Department of Statistics and Data Science, Southern Methodist University, Dallas, TX 75205, USA; (X.C.); (H.N.)
| | - Riley Cook
- VA North Texas Health Care Service, Dallas, TX 75216, USA;
| | - Francesca M. Filbey
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA;
| | - Hang Nguyen
- Department of Statistics and Data Science, Southern Methodist University, Dallas, TX 75205, USA; (X.C.); (H.N.)
| | - Roderick McColl
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;
| | - Haekyung Jeon-Slaughter
- VA North Texas Health Care Service, Dallas, TX 75216, USA;
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| |
Collapse
|
3
|
Yuan C, Palka JM, Rohatgi A, Joshi P, Berry J, Khera A, Brown ES. The Relationship Between Coronary Artery Calcification and Carotid Intima Media Thickness and Hippocampal Volume: An Analysis From the Dallas Heart Study. J Acad Consult Liaison Psychiatry 2023; 64:218-225. [PMID: 36681150 PMCID: PMC10200733 DOI: 10.1016/j.jaclp.2023.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 01/05/2023] [Accepted: 01/12/2023] [Indexed: 01/20/2023]
Abstract
BACKGROUND Higher rates of dementia are reported in people with a history of coronary artery disease. Smaller hippocampal volume (HV) is a risk factor for the development of dementia. OBJECTIVE This study assessed whether coronary artery calcification (CAC) and carotid intima media thickness (CIMT) are associated with HV in participants from the Dallas Heart Study, a community-based study of Dallas County, Texas, residents. METHODS Data from a total of n = 1821 participants in the Dallas Heart Study with brain magnetic resonance imaging, CAC, and CIMT information were included in the present study, after excluding those with a history of myocardial infarction or stroke. To evaluate the effect of CAC and CIMT on total HV, 4 linear regression analyses were conducted in which the primary predictor was (1) CAC as a continuous metric; (2) CAC as a binary metric (CAC = 0 vs. CAC ≥ 1); (3) CAC as a continuous metric but only for those with CAC >0; and (4) CIMT as a continuous metric. Demographic and cardiovascular disease risk factors, as well as intracranial volume, were entered into the model as covariates. RESULTS Participants were largely women (58.2%) with a mean age of 49.7 ± 10.3 years. Forty-six percent of the sample reported being Black, and approximately 14% reported being Hispanic. All 3 variations of the CAC effect were nonsignificant predictors of total HV (β = -0.013, P = 0.602; β = -0.011, P = 0.650; β = 0.036, P = 0.354, respectively), as was the effect of CIMT (β = 0.009, P = 0.686). CONCLUSIONS Current findings suggest nonsignificant relationships between both CAC and CIMT and between CAC and total HV, while controlling for other related factors in a large, diverse, community-based sample of people without a history of myocardial infarction or stroke. In the context of existing evidence that both coronary artery disease and smaller HV are associated with the development of dementia, the present findings suggest that neither marker of the cardiovascular disease examined here is associated with a reduction in HV in the population studied. Longitudinal studies are needed to assess relationships between CAC and CIMT and between CAC and HV over time.
Collapse
Affiliation(s)
- Christine Yuan
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Jayme M Palka
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Anand Rohatgi
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Parag Joshi
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Jarett Berry
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Amit Khera
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX
| | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX; The Altshuler Center for Education & Research, Metrocare Services, Dallas, TX.
| |
Collapse
|
4
|
Lowther MK, Tunnell JP, Palka JM, King DR, Salako DC, Macris DG, Italiya JB, Grodin JL, North CS, Brown ES. Relationship between inflammatory biomarker galectin-3 and hippocampal volume in a community study. J Neuroimmunol 2020; 348:577386. [PMID: 32927397 PMCID: PMC7673815 DOI: 10.1016/j.jneuroim.2020.577386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/01/2020] [Accepted: 09/05/2020] [Indexed: 10/23/2022]
Abstract
Galectin-3 (Gal3) is expressed by microglia and performs functions including adhesion; activation of macrophages and fibroblasts, and mediates inflammatory responses in the hippocampus. The present study examined whether serum Gal3 levels predict hippocampal volume in a multi-ethnic, community-based sample. Results of a multiple linear regression (controlling for depression, serum creatinine level, age, BMI, total brain volume, MoCA score, sex, ethnicity, smoking status, history of diabetes) showed that Gal3 levels significantly predicted left (p = .027) but not right hippocampal volume. The relationship was stronger in men than women. Findings suggest this novel inflammatory biomarker is associated with human hippocampal volume.
Collapse
Affiliation(s)
- Megan K Lowther
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Jarrod P Tunnell
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Jayme M Palka
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Darlene R King
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Damilola C Salako
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Dimitri G Macris
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Jay B Italiya
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America
| | - Justin L Grodin
- Division of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-8830, United States of America
| | - Carol S North
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America; The Altshuler Center for Education & Research, Metrocare Services, 1250 Mockingbird Lane, Suite 330, Dallas, TX 75247, United States of America
| | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849, Dallas, TX 75390-8849, United States of America.
| |
Collapse
|
5
|
Sadhu M, Nicholson TDF, Garcia R, Lampley S, Rain M, Fritz A, Jalalizadeh B, Van Enkevort E, Palka J, Brown ES. Relationship between trust in neighbors and regional brain volumes in a population-based study. Psychiatry Res Neuroimaging 2019; 286:11-17. [PMID: 30852253 DOI: 10.1016/j.pscychresns.2019.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 02/14/2019] [Accepted: 03/01/2019] [Indexed: 12/30/2022]
Abstract
Trust is a fundamental part of human interpersonal relationships, and among other complex factors it is shown to be linked with demographic characteristics and specific regions of the brain. The authors utilized a large, community-based database gathered from the Dallas Heart Study to determine specific brain regions associated with an individual's trust in neighbors. A trust questionnaire was taken and regional brain volumes were determined from structural magnetic resonance imaging. Two analyses using logistic regressions in a training set and validation set were performed to investigate the association between measures of trust and bilateral brain region volumes and thickness. A total of 1527 participants were included in the final analysis. Right caudal anterior cingulate cortex thickness and left caudate volume were inversely correlated with neighbor trust, while left amygdala volume was positively correlated with neighbor trust. Greater age and higher level of education were positively correlated with neighbor trust. African Americans showed less neighbor trust than Caucasians and Hispanics. Anterior cingulate cortex, caudate, and amygdala are all integral parts of the salience network; thus, results of this study suggest that the salience network, the brain network responsible for functions such as communication and social behavior, may play a role in the formation of interpersonal trust.
Collapse
Affiliation(s)
- Mohona Sadhu
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Theresa de Freitas Nicholson
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Rogelio Garcia
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Susana Lampley
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Marian Rain
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Andrew Fritz
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Bayan Jalalizadeh
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Erin Van Enkevort
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - Jayme Palka
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States
| | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, MC 8849 Dallas, TX, United States.
| |
Collapse
|
6
|
Daftary S, Van Enkevort E, Kulikova A, Legacy M, Brown ES. Relationship between depressive symptom severity and amygdala volume in a large community-based sample. Psychiatry Res Neuroimaging 2019; 283:77-82. [PMID: 30554129 DOI: 10.1016/j.pscychresns.2018.12.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 12/05/2018] [Accepted: 12/06/2018] [Indexed: 02/03/2023]
Abstract
Amygdala is an affective processing center that regulates and assigns valence to different emotions and has been implicated in the pathophysiology of mood disorders. This population-based study employed a community sample of 1747 adults to examine relationships between amygdala volume and depressive symptom severity. Neuroimaging data from participants in the Dallas Heart Study were used. Magnetic resonance images of right, left, and total amygdala volume were used as response variables in multiple regressions. Predictor variables included Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores, intracranial volume, age, gender, race/ethnicity, body mass index, self-reported alcohol use, years of education, and psychotropic medication use. In the overall sample, QIDS-SR scores were not significantly related to left, right or total amygdala volume. A significant QIDS-SR by age interaction was observed, thus a follow-up subgroup analysis was conducted in age groups 18-39, 40-59, and ≥ 960. A significant negative relationship was observed between QIDS-SR scores and right and total, but not left, amygdala volume in the 18-39 age group but not in other age groups. Significant relationship between QIDS-SR scores and amygdala volume in young adults suggests possible biological differences in depressive symptoms in people of this age group.
Collapse
Affiliation(s)
- Shivani Daftary
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. MC 8849, Dallas, TX, USA; Greenhill School, Addison, TX 75390-8849, USA
| | - Erin Van Enkevort
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. MC 8849, Dallas, TX, USA
| | - Alexandra Kulikova
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. MC 8849, Dallas, TX, USA
| | | | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. MC 8849, Dallas, TX, USA.
| |
Collapse
|
7
|
Laubach M, Lammers F, Zacharias N, Feinkohl I, Pischon T, Borchers F, Slooter AJC, Kühn S, Spies C, Winterer G. Size matters: Grey matter brain reserve predicts executive functioning in the elderly. Neuropsychologia 2018; 119:172-181. [PMID: 30102906 DOI: 10.1016/j.neuropsychologia.2018.08.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 08/07/2018] [Accepted: 08/09/2018] [Indexed: 11/28/2022]
Abstract
Preserved executive functioning (EF) is crucial for daily functioning in the elderly and it appears to predict dementia development. We sought to clarify the role of atrophy-corrected cortical grey matter (GM) volume as a potential brain reserve (BR) marker for EF in the elderly. In total, 206 pre-surgical subjects (72.50 ± 4.95 years; mean MMSE score 28.50) were investigated. EF was primarily assessed using the Trail Making Test B (TMT B). Global/ lobar GM volumes were acquired with T1 MP-RAGE. Adjusting for key covariates including a brain atrophy index (i.e. brain parenchymal fraction), multiple linear regression analysis was used to study associations of GM volumes and TMT B. All GM volumes - most notably of global GM - were significantly associated with TMT B independently of GM atrophy (ß = -0.201 to -0.275, p = 0.001-0.012). Using atrophy-corrected GM volume as an estimate of maximal GM size in youth may serve as a BR predictor for cognitive decline in future studies investigating BR in the elderly.
Collapse
Affiliation(s)
- M Laubach
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; PharmaImage Biomarker Solutions GmbH, Biotech Park Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany.
| | - F Lammers
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; PharmaImage Biomarker Solutions GmbH, Biotech Park Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - N Zacharias
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; PharmaImage Biomarker Solutions GmbH, Biotech Park Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - I Feinkohl
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - T Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - F Borchers
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - A J C Slooter
- Department of Intensive Care Medicine and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - S Kühn
- Clinic and Polyclinic of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Hamburg, Germany; PharmaImage Biomarker Solutions GmbH, Biotech Park Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - C Spies
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - G Winterer
- Clinical Neuroscience Research Group, Experimental and Clinical Research Center (ECRC), Dept. of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; PharmaImage Biomarker Solutions GmbH, Biotech Park Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | | |
Collapse
|
8
|
Ritter A, Hawley N, Banks SJ, Miller JB. The Association between Montreal Cognitive Assessment Memory Scores and Hippocampal Volume in a Neurodegenerative Disease Sample. J Alzheimers Dis 2018; 58:695-699. [PMID: 28453481 PMCID: PMC5467712 DOI: 10.3233/jad-161241] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Despite widespread use, there have been few investigations into the neuroanatomical correlates of the Montreal Cognitive Assessment (MoCA). In a sample of 138 consecutive patients presenting with cognitive complaints, we report significant correlations between lower MoCA memory scores and smaller hippocampal volumes (r = 0.36–0.41, p < 0.001). We also report that the newly devised memory index score, designed to better capture encoding deficits than the standard delayed recall score, was not significantly better for predicting hippocampal volume. These initial results suggest that poor performance on the MoCA’s memory section should prompt further evaluation for hippocampal atrophy.
Collapse
Affiliation(s)
- Aaron Ritter
- Correspondence to: Aaron Ritter, Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W. Bonneville Avenue, Las Vegas, NV 89106, USA. Tel.: +1 702 484 6000; Fax: +1 702 483 6039; E-mail:
| | | | | | | |
Collapse
|
9
|
Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis. Neurobiol Aging 2017; 57:195-205. [DOI: 10.1016/j.neurobiolaging.2017.04.025] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 04/26/2017] [Accepted: 04/28/2017] [Indexed: 11/20/2022]
|
10
|
van Loenhoud AC, Wink AM, Groot C, Verfaillie SCJ, Twisk J, Barkhof F, van Berckel B, Scheltens P, van der Flier WM, Ossenkoppele R. A neuroimaging approach to capture cognitive reserve: Application to Alzheimer's disease. Hum Brain Mapp 2017. [PMID: 28631336 DOI: 10.1002/hbm.23695] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Cognitive reserve (CR) explains interindividual differences in the ability to maintain cognitive function in the presence of neuropathology. We developed a neuroimaging approach including a measure of brain atrophy and cognition to capture this construct. In a group of 511 Alzheimer's disease (AD) biomarker-positive subjects in different stages across the disease spectrum, we performed 3T magnetic resonance imaging and predicted gray matter (GM) volume in each voxel based on cognitive performance (i.e. a global cognitive composite score), adjusted for age, sex, disease stage, premorbid brain size (i.e. intracranial volume) and scanner type. We used standardized individual differences between predicted and observed GM volume (i.e. W-scores) as an operational measure of CR. To validate this method, we showed that education correlated with mean W-scores in whole-brain (r = -0.090, P < 0.05) and temporoparietal (r = -0.122, P < 0.01) masks, indicating that higher education was associated with more CR (i.e. greater atrophy than predicted from cognitive performance). In a voxel-wise analysis, this effect was most prominent in the right inferior and middle temporal and right superior lateral occipital cortex (P < 0.05, corrected for multiple comparisons). Furthermore, survival analyses among subjects in the pre-dementia stage revealed that the W-scores predicted conversion to more advanced disease stages (whole-brain: hazard ratio [HR] = 0.464, P < 0.05; temporoparietal: HR = 0.397, P < 0.001). Our neuroimaging approach captures CR with high anatomical detail and at an individual level. This standardized method is applicable to various brain diseases or CR proxies and can flexibly incorporate different neuroimaging modalities and cognitive parameters, making it a promising tool for scientific and clinical purposes. Hum Brain Mapp 38:4703-4715, 2017. © 2017 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Anna C van Loenhoud
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Colin Groot
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Sander C J Verfaillie
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Jos Twisk
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Bart van Berckel
- Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
11
|
Zamboni G, Griffanti L, Jenkinson M, Mazzucco S, Li L, Küker W, Pendlebury ST, Rothwell PM. White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke. Stroke 2017; 48:1539-1547. [DOI: 10.1161/strokeaha.116.016044] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 12/29/2016] [Accepted: 01/18/2017] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Among screening tools for cognitive impairment in large cohorts, the Montreal Cognitive Assessment (MoCA) seems to be more sensitive to early cognitive impairment than the Mini-Mental State Examination (MMSE), particularly after transient ischemic attack or minor stroke. We reasoned that if MoCA-detected early cognitive impairment is pathologically significant, then it should be specifically associated with the presence of white matter hyperintensities (WMHs) and reduced fractional anisotropy (FA) on magnetic resonance imaging.
Methods—
Consecutive eligible patients with transient ischemic attack or minor stroke (Oxford Vascular Study) underwent magnetic resonance imaging and cognitive assessment. We correlated MoCA and MMSE scores with WMH and FA, then specifically studied patients with low MoCA and normal MMSE.
Results—
Among 400 patients, MoCA and MMSE scores were significantly correlated (all
P
<0.001) with WMH volumes (
r
MoCA
=−0.336;
r
MMSE
=−0.297) and FA (
r
MoCA
=0.409;
r
MMSE
=0.369) and—on voxel-wise analyses—with WMH in frontal white matter and reduced FA in almost all white matter tracts. However, only the MoCA was independently correlated with WMH volumes (
r
=−0.183;
P
<0.001), average FA values (
r
=0.218;
P
<0.001), and voxel-wise reduced FA in anterior tracts after controlling for the MMSE. In addition, patients with low MoCA but normal MMSE (n=57) had higher WMH volumes (
t
=3.1;
P
=0.002), lower average FA (
t
=−4.0;
P
<0.001), and lower voxel-wise FA in almost all white matter tracts than those with normal MoCA and MMSE (n=238).
Conclusions—
In patients with transient ischemic attack or minor stroke, early cognitive impairment detected with the MoCA but not with the MMSE was independently associated with white matter damage on magnetic resonance imaging, particularly reduced FA.
Collapse
Affiliation(s)
- Giovanna Zamboni
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Ludovica Griffanti
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Mark Jenkinson
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Sara Mazzucco
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Linxin Li
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Wilhelm Küker
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Sarah T. Pendlebury
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Peter M. Rothwell
- From the Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital (G.Z., L.G., S.M., L.L., W.K., S.T.P., P.M.R.) and Oxford Centre for Functional MRI of the Brain (FMRIB) (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| |
Collapse
|
12
|
Del Brutto OH, Mera RM, Del Brutto VJ, Sedler MJ. The bicaudate index inversely associates with performance in the Montreal Cognitive Assessment (MoCA) in older adults living in rural Ecuador. The Atahualpa project. Int J Geriatr Psychiatry 2016; 31:944-50. [PMID: 26833914 DOI: 10.1002/gps.4419] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2015] [Accepted: 12/03/2015] [Indexed: 11/10/2022]
Abstract
OBJECTIVE Assessment of cognitive impairment in rural areas of developing countries is complicated by illiteracy and cross-cultural factors. A better way to estimate the usefulness of cognitive screening instruments is to evaluate their correlation with imaging biomarkers. The bicaudate index (a marker of central atrophy) correlates with cognitive performance. We assessed the relationship of the bicaudate index with the MoCA to estimate the usefulness of this test to detect individuals with cognitive decline in these regions. METHODS Atahualpa residents aged ≥60 years identified during door-to-door surveys were evaluated with the MoCA and invited to undergo brain MRI. Using generalized linear models, we estimated whether the bicaudate index correlates with MoCA scores, after adjusting for demographics and relevant clinical and neuroimaging confounders. RESULTS Out of 385 eligible persons, 290 (75%) were enrolled. Mean bicaudate index was 0.14 ± 0.03, and mean total MoCA score was 19 ± 5 points. Locally weighted scatterplot smoothing showed a nearly linear inverse relationship between the bicaudate index and the total MoCA score. In the fully adjusted generalized linear model, the bicaudate index was inversely associated with the total MoCA score (p < 0.001), which dropped by 5.3% (95% C.I.: 1.7%-8.8%) for every standard deviation of the bicaudate index. In addition, most domain-specific MoCA scores were inversely associated with the bicaudate index. CONCLUSIONS The inverse relationship between the bicaudate index and the MoCA score provides evidence that the MoCA is reliable to detect structural brain damage and useful to assess cognitive performance in less educated individuals. Copyright © 2016 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
- Oscar H Del Brutto
- School of Medicine, Universidad Espíritu Santo, Ecuador, Guayaquil, Ecuador
| | | | | | - Mark J Sedler
- School of Medicine, Stony Brook University, New York, NY, USA
| |
Collapse
|
13
|
Griffanti L, Zamboni G, Khan A, Li L, Bonifacio G, Sundaresan V, Schulz UG, Kuker W, Battaglini M, Rothwell PM, Jenkinson M. BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities. Neuroimage 2016; 141:191-205. [PMID: 27402600 PMCID: PMC5035138 DOI: 10.1016/j.neuroimage.2016.07.018] [Citation(s) in RCA: 233] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 07/06/2016] [Accepted: 07/07/2016] [Indexed: 12/21/2022] Open
Abstract
Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs) is increasingly needed, given the presence of these MRI findings in patients with several neurological and vascular disorders, as well as in elderly healthy subjects. We present BIANCA (Brain Intensity AbNormality Classification Algorithm), a fully automated, supervised method for WMH detection, based on the k-nearest neighbour (k-NN) algorithm. Relative to previous k-NN based segmentation methods, BIANCA offers different options for weighting the spatial information, local spatial intensity averaging, and different options for the choice of the number and location of the training points. BIANCA is multimodal and highly flexible so that the user can adapt the tool to their protocol and specific needs. We optimised and validated BIANCA on two datasets with different MRI protocols and patient populations (a "predominantly neurodegenerative" and a "predominantly vascular" cohort). BIANCA was first optimised on a subset of images for each dataset in terms of overlap and volumetric agreement with a manually segmented WMH mask. The correlation between the volumes extracted with BIANCA (using the optimised set of options), the volumes extracted from the manual masks and visual ratings showed that BIANCA is a valid alternative to manual segmentation. The optimised set of options was then applied to the whole cohorts and the resulting WMH volume estimates showed good correlations with visual ratings and with age. Finally, we performed a reproducibility test, to evaluate the robustness of BIANCA, and compared BIANCA performance against existing methods. Our findings suggest that BIANCA, which will be freely available as part of the FSL package, is a reliable method for automated WMH segmentation in large cross-sectional cohort studies.
Collapse
Affiliation(s)
- Ludovica Griffanti
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
| | - Giovanna Zamboni
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Aamira Khan
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Linxin Li
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Guendalina Bonifacio
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Vaanathi Sundaresan
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Ursula G Schulz
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Wilhelm Kuker
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Peter M Rothwell
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Mark Jenkinson
- Centre for the Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| |
Collapse
|
14
|
Carlson SM, Kim J, Khan DA, King K, Lucarelli RT, McColl R, Peshock R, Brown ES. Hippocampal volume in patients with asthma: Results from the Dallas Heart Study. J Asthma 2016; 54:9-16. [PMID: 27187077 DOI: 10.1080/02770903.2016.1186174] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Asthma is associated with an increased risk of mild cognitive impairment and dementia. Depression and oral corticosteroid use are associated with atrophy of the hippocampus and are common in asthma. However, minimal neuroimaging data are available in asthma patients. METHODS We conducted a retrospective analysis of 1,287 adult participants from the Dallas Heart Study, an epidemiological sample of Dallas County residents. Study outcome variables were hippocampal volumes measured by FreeSurfer. ANOVA was used to examine a gender difference in hippocampal volumes. General Linear Models (GLM) were conducted to examine asthma diagnosis association with hippocampal volumes. RESULTS The prevalence rate of asthma among our study sample was 10.8% with 9.6% in males and 11.7% in females. After controlling for demographic characteristics, participants with asthma had significantly smaller total, right, and left hippocampal volumes than those without asthma. The association of asthma with smaller hippocampal volume was significant among males but not among females. CONCLUSION Hippocampal volume in a large and diverse sample of adults was significantly smaller in people with asthma as compared to those without asthma. These findings suggest that asthma may be associated with structural brain differences. Thus, medical illnesses without obvious direct neurodegenerative or even vascular involvement can be associated with brain changes. Because the hippocampus is a brain region involved in memory formation, these findings may have implications for treatment adherence that could have important implications for asthma treatment. Study limitations are the reliance on a self-reported asthma diagnosis and lack of additional asthma clinical information.
Collapse
Affiliation(s)
- Scott M Carlson
- a Department of Psychiatry , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - Julie Kim
- b Division of Allergy & Immunology in the Department of Internal Medicine , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - David A Khan
- b Division of Allergy & Immunology in the Department of Internal Medicine , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - Kevin King
- c Department of Radiology , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - Richard T Lucarelli
- c Department of Radiology , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - Roderick McColl
- c Department of Radiology , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - Ronald Peshock
- c Department of Radiology , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| | - E Sherwood Brown
- a Department of Psychiatry , The University of Texas Southwestern Medical Center , Dallas , TX , USA
| |
Collapse
|
15
|
Nilsonne G, Tamm S, Månsson KNT, Åkerstedt T, Lekander M. Leukocyte telomere length and hippocampus volume: a meta-analysis. F1000Res 2015; 4:1073. [PMID: 26674112 PMCID: PMC4670011 DOI: 10.12688/f1000research.7198.1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/08/2015] [Indexed: 12/28/2022] Open
Abstract
Leukocyte telomere length has been shown to correlate to hippocampus volume, but effect estimates differ in magnitude and are not uniformly positive. This study aimed primarily to investigate the relationship between leukocyte telomere length and hippocampus gray matter volume by meta-analysis and secondarily to investigate possible effect moderators. Five studies were included with a total of 2107 participants, of which 1960 were contributed by one single influential study. A random-effects meta-analysis estimated the effect to r = 0.12 [95% CI -0.13, 0.37] in the presence of heterogeneity and a subjectively estimated moderate to high risk of bias. There was no evidence that apolipoprotein E (APOE) genotype was an effect moderator, nor that the ratio of leukocyte telomerase activity to telomere length was a better predictor than leukocyte telomere length for hippocampus volume. This meta-analysis, while not proving a positive relationship, also is not able to disprove the earlier finding of a positive correlation in the one large study included in analyses. We propose that a relationship between leukocyte telomere length and hippocamus volume may be mediated by transmigrating monocytes which differentiate into microglia in the brain parenchyma.
Collapse
Affiliation(s)
- Gustav Nilsonne
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Sandra Tamm
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kristoffer N. T. Månsson
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
- PRIMA Psychiatry, Stockholm, Sweden
| | - Torbjörn Åkerstedt
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mats Lekander
- Stress Research Institute, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
16
|
Srinivasa RN, Rossetti HC, Gupta MK, Rosenberg RN, Weiner MF, Peshock RM, McColl RW, Hynan LS, Lucarelli RT, King KS. Cardiovascular Risk Factors Associated with Smaller Brain Volumes in Regions Identified as Early Predictors of Cognitive Decline. Radiology 2015. [PMID: 26218598 DOI: 10.1148/radiol.2015142488] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE To determine in a large multiethnic cohort the cardiovascular and genetic risk factors associated with smaller volume in the hippocampus, precuneus, and posterior cingulate, and their association with preclinical deficits in cognitive performance in patients younger and older than 50 years. MATERIALS AND METHODS The institutional review board approved the study and all participants provided written informed consent. Eligible for this study were 1629 participants (700 men and 929 women; mean age, 50.0 years ± 10.2 [standard deviation]) drawn from the population-based Dallas Heart Study who underwent laboratory and clinical analysis in an initial baseline visit and approximately 7 years later underwent brain magnetic resonance imaging with automated volumetry and cognitive assessment with the Montreal Cognitive Assessment (MoCA). Regression analysis showed associations between risk factors and segmental volumes, and associations between these volumes with cognitive performance in participants younger and older than 50 years. RESULTS Lower hippocampal volume was associated with previous alcohol consumption (standardized estimate, -0.04; P = .039) and smoking (standardized estimate, -0.04; P = .048). Several risk factors correlated with lower total brain, posterior cingulate, and precuneus volumes. Higher total (standardized estimate, 0.06; P = .050), high-density lipoprotein (standardized estimate, 0.07; P = .003), and low-density lipoprotein (standardized estimate, 0.04; P = .037) cholesterol levels were associated with larger posterior cingulate volume, and higher triglyceride levels (standardized estimate, 0.06; P = .004) were associated with larger precuneus volume. Total MoCA score was associated with posterior cingulate volume (standardized estimate, 0.13; P = .001) in younger individuals and with hippocampal (standardized estimate, 0.06; P < .05) and precuneus (standardized estimate, 0.08; P < .023) volumes in older adults. CONCLUSION Smaller volumes in specific brain regions considered to be early markers of dementia risk were associated with specific cardiovascular disease risk factors and cognitive deficits in a predominantly midlife multiethnic population-based sample. Additionally, the risk factors most associated with these brain volumes differed in participants younger and older than 50 years, as did the association between brain volume and MoCA score.
Collapse
Affiliation(s)
- Rajiv N Srinivasa
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Heidi C Rossetti
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Mohit K Gupta
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Roger N Rosenberg
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Myron F Weiner
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Ronald M Peshock
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Roderick W McColl
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Linda S Hynan
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Richard T Lucarelli
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Kevin S King
- From the University of Texas Southwestern Medical Center, Department of Radiology, 5323 Harry Hines Blvd, Dallas, TX 75390
| |
Collapse
|