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      Network degeneration and dysfunction in presymptomatic C9ORF72 expansion carriers

      research-article
      a , * , a , a , a , a , a , b , a , c , a , d , d , d , d , e , a , a , a , a , f
      NeuroImage : Clinical
      Elsevier
      ALS, amyotrophic lateral sclerosis, bvFTD, behavioral variant frontotemporal dementia, FTD, frontotemporal dementia, CDR, Clinical Dementia Rating scale, DMN, default mode network, FA, fractional anisotropy, fMRI, functional MRI, FWE, familywise error, HC, healthy control, ICN, intrinsic connectivity network, IRI, Interpersonal Reactivity Index, MMSE, Mini-Mental State Exam, MND, motor neuron disease, NPI, Neuropsychiatric Inventory, preSxC9, presymptomatic C9ORF72 expansion carriers, SMN, sensorimotor network, TIV, total intracranial volume, ROI, region of interest, VBM, voxel-based morphometry, Frontotemporal dementia, Amyotrophic lateral sclerosis, Functional MRI, Diffusion tensor imaging, Genetics

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          Abstract

          Hexanucleotide repeat expansions in C9ORF72 are the most common known genetic cause of familial and sporadic frontotemporal dementia and amyotrophic lateral sclerosis. Previous work has shown that patients with behavioral variant frontotemporal dementia due to C9ORF72 show salience and sensorimotor network disruptions comparable to those seen in sporadic behavioral variant frontotemporal dementia, but it remains unknown how early in the lifespan these and other changes in brain structure and function arise. To gain insights into this question, we compared 15 presymptomatic carriers (age 43.7 ± 10.2 years, nine females) to matched healthy controls. We used voxel-based morphometry to assess gray matter, diffusion tensor imaging to interrogate white matter tracts, and task-free functional MRI to probe the salience, sensorimotor, default mode, and medial pulvinar thalamus-seeded networks. We further used a retrospective chart review to ascertain psychiatric histories in carriers and their non-carrier family members. Carriers showed normal cognition and behavior despite gray matter volume and brain connectivity deficits that were apparent as early as the fourth decade of life. Gray matter volume deficits were topographically similar though less severe than those in patients with behavioral variant frontotemporal dementia due to C9ORF72, with major foci in cingulate, insula, thalamus, and striatum. Reduced white matter integrity was found in the corpus callosum, cingulum bundles, corticospinal tracts, uncinate fasciculi and inferior longitudinal fasciculi. Intrinsic connectivity deficits were detected in all four networks but most prominent in salience and medial pulvinar thalamus-seeded networks. Carrier and control groups showed comparable relationships between imaging metrics and age, suggesting that deficits emerge during early adulthood. Carriers and non-carrier family members had comparable lifetime histories of psychiatric symptoms. Taken together, the findings suggest that presymptomatic C9ORF72 expansion carriers exhibit functionally compensated brain volume and connectivity deficits that are similar, though less severe, to those reported during the symptomatic phase. The early adulthood emergence of these deficits suggests that they represent aberrant network patterning during development, an early neurodegeneration prodrome, or both.

          Highlights

          • Presymptomatic C9ORF72 expansion carriers have brain connectivity deficits.

          • These deficits may be a developmental lesion rather than early neurodegeneration.

          • Non-carriers and presymptomatic carriers share psychiatric symptomatology.

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          Most cited references19

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          Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey.

          This study presents estimates of lifetime and 12-month prevalence of 14 DSM-III-R psychiatric disorders from the National Comorbidity Survey, the first survey to administer a structured psychiatric interview to a national probability sample in the United States. The DSM-III-R psychiatric disorders among persons aged 15 to 54 years in the noninstitutionalized civilian population of the United States were assessed with data collected by lay interviewers using a revised version of the Composite International Diagnostic Interview. Nearly 50% of respondents reported at least one lifetime disorder, and close to 30% reported at least one 12-month disorder. The most common disorders were major depressive episode, alcohol dependence, social phobia, and simple phobia. More than half of all lifetime disorders occurred in the 14% of the population who had a history of three or more comorbid disorders. These highly comorbid people also included the vast majority of people with severe disorders. Less than 40% of those with a lifetime disorder had ever received professional treatment, and less than 20% of those with a recent disorder had been in treatment during the past 12 months. Consistent with previous risk factor research, it was found that women had elevated rates of affective disorders and anxiety disorders, that men had elevated rates of substance use disorders and antisocial personality disorder, and that most disorders declined with age and with higher socioeconomic status. The prevalence of psychiatric disorders is greater than previously thought to be the case. Furthermore, this morbidity is more highly concentrated than previously recognized in roughly one sixth of the population who have a history of three or more comorbid disorders. This suggests that the causes and consequences of high comorbidity should be the focus of research attention. The majority of people with psychiatric disorders fail to obtain professional treatment. Even among people with a lifetime history of three or more comorbid disorders, the proportion who ever obtain specialty sector mental health treatment is less than 50%. These results argue for the importance of more outreach and more research on barriers to professional help-seeking.
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            Combining spatial extent and peak intensity to test for activations in functional imaging.

            Within the framework of statistical mapping, there are up to now only two tests used to assess the regional significance in functional images. One is based on the magnitude of the foci and tends to detect high intensity signals, while the second is based on the spatial extent of regions defined by a simple thresholding of the statistical map, a test that is more sensitive to extended signals. The aim of this paper is to combine the two tests into a single test that is more sensitive to a wider range of signals. This combined test is based on an analytical approximation of the distribution of these two parameters (size and height) and is applied in the context of statistical maps. The risk of error in noise-only 2D or 3D volumes is assessed under a wide range of experimental conditions obtained by varying both the resolution of the map and the threshold at which clusters are defined. In addition, we have investigated this new test on simulated signals, and applied it to an experimental PET dataset. The experimental risk of error is close to the predicted one, and the overall sensitivity increases when analyzing a volume containing different types of signals.
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              Brain differences in infants at differential genetic risk for late-onset Alzheimer disease: a cross-sectional imaging study.

              Converging evidence suggests brain structure alterations may precede overt cognitive impairment in Alzheimer disease by several decades. Early detection of these alterations holds inherent value for the development and evaluation of preventive treatment therapies. To compare magnetic resonance imaging measurements of white matter myelin water fraction (MWF) and gray matter volume (GMV) in healthy infant carriers and noncarriers of the apolipoprotein E (APOE) ε4 allele, the major susceptibility gene for late-onset AD. Quiet magnetic resonance imaging was performed at an academic research imaging center on 162 healthy, typically developing 2- to 25-month-old infants with no family history of Alzheimer disease or other neurological or psychiatric disorders. Cross-sectional measurements were compared in the APOE ε4 carrier and noncarrier groups. White matter MWF was compared in one hundred sixty-two 2- to 25-month-old sleeping infants (60 ε4 carriers and 102 noncarriers). Gray matter volume was compared in a subset of fifty-nine 6- to 25-month-old infants (23 ε4 carriers and 36 noncarriers), who remained asleep during the scanning session. The carrier and noncarrier groups were matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. Automated algorithms compared regional white matter MWF and GMV in the carrier and noncarrier groups and characterized their associations with age. Infant ε4 carriers had lower MWF and GMV measurements than noncarriers in precuneus, posterior/middle cingulate, lateral temporal, and medial occipitotemporal regions, areas preferentially affected by AD, and greater MWF and GMV measurements in extensive frontal regions and measurements were also significant in the subset of 2- to 6-month-old infants (MWF differences, P < .05, after correction for multiple comparisons; GMV differences, P < .001, uncorrected for multiple comparisons). Infant ε4 carriers also exhibited an attenuated relationship between MWF and age in posterior white matter regions. While our findings should be considered preliminary, this study demonstrates some of the earliest brain changes associated with the genetic predisposition to AD. It raises new questions about the role of APOE in normal human brain development, the extent to which these processes are related to subsequent AD pathology, and whether they could be targeted by AD prevention therapies.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                10 December 2016
                2017
                10 December 2016
                : 14
                : 286-297
                Affiliations
                [a ]University of California, San Francisco, Memory and Aging Center, Department of Neurology, 675 Nelson Rising Lane, MC:1207, San Francisco, CA 94158, USA
                [b ]Stanford University, Department of Psychology, Jordan Hall, 450 Serra Mall, Stanford, CA 94305, USA
                [c ]University of California, San Francisco, Department of Neurology, 675 Nelson Rising Lane, MC: 0444, San Francisco, CA 94158, USA
                [d ]Department of Neurology and Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, 760 Westwood Plaza Los Angeles, CA 90024, USA
                [e ]Mayo Clinic, Department of Neuroscience, Birdsall Research Building 207, 4500 San Pablo Road, Jacksonville, FL 32224, USA
                [f ]University of California, San Francisco, Department of Pathology, 675 Nelson Rising Lane, Suite 140, MC:1207, San Francisco, CA 94158, USA
                Author notes
                [* ]Corresponding author. Suzee.Lee@ 123456ucsf.edu
                Article
                S2213-1582(16)30244-3
                10.1016/j.nicl.2016.12.006
                5349617
                28337409
                2533b29d-8959-42be-9511-b900035014fc
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 23 August 2016
                : 6 December 2016
                : 8 December 2016
                Categories
                Regular Article

                als, amyotrophic lateral sclerosis,bvftd, behavioral variant frontotemporal dementia,ftd, frontotemporal dementia,cdr, clinical dementia rating scale,dmn, default mode network,fa, fractional anisotropy,fmri, functional mri,fwe, familywise error,hc, healthy control,icn, intrinsic connectivity network,iri, interpersonal reactivity index,mmse, mini-mental state exam,mnd, motor neuron disease,npi, neuropsychiatric inventory,presxc9, presymptomatic c9orf72 expansion carriers,smn, sensorimotor network,tiv, total intracranial volume,roi, region of interest,vbm, voxel-based morphometry,frontotemporal dementia,amyotrophic lateral sclerosis,functional mri,diffusion tensor imaging,genetics

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