Longitudinal structural and molecular neuroimaging in agrammatic primary progressive aphasia

The agrammatic variant of primary progressive aphasia affects normal grammatical language production, often occurs with apraxia of speech, and is associated with left frontal abnormalities on cross-sectional neuroimaging studies. We aimed to perform a detailed assessment of longitudinal change on structural and molecular neuroimaging to provide a complete picture of neurodegeneration in these patients, and to determine how patterns of progression compare to patients with isolated apraxia of speech (primary progressive apraxia of speech). We assessed longitudinal structural MRI, diffusion tensor imaging and 18F-fluorodeoxyglucose PET in 11 agrammatic aphasia subjects, 20 primary progressive apraxia of speech subjects, and 62 age and gender-matched controls with two serial assessments. Rates of change in grey matter volume and hypometabolism, and white matter fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity were assessed at the voxel-level and for numerous regions of interest. The greatest rates of grey matter atrophy in agrammatic aphasia were observed in inferior, middle, and superior frontal gyri, premotor and motor cortices, as well as medial temporal lobe, insula, basal ganglia, and brainstem compared to controls. Longitudinal decline in metabolism was observed in the same regions, with additional findings in medial and lateral parietal lobe. Diffusion tensor imaging changes were prominent bilaterally in inferior and middle frontal white matter and superior longitudinal fasciculus, as well as right inferior fronto-occipital fasciculus, superior frontal and precentral white matter. More focal patterns of degeneration of motor and premotor cortex were observed in primary progressive apraxia of speech. Agrammatic aphasia showed greater rates of grey matter atrophy, decline in metabolism, and white matter degeneration compared to primary progressive apraxia of speech in the left frontal lobe, predominantly inferior and middle frontal grey and white matter. Correlations were also assessed between rates of change on neuroimaging and rates of clinical decline. Progression of aphasia correlated with rates of degeneration in frontal and temporal regions within the language network, while progression of parkinsonism and limb apraxia correlated with degeneration of motor cortex and brainstem. These findings demonstrate that disease progression in agrammatic aphasia is associated with widespread neurodegeneration throughout regions of the language network, as well as connecting white matter tracts, but also with progression to regions outside of the language network that are responsible for the development of motor symptoms. The fact that patterns of progression differed from primary progressive apraxia of speech supports the clinical distinction of these syndromes.

[1]  Ramón Leiguarda,et al.  Limb Apraxia: Cortical or Subcortical , 2001, NeuroImage.

[2]  M. Mesulam,et al.  Asymmetry of cortical decline in subtypes of primary progressive aphasia , 2014, Neurology.

[3]  E G Tangalos,et al.  Prevalence of mild cognitive impairment is higher in men , 2010, Neurology.

[4]  Bruce L. Miller,et al.  Anatomical Correlates of Sentence Comprehension and Verbal Working Memory in Neurodegenerative Disease , 2007, The Journal of Neuroscience.

[5]  Clifford R Jack,et al.  Clinical correlates of white matter tract degeneration in progressive supranuclear palsy. , 2011, Archives of neurology.

[6]  B. Miller,et al.  Longitudinal gray matter contraction in three variants of primary progressive aphasia: A tenser-based morphometry study , 2015, NeuroImage: Clinical.

[7]  C. Jack,et al.  Progressive aphasia secondary to Alzheimer disease vs FTLD pathology , 2008, Neurology.

[8]  J. Jankovic,et al.  Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results , 2008, Movement disorders : official journal of the Movement Disorder Society.

[9]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[10]  M. Rossor,et al.  Apraxia in progressive nonfluent aphasia , 2009, Journal of Neurology.

[11]  Jesse A. Brown,et al.  Healthy brain connectivity predicts atrophy progression in non-fluent variant of primary progressive aphasia. , 2016, Brain : a journal of neurology.

[12]  C R Jack,et al.  Gray and white matter water diffusion in the syndromic variants of frontotemporal dementia , 2010, Neurology.

[13]  R. Knight,et al.  Redefining the role of Broca’s area in speech , 2015, Proceedings of the National Academy of Sciences.

[14]  D. Perani,et al.  White matter changes in corticobasal degeneration syndrome and correlation with limb apraxia. , 2008, Archives of neurology.

[15]  Z. Wszolek,et al.  New and reliable MRI diagnosis for progressive supranuclear palsy , 2006, Neurology.

[16]  Maria Luisa Gorno-Tempini,et al.  Patterns of brain atrophy that differentiate corticobasal degeneration syndrome from progressive supranuclear palsy. , 2006, Archives of neurology.

[17]  Murray Grossman,et al.  Sentence comprehension and voxel-based morphometry in progressive nonfluent aphasia, semantic dementia, and nonaphasic frontotemporal dementia , 2008, Journal of Neurolinguistics.

[18]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[19]  Joseph R Duffy,et al.  The Apraxia of Speech Rating Scale: a tool for diagnosis and description of apraxia of speech. , 2014, Journal of communication disorders.

[20]  Jennifer L. Whitwell,et al.  Distinct regional anatomic and functional correlates of neurodegenerative apraxia of speech and aphasia: An MRI and FDG-PET study , 2013, Brain and Language.

[21]  B. Miller,et al.  White matter damage in primary progressive aphasias: a diffusion tensor tractography study. , 2011, Brain : a journal of neurology.

[22]  Jennifer L. Whitwell,et al.  Clinicopathological and imaging correlates of progressive aphasia and apraxia of speech. , 2006, Brain : a journal of neurology.

[23]  A. Turken,et al.  The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses , 2011, Front. Syst. Neurosci..

[24]  V. Pankratz,et al.  The Mayo Clinic Study of Aging: Design and Sampling, Participation, Baseline Measures and Sample Characteristics , 2008, Neuroepidemiology.

[25]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[26]  Shu-Wei Sun,et al.  Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia , 2003, NeuroImage.

[27]  I Litvan,et al.  The FAB: A frontal assessment battery at bedside , 2000, Neurology.

[28]  Brian B. Avants,et al.  Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..

[29]  Maria Luisa Gorno-Tempini,et al.  Clinical, Cognitive and Anatomical Evolution from Nonfluent Progressive Aphasia to Corticobasal Syndrome: A Case Report , 2004, Neurocase.

[30]  Marsel Mesulam,et al.  Primary progressive aphasia: a dementia of the language network , 2013, Dementia & neuropsychologia.

[31]  J. Graff‐Radford,et al.  Parkinsonian motor features distinguish the agrammatic from logopenic variant of primary progressive aphasia. , 2012, Parkinsonism & related disorders.

[32]  Y. Miyashita,et al.  A syntactic specialization for Broca's area. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[33]  C. Jack,et al.  11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment. , 2008, Brain : a journal of neurology.

[34]  J. Gee,et al.  What's in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer's disease, frontotemporal dementia and corticobasal degeneration. , 2003, Brain : a journal of neurology.

[35]  M. Weiner,et al.  Cognition and anatomy in three variants of primary progressive aphasia , 2004, Annals of neurology.

[36]  C. Jack,et al.  Tracking the development of agrammatic aphasia: A tensor-based morphometry study , 2017, Cortex.

[37]  David T. Jones,et al.  Working memory and language network dysfunctions in logopenic aphasia: a task-free fMRI comparison with Alzheimer's dementia , 2015, Neurobiology of Aging.

[38]  Maxime Descoteaux,et al.  Dipy, a library for the analysis of diffusion MRI data , 2014, Front. Neuroinform..

[39]  Clifford R. Jack,et al.  Antemortem MRI based STructural Abnormality iNDex (STAND)-scores correlate with postmortem Braak neurofibrillary tangle stage , 2008, NeuroImage.

[40]  Clifford R. Jack,et al.  Rates of β-amyloid accumulation are independent of hippocampal neurodegeneration , 2014, Neurology.

[41]  C. Jack,et al.  Characterizing a neurodegenerative syndrome: primary progressive apraxia of speech , 2012, Brain : a journal of neurology.

[42]  Gregory Hickok,et al.  The Role of Broca's Area in Sentence Comprehension , 2011, Journal of Cognitive Neuroscience.

[43]  C. Jack,et al.  Voxel-based morphometry in autopsy proven PSP and CBD , 2008, Neurobiology of Aging.

[44]  Emma B. Lewis,et al.  Correction of differential intensity inhomogeneity in longitudinal MR images , 2004, NeuroImage.

[45]  Παρασκευή Ελένη Κουρκούλη Western Aphasia Battery Revised. Μια πιλοτική εφαρμογή του WAB-R σε μη παθολογικό πληθυσμό και σε ασθενείς με άνοια , 2014 .

[46]  A. Budson Chapter 7 – Primary Progressive Aphasia and Apraxia of Speech , 2016 .

[47]  C. Fiebach,et al.  The role of left inferior frontal and superior temporal cortex in sentence comprehension: localizing syntactic and semantic processes. , 2003, Cerebral cortex.

[48]  Robert I. Reid,et al.  Diffusion tensor imaging comparison of progressive supranuclear palsy and corticobasal syndromes. , 2014, Parkinsonism & related disorders.

[49]  J. Cummings,et al.  Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. , 2000, The Journal of neuropsychiatry and clinical neurosciences.

[50]  J. Hodges,et al.  Longitudinal white matter changes in frontotemporal dementia subtypes , 2014, Human brain mapping.

[51]  D W Dickson,et al.  Atrophy of superior cerebellar peduncle in progressive supranuclear palsy , 2003, Neurology.

[52]  B. Miller,et al.  Classification of primary progressive aphasia and its variants , 2011, Neurology.

[53]  Theresa M. Harrison,et al.  Progression of language decline and cortical atrophy in subtypes of primary progressive aphasia , 2011, Neurology.

[54]  M. Mesulam,et al.  The Northwestern Anagram Test: Measuring Sentence Production in Primary Progressive Aphasia , 2009, American journal of Alzheimer's disease and other dementias.

[55]  C. Marsden,et al.  The basal ganglia and apraxia. , 1996, Brain : a journal of neurology.

[56]  Andrew Kertesz,et al.  The evolution and pathology of frontotemporal dementia. , 2005, Brain : a journal of neurology.

[57]  Angela D Friederici,et al.  The language network , 2012, Current Opinion in Neurobiology.

[58]  J. Gunter,et al.  Midbrain atrophy is not a biomarker of progressive supranuclear palsy pathology , 2013, European journal of neurology.

[59]  M. Mesulam,et al.  Slowly progressive aphasia without generalized dementia , 1982, Annals of neurology.

[60]  D. Louis Collins,et al.  Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge , 2015, NeuroImage.

[61]  C. Jack,et al.  Syndromes dominated by apraxia of speech show distinct characteristics from agrammatic PPA , 2013, Neurology.

[62]  H. Mayberg,et al.  Correction of PET Data for Partial Volume Effects in Human Cerebral Cortex by MR Imaging , 1990, Journal of computer assisted tomography.

[63]  Arthur W. Toga,et al.  Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants , 2009, NeuroImage.

[64]  E. Renzi,et al.  The token test: A sensitive test to detect receptive disturbances in aphasics. , 1962, Brain : a journal of neurology.

[65]  Nancy Johnson,et al.  Alzheimer and frontotemporal pathology in subsets of primary progressive aphasia , 2008, Annals of neurology.

[66]  Brian B. Avants,et al.  Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: An illustration in ADNI 3 T MRI data , 2010, NeuroImage.

[67]  David T. Jones,et al.  Classification and clinicoradiologic features of primary progressive aphasia (PPA) and apraxia of speech , 2015, Cortex.

[68]  John J. Peterson,et al.  Probabilistic index: an intuitive non‐parametric approach to measuring the size of treatment effects , 2006, Statistics in medicine.

[69]  D. Hudelson Healthy , 2020, Definitions.

[70]  J. Duffy,et al.  Motor speech disorders associated with primary progressive aphasia , 2014, Aphasiology.

[71]  Robert I. Reid,et al.  The evolution of primary progressive apraxia of speech. , 2014, Brain : a journal of neurology.

[72]  Nick C Fox,et al.  White matter tract signatures of the progressive aphasias , 2013, Neurobiology of Aging.

[73]  R. Ivnik,et al.  An empirically derived short form of the Boston naming test. , 1999, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[74]  C. P. Hughes,et al.  A New Clinical Scale for the Staging of Dementia , 1982, British Journal of Psychiatry.

[75]  Nick C Fox,et al.  Quantitative MRI measurement of superior cerebellar peduncle in progressive supranuclear palsy , 2005, Neurology.