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Ishizaka H, Sekine A, Naka M, Nakano S, Nagase H, Tsushima Y. Slight hyperintensity of the left piriform cortex and amygdala on T2-weighted FLAIR images in older adults and patients with probable Alzheimer's disease. Acta Radiol 2025:2841851251328261. [PMID: 40123368 DOI: 10.1177/02841851251328261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2025]
Abstract
BackgroundThe left piriform cortex and amygdala (PC&A) is an early target for deterioration due to aging and Alzheimer's disease (AD) in several neuropathological and magnetic resonance (MR) volumetric studies. We observed slight hyperintensity of the left PC&A in older adults and probable AD (pAD) patients on T2-weighted fluid-attenuated inversion recovery (T2W-FLAIR) images.PurposeTo quantitatively assess the validity of the left PC&A hyperintensity in older adults and pAD patients.Material and MethodsT2W-FLAIR images from three groups were retrospectively evaluated: (i) younger control (YC; n = 77): individuals aged 37.9 ± 8.4 years; (ii) older control (OC; n = 98): individuals aged 76.9 ± 5.3 years without cognitive impairment; and (iii) pAD (n = 35): individuals aged 80.5 ± 6.9 years with pAD. Signal intensity (SI) ratios of the left to right PC&A (L-PC&A/R-PC&A) were calculated for all groups. In the OC and pAD groups, SI ratios of the left PC&A to pons (L-PC&A/P) and the right PC&A to pons (R-PC&A/P) were calculated. The regions of interest were defined as large as possible on transaxial images in which the PC&As were most broadly depicted.ResultsThe mean L-PC&A/R-PC&A in the YC, OC, and pAD groups showed an increasing trend in that sequence (P < 0.001). The mean L-PC&A/P was higher in the pAD group than in the OC group (P < 0.001). However, the mean R-PC&A/P was not significantly different between the OC and pAD groups (P = 0.245).ConclusionThe SI of the left PC&A on T2W-FLAIR images significantly increased with age and in individuals with pAD, likely reflecting the deterioration of the left PC&A.
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Affiliation(s)
- Hiroshi Ishizaka
- Department of Radiology, Maebashi Red Cross Hospital, Gunma, Japan
| | - Akiko Sekine
- Department of Neurology, Maebashi Red Cross Hospital, Gunma, Japan
| | - Minoru Naka
- Department of Radiology, Maebashi Red Cross Hospital, Gunma, Japan
| | - Saeki Nakano
- Department of Radiology, Maebashi Red Cross Hospital, Gunma, Japan
| | - Hiroyuki Nagase
- Department of Radiology, Maebashi Red Cross Hospital, Gunma, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Gunma University, Gunma, Japan
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Pho C, Yu FF, Palka JM, Brown ES. The relationship between alcohol consumption and amygdala volume in a community-based sample. Brain Imaging Behav 2024; 18:884-891. [PMID: 38568283 DOI: 10.1007/s11682-024-00879-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 08/31/2024]
Abstract
Most prior studies have reported decreased amygdala volume in those with a history of alcohol use disorder. Decreased amygdala volume associated with alcohol use disorder may be related to an increased risk of addiction and relapse. However, the relationship between amygdala volume and a broad range of alcohol consumption is largely unexplored. The present cross-sectional analysis investigates the relationship between amygdala volume and self-reported alcohol consumption in participants of the Dallas Heart Study, a community-based study of Dallas County, Texas residents. Brain imaging and survey data from participants (n = 2023) were obtained, and multiple linear regressions were performed with the average amygdala volume as the dependent variable and drinking status, drinking risk, drinks per week, and binge drinking as independent variables. Drinking risk was categorized such that low-risk constituted ≤ 14 drinks per week in men and ≤ 7 drinks per week in women, while > 14 drinks per week in men and > 7 drinks per week in women constituted high-risk. Age, sex, intracranial volume, body mass index, education, and Quick Inventory of Depressive Symptomatology-Self Report score were included in all models as covariates. No statistically significant (p ≤ .05) associations were observed between self-reported alcohol consumption and amygdala volume. The present study suggests non-significant relationships between self-reported alcohol consumption and amygdala volume when controlling for relevant demographic factors in a large, community-based sample.
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Affiliation(s)
- Christine Pho
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8849, Dallas, Texas, 75390, United States
| | - Fang F Yu
- Department of Radiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, Texas, 75390, United States
| | - Jayme M Palka
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8849, Dallas, Texas, 75390, United States
| | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8849, Dallas, Texas, 75390, United States.
- The Altshuler Center for Education and Research at Metrocare Services, 1345 River Bend Dr, Suite 200, Dallas, Texas, 75247, United States.
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Mazaheri M, Radahmadi M, Sharifi MR. Effects of chronic social equality and inequality conditions on passive avoidance memory and PTSD-like behaviors in rats under chronic empathic stress. Int J Neurosci 2024:1-12. [PMID: 38598305 DOI: 10.1080/00207454.2024.2341913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/07/2024] [Indexed: 04/12/2024]
Abstract
INTRODUCTION Social inequality conditions induce aversion and affect brain functions and mood. This study investigated the effects of chronic social equality and inequality (CSE and CSI, respectively) conditions on passive avoidance memory and post-traumatic stress disorder (PTSD)-like behaviors in rats under chronic empathic stress. METHODS Rats were divided into different groups, including control, sham-observer, sham-demonstrator, observer, demonstrator, and co-demonstrator groups. Chronic stress (2 h/day) was administered to all stressed groups for 21 days. Fear learning, fear memory, memory consolidation, locomotor activity, and PTSD-like behaviors were evaluated using the passive avoidance test. Apart from the hippocampal weight, the correlations of memory and right hippocampal weight with serum corticosterone (CORT) levels were separately assessed for all experimental groups. RESULTS Latency was significantly higher in the demonstrator and sham-demonstrator groups compared to the control group. It was decreased significantly in other groups compared to the control group. Latency was also decreased in the observer and co-demonstrator groups compared to the demonstrator group. Moreover, the right hippocampal weight was significantly decreased in the demonstrator and sham-demonstrator groups compared to the control group. Pearson's correlation of memory and hippocampal weight with serum CORT levels supported the present findings. CONCLUSION Maladaptive fear responses occurred in demonstrators and sham-demonstrators. Also, extremely high levels of psychological stress, especially under CSI conditions (causing abnormal fear learning) led to heightened fear memory and PTSD-like behaviors. Right hippocampal atrophy confirmed the potential role of CSI conditions in promoting PTSD-like behaviors. Compared to inequality conditions, the abnormal fear memory was reduced under equality conditions.
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Affiliation(s)
- Mohammad Mazaheri
- Department of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Radahmadi
- Department of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Reza Sharifi
- Department of Physiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Deangeli D, Iarussi F, Külsgaard H, Braggio D, Princich JP, Bendersky M, Iarussi E, Larrabide I, Orlando JI. NORHA: A NORmal Hippocampal Asymmetry Deviation Index Based on One-Class Novelty Detection and 3D Shape Features. Brain Topogr 2023; 36:644-660. [PMID: 37382838 DOI: 10.1007/s10548-023-00985-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 06/21/2023] [Indexed: 06/30/2023]
Abstract
Radiologists routinely analyze hippocampal asymmetries in magnetic resonance (MR) images as a biomarker for neurodegenerative conditions like epilepsy and Alzheimer's Disease. However, current clinical tools rely on either subjective evaluations, basic volume measurements, or disease-specific models that fail to capture more complex differences in normal shape. In this paper, we overcome these limitations by introducing NORHA, a novel NORmal Hippocampal Asymmetry deviation index that uses machine learning novelty detection to objectively quantify it from MR scans. NORHA is based on a One-Class Support Vector Machine model learned from a set of morphological features extracted from automatically segmented hippocampi of healthy subjects. Hence, in test time, the model automatically measures how far a new unseen sample falls with respect to the feature space of normal individuals. This avoids biases produced by standard classification models, which require being trained using diseased cases and therefore learning to characterize changes produced only by the ones. We evaluated our new index in multiple clinical use cases using public and private MRI datasets comprising control individuals and subjects with different levels of dementia or epilepsy. The index reported high values for subjects with unilateral atrophies and remained low for controls or individuals with mild or severe symmetric bilateral changes. It also showed high AUC values for discriminating individuals with hippocampal sclerosis, further emphasizing its ability to characterize unilateral abnormalities. Finally, a positive correlation between NORHA and the functional cognitive test CDR-SB was observed, highlighting its promising application as a biomarker for dementia.
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Affiliation(s)
- Duilio Deangeli
- Yatiris, PLADEMA, UNICEN, Tandil, Buenos Aires, Argentina.
- CONICET, CABA, Argentina.
| | | | - Hernán Külsgaard
- Yatiris, PLADEMA, UNICEN, Tandil, Buenos Aires, Argentina
- CONICET, CABA, Argentina
| | - Delfina Braggio
- Yatiris, PLADEMA, UNICEN, Tandil, Buenos Aires, Argentina
- CONICET, CABA, Argentina
| | | | - Mariana Bendersky
- ENyS, CONICET-HEC-UNAJ, Florencio Varela, Buenos Aires, Argentina
- Normal Anatomy Department, UBA, CABA, Argentina
| | - Emmanuel Iarussi
- CONICET, CABA, Argentina
- Laboratorio de Inteligencia Artificial, Universidad Torcuato Di Tella, CABA, Argentina
| | - Ignacio Larrabide
- Yatiris, PLADEMA, UNICEN, Tandil, Buenos Aires, Argentina
- CONICET, CABA, Argentina
| | - José Ignacio Orlando
- Yatiris, PLADEMA, UNICEN, Tandil, Buenos Aires, Argentina
- CONICET, CABA, Argentina
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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.
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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
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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.
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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.
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7
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Cobb AR, Rubin M, Stote DL, Baldwin BC, Lee HJ, Hariri AR, Telch MJ. Hippocampal volume and volume asymmetry prospectively predict PTSD symptom emergence among Iraq-deployed soldiers. Psychol Med 2023; 53:1906-1913. [PMID: 34802472 PMCID: PMC10106285 DOI: 10.1017/s0033291721003548] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/04/2021] [Accepted: 08/10/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Evidence suggests a link between smaller hippocampal volume (HV) and post-traumatic stress disorder (PTSD). However, there has been little prospective research testing this question directly and it remains unclear whether smaller HV confers risk or is a consequence of traumatization and PTSD. METHODS U.S. soldiers (N = 107) completed a battery of clinical assessments, including structural magnetic resonance imaging pre-deployment. Once deployed they completed monthly assessments of traumatic-stressors and symptoms. We hypothesized that smaller HV would potentiate the effects of traumatic stressors on PTSD symptoms in theater. Analyses evaluated whether total HV, lateral (right v. left) HV, or HV asymmetry (right - left) moderated the effects of stressor-exposure during deployment on PTSD symptoms. RESULTS Findings revealed no interaction between total HV and average monthly traumatic-stressors on PTSD symptoms b = -0.028, p = 0.681 [95% confidence interval (CI) -0.167 to 0.100]. However, in the context of greater exposure to average monthly traumatic stressors, greater right HV was associated with fewer PTSD symptoms b = -0.467, p = 0.023 (95% CI -0.786 to -0.013), whereas greater left HV was unexpectedly associated with greater PTSD symptoms b = 0.435, p = 0.024 (95% CI 0.028-0.715). CONCLUSIONS Our findings highlight the importance of considering the complex role of HV, in particular HV asymmetry, in predicting the emergence of PTSD symptoms in response to war-zone trauma.
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Affiliation(s)
- Adam R. Cobb
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
- PTSD Clinical Team, Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Mikael Rubin
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Deborah L. Stote
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Brian C. Baldwin
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Han-Joo Lee
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Michael J. Telch
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
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8
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Xiao Y, Liao L, Huang K, Yao S, Gao L, for the Alzheimer’s Disease Neuroimaging Initiative. Coupling Between Hippocampal Parenchymal Fraction and Cortical Grey Matter Atrophy at Different Stages of Cognitive Decline. J Alzheimers Dis 2023; 93:791-801. [PMID: 37092228 PMCID: PMC10200204 DOI: 10.3233/jad-230124] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND Hippocampal atrophy is a significant brain marker of pathology in Alzheimer's disease (AD). The hippocampal parenchymal fraction (HPF) was recently developed to better assess the hippocampal volumetric integrity, and it has been shown to be a sensitive measure of hippocampal atrophy in AD. OBJECTIVE To investigate the clinical relevance of hippocampal volumetric integrity as measured by the HPF and the coupling between the HPF and brain atrophy during AD progression. METHODS We included data from 143 cognitively normal (CN), 101 mild cognitive impairment (MCI), and 125 AD participants. We examined group differences in the HPF, associations between HPF and cognitive ability, and coupling between the HPF and cortical grey matter volume in the CN, MCI, and AD groups. RESULTS We observed progressive decreases in HPF from CN to MCI and from MCI to AD, and increases in the asymmetry of HPF, with the lowest asymmetry index (AI) in the CN group and the highest AI in the AD group. There was a significant association between HPF and cognitive ability across participants. The coupling between HPF and cortical regions was observed in bilateral hippocampus, parahippocampal gyrus, temporal, frontal, and occipital regions, thalamus, and amygdala in CN, MCI, and AD groups, with a greater involvement of temporal, occipital, frontal, and subcortical regions in MCI and AD patients, especially in AD patients. CONCLUSION This study provides novel evidence for the neuroanatomical basis of cognitive decline and brain atrophy during AD progression, which may have important clinical implications for the prognosis of AD.
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Affiliation(s)
- Yaqiong Xiao
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Liangjun Liao
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Kaiyu Huang
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Shun Yao
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
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Ross DE, Seabaugh JD, Seabaugh JM, Alvarez C, Ellis LP, Powell C, Reese C, Cooper L, Shepherd K, Alzheimer's Disease Neuroimaging Initiative FT. Journey to the other side of the brain: asymmetry in patients with chronic mild or moderate traumatic brain injury. Concussion 2022; 8:CNC101. [PMID: 36874877 PMCID: PMC9979152 DOI: 10.2217/cnc-2022-0003] [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: 05/03/2022] [Accepted: 12/01/2022] [Indexed: 02/01/2023] Open
Abstract
Aim Patients with chronic mild or moderate traumatic brain injury have some regions of brain atrophy (including cerebral white matter) but even more regions of abnormal brain enlargement (including other cerebral regions). Hypothesis Ipsilateral injury and atrophy cause the eventual development of contralateral compensatory hypertrophy. Materials & methods 50 patients with mild or moderate traumatic brain injury were compared to 80 normal controls (n = 80) with respect to MRI brain volume asymmetry. Asymmetry-based correlations were used to test the primary hypothesis. Results The group of patients had multiple regions of abnormal asymmetry. Conclusion The correlational analyses supported the conclusion that acute injury to ipsilateral cerebral white matter regions caused atrophy, leading eventually to abnormal enlargement of contralateral regions due to compensatory hypertrophy.
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Affiliation(s)
- David E Ross
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA
| | - John D Seabaugh
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA
| | - Jan M Seabaugh
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA
| | - Claudia Alvarez
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, Randolph Macon College, Ashland, VA 23005, USA
| | - Laura Peyton Ellis
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, Randolph Macon College, Ashland, VA 23005, USA
| | - Christopher Powell
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Virginia Commonwealth University, Medical College of Virginia, Richmond, VA 23219, USA
| | - Christopher Reese
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, University of North Carolina at Wilmington, Wilmington, NC 28403, USA
| | - Leah Cooper
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA
| | - Katherine Shepherd
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, James Madison University, Harrisonburg, VA 22807, USA
| | - For The Alzheimer's Disease Neuroimaging Initiative
- Virginia Institute of Neuropsychiatry, Midlothian, VA 23114, USA.,Neuroscience Department, Randolph Macon College, Ashland, VA 23005, USA.,Virginia Commonwealth University, Medical College of Virginia, Richmond, VA 23219, USA.,Neuroscience Department, University of North Carolina at Wilmington, Wilmington, NC 28403, USA.,Neuroscience Department, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA.,Neuroscience Department, James Madison University, Harrisonburg, VA 22807, USA
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10
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Jha MK, Chin Fatt CR, Minhajuddin A, Mayes TL, Berry JD, Trivedi MH. Accelerated brain aging in individuals with diabetes: Association with poor glycemic control and increased all-cause mortality. Psychoneuroendocrinology 2022; 145:105921. [PMID: 36126385 PMCID: PMC10177664 DOI: 10.1016/j.psyneuen.2022.105921] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/26/2022] [Accepted: 09/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Diabetes has been linked to accelerated brain aging, i.e., neuroimaging-predicted age of brain is higher than chronological age. This report evaluated whether accelerated brain aging in diabetes is associated with higher levels of glycated hemoglobin (HbA1c) and increased mortality. METHODS Brain age in Dallas Heart Study (n = 1949) was estimated using T1-weighted magnetic resonance imaging (MRI) scans and a previously-published Gaussian Processes Regression model. Accelerated brain aging (adjusted Δ brain age) was computed as follows: (brain age adjusted for chronological age)-minus-(chronological age). Mortality data until 12/31/2016 were obtained from the National Death Index. Associations of adjusted Δ brain age with diabetes in full sample and with HbA1c in individuals with diabetes were evaluated. Proportion of association between diabetes and all-cause mortality that was accounted for by adjusted Δ brain age were evaluated with mediation analyses. Covariates included Framingham 10-year risk score, race/ethnicity, income, body mass index, and history of myocardial infarction. RESULTS Diabetes was associated with] higher adjusted Δ brain age [estimate= 1.79; 95% confidence interval (CI): 0.889, 2.68]. Among those with diabetes, higher HbA1c (log-base-2-transformed) was associated with higher adjusted Δ brain age (estimate=3.88; 95% CI: 1.47, 6.30). Over a median follow-up of 97.5 months, 24/246 (9.8%) with diabetes and 63/1703 (3.7%) without diabetes died. Adjusted Δ brain age accounted for 65.3 (95% CI: 39.3, 100.0)% of the association between diabetes and all-cause mortality. CONCLUSION Accelerated brain aging may be related to poor glycemic control in diabetes and partly account for the association between diabetes and all-cause mortality.
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Affiliation(s)
- Manish K Jha
- Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Cherise R Chin Fatt
- Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Abu Minhajuddin
- Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Taryn L Mayes
- Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Jarett D Berry
- Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA.
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Vega-Torres JD, Ontiveros-Angel P, Terrones E, Stuffle EC, Solak S, Tyner E, Oropeza M, dela Peña I, Obenaus A, Ford BD, Figueroa JD. Short-term exposure to an obesogenic diet during adolescence elicits anxiety-related behavior and neuroinflammation: modulatory effects of exogenous neuregulin-1. Transl Psychiatry 2022; 12:83. [PMID: 35220393 PMCID: PMC8882169 DOI: 10.1038/s41398-022-01788-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 12/27/2021] [Accepted: 01/07/2022] [Indexed: 11/21/2022] Open
Abstract
Childhood obesity leads to hippocampal atrophy and altered cognition. However, the molecular mechanisms underlying these impairments are poorly understood. The neurotrophic factor neuregulin-1 (NRG1) and its cognate ErbB4 receptor play critical roles in hippocampal maturation and function. This study aimed to determine whether exogenous NRG1 administration reduces hippocampal abnormalities and neuroinflammation in rats exposed to an obesogenic Western-like diet (WD). Lewis rats were randomly divided into four groups (12 rats/group): (1) control diet+vehicle (CDV); (2) CD + NRG1 (CDN) (daily intraperitoneal injections: 5 μg/kg/day; between postnatal day, PND 21-PND 41); (3) WD + VEH (WDV); (4) WD + NRG1 (WDN). Neurobehavioral assessments were performed at PND 43-49. Brains were harvested for MRI and molecular analyses at PND 49. We found that NRG1 administration reduced hippocampal volume (7%) and attenuated hippocampal-dependent cued fear conditioning in CD rats (56%). NRG1 administration reduced PSD-95 protein expression (30%) and selectively reduced hippocampal cytokine levels (IL-33, GM-CSF, CCL-2, IFN-γ) while significantly impacting microglia morphology (increased span ratio and reduced circularity). WD rats exhibited reduced right hippocampal volume (7%), altered microglia morphology (reduced density and increased lacunarity), and increased levels of cytokines implicated in neuroinflammation (IL-1α, TNF-α, IL-6). Notably, NRG1 synergized with the WD to increase hippocampal ErbB4 phosphorylation and the tumor necrosis alpha converting enzyme (TACE/ADAM17) protein levels. Although the results did not provide sufficient evidence to conclude that exogenous NRG1 administration is beneficial to alleviate obesity-related outcomes in adolescent rats, we identified a potential novel interaction between obesogenic diet exposure and TACE/ADAM17-NRG1-ErbB4 signaling during hippocampal maturation. Our results indicate that supraoptimal ErbB4 activities may contribute to the abnormal hippocampal structure and cognitive vulnerabilities observed in obese individuals.
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Affiliation(s)
- Julio David Vega-Torres
- grid.43582.380000 0000 9852 649XCenter for Health Disparities and Molecular Medicine and Department of Basic Sciences, Physiology Division, Department of Basic Sciences, Loma Linda University Health School of Medicine, Loma Linda, CA USA
| | - Perla Ontiveros-Angel
- grid.43582.380000 0000 9852 649XCenter for Health Disparities and Molecular Medicine and Department of Basic Sciences, Physiology Division, Department of Basic Sciences, Loma Linda University Health School of Medicine, Loma Linda, CA USA
| | - Esmeralda Terrones
- grid.43582.380000 0000 9852 649XCenter for Health Disparities and Molecular Medicine and Department of Basic Sciences, Physiology Division, Department of Basic Sciences, Loma Linda University Health School of Medicine, Loma Linda, CA USA
| | - Erwin C. Stuffle
- grid.43582.380000 0000 9852 649XCenter for Health Disparities and Molecular Medicine and Department of Basic Sciences, Physiology Division, Department of Basic Sciences, Loma Linda University Health School of Medicine, Loma Linda, CA USA
| | - Sara Solak
- grid.43582.380000 0000 9852 649XDepartment of Pharmaceutical and Administrative Sciences, Loma Linda University Health School of Pharmacy, Loma Linda, CA USA
| | - Emma Tyner
- grid.43582.380000 0000 9852 649XDepartment of Pharmaceutical and Administrative Sciences, Loma Linda University Health School of Pharmacy, Loma Linda, CA USA
| | - Marie Oropeza
- grid.43582.380000 0000 9852 649XDepartment of Pharmaceutical and Administrative Sciences, Loma Linda University Health School of Pharmacy, Loma Linda, CA USA
| | - Ike dela Peña
- grid.43582.380000 0000 9852 649XDepartment of Pharmaceutical and Administrative Sciences, Loma Linda University Health School of Pharmacy, Loma Linda, CA USA
| | - Andre Obenaus
- grid.266093.80000 0001 0668 7243Department of Pediatrics, University of California-Irvine, Irvine, CA USA
| | - Byron D. Ford
- grid.266097.c0000 0001 2222 1582Division of Biomedical Sciences, University of California-Riverside School of Medicine, Riverside, CA USA
| | - Johnny D. Figueroa
- grid.43582.380000 0000 9852 649XCenter for Health Disparities and Molecular Medicine and Department of Basic Sciences, Physiology Division, Department of Basic Sciences, Loma Linda University Health School of Medicine, Loma Linda, CA USA
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12
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Wei X, Shi G, Tu J, Zhou H, Duan Y, Lee CK, Wang X, Liu C. Structural and Functional Asymmetry in Precentral and Postcentral Gyrus in Patients With Unilateral Chronic Shoulder Pain. Front Neurol 2022; 13:792695. [PMID: 35250808 PMCID: PMC8892006 DOI: 10.3389/fneur.2022.792695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/13/2022] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE The purpose of this study was to explore the structural and functional asymmetry of precentral and postcentral gyrus in patients with unilateral chronic shoulder pain (CSP) utilizing MRI. PATIENTS AND METHODS We collected structural and resting-state functional MRI (rs-fMRI) data in 22 left-sided, 15 patients with right-sided CSP, and 24 healthy controls (HCs). Here, we performed the structural asymmetry and seed-based functional connectivity (FC) analyses. We extracted regional cortical thickness and surface area measurements from T1-weighted MRI images, using asymmetry indexes (AIs) to assess asymmetries. We used Data Processing and Analysis for Brain Imaging software for seed-based FC analysis and selected unilateral-precentral and postcentral as the regions of interest. Then, we performed group comparisons of the neuroimaging metrics, and also explored the relationships between brain asymmetry and clinical variables. RESULTS We found significant differences in surface area AIs of the precentral among three groups, the AI values were negatively correlated with the visual analog scale score and positively correlated with Constant-Murley scores (CMS) in the left-sided CSP group. Further, FC of left postcentral with cingulate gyrus and left paracentral lobule showed significant group differences; FC of right postcentral with left caudate, left paracentral, and left postcentral were different among groups; FC of right precentral with the cingulate gyrus, precuneus, and left paracentral revealed significant group differences. Besides, there was a positive correlation between right precentral-cingulate gyrus FC and CMS in the right-sided CSP group. CONCLUSION Surface area and FC patterns asymmetry exist in precentral and postcentral gyrus in patients with unilateral CSP. Asymmetry trend is associated with pain severity and shoulder joint function impairment. Brain structural and functional asymmetry may be an important indicator for understanding the potential mechanism of chronic pain.
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Affiliation(s)
- Xiaoya Wei
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Guangxia Shi
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Jianfeng Tu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Hang Zhou
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Yanshan Duan
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Chin Kai Lee
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Xu Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Cunzhi Liu
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
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13
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Ibrahim HM, Kulikova A, Ly H, Rush AJ, Sherwood Brown E. Anterior cingulate cortex in individuals with depressive symptoms: A structural MRI study. Psychiatry Res Neuroimaging 2022; 319:111420. [PMID: 34856454 PMCID: PMC8724389 DOI: 10.1016/j.pscychresns.2021.111420] [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: 01/26/2021] [Revised: 11/24/2021] [Accepted: 11/25/2021] [Indexed: 01/03/2023]
Abstract
Several magnetic resonance imaging (MRI) studies have reported reduction in anterior cingulate cortex (ACC) volume in individuals with major depressive disorder (MDD). However, some MRI studies did not find significant ACC volumetric changes in MDD, and sample sizes were generally small. This cross-sectional structural MRI study examined the relationship between current depressive symptoms and ACC volume in a large community sample of 1803 adults. A series of multiple linear regression analyses were conducted to predict right and left ACC volumes using Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores, intracranial volume, age, sex, race/ethnicity, alcohol use, tobacco use, and psychotropic medications as predictor variables. Right ACC volume was significantly negatively associated with QIDS-SR scores, while no significant association was found between left ACC volume and QIDS-SR scores. In addition, there was a significant negative association between QIDS-SR scores and right but not left ACC volumes in males, and no significant association between QIDS-SR scores and right or left ACC volumes in females. These findings suggest that right ACC volume is reduced in people with greater self-reported depressive symptom severity, and that this association is only significant in men.
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Affiliation(s)
- Hicham M Ibrahim
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alexandra Kulikova
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Huy Ly
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - A John Rush
- Curbstone Consultant, LLC, Santa Fe, NM, USA
| | - E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
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14
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Fraser MA, Walsh EI, Shaw ME, Anstey KJ, Cherbuin N. Longitudinal Effects of Physical Activity Change on Hippocampal Volumes over up to 12 Years in Middle and Older Age Community-Dwelling Individuals. Cereb Cortex 2021; 32:2705-2716. [PMID: 34671805 DOI: 10.1093/cercor/bhab375] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/11/2021] [Accepted: 09/12/2021] [Indexed: 12/17/2022] Open
Abstract
The objectives of this study were to investigate the long-term associations between changes in physical activity levels and hippocampal volumes over time, while considering the influence of age, sex, and APOE-ε4 genotype. We investigated the effects of change in physical activity on hippocampal volumes in 411 middle age (mean age = 47.2 years) and 375 older age (mean age = 63.1 years) adults followed up to 12 years. An annual volume decrease was observed in the left (middle age: 0.46%; older age: 0.51%) but not in the right hippocampus. Each additional 10 metabolic equivalents (METs, ~2 h of moderate exercise) increase in weekly physical activity was associated with 0.33% larger hippocampal volume in middle age (equivalent to ~1 year of typical aging). In older age, each additional MET was associated with 0.05% larger hippocampal volume; however, the effects declined with time by 0.005% per year. For older age APOE-ε4 carriers, each additional MET was associated with a 0.10% increase in hippocampal volume. No sex effects of physical activity change were found. Increasing physical activity has long-term positive effects on hippocampal volumes and appears especially beneficial for older APOE-ε4 carriers. To optimize healthy brain aging, physical activity programs should focus on creating long-term exercise habits.
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Affiliation(s)
- Mark A Fraser
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Erin I Walsh
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 2601, Australia.,Population Health Exchange, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 2601, Australia
| | - Marnie E Shaw
- ANU College of Engineering & Computer Science, Australian National University, Canberra, Australian Capital Territory 2600, Australia
| | - Kaarin J Anstey
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 2601, Australia.,Ageing Futures Institute, University of New South Wales, Sydney, New South Wales 2052, Australia.,Neuroscience Research Australia, Sydney, New South Wales 2031, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 2601, Australia
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15
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Poloni KM, Duarte de Oliveira IA, Tam R, Ferrari RJ. Brain MR image classification for Alzheimer’s disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.07.102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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16
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Zeng Q, Li K, Luo X, Wang S, Xu X, Li Z, Zhang T, Liu X, Fu Y, Xu X, Wang C, Wang T, Zhou J, Liu Z, Chen Y, Huang P, Zhang M. Distinct Atrophy Pattern of Hippocampal Subfields in Patients with Progressive and Stable Mild Cognitive Impairment: A Longitudinal MRI Study. J Alzheimers Dis 2021; 79:237-247. [PMID: 33252076 DOI: 10.3233/jad-200775] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND Predicting the prognosis of mild cognitive impairment (MCI) has outstanding clinical value, and the hippocampal volume is a reliable imaging biomarker of AD diagnosis. OBJECTIVE We aimed to longitudinally assess hippocampal sub-regional difference (volume and asymmetry) among progressive MCI (pMCI), stable MCI (sMCI) patients, and normal elderly. METHODS We identified 29 pMCI, 52 sMCI, and 102 normal controls (NC) from the ADNI database. All participants underwent neuropsychological assessment and 3T MRI scans three times. The time interval between consecutive MRI sessions was about 1 year. Volumes of hippocampal subfield were measured by Freesurfer. Based on the analysis of variance, repeated measures analyses, and receiver operating characteristic curves, we compared cross-sectional and longitudinal alteration sub-regional volume and asymmetry index. RESULTS Compared to NC, both MCI groups showed significant atrophy in all subfields. At baseline, pMCI have a smaller volume than sMCI in the bilateral subiculum, molecular layer (ML), the molecular and granule cell layers of the dentate gyrus, cornu ammonis 4, and right tail. Furthermore, repeated measures analyses revealed that pMCI patients showed a faster volume loss than sMCI in bilateral subiculum and ML. After controlling for age, gender, and education, most results remained unchanged. However, none of the hippocampal sub-regional volumes performed better than the whole hippocampus in ROC analyses, and no asymmetric difference between pMCI and sMCI was found. CONCLUSION The faster volume loss in subiculum and ML suggest a higher risk of disease progression in MCI patients. The hippocampal asymmetry may have smaller value in predicting the MCI prognosis.
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Affiliation(s)
- Qingze Zeng
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Kaicheng Li
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiao Luo
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Shuyue Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaopei Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Zheyu Li
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Tianyi Zhang
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaocao Liu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Yanv Fu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Xiaojun Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Chao Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Tao Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Zhirong Liu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Yanxing Chen
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Peiyu Huang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
| | - Minming Zhang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, China
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17
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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: 0.2] [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.
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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.
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18
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Ardekani BA, Izadi NO, Hadid SA, Meftah AM, Bachman AH. Effects of sex, age, and apolipoprotein E genotype on hippocampal parenchymal fraction in cognitively normal older adults. Psychiatry Res Neuroimaging 2020; 301:111107. [PMID: 32416384 DOI: 10.1016/j.pscychresns.2020.111107] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/24/2020] [Accepted: 04/15/2020] [Indexed: 10/24/2022]
Abstract
Early detection of Alzheimer's disease (AD) is important for timely interventions and developing new treatments. Hippocampus atrophy is an early biomarker of AD. The hippocampal parenchymal fraction (HPF) is a promising measure of hippocampal structural integrity computed from structural MRI. It is important to characterize the dependence of HPF on covariates such as age and sex in the normal population to enhance its utility as a disease biomarker. We measured the HPF in 4239 structural MRI scans from 340 cognitively normal (CN) subjects aged 59-89 years from the AD Neuroimaging Initiative database, and studied its dependence on age, sex, apolipoprotein E (APOE) genotype, brain hemisphere, intracranial volume (ICV), and education using a linear mixed-effects model. In this CN cohort, HPF was inversely associated with ICV; was greater on the right hemisphere compared to left in both sexes with the degree of right > left asymmetry being slightly more pronounced in men; declined quadratically with age and faster in APOE ϵ4 carriers compared to non-carriers; and was significantly associated with cognitive ability. Consideration of HPF as an AD biomarker should be in conjunction with other subject attributes that are shown in this research to influence HPF levels in CN older individuals.
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Affiliation(s)
- Babak A Ardekani
- Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, New York University School of Medicine, New York, NY, USA.
| | - Neema O Izadi
- Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Somar A Hadid
- Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Amir M Meftah
- Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Alvin H Bachman
- Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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19
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Miskowiak KW, Forman JL, Vinberg M, Siebner HR, Kessing LV, Macoveanu J. Impact of pretreatment interhemispheric hippocampal asymmetry on improvement in verbal learning following erythropoietin treatment in mood disorders: a randomized controlled trial. J Psychiatry Neurosci 2020; 45:198-205. [PMID: 31804779 PMCID: PMC7828975 DOI: 10.1503/jpn.180205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Treatment development that targets cognitive impairment is hampered by a lack of biomarkers that can predict treatment efficacy. Erythropoietin (EPO) improves verbal learning and memory in mood disorders, and this scales with an increase in left hippocampal volume. This study investigated whether pretreatment left hippocampal volume, interhemisphere hippocampal asymmetry or both influenced EPO treatment response with respect to verbal learning. METHODS Data were available for 76 of 83 patients with mood disorders from our previous EPO trials (EPO = 37 patients; placebo = 39 patients). We performed cortical reconstruction and volumetric segmentation using FreeSurfer. We conducted multiple linear regression and logistic regression to assess the influence of left hippocampal volume and hippocampal asymmetry on EPO-related memory improvement, as reflected by change in Rey Auditory Verbal Learning Test total recall from baseline to post-treatment. We set up a corresponding exploratory general linear model in FreeSurfer to assess the influence of prefrontal cortex volume on verbal learning improvement, controlling for age, sex and total intracranial volume. RESULTS At baseline, more rightward (left < right) hippocampal asymmetry — but not left hippocampal volume per se — was associated with greater effects of EPO versus placebo on verbal learning (p ≤ 0.05). Exploratory analysis indicated that a larger left precentral gyrus surface area was also associated with improvement of verbal learning in the EPO group compared to the placebo group (p = 0.002). LIMITATIONS This was a secondary analysis of our original EPO trials. CONCLUSION Rightward hippocampal asymmetry may convey a positive effect of EPO treatment efficacy on verbal learning. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov NCT00916552
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Affiliation(s)
- Kamilla W. Miskowiak
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
| | - Julie L. Forman
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
| | - Maj Vinberg
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
| | - Hartwig R. Siebner
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
| | - Lars V. Kessing
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
| | - Julian Macoveanu
- From the Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Miskowiak, Macoveanu); the Department of Psychology, University of Copenhagen (Miskowiak); the Section of Biostatistics, Department of Public Health, University of Copenhagen (Forman); the Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen (Siebner); the Department of Neurology, Copenhagen University Hospital Bispebjerg (Siebner); the Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen (Vinberg, Siebner); and the Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital (Kessing), Copenhagen, Denmark
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Medial temporal lobe atrophy and posterior atrophy scales normative values. NEUROIMAGE-CLINICAL 2019; 24:101936. [PMID: 31382240 PMCID: PMC6690662 DOI: 10.1016/j.nicl.2019.101936] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 07/09/2019] [Accepted: 07/14/2019] [Indexed: 11/21/2022]
Abstract
OBJECTIVES The medial temporal lobe atrophy (MTA) and the posterior atrophy (PA) scales allow to assess the degree hippocampal and parietal atrophy from magnetic resonance imaging (MRI) scans. Despite reliable, easy and widespread employment, appropriate normative values are still missing. We aim to provide norms for the Italian population. METHODS Two independent raters assigned the highest MTA and PA score between hemispheres, based on 3D T1-weighted MRI of 936 Italian Brain Normative Archive subjects (age: mean ± SD: 50.2 ± 14.7, range: 20-84; MMSE>26 or CDR = 0). The inter-rater agreement was assessed with the absolute intraclass correlation coefficient (aICC). We assessed the association between MTA and PA scores and sociodemographic features and APOE status, and normative data were established by age decade based on percentile distributions. RESULTS Raters agreed in 90% of cases for MTA (aICC = 0.86; 95% CI = 0.69-0.98) and in 86% for PA (aICC = 0.82; 95% CI = 0.58-0.98). For both rating scales, score distribution was skewed, with MTA = 0 in 38% of the population and PA = 0 in 52%, while a score ≥ 2 was only observed in 12% for MTA and in 10% for PA. Median denoted overall hippocampal (MTA: median = 1, IQR = 0-1) and parietal (PA: median = 0, IQR = 0-1) integrity. The 90th percentile of the age-specific distributions increased from 1 (at age 20-59) for both scales, to 2 for PA over age 60, and up to 4 for MTA over age 80. Gender, education and APOE status did not significantly affect the percentile distributions in the whole sample, nor in the subset over age 60. CONCLUSIONS Our normative data for the MTA and PA scales are consistent with previous studies and overcome their main limitations (in particular uneven representation of ages and missing percentile distributions), defining the age-specific norms to be considered for proper brain atrophy assessment.
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Parsons MS, Sharma A, Hildebolt C. Using Correlative Properties of Neighboring Pixels to Enhance Contrast-to-Noise Ratio of Abnormal Hippocampus in Patients With Intractable Epilepsy and Mesial Temporal Sclerosis. Acad Radiol 2019; 26:e1-e8. [PMID: 29907398 DOI: 10.1016/j.acra.2018.05.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 04/30/2018] [Accepted: 05/10/2018] [Indexed: 10/14/2022]
Abstract
RATIONALE AND OBJECTIVES To test whether an image-processing algorithm can aid in visualization of mesial temporal sclerosis on magnetic resonance imaging by selectively increasing contrast-to-noise ratio (CNR) between abnormal hippocampus and normal brain. MATERIALS AND METHODS In this Institutional Review Board-approved and Health Insurance Portability and Accountability Act-compliant study, baseline coronal fluid-attenuated inversion recovery images of 18 adults (10 females, eight males; mean age 41.2 years) with proven mesial temporal sclerosis were processed using a custom algorithm to produce corresponding enhanced images. Average (Hmean) and maximum (Hmax) CNR for abnormal hippocampus were calculated relative to normal ipsilateral white matter. CNR values for normal gray matter (GM) were similarly calculated using ipsilateral cingulate gyrus as the internal control. To evaluate effect of image processing on visual conspicuity of hippocampal signal alteration, a neuroradiologist masked to the side of hippocampal abnormality rated signal intensity (SI) of hippocampi on baseline and enhanced images using a five-point scale (definitely abnormal to definitely normal). Differences in Hmean, Hmax, GM, and SI ratings for abnormal hippocampi on baseline and enhanced images were assessed for statistical significance. RESULTS Both Hmean and Hmax were significantly higher in enhanced images as compared to baseline images (p < 0.0001 for both). There was no significant difference in the GM between baseline and enhanced images (p = 0.9375). SI ratings showed a more confident identification of abnormality on enhanced images (p = 0.0001). CONCLUSION Image-processing resulted in increased CNR of abnormal hippocampus without affecting the CNR of normal gray matter. This selective increase in conspicuity of abnormal hippocampus was associated with more confident identification of hippocampal signal alteration.
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Ardekani BA, Hadid SA, Blessing E, Bachman AH. Sexual Dimorphism and Hemispheric Asymmetry of Hippocampal Volumetric Integrity in Normal Aging and Alzheimer Disease. AJNR Am J Neuroradiol 2019; 40:276-282. [PMID: 30655257 DOI: 10.3174/ajnr.a5943] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 12/09/2018] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE Asymmetric atrophy of the hippocampus is an important clinical finding in normal aging and Alzheimer disease. In this study, we investigate the associations between the magnitude and asymmetry of hippocampal volumetric integrity and age, sex, and dementia severity. MATERIALS AND METHODS We have recently developed a rapid fully automatic algorithm to measure the hippocampal parenchymal fraction, an index of hippocampal volumetric integrity on structural MR imaging of the brain. We applied this algorithm to measure the hippocampal parenchymal fraction bilaterally on 775 MR imaging volumes scanned from 198 volunteers in a publicly available data base. All subjects were right-handed and older than 60 years of age. Subjects were categorized as cognitively healthy (n = 98), with mild cognitive impairment (n = 70), or with mild/moderate Alzheimer disease (n = 30). We used linear mixed-effects models to analyze the hippocampal parenchymal fraction and its asymmetry with respect to age, sex, dementia severity, and intracranial volume. RESULTS After controlling for age, sex, and intracranial volume, we found that the magnitude of the hippocampal parenchymal fraction decreased and its asymmetry increased significantly with dementia severity. Also, hippocampal parenchymal fraction asymmetry was significantly higher in men after controlling for all other variables, but there was no sex effect on hippocampal parenchymal fraction magnitude. The magnitude of the hippocampal parenchymal fraction decreased and its asymmetry increased significantly with age in subjects who were cognitively healthy, but associations with age were different in nature in the mild cognitive impairment and Alzheimer disease groups. CONCLUSIONS Hippocampal atrophy progresses asymmetrically with age in cognitively healthy subjects. Hippocampal parenchymal fraction asymmetry is significantly higher in men than women and in mild cognitive impairment/Alzheimer disease relative to cognitively healthy individuals.
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Affiliation(s)
- B A Ardekani
- From Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research (B.A.A., S.A.H., A.H.B.), Orangeburg, New York
- Department of Psychiatry (B.A.A., E.B.), New York University School of Medicine, New York, New York
| | - S A Hadid
- From Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research (B.A.A., S.A.H., A.H.B.), Orangeburg, New York
| | - E Blessing
- Department of Psychiatry (B.A.A., E.B.), New York University School of Medicine, New York, New York
| | - A H Bachman
- From Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research (B.A.A., S.A.H., A.H.B.), Orangeburg, New York
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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: 9] [Impact Index Per Article: 1.5] [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.
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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.
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A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants. NEUROIMAGE-CLINICAL 2018; 21:101581. [PMID: 30606656 PMCID: PMC6411582 DOI: 10.1016/j.nicl.2018.10.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/25/2018] [Accepted: 10/19/2018] [Indexed: 11/21/2022]
Abstract
Manual quantification of the hippocampal atrophy state and rate is time consuming and prone to poor reproducibility, even when performed by neuroanatomical experts. The automation of hippocampal segmentation has been investigated in normal aging, epilepsy, and in Alzheimer's disease. Our first goal was to compare manual and automated hippocampal segmentation in ischemic stroke and to, secondly, study the impact of stroke lesion presence on hippocampal volume estimation. We used eight automated methods to segment T1-weighted MR images from 105 ischemic stroke patients and 39 age-matched controls sampled from the Cognition And Neocortical Volume After Stroke (CANVAS) study. The methods were: AdaBoost, Atlas-based Hippocampal Segmentation (ABHS) from the IDeALab, Computational Anatomy Toolbox (CAT) using 3 atlas variants (Hammers, LPBA40 and Neuromorphometics), FIRST, FreeSurfer v5.3, and FreeSurfer v6.0-Subfields. A number of these methods were employed to re-segment the T1 images for the stroke group after the stroke lesions were masked (i.e., removed). The automated methods were assessed on eight measures: process yield (i.e. segmentation success rate), correlation (Pearson's R and Shrout's ICC), concordance (Lin's RC and Kandall's W), slope 'a' of best-fit line from correlation plots, percentage of outliers from Bland-Altman plots, and significance of control-stroke difference. We eliminated the redundant measures after analysing between-measure correlations using Spearman's rank correlation. We ranked the automated methods based on the sum of the remaining non-redundant measures where each measure ranged between 0 and 1. Subfields attained an overall score of 96.3%, followed by AdaBoost (95.0%) and FIRST (94.7%). CAT using the LPBA40 atlas inflated hippocampal volumes the most, while the Hammers atlas returned the smallest volumes overall. FIRST (p = 0.014), FreeSurfer v5.3 (p = 0.007), manual tracing (p = 0.049), and CAT using the Neuromorphometics atlas (p = 0.017) all showed a significantly reduced hippocampal volume mean for the stroke group compared to control at three months. Moreover, masking of the stroke lesions prior to segmentation resulted in hippocampal volumes which agreed less with manual tracing. These findings recommend an automated segmentation without lesion masking as a more reliable procedure for the estimation of hippocampal volume in ischemic stroke.
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Orlowski HLP, Smyth MD, Parsons MS, Dahiya S, Sharifai N, Hildebolt C, Sharma A. Enhancing contrast to noise ratio of hippocampi affected with mesial temporal sclerosis: A case-control study in children undergoing epilepsy surgeries. Clin Neurol Neurosurg 2018; 174:144-148. [PMID: 30241008 DOI: 10.1016/j.clineuro.2018.09.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 08/27/2018] [Accepted: 09/03/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Detection of mesial temporal sclerosis (MTS) in children with epilepsy is important. We assessed whether an image-processing algorithm (Correlative Image Enhancement, CIE) could facilitate recognition of hippocampal signal abnormality in the presence of MTS by increasing contrast to noise ratio between affected hippocampus and normal gray matter. PATIENTS AND METHODS Baseline coronal FLAIR images from brain MRIs of 27 children with epilepsy who underwent hippocampal resection were processed using CIE. These included 19 hippocampi with biopsy proven MTS and 8 biopsy proven normal hippocampi resected in conjunction with hemispherotomy. We assessed the effect of processing on contrast to noise ratio (CNR) between hippocampus and normal insular gray matter, and on assessment of hippocampal signal abnormality by two masked neuroradiologists. RESULTS Processing resulted in a significant increase in mean CNR (from 3.9 ± 5.3 to 25.3 ± 25.8; P < 0.01) for hippocampi with MTS, with a substantial (>100%) increase from baseline seen in 15/19 (78.9%) cases. Baseline CNR of 1.7 ± 5.3 for normal hippocampi did not change significantly after processing (1.8 ± 5.3; P = 1.00). For one reader, baseline sensitivity (14/19; 73.6%) was unaffected but the specificity improved from 62.5% (5/8) to 100%. An increase in both sensitivity (from 73.6% to 78.9%) and specificity (from 62.5% to 75%) was seen for the second reader. CONCLUSION By enhancing CNR for diseased hippocampi while leaving normal hippocampi relatively unaffected, CIE may improve the diagnostic accuracies of radiologists in detecting MTS-related signal alteration within the affected hippocampus.
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Affiliation(s)
- Hilary L P Orlowski
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Boulevard, St. Louis, MO 63110, United States.
| | - Matthew D Smyth
- Department of Neurological Surgery, Washington University School of Medicine, 660 South Euclid, Box 8057, St. Louis, MO 63110, United States.
| | - Matthew S Parsons
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Boulevard, St. Louis, MO 63110, United States.
| | - Sonika Dahiya
- Department of Pathology & Immunology, Washington University School of Medicine, 509 S. Euclid Ave, St. Louis, MO 63110, United States.
| | - Nima Sharifai
- Department of Pathology & Immunology, Washington University School of Medicine, 509 S. Euclid Ave, St. Louis, MO 63110, United States.
| | - Charles Hildebolt
- Division of Biostatistics, Washington University School of Medicine, 660 S. Euclid Ave. St. Louis, MO 63110, United States.
| | - Aseem Sharma
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Boulevard, St. Louis, MO 63110, United States.
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Sarica A, Vasta R, Novellino F, Vaccaro MG, Cerasa A, Quattrone A, The Alzheimer's Disease Neuroimaging Initiative. MRI Asymmetry Index of Hippocampal Subfields Increases Through the Continuum From the Mild Cognitive Impairment to the Alzheimer's Disease. Front Neurosci 2018; 12:576. [PMID: 30186103 PMCID: PMC6111896 DOI: 10.3389/fnins.2018.00576] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/30/2018] [Indexed: 12/14/2022] Open
Abstract
Objective: It is well-known that the hippocampus presents significant asymmetry in Alzheimer's disease (AD) and that difference in volumes between left and right exists and varies with disease progression. However, few works investigated whether the asymmetry degree of subfields of hippocampus changes through the continuum from Mild Cognitive Impairment (MCI) to AD. Thus, aim of the present work was to evaluate the Asymmetry Index (AI) of hippocampal substructures as possible MRI biomarkers of Dementia. Moreover, we aimed to assess whether the subfields presented peculiar differences between left and right hemispheres. We also investigated the relationship between the asymmetry magnitude in hippocampal subfields and the decline of verbal memory as assessed by Rey's auditory verbal learning test (RAVLT). Methods: Four-hundred subjects were selected from ADNI, equally divided into healthy controls (HC), AD, stable MCI (sMCI), and progressive MCI (pMCI). The structural baseline T1s were processed with FreeSurfer 6.0 and volumes of whole hippocampus (WH) and 12 subfields were extracted. The AI was calculated as: (|Left-Right|/(Left+Right))*100. ANCOVA was used for evaluating AI differences between diagnoses, while paired t-test was applied for assessing changes between left and right volumes, separately for each group. Partial correlation was performed for exploring relationship between RAVLT summary scores (Immediate, Learning, Forgetting, Percent Forgetting) and hippocampal substructures AI. The statistical threshold was Bonferroni corrected p < 0.05/13 = 0.0038. Results: We found a general trend of increased degree of asymmetry with increasing severity of diagnosis. Indeed, AD presented the higher magnitude of asymmetry compared with HC, sMCI and pMCI, in the WH (AI mean 5.13 ± 4.29 SD) and in each of its twelve subfields. Moreover, we found in AD a significant negative correlation (r = -0.33, p = 0.00065) between the AI of parasubiculum (mean 12.70 ± 9.59 SD) and the RAVLT Learning score (mean 1.70 ± 1.62 SD). Conclusions: Our findings showed that hippocampal subfields AI varies differently among the four groups HC, sMCI, pMCI, and AD. Moreover, we found-for the first time-that hippocampal substructures had different sub-patterns of lateralization compared with the whole hippocampus. Importantly, the severity in learning rate was correlated with pathological high degree of asymmetry in parasubiculum of AD patients.
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Affiliation(s)
- Alessia Sarica
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
| | - Roberta Vasta
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
| | - Fabiana Novellino
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
| | | | - Antonio Cerasa
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
- S. Anna Institute and Research in Advanced Neurorehabilitation, Crotone, Italy
| | - Aldo Quattrone
- Neuroscience Centre, Magna Graecia University, Catanzaro, Italy
- Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
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Medial temporal lobe atrophy ratings in a large 75-year-old population-based cohort: gender-corrected and education-corrected normative data. Eur Radiol 2017; 28:1739-1747. [PMID: 29124383 PMCID: PMC5834557 DOI: 10.1007/s00330-017-5103-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 08/24/2017] [Accepted: 09/27/2017] [Indexed: 12/21/2022]
Abstract
Objectives To find cut-off values for different medial temporal lobe atrophy (MTA) measures (right, left, average, and highest), accounting for gender and education, investigate the association with cognitive performance, and to compare with decline of cognitive function over 5 years in a large population-based cohort. Methods Three hundred and ninety 75-year-old individuals were examined with magnetic resonance imaging of the brain and cognitive testing. The Scheltens’s scale was used to assess visually MTA scores (0–4) in all subjects. Cognitive tests were repeated in 278 of them after 5 years. Normal MTA cut-off values were calculated based on the 10th percentile. Results Most 75-year-old individuals had MTA score ≤2. Men had significantly higher MTA scores than women. Scores for left and average MTA were significantly higher in highly educated individuals. Abnormal MTA was associated with worse results in cognitive test and individuals with abnormal right MTA had faster cognitive decline. Conclusion At age 75, gender and education are confounders for MTA grading. A score of ≥2 is abnormal for low-educated women and a score of ≥2.5 is abnormal for men and high-educated women. Subjects with abnormal right MTA, but normal MMSE scores had developed worse MMSE scores 5 years later. Key Points • Gender and education are confounders for MTA grading. • We suggest cut-off values for 75-year-olds, taking gender and education into account. • Males have higher MTA scores than women. • Higher MTA scores are associated with worse cognitive performance.
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The hippocampus: detailed assessment of normative two-dimensional measurements, signal intensity, and subfield conspicuity on routine 3T T2-weighted sequences. Surg Radiol Anat 2017; 39:1149-1159. [DOI: 10.1007/s00276-017-1843-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 02/28/2017] [Indexed: 10/20/2022]
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Monterrey JC, Philips J, Cleveland S, Tanaka S, Barnes P, Hallmayer JF, Reiss AL, Lazzeroni LC, Hardan AY. Incidental brain MRI findings in an autism twin study. Autism Res 2017; 10:113-120. [PMID: 27874265 DOI: 10.1002/aur.1720] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 09/09/2016] [Accepted: 09/23/2016] [Indexed: 12/13/2022]
Abstract
Brain magnetic resonance imaging (MRI) studies suggest the prevalence of asymptomatic "incidental" findings (IF) in autism spectrum disorder (ASD) is similar to that of neurotypically developing (NT) controls. However, given the causes of IF may include both genetic and environmental factors, a twin study would facilitate comparing brain IF between ASD and NT subjects. MRI scans were examined to assess the prevalence of brain IF in twin "case pairs" (at least one twin with diagnosis of ASD) and twin "control pairs" (NT). Fifty case pairs and thirty-two control pairs were analyzed. IF were found in 68% of subjects with ASD, 71% of unaffected ASD siblings, and in 58% of control subjects (P = 0.4). IF requiring clinical follow-up occurred more frequently in subjects with ASD compared to NT controls (17% vs. 5%, respectively; P = 0.02). The concordance rate of IF in twins was 83%. A mixed effects model found younger age, male sex, and "family environment" to be significantly associated with IF. There was no difference in the prevalence rate of IF between ASD subjects and NT controls. More IF required clinical follow-up in ASD subjects compared to NT controls. The prevalence rate of IF observed in this twin study was higher than rates previously reported in singleton studies. Our results suggest the shared environment of twins - perhaps in utero - increases the risk of brain IF. Brain MRI in the initial work-up of ASD may be indicated in twins, especially in males. Autism Res 2017, 10: 113-120. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Julio C Monterrey
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Jennifer Philips
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Sue Cleveland
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Serena Tanaka
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Patrick Barnes
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Joachim F Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Alan L Reiss
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Laura C Lazzeroni
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Antonio Y Hardan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
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Sankar A, Zhang T, Gaonkar B, Doshi J, Erus G, Costafreda SG, Marangell L, Davatzikos C, Fu CHY. Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample. BJPsych Open 2016; 2:247-254. [PMID: 27703783 PMCID: PMC4995169 DOI: 10.1192/bjpo.bp.115.002493] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 05/04/2016] [Accepted: 05/16/2016] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND At present, we do not have any biological tests which can contribute towards a diagnosis of depression. Neuroimaging measures have shown some potential as biomarkers for diagnosis. However, participants have generally been from the same ethnic background while the applicability of a biomarker would require replication in individuals of diverse ethnicities. AIMS We sought to examine the diagnostic potential of the structural neuroanatomy of depression in a sample of a wide ethnic diversity. METHOD Structural magnetic resonance imaging (MRI) scans were obtained from 23 patients with major depressive disorder in an acute depressive episode (mean age: 39.8 years) and 20 matched healthy volunteers (mean age: 38.8 years). Participants were of Asian, African and Caucasian ethnicity recruited from the general community. RESULTS Structural neuroanatomy combining white and grey matter distinguished patients from controls at the highest accuracy of 81% with the most stable pattern being at around 70%. A widespread network encompassing frontal, parietal, occipital and cerebellar regions contributed towards diagnostic classification. CONCLUSIONS These findings provide an important step in the development of potential neuroimaging-based tools for diagnosis as they demonstrate that the identification of depression is feasible within a multi-ethnic group from the community. DECLARATION OF INTERESTS C.H.Y.F. has held recent research grants from Eli Lilly and Company and GlaxoSmithKline. L.M. is a former employee and stockholder of Eli Lilly and Company. COPYRIGHT AND USAGE © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.
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Affiliation(s)
- Anjali Sankar
- PhD, Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tianhao Zhang
- PhD, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Pennsylvania, USA
| | - Bilwaj Gaonkar
- MS, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Pennsylvania, USA
| | - Jimit Doshi
- MS, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Pennsylvania, USA
| | - Guray Erus
- PhD, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Pennsylvania, USA
| | - Sergi G Costafreda
- MD, Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Lauren Marangell
- MD, Department of Psychiatry, University of Texas Health Science Center, Houston, Texas, USA
| | - Christos Davatzikos
- PhD, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Pennsylvania, USA
| | - Cynthia H Y Fu
- MD, School of Psychology, University of East London, London, UK
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31
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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: 29] [Impact Index Per Article: 3.2] [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.
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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
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Thulborn KR, Lui E, Guntin J, Jamil S, Sun Z, Claiborne T, Atkinson IC. Quantitative sodium MRI of the human brain at 9.4 T provides assessment of tissue sodium concentration and cell volume fraction during normal aging. NMR IN BIOMEDICINE 2016; 29:137-43. [PMID: 26058461 PMCID: PMC4674376 DOI: 10.1002/nbm.3312] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2014] [Revised: 03/26/2015] [Accepted: 03/29/2015] [Indexed: 05/11/2023]
Abstract
Sodium ion homeostasis is a fundamental property of viable tissue, allowing the tissue sodium concentration to be modeled as the tissue cell volume fraction. The modern neuropathology literature using ex vivo tissue from selected brain regions indicates that human brain cell density remains constant during normal aging and attributes the volume loss that occurs with advancing age to changes in neuronal size and dendritic arborization. Quantitative sodium MRI performed with the enhanced sensitivity of ultrahigh-field 9.4 T has been used to investigate tissue cell volume fraction during normal aging. This cross-sectional study (n = 49; 21-80 years) finds that the in vivo tissue cell volume fraction remains constant in all regions of the brain with advancing age in individuals who remain cognitively normal, extending the ex vivo literature reporting constant neuronal cell density across the normal adult age range. Cell volume fraction, as measured by quantitative sodium MRI, is decreased in diseases of cell loss, such as stroke, on a time scale of minutes to hours, and in response to treatment of brain tumors on a time scale of days to weeks. Neurodegenerative diseases often have prodromal periods of decades in which regional neuronal cell loss occurs prior to clinical presentation. If tissue cell volume fraction can detect such early pathology, this quantitative parameter may permit the objective measurement of preclinical disease progression. This current study in cognitively normal aging individuals provides the basis for the pursuance of investigations directed towards such neurodegenerative diseases.
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Affiliation(s)
- Keith R. Thulborn
- Correspondence to: K. Thulborn, University of Illinois at Chicago, Center for MR Research, 1801 West Taylor St., MC 707, Suite 1307, Chicago, IL 60612, USA.
| | - Elaine Lui
- Royal Melbourne Hospital, Radiology, Parkville, Vic., Australia
| | - Jonathan Guntin
- University of Illinois at Chicago, Center for MR Research, Chicago, IL, USA
| | - Saad Jamil
- University of Illinois at Chicago, Center for MR Research, Chicago, IL, USA
| | - Ziqi Sun
- University of Illinois at Chicago, Center for MR Research, Chicago, IL, USA
| | - Theodore Claiborne
- University of Illinois at Chicago, Center for MR Research, Chicago, IL, USA
| | - Ian C. Atkinson
- University of Illinois at Chicago, Center for MR Research, Chicago, IL, USA
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Mao CP, Bai ZL, Zhang XN, Zhang QJ, Zhang L. Abnormal Subcortical Brain Morphology in Patients with Knee Osteoarthritis: A Cross-sectional Study. Front Aging Neurosci 2016; 8:3. [PMID: 26834629 PMCID: PMC4717185 DOI: 10.3389/fnagi.2016.00003] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 01/04/2016] [Indexed: 02/05/2023] Open
Abstract
Despite the involvement of subcortical brain structures in the pathogenesis of chronic pain and persistent pain as the defining symptom of knee osteoarthritis (KOA), little attention has been paid to the morphometric measurements of these subcortical nuclei in patients with KOA. The purpose of this study is to explore the potential morphological abnormalities of subcortical brain structures in patients with KOA as compared to the healthy control subjects by using high-resolution MRI. Structural MR data were acquired from 26 patients with KOA and 31 demographically similar healthy individuals. The MR data were analyzed by using FMRIB’s integrated registration and segmentation tool. Both volumetric analysis and surface-based shape analysis were performed to characterize the subcortical morphology. The normalized volumes of bilateral caudate nucleus were significantly smaller in the KOA group than in the control group (P = 0.004). There was also a trend toward smaller volume of the hippocampus in KOA as compared to the control group (P = 0.027). Detailed surface analyses further localized these differences with a greater involvement of the left hemisphere (P < 0.05, corrected) for the caudate nucleus. Hemispheric asymmetry (right larger than left) of the caudate nucleus was found in both KOA and control groups. Besides, no significant correlation was found between the structural data and pain intensities. Our results indicated that patients with KOA had statistically significant smaller normalized volumes of bilateral caudate nucleus and a trend toward smaller volume of the hippocampus as compared to the control subjects. Further investigations are necessary to characterize the role of caudate nucleus in the course of chronicity of pain associated with KOA.
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Affiliation(s)
- Cui Ping Mao
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Zhi Lan Bai
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Xiao Na Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Qiu Juan Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
| | - Lei Zhang
- Department of Medical Imaging, the Second Affiliated Hospital of Xi'an Jiaotong University College of Medicine , Xi'an , China
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Cury C, Toro R, Cohen F, Fischer C, Mhaya A, Samper-González J, Hasboun D, Mangin JF, Banaschewski T, Bokde ALW, Bromberg U, Buechel C, Cattrell A, Conrod P, Flor H, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaitre H, Martinot JL, Nees F, Paillère Martinot ML, Orfanos DP, Paus T, Poustka L, Smolka MN, Walter H, Whelan R, Frouin V, Schumann G, Glaunès JA, Colliot O. Incomplete Hippocampal Inversion: A Comprehensive MRI Study of Over 2000 Subjects. Front Neuroanat 2015; 9:160. [PMID: 26733822 PMCID: PMC4686650 DOI: 10.3389/fnana.2015.00160] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 11/30/2015] [Indexed: 11/13/2022] Open
Abstract
The incomplete-hippocampal-inversion (IHI), also known as malrotation, is an atypical anatomical pattern of the hippocampus, which has been reported in healthy subjects in different studies. However, extensive characterization of IHI in a large sample has not yet been performed. Furthermore, it is unclear whether IHI are restricted to the medial-temporal lobe or are associated with more extensive anatomical changes. Here, we studied the characteristics of IHI in a community-based sample of 2008 subjects of the IMAGEN database and their association with extra-hippocampal anatomical variations. The presence of IHI was assessed on T1-weighted anatomical magnetic resonance imaging (MRI) using visual criteria. We assessed the association of IHI with other anatomical changes throughout the brain using automatic morphometry of cortical sulci. We found that IHI were much more frequent in the left hippocampus (left: 17%, right: 6%, χ(2)-test, p < 10(-28)). Compared to subjects without IHI, subjects with IHI displayed morphological changes in several sulci located mainly in the limbic lobe. Our results demonstrate that IHI are a common left-sided phenomenon in normal subjects and that they are associated with morphological changes outside the medial temporal lobe.
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Affiliation(s)
- Claire Cury
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Centre d'Acquisition et de Traitement des ImagesParis, France
| | - Roberto Toro
- Centre National de la Recherche Scientifique, Genes, Synapses and Cognition, URA 2182, Institut PasteurParis, France; Human Genetics and Cognitive Functions, Institut PasteurParis, France
| | - Fanny Cohen
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Clara Fischer
- Centre d'Acquisition et de Traitement des ImagesParis, France; Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du VivantGif-Sur-Yvette, France
| | - Amel Mhaya
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Jorge Samper-González
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France
| | - Dominique Hasboun
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Departments of Neuroradiology and Neurology, AP-HP, Hôpital de la Pitié-SalpétrièreParis, France
| | - Jean-François Mangin
- Centre d'Acquisition et de Traitement des ImagesParis, France; Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du VivantGif-Sur-Yvette, France
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Clinical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine, Trinity College DublinDublin, Ireland; Institute of Neuroscience, Trinity College DublinDublin, Ireland
| | - Uli Bromberg
- Department of Systems Neuroscience, Universitätsklinikum Hamburg Eppendorf Hamburg, Germany
| | - Christian Buechel
- Department of Systems Neuroscience, Universitätsklinikum Hamburg EppendorfHamburg, Germany; Department of Psychology, Stanford UniversityStanford, CA, USA
| | - Anna Cattrell
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; MRC Social, Genetic and Developmental Psychiatry CentreLondon, UK
| | - Patricia Conrod
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; Département de Psychiatrie, Centre Hospitalier Universitaire Sainte-Justine, Université de MontrealMontreal, QC, Canada
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany
| | - Juergen Gallinat
- Department of Systems Neuroscience, Universitätsklinikum Hamburg EppendorfHamburg, Germany; Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin BerlinGermany
| | - Hugh Garavan
- Discipline of Psychiatry, School of Medicine, Trinity College Dublin Dublin, Ireland
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin Berlin Germany
| | | | - Hervé Lemaitre
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris Descartes Paris, France
| | - Jean-Luc Martinot
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris Descartes Paris, France
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany
| | - Marie-Laure Paillère Martinot
- Institut national de la santé et de la recherche médicale U1000, Neuroimagerie en Psychiatrie, Université Paris-Sud, Université Paris DescartesParis, France; AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, University Paris Descartes, Sorbonne Paris CitéParis, France
| | - Dimitri P Orfanos
- Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du Vivant Gif-Sur-Yvette, France
| | - Tomas Paus
- Rotman Research Institute, BaycrestToronto, ON, Canada; Departments of Psychology and Psychiatry, University of TorontoToronto, Canada; Center for Developing Brain, Child Mind InstituteNew York, NY, USA
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, Clinical Faculty Mannheim, Central Institute of Mental Health, University of HeidelbergMannheim, Germany; Department of Child and Adolescent Psychiatry, Medical University of ViennaVienna, Austria
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin BerlinGermany; Berlin School of Mind and Brain, Humboldt University BerlinBerlin, Germany
| | - Robert Whelan
- Department of Psychology, University College Dublin Dublin, Ireland
| | - Vincent Frouin
- Institut d'Imagerie Biomédicale; Commissariat à l'énergie atomique et aux énergies alternatives; Direction des Sciences du Vivant Gif-Sur-Yvette, France
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College LondonLondon, UK; MRC Social, Genetic and Developmental Psychiatry CentreLondon, UK
| | - Joan A Glaunès
- MAP5, Université Paris Descartes, Sorbonne Paris Cité Paris, France
| | - Olivier Colliot
- Institut national de la santé et de la recherche médicale, U1127Paris, France; Centre National de la Recherche Scientifique, UMR 7225 Institut du Cerveau et de la Moelle épinièreParis, France; Sorbonne Universités, Université Pierre et Marie Curie Univ Paris 06, UMR S 1127Paris, France; Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle épinièreParis, France; Inria, Aramis Team, Centre de Recherche Paris-RocquencourtParis, France; Centre d'Acquisition et de Traitement des ImagesParis, France; Departments of Neuroradiology and Neurology, AP-HP, Hôpital de la Pitié-SalpétrièreParis, France
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Strain JF, Womack KB, Didehbani N, Spence JS, Conover H, Hart J, Kraut MA, Cullum CM. Imaging Correlates of Memory and Concussion History in Retired National Football League Athletes. JAMA Neurol 2015; 72:773-80. [PMID: 25985094 DOI: 10.1001/jamaneurol.2015.0206] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE To our knowledge, this is the first study to show an association between concussion, cognition, and anatomical structural brain changes across the age spectrum in former National Football League athletes. OBJECTIVE To assess the relationship of hippocampal volume, memory performance, and the influence of concussion history in retired National Football League athletes with and without mild cognitive impairment (MCI). DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study assessed differences between groups, mean hippocampal volumes, and memory performance by computing age quintiles based on group-specific linear regression models corrected for multiple comparisons for both athletes and control participants. The study was conducted starting in November 2010 and is ongoing at a research center in the northern region of Texas. This current analysis was conducted from October 9, 2013, to August 21, 2014. Participants included 28 retired National Football League athletes, 8 of whom had MCI and a history of concussion, 21 cognitively healthy control participants, and 6 control participants with MCI without concussion. MAIN OUTCOMES AND MEASURES Hippocampal volume, age, California Verbal Learning Test scores, and the number of grade 3 (G3) concussions. In addition, the number of games played was examined as an objective variable pertaining to football history. RESULTS The mean (SD) age was 58.1 (13) years for the 28 former athletes and 59.0 (12) years for the 27 control participants. Retired athletes with concussion history but without cognitive impairment had normal but significantly lower California Verbal Learning Test scores compared with control participants (mean [SD], 52.5 [8] vs 60.24 [7]; P = .002); those with a concussion history and MCI performed worse (mean [SD], 37 [8.62]) compared with both control participants (P < .001) and athletes without memory impairment (P < .001). Among the athletes, 17 had a G3 concussion and 11 did not. Older retired athletes with at least 1 G3 concussion had significantly smaller bilateral hippocampal volumes compared with control participants at the 40th age percentile (left, P = .04; right, P = .03), 60th percentile (left, P = .009; right, P = .01), and 80th percentile (left, P = .001; right, P = .002) and a smaller right hippocampal volume compared with athletes without a G3 concussion at the 40th percentile (P = .03), 60th percentile (P = .02), and 80th percentile (P = .02). Athletes with a history of G3 concussion were more likely to have MCI (7 of 7) compared with retired athletes without a history of G3 concussion (1 of 5) older than 63 years (P = .01). In addition, the left hippocampal volume in retired athletes with MCI and concussion was significantly smaller compared with control participants with MCI (P = .03). CONCLUSION AND RELEVANCE Prior concussion that results in loss of consciousness is a risk factor for increased hippocampal atrophy and the development of MCI. In individuals with MCI, hippocampal volume loss appears greater among those with a history of concussion.
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Affiliation(s)
- Jeremy F Strain
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas
| | - Kyle B Womack
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas3Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas
| | - Nyaz Didehbani
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas
| | - Jeffrey S Spence
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas
| | - Heather Conover
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas
| | - John Hart
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas3Department of Neurology and Neurotherapeutics, University of Texas
| | - Michael A Kraut
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas4Department of Radiology, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - C Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas3Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas
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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: 36] [Impact Index Per Article: 3.6] [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.
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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
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Mulder ER, de Jong RA, Knol DL, van Schijndel RA, Cover KS, Visser PJ, Barkhof F, Vrenken H. Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST. Neuroimage 2014; 92:169-81. [PMID: 24521851 DOI: 10.1016/j.neuroimage.2014.01.058] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 01/23/2014] [Accepted: 01/31/2014] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To measure hippocampal volume change in Alzheimer's disease (AD) or mild cognitive impairment (MCI), expert manual delineation is often used because of its supposed accuracy. It has been suggested that expert outlining yields poorer reproducibility as compared to automated methods, but this has not been investigated. AIM To determine the reproducibilities of expert manual outlining and two common automated methods for measuring hippocampal atrophy rates in healthy aging, MCI and AD. METHODS From the Alzheimer's Disease Neuroimaging Initiative (ADNI), 80 subjects were selected: 20 patients with AD, 40 patients with mild cognitive impairment (MCI) and 20 healthy controls (HCs). Left and right hippocampal volume change between baseline and month-12 visit was assessed by using expert manual delineation, and by the automated software packages FreeSurfer (longitudinal processing stream) and FIRST. To assess reproducibility of the measured hippocampal volume change, both back-to-back (BTB) MPRAGE scans available for each visit were analyzed. Hippocampal volume change was expressed in μL, and as a percentage of baseline volume. Reproducibility of the 1-year hippocampal volume change was estimated from the BTB measurements by using linear mixed model to calculate the limits of agreement (LoA) of each method, reflecting its measurement uncertainty. Using the delta method, approximate p-values were calculated for the pairwise comparisons between methods. Statistical analyses were performed both with inclusion and exclusion of visibly incorrect segmentations. RESULTS Visibly incorrect automated segmentation in either one or both scans of a longitudinal scan pair occurred in 7.5% of the hippocampi for FreeSurfer and in 6.9% of the hippocampi for FIRST. After excluding these failed cases, reproducibility analysis for 1-year percentage volume change yielded LoA of ±7.2% for FreeSurfer, ±9.7% for expert manual delineation, and ±10.0% for FIRST. Methods ranked the same for reproducibility of 1-year μL volume change, with LoA of ±218 μL for FreeSurfer, ±319 μL for expert manual delineation, and ±333 μL for FIRST. Approximate p-values indicated that reproducibility was better for FreeSurfer than for manual or FIRST, and that manual and FIRST did not differ. Inclusion of failed automated segmentations led to worsening of reproducibility of both automated methods for 1-year raw and percentage volume change. CONCLUSION Quantitative reproducibility values of 1-year microliter and percentage hippocampal volume change were roughly similar between expert manual outlining, FIRST and FreeSurfer, but FreeSurfer reproducibility was statistically significantly superior to both manual outlining and FIRST after exclusion of failed segmentations.
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Affiliation(s)
- Emma R Mulder
- Image Analysis Center, VU University Medical Center, Amsterdam, The Netherlands; Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Remko A de Jong
- Image Analysis Center, VU University Medical Center, Amsterdam, The Netherlands; Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Dirk L Knol
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Ronald A van Schijndel
- Image Analysis Center, VU University Medical Center, Amsterdam, The Netherlands; Department of Information and Communication Technology, VU University Medical Center, Amsterdam, The Netherlands
| | - Keith S Cover
- Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands
| | - Pieter J Visser
- Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Image Analysis Center, VU University Medical Center, Amsterdam, The Netherlands; Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Hugo Vrenken
- Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands; Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands.
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38
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Brown ES, Hughes CW, McColl R, Peshock R, King KS, Rush AJ. Association of depressive symptoms with hippocampal volume in 1936 adults. Neuropsychopharmacology 2014; 39:770-9. [PMID: 24220026 PMCID: PMC3895255 DOI: 10.1038/npp.2013.271] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Revised: 09/04/2013] [Accepted: 09/14/2013] [Indexed: 12/28/2022]
Abstract
Hippocampal atrophy is reported in major depressive disorder (MDD). However, sample sizes were generally modest, and participant characteristics, including age, differed between studies. This study used a community sample to examine relationships between current depressive symptom severity and hippocampal volume across the adult lifespan. A total of 1936 adults with magnetic resonance images of the brain and Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores were included. Brain volumes were quantified using the FSL program. Multiple linear regressions were performed using left, right, and total hippocampal volume as criterion variables, and predictor variables of QIDS-SR total, total brain volume, age, gender, education, psychotropic medications, alcohol use, and race/ethnicity. Post hoc analyses were conducted in participants with QIDS-SR scores 11 (moderate or greater depressive symptom severity) and <11, and older and younger adults. In the primary analysis (sample as a whole) QIDS-SR was inversely associated with total hippocampal volume (b=-0.044, p=0.032, (CI-0.019 to -0.001)) but not with left or right hippocampal volume evaluated individually. In participants with QIDS-SR scores of <11, hippocampal volumes were not associated with QIDS-SR scores. In those with QIDS-SR scores 11 total, right, and left hippocampal volumes were modestly, but significantly, associated with QIDS-SR scores. The association between QIDS-SR scores and the hippocampal volume was much stronger in older persons. Findings suggest smaller hippocampal volumes among those with greater reported depressive symptom severity-an association that is strongest in people with at least moderate depressive symptom levels.
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Affiliation(s)
- E Sherwood Brown
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. MC 8849, Dallas, TX 75390-8849, USA, Tel: +1 214 645 6950, Fax: +1 214 645 6951, E-mail:
| | - Carroll W Hughes
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Roderick McColl
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ronald Peshock
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kevin S King
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
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39
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Donix M, Burggren AC, Scharf M, Marschner K, Suthana NA, Siddarth P, Krupa AK, Jones M, Martin-Harris L, Ercoli LM, Miller KJ, Werner A, von Kummer R, Sauer C, Small GW, Holthoff VA, Bookheimer SY. APOE associated hemispheric asymmetry of entorhinal cortical thickness in aging and Alzheimer's disease. Psychiatry Res 2013; 214:212-20. [PMID: 24080518 PMCID: PMC3851589 DOI: 10.1016/j.pscychresns.2013.09.006] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Revised: 09/07/2013] [Accepted: 09/09/2013] [Indexed: 11/26/2022]
Abstract
Across species structural and functional hemispheric asymmetry is a fundamental feature of the brain. Environmental and genetic factors determine this asymmetry during brain development and modulate its interaction with brain disorders. The e4 allele of the apolipoprotein E gene (APOE-4) is a risk factor for Alzheimer's disease, associated with regionally specific effects on brain morphology and function during the life span. Furthermore, entorhinal and hippocampal hemispheric asymmetry could be modified by pathology during Alzheimer's disease development. Using high-resolution magnetic resonance imaging and a cortical unfolding technique we investigated whether carrying the APOE-4 allele influences hemispheric asymmetry in the entorhinal cortex and the hippocampus among patients with Alzheimer's disease as well as in middle-aged and older cognitively healthy individuals. APOE-4 carriers showed a thinner entorhinal cortex in the left hemisphere when compared with the right hemisphere across all participants. Non-carriers of the allele showed this asymmetry only in the patient group. Cortical thickness in the hippocampus did not vary between hemispheres among APOE-4 allele carriers and non-carriers. The APOE-4 allele modulates hemispheric asymmetry in entorhinal cortical thickness. Among Alzheimer's disease patients, this asymmetry might be less dependent on the APOE genotype and a more general marker of incipient disease pathology.
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Affiliation(s)
- Markus Donix
- Department of Psychiatry and Psychotherapy, Division of Old Age Psychiatry and Cognitive Neuropsychiatry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; DZNE, German Center for Neurodegenerative Diseases, Dresden, Germany.
| | - Alison C. Burggren
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Maria Scharf
- Department of Psychiatry and Psychotherapy, Division of Old Age Psychiatry and Cognitive Neuropsychiatry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany,DZNE, German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Kira Marschner
- Department of Psychiatry and Psychotherapy, Division of Old Age Psychiatry and Cognitive Neuropsychiatry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany,DZNE, German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Nanthia A. Suthana
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Neurosurgery, Los Angeles CA 90095, USA
| | - Prabha Siddarth
- David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Allison K. Krupa
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Michael Jones
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Laurel Martin-Harris
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Linda M. Ercoli
- David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Karen J. Miller
- David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA
| | - Annett Werner
- Department of Neuroradiology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Rüdiger von Kummer
- Department of Neuroradiology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Cathrin Sauer
- Department of Psychiatry and Psychotherapy, Division of Old Age Psychiatry and Cognitive Neuropsychiatry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Gary W. Small
- David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA,UCLA Longevity Center, CA 90095, USA
| | - Vjera A. Holthoff
- Department of Psychiatry and Psychotherapy, Division of Old Age Psychiatry and Cognitive Neuropsychiatry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany,DZNE, German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Susan Y. Bookheimer
- David Geffen School of Medicine at UCLA, Center for Cognitive Neurosciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Los Angeles, CA 90095, USA,David Geffen School of Medicine at UCLA, Department of Psychology, Los Angeles, CA 90095, USA
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