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Yu L, Dugan P, Doyle W, Devinsky O, Friedman D, Flinker A. A left-lateralized dorsolateral prefrontal network for naming. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594403. [PMID: 38798614 PMCID: PMC11118423 DOI: 10.1101/2024.05.15.594403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The ability to connect the form and meaning of a concept, known as word retrieval, is fundamental to human communication. While various input modalities could lead to identical word retrieval, the exact neural dynamics supporting this convergence relevant to daily auditory discourse remain poorly understood. Here, we leveraged neurosurgical electrocorticographic (ECoG) recordings from 48 patients and dissociated two key language networks that highly overlap in time and space integral to word retrieval. Using unsupervised temporal clustering techniques, we found a semantic processing network located in the middle and inferior frontal gyri. This network was distinct from an articulatory planning network in the inferior frontal and precentral gyri, which was agnostic to input modalities. Functionally, we confirmed that the semantic processing network encodes word surprisal during sentence perception. Our findings characterize how humans integrate ongoing auditory semantic information over time, a critical linguistic function from passive comprehension to daily discourse.
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Affiliation(s)
- Leyao Yu
- Department of Biomedical Engineering, New York University, New York, 10016, New York, the United States
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Patricia Dugan
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Werner Doyle
- Department of Neurosurgery, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Orrin Devinsky
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Daniel Friedman
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Adeen Flinker
- Department of Biomedical Engineering, New York University, New York, 10016, New York, the United States
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
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Putcha D, Eustace A, Carvalho N, Wong B, Quimby M, Dickerson BC. Auditory naming is impaired in posterior cortical atrophy and early-onset Alzheimer's disease. Front Neurosci 2024; 18:1342928. [PMID: 38327846 PMCID: PMC10847232 DOI: 10.3389/fnins.2024.1342928] [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: 11/22/2023] [Accepted: 01/05/2024] [Indexed: 02/09/2024] Open
Abstract
Introduction Visual naming ability reflects semantic memory retrieval and is a hallmark deficit of Alzheimer's disease (AD). Naming impairment is most prominently observed in the late-onset amnestic and logopenic variant Primary Progressive Aphasia (lvPPA) syndromes. However, little is known about how other patients across the atypical AD syndromic spectrum perform on tests of auditory naming, particularly those with primary visuospatial deficits (Posterior Cortical Atrophy; PCA) and early onset (EOAD) syndromes. Auditory naming tests may be of particular relevance to more accurately measuring anomia in PCA syndrome and in others with visual perceptual deficits. Methods Forty-six patients with biomarker-confirmed AD (16 PCA, 12 lvPPA, 18 multi-domain EOAD), at the stage of mild cognitive impairment or mild dementia, were administered the Auditory Naming Test (ANT). Performance differences between groups were evaluated using one-way ANOVA and post-hoc t-tests. Correlation analyses were used to examine ANT performance in relation to measures of working memory and word retrieval to elucidate cognitive mechanisms underlying word retrieval deficits. Whole-cortex general linear models were generated to determine the relationship between ANT performance and cortical atrophy. Results Based on published cutoffs, out of a total possible score of 50 on the ANT, 56% of PCA patients (mean score = 45.3), 83% of EOAD patients (mean = 39.2), and 83% of lvPPA patients (mean = 29.8) were impaired. Total uncued ANT performance differed across groups, with lvPPA performing most poorly, followed by EOAD, and then PCA. ANT performance was still impaired in lvPPA and EOAD after cuing, while performance in PCA patients improved to the normal range with phonemic cues. ANT performance was also directly correlated with measures of verbal fluency and working memory, and was associated with cortical atrophy in a circumscribed semantic language network. Discussion Auditory confrontation naming is impaired across the syndromic spectrum of AD including in PCA and EOAD, and is likely related to auditory-verbal working memory and verbal fluency which represent the nexus of language and executive functions. The left-lateralized semantic language network was implicated in ANT performance. Auditory naming, in the absence of a visual perceptual demand, may be particularly sensitive to measuring naming deficits in PCA.
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Affiliation(s)
- Deepti Putcha
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Ana Eustace
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Nicole Carvalho
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Bonnie Wong
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Megan Quimby
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Bradford C. Dickerson
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
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Georgiou EZ, Skondra M, Charalampopoulou M, Felemegkas P, Pachi A, Stafylidou G, Papazachariou D, Perneczky R, Thomopoulos V, Politis A, Leroi I, Economou P, Alexopoulos P. Validation of the test for finding word retrieval deficits (WoFi) in detecting Alzheimer's disease in a naturalistic clinical setting. Eur J Ageing 2023; 20:29. [PMID: 37389678 DOI: 10.1007/s10433-023-00772-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Detecting impaired naming capacity contributes to the detection of mild (MildND) and major (MajorND) neurocognitive disorder due to Alzheimer's disease (AD). The Test for Finding Word retrieval deficits (WoFi) is a new, 50-item, auditory stimuli-based instrument. OBJECTIVE The study aimed to adapt WoFi to the Greek language, to develop a short version of WoFi (WoFi-brief), to compare the item frequency and the utility of both instruments with the naming subtest of the widely used Addenbrooke's cognitive examination III (ACEIIINaming) in detecting MildND and MajorND due to AD. METHODS This cross-sectional, validation study included 99 individuals without neurocognitive disorder, as well as 114 and 49 patients with MildND and MajorND due to AD, respectively. The analyses included categorical principal components analysis using Cramer's V, assessment of the frequency of test items based on corpora of television subtitles, comparison analyses, Kernel Fisher discriminant analysis models, proportional odds logistic regression (POLR) models and stratified repeated random subsampling used to recursive partitioning to training and validation set (70/30 ratio). RESULTS WoFi and WoFi-brief, which consists of 16 items, have comparable item frequency and utility and outperform ACEIIINaming. According to the results of the discriminant analysis, the misclassification error was 30.9%, 33.6% and 42.4% for WoFi, WoFi-brief and ACEIIINaming, respectively. In the validation regression model including WoFi the mean misclassification error was 33%, while in those including WoFi-brief and ACEIIINaming it was 31% and 34%, respectively. CONCLUSIONS WoFi and WoFi-brief are more effective in detecting MildND and MajorND due to AD than ACEIIINaming.
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Affiliation(s)
- Eleni-Zacharoula Georgiou
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece
| | - Maria Skondra
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece
| | - Marina Charalampopoulou
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece
| | - Panagiotis Felemegkas
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece
| | - Asimina Pachi
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece
| | - Georgia Stafylidou
- Department of Speech and Language Therapy, School of Health Rehabilitation Sciences, University of Patras, Patras, Greece
| | - Dimitrios Papazachariou
- Department of Philology, School of Humanities and Social Sciences, University of Patras, Patras, Greece
| | - Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology and Medicine, London, UK
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Sheffield Institute for Translational Neurosciences (SITraN), University of Sheffield, Sheffield, UK
| | - Vasileios Thomopoulos
- Large-Scale Machine Learning and Cloud Data Engineering Laboratory (ML@Cloud-Lab), Department of Computer Engineering and Informatics, School of Engineering, University of Patras, Patras, Greece
| | - Antonios Politis
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry, Division of Geriatric Psychiatry and Neuropsychiatry, Johns Hopkins Medical School, Baltimore, USA
| | - Iracema Leroi
- Global Brain Health Institute, Medical School, Trinity College Dublin, The University of Dublin, Dublin, Republic of Ireland
| | - Polychronis Economou
- Department of Civil Engineering (Statistics), School of Engineering, University of Patras, Patras, Greece
| | - Panagiotis Alexopoulos
- Mental Health Services, Patras University General Hospital, Department of Medicine, School of Health Sciences, University of Patras, Patras, Greece.
- Global Brain Health Institute, Medical School, Trinity College Dublin, The University of Dublin, Dublin, Republic of Ireland.
- Department of Psychiatry and Psychotherapy, Klinikum rechts der isar, Faculty of Medicine, Technical University of Munich, Munich, Germany.
- Patras Dementia Day Care Centre, Patras, Greece.
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Yap SM, Davenport L, Cogley C, Craddock F, Kennedy A, Gaughan M, Kearney H, Tubridy N, De Looze C, O'Keeffe F, Reilly RB, McGuigan C. Word finding, prosody and social cognition in multiple sclerosis. J Neuropsychol 2023; 17:32-62. [PMID: 35822290 DOI: 10.1111/jnp.12285] [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: 11/23/2021] [Accepted: 03/29/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Impairments in speech and social cognition have been reported in people with multiple sclerosis (pwMS), although their relationships with neuropsychological outcomes and their clinical utility in MS are unclear. OBJECTIVES To evaluate word finding, prosody and social cognition in pwMS relative to healthy controls (HC). METHODS We recruited people with relapsing MS (RMS, n = 21), progressive MS (PMS, n = 24) and HC (n = 25) from an outpatient MS clinic. Participants completed a battery of word-finding, social cognitive, neuropsychological and clinical assessments and performed a speech task for prosodic analysis. RESULTS Of 45 pwMS, mean (SD) age was 49.4 (9.4) years, and median (range) Expanded Disability Severity Scale score was 3.5 (1.0-6.5). Compared with HC, pwMS were older and had slower information processing speed (measured with the Symbol Digit Modalities Test, SDMT) and higher depression scores. Most speech and social cognitive measures were associated with information processing speed but not with depression. Unlike speech, social cognition consistently correlated with intelligence and memory. Visual naming test mean response time (VNT-MRT) demonstrated worse outcomes in MS versus HC (p = .034, Nagelkerke's R2 = 65.0%), and in PMS versus RMS (p = .009, Nagelkerke's R2 = 50.2%). Rapid automatised object naming demonstrated worse outcomes in MS versus HC (p = .014, Nagelkerke's R2 = 49.1%). These word-finding measures showed larger effect sizes than that of the SDMT (MS vs. HC, p = .010, Nagelkerke's R2 = 40.6%; PMS vs. RMS, p = .023, Nagelkerke's R2 = 43.5%). Prosody and social cognition did not differ between MS and HC. CONCLUSIONS Word finding, prosody and social cognition in MS are associated with information processing speed and largely independent of mood. Impairment in visual object meaning perception is potentially a unique MS disease-related deficit that could be further explored and cautiously considered as an adjunct disability metric for MS.
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Affiliation(s)
- Siew Mei Yap
- Department of Neurology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
| | - Laura Davenport
- Neuropsychology Service, Department of Psychology, St. Vincent's University Hospital, Dublin 4, Ireland
| | - Clodagh Cogley
- Neuropsychology Service, Department of Psychology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Psychology, University College Dublin, Dublin, Ireland
| | - Fiona Craddock
- Neuropsychology Service, Department of Psychology, St. Vincent's University Hospital, Dublin 4, Ireland
| | - Alex Kennedy
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin 2, Ireland
| | - Maria Gaughan
- Department of Neurology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
| | - Hugh Kearney
- Department of Neurology, St. Vincent's University Hospital, Dublin 4, Ireland
| | - Niall Tubridy
- Department of Neurology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
| | - Céline De Looze
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin 2, Ireland
| | - Fiadhnait O'Keeffe
- Neuropsychology Service, Department of Psychology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Psychology, University College Dublin, Dublin, Ireland
| | - Richard B Reilly
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin 2, Ireland.,School of Medicine, Trinity College, The University of Dublin, Dublin 2, Ireland.,School of Engineering, Trinity College, The University of Dublin, Dublin 2, Ireland
| | - Christopher McGuigan
- Department of Neurology, St. Vincent's University Hospital, Dublin 4, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
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