Elsevier

Neurobiology of Aging

Volume 38, February 2016, Pages 82-92
Neurobiology of Aging

Regular article
Distinctive pathological mechanisms involved in primary progressive aphasias

https://doi.org/10.1016/j.neurobiolaging.2015.10.017Get rights and content

Abstract

Primary progressive aphasia (PPA) comprises a heterogeneous group of neurodegenerative conditions that can be classified in three cliniconeuroanatomic syndromes. Limited information exists, however, about patterns of neuropathologic spreading and microscopic changes underpinning each syndrome. We performed an analysis of a longitudinal in vivo cohort and a postmortem PPA cohort to investigate neurodegeneration over time and to quantify microscopic changes in key language brain areas. The longitudinal analyses demonstrated distinctive patterns of topological extension of brain atrophy. Although semantic variant (sv-PPA) showed an eccentric pattern, nonfluent and/or agrammatic (nfv-PPA) and logopenic (lv-PPA) variants showed additional multifocal extension. The quantitative pathology showed that sv-PPA had neuronal loss and thinning in BA 38, whereas nfv-PPA showed thinning in BA 44/45 and evidence of microscopic involvement in BA 40/22. Although lv-PPA showed neuronal loss focused on BA 40/22, imaging results demonstrated widespread left-sided brain atrophy. These analyses provide an account of the pathologic process whereby each variant has stereotypical patterns of brain atrophy extension, which is largely determined by the specific pathologic type.

Introduction

It is well established that the language network can be selectively targeted by neurodegeneration and causes progressive, albeit circumscribed, language deterioration (Mesulam, 1982). This condition, formally known as primary progressive aphasia (PPA) (Mesulam, 2001), can be caused by different pathologies, each of which tends to exhibit specific patterns of linguistic deficits and a characteristic distribution of brain atrophy. Based on the presence of core language and speech deficits, current international consensus criteria propose three clinical variants: semantic (sv-PPA), nonfluent and/or agrammatic (nfv-PPA), and logopenic (lv-PPA) (Gorno-Tempini et al., 2011). Cases with semantic variant display marked anomia and difficulties in recognizing words, objects, people, and tunes, deficits attributed to degradation of semantic representations (Hodges et al., 2010, Hsieh et al., 2011). By contrast, cases with nfv-PPA show preservation of semantic knowledge but effortful speech, loss of prosody, and articulatory errors, all of which result from disruption of motor planning or speech execution (Croot et al., 2012, Josephs et al., 2013b) or, alternatively, present with morphosyntactical deficits and omission of function words leading to agrammatism and oversimplification of language output (Wilson et al., 2010a, Wilson et al., 2010b). In contrast to the other variants, logopenic variant (lv-PPA) cases display relative preservation of semantic representations and motor aspects of speech, but instead they show marked word-finding difficulties, anomia and striking difficulties in sentence repetition (Gorno-Tempini et al., 2004, Gorno-Tempini et al., 2008).

Evidence from neuroimaging studies implicates distinct left hemispheric brain regions as responsible for the core language deficits in each of the variants of PPA. In sv-PPA, the temporal pole (BA 38) is strongly correlated with semantic processing (Mesulam et al., 2009, Mummery et al., 2000). Reduced speech fluency in nfv-PPA is correlated with cortical thinning in the left inferior frontal cortex (BA 44/45) (Gunawardena et al., 2010, Sapolsky et al., 2010, Wilson et al., 2010a, Wilson et al., 2010b). The deficits of impaired naming and reduced sentence repetition in lv-PPA have been correlated with cortical thinning in the supramarginal gyrus (BA 40) and superior temporal gyrus (BA 22), respectively (Leyton et al., 2012). In accordance with these language and neuroanatomic relations, current criteria establish imaging-supported diagnostic findings whereby brain atrophy in each variant tends to be focused on those key anatomic regions (Gorno-Tempini et al., 2011).

Although most sv-PPA cases demonstrate transactive response DNA-binding protein of 43 KDa (TDP-43) positive inclusions (Chare et al., 2014, Harris et al., 2013, Hodges et al., 2010), a large proportion of nfv-PPA cases show tau positive inclusions (Chare et al., 2014, Harris et al., 2013, Josephs et al., 2006), and lv-PPA cases are strongly associated with Alzheimer pathology (Chare et al., 2014, Harris et al., 2013, Mesulam et al., 2008). These clinical, neuroanatomic, and pathologic relations, however, are not strict, and a proportion of cases reveal unexpected associations. The lack of clinicopathologic correlation is particularly problematic in Alzheimer's disease (AD), although present in most lv-PPA cases, it can also be found in the other variants, especially nfv-PPA (Chare et al., 2014, Harris et al., 2013, Mesulam et al., 2014, Mesulam et al., 2008).

It has been argued that a major source of discrepancy stems from the insufficiently specific diagnostic criteria (Sajjadi et al., 2012), but it is possible that a more diffuse pathologic involvement associated with AD causes more pervasive language deficits with less defined and more overlapping linguistic syndromes than those observed in other PPA variants. In keeping with this argument, unclassifiable PPA cases with mixed linguistic deficits are more likely to have Alzheimer pathology (Mesulam et al., 2014, Sajjadi et al., 2014).

Although there have been a number of quantitative imaging studies comparing the PPA variants (Gorno-Tempini et al., 2004, Mesulam et al., 2012, Rohrer et al., 2009, Sapolsky et al., 2010, Wicklund et al., 2014), relatively little is known about the distribution of pathology observed in the three variants of PPA. Quantitative pathology methods could contribute to understanding clinical–pathologic discrepancies, as these methods can detect microscopic changes overlooked by structural imaging methods. Although structural imaging studies estimate the severity of atrophy irrespective of pathologic changes, quantitative pathology provides a direct estimation of neuronal loss by quantifying neuronal densities and cortical thicknesses as well as the anatomic distribution of specific pathologic markers, such as amyloid plaques and neurofibrillary tangles. Another issue hindering our understanding is the progressive nature of neurodegeneration. A clear syndrome-pathologic delineation at onset can become blurred as pathology propagates throughout the language network (Rohrer et al., 2012). The characterization of anatomic changes over time can contribute to deciphering the biological behavior of each variant. Although imaging evidence shows that neurodegeneration gradually erodes the language network irrespective of the specific pathology (Rogalski et al., 2011), pathologic evidence suggests that each pathologic subtype follows a stereotypic pattern of progression (Braak and Braak, 1991, Brettschneider et al., 2014). In view of this conflicting evidence, this study aimed to analyze the pattern of progression of atrophy in a clinical cohort, combined with quantitative pathologic data obtained from a postmortem sample of PPA. As such, our primary goal was to analyze changes in neuronal density and cortical thickness of the core regions affected in each PPA variant. The pathologic study was complemented with the analysis of cortical thickness of those regions in the in vivo cohort. A secondary goal was to track structural changes in the longitudinal cohort to estimate the pattern of progression in each variant.

Section snippets

In vivo cohort

Consecutive participants enrolled at Frontier between July 2008 and September 2014 with clinical diagnosis of primary progressive aphasia (PPA) (Mesulam, 2001) and at least one annual follow-up was selected. Cases were classified in any of the three clinical variants of primary progressive aphasia according to current consensus criteria (Gorno-Tempini et al., 2011) based on a semi-structured language assessment, Primary Progressive Aphasia Scale, detailed elsewhere (Leyton et al., 2011). We

In vivo and postmortem cohorts demographic features

The comparison of demographic features between cohorts demonstrated that the postmortem sv-PPA cohort was older than the corresponding in vivo cohort (t(19) = −2.8, p = 0.012), whereas no differences were found in gender distribution or age between cohorts. The estimated length of symptoms was understandingly longer in the postmortem cohort than in vivo cohort across all PPA variants (sv-PPA in vivo vs. sv-PPA postmortem, t(7.4) = −2.5, p = 0.04; nfv-PPA in vivo vs. nfv-PPA postmortem, t(21)

Discussion

The analyses of in vivo and pathologic cohorts demonstrate certain association between clinical, neuroanatomic and pathologic findings in each PPA variant and support the validity of the current diagnostic schema (Chare et al., 2014, Harris et al., 2013, Leyton et al., 2011, Mesulam et al., 2014, Mesulam et al., 2012, Wicklund et al., 2014). This study also provides novel neurobiological insights that enrich the current knowledge on the progressive aphasias. Of interest, the longitudinal

Conclusion

Our findings revealed that neurodegeneration tends to target distinctive epicenters of the language network, yielding specific aphasic syndromes. Our stereological analysis, however, suggests that pathologic changes in each variant are underpinned by distinctive mechanistic processes, a finding that emphasizes the relevance to understanding the intermediate events between neuronal death and large-scale network destruction (Warren et al., 2012b). Accordingly, our longitudinal imaging analysis

Disclosure statement

The authors have no conflicts of interest to disclose.

Acknowledgements

The authors thank Prof Peter Nestor for his valuable comments on this article. The authors are grateful to the participants and their families for supporting our research. We would like to thank the participants in the FRONTIER brain donor program and Lauren Bartley for coordinating this research program. Human brain tissue was collected by the Sydney Brain Bank, which is supported by Neuroscience Research Australia and the University of New South Wales and the Cambridge Brain Bank which is

References (89)

  • J.P. Lerch et al.

    Cortical thickness analysis examined through power analysis and a population simulation

    Neuroimage

    (2005)
  • M.M. Machulda et al.

    Identification of an atypical variant of logopenic progressive aphasia

    Brain Lang.

    (2013)
  • C.J. Mahoney et al.

    White matter tract signatures of the progressive aphasias

    Neurobiol. Aging

    (2013)
  • J.D. Rohrer et al.

    Progressive logopenic/phonological aphasia: erosion of the language network

    Neuroimage

    (2010)
  • W.W. Seeley et al.

    Neurodegenerative diseases target large-scale human brain networks

    Neuron

    (2009)
  • J.D. Warren et al.

    Disintegrating brain networks: from syndromes to molecular nexopathies

    Neuron

    (2012)
  • J.D. Warren et al.

    Molecular nexopathies: a new paradigm of neurodegenerative disease

    Trends Neurosci.

    (2013)
  • J.L. Whitwell et al.

    Clinical and neuroimaging biomarkers of amyloid-negative logopenic primary progressive aphasia

    Brain Lang.

    (2015)
  • J.L. Whitwell et al.

    Working memory and language network dysfunctions in logopenic aphasia: a task-free fMRI comparison with Alzheimer's dementia

    Neurobiol. Aging

    (2015)
  • S.M. Wilson et al.

    The neural basis of syntactic deficits in primary progressive aphasia

    Brain Lang.

    (2012)
  • J. Zhou et al.

    Predicting regional neurodegeneration from the healthy brain functional connectome

    Neuron

    (2012)
  • J. Acosta-Cabronero et al.

    Atrophy, hypometabolism and white matter abnormalities in semantic dementia tell a coherent story

    Brain

    (2011)
  • S. Ash et al.

    Differentiating primary progressive aphasias in a brief sample of connected speech

    Neurology

    (2013)
  • A.L. Benton et al.

    Multilingual Aphasia Examination. Manual of Instructions

    (1989)
  • H. Braak et al.

    Neuropathological stageing of Alzheimer-related changes

    Acta Neuropathol.

    (1991)
  • J. Brettschneider et al.

    Sequential distribution of pTDP-43 pathology in behavioral variant frontotemporal dementia (bvFTD)

    Acta Neuropathol.

    (2014)
  • L. Chare et al.

    New criteria for frontotemporal dementia syndromes: clinical and pathological diagnostic implications

    J. Neurol. Neurosurg. Psychiatry

    (2014)
  • K. Croot et al.

    Apraxia of speech and phonological errors in the diagnosis of nonfluent/agrammatic and logopenic variants of primary progressive aphasia

    J. Speech Lang. Hear Res.

    (2012)
  • V. Deramecourt et al.

    Prediction of pathology in primary progressive language and speech disorders

    Neurology

    (2010)
  • L.Z. Diaz-de-Grenu et al.

    A brief history of voxel-based grey matter analysis in Alzheimer's disease

    J. Alzheimers Dis.

    (2014)
  • B.C. Dickerson et al.

    The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals

    Cereb. Cortex

    (2009)
  • B. Fischl et al.

    Measuring the thickness of the human cerebral cortex from magnetic resonance images

    Proc Natl Acad Sci USA

    (2000)
  • E.C. Flanagan et al.

    Memory and orientation in the logopenic and nonfluent subtypes of primary progressive aphasia

    J. Alzheimers Dis.

    (2014)
  • S. Galantucci et al.

    White matter damage in primary progressive aphasias: a diffusion tensor tractography study

    Brain

    (2011)
  • T. Gefen et al.

    Clinically concordant variations of Alzheimer pathology in aphasic versus amnestic dementia

    Brain

    (2012)
  • S. Gil-Navarro et al.

    Neuroimaging and biochemical markers in the three variants of primary progressive aphasia

    Dement. Geriatr. Cogn. Disord.

    (2013)
  • T. Gomez-Isla et al.

    Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer’s disease

    J. Neurosci.

    (1996)
  • M.L. Gorno-Tempini et al.

    The logopenic/phonological variant of primary progressive aphasia

    Neurology

    (2008)
  • M.L. Gorno-Tempini et al.

    Cognition and anatomy in three variants of primary progressive aphasia

    Ann. Neurol.

    (2004)
  • M.L. Gorno-Tempini et al.

    Classification of primary progressive aphasia and its variants

    Neurology

    (2011)
  • D. Gunawardena et al.

    Why are patients with progressive nonfluent aphasia nonfluent?

    Neurology

    (2010)
  • J.M. Harris et al.

    Classification and pathology of primary progressive aphasia

    Neurology

    (2013)
  • J.R. Hodges et al.

    Semantic dementia: demography, familial factors and survival in a consecutive series of 100 cases

    Brain

    (2010)
  • S. Hsieh et al.

    Neural basis of music knowledge: evidence from the dementias

    Brain

    (2011)
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