Literature DB >> 24661561

Detection of changes in the locus coeruleus in patients with mild cognitive impairment and Alzheimer's disease: high-resolution fast spin-echo T1-weighted imaging.

Junko Takahashi1, Toshihide Shibata, Makoto Sasaki, Masako Kudo, Hisashi Yanezawa, Satoko Obara, Kohsuke Kudo, Kenji Ito, Fumio Yamashita, Yasuo Terayama.   

Abstract

AIM: Neuronal degeneration in the locus coeruleus occurs in the early phase of Alzheimer's disease, similar to mild cognitive impairment. The locus coeruleus produces norepinephrine, a deficiency of which causes both memory disturbance and psychological symptoms. Thus, we evaluated signal alterations in the locus coeruleus of patients with Alzheimer's disease and mild cognitive impairment using a high-resolution fast spin-echo T1-weighted imaging.
METHODS: A total of 22 patients with Alzheimer's disease, 47 patients with mild cognitive impairment and 26 healthy controls were prospectively examined by high-resolution fast spin-echo T1-weighted imaging at 3 Tesla. Signal intensities in the locus coeruleus were manually measured and expressed relative to those in the adjacent white matter structures as contrast ratios.
RESULTS: Locus coeruleus contrast ratios were significantly reduced in patient groups with Alzheimer's disease, mild cognitive impairment that converted to Alzheimer's disease and mild cognitive impairment that did not convert to Alzheimer's disease (1.80-16.09% [median, 9.30%], 3.45-14.84% [median 6.87%] and 3.01-19.19% [median 7.72%], respectively) compared with the healthy control group (6.24-20.94% [median 14.35%]; P < 0.0001). The sensitivity and specificity for discriminating these diseases were 85.0% and 69.2%, respectively, which suggests that this measurement can be carried out reliably. There was no significant difference in the locus coeruleus contrast ratios among the Alzheimer's disease, mild cognitive impairment-converted and mild cognitive impairment-non-converted groups.
CONCLUSIONS: High-resolution fast spin-echo T1-weighted imaging can show signal attenuation in the locus coeruleus of patients with Alzheimer's disease or with mild cognitive impairment whose pathology may or may not eventually convert to Alzheimer's disease.
© 2014 The Authors. Geriatrics & Gerontology International published by Wiley Publishing Asia Pty Ltd on behalf of Japanese Geriatrics Society.

Entities:  

Keywords:  Alzheimer's disease; locus coeruleus; magnetic resonance imaging; mild cognitive impairment; neuromelanin

Mesh:

Year:  2014        PMID: 24661561      PMCID: PMC4405055          DOI: 10.1111/ggi.12280

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


Introduction

The locus coeruleus (LC) is a small, rod-shaped nucleus located in the pontine tegmentum (PT) along the lateral edge of the floor of the fourth ventricle. It contains noradrenergic neurons that send widespread projections throughout the central nervous system.1,2 LC neuronal loss is one of the characteristic pathologies of early-stage Parkinson's disease (PD) and Alzheimer's disease (AD).3–8 Detection of LC degeneration by neuroimaging could therefore contribute to the early or preclinical diagnosis of AD facilitating the use of disease-modifying interventions in the future. However, conventional magnetic resonance imaging (MRI) has not been successful in delineating the LC. Recently, visualization of neuromelanin-containing nuclei, such as the LC and substantia nigra pars compacta (SNc), has become possible through the introduction of a fast spin-echo (FSE) T1-weighted image9,10 that can enhance T1-related contrast of neuromelanin.11,12 Using this method, signal attenuation or volume loss in the SNc and/or LC detected in patients with PD, various parkinsonisms and depression, results that might reflect pathological or functional changes in these nuclei.9,13,14 However, changes in the LC of patients with AD or mild cognitive impairment (MCI) have not yet been investigated. Thus, we attempted to determine: (i) whether high-resolution FSE T1-weighted MRI can detect changes in the LC of patients with AD and MCI; and (ii) if this method can in fact predict the progression of MCI to AD.

Methods

Patients

MRI was prospectively carried out between 1 November 2006 and 31 December 2011 in the Department of Neurology and Gerontology, School of Medicine, Iwate Medical University, Morioka, Japan. Participants were 22 consecutive patients with AD who met the criteria for probable AD according to The National Institute of Neurological and Communicative Diseases and Stroke and Alzheimer's Disease and Related Disorders Association15,16 and Functional Assessment Staging (FAST) Stage 4 (11 men and 11 women; age 59–86 years [median 76.5 years]; duration of disease 0.5–10 years [median 5 years]), and 47 consecutive patients with amnestic MCI who fulfilled Petersen's criteria17,18 and FAST Stage 3 criteria (22 men and 25 women; age 60–87 years [median 73 years]; duration of disease, 0.5–7 years [median 2 years]). Scores on the Mini-Mental State Examination (MMSE) carried out within 1 week of the MR examination were 16–26 (median 22) in patients with AD and 19–30 (median 25) in patients with MCI. A total of 15 out of the 22 patients with AD and 25 out of the 47 patients with MCI were given cholinesterase inhibitors. Additionally, 26 healthy elderly individuals with no known neurological disorders (12 men, 14 women; age 60–83 years [median 70 years]) were also examined. These 26 control subjects had no abnormal neurological findings and their MR T2-weighted images were normal. After being observed for at least 2 years (2–6 years [median 4 years]), 18 patients with MCI (8 men and 10 women; age 62–85 years [median 73 years]) met the criteria for probable AD according to the The National Institute of Neurological and Communicative Diseases and Stroke and Alzheimer's Disease and Related Disorders Association. These patients were then included in the AD-converted MCI (MCIc) group. A total of 20 patients who did not meet the criteria for probable AD (8 men and 12 women; age 60–87 years [median 74 years]) were included in the non-converted MCI (MCInc) group. The remaining nine patients with MCI were excluded from the study; one patient showed reversion of symptoms, and eight patients stopped visiting the hospital. We carried out all examinations after obtaining both the approval of the Iwate Medical University Research Ethics Committee and after obtaining written informed consent from each participant.

Imaging protocol

Using a 3-Tesla MR scanner (Signa Excite HDxt; GE Healthcare, Milwaukee, WI, USA), we obtained oblique axial FSE T1-weighted images (repetition time 600 ms; echo time 14 ms; flip angle 90 degrees; echo train length 2; number of excitations 8; matrix size 512 × 320; field of view 220 mm; pixel size 0.42 × 0.68 mm; number of slices 10; slice thickness 2.5 mm; interslice gap 1 mm; acquisition time 12 min) as previously reported.9,10 Images were carefully set perpendicular to the fourth ventricle floor, with coverage between the posterior commissure and the inferior border of the pons. T1- and T2-weighted images of the entire brain were also obtained from all participants in order to exclude the possibility of other neurological disorders, and to confirm the absence of coexisting lesions, such as discrete cerebral infarcts and hemorrhages, that could interfere with further assessment.

Data processing

For quantitative evaluation of the high-resolution FSE T1-weighted image, signal intensities were measured using circular regions of interest (ROI) of 1 mm2 and 10 mm2 for the LC and PT, respectively. ROI were viewed on a liquid crystal display in the section through the upper pons (Fig. 1a). One of the authors (J T), who was blind to subject information, measured the signal intensity of the LC at 7 mm below the section through the inferior edge of the inferior colliculus. Three measurements were carried out at 1-week intervals, and the obtained values were then averaged. The ROI of the LC was manually derived using the highest intensity position around the floor of the fourth ventricle. LC contrast ratios (LC-CR) were calculated using the following equation: LC-CR = (SILC − SIPT) / SIPT, where SILC is the averaged signal intensity the left and right LC, and SIPT is the signal intensity of the PT.
Figure 1

High-resolution fast spin-echo T1-weighted imaging of a healthy subject, patients with mild cognitive impairment (MCI) and a patient with Alzheimer's disease (AD). (a) A healthy subject. (b) A patient with MCI without conversion to AD (MCInc). (c) A patient with MCI converted to AD (MCIc). (d) A patient with AD. (a) In the healthy subject, a punctate region of high signal intensity showing the locus coeruleus (LC) is evident (arrow), (b–d) whereas the signal intensity is remarkably diminished in patients with MCInc, MCIc, or AD (arrows). Small circle, region of interest for measuring signal intensity in the LC (1 mm2); large circle, region of interest for the pontine tegmentum (10 mm2).

High-resolution fast spin-echo T1-weighted imaging of a healthy subject, patients with mild cognitive impairment (MCI) and a patient with Alzheimer's disease (AD). (a) A healthy subject. (b) A patient with MCI without conversion to AD (MCInc). (c) A patient with MCI converted to AD (MCIc). (d) A patient with AD. (a) In the healthy subject, a punctate region of high signal intensity showing the locus coeruleus (LC) is evident (arrow), (b–d) whereas the signal intensity is remarkably diminished in patients with MCInc, MCIc, or AD (arrows). Small circle, region of interest for measuring signal intensity in the LC (1 mm2); large circle, region of interest for the pontine tegmentum (10 mm2). For evaluating mesial temporal atrophy, interuncal distance (IUD) was measured bilaterally from the section intersecting the uncus on the T1-weighted image, as previously reported.19 The measurements were carried out a total of three times with 1-week intervals between measurements, after which the measured values were averaged.

Statistical analyses

Kruskal–Wallis and Steel–Dwass tests were used to determine differences in LC-CR among the AD, MCIc, MCInc and control groups. These tests were also carried out to evaluate differences in participant demographics among the groups. To determine the sensitivity and specificity of high-resolution FSE T1-weighted imaging for discriminating among the four groups, receiver operating characteristic (ROC) analyses were carried out. Cut-off values were determined by the Youden index. Multiple regression analysis was also used to examine whether the demographics were independently related to LC-CR. Intraoperator agreement of the obtained measurements was determined by calculating the intraclass correlation coefficient (ICC). The alpha level for all analyses was 0.05.

Results

MR examination was successfully carried out for all participants without significant motion artifact, and the images obtained were eligible for further quantitative analyses. Patient demographics are shown in Table 1. No significant differences in sex or administration of cholinesterase inhibitors were observed among the groups. Several observations were made: the healthy subjects were younger than patients with AD (P = 0.042, Steel–Dwass test); disease durations were significantly longer in patients with AD than in patients with MCIc and MCInc (P = 0.045 and 0.008, respectively; Steel–Dwass test); MMSE scores were significantly lower in patients with AD than in patients with MCInc (P < 0.0002, Steel–Dwass test); and IUDs were significantly larger in the AD group than in the control group (P = 0.0024, Steel–Dwass test). However, none of these demographic parameters was correlated with the LC-CR. Similarly, treatment with cholinesterase inhibitors was not correlated with the LC-CR (P = 0.5724, Steel-Dwass test). The correlation coefficients describing a lack of association between LC-CR and age, disease duration, MMSE, sex and cholinesterase inhibitor medication were r = 0.022 (P = 0.835), r = −0.049 (P = 0.700), r = −0.027 (P = 0.834), r = 0.064 (P = 0.0548) and r = 0.026 (P = 0.843), respectively.
Table 1

Demographics of patients with Alzheimer's disease, patients with mild cognitive impairment and healthy individuals

ADMCIcMCIncControlP-value
(n = 22)(n = 18)(n = 20)(n = 26)
AgeRange59–8662–8560–8760–830.027
(years)(median)(76.5)(73)(75)(70)*
SexMen1188120.93
(%)(50)(44)(40)(46)
DurationRange0.5–100.5–70.5–7NA0.005
(years)(median)(5)**(2)(2)
MMSERange16–2619–2819–30NA<0.001
(median)(22)**(25)(26)
CE inhibitorsNumber151015NA0.37
(%)(68)(56)(75)
IUDRange23.2–33.519.0–31.120.8–33.519.1–31.00.004
(mm)(median)(27.9)**(26.2)(24.9)(25.3)

P < 0.05,

P < 0.01 (Steel–Dwass test);

Kruskal–Wallis test.

AD, Alzheimer's disease; CE, cholinesterase; IUD, interuncal distance; MCIc, mild cognitive impairment converter; MCInc, mild cognitive impairment non-converter; MMSE, Mini-Mental State Examination; NA, not applicable.

Demographics of patients with Alzheimer's disease, patients with mild cognitive impairment and healthy individuals P < 0.05, P < 0.01 (Steel–Dwass test); Kruskal–Wallis test. AD, Alzheimer's disease; CE, cholinesterase; IUD, interuncal distance; MCIc, mild cognitive impairment converter; MCInc, mild cognitive impairment non-converter; MMSE, Mini-Mental State Examination; NA, not applicable. LC-CR ranged from 1.80–16.09% (median 9.30%), 3.45–14.84% (median 6.87%), 3.01–19.19% (median 7.72%) and 6.24–20.94% (median 14.35%) in the AD, MCIc, MCInc, and control groups, respectively. A significant difference was observed among the groups (P < 0.0001) using the Kruskal–Wallis test. Additional analysis using the Steel–Dwass test showed that the LC-CR were markedly decreased in the AD, MCIc and MCInc groups (P = 0.0031, 0.0002, and 0.0168, respectively) compared with the healthy control group (Fig. 2), whereas no significant differences were observed among the AD, MCIc and MCInc groups (P = 0.45–1.00).
Figure 2

Locus coeruleus contrast ratios in healthy subjects and in patients with mild cognitive impairment (MCI) or with Alzheimer's disease (AD). The locus coeruleus contrast ratio was markedly decreased in the MCI without conversion to AD (MCInc), MCI converted to AD (MCIc) and AD groups than in the healthy control group, whereas no significant difference was observed between the AD, MCIc and MCInc groups.

Locus coeruleus contrast ratios in healthy subjects and in patients with mild cognitive impairment (MCI) or with Alzheimer's disease (AD). The locus coeruleus contrast ratio was markedly decreased in the MCI without conversion to AD (MCInc), MCI converted to AD (MCIc) and AD groups than in the healthy control group, whereas no significant difference was observed between the AD, MCIc and MCInc groups. ROC analyses showed that the area under the ROC curve (AUC) of the LC-CR for discriminating the AD and MCI groups from the healthy control group was 0.83, and the sensitivity and specificity were 85.0% and 69.2%, respectively, when the cut-off value was set at 12.5% (Fig. 3). In contrast, the AUC for discriminating the AD and MCIc groups from the MCInc and healthy control groups was 0.69, and the sensitivity and specificity were 63.4% and 67.4%, respectively, with a cut-off value of 9.18%.
Figure 3

Receiver operating characteristic curves of the locus coeruleus contrast ratio in patients with Alzheimer's disease, mild cognitive impairment and normal control group.

Receiver operating characteristic curves of the locus coeruleus contrast ratio in patients with Alzheimer's disease, mild cognitive impairment and normal control group. ICC values for the manual measurements of LC were 0.984–0.997, showing excellent intraoperator agreement.

Discussion

In the present study, we successfully detected signal attenuations in the LC of patients with AD or MCI using high-resolution FSE T1-weighted imaging. This finding corresponds well to pathological findings of a decrease in neuromelanin contents as a result of neuronal loss in the LC of these patients. Thus, high-resolution FSE T1-weighted imaging could enable direct visualization of the LC degeneration, which occurs in AD and MCI, a progression that cannot be detected by other MRI techniques. We observed that signal attenuation in the LC was evident even in patients with MCI; furthermore, there were no substantial differences in signal changes between the MCI and AD groups. Noticeably, this relative stability of the LC signal differs from what is observed in mesial temporal lobe atrophy. Atrophy of mesial temporal lobe structures, such as the hippocampus, entorhinal cortex and amygdala, tends to follow AD progression.20,21 In the present study, IUD, which reflects mesial temporal lobe atrophy, gradually increased along with disease severity, and showed no substantial correlation with LC changes. Pathological changes of the LC in AD and MCI have been thoroughly investigated. AD is characterized by two pathological hallmarks: extracellular amyloid deposits22,23 and intraneuronal neurofibrillary tangles as a result of phosphorylated tau.22 Amyloid beta deposits are first observed in the neocortex, then in the hippocampal formation, subcortical regions and finally in several brainstem nuclei.22,23 Hence, amyloid beta deposits in the LC are not detectable until the disease has progressed significantly. In contrast, the deposition of phosphorylated tau and subsequent neuronal loss in the LC are observed from very early stages of AD, MCI and preclinical AD.3,6,24–27 However, no investigators have previously carried out an in vivo evaluation of alterations in the LC of patients with AD or MCI, mainly because the LC has been an “invisible” structure on conventional MR images. Thus, signal attenuation in the LC, observed using high-resolution FSE T1-weighted imaging, could comprise an effective marker for the detection of early or prodromal stages of AD. Contrary to our expectations, we observed significant signal attenuation in the LC not only in the MCIc group, but also in the MCInc group, with no substantial differences being observed between these two groups. These results suggest that signal changes in the LC are not specific to the prodromal stage of AD and cannot predict whether patients with MCI will convert to AD. However, conversion to AD can be predicted by quantitative assessment of mesial temporal lobe atrophy using sophisticated voxel-based morphometry (VBM) techniques.20,21,28 MCI can result from a number of heterogeneous causes, such as dementia with diffuse Lewy bodies, PD dementia and argyrophilic grain dementia.29 Neuronal loss in the LC was reported in several pathological studies on these disorders,7,30–32 consistent with the LC signal changes seen in the MCInc group in the present study. Thus, the present results suggest that neuronal loss in the LC might be one of the cardinal mechanisms of MCI. Furthermore, we could not distinguish MCI that converted to AD from MCI that did not convert to AD by using this method. In considering alternative artifactual interpretations of these data, we can make note of several previous observations. According to a report by Kaneda, in patients who have had gadolinium, high signal intensity might be observed.33 However, the present patients and participants had not used gadolinium. Manganese is a heavy metal that also produces high-intensity signals in T1-weighted images. The causes of manganese deposition in the brain are hepatic encephalopathy and intravenous hyperalimentation. In the present study, none of the participants and patients had experienced these conditions. Conversely, iron shows low intensity on T2-weighted imaging of the brain. In contrast, iron generally produced no changes in high-resolution FSE T1-weighted imaging. For example, although the red nucleus contains a relatively large component of iron, it did not show high intensity using this sequence. The present study had several limitations. First, we did not compare LC changes with other biomarkers for LC-related norepinephrine dysfunction, such as norepinephrine concentration in the cerebrospinal fluid. Second, the present study could not show whether LC signal changes are present in non-AD dementias. In this study, we observed patients in the MCInc group for 2–6 years, which was too short a period to determine the final clinical diagnosis of these patients. Third, this study did not elucidate advantages of this method over VBM or other sophisticated quantitative methods except by comparing LC changes with IUD, a marker classically used to reflect medial temporal lobe atrophy. In the present study, we did not obtain 3-D T1-weighted images, which are primarily used for VBM, or T1 coronal images because of a limited examination time schedule. Direct comparison between high-resolution FSE T1-weighted imaging and VBM is required to compare the diagnostic validity of these two methods. There are several disadvantages of the technique used for T1-weighted FSE imaging in the present study. The technique is time-consuming, has relatively low spatial resolution for assessment of the LC and suffers from substantial signal heterogeneity as a result of the heterogeneous local magnetic field at 3 Tesla, which can diminish the quantitative value of these measurements. The manual measurement we carried out might also possibly explain the large variability in measures, although intraoperator agreement was high in this study. Although all patients had mild symptoms and could finish examinations without significant motion artifact, there were some effects of cardiac cycle and cerebrospinal fluid flow dynamics.34 Three-dimensional imaging techniques and automatic measurements are required to improve the precision of measurements of signal alterations in the LC.35 We are currently using these techniques in our ongoing studies. The present study showed that high-resolution FSE T1-weighted imaging enables visualization of signal attenuation in the LC of patients with AD or MCI. However, it remains unknown whether this technique can be used to detect changes in patients with preclinical AD. It is also unclear whether the LC signal can track the progression of AD symptoms or predict patient outcomes. We assessed the MCI patients as converter/non-converter by evaluating only the symptoms. Therefore, longitudinal evaluations of MR images and point-by-point analyses are required to clarify these issues. High-resolution FSE T1-weighted imaging shows significant signal attenuation in the LC of patients with AD and MCI, with or without conversion to AD, indicating that neuronal loss can occur early on in these patients.
  33 in total

1.  Disease-specific patterns of locus coeruleus cell loss.

Authors:  D C German; K F Manaye; C L White; D J Woodward; D D McIntire; W K Smith; R N Kalaria; D M Mann
Journal:  Ann Neurol       Date:  1992-11       Impact factor: 10.422

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Authors:  Gary Aston-Jones; Jonathan D Cohen
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Review 3.  The locus coeruleus-noradrenergic system: modulation of behavioral state and state-dependent cognitive processes.

Authors:  Craig W Berridge; Barry D Waterhouse
Journal:  Brain Res Brain Res Rev       Date:  2003-04

4.  Paramagnetic metal scavenging by melanin: MR imaging.

Authors:  W S Enochs; P Petherick; A Bogdanova; U Mohr; R Weissleder
Journal:  Radiology       Date:  1997-08       Impact factor: 11.105

5.  Effects of the interaction between ferric iron and L-dopa melanin on T1 and T2 relaxation times determined by magnetic resonance imaging.

Authors:  J M Tosk; B A Holshouser; R C Aloia; D B Hinshaw; A N Hasso; J P MacMurray; A D Will; L P Bozzetti
Journal:  Magn Reson Med       Date:  1992-07       Impact factor: 4.668

Review 6.  Cognitive dysfunction and dementia in Parkinson's disease.

Authors:  J L W Bosboom; D Stoffers; E Ch Wolters
Journal:  J Neural Transm (Vienna)       Date:  2004-06-30       Impact factor: 3.575

Review 7.  Mild cognitive impairment--beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment.

Authors:  B Winblad; K Palmer; M Kivipelto; V Jelic; L Fratiglioni; L-O Wahlund; A Nordberg; L Bäckman; M Albert; O Almkvist; H Arai; H Basun; K Blennow; M de Leon; C DeCarli; T Erkinjuntti; E Giacobini; C Graff; J Hardy; C Jack; A Jorm; K Ritchie; C van Duijn; P Visser; R C Petersen
Journal:  J Intern Med       Date:  2004-09       Impact factor: 8.989

Review 8.  Dysfunction of the locus coeruleus-norepinephrine system and related circuitry in Parkinson's disease-related dementia.

Authors:  Kelly Del Tredici; Heiko Braak
Journal:  J Neurol Neurosurg Psychiatry       Date:  2012-10-13       Impact factor: 10.154

9.  Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.

Authors:  G McKhann; D Drachman; M Folstein; R Katzman; D Price; E M Stadlan
Journal:  Neurology       Date:  1984-07       Impact factor: 9.910

Review 10.  Neuropathological stageing of Alzheimer-related changes.

Authors:  H Braak; E Braak
Journal:  Acta Neuropathol       Date:  1991       Impact factor: 17.088

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Review 1.  The Locus Coeruleus: Essential for Maintaining Cognitive Function and the Aging Brain.

Authors:  Mara Mather; Carolyn W Harley
Journal:  Trends Cogn Sci       Date:  2016-03       Impact factor: 20.229

2.  Histologic validation of locus coeruleus MRI contrast in post-mortem tissue.

Authors:  Noam I Keren; Saeid Taheri; Elena M Vazey; Paul S Morgan; Ann-Charlotte E Granholm; Gary S Aston-Jones; Mark A Eckert
Journal:  Neuroimage       Date:  2015-03-17       Impact factor: 6.556

3.  Locus Coeruleus Degeneration Differs Between Frontotemporal Lobar Degeneration Subtypes.

Authors:  Nathalie Matti; Keivan Javanshiri; Mattias Haglund; Xavier Saenz-Sardá; Elisabet Englund
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4.  Resting-State Functional Connectivity of the Locus Coeruleus in Humans: In Comparison with the Ventral Tegmental Area/Substantia Nigra Pars Compacta and the Effects of Age.

Authors:  Sheng Zhang; Sien Hu; Herta H Chao; Chiang-Shan R Li
Journal:  Cereb Cortex       Date:  2015-07-28       Impact factor: 5.357

5.  Neuromelanin marks the spot: identifying a locus coeruleus biomarker of cognitive reserve in healthy aging.

Authors:  David V Clewett; Tae-Ho Lee; Steven Greening; Allison Ponzio; Eshed Margalit; Mara Mather
Journal:  Neurobiol Aging       Date:  2015-10-29       Impact factor: 4.673

6.  Primary age-related tauopathy (PART): a common pathology associated with human aging.

Authors:  John F Crary; John Q Trojanowski; Julie A Schneider; Jose F Abisambra; Erin L Abner; Irina Alafuzoff; Steven E Arnold; Johannes Attems; Thomas G Beach; Eileen H Bigio; Nigel J Cairns; Dennis W Dickson; Marla Gearing; Lea T Grinberg; Patrick R Hof; Bradley T Hyman; Kurt Jellinger; Gregory A Jicha; Gabor G Kovacs; David S Knopman; Julia Kofler; Walter A Kukull; Ian R Mackenzie; Eliezer Masliah; Ann McKee; Thomas J Montine; Melissa E Murray; Janna H Neltner; Ismael Santa-Maria; William W Seeley; Alberto Serrano-Pozo; Michael L Shelanski; Thor Stein; Masaki Takao; Dietmar R Thal; Jonathan B Toledo; Juan C Troncoso; Jean Paul Vonsattel; Charles L White; Thomas Wisniewski; Randall L Woltjer; Masahito Yamada; Peter T Nelson
Journal:  Acta Neuropathol       Date:  2014-10-28       Impact factor: 17.088

7.  MRI-assessed locus coeruleus integrity is heritable and associated with multiple cognitive domains, mild cognitive impairment, and daytime dysfunction.

Authors:  Jeremy A Elman; Olivia K Puckett; Asad Beck; Christine Fennema-Notestine; Latonya K Cross; Anders M Dale; Graham M L Eglit; Lisa T Eyler; Nathan A Gillespie; Eric L Granholm; Daniel E Gustavson; Donald J Hagler; Sean N Hatton; Richard Hauger; Amy J Jak; Mark W Logue; Linda K McEvoy; Ruth E McKenzie; Michael C Neale; Matthew S Panizzon; Chandra A Reynolds; Mark Sanderson-Cimino; Rosemary Toomey; Xin M Tu; Nathan Whitsel; McKenna E Williams; Hong Xian; Michael J Lyons; Carol E Franz; William S Kremen
Journal:  Alzheimers Dement       Date:  2021-02-13       Impact factor: 21.566

8.  Locus coeruleus integrity is related to tau burden and memory loss in autosomal-dominant Alzheimer's disease.

Authors:  Martin J Dahl; Mara Mather; Markus Werkle-Bergner; Briana L Kennedy; Samuel Guzman; Kyle Hurth; Carol A Miller; Yuchuan Qiao; Yonggang Shi; Helena C Chui; John M Ringman
Journal:  Neurobiol Aging       Date:  2021-12-07       Impact factor: 4.673

Review 9.  Peripheral Pathways to Neurovascular Unit Dysfunction, Cognitive Impairment, and Alzheimer's Disease.

Authors:  Amy R Nelson
Journal:  Front Aging Neurosci       Date:  2022-04-18       Impact factor: 5.702

Review 10.  Noradrenaline in the aging brain: Promoting cognitive reserve or accelerating Alzheimer's disease?

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Journal:  Semin Cell Dev Biol       Date:  2021-06-04       Impact factor: 7.499

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