Regular articleDistinctive pathological mechanisms involved in primary progressive aphasias
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)
- et al.
Speech errors in progressive non-fluent aphasia
Brain Lang.
(2010) - et al.
Propagation of tau pathology in a model of early Alzheimer's disease
Neuron
(2012) - et al.
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Neuroimage
(2010) - et al.
The time course of neurolinguistic and neuropsychological symptoms in three cases of logopenic primary progressive aphasia
Neuropsychologia
(2012) - et al.
Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate
Neuroimage
(2002) - et al.
Disruption of large-scale neural networks in non-fluent/agrammatic variant primary progressive aphasia associated with frontotemporal degeneration pathology
Brain Lang.
(2013) - et al.
Identifying severely atrophic cortical subregions in Alzheimer's disease
Neurobiol. Aging
(2003) - et al.
Reproducible sampling regimen for specific cortical regions: application to speech-associated areas
J. Neurosci. Methods
(1996) - et al.
Quantitative neurofibrillary tangle density and brain volumetric MRI analyses in Alzheimer's disease presenting as logopenic progressive aphasia
Brain Lang.
(2013) - et al.
The cerebral cortex is damaged in chronic alcoholics
Neuroscience
(1997)
Cortical thickness analysis examined through power analysis and a population simulation
Neuroimage
Identification of an atypical variant of logopenic progressive aphasia
Brain Lang.
White matter tract signatures of the progressive aphasias
Neurobiol. Aging
Progressive logopenic/phonological aphasia: erosion of the language network
Neuroimage
Neurodegenerative diseases target large-scale human brain networks
Neuron
Disintegrating brain networks: from syndromes to molecular nexopathies
Neuron
Molecular nexopathies: a new paradigm of neurodegenerative disease
Trends Neurosci.
Clinical and neuroimaging biomarkers of amyloid-negative logopenic primary progressive aphasia
Brain Lang.
Working memory and language network dysfunctions in logopenic aphasia: a task-free fMRI comparison with Alzheimer's dementia
Neurobiol. Aging
The neural basis of syntactic deficits in primary progressive aphasia
Brain Lang.
Predicting regional neurodegeneration from the healthy brain functional connectome
Neuron
Atrophy, hypometabolism and white matter abnormalities in semantic dementia tell a coherent story
Brain
Differentiating primary progressive aphasias in a brief sample of connected speech
Neurology
Multilingual Aphasia Examination. Manual of Instructions
Neuropathological stageing of Alzheimer-related changes
Acta Neuropathol.
Sequential distribution of pTDP-43 pathology in behavioral variant frontotemporal dementia (bvFTD)
Acta Neuropathol.
New criteria for frontotemporal dementia syndromes: clinical and pathological diagnostic implications
J. Neurol. Neurosurg. Psychiatry
Apraxia of speech and phonological errors in the diagnosis of nonfluent/agrammatic and logopenic variants of primary progressive aphasia
J. Speech Lang. Hear Res.
Prediction of pathology in primary progressive language and speech disorders
Neurology
A brief history of voxel-based grey matter analysis in Alzheimer's disease
J. Alzheimers Dis.
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
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Proc Natl Acad Sci USA
Memory and orientation in the logopenic and nonfluent subtypes of primary progressive aphasia
J. Alzheimers Dis.
White matter damage in primary progressive aphasias: a diffusion tensor tractography study
Brain
Clinically concordant variations of Alzheimer pathology in aphasic versus amnestic dementia
Brain
Neuroimaging and biochemical markers in the three variants of primary progressive aphasia
Dement. Geriatr. Cogn. Disord.
Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer’s disease
J. Neurosci.
The logopenic/phonological variant of primary progressive aphasia
Neurology
Cognition and anatomy in three variants of primary progressive aphasia
Ann. Neurol.
Classification of primary progressive aphasia and its variants
Neurology
Why are patients with progressive nonfluent aphasia nonfluent?
Neurology
Classification and pathology of primary progressive aphasia
Neurology
Semantic dementia: demography, familial factors and survival in a consecutive series of 100 cases
Brain
Neural basis of music knowledge: evidence from the dementias
Brain
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2024, Journal of Communication DisordersClinical and neuroimaging characteristics of primary progressive aphasia
2022, Handbook of Clinical NeurologyCitation Excerpt :Although these behavioral manifestations are not central to the diagnosis of svPPA, understanding the nature of behavioral change in this variant is essential to comprehensive patient care and family/carer counseling (Macoir et al., 2017). Frontotemporal lobar degeneration trans-activator regulatory DNA binding protein 43 (FTLD-TDP-43) is the most common underlying neuropathology in svPPA (Hodges et al., 2010; Josephs et al., 2011; Rohrer et al., 2011; Mesulam et al., 2014b; Leyton et al., 2016). Less commonly, Alzheimer's disease (AD) pathology (Alladi et al., 2007; Mesulam et al., 2014b) and Pick bodies (Davies et al., 2005) are associated with svPPA.
Visuospatial short-term and working memory disturbance in the primary progressive aphasias: Neuroanatomical and clinical implications
2020, CortexCitation Excerpt :Briefly, performance on verbal short-term memory and working memory tasks (i.e., Digit Span) are disproportionately impaired in lv-PPA and nfv-PPA compared to sv-PPA and AD (Eikelboom et al., 2018; Leyton et al., 2014). From a neuroanatomical perspective, the processing, integration and short-term store of visuospatial material is posited to rely on a network of bilateral posterior temporal and parietal brain structures (Smith & Jonides, 1997; Wager & Smith, 2003; Zimmer, 2008), regions more compromised in lv-PPA and AD than in nfv-PPA and sv-PPA (Gorno-Tempini et al., 2004; Leyton, Britton, Hodges, Halliday, & Kril, 2016). With increasing task difficulty, higher-level visuospatial attentional demands are thought to be subserved by dorsolateral prefrontal structures (Smith & Jonides, 1997; Zimmer, 2008).
Longitudinal flortaucipir ([<sup>18</sup>F]AV-1451) PET uptake in semantic dementia
2020, Neurobiology of AgingThe atrophy pattern in Alzheimer-related PPA is more widespread than that of the frontotemporal lobar degeneration associated variants
2019, NeuroImage: ClinicalCitation Excerpt :On this last point, the default smoothing kernel in the Freesurfer method of 10 mm appears to underestimate the extent of neurodegeneration in AD by giving patchy, and thus non-biological-looking blobs (Fig. 2 and see (Diaz-De-Grenu et al., 2014) for further discussion). In contrast, studies using large smoothing kernels (20 mm FWHM), such as the present study and others (Leyton et al., 2016; Rohrer et al., 2010, 2012) yield confluent areas of cortical thinning. Regarding the whole-brain analyses of the other two groups, svPPA was associated with left worse than right and rostral worse than caudal cortical thinning in the temporal lobes as has been well documented in this syndrome (e.g. Acosta-Cabronero et al., 2011).
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These authors contributed equally to this work.