1
|
Riccardi N, Schwen Blackett D, Broadhead A, den Ouden D, Rorden C, Fridriksson J, Bonilha L, Desai RH. A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke. J Cogn Neurosci 2024; 36:2251-2267. [PMID: 39106171 DOI: 10.1162/jocn_a_02236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2024]
Abstract
Understanding the neurobiology of semantic knowledge is a major goal of cognitive neuroscience. Taxonomic and thematic semantic knowledge are represented differently within the brain's conceptual networks, but the specific neural mechanisms remain unclear. Some neurobiological models propose that the anterior temporal lobe is an important hub for taxonomic knowledge, whereas the TPJ is especially involved in the representation of thematic knowledge. However, recent studies have provided divergent evidence. In this context, we investigated the neural correlates of taxonomic and thematic confrontation naming errors in 79 people with aphasia. We used three complementary lesion-symptom mapping (LSM) methods to investigate how structure and function in both spared and impaired brain regions relate to taxonomic and thematic naming errors. Voxel-based LSM mapped brain damage, activation-based LSM mapped BOLD signal in surviving tissue, and network-based LSM mapped white matter subnetwork integrity to error type. Voxel- and network-based lesion symptom mapping provided converging evidence that damage/disruption of the left mid-to-anterior temporal lobe was associated with a greater proportion of thematic naming errors. Activation-based lesion symptom mapping revealed that higher BOLD signal in the left anterior temporal lobe during an in-house naming task was associated with a greater proportion of taxonomic errors on the Philadelphia Naming Test administered outside of the scanner. A lower BOLD signal in the bilateral angular gyrus, precuneus, and right inferior frontal cortex was associated with a greater proportion of taxonomic errors. These findings provide novel evidence that damage to the anterior temporal lobe is especially related to thematic naming errors.
Collapse
|
2
|
Regev TI, Casto C, Hosseini EA, Adamek M, Ritaccio AL, Willie JT, Brunner P, Fedorenko E. Neural populations in the language network differ in the size of their temporal receptive windows. Nat Hum Behav 2024:10.1038/s41562-024-01944-2. [PMID: 39187713 DOI: 10.1038/s41562-024-01944-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/03/2024] [Indexed: 08/28/2024]
Abstract
Despite long knowing what brain areas support language comprehension, our knowledge of the neural computations that these frontal and temporal regions implement remains limited. One important unresolved question concerns functional differences among the neural populations that comprise the language network. Here we leveraged the high spatiotemporal resolution of human intracranial recordings (n = 22) to examine responses to sentences and linguistically degraded conditions. We discovered three response profiles that differ in their temporal dynamics. These profiles appear to reflect different temporal receptive windows, with average windows of about 1, 4 and 6 words, respectively. Neural populations exhibiting these profiles are interleaved across the language network, which suggests that all language regions have direct access to distinct, multiscale representations of linguistic input-a property that may be critical for the efficiency and robustness of language processing.
Collapse
Affiliation(s)
- Tamar I Regev
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Colton Casto
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Program in Speech and Hearing Bioscience and Technology (SHBT), Harvard University, Boston, MA, USA.
- Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA.
| | - Eghbal A Hosseini
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Markus Adamek
- National Center for Adaptive Neurotechnologies, Albany, NY, USA
- Department of Neurosurgery, Washington University School of Medicine, St Louis, MO, USA
| | | | - Jon T Willie
- National Center for Adaptive Neurotechnologies, Albany, NY, USA
- Department of Neurosurgery, Washington University School of Medicine, St Louis, MO, USA
| | - Peter Brunner
- National Center for Adaptive Neurotechnologies, Albany, NY, USA
- Department of Neurosurgery, Washington University School of Medicine, St Louis, MO, USA
- Department of Neurology, Albany Medical College, Albany, NY, USA
| | - Evelina Fedorenko
- Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Program in Speech and Hearing Bioscience and Technology (SHBT), Harvard University, Boston, MA, USA.
| |
Collapse
|
3
|
Ghirelli A, Spinelli EG, Canu E, Basaia S, Castelnovo V, Cecchetti G, Sibilla E, Domi T, Magnani G, Caso F, Caroppo P, Prioni S, Villa C, Rossi G, Tremolizzo L, Appollonio I, Verde F, Ticozzi N, Silani V, Filippi M, Agosta F. Clinical and neuroanatomical characterization of the semantic behavioral variant of frontotemporal dementia in a multicenter Italian cohort. J Neurol 2024; 271:4203-4215. [PMID: 38597943 PMCID: PMC11233398 DOI: 10.1007/s00415-024-12338-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/19/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Semantic behavioral variant frontotemporal dementia (sbvFTD) is a neurodegenerative condition presenting with specific behavioral and semantic derangements and predominant atrophy of the right anterior temporal lobe (ATL). The objective was to evaluate clinical, neuropsychological, neuroimaging, and genetic features of an Italian sbvFTD cohort, defined according to recently proposed guidelines, compared to semantic variant primary progressive aphasia (svPPA) and behavioral variant FTD (bvFTD) patients. METHODS Fifteen sbvFTD, sixty-three bvFTD, and twenty-five svPPA patients and forty controls were enrolled. Patients underwent clinical, cognitive evaluations, and brain MRI. Symptoms of bvFTD patients between onset and first visit were retrospectively recorded and classified as early and late. Grey matter atrophy was investigated using voxel-based morphometry. RESULTS sbvFTD experienced early criteria-specific symptoms: world, object and person-specific semantic loss (67%), complex compulsions and rigid thought (60%). Sequentially, more behavioral symptoms emerged (apathy/inertia, loss of empathy) along with non-criteria-specific symptoms (anxiety, suspiciousness). sbvFTD showed sparing of attentive/executive functions, especially compared to bvFTD and better language functions compared to svPPA. All sbvFTD patients failed at the famous face recognition test and more than 80% failed in understanding written metaphors and humor. At MRI, sbvFTD had predominant right ATL atrophy, almost specular to svPPA. Three sbvFTD patients presented pathogenic genetic variants. CONCLUSION We replicated the application of sbvFTD diagnostic guidelines in an independent Italian cohort, demonstrating that the presence of person-specific semantic knowledge loss and mental rigidity, along with preserved executive functions and a predominant right ATL atrophy with sparing of frontal lobes, should prompt a diagnosis of sbvFTD.
Collapse
Affiliation(s)
- Alma Ghirelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Edoardo Gioele Spinelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Veronica Castelnovo
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Giordano Cecchetti
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Sibilla
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Teuta Domi
- Experimental Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giuseppe Magnani
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Caso
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Caroppo
- Unit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Sara Prioni
- Unit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Cristina Villa
- Unit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giacomina Rossi
- Unit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Lucio Tremolizzo
- Neurology Unit, "San Gerardo" Hospital and University of Milano-Bicocca, Monza, Italy
| | - Ildebrando Appollonio
- Neurology Unit, "San Gerardo" Hospital and University of Milano-Bicocca, Monza, Italy
| | - Federico Verde
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- "Dino Ferrari" Center, Department of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- "Dino Ferrari" Center, Department of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- "Dino Ferrari" Center, Department of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| |
Collapse
|
4
|
Swamy A, Goswami SP. Appraising Linguistic and Reading Impairments in Kannada-Speaking Persons With Central Alexia. Cureus 2024; 16:e63437. [PMID: 39077278 PMCID: PMC11284617 DOI: 10.7759/cureus.63437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2024] [Indexed: 07/31/2024] Open
Abstract
INTRODUCTION Alexia is an acquired condition resulting in impaired abilities to comprehend and/or read aloud written scripts secondary to lesions in the brain involved in reading processes. Just as how linguistic aspects are multi-faceted in persons with aphasia (PWAs), the reading impairments also vary extensively across each PWA depending on the type and nature of the language deficits. Each language has its unique linguistic properties. Whether the impairment is in the spoken form or written form, the dissociations in both aspects across the linguistic distinctions are paramount. Given the diverse orthographic features of Kannada, alongside inquiries into the impairment in oral language skills among individuals with acquired reading difficulties, the study emphasizes distinguishing the concurrent language processes associated with reading impairment. AIM The study aimed to explore the relationship between spoken language and reading abilities in Kannada-speaking post-stroke survivors with acquired alexia. METHOD The study recruited 15 Kannada-speaking adults with complaints of reading impairment post-ictus through convenient sampling. The enrolled participants included both males and females with a mean age of 42.2 years (SD=15.58; range=20-68) with 16 years of formal education. The study performed three primary investigations; a) linguistic, b) oral reading, and c) reading comprehension. Linguistic tasks entailed semantics, syntax, and phonological tasks. Oral reading entailed real word and non-word reading tasks. Reading comprehension tasks entailed single-word level, sentence-level, and paragraph-level tasks. RESULTS Results of overall domain performance across linguistics, oral reading, and reading comprehension revealed superior performance in linguistics (M=71.77, SD=19.18) followed by reading comprehension (M=70.55, SD=24.10) and oral reading (M=41.55, SD=24.66), which was significant (p<0.05). Performance in phonology was weakest (M=58.06, SD=12.44) compared to syntax (M=71.13) and semantics (M=85.33) on comparing PWAs' abilities within the linguistic domain. Reading abilities were compared across oral reading and reading comprehension, which significantly varied (p<0.05), and reading comprehension abilities were superior (M=72.65, SD=24.10). Task-specific variabilities were significant (p<0.05) in both oral reading and reading comprehension, wherein, real word reading (M=58.22) and comprehension at a single level (M=80.22) were better performed. Results of correlation analysis revealed semantics (r=0.494, p<0.05) and phonology (r=0.428, p>0.05) were highly positively correlated to oral reading abilities. Syntax (r=0.412, p>0.05), and semantics (r=0.377, p>0.05) were strongly positively correlated to reading comprehension abilities. CONCLUSION The study has convincingly shown that performance on reading-related tasks reflects the functionality of central semantic, phonological, and syntactic processing elements. The literate adults routinely interact with both spoken and written language and a comprehensive assessment framework of language processing must encompass both modalities (linguistic and reading) for individuals with alexia, specific to Indian languages. Owing to the transparent writing system of the Kannada language, a multimodal phonological and lexical-based reading treatment may prove to be beneficial in remediating reading impairments among adult post-stroke survivors.
Collapse
Affiliation(s)
- Akshaya Swamy
- Department of Speech and Hearing, Father Muller College, Mangalore, IND
| | - Sathyapal Puri Goswami
- Deaprtment of Speech Language Pathology, All India Institute of Speech and Hearing, Mysuru, IND
| |
Collapse
|
5
|
Santi GC, Conca F, Esposito V, Polito C, Caminiti SP, Boccalini C, Morinelli C, Berti V, Mazzeo S, Bessi V, Marcone A, Iannaccone S, Kim SK, Sorbi S, Perani D, Cappa SF, Catricalà E. Heterogeneity and overlap in the continuum of linguistic profile of logopenic and semantic variants of primary progressive aphasia: a Profile Analysis based on Multidimensional Scaling study. Alzheimers Res Ther 2024; 16:49. [PMID: 38448894 PMCID: PMC10918940 DOI: 10.1186/s13195-024-01403-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND Primary progressive aphasia (PPA) diagnostic criteria underestimate the complex presentation of semantic (sv) and logopenic (lv) variants, in which symptoms partially overlap, and mixed clinical presentation (mixed-PPA) and heterogenous profile (lvPPA +) are frequent. Conceptualization of similarities and differences of these clinical conditions is still scarce. METHODS Lexical, semantic, phonological, and working memory errors from nine language tasks of sixty-seven PPA were analyzed using Profile Analysis based on Multidimensional Scaling, which allowed us to create a distributed representation of patients' linguistic performance in a shared space. Patients had been studied with [18F] FDG-PET. Correlations were performed between metabolic and behavioral data. RESULTS Patients' profiles were distributed across a continuum. All PPA, but two, presented a lexical retrieval impairment, in terms of reduced production of verbs and nouns. svPPA patients occupied a fairly clumped space along the continuum, showing a preponderant semantic deficit, which correlated to fusiform gyrus hypometabolism, while only few presented working memory deficits. Adjacently, lvPPA + presented a semantic impairment combined with phonological deficits, which correlated with metabolism in the anterior fusiform gyrus and posterior middle temporal gyrus. Starting from the shared phonological deficit side, a large portion of the space was occupied by all lvPPA, showing a combination of phonological, lexical, and working memory deficits, with the latter correlating with posterior temporo-parietal hypometabolism. Mixed PPA did not show unique profile, distributing across the space. DISCUSSION Different clinical PPA entities exist but overlaps are frequent. Identifying shared and unique clinical markers is critical for research and clinical practice. Further research is needed to identify the role of genetic and pathological factors in such distribution, including also higher sample size of less represented groups.
Collapse
Affiliation(s)
- Gaia Chiara Santi
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy
| | | | | | | | | | | | - Carmen Morinelli
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Valentina Berti
- Department of Biomedical Experimental and Clinical Sciences, University of Florence, Florence, Italy
| | - Salvatore Mazzeo
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Valentina Bessi
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Alessandra Marcone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Se-Kang Kim
- Department of Paediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Stefano F Cappa
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy.
- IRCCS Mondino Foundation, Pavia, Italy, Pavia, Italy.
| | - Eleonora Catricalà
- IUSS Cognitive Neuroscience (ICoN) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy
| |
Collapse
|
6
|
Satake T, Taki A, Kasahara K, Yoshimaru D, Tsurugizawa T. Comparison of local activation, functional connectivity, and structural connectivity in the N-back task. Front Neurosci 2024; 18:1337976. [PMID: 38516310 PMCID: PMC10955471 DOI: 10.3389/fnins.2024.1337976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/16/2024] [Indexed: 03/23/2024] Open
Abstract
The N-back task is widely used to investigate working memory. Previous functional magnetic resonance imaging (fMRI) studies have shown that local brain activation depends on the difficulty of the N-back task. Recently, changes in functional connectivity and local activation during a task, such as a single-hand movement task, have been reported to give the distinct information. However, previous studies have not investigated functional connectivity changes in the entire brain during N-back tasks. In this study, we compared alterations in functional connectivity and local activation related to the difficulty of the N-back task. Because structural connectivity has been reported to be associated with local activation, we also investigated the relationship between structural connectivity and accuracy in a N-back task using diffusion tensor imaging (DTI). Changes in functional connectivity depend on the difficulty of the N-back task in a manner different from local activation, and the 2-back task is the best method for investigating working memory. This indicates that local activation and functional connectivity reflect different neuronal events during the N-back task. The top 10 structural connectivities associated with accuracy in the 2-back task were locally activated during the 2-back task. Therefore, structural connectivity as well as fMRI will be useful for predicting the accuracy of the 2-back task.
Collapse
Affiliation(s)
- Takatoshi Satake
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
- Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Japan
| | - Ai Taki
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Daisuke Yoshimaru
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan
| |
Collapse
|
7
|
Kawles A, Keszycki R, Minogue G, Zouridakis A, Ayala I, Gill N, Macomber A, Lubbat V, Coventry C, Rogalski E, Weintraub S, Mao Q, Flanagan ME, Zhang H, Castellani R, Bigio EH, Mesulam MM, Geula C, Gefen T. Phenotypically concordant distribution of pick bodies in aphasic versus behavioral dementias. Acta Neuropathol Commun 2024; 12:31. [PMID: 38389095 PMCID: PMC10885488 DOI: 10.1186/s40478-024-01738-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
Pick's disease (PiD) is a subtype of the tauopathy form of frontotemporal lobar degeneration (FTLD-tau) characterized by intraneuronal 3R-tau inclusions. PiD can underly various dementia syndromes, including primary progressive aphasia (PPA), characterized by an isolated and progressive impairment of language and left-predominant atrophy, and behavioral variant frontotemporal dementia (bvFTD), characterized by progressive dysfunction in personality and bilateral frontotemporal atrophy. In this study, we investigated the neocortical and hippocampal distributions of Pick bodies in bvFTD and PPA to establish clinicopathologic concordance between PiD and the salience of the aphasic versus behavioral phenotype. Eighteen right-handed cases with PiD as the primary pathologic diagnosis were identified from the Northwestern University Alzheimer's Disease Research Center brain bank (bvFTD, N = 9; PPA, N = 9). Paraffin-embedded sections were stained immunohistochemically with AT8 to visualize Pick bodies, and unbiased stereological analysis was performed in up to six regions bilaterally [middle frontal gyrus (MFG), superior temporal gyrus (STG), inferior parietal lobule (IPL), anterior temporal lobe (ATL), dentate gyrus (DG) and CA1 of the hippocampus], and unilateral occipital cortex (OCC). In bvFTD, peak neocortical densities of Pick bodies were in the MFG, while the ATL was the most affected in PPA. Both the IPL and STG had greater leftward pathology in PPA, with the latter reaching significance (p < 0.01). In bvFTD, Pick body densities were significantly right-asymmetric in the STG (p < 0.05). Hippocampal burden was not clinicopathologically concordant, as both bvFTD and PPA cases demonstrated significant hippocampal pathology compared to neocortical densities (p < 0.0001). Inclusion-to-neuron analyses in a subset of PPA cases confirmed that neurons in the DG are disproportionately burdened with inclusions compared to neocortical areas. Overall, stereological quantitation suggests that the distribution of neocortical Pick body pathology is concordant with salient clinical features unique to PPA vs. bvFTD while raising intriguing questions about the selective vulnerability of the hippocampus to 3R-tauopathies.
Collapse
Affiliation(s)
- Allegra Kawles
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rachel Keszycki
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Grace Minogue
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Antonia Zouridakis
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ivan Ayala
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Nathan Gill
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alyssa Macomber
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Vivienne Lubbat
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily Rogalski
- Department of Neurology, University of Chicago School of Medicine, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Qinwen Mao
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Margaret E Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hui Zhang
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rudolph Castellani
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Eileen H Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Cell and Developmental Biology, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
- Department of Psychiatry & Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| |
Collapse
|
8
|
Nevler N, Cho S, Cousins KAQ, Ash S, Olm CA, Shellikeri S, Agmon G, Gonzalez-Recober C, Xie SX, Barker MS, Manoochehri M, Mcmillan CT, Irwin DJ, Massimo L, Dratch L, Cheran G, Huey ED, Cosentino SA, Van Deerlin VM, Liberman MY, Grossman M. Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration. Neurology 2024; 102:e207926. [PMID: 38165329 DOI: 10.1212/wnl.0000000000207926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical trials developing therapeutics for frontotemporal degeneration (FTD) focus on pathogenic variant carriers at preclinical stages. Objective, quantitative clinical assessment tools are needed to track stability and delayed disease onset. Natural speech can serve as an accessible, cost-effective assessment tool. We aimed to identify early changes in the natural speech of FTD pathogenic variant carriers before they become symptomatic. METHODS In this cohort study, speech samples of picture descriptions were collected longitudinally from healthy participants in observational studies at the University of Pennsylvania and Columbia University between 2007 and 2020. Participants were asymptomatic but at risk for familial FTD. Status as "carrier" or "noncarrier" was based on screening for known pathogenic variants in the participant's family. Thirty previously validated digital speech measures derived from automatic speech processing pipelines were selected a priori based on previous studies in patients with FTD and compared between asymptomatic carriers and noncarriers cross-sectionally and longitudinally. RESULTS A total of 105 participants, all asymptomatic, included 41 carriers: 12 men [30%], mean age 43 ± 13 years; education, 16 ± 2 years; MMSE 29 ± 1; and 64 noncarriers: 27 men [42%]; mean age, 48 ± 14 years; education, 15 ± 3 years; MMSE 29 ± 1. We identified 4 speech measures that differed between carriers and noncarriers at baseline: mean speech segment duration (mean difference -0.28 seconds, 95% CI -0.55 to -0.02, p = 0.04); word frequency (mean difference 0.07, 95% CI 0.008-0.14, p = 0.03); word ambiguity (mean difference 0.02, 95% CI 0.0008-0.05, p = 0.04); and interjection count per 100 words (mean difference 0.33, 95% CI 0.07-0.59, p = 0.01). Three speech measures deteriorated over time in carriers only: particle count per 100 words per month (β = -0.02, 95% CI -0.03 to -0.004, p = 0.009); total narrative production time in seconds per month (β = -0.24, 95% CI -0.37 to -0.12, p < 0.001); and total number of words per month (β = -0.48, 95% CI -0.78 to -0.19, p = 0.002) including in 3 carriers who later converted to symptomatic disease. DISCUSSION Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical outcome assessment tool in FTD, where objective and quantifiable measures for abnormal behavior and language are lacking.
Collapse
Affiliation(s)
- Naomi Nevler
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sunghye Cho
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Katheryn A Q Cousins
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon Ash
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Christopher A Olm
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sanjana Shellikeri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Galit Agmon
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Carmen Gonzalez-Recober
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon X Xie
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Megan S Barker
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Masood Manoochehri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Corey T Mcmillan
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - David J Irwin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Lauren Massimo
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Laynie Dratch
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Gayathri Cheran
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Edward D Huey
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Stephanie A Cosentino
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Vivianna M Van Deerlin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Mark Y Liberman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Murray Grossman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| |
Collapse
|
9
|
Dai Z, Song L, Luo C, Liu D, Li M, Han Z. Hemispheric lateralization of language processing: insights from network-based symptom mapping and patient subgroups. Cereb Cortex 2024; 34:bhad437. [PMID: 38031356 DOI: 10.1093/cercor/bhad437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
The hemispheric laterality of language processing has become a hot topic in modern neuroscience. Although most previous studies have reported left-lateralized language processing, other studies found it to be bilateral. A previous neurocomputational model has proposed a unified framework to explain that the above discrepancy might be from healthy and patient individuals. This model posits an initial symmetry but imbalanced capacity in language processing for healthy individuals, with this imbalance contributing to language recovery disparities following different hemispheric injuries. The present study investigated this model by analyzing the lateralization patterns of language subnetworks across multiple attributes with a group of 99 patients (compared to nonlanguage processing) and examining the lateralization patterns of language subnetworks in subgroups with damage to different hemispheres. Subnetworks were identified using a whole-brain network-based lesion-symptom mapping method, and the lateralization index was quantitatively measured. We found that all the subnetworks in language processing were left-lateralized, while subnetworks in nonlanguage processing had different lateralization patterns. Moreover, diverse hemisphere-injury subgroups exhibited distinct language recovery effects. These findings provide robust support for the proposed neurocomputational model of language processing.
Collapse
Affiliation(s)
- Zhiyun Dai
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Luping Song
- Shenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
| | - Chongjing Luo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Di Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Mingyang Li
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Yuquan Campus, Hangzhou 310027, China
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
10
|
Akhmadullina DR, Konovalov RN, Shpilyukova YA, Fedotova EY, Illarioshkin SN. Anomia: Deciphering Functional Neuroanatomy in Primary Progressive Aphasia Variants. Brain Sci 2023; 13:1703. [PMID: 38137151 PMCID: PMC10741652 DOI: 10.3390/brainsci13121703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/12/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
Naming decline is one of the most common symptoms of primary progressive aphasia (PPA). Most studies on anomia in PPA are performed without taking into account PPA variants, especially for action naming. Only limited data are available for the neuroanatomical basis of anomia considering differences in the pathogenesis of PPAs. The aim of our study is to investigate the associations between anomia severity for both noun and verb naming and gray matter (GM) atrophy, as well as accompanying functional connectivity (FC) changes in three PPA variants. A total of 17 patients with non-fluent (nfvPPA), 11 with semantic (svPPA), and 9 with logopenic (lvPPA) PPA variants were included in the study and underwent cognitive/naming assessments and brain MRIs. Voxel-based morphometry was performed to evaluate GM volume. A resting-state functional MRI was applied to investigate FC changes in the identified GM areas. The study shows that different brain regions are involved in naming decline in each PPA variant with a predominantly temporal lobe involvement in svPPA, parietal lobe involvement in lvPPA, and frontal lobe involvement in nfvPPA. Separate data for object and action naming in PPA variants are provided. The obtained results mainly correspond to the current understanding of language processing and indicate that the evaluation of language impairments is preferable for each PPA variant separately. A further analysis of larger cohorts of patients is necessary to confirm these preliminary results.
Collapse
|
11
|
Sasaki T, Makris N, Shenton ME, Savadjiev P, Rathi Y, Eckbo R, Bouix S, Yeterian E, Dickerson BC, Kubicki M. Structural connectivity of cytoarchitectonically distinct human left temporal pole subregions: a diffusion MRI tractography study. Front Neuroanat 2023; 17:1240545. [PMID: 38090110 PMCID: PMC10713846 DOI: 10.3389/fnana.2023.1240545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/09/2023] [Indexed: 02/01/2024] Open
Abstract
The temporal pole (TP) is considered one of the major paralimbic cortical regions, and is involved in a variety of functions such as sensory perception, emotion, semantic processing, and social cognition. Based on differences in cytoarchitecture, the TP can be further subdivided into smaller regions (dorsal, ventrolateral and ventromedial), each forming key nodes of distinct functional networks. However, the brain structural connectivity profile of TP subregions is not fully clarified. Using diffusion MRI data in a set of 31 healthy subjects, we aimed to elucidate the comprehensive structural connectivity of three cytoarchitectonically distinct TP subregions. Diffusion tensor imaging (DTI) analysis suggested that major association fiber pathways such as the inferior longitudinal, middle longitudinal, arcuate, and uncinate fasciculi provide structural connectivity to the TP. Further analysis suggested partially overlapping yet still distinct structural connectivity patterns across the TP subregions. Specifically, the dorsal subregion is strongly connected with wide areas in the parietal lobe, the ventrolateral subregion with areas including constituents of the default-semantic network, and the ventromedial subregion with limbic and paralimbic areas. Our results suggest the involvement of the TP in a set of extensive but distinct networks of cortical regions, consistent with its functional roles.
Collapse
Affiliation(s)
- Takeshi Sasaki
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
- Department of Psychiatry and Behavioral Sciences, Tokyo Medical and Dental University Graduate School, Tokyo, Japan
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Peter Savadjiev
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Ryan Eckbo
- Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Software Engineering and Information Technology, École de Technologie Supérieure, Montréal, QC, Canada
| | - Edward Yeterian
- Department of Psychology, Colby College, Waterville, ME, United States
| | - Bradford C. Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| |
Collapse
|
12
|
Papanicolaou AC. Non-Invasive Mapping of the Neuronal Networks of Language. Brain Sci 2023; 13:1457. [PMID: 37891824 PMCID: PMC10605023 DOI: 10.3390/brainsci13101457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/13/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
This review consists of three main sections. In the first, the Introduction, the main theories of the neuronal mediation of linguistic operations, derived mostly from studies of the effects of focal lesions on linguistic performance, are summarized. These models furnish the conceptual framework on which the design of subsequent functional neuroimaging investigations is based. In the second section, the methods of functional neuroimaging, especially those of functional Magnetic Resonance Imaging (fMRI) and of Magnetoencephalography (MEG), are detailed along with the specific activation tasks employed in presurgical functional mapping. The reliability of these non-invasive methods and their validity, judged against the results of the invasive methods, namely, the "Wada" procedure and Cortical Stimulation Mapping (CSM), is assessed and their use in presurgical mapping is justified. In the third and final section, the applications of fMRI and MEG in basic research are surveyed in the following six sub-sections, each dealing with the assessment of the neuronal networks for (1) the acoustic and phonological, (2) for semantic, (3) for syntactic, (4) for prosodic operations, (5) for sign language and (6) for the operations of reading and the mechanisms of dyslexia.
Collapse
Affiliation(s)
- Andrew C Papanicolaou
- Department of Pediatrics, Division of Pediatric Neurology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38013, USA
| |
Collapse
|
13
|
Ohm DT, Rhodes E, Bahena A, Capp N, Lowe M, Sabatini P, Trotman W, Olm CA, Phillips J, Prabhakaran K, Rascovsky K, Massimo L, McMillan C, Gee J, Tisdall MD, Yushkevich PA, Lee EB, Grossman M, Irwin DJ. Neuroanatomical and cellular degeneration associated with a social disorder characterized by new ritualistic belief systems in a TDP-C patient vs. a Pick patient. Front Neurol 2023; 14:1245886. [PMID: 37900607 PMCID: PMC10600461 DOI: 10.3389/fneur.2023.1245886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/15/2023] [Indexed: 10/31/2023] Open
Abstract
Frontotemporal dementia (FTD) is a spectrum of clinically and pathologically heterogenous neurodegenerative dementias. Clinical and anatomical variants of FTD have been described and associated with underlying frontotemporal lobar degeneration (FTLD) pathology, including tauopathies (FTLD-tau) or TDP-43 proteinopathies (FTLD-TDP). FTD patients with predominant degeneration of anterior temporal cortices often develop a language disorder of semantic knowledge loss and/or a social disorder often characterized by compulsive rituals and belief systems corresponding to predominant left or right hemisphere involvement, respectively. The neural substrates of these complex social disorders remain unclear. Here, we present a comparative imaging and postmortem study of two patients, one with FTLD-TDP (subtype C) and one with FTLD-tau (subtype Pick disease), who both developed new rigid belief systems. The FTLD-TDP patient developed a complex set of values centered on positivity and associated with specific physical and behavioral features of pigs, while the FTLD-tau patient developed compulsive, goal-directed behaviors related to general themes of positivity and spirituality. Neuroimaging showed left-predominant temporal atrophy in the FTLD-TDP patient and right-predominant frontotemporal atrophy in the FTLD-tau patient. Consistent with antemortem cortical atrophy, histopathologic examinations revealed severe loss of neurons and myelin predominantly in the anterior temporal lobes of both patients, but the FTLD-tau patient showed more bilateral, dorsolateral involvement featuring greater pathology and loss of projection neurons and deep white matter. These findings highlight that the regions within and connected to anterior temporal lobes may have differential vulnerability to distinct FTLD proteinopathies and serve important roles in human belief systems.
Collapse
Affiliation(s)
- Daniel T. Ohm
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Emma Rhodes
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Alejandra Bahena
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Noah Capp
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - MaKayla Lowe
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Philip Sabatini
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Winifred Trotman
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Karthik Prabhakaran
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Corey McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - James Gee
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - M. Dylan Tisdall
- Center for Advanced Magnetic Resonance Imaging and Spectroscopy, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Paul A. Yushkevich
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B. Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - David J. Irwin
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
14
|
Polito C, Conca F, Santi GC, Esposito V, Caminiti SP, Boccalini C, Berti V, Morinelli C, Mazzeo S, Marcone A, Iannaccone S, Bessi V, Sorbi S, Perani D, Cappa SF, Catricalà E. Comparing two picture naming tasks in primary progressive aphasia: Insights from behavioural and neural results. Cortex 2023; 166:1-18. [PMID: 37295234 DOI: 10.1016/j.cortex.2023.04.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 02/24/2023] [Accepted: 04/26/2023] [Indexed: 06/12/2023]
Abstract
Picture naming tests are widely used to evaluate language impairments in neurodegenerative diseases, especially in Primary Progressive Aphasia (PPA). The available tests differ for many factors affecting the performance, e.g. format of stimuli and their psycholinguistic properties. We aim to identify the most appropriate naming test to be used on PPA according to the clinical and research demands. We investigated the behavioural characteristics, i.e. proportion of correct responses and error type, and their neural correlates in two Italian naming tests, CaGi naming (CaGi) and naming subtest of the Screening for Aphasia in NeuroDegeneration battery (SAND), administered to 52 PPA patients who underwent an FDG-PET scan. We analysed the effectiveness of the tests in distinguishing PPA versus controls and among PPA variants, considering the psycholinguistic variables affecting performance. We explored the brain metabolic correlates of behavioural performance in the tests. SAND, differently from CaGi, has time limits for the response and its items are less frequent and acquired later. SAND and CaGi differed in terms of number of correct responses and error profile, suggesting a higher difficulty to name SAND items compared to CaGi. Semantic errors predominated in CaGi, while anomic and semantic errors were equally frequent in SAND. Both tests distinguished PPA from controls, but SAND outperformed CaGi in discriminating among PPA variants. FDG-PET imaging revealed a shared metabolic involvement of temporal areas associated with lexico-semantic processing, encompassing anterior fusiform, temporal pole, and extending to posterior fusiform in sv-PPA. Concluding, a picture naming test with response time limit and items which are less frequent and acquired later in life, as SAND, may be effective at highlighting subtle distinctions between PPA variants, improving the diagnosis. Conversely, a naming test without time limit for the response, as CaGi, may be useful for a better characterization of the nature of the naming impairment at the behavioural level, eliciting more naming errors than anomia, possibly helping in the development of rehabilitation protocols.
Collapse
Affiliation(s)
| | | | - Gaia C Santi
- ICoN Cognitive Neuroscience Center, Institute for Advanced Studies, IUSS, Pavia, Italy
| | | | - Silvia P Caminiti
- Vita-Salute San Raffaele University, 20132, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, 20132, Milan, Italy
| | - Cecilia Boccalini
- Vita-Salute San Raffaele University, 20132, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy
| | - Valentina Berti
- Nuclear Medicine, Department of Biomedical Experimental and Clinical Sciences "Mario Serio", University of Florence, Italy
| | - Carmen Morinelli
- SOD Neurologia 1, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, Azienda Ospedaliera-Universitaria Careggi, Florence, Italy
| | - Salvatore Mazzeo
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy; NEUROFARBA, Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Alessandra Marcone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | - Valentina Bessi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy; SOD Neurologia 1, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, Azienda Ospedaliera-Universitaria Careggi, Florence, Italy; NEUROFARBA, Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy; SOD Neurologia 1, Dipartimento Neuromuscolo-Scheletrico e Degli Organi di Senso, Azienda Ospedaliera-Universitaria Careggi, Florence, Italy; NEUROFARBA, Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, 20132, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, San Raffaele Scientific Institute, 20132, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, 20132, Milan, Italy
| | - Stefano F Cappa
- IRCCS Mondino Foundation, Pavia, Italy; ICoN Cognitive Neuroscience Center, Institute for Advanced Studies, IUSS, Pavia, Italy.
| | - Eleonora Catricalà
- ICoN Cognitive Neuroscience Center, Institute for Advanced Studies, IUSS, Pavia, Italy
| |
Collapse
|
15
|
Thomas G, McMahon KL, Finch E, Copland DA. Interindividual variability and consistency of language mapping paradigms for presurgical use. BRAIN AND LANGUAGE 2023; 243:105299. [PMID: 37413742 DOI: 10.1016/j.bandl.2023.105299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 04/08/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023]
Abstract
Most functional MRI studies of language processing have focussed on group-level inference, but for clinical use, the aim is to predict outcomes at an individual patient level. This requires being able to identify atypical activation and understand how differences relate to language outcomes. A language mapping paradigm that selectively activates left hemisphere language regions in healthy individuals allows atypical activation in a patient to be more easily identified. We investigated the interindividual variability and consistency of language activation in 12 healthy participants using three tasks-verb generation, responsive naming, and sentence comprehension-for future presurgical use. Responsive naming produced the most consistent left-lateralised activation across participants in frontal and temporal regions that postsurgical voxel-based lesion-symptom mapping studies suggest are most critical for language outcomes. Studies with a long-term clinical aim of predicting language outcomes in neurosurgical patients and stroke patients should first establish paradigm validity at an individual level in healthy participants.
Collapse
Affiliation(s)
- Georgia Thomas
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
| | - Katie L McMahon
- School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia; Herston Imaging Research Facility, The University of Queensland, Brisbane, Australia
| | - Emma Finch
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Research and Innovation, West Moreton Health, Ipswich, Australia; Speech Pathology Department, Princess Alexandra Hospital, Brisbane, Australia
| | - David A Copland
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health, Queensland, Australia
| |
Collapse
|
16
|
Mesulam MM, Gefen T, Flanagan M, Castellani R, Jamshidi P, Barbieri E, Sridhar J, Kawles A, Weintraub S, Geula C, Rogalski E. Frontotemporal Degeneration with Transactive Response DNA-Binding Protein Type C at the Anterior Temporal Lobe. Ann Neurol 2023; 94:1-12. [PMID: 37183762 PMCID: PMC10330481 DOI: 10.1002/ana.26677] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/28/2023] [Accepted: 05/06/2023] [Indexed: 05/16/2023]
Abstract
The anatomical distribution of most neurodegenerative diseases shows considerable interindividual variations. In contrast, frontotemporal lobar degeneration with transactive response DNA-binding protein type C (TDP-C) shows a consistent predilection for the anterior temporal lobe (ATL). The relatively selective atrophy of ATL in TDP-C patients has highlighted the importance of this region for complex cognitive and behavioral functions. This review includes observations on 28 TDP-C patients, 18 with semantic primary progressive aphasia and 10 with other syndromes. Longitudinal imaging allowed the delineation of progression trajectories. At post-mortem examination, the pathognomonic feature of TDP-C consisted of long, thick neurites found predominantly in superficial cortical layers. These neurites may represent dystrophic apical dendrites of layer III and V pyramidal neurons that are known to play pivotal roles in complex cortical computations. Other types of frontotemporal lobar degeneration TDP, such as TDP-A and TDP-B, are not associated with long dystrophic neurites in the cerebral cortex, and do not show similar predilection patterns for ATL. Research is beginning to identify molecular, structural, and immunological differences between pathological TDP-43 in TDP-C versus TDP-A and B. Parallel investigations based on proteomics, somatic mutations, and genome-wide association studies are detecting molecular features that could conceivably mediate the selective vulnerability of ATL to TDP-C. Future work will focus on characterizing the distinctive features of the abnormal TDP-C neurites, the mechanisms of neurotoxicity, initial cellular targets within the ATL, trajectory of spread, and the nature of ATL-specific markers that modulate vulnerability to TDP-C. ANN NEUROL 2023;94:1-12.
Collapse
Affiliation(s)
- Marek-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Margaret Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rudolph Castellani
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pouya Jamshidi
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elena Barbieri
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Allegra Kawles
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Cell and Molecular Biology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| |
Collapse
|
17
|
Hu J, Small H, Kean H, Takahashi A, Zekelman L, Kleinman D, Ryan E, Nieto-Castañón A, Ferreira V, Fedorenko E. Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production. Cereb Cortex 2023; 33:4384-4404. [PMID: 36130104 PMCID: PMC10110436 DOI: 10.1093/cercor/bhac350] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
A fronto-temporal brain network has long been implicated in language comprehension. However, this network's role in language production remains debated. In particular, it remains unclear whether all or only some language regions contribute to production, and which aspects of production these regions support. Across 3 functional magnetic resonance imaging experiments that rely on robust individual-subject analyses, we characterize the language network's response to high-level production demands. We report 3 novel results. First, sentence production, spoken or typed, elicits a strong response throughout the language network. Second, the language network responds to both phrase-structure building and lexical access demands, although the response to phrase-structure building is stronger and more spatially extensive, present in every language region. Finally, contra some proposals, we find no evidence of brain regions-within or outside the language network-that selectively support phrase-structure building in production relative to comprehension. Instead, all language regions respond more strongly during production than comprehension, suggesting that production incurs a greater cost for the language network. Together, these results align with the idea that language comprehension and production draw on the same knowledge representations, which are stored in a distributed manner within the language-selective network and are used to both interpret and generate linguistic utterances.
Collapse
Affiliation(s)
- Jennifer Hu
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
| | - Hannah Small
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Hope Kean
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Atsushi Takahashi
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
| | - Leo Zekelman
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02138, United States
| | | | - Elizabeth Ryan
- St. George’s Medical School, St. George’s University, Grenada, West Indies
| | - Alfonso Nieto-Castañón
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215, United States
| | - Victor Ferreira
- Department of Psychology, UCSD, La Jolla, CA 92093, United States
| | - Evelina Fedorenko
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, United States
- McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, United States
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA 02138, United States
| |
Collapse
|
18
|
Nelson MJ, Moeller S, Seckin M, Rogalski EJ, Mesulam MM, Hurley RS. The eyes speak when the mouth cannot: Using eye movements to interpret omissions in primary progressive aphasia. Neuropsychologia 2023; 184:108530. [PMID: 36906222 PMCID: PMC10166577 DOI: 10.1016/j.neuropsychologia.2023.108530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/12/2023]
Abstract
Though it may seem simple, object naming is a complex multistage process that can be impaired by lesions at various sites of the language network. Individuals with neurodegenerative disorders of language, known as primary progressive aphasias (PPA), have difficulty with naming objects, and instead frequently say "I don't know" or fail to give a vocal response at all, known as an omission. Whereas other types of naming errors (paraphasias) give clues as to which aspects of the language network have been compromised, the mechanisms underlying omissions remain largely unknown. In this study, we used a novel eye tracking approach to probe the cognitive mechanisms of omissions in the logopenic and semantic variants of PPA (PPA-L and PPA-S). For each participant, we identified pictures of common objects (e.g., animals, tools) that they could name aloud correctly, as well as pictures that elicited an omission. In a separate word-to-picture matching task, those pictures appeared as targets embedded among an array with 15 foils. Participants were given a verbal cue and tasked with pointing to the target, while eye movements were monitored. On trials with correctly-named targets, controls and both PPA groups ceased visual search soon after foveating the target. On omission trials, however, the PPA-S group failed to stop searching, and went on to view many foils "post-target". As further indication of impaired word knowledge, gaze of the PPA-S group was subject to excessive "taxonomic capture", such that they spent less time viewing the target and more time viewing related foils on omission trials. In contrast, viewing behavior of the PPA-L group was similar to controls on both correctly-named and omission trials. These results indicate that the mechanisms of omission in PPA differ by variant. In PPA-S, anterior temporal lobe degeneration causes taxonomic blurring, such that words from the same category can no longer be reliably distinguished. In PPA-L, word knowledge remains relatively intact, and omissions instead appear to be caused by downstream factors (e.g., lexical access, phonological encoding). These findings demonstrate that when words fail, eye movements can be particularly informative.
Collapse
Affiliation(s)
- M J Nelson
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, USA; Department of Neurosurgery, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35249, USA.
| | - S Moeller
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Psychology, University of Nevada, Las Vegas, NV 89154, USA
| | - M Seckin
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Neurology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, 34684, Turkey
| | - E J Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, USA
| | - M-M Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Neurology, Feinberg School of Medicine, Northwestern University, USA
| | - R S Hurley
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL USA, 60611; Department of Psychology, Cleveland State University, Cleveland, OH, 44115, USA.
| |
Collapse
|
19
|
Meyer AM, Snider SF, Tippett DC, Saloma R, Turkeltaub PE, Hillis AE, Friedman RB. Baseline Conceptual-Semantic Impairment Predicts Longitudinal Treatment Effects for Anomia in Primary Progressive Aphasia and Alzheimer's Disease. APHASIOLOGY 2023; 38:205-236. [PMID: 38283767 PMCID: PMC10809875 DOI: 10.1080/02687038.2023.2183075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 02/16/2023] [Indexed: 01/30/2024]
Abstract
Background An individual's diagnostic subtype may fail to predict the efficacy of a given type of treatment for anomia. Classification by conceptual-semantic impairment may be more informative. Aims This study examined the effects of conceptual-semantic impairment and diagnostic subtype on anomia treatment effects in primary progressive aphasia (PPA) and Alzheimer's disease (AD). Methods & Procedures At baseline, the picture and word versions of the Pyramids and Palm Trees and Kissing and Dancing tests were used to measure conceptual-semantic processing. Based on norming that was conducted with unimpaired older adults, participants were classified as being impaired on both the picture and word versions (i.e., modality-general conceptual-semantic impairment), the picture version (Objects or Actions) only (i.e., visual-conceptual impairment), the word version (Nouns or Verbs) only (i.e., lexical-semantic impairment), or neither the picture nor the word version (i.e., no impairment). Following baseline testing, a lexical treatment and a semantic treatment were administered to all participants. The treatment stimuli consisted of nouns and verbs that were consistently named correctly at baseline (Prophylaxis items) and/or nouns and verbs that were consistently named incorrectly at baseline (Remediation items). Naming accuracy was measured at baseline, and it was measured at three, seven, eleven, fourteen, eighteen, and twenty-one months. Outcomes & Results Compared to baseline naming performance, lexical and semantic treatments both improved naming accuracy for treated Remediation nouns and verbs. For Prophylaxis items, lexical treatment was effective for both nouns and verbs, and semantic treatment was effective for verbs, but the pattern of results was different for nouns -- the effect of semantic treatment was initially nonsignificant or marginally significant, but it was significant beginning at 11 Months, suggesting that the effects of prophylactic semantic treatment may become more apparent as the disorder progresses. Furthermore, the interaction between baseline Conceptual-Semantic Impairment and the Treatment Condition (Lexical vs. Semantic) was significant for verb Prophylaxis items at 3 and 18 Months, and it was significant for noun Prophylaxis items at 14 and 18 Months. Conclusions The pattern of results suggested that individuals who have modality-general conceptual-semantic impairment at baseline are more likely to benefit from lexical treatment, while individuals who have unimpaired conceptual-semantic processing at baseline are more likely to benefit from semantic treatment as the disorder progresses. In contrast to conceptual-semantic impairment, diagnostic subtype did not typically predict the treatment effects.
Collapse
Affiliation(s)
- Aaron M. Meyer
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center
| | - Sarah F. Snider
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center
| | | | - Ryan Saloma
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center
| | - Peter E. Turkeltaub
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center
| | | | - Rhonda B. Friedman
- Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center
| |
Collapse
|
20
|
Frisby SL, Halai AD, Cox CR, Lambon Ralph MA, Rogers TT. Decoding semantic representations in mind and brain. Trends Cogn Sci 2023; 27:258-281. [PMID: 36631371 DOI: 10.1016/j.tics.2022.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023]
Abstract
A key goal for cognitive neuroscience is to understand the neurocognitive systems that support semantic memory. Recent multivariate analyses of neuroimaging data have contributed greatly to this effort, but the rapid development of these novel approaches has made it difficult to track the diversity of findings and to understand how and why they sometimes lead to contradictory conclusions. We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect. The analysis suggests why the results are heterogeneous and identifies crucial links between cognitive theory, data collection, and analysis that can help to better connect neuroimaging to mechanistic theories of semantic cognition.
Collapse
Affiliation(s)
- Saskia L Frisby
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK.
| | - Ajay D Halai
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK
| | - Christopher R Cox
- Department of Psychology, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Matthew A Lambon Ralph
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK
| | - Timothy T Rogers
- Department of Psychology, University of Wisconsin-Madison, 1202 West Johnson Street, Madison, WI 53706, USA.
| |
Collapse
|
21
|
Mesulam MM. Temporopolar regions of the human brain. Brain 2023; 146:20-41. [PMID: 36331542 DOI: 10.1093/brain/awac339] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/26/2022] [Accepted: 08/29/2022] [Indexed: 11/06/2022] Open
Abstract
Following prolonged neglect during the formative decades of behavioural neurology, the temporopolar region has become a site of vibrant research on the neurobiology of cognition and conduct. This turnaround can be attributed to increasing recognition of neurodegenerative diseases that target temporopolar regions for peak destruction. The resultant syndromes include behavioural dementia, associative agnosia, semantic forms of primary progressive aphasia and semantic dementia. Clinicopathological correlations show that object naming and word comprehension are critically dependent on the language-dominant (usually left) temporopolar region, whereas behavioural control and non-verbal object recognition display a more bilateral representation with a rightward bias. Neuroanatomical experiments in macaques and neuroimaging in humans show that the temporoparietal region sits at the confluence of auditory, visual and limbic streams of processing at the downstream (deep) pole of the 'what' pathway. The functional neuroanatomy of this region revolves around three axes, an anterograde horizontal axis from unimodal to heteromodal and paralimbic cortex; a radial axis where visual (ventral), auditory (dorsal) and paralimbic (medial) territories encircle temporopolar cortex and display hemispheric asymmetry; and a vertical depth-of-processing axis for the associative elaboration of words, objects and interoceptive states. One function of this neural matrix is to support the transformation of object and word representations from unimodal percepts to multimodal concepts. The underlying process is likely to start at canonical gateways that successively lead to generic (superordinate), specific (basic) and unique levels of recognition. A first sign of left temporopolar dysfunction takes the form of taxonomic blurring where boundaries among categories are preserved but not boundaries among exemplars of a category. Semantic paraphasias and coordinate errors in word-picture verification tests are consequences of this phenomenon. Eventually, boundaries among categories are also blurred and comprehension impairments become more profound. The medial temporopolar region belongs to the amygdalocentric component of the limbic system and stands to integrate exteroceptive information with interoceptive states underlying social interactions. Review of the pertinent literature shows that word comprehension and conduct impairments caused by temporopolar strokes and temporal lobectomy are far less severe than those seen in temporopolar atrophies. One explanation for this unexpected discrepancy invokes the miswiring of residual temporopolar neurons during the many years of indolently progressive neurodegeneration. According to this hypothesis, the temporopolar regions become not only dysfunctional but also sources of aberrant outputs that interfere with the function of areas elsewhere in the language and paralimbic networks, a juxtaposition not seen in lobectomy or stroke.
Collapse
Affiliation(s)
- M Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| |
Collapse
|
22
|
Karpouzian-Rogers T, Hurley R, Seckin M, Moeller S, Gill N, Zhang H, Coventry C, Nelson M, Weintraub S, Rogalski E, Marsel Mesulam M. Eye movements as a measure of word comprehension deficits in primary progressive aphasia. BRAIN AND LANGUAGE 2022; 232:105165. [PMID: 35908339 PMCID: PMC9428830 DOI: 10.1016/j.bandl.2022.105165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 03/11/2022] [Accepted: 07/24/2022] [Indexed: 05/09/2023]
Abstract
INTRODUCTION Eye movement studies can uncover subtle aspects of language processing impairment in individuals with primary progressive aphasia (PPA), who may have difficulty understanding words. This study examined eye movement patterns on a word-object matching task in response to varying levels of word-knowledge in PPA. METHODS Participants with semantic and non-semantic PPA completed an object-matching task, where a word was presented and participants then selected the corresponding pictured object from an array. Afterwards, participants defined words for trials to which they incorrectly pointed. Linear mixed-effects analyses examined fixation differences on targets and related and unrelated foils. RESULTS On incorrectly-pointed trials, participants demonstrated greater fixation duration on related foils, demonstrating intra-category blurring. For words that could not be defined, there was similar fixation duration on related and unrelated foils, demonstrating inter-category semantic blurring. DISCUSSION This study demonstrated that fixation patterns reflect varying levels of word knowledge in PPA.
Collapse
Affiliation(s)
- Tatiana Karpouzian-Rogers
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Rob Hurley
- Department of Psychology, Cleveland State University Cleveland, OH, USA
| | - Mustafa Seckin
- Department of Neurology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey
| | - Stacey Moeller
- Department of Psychology, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Nathan Gill
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Biostatistics, Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hui Zhang
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Biostatistics, Department of Preventative Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew Nelson
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - M Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| |
Collapse
|
23
|
Kang SH, Park YH, Shin J, Kim HR, Yun J, Jang H, Kim HJ, Koh SB, Na DL, Suh MK, Seo SW. Cortical neuroanatomical changes related to specific language impairments in primary progressive aphasia. Front Aging Neurosci 2022; 14:878758. [PMID: 36092818 PMCID: PMC9452784 DOI: 10.3389/fnagi.2022.878758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 08/01/2022] [Indexed: 11/24/2022] Open
Abstract
Objective Language function test-specific neural substrates in Korean patients with primary progressive aphasia (PPA) might differ from those in other causes of dementia and English-speaking PPA patients. We investigated the correlation between language performance tests and cortical thickness to determine neural substrates in Korean patients with PPA. Materials and methods Ninety-six patients with PPA were recruited from the memory clinic. To acquire neural substrates, we performed linear regression using the scores of each language test as a predictor, cortical thickness as an outcome and age, sex, years of education, and intracranial volume as confounders. Results Poor performance in each language function test was associated with lower cortical thickness in specific cortical regions: (1) object naming and the bilateral anterior to mid-portion of the lateral temporal and basal temporal regions; (2) semantic generative naming and the bilateral anterior to mid-portion of the lateral temporal and basal temporal regions; (3) phonemic generative naming and the left prefrontal and inferior parietal regions; and (4) comprehension and the left posterior portion of the superior and middle temporal regions. In particular, the neural substrates of the semantic generative naming test in PPA patients, left anterior to mid-portion of the lateral and basal temporal regions, quite differed from those in patients with other causes of dementia. Conclusion Our findings provide a better understanding of the different pathomechanisms for language impairments among PPA patients from those with other causes of dementia.
Collapse
Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Jiho Shin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hang-Rai Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, South Korea
| | - Jihwan Yun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- *Correspondence: Mee Kyung Suh,
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Sang Won Seo, ;
| |
Collapse
|
24
|
Mesulam MM, Coventry CA, Bigio EH, Sridhar J, Gill N, Fought AJ, Zhang H, Thompson CK, Geula C, Gefen T, Flanagan M, Mao Q, Weintraub S, Rogalski EJ. Neuropathological fingerprints of survival, atrophy and language in primary progressive aphasia. Brain 2022; 145:2133-2148. [PMID: 35441216 PMCID: PMC9246707 DOI: 10.1093/brain/awab410] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/25/2021] [Accepted: 10/19/2021] [Indexed: 01/21/2023] Open
Abstract
Primary progressive aphasia is a neurodegenerative disease that selectively impairs language without equivalent impairment of speech, memory or comportment. In 118 consecutive autopsies on patients with primary progressive aphasia, primary diagnosis was Alzheimer's disease neuropathological changes (ADNC) in 42%, corticobasal degeneration or progressive supranuclear palsy neuropathology in 24%, Pick's disease neuropathology in 10%, transactive response DNA binding proteinopathy type A [TDP(A)] in 10%, TDP(C) in 11% and infrequent entities in 3%. Survival was longest in TDP(C) (13.2 ± 2.6 years) and shortest in TDP(A) (7.1 ± 2.4 years). A subset of 68 right-handed participants entered longitudinal investigations. They were classified as logopenic, agrammatic/non-fluent or semantic by quantitative algorithms. Each variant had a preferred but not invariant neuropathological correlate. Seventy-seven per cent of logopenics had ADNC, 56% of agrammatics had corticobasal degeneration/progressive supranuclear palsy or Pick's disease and 89% of semantics had TDP(C). Word comprehension impairments had strong predictive power for determining underlying neuropathology positively for TDP(C) and negatively for ADNC. Cortical atrophy was smallest in corticobasal degeneration/progressive supranuclear palsy and largest in TDP(A). Atrophy encompassed posterior frontal but not temporoparietal cortex in corticobasal degeneration/progressive supranuclear palsy, anterior temporal but not frontoparietal cortex in TDP(C), temporofrontal but not parietal cortex in Pick's disease and all three lobes with ADNC or TDP(A). There were individual deviations from these group patterns, accounting for less frequent clinicopathologic associations. The one common denominator was progressive asymmetric atrophy overwhelmingly favouring the left hemisphere language network. Comparisons of ADNC in typical amnestic versus atypical aphasic dementia and of TDP in type A versus type C revealed fundamental biological and clinical differences, suggesting that members of each pair may constitute distinct clinicopathologic entities despite identical downstream proteinopathies. Individual TDP(C) participants with unilateral left temporal atrophy displayed word comprehension impairments without additional object recognition deficits, helping to dissociate semantic primary progressive aphasia from semantic dementia. When common and uncommon associations were considered in the set of 68 participants, one neuropathology was found to cause multiple clinical subtypes, and one subtype of primary progressive aphasia to be caused by multiple neuropathologies, but with different probabilities. Occasionally, expected clinical manifestations of atrophy sites were absent, probably reflecting individual peculiarities of language organization. The hemispheric asymmetry of neurodegeneration and resultant language impairment in primary progressive aphasia reflect complex interactions among the cellular affinities of the degenerative disease, the constitutive biology of language cortex, familial or developmental vulnerabilities of this network and potential idiosyncrasies of functional anatomy in the affected individual.
Collapse
Affiliation(s)
- M Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Davee Department of Neurology, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Christina A Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Eileen H Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Nathan Gill
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Preventive Medicine, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Angela J Fought
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Hui Zhang
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Preventive Medicine, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Cynthia K Thompson
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- School of Communication, Northwestern University, Evanston, IL 60208, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Margaret Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Qinwen Mao
- Department of Pathology, University of Utah, Salt Lake City, UT 84112, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Chicago, IL 60611, USA
| |
Collapse
|
25
|
Bowren M, Bruss J, Manzel K, Edwards D, Liu C, Corbetta M, Tranel D, Boes AD. Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping. Brain 2022; 145:1338-1353. [PMID: 35025994 PMCID: PMC9630711 DOI: 10.1093/brain/awac010] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/10/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
Clinicians and scientists alike have long sought to predict the course and severity of chronic post-stroke cognitive and motor outcomes, as the ability to do so would inform treatment and rehabilitation strategies. However, it remains difficult to make accurate predictions about chronic post-stroke outcomes due, in large part, to high inter-individual variability in recovery and a reliance on clinical heuristics rather than empirical methods. The neuroanatomical location of a stroke is a key variable associated with long-term outcomes, and because lesion location can be derived from routinely collected clinical neuroimaging data there is an opportunity to use this information to make empirically based predictions about post-stroke deficits. For example, lesion location can be compared to statistically weighted multivariate lesion-behaviour maps of neuroanatomical regions that, when damaged, are associated with specific deficits based on aggregated outcome data from large cohorts. Here, our goal was to evaluate whether we can leverage lesion-behaviour maps based on data from two large cohorts of individuals with focal brain lesions to make predictions of 12-month cognitive and motor outcomes in an independent sample of stroke patients. Further, we evaluated whether we could augment these predictions by estimating the structural and functional networks disrupted in association with each lesion-behaviour map through the use of structural and functional lesion network mapping, which use normative structural and functional connectivity data from neurologically healthy individuals to elucidate lesion-associated networks. We derived these brain network maps using the anatomical regions with the strongest association with impairment for each cognitive and motor outcome based on lesion-behaviour map results. These peak regional findings became the 'seeds' to generate networks, an approach that offers potentially greater precision compared to previously used single-lesion approaches. Next, in an independent sample, we quantified the overlap of each lesion location with the lesion-behaviour maps and structural and functional lesion network mapping and evaluated how much variance each could explain in 12-month behavioural outcomes using a latent growth curve statistical model. We found that each lesion-deficit mapping modality was able to predict a statistically significant amount of variance in cognitive and motor outcomes. Both structural and functional lesion network maps were able to predict variance in 12-month outcomes beyond lesion-behaviour mapping. Functional lesion network mapping performed best for the prediction of language deficits, and structural lesion network mapping performed best for the prediction of motor deficits. Altogether, these results support the notion that lesion location and lesion network mapping can be combined to improve the prediction of post-stroke deficits at 12-months.
Collapse
Affiliation(s)
- Mark Bowren
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA
| | - Joel Bruss
- Department of Neurology, Carver College of Medicine, Iowa City, IA 52242, USA
| | - Kenneth Manzel
- Department of Neurology, Carver College of Medicine, Iowa City, IA 52242, USA
| | - Dylan Edwards
- Moss Rehabilitation Research Institute, Elkins Park, PA 19027, USA
- Edith Cowan University, Joondalup, WA 6027, Australia
| | - Charles Liu
- Neurorestoration Center and Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA
| | - Maurizio Corbetta
- Department of Neuroscience, Venetian Institute of Molecular Medicine and Padova Neuroscience Center, University of Padua, Padova, PD 32122, Italy
| | - Daniel Tranel
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA
- Department of Neurology, Carver College of Medicine, Iowa City, IA 52242, USA
| | - Aaron D Boes
- Departments of Neurology, Psychiatry, and Pediatrics, Carver College of Medicine, Iowa City, IA 52242, USA
| |
Collapse
|
26
|
Riccardi N, Rorden C, Fridriksson J, Desai RH. Canonical Sentence Processing and the Inferior Frontal Cortex: Is There a Connection? NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:318-344. [PMID: 37215558 PMCID: PMC10158581 DOI: 10.1162/nol_a_00067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 01/21/2022] [Indexed: 05/24/2023]
Abstract
The role of left inferior frontal cortex (LIFC) in canonical sentence comprehension is controversial. Many studies have found involvement of LIFC in sentence production or complex sentence comprehension, but negative or mixed results are often found in comprehension of simple or canonical sentences. We used voxel-, region-, and connectivity-based lesion symptom mapping (VLSM, RLSM, CLSM) in left-hemisphere chronic stroke survivors to investigate canonical sentence comprehension while controlling for lexical-semantic, executive, and phonological processes. We investigated how damage and disrupted white matter connectivity of LIFC and two other language-related regions, the left anterior temporal lobe (LATL) and posterior temporal-inferior parietal area (LpT-iP), affected sentence comprehension. VLSM and RLSM revealed that LIFC damage was not associated with canonical sentence comprehension measured by a sensibility judgment task. LIFC damage was associated instead with impairments in a lexical semantic similarity judgment task with high semantic/executive demands. Damage to the LpT-iP, specifically posterior middle temporal gyrus (pMTG), predicted worse sentence comprehension after controlling for visual lexical access, semantic knowledge, and auditory-verbal short-term memory (STM), but not auditory single-word comprehension, suggesting pMTG is vital for auditory language comprehension. CLSM revealed that disruption of left-lateralized white-matter connections from LIFC to LATL and LpT-iP was associated with worse sentence comprehension, controlling for performance in tasks related to lexical access, auditory word comprehension, and auditory-verbal STM. However, the LIFC connections were accounted for by the lexical semantic similarity judgment task, which had high semantic/executive demands. This suggests that LIFC connectivity is relevant to canonical sentence comprehension when task-related semantic/executive demands are high.
Collapse
Affiliation(s)
- Nicholas Riccardi
- Department of Psychology, University of South Carolina, Columbia, SC
| | - Chris Rorden
- Department of Psychology, University of South Carolina, Columbia, SC
- Institute for Mind and Brain, University of South Carolina, Columbia, SC
| | - Julius Fridriksson
- Institute for Mind and Brain, University of South Carolina, Columbia, SC
- Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC
| | - Rutvik H. Desai
- Department of Psychology, University of South Carolina, Columbia, SC
- Institute for Mind and Brain, University of South Carolina, Columbia, SC
| |
Collapse
|
27
|
Isella V, Rosazza C, Ferri F, Gazzotti M, Impagnatiello V, Mapelli C, Morzenti S, Crivellaro C, Appollonio IM, Ferrarese C. Learning From Mistakes: Cognitive and Metabolic Correlates of Errors on Picture Naming in the Alzheimer’s Disease Spectrum. J Alzheimers Dis 2022; 87:1033-1053. [DOI: 10.3233/jad-220053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Background: Analysis of subtypes of picture naming errors produced by patients with Alzheimer’s disease (AD) have seldom been investigated yet may clarify the cognitive and neural underpinnings of naming in the AD spectrum. Objective: To elucidate the neurocognitive bases of picture naming in AD through a qualitative analysis of errors. Methods: Over 1000 naming errors produced by 70 patients with amnestic, visuospatial, linguistic, or frontal AD were correlated with general cognitive tests and with distribution of hypometabolism on FDG-PET. Results: Principal component analysis identified 1) a Visual processing factor clustering visuospatial tests and unrecognized stimuli, pure visual errors and visual-semantic errors, associated with right parieto-occipital hypometabolism; 2) a Concept-Lemma factor grouping language tests and anomias, circumlocutions, superordinates, and coordinates, correlated with left basal temporal hypometabolism; 3) a Lemma-Phonology factor including the digit span and phonological errors, linked with left temporo-parietal hypometabolism. Regression of brain metabolism on individual errors showed that errors due to impairment of basic and higher-order processing of object visual attributes or of their interaction with semantics, were related with bilateral occipital and left occipito-temporal dysfunction. Omissions and superordinates were linked to degradation of broad and basic concepts in the left basal temporal cortex. Semantic-lexical errors derived from faulty semantically- and phonologically-driven lexical retrieval in the left superior and middle temporal gyri. Generation of nonwords was underpinned by of phonological impairment within the left inferior parietal cortex. Conclusion: Analysis of individual naming errors allowed to outline a comprehensive anatomo-functional model of picture naming in classical and atypical AD.
Collapse
Affiliation(s)
- Valeria Isella
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Cristina Rosazza
- Dipartimento di Studi Umanistici (DISTUM), Università degli Studi di Urbino Carlo Bo, Urbino, Italy
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Francesca Ferri
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Maria Gazzotti
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
| | | | - Cristina Mapelli
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Sabrina Morzenti
- Medical Physics, S. Gerardo Hospital, Monza, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Cinzia Crivellaro
- Nuclear Medicine, S. Gerardo Hospital, Monza, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Ildebrando M. Appollonio
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| | - Carlo Ferrarese
- Department of Neurology, S. Gerardo Hospital, Monza, University of Milano - Bicocca, Italy
- NeuroMI, University of Milano - Bicocca, Italy
| |
Collapse
|
28
|
Matchin W, Basilakos A, Ouden DBD, Stark BC, Hickok G, Fridriksson J. Functional differentiation in the language network revealed by lesion-symptom mapping. Neuroimage 2022; 247:118778. [PMID: 34896587 PMCID: PMC8830186 DOI: 10.1016/j.neuroimage.2021.118778] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 11/17/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Theories of language organization in the brain commonly posit that different regions underlie distinct linguistic mechanisms. However, such theories have been criticized on the grounds that many neuroimaging studies of language processing find similar effects across regions. Moreover, condition by region interaction effects, which provide the strongest evidence of functional differentiation between regions, have rarely been offered in support of these theories. Here we address this by using lesion-symptom mapping in three large, partially-overlapping groups of aphasia patients with left hemisphere brain damage due to stroke (N = 121, N = 92, N = 218). We identified multiple measure by region interaction effects, associating damage to the posterior middle temporal gyrus with syntactic comprehension deficits, damage to posterior inferior frontal gyrus with expressive agrammatism, and damage to inferior angular gyrus with semantic category word fluency deficits. Our results are inconsistent with recent hypotheses that regions of the language network are undifferentiated with respect to high-level linguistic processing.
Collapse
Affiliation(s)
- William Matchin
- Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States.
| | - Alexandra Basilakos
- Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States
| | - Dirk-Bart den Ouden
- Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States
| | - Brielle C Stark
- Department of Speech and Hearing Sciences, Program in Neuroscience, Indiana University Bloomington, Bloomington, Indiana, United States
| | - Gregory Hickok
- Department of Cognitive Sciences, Department of Language Science, University of California, Irvine, California, United States
| | - Julius Fridriksson
- Department of Communication Sciences and Disorders, University of South Carolina, Discovery 1, Room 202D, 915 Greene St., Columbia, SC 29208, United States
| |
Collapse
|
29
|
Watanabe H, Hikida S, Ikeda M, Mori E. OUP accepted manuscript. Brain Commun 2022; 4:fcac015. [PMID: 35686225 PMCID: PMC9171501 DOI: 10.1093/braincomms/fcac015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/07/2021] [Accepted: 01/31/2022] [Indexed: 11/26/2022] Open
Abstract
Primary progressive aphasia, a neurodegenerative syndrome, presents mainly with language impairment. Both semantic and logopenic variants are fluent variants of primary progressive aphasia. Before the research criteria of primary progressive aphasia were proposed, progressive fluent aphasias, such as progressive anomic aphasia, transcortical sensory aphasia and Wernicke’s aphasia, were reported as classical progressive fluent aphasias seen in Alzheimer’s disease. However, since the research criteria of primary progressive aphasia were established, classical fluent variants (other than semantic and logopenic variants) have been neglected and have not been included in the current classification of primary progressive aphasia. This study aimed to determine whether unclassified fluent variants (other than semantic and logopenic variants) can be manifestations of primary progressive aphasia. This study also reconfirmed the characteristics of classical progressive fluent aphasia, such as progressive anomic aphasia, progressive transcortical sensory aphasia and progressive Wernicke’s aphasia as unclassified fluent variants of primary progressive aphasia, using comparison with the current model of primary progressive aphasia. Twelve consecutive patients with an unclassified fluent variant other than semantic or logopenic variant underwent language, neurological, neuropsychological and neuroimaging (MRI and single-photon emission computed tomography) testing. Based on comprehensive language tests, we redefined the diagnoses as primary progressive anomic aphasia (n = 8), primary progressive transcortical sensory aphasia (n = 3) and primary progressive Wernicke’s aphasia (n = 1). Anomic aphasia was characterized by anomia but preserved repetition and comprehension; transcortical sensory aphasia by relatively preserved repetition but poor word comprehension; and Wernicke’s aphasia by poor repetition and word comprehension. In patients with anomic aphasia, voxel-based morphometry of MRI data revealed cortical atrophy, which was most prominent in the temporoparietal lobes, with no obvious lateralization; in two-thirds of patients with transcortical sensory aphasia and in one patient with Wernicke’s aphasia, it revealed atrophy, predominantly in the left temporoparietal lobe. Statistical analysis of single-photon emission computed tomography using three-dimensional stereotactic surface projections revealed patterns of left-sided hypoperfusion in the majority of patients. The temporal and parietal lobes were involved in all cases; the degree of hypoperfusion was higher in patients with transcortical sensory aphasia or Wernicke’s aphasia than in patients with anomic aphasia. The present study demonstrated the clinical and imaging features of 12 patients with an unclassified fluent variant of primary progressive aphasia, which we redefined as primary progressive anomic aphasia, primary progressive transcortical sensory aphasia and primary progressive Wernicke’s aphasia. Classical fluent variants other than semantic and logopenic variants can be found in primary progressive aphasia.
Collapse
Affiliation(s)
- Hiroyuki Watanabe
- Correspondence to: Hiroyuki Watanabe Department of Behavioral Neurology and Neuropsychiatry Osaka University United Graduate School of Child Development 2-2, Yamadaoka, Suita Osaka 565-0871, Japan E-mail:
| | - Sakura Hikida
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
- Brain Function Center, Nippon Life Hospital, Osaka, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
- Brain Function Center, Nippon Life Hospital, Osaka, Japan
| | - Etsuro Mori
- Department of Behavioral Neurology and Neuropsychiatry, Osaka University United Graduate School of Child Development, Suita, Japan
- Brain Function Center, Nippon Life Hospital, Osaka, Japan
| |
Collapse
|
30
|
Ubellacker DM, Hillis AE. The neural underpinnings of word comprehension and production: The critical roles of the temporal lobes. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:211-220. [PMID: 35964973 DOI: 10.1016/b978-0-12-823493-8.00013-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This chapter explores the involvement of the temporal lobes in distinct language functions. The examination of cases of localized damage to the temporal lobes and the resulting pattern of impairment across language tasks and types of errors made can reveal clear neural regions and associated networks essential for word comprehension, semantics, naming, reading, and spelling. Key regions implicated in these functions include left superior temporal gyrus posterior to the temporal pole in word comprehension, bilateral anterior temporal lobes in semantics, left posterior inferior temporal gyrus (pITG) in naming, and left pITG and fusiform cortex in reading and spelling. Results we review provide evidence that the temporal lobes have a critical role in many language tasks. Although various areas and associated white matter tracts work together in supporting language, damage to specific regions of the temporal lobes results in distinct and relatively predictable impairments of language functions.
Collapse
Affiliation(s)
- Delaney M Ubellacker
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
| |
Collapse
|
31
|
Borghesani V, DeLeon J, Gorno-Tempini ML. Frontotemporal dementia: A unique window on the functional role of the temporal lobes. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:429-448. [PMID: 35964986 PMCID: PMC9793689 DOI: 10.1016/b978-0-12-823493-8.00011-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Frontotemporal dementia (FTD) is an umbrella term covering a plethora of progressive changes in executive functions, motor abilities, behavior, and/or language. Different clinical syndromes have been described in relation to localized atrophy, informing on the functional networks that underlie these specific cognitive, emotional, and behavioral processes. These functional declines are linked with the underlying neurodegeneration of frontal and/or temporal lobes due to diverse molecular pathologies. Initially, the accumulation of misfolded proteins targets specifically susceptible cell assemblies, leading to relatively focal neurodegeneration that later spreads throughout large-scale cortical networks. Here, we discuss the most recent clinical, neuropathological, imaging, and genetics findings in FTD-spectrum syndromes affecting the temporal lobe. We focus on the semantic variant of primary progressive aphasia and its mirror image, the right temporal variant of FTD. Incipient focal atrophy of the left anterior temporal lobe (ATL) manifests with predominant naming, word comprehension, reading, and object semantic deficits, while cases of predominantly right ATL atrophy present with impairments of socioemotional, nonverbal semantic, and person-specific knowledge. Overall, the observations in FTD allow for crucial clinical-anatomic inferences, shedding light on the role of the temporal lobes in both cognition and complex behaviors. The concerted activity of both ATLs is critical to ensure that percepts are translated into concepts, yet important hemispheric differences should be acknowledged. On one hand, the left ATL attributes meaning to linguistic, external stimuli, thus supporting goal-oriented, action-related behaviors (e.g., integrating sounds and letters into words). On the other hand, the right ATL assigns meaning to emotional, visceral stimuli, thus guiding socially relevant behaviors (e.g., integrating body sensations into feelings of familiarity).
Collapse
Affiliation(s)
- Valentina Borghesani
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada; Department of Psychology, Université de Montréal, Montréal, QC, Canada.
| | - Jessica DeLeon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, United States
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, United States
| |
Collapse
|
32
|
Meier EL, Sheppard SM, Goldberg EB, Kelly CR, Walker A, Ubellacker DM, Vitti E, Ruch K, Hillis AE. Dysfunctional Tissue Correlates of Unrelated Naming Errors in Acute Left Hemisphere Stroke. LANGUAGE, COGNITION AND NEUROSCIENCE 2021; 37:330-347. [PMID: 35665076 PMCID: PMC9159539 DOI: 10.1080/23273798.2021.1980593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 08/31/2021] [Indexed: 06/15/2023]
Abstract
Most naming error lesion-symptom mapping (LSM) studies have focused on semantic and/or phonological errors. Anomic individuals also produce unrelated word errors, which may be linked to semantic or modality-independent lexical deficits. To investigate the neural underpinnings of rarely-studied unrelated errors, we conducted LSM analyses in 100 individuals hospitalized with a left hemisphere stroke who completed imaging protocols and language assessments. We used least absolute shrinkage and selection operator regression to capture relationships between naming errors and dysfunctional brain tissue metrics (regional damage or hypoperfusion in vascular territories) in two groups: participants with and without impaired single-word auditory comprehension. Hypoperfusion-particularly within the parietal lobe-was an important error predictor, especially for the unimpaired group. In both groups, higher unrelated error proportions were associated with primarily ventral stream damage, the language route critical for processing meaning. Nonetheless, brain metrics implicated in unrelated errors were distinct from semantic error correlates.
Collapse
Affiliation(s)
- Erin L. Meier
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Shannon M. Sheppard
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Communication Sciences and Disorders, Chapman University, Irvine, CA
| | - Emily B. Goldberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Catherine R. Kelly
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Alexandra Walker
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Emilia Vitti
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kristina Ruch
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD
| |
Collapse
|
33
|
Henderson SK, Dev SI, Ezzo R, Quimby M, Wong B, Brickhouse M, Hochberg D, Touroutoglou A, Dickerson BC, Cordella C, Collins JA. A category-selective semantic memory deficit for animate objects in semantic variant primary progressive aphasia. Brain Commun 2021; 3:fcab210. [PMID: 34622208 PMCID: PMC8493104 DOI: 10.1093/braincomms/fcab210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/16/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Data are mixed on whether patients with semantic variant primary progressive aphasia exhibit a category-selective semantic deficit for animate objects. Moreover, there is little consensus regarding the neural substrates of this category-selective semantic deficit, though prior literature has suggested that the perirhinal cortex and the lateral posterior fusiform gyrus may support semantic memory functions important for processing animate objects. In this study, we investigated whether patients with semantic variant primary progressive aphasia exhibited a category-selective semantic deficit for animate objects in a word-picture matching task, controlling for psycholinguistic features of the stimuli, including frequency, familiarity, typicality and age of acquisition. We investigated the neural bases of this category selectivity by examining its relationship with cortical atrophy in two primary regions of interest: bilateral perirhinal cortex and lateral posterior fusiform gyri. We analysed data from 20 patients with semantic variant primary progressive aphasia (mean age = 64 years, S.D. = 6.94). For each participant, we calculated an animacy index score to denote the magnitude of the category-selective semantic deficit for animate objects. Multivariate regression analysis revealed a main effect of animacy (β = 0.52, t = 4.03, P < 0.001) even after including all psycholinguistic variables in the model, such that animate objects were less likely to be identified correctly relative to inanimate objects. Inspection of each individual patient's data indicated the presence of a disproportionate impairment in animate objects in most patients. A linear regression analysis revealed a relationship between the right perirhinal cortex thickness and animacy index scores (β = -0.57, t = -2.74, P = 0.015) such that patients who were more disproportionally impaired for animate relative to inanimate objects exhibited thinner right perirhinal cortex. A vertex-wise general linear model analysis restricted to the temporal lobes revealed additional associations between positive animacy index scores (i.e. a disproportionately poorer performance on animate objects) and cortical atrophy in the right perirhinal and entorhinal cortex, superior, middle, and inferior temporal gyri, and the anterior fusiform gyrus, as well as the left anterior fusiform gyrus. Taken together, our results indicate that a category-selective semantic deficit for animate objects is a characteristic feature of semantic variant primary progressive aphasia that is detectable in most individuals. Our imaging findings provide further support for the role of the right perirhinal cortex and other temporal lobe regions in the semantic processing of animate objects.
Collapse
Affiliation(s)
- Shalom K Henderson
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sheena I Dev
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rania Ezzo
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Megan Quimby
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Bonnie Wong
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daisy Hochberg
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Claire Cordella
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica A Collins
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
34
|
Hauptman M, Blanco-Elorrieta E, Pylkkänen L. Inflection across Categories: Tracking Abstract Morphological Processing in Language Production with MEG. Cereb Cortex 2021; 32:1721-1736. [PMID: 34515304 PMCID: PMC9016284 DOI: 10.1093/cercor/bhab309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 11/21/2022] Open
Abstract
Coherent language production requires that speakers adapt words to their grammatical contexts. A fundamental challenge in establishing a functional delineation of this process in the brain is that each linguistic process tends to correlate with numerous others. Our work investigated the neural basis of morphological inflection by measuring magnetoencephalography during the planning of inflected and uninflected utterances that varied across several linguistic dimensions. Results reveal increased activity in the left lateral frontotemporal cortex when inflection is planned, irrespective of phonological specification, syntactic context, or semantic type. Additional findings from univariate and connectivity analyses suggest that the brain distinguishes between different types of inflection. Specifically, planning noun and verb utterances requiring the addition of the suffix -s elicited increased activity in the ventral prefrontal cortex. A broadly distributed effect of syntactic context (verb vs. noun) was also identified. Results from representational similarity analysis indicate that this effect cannot be explained in terms of word meaning. Together, these results 1) offer evidence for a neural representation of abstract inflection that separates from other stimulus properties and 2) challenge theories that emphasize semantic content as a source of verb/noun processing differences.
Collapse
Affiliation(s)
- Miriam Hauptman
- Department of Psychology, New York University, New York, NY 10003, USA.,NYUAD Institute, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE
| | - Esti Blanco-Elorrieta
- Department of Psychology, New York University, New York, NY 10003, USA.,Department of Psychology, Harvard University, Cambridge, MA 02138, USA
| | - Liina Pylkkänen
- Department of Psychology, New York University, New York, NY 10003, USA.,NYUAD Institute, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE.,Department of Linguistics, New York University, New York, NY 10003, USA
| |
Collapse
|
35
|
Martersteck A, Sridhar J, Coventry C, Weintraub S, Mesulam MM, Rogalski E. Relationships among tau burden, atrophy, age, and naming in the aphasic variant of Alzheimer's disease. Alzheimers Dement 2021; 17:1788-1797. [PMID: 34494711 DOI: 10.1002/alz.12445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Examination of pathologic, anatomic, and cognitive relationships has been limited in primary progressive aphasia (PPA) with underlying Alzheimer's disease (AD) neuropathology. METHODS Spatial relationships between tau positron emission tomography (PET), cortical thickness, age, and naming on the Boston Naming Test (BNT) in PPA with biomarker evidence of AD (PPA-AD) were examined. RESULTS Higher tau PET burden was associated with atrophy and younger age. There was a significant left-lateralized relationship between lower BNT and more atrophy, and between lower BNT and increased tau burden. Variance in naming was primarily shared between tau and atrophy (51%), but naming was uniquely explained more by atrophy (32%) than tau (16%). Higher left anterior temporal tau burden was associated with greater 1-year rate of decline in naming. DISCUSSION PPA-AD has a similar relationship between abnormal biomarkers as first described in amnestic AD, with differing spatial extent, reflecting the left-lateralized nature of the language network.
Collapse
Affiliation(s)
- Adam Martersteck
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Radiology, Chicago, Illinois, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
| |
Collapse
|
36
|
Lukic S, Borghesani V, Weis E, Welch A, Bogley R, Neuhaus J, Deleon J, Miller ZA, Kramer JH, Miller BL, Dronkers NF, Gorno-Tempini ML. Dissociating nouns and verbs in temporal and perisylvian networks: Evidence from neurodegenerative diseases. Cortex 2021; 142:47-61. [PMID: 34182153 PMCID: PMC8556704 DOI: 10.1016/j.cortex.2021.05.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 02/27/2021] [Accepted: 05/08/2021] [Indexed: 12/11/2022]
Abstract
Naming of nouns and verbs can be selectively impaired in neurological disorders, but the specificity of the neural and cognitive correlates of such dissociation remains unclear. Functional imaging and stroke research sought to identify cortical regions selectively recruited for nouns versus verbs, yet findings are inconsistent. The present study investigated this issue in neurodegenerative diseases known to selectively affect different brain networks, thus providing new critical evidence of network specificity. We examined naming performances on nouns and verbs in 146 patients with different neurodegenerative syndromes (Primary Progressive Aphasia - PPA, Alzheimer's disease - AD, and behavioral variant Frontotemporal Dementia - FTD) and 30 healthy adults. We then correlated naming scores with MRI-derived cortical thickness values as well as with performances in semantic and syntactic tasks, across all subjects. Results indicated that patients with the semantic variant PPA named significantly fewer nouns than verbs. Instead, nonfluent/agrammatic PPA patients named fewer verbs than nouns. Across all subjects, performance on nouns (adjusted for verbs) specifically correlated with cortical atrophy in left anterior temporal regions, and performance on verbs (adjusted for nouns) with atrophy in left inferior and middle frontal, inferior parietal and posterior temporal regions. Furthermore, lower lexical-semantic abilities correlated with deficits in naming both nouns and verbs, while lower syntactic abilities only correlated with naming verbs. Our results show that different neural and cognitive mechanisms underlie naming of specific grammatical categories in neurodegenerative diseases. Importantly, our findings showed that verb processing depends on a widespread perisylvian networks, suggesting that some regions might be involved in processing different types of action knowledge. These findings have important implications for early differential diagnosis of neurodegenerative disorders.
Collapse
Affiliation(s)
- Sladjana Lukic
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Elizabeth Weis
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Ariane Welch
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rian Bogley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - John Neuhaus
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Nina F Dronkers
- University of California, Berkeley, CA, USA; University of California, Davis, CA, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| |
Collapse
|
37
|
Mesulam MM, Coventry CA, Rader BM, Kuang A, Sridhar J, Martersteck A, Zhang H, Thompson CK, Weintraub S, Rogalski EJ. Modularity and granularity across the language network-A primary progressive aphasia perspective. Cortex 2021; 141:482-496. [PMID: 34153680 PMCID: PMC8319115 DOI: 10.1016/j.cortex.2021.05.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/22/2021] [Accepted: 05/05/2021] [Indexed: 11/16/2022]
Abstract
Tests of grammar, repetition and semantics were administered to 62 prospectively enrolled right-handed participants with primary progressive aphasia (PPA). Structural brain images were obtained at the time of testing. Regression analyses uncovered 3 clearly delineated non-overlapping left hemisphere clusters where cortical thinning (atrophy) was significantly correlated with impaired performance. A morphosyntactic cluster associated with the grammaticality of sentence construction was located predominantly within the middle and inferior frontal gyri; a phonolexical cluster associated with language repetition was located in the temporoparietal junction; a lexicosemantic cluster associated with object naming and single word comprehension was located within the middle and anterior parts of the temporal lobe and extended into insular, orbitofrontal, and mediotemporal cortices. Commonality analyses were undertaken to explore whether these three clusters were as modular as indicated by the regression analyses or whether some underlying functional granularity could be uncovered. Modularity was defined as the exclusive association of an anatomical cluster with a single type of language task whereas granularity was defined as the association of a single anatomical cluster with more than one type of language task. The commonality analyses revealed a predominantly modular organization with quantitatively minor instances of inter-cluster granularity. The results also reconfirmed previous work on PPA which had shown that Wernicke's area is not essential for word comprehension, that naming impairments can be based either on deficits of lexical retrieval or word comprehension, and that the essential substrates of word comprehension encompass much wider areas of the temporal lobe than the temporal pole. The anatomy of the language network has traditionally been explored through patients with focal cerebrovascular accidents and experiments based on functional activation. Investigations on PPA are showing that focal neurodegenerations can add new perspectives to existing models of the language network.
Collapse
Affiliation(s)
- M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Christina A Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Alan Kuang
- Northwestern University Feinberg School of Medicine, Department of Preventive Medicine, Chicago, IL, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Adam Martersteck
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Hui Zhang
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Department of Preventive Medicine, Chicago, IL, USA
| | - Cynthia K Thompson
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University School of Communication, Evanston, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, IL, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, IL, USA
| |
Collapse
|
38
|
Persichetti AS, Denning JM, Gotts SJ, Martin A. A Data-Driven Functional Mapping of the Anterior Temporal Lobes. J Neurosci 2021; 41:6038-6049. [PMID: 34083253 PMCID: PMC8276737 DOI: 10.1523/jneurosci.0456-21.2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/03/2021] [Accepted: 05/12/2021] [Indexed: 12/14/2022] Open
Abstract
Although the anterior temporal lobe (ATL) comprises several anatomic and functional subdivisions, it is often reduced to a homogeneous theoretical entity, such as a domain-general convergence zone, or "hub," for semantic information. Methodological limitations are largely to blame for the imprecise mapping of function to structure in the ATL. There are two major obstacles to using fMRI to identify the precise functional organization of the ATL: the difficult choice of stimuli and tasks to activate, and dissociate, specific regions within the ATL; and poor signal quality because of magnetic field distortions near the sinuses. To circumvent these difficulties, we developed a data-driven parcellation routine using resting-state fMRI data (24 females, 64 males) acquired using a sequence that was optimized to enhance signal in the ATL. Focusing on patterns of functional connectivity between each ATL voxel and the rest of the brain, we found that the ATL comprises at least 34 distinct functional parcels that are arranged into bands along the lateral and ventral cortical surfaces, extending from the posterior temporal lobes into the temporal poles. In addition, the anterior region of the fusiform gyrus, most often cited as the location of the semantic hub, was found to be part of a domain-specific network associated with face and social processing, rather than a domain-general semantic hub. These findings offer a fine-grained functional map of the ATL and offer an initial step toward using more precise language to describe the locations of functional responses in this heterogeneous region of human cortex.SIGNIFICANCE STATEMENT The functional role of the anterior aspects of the temporal lobes (ATL) is a contentious issue. While it is likely that different regions within the ATL subserve unique cognitive functions, most studies revert to vaguely referring to particular functional regions as "the ATL," and, thus, the mapping of function to anatomy remains unclear. We used resting-state fMRI connectivity patterns between the ATL and the rest of the brain to reveal that the ATL comprises at least 34 distinct functional parcels that are organized into a three-level functional hierarchy. These results provide a detailed functional map of the anterior temporal lobes that can guide future research on how distinct regions within the ATL support diverse cognitive functions.
Collapse
Affiliation(s)
- Andrew S Persichetti
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892
| | - Joseph M Denning
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892
| | - Stephen J Gotts
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892
| | - Alex Martin
- Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892
| |
Collapse
|
39
|
van Scherpenberg C, Abdel Rahman R, Regenbrecht F, Obrig H. Semantic Interference through Multiple Distractors in Picture Naming in People with Aphasia. J Cogn Neurosci 2021; 33:1612-1633. [PMID: 34496369 DOI: 10.1162/jocn_a_01731] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
When we refer to an object or concept by its name, activation of semantic and categorical information is necessary to retrieve the correct lexical representation. Whereas in neurotypical individuals it is well established that semantic context can interfere with or facilitate lexical retrieval, these effects are much less studied in people with lesions to the language network and impairment at different steps of lexical-semantic processing. Here, we applied a novel picture naming paradigm, where multiple categorically related and unrelated words were presented as distractors before a to-be-named target picture. Using eye tracking, we investigated preferential fixation on the cohort members versus nonmembers. Thereby, we can judge the impact of explicit acknowledgment of the category and its effect on semantic interference. We found that, in contrast to neurotypical participants [van Scherpenberg, C., Abdel Rahman, R., & Obrig, H. A novel multiword paradigm for investigating semantic context effects in language production. PLoS One, 15, e0230439, 2020], participants suffering from mild to moderate aphasia did not show a fixation preference on category members but still showed a large interference effect of ∼35 msec, confirming the implicit mechanism of categorical interference. However, preferential fixation on the categorically related cohort words correlated with clinical tests regarding nonverbal semantic abilities and integrity of the anterior temporal lobe. This highlights the role of supramodal semantics for explicit recognition of a semantic category, while semantic interference is triggered if the threshold of lexical cohort activation is reached. Confirming psycholinguistic evidence, the demonstration of a large and persistent interference effect through implicit lexico-semantic activation is important to understand deficits in people with a lesion in thelanguage network, potentially relevant for individualized intervention aiming at improving naming skills.
Collapse
Affiliation(s)
- Cornelia van Scherpenberg
- Humboldt-Universität zu Berlin.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig.,University Clinic Leipzig
| | | | | | - Hellmuth Obrig
- Humboldt-Universität zu Berlin.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig.,University Clinic Leipzig
| |
Collapse
|
40
|
Sikora J, Stein C, Ubellacker D, Walker A, Tippett DC. Longitudinal decline in spoken word recognition and object knowledge in primary progressive aphasia. Medicine (Baltimore) 2021; 100:e26163. [PMID: 34087875 PMCID: PMC8183769 DOI: 10.1097/md.0000000000026163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 05/11/2021] [Indexed: 11/26/2022] Open
Abstract
The premise of this study is that spoken word recognition and object knowledge are impaired in semantic variant primary progressive aphasia (PPA) (svPPA) and are spared in logopenic variant (lvPPA) and nonfluent agrammatic primary progressive aphasia (nfaPPA) at disease onset. Over time, however, there may be heterogeneity in these abilities in lvPPA and nfaPPA. We hypothesized that individuals with svPPA would demonstrate poorer performance on baseline spoken word recognition and object knowledge than those with lvPPA and nfaPPA) as documented in the literature, but that rates of decline over time on spoken word recognition and object knowledge would be similar in all 3 PPA variants because these become less distinguishable with disease progression.The aim of this study was to investigate longitudinal patterns of decline in spoken word recognition and object knowledge across PPA variants.Ninety-five individuals with PPA completed the Semantic Word Picture Matching and Semantic Associates tests at baseline to establish expected performance in these areas. Thirty-five individuals completed follow-up testing.The distributions of trichotomized mean rates of decline in object knowledge were similar for lvPPA and svPPA (P = .05). There were weak negative correlations between symptom duration and baseline scores on Semantic Word Picture Matching (r[37] = -0.399, P = .01), and baseline scores on Semantic Associates (r[37] = -0.394, P = .01) in lvPPA.Degradation of spoken word recognition and object knowledge occurs over time in lvPPA. Further investigation of the receptive language deficits in PPA is warranted to characterize language changes that lessen the distinctions between PPA variants with disease progression.
Collapse
Affiliation(s)
| | | | | | | | - Donna C. Tippett
- Department of Neurology
- Department of Otolaryngology–Head and Neck Surgery
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD
| |
Collapse
|
41
|
Remley W, Butala N. Glioblastoma Multiforme Masquerading as Stroke. Cureus 2021; 13:e15230. [PMID: 34188980 PMCID: PMC8232924 DOI: 10.7759/cureus.15230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Sudden-onset anomic aphasia is a unique symptom that is suggestive of an acute etiology. This case presents a sudden-onset focal neurological deficit with an underlying brain tumor. A 68-year-old female awoke with sudden-onset anomic aphasia, with mild hypertension as her only medical history. After an initial stroke workup was unremarkable, magnetic resonance imaging found a focal lesion on the left temporal lobe. An electroencephalogram showed lateralized periodic discharge and a focal area of increased epileptic potential in the left temporal lobe. Brain biopsy revealed World Health Organization grade IV glioblastoma, followed by resection. This case is an important reminder that chronic etiologies may present with acute symptoms.
Collapse
Affiliation(s)
- William Remley
- Neurology, Lake Erie College of Osteopathic Medicine, Jacksonville, USA
| | - Nitin Butala
- Neurology, Baptist Medical Center Jacksonville, Jacksonville, USA
| |
Collapse
|
42
|
Breining BL, Faria AV, Caffo B, Meier EL, Sheppard SM, Sebastian R, Tippett DC, Hillis AE. Neural regions underlying object and action naming: Complementary evidence from acute stroke and primary progressive aphasia. APHASIOLOGY 2021; 36:732-760. [PMID: 35832655 PMCID: PMC9272983 DOI: 10.1080/02687038.2021.1907291] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 03/11/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Naming impairment is commonly noted in individuals with aphasia. However, object naming receives more attention than action naming. Furthermore, most studies include participants with aphasia due to only one aetiology, commonly stroke. We developed a new assessment, the Hopkins Action Naming Assessment (HANA), to evaluate action naming impairments. AIMS Our aims were to show that the HANA is a useful tool that can (1) identify action naming impairments and (2) be used to investigate the neural substrates underlying naming. We paired the HANA with the Boston Naming Test (BNT) to compare action and object naming. We considered participants with aphasia due to primary progressive aphasia (PPA) or acute left hemisphere stroke to provide a more comprehensive picture of brain-behaviour relationships critical for naming. Behaviourally, we hypothesised that there would be a double dissociation between object and action naming performance. Neuroanatomically, we hypothesised that different neural substrates would be implicated in object vs. action naming and that different lesion-deficit associations would be identified in participants with PPA vs. acute stroke. METHODS & PROCEDURES Participants (N=138 with PPA, N=37 with acute stroke) completed the BNT and HANA. Behavioural performance was compared. A subset of participants (N=31 with PPA, N=37 with acute stroke) provided neuroimaging data. The whole brain was automatically segmented into regions of interest (ROIs). For participants with PPA, the image variables were the ROI volumes, normalised by the brain volume. For participants with acute stroke, the image variables were the percentage of each ROI affected by the lesion. The relationship between ROIs likely to be involved in naming performance was modelled with LASSO regression. OUTCOMES & RESULTS Behavioural results showed a double dissociation in performance: in each group, some participants displayed intact performance relative to healthy controls on actions but not objects and/or significantly better performance on actions than objects, while others showed the opposite pattern. These results support the need to assess both objects and actions when evaluating naming deficits. Neuroimaging results identified different regions associated with object vs. action naming, implicating overlapping but distinct networks of regions. Furthermore, results differed for participants with PPA vs. acute stroke, indicating that critical information may be missed when only one aetiology is considered. CONCLUSIONS Overall, the study provides a more comprehensive picture of the neural bases of naming, underscoring the importance of assessing both objects and actions and considering different aetiologies of damage. It demonstrates the utility of the HANA.
Collapse
Affiliation(s)
- Bonnie L. Breining
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Andreia V. Faria
- Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Brian Caffo
- Department of Biostatistics, Johns Hopkins School of Public Health, Baltimore, MD 21287, USA
| | - Erin L. Meier
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Shannon M. Sheppard
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
- Department of Communication Sciences & Disorders, Chapman University, Irvine, CA 92618, USA
| | - Rajani Sebastian
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Donna C. Tippett
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
- Department of Cognitive Science, Johns Hopkins University, Baltimore, MD 21218, USA
| |
Collapse
|
43
|
DiNicola LM, Buckner RL. Precision Estimates of Parallel Distributed Association Networks: Evidence for Domain Specialization and Implications for Evolution and Development. Curr Opin Behav Sci 2021; 40:120-129. [PMID: 34263017 DOI: 10.1016/j.cobeha.2021.03.029] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Humans can reason about other minds, comprehend language and imagine. These abilities depend on association regions that exhibit evolutionary expansion and prolonged postnatal development. Precision maps within individuals reveal these expanded zones are populated by multiple specialized networks that each possess a spatially distributed motif but remain anatomically separated throughout the cortex for language, social and mnemonic / spatial functions. Rather than converge on multi-domain regions or hubs, these networks include distinct regions within rostral prefrontal and temporal association zones. To account for these observations, we propose the expansion-fractionation-specialization (EFS) hypothesis: evolutionary expansion of human association cortex may have allowed for an archetype distributed network to fractionate into multiple specialized networks. Human development may recapitulate fractionation and specialization when these abilities emerge.
Collapse
Affiliation(s)
- Lauren M DiNicola
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138 USA
| | - Randy L Buckner
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138 USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129 USA.,Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129 USA
| |
Collapse
|
44
|
Graessner A, Zaccarella E, Friederici AD, Obrig H, Hartwigsen G. Dissociable contributions of frontal and temporal brain regions to basic semantic composition. Brain Commun 2021; 3:fcab090. [PMID: 34159319 PMCID: PMC8212833 DOI: 10.1093/braincomms/fcab090] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/16/2021] [Accepted: 04/08/2021] [Indexed: 11/26/2022] Open
Abstract
Semantic composition is the ability to combine single words to form complex meanings and is an essential component for successful communication. Evidence from neuroimaging studies suggests that semantic composition engages a widely distributed left-hemispheric network, including the anterior temporal lobe, the inferior frontal gyrus and the angular gyrus. To date, the functional relevance of these regions remains unclear. Here, we investigate the impact of lesions to key regions in the semantic network on basic semantic composition. We conducted a multivariate lesion-behaviour mapping study in 36 native German speaking participants with chronic lesions to the language network after left-hemispheric stroke. During the experiment, participants performed a plausibility judgement task on auditorily presented adjective-noun phrases that were either meaningful (‘anxious horse’), anomalous (‘anxious salad’) or had the noun replaced by a pseudoword (‘anxious gufel’), as well as a single-word control condition (‘horse’). We observed that reduced accuracy for anomalous phrases is associated with lesions in left anterior inferior frontal gyrus, whereas increased reaction times for anomalous phrases correlates with lesions in anterior-to-mid temporal lobe. These results indicate that anterior inferior frontal gyrus is relevant for accurate semantic decisions, while anterior-to-mid temporal lobe lesions lead to slowing of the decision for anomalous two-word phrases. These differential effects of lesion location support the notion that anterior inferior frontal gyrus affords executive control for decisions on semantic composition while anterior-to-mid temporal lobe lesions slow the semantic processing of the individual constituents of the phrase.
Collapse
Affiliation(s)
- Astrid Graessner
- Lise-Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.,Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Emiliano Zaccarella
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Angela D Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Hellmuth Obrig
- Clinic for Cognitive Neurology, University Leipzig, 04103 Leipzig, Germany.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Gesa Hartwigsen
- Lise-Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.,Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| |
Collapse
|
45
|
Marson F, Lasaponara S, Cavallo M. A Scoping Review of Neuromodulation Techniques in Neurodegenerative Diseases: A Useful Tool for Clinical Practice? ACTA ACUST UNITED AC 2021; 57:medicina57030215. [PMID: 33673455 PMCID: PMC7997187 DOI: 10.3390/medicina57030215] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 02/14/2021] [Accepted: 02/23/2021] [Indexed: 12/16/2022]
Abstract
Background and Objectives: Neurodegenerative diseases that typically affect the elderly such as Alzheimer’s disease, Parkinson’s disease and frontotemporal dementia are typically characterised by significant cognitive impairment that worsens significantly over time. To date, viable pharmacological options for the cognitive symptoms in these clinical conditions are lacking. In recent years, various studies have employed neuromodulation techniques to try and contrast patients’ decay. Materials and Methods: We conducted an in-depth literature review of the state-of-the-art of the contribution of these techniques across these neurodegenerative diseases. Results: The present review reports that neuromodulation techniques targeting cognitive impairment do not allow to draw yet any definitive conclusion about their clinical efficacy although preliminary evidence is very encouraging. Conclusions: Further and more robust studies should evaluate the potentialities and limitations of the application of these promising therapeutic tools to neurodegenerative diseases.
Collapse
Affiliation(s)
- Fabio Marson
- Research Institute for Neuroscience, Education and Didactics, Fondazione Patrizio Paoletti, 06081 Assisi, Italy;
- Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy
| | - Stefano Lasaponara
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy;
- Department of Human Sciences, LUMSA University, 00193 Rome, Italy
| | - Marco Cavallo
- Faculty of Psychology, eCampus University, 22060 Novedrate, Italy
- Clinical Psychology Service, Saint George Foundation, 12030 Cavallermaggiore, Italy
- Correspondence: ; Tel.: +39-3478306430
| |
Collapse
|
46
|
Giannini LAA, Peterson C, Ohm D, Xie SX, McMillan CT, Raskovsky K, Massimo L, Suh E, Van Deerlin VM, Wolk DA, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Frontotemporal lobar degeneration proteinopathies have disparate microscopic patterns of white and grey matter pathology. Acta Neuropathol Commun 2021; 9:30. [PMID: 33622418 PMCID: PMC7901087 DOI: 10.1186/s40478-021-01129-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 02/07/2021] [Indexed: 01/10/2023] Open
Abstract
Frontotemporal lobar degeneration proteinopathies with tau inclusions (FTLD-Tau) or TDP-43 inclusions (FTLD-TDP) are associated with clinically similar phenotypes. However, these disparate proteinopathies likely differ in cellular severity and regional distribution of inclusions in white matter (WM) and adjacent grey matter (GM), which have been understudied. We performed a neuropathological study of subcortical WM and adjacent GM in a large autopsy cohort (n = 92; FTLD-Tau = 37, FTLD-TDP = 55) using a validated digital image approach. The antemortem clinical phenotype was behavioral-variant frontotemporal dementia (bvFTD) in 23 patients with FTLD-Tau and 42 with FTLD-TDP, and primary progressive aphasia (PPA) in 14 patients with FTLD-Tau and 13 with FTLD-TDP. We used linear mixed-effects models to: (1) compare WM pathology burden between proteinopathies; (2) investigate the relationship between WM pathology burden and WM degeneration using luxol fast blue (LFB) myelin staining; (3) study regional patterns of pathology burden in clinico-pathological groups. WM pathology burden was greater in FTLD-Tau compared to FTLD-TDP across regions (beta = 4.21, SE = 0.34, p < 0.001), and correlated with the degree of WM degeneration in both FTLD-Tau (beta = 0.32, SE = 0.10, p = 0.002) and FTLD-TDP (beta = 0.40, SE = 0.08, p < 0.001). WM degeneration was greater in FTLD-Tau than FTLD-TDP particularly in middle-frontal and anterior cingulate regions (p < 0.05). Distinct regional patterns of WM and GM inclusions characterized FTLD-Tau and FTLD-TDP proteinopathies, and associated in part with clinical phenotype. In FTLD-Tau, WM pathology was particularly severe in the dorsolateral frontal cortex in nonfluent-variant PPA, and GM pathology in dorsolateral and paralimbic frontal regions with some variation across tauopathies. Differently, FTLD-TDP had little WM regional variability, but showed severe GM pathology burden in ventromedial prefrontal regions in both bvFTD and PPA. To conclude, FTLD-Tau and FTLD-TDP proteinopathies have distinct severity and regional distribution of WM and GM pathology, which may impact their clinical presentation, with overall greater severity of WM pathology as a distinguishing feature of tauopathies.
Collapse
Affiliation(s)
- Lucia A A Giannini
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
- Department of Neurology, Alzheimer Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Daniel Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Katya Raskovsky
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Lauren Massimo
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - EunRah Suh
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA.
| |
Collapse
|
47
|
Zhang B, Chang J, Park J, Tan Z, Tang L, Lyu T, Han Y, Fan R, Gao Y, Kong J. Uncinate fasciculus and its cortical terminals in aphasia after subcortical stroke: A multi-modal MRI study. NEUROIMAGE-CLINICAL 2021; 30:102597. [PMID: 33684729 PMCID: PMC7941046 DOI: 10.1016/j.nicl.2021.102597] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 12/29/2020] [Accepted: 02/11/2021] [Indexed: 10/27/2022]
Abstract
Aphasia, one of the most common cognitive impairments after stroke, is commonly considered to be a cortical deficit. However, many studies have reported cases of post subcortical stroke aphasia (PSSA). The pathology and recovery mechanism of PSSA remain unclear. This study aimed to investigate PSSA mechanism through a multimodal magnetic resonance imaging (MRI) approach and a two-session study design (baseline and one month after treatment). Thirty-six PSSA patients and twenty-four matched healthy controls (HC) were included. All patients had subcortical infarctions involving left subcortical white matter for 1 to 6 months. The patients underwent MRI scan and Western Aphasia Battery (WAB) examination before and after one month's comprehensive treatment. Region-wise lesion-symptom mapping (RLSM), tractography, fractional anisotropy (FA), and amplitude of low-frequency fluctuations (ALFF) analysis were conducted. After MRI preprocessing and exclusion, FA analysis included 35 patients pre-treatment and 16 patients post-treatment. ALFF analysis included 30 patients pre-treatment and 14 patients post-treatment. We found: 1) the amount of damage in the left uncinate fasciculus (UF) was associated with WAB aphasia quotient (AQ); 2) the left UF FA and left temporal pole (TP) ALFF were decreased and positively correlated with WAB-AQ, spontaneous speech, and naming in PSSA patients; and 3) PSSA patients showed increased left TP ALFF when their language ability recovered after treatment. The left TP ALFF change was positively correlated with AQ change. Our results demonstrate the importance of left UF and left TP (one of the cortical terminals of the left UF) in PSSA pathology and recovery. These results may further provide support for the disconnection theory in the mechanism of PSSA.
Collapse
Affiliation(s)
- Binlong Zhang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China; Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jingling Chang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China; Key Laboratory of Encephalopathy Treatment of Chinese Medicine, State Administration of Traditional Chinese Medicine of the Peoples Republic of China, Beijing, China
| | - Joel Park
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Zhongjian Tan
- Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lu Tang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Tianli Lyu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yi Han
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China; Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ruiwen Fan
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ying Gao
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China; Key Laboratory of Encephalopathy Treatment of Chinese Medicine, State Administration of Traditional Chinese Medicine of the Peoples Republic of China, Beijing, China.
| | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
48
|
Herlin B, Navarro V, Dupont S. The temporal pole: From anatomy to function-A literature appraisal. J Chem Neuroanat 2021; 113:101925. [PMID: 33582250 DOI: 10.1016/j.jchemneu.2021.101925] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/29/2021] [Accepted: 01/30/2021] [Indexed: 12/22/2022]
Abstract
Historically, the anterior part of the temporal lobe was labelled as a unique structure named Brain Area 38 by Brodmann or Temporopolar Area TG by Von Economo, but its functions were unknown at that time. Later on, a few studies proposed to divide the temporal pole in several different subparts, based on distinct cytoarchitectural structure or connectivity patterns, while a still growing number of studies have associated the temporal pole with many cognitive functions. In this review, we provide an overview of the temporal pole anatomical and histological structure and its various functions. We performed a literature review of articles published prior to September 30, 2020 that included 112 articles. The temporal pole has thereby been associated with several high-level cognitive processes: visual processing for complex objects and face recognition, autobiographic memory, naming and word-object labelling, semantic processing in all modalities, and socio-emotional processing, as demonstrated in healthy subjects and in patients with neurological or psychiatric diseases, especially in the field of neurodegenerative disorders. A good knowledge of those functions and the symptoms associated with temporal pole lesions or dysfunctions is helpful to identify these diseases, whose diagnosis may otherwise be difficult.
Collapse
Affiliation(s)
- Bastien Herlin
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France.
| | - Vincent Navarro
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Neurophysiology Unit, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France
| | - Sophie Dupont
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Rehabilitation Unit, Paris, France
| |
Collapse
|
49
|
Barbieri E, Litcofsky KA, Walenski M, Chiappetta B, Mesulam MM, Thompson CK. Online sentence processing impairments in agrammatic and logopenic primary progressive aphasia: Evidence from ERP. Neuropsychologia 2021; 151:107728. [PMID: 33326758 PMCID: PMC7875464 DOI: 10.1016/j.neuropsychologia.2020.107728] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 10/22/2022]
Abstract
Evidence from psycholinguistic research indicates that sentence processing is impaired in Primary Progressive Aphasia (PPA), and more so in individuals with agrammatic (PPA-G) than logopenic (PPA-L) subtypes. Studies have mostly focused on offline sentence production ability, reporting impaired production of verb morphology (e.g., tense, agreement) and verb-argument structure (VAS) in PPA-G, and mixed findings in PPA-L. However, little is known about real-time sentence comprehension in PPA. The present study is the first to compare real-time semantic, morphosyntactic and VAS processing in individuals with PPA (10 with PPA-G and 9 with PPA-L), and in two groups of healthy (22 young and 19 older) individuals, using event-related potentials (ERP). Participants were instructed to listen to sentences that were either well-formed (n = 150) or contained a violation of semantics (e.g., *Owen was mentoring pumpkins at the party, n = 50), morphosyntax (e.g., *The actors was singing in the theatre, n = 50) or VAS (*Ryan was devouring on the couch, n = 50), and were required to perform a sentence acceptability judgment task while EEG was recorded. Results indicated that in the semantic task both healthy and PPA groups showed an N400 response to semantic violations, which was delayed in PPA and older (vs. younger) groups. Morphosyntactic violations elicited a P600 in both groups of healthy individuals and in PPA-L, but not in PPA-G. A similar P600 response was also found only in healthy individuals for VAS violations; whereas, abnormal ERP responses were observed in both PPA groups, with PPA-G showing no evidence of VAS violation detection and PPA-L showing a delayed and abnormally-distributed positive component that was negatively associated with offline sentence comprehension scores. These findings support characterizations of sentence processing impairments in PPA-G, by providing online evidence that VAS and morphosyntactic processing are impaired, in the face of substantially preserved semantic processing. In addition, the results indicate that on-line processing of VAS information may also be impaired in PPA-L, despite their near-normal accuracy on standardized language tests of argument structure production.
Collapse
Affiliation(s)
- Elena Barbieri
- Aphasia and Neurolinguistics Research Laboratory, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States.
| | - Kaitlyn A Litcofsky
- Aphasia and Neurolinguistics Research Laboratory, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
| | - Matthew Walenski
- Aphasia and Neurolinguistics Research Laboratory, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
| | - Brianne Chiappetta
- Aphasia and Neurolinguistics Research Laboratory, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
| | - Marek-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, United States; Department of Neurology, Northwestern University, Chicago, IL, United States
| | - Cynthia K Thompson
- Aphasia and Neurolinguistics Research Laboratory, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States; Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, United States; Department of Neurology, Northwestern University, Chicago, IL, United States
| |
Collapse
|
50
|
Mesulam MM, Coventry C, Bigio EH, Geula C, Thompson C, Bonakdarpour B, Gefen T, Rogalski EJ, Weintraub S. Nosology of Primary Progressive Aphasia and the Neuropathology of Language. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:33-49. [PMID: 33433867 PMCID: PMC8103786 DOI: 10.1007/978-3-030-51140-1_3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Primary progressive aphasia (PPA) is a dementia syndrome associated with several neuropathologic entities, including Alzheimer's disease (AD) and all major forms of frontotemporal lobar degeneration (FTLD). It is classified into subtypes defined by the nature of the language domain that is most impaired. The asymmetric neurodegeneration of the hemisphere dominant for language (usually left) is one consistent feature of all PPA variants. This feature offers unique opportunities for exploring mechanisms of selective vulnerability in neurodegenerative diseases and the neuroanatomy of language. This chapter reviews some of the current trends in PPA research as well as the challenges that remain to be addressed on the nosology, clinicopathologic correlations, and therapy of this syndrome.
Collapse
Affiliation(s)
- M -Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Neurology, Northwestern University, Chicago, IL, USA.
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Eileen H Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Pathology, Northwestern University, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Cynthia Thompson
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Communication Sciences and Disorders; Department of Neurology, Northwestern University, Evanston, IL, USA
| | - Borna Bonakdarpour
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease; Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| |
Collapse
|