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Malaguti MC, Longo C, Moroni M, Ragni F, Bovo S, Chierici M, Gios L, Avanzino L, Marchese R, Di Biasio F, Pardini M, Cerne D, Mandich P, Marenco M, Uccelli A, Giometto B, Jurman G, Osmani V. Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study. Eur J Neurol 2025; 32:e70118. [PMID: 40304115 PMCID: PMC12041891 DOI: 10.1111/ene.70118] [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: 11/17/2024] [Revised: 02/24/2025] [Accepted: 02/27/2025] [Indexed: 05/02/2025]
Abstract
BACKGROUND Postural instability and gait difficulties are key symptoms of Parkinson's disease (PD), elevating the risk of falls substantially. Falls afflict 35% to 90% of PD patients, representing a major challenge in managing the condition. Accurate prediction of fall risk and identification of contributing factors are essential for timely interventions. OBJECTIVES Our objective was to develop and validate a machine learning (ML) algorithm across multiple centers in Italy to accurately forecast fall risk and identify related factors using routinely collected clinical data. METHODS Patient data from two Italian centers (N = 251) were divided into a training cohort (N = 164) for ML model development and a validation cohort (N = 87). External validation was conducted on a subset of PPMI study patients (N = 65). We compared the performance of logistic regression (LR) and Support Vector Classifier (SVC) models trained on clinical data. The Shapley Additive exPlanations (SHAP) method was employed to examine the predictive power of individual variables. RESULTS In the training set, SVC outperformed LR slightly (AUC: LR = 0.779 ± 0.054, SVC = 0.792 ± 0.056). However, LR demonstrated better prediction accuracy in both internal (AUC: LR = 0.753, SVC = 0.733) and external validation cohorts (AUC: LR = 0.714, SVC = 0.676). SHAP analysis on the LR model revealed associations between fall risk and both motor and non-motor variables. CONCLUSIONS ML-based models effectively estimate fall risk across different clinical centers, enabling tailored interventions to enhance PD patients' quality of life. Challenges persist in predicting falls in US-based patients due to demographic and healthcare system differences.
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Affiliation(s)
| | - Chiara Longo
- Azienda Provinciale per i Servizi Sanitari (APSS) di TrentoTrentoItaly
| | | | | | | | | | - Lorenzo Gios
- TrentinoSalute4.0 – Competence Center for Digital Health of the Province of TrentoTrentoItaly
| | - Laura Avanzino
- Department of Experimental Medicine, Section of Human PhysiologyUniversity of GenoaGenoaItaly
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
| | | | | | - Matteo Pardini
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child HealthUniversity of GenoaGenoaItaly
| | - Denise Cerne
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child HealthUniversity of GenoaGenoaItaly
| | - Paola Mandich
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child HealthUniversity of GenoaGenoaItaly
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Jellinger KA. Behavioral disorders in Parkinson disease: current view. J Neural Transm (Vienna) 2025; 132:169-201. [PMID: 39453553 DOI: 10.1007/s00702-024-02846-3] [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: 08/27/2024] [Accepted: 10/02/2024] [Indexed: 10/26/2024]
Abstract
Patients with Parkinson disease (PD) frequently experience several behavioral symptoms, such as anxiety, apathy, irritability, agitation, impulsive control and obsessive-compulsive or REM sleep behavior disorders, which can cause severe psychosocial problems and impair quality of life. Occurring in 30-70% of PD patients, these symptoms can manifest at early stages of the disease, sometimes even before the appearance of classic motor symptoms, while others can develop later. Behavioral changes in PD show distinct patterns of brain atrophy, dopaminergic and serotonergic deterioration, altered neuronal connectivity in frontostriatal, corticolimbic, default mode and other networks due to a cascade linking molecular pathologies and deficits in multiple behavior domains. The changes suggest a multi-system neurodegenerative process in the context of a specific α-synucleinopathy inducing a variety of biochemical and functional changes, the neurobiological basis and clinical relevance of which await further elucidation. This paper is intended to review the recent literature with focus on the main behavioral disturbances in PD patients, their epidemiology, clinical features, risk factors, animal models, neuroimaging findings, pathophysiological backgrounds, and treatment options of these deleterious lesions.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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3
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Jan D, López-Pigüi J, Padrón I, de Vega M. Semantic inhibition impairment in college students with depressive states as evidenced by EEG and pupillometry during the hayling task. Sci Rep 2024; 14:24089. [PMID: 39406801 PMCID: PMC11480467 DOI: 10.1038/s41598-024-75511-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 10/07/2024] [Indexed: 10/19/2024] Open
Abstract
In this study we tested whether depression is associated with impaired semantic inhibition, resulting in symptoms of rumination and anhedonia. For this purpose and using the Beck Depression Inventory II (BDI-II) college students with depressive states (DEP) and matched controls (CTL) performed a Hayling's task, while EEG and pupillometry measures were recorded. Participants were asked to complete sentential contexts with either a highly associated word (initiation) or a non-related word (inhibition), in response to randomly presented trial-by-trial cues. The DEP group, compared to the CTL group, showed lower performance, and reduced frontal negativity (N450) in inhibition trials. Source analyses revealed greater activation for inhibition trials than for initiation trials in bilateral orbitofrontal cortex for the CTL group, but the difference was reduced and more left lateralized for the DEP group. In addition, the DEP group showed more pupil size reactivity to inhibition trials than the CTL group, indicating higher cognitive effort during semantic inhibition. Finally, self-reported rumination and anhedonia correlated with N450 in inhibition trials, and rumination correlated with pupil dilation. Overall, this research contributes to understanding the neural underpinnings of impaired semantic inhibition in individuals with depression, with potential clinical applications.
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Affiliation(s)
- D Jan
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Santa Cruz de Tenerife, 38200, La Laguna, Spain
| | - J López-Pigüi
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Santa Cruz de Tenerife, 38200, La Laguna, Spain
- Department of Psychology, Faculty of Health Sciences, University of Hull, Hull, HU6 7RX, UK
| | - Iván Padrón
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Santa Cruz de Tenerife, 38200, La Laguna, Spain.
- Departamento de Psicología Evolutiva y de la Educación, Universidad de La Laguna, Santa Cruz de Tenerife, 38200, La Laguna, Spain.
- Departamento Psicología Evolutiva y de la Educación. Campus de Guajara, Universidad de La Laguna, Santa Cruz de Tenerife, Apartado 456, La Laguna, CP 38200, Spain.
| | - M de Vega
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Santa Cruz de Tenerife, 38200, La Laguna, Spain
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Coolen T, Mihai Dumitrescu A, Wens V, Bourguignon M, Rovai A, Sadeghi N, Urbain C, Goldman S, De Tiège X. Spectrotemporal cortical dynamics and semantic control during sentence completion. Clin Neurophysiol 2024; 163:90-101. [PMID: 38714152 DOI: 10.1016/j.clinph.2024.04.012] [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: 01/23/2024] [Revised: 03/27/2024] [Accepted: 04/14/2024] [Indexed: 05/09/2024]
Abstract
OBJECTIVE To investigate cortical oscillations during a sentence completion task (SC) using magnetoencephalography (MEG), focusing on the semantic control network (SCN), its leftward asymmetry, and the effects of semantic control load. METHODS Twenty right-handed adults underwent MEG while performing SC, consisting of low cloze (LC: multiple responses) and high cloze (HC: single response) stimuli. Spectrotemporal power modulations as event-related synchronizations (ERS) and desynchronizations (ERD) were analyzed: first, at the whole-brain level; second, in key SCN regions, posterior middle/inferior temporal gyri (pMTG/ITG) and inferior frontal gyri (IFG), under different semantic control loads. RESULTS Three cortical response patterns emerged: early (0-200 ms) theta-band occipital ERS; intermediate (200-700 ms) semantic network alpha/beta-band ERD; late (700-3000 ms) dorsal language stream alpha/beta/gamma-band ERD. Under high semantic control load (LC), pMTG/ITG showed prolonged left-sided engagement (ERD) and right-sided inhibition (ERS). Left IFG exhibited heightened late (2500-2550 ms) beta-band ERD with increased semantic control load (LC vs. HC). CONCLUSIONS SC involves distinct cortical responses and depends on the left IFG and asymmetric engagement of the pMTG/ITG for semantic control. SIGNIFICANCE Future use of SC in neuromagnetic preoperative language mapping and for understanding the pathophysiology of language disorders in neurological conditions.
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Affiliation(s)
- Tim Coolen
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium; Université Libre de Bruxelles, Hôpital Universitaire de Bruxelles (HUB), CUB Hôpital Erasme, Department of Radiology, Brussels, Belgium.
| | - Alexandru Mihai Dumitrescu
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium
| | - Vincent Wens
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium
| | - Mathieu Bourguignon
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium; Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratory of Neurophysiology and Movement Biomechanics, Brussels, Belgium
| | - Antonin Rovai
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium
| | - Niloufar Sadeghi
- Université Libre de Bruxelles, Hôpital Universitaire de Bruxelles (HUB), CUB Hôpital Erasme, Department of Radiology, Brussels, Belgium
| | - Charline Urbain
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium; Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Centre for Research in Cognition and Neurosciences (CRCN), Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), Brussels, Belgium
| | - Serge Goldman
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium
| | - Xavier De Tiège
- Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et Neuroimagerie Translationnelles (LN(2)T), Brussels, Belgium
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Brunel J, Delord S, Mathey S. Inhibition in the emotional Hayling task: can hypnotic suggestion enhance cognitive control on a prepotent negative word? Cogn Emot 2024:1-9. [PMID: 38888553 DOI: 10.1080/02699931.2024.2367712] [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: 12/08/2023] [Accepted: 06/09/2024] [Indexed: 06/20/2024]
Abstract
Recent studies suggest that instrumental hypnosis is a useful experimental tool to investigate emotional and language processing effects. However, the capacity of hypnotic suggestions to intervene during the response inhibition of emotional words remains elusive. This study investigated whether hypnotic suggestion can improve the inhibition of prepotent negative word responses in an emotional Hayling sentence completion task. High-suggestible participants performed a computerised emotional Hayling task. They were first asked to select the appropriate words ending highly predictable sentences among two propositions (initiation part), and then to select the filler words that did not end the sentences correctly (inhibition part). Half of the expected final words had a negative emotional valence, while the other half was neutral. The task was performed in a control condition (without suggestion) and with a hypnotic suggestion to decrease emotional reactivity. The results revealed that hypnotic suggestion (compared to the control condition) hastened response times on negative final words in the inhibition part, showing that hypnotic suggestion can enhance cognitive control over prepotent negative word responses in a sentence completion task. We suggest that this modulation stems from a reduction in the emotional relevance of the final words caused by the hypnotic suggestion.
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Toro-Hernández FD, Migeot J, Marchant N, Olivares D, Ferrante F, González-Gómez R, González Campo C, Fittipaldi S, Rojas-Costa GM, Moguilner S, Slachevsky A, Chaná Cuevas P, Ibáñez A, Chaigneau S, García AM. Neurocognitive correlates of semantic memory navigation in Parkinson's disease. NPJ Parkinsons Dis 2024; 10:15. [PMID: 38195756 PMCID: PMC10776628 DOI: 10.1038/s41531-024-00630-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/29/2023] [Indexed: 01/11/2024] Open
Abstract
Cognitive studies on Parkinson's disease (PD) reveal abnormal semantic processing. Most research, however, fails to indicate which conceptual properties are most affected and capture patients' neurocognitive profiles. Here, we asked persons with PD, healthy controls, and individuals with behavioral variant frontotemporal dementia (bvFTD, as a disease control group) to read concepts (e.g., 'sun') and list their features (e.g., hot). Responses were analyzed in terms of ten word properties (including concreteness, imageability, and semantic variability), used for group-level comparisons, subject-level classification, and brain-behavior correlations. PD (but not bvFTD) patients produced more concrete and imageable words than controls, both patterns being associated with overall cognitive status. PD and bvFTD patients showed reduced semantic variability, an anomaly which predicted semantic inhibition outcomes. Word-property patterns robustly classified PD (but not bvFTD) patients and correlated with disease-specific hypoconnectivity along the sensorimotor and salience networks. Fine-grained semantic assessments, then, can reveal distinct neurocognitive signatures of PD.
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Affiliation(s)
- Felipe Diego Toro-Hernández
- Graduate Program in Neuroscience and Cognition, Federal University of ABC, São Paulo, Brazil
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Joaquín Migeot
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Nicolás Marchant
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Daniela Olivares
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Laboratorio de Neuropsicología y Neurociencias Clínicas, Universidad de Chile, Santiago, Chile
| | - Franco Ferrante
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
- Facultad de Ingeniería, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Raúl González-Gómez
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Cecilia González Campo
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Gonzalo M Rojas-Costa
- Department of Radiology, Clínica las Condes, Santiago, Chile
- Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile
- Join Unit FISABIO-CIPF, Valencia, Spain
- School of Medicine, Finis Terrae University, Santiago, Chile
- Health Innovation Center, Clínica Las Condes, Santiago, Chile
| | - Sebastian Moguilner
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Andrea Slachevsky
- Memory and Neuropsychiatric Center (CMYN), Neurology Department, Hospital del Salvador & Faculty of Medicine, University of Chile, Santiago, Chile
- Geroscience Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopatology Program - Institute of Biomedical Sciences (ICBM), Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
- Neurology and Psychiatry Department, Clínica Alemana-Universidad Desarrollo, Santiago, Chile
| | - Pedro Chaná Cuevas
- Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile
| | - Agustín Ibáñez
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland
| | - Sergio Chaigneau
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Center for Cognition Research, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Adolfo M García
- Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile.
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina.
- Global Brain Health Institute, University of California, San Francisco, California, USA; & Trinity College, Dublin, Ireland.
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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7
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D’Ascanio S, Piras F, Banaj N, Assogna F, Pellicano C, Bassi A, Spalletta G, Piras F. Narrative discourse production in Parkinson's disease: Decoupling the role of cognitive-linguistic and motor speech changes. Heliyon 2023; 9:e18633. [PMID: 37576215 PMCID: PMC10415819 DOI: 10.1016/j.heliyon.2023.e18633] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction the interplay between neuropsychological and communicative abilities in Parkinson's disease (PD) has been relatively overlooked, and it is not entirely understood which difficulties are consequent to impaired motor control, and which have a linguistic/cognitive basis. Here, we examined narrative discourse in PD using a multi-level analysis procedure considering sentence-level (productivity, lexical-grammatical processing) and discourse-level processes (narrative organization, informativeness), and partialling out patients' motor speech impairments. The interaction between cognitive (i.e. linguistic and executive) and communication abilities was also investigated. Methods Twenty-nine PD subjects in the mild stage of the disease were compared to 29 matched healthy comparators (HC) on quantitative measures of narrative discourse derived from two picture description tasks. Multivariate (considering articulation rate and educational attainment as covariates) and univariate (with group membership as independent variable) analyses of variance were conducted on separate linguistic domains. The contribution of executive/linguistic abilities to PD's narrative performance was explored by multiple regression analyses on narrative measures significantly differentiating patients from HC. Results significant reductions in patients were observed on measures of productivity (less well-formed words, shorter sentences) and informativeness (fewer conceptual units, less informative elements, lower number of details) and these alterations were explained by variations in linguistic abilities (action and object naming) rather than executive abilities. Articulation rate and educational attainment did not impact the observed reduced productivity and under-informativeness. Conclusion referential narrative discourse is altered in PD, regardless of motor impairments in speech production. The observed reductions in productivity/informativeness aspects of narratives were related to naming abilities and in particular to verbs processing, consistently with the neurocognitive model of motor language coupling. Since narratives are amenable to recurrent and automated analysis for the identification of linguistic patterns potentially anticipating the development of PD and the onset of cognitive deterioration, discourse abilities should be quantitatively and repeatedly profiled in the disorder.
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Affiliation(s)
- Sara D’Ascanio
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nerisa Banaj
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Francesca Assogna
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Clelia Pellicano
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Andrea Bassi
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Gianfranco Spalletta
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Federica Piras
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
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Lee EY. Memory Deficits in Parkinson's Disease Are Associated with Impaired Attentional Filtering and Memory Consolidation Processes. J Clin Med 2023; 12:4594. [PMID: 37510708 PMCID: PMC10380592 DOI: 10.3390/jcm12144594] [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: 04/17/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
The present study examined mechanisms underlying memory deficits in Parkinson's disease (PD) and their associations with brain structural metrics. Nineteen PD patients and twenty-two matched controls underwent two memory experiments. In Experiment 1 (delayed memory task), subjects were asked to remember an array of colored rectangles with varying memory set sizes (Low-Load (2 items), Low-Load (relevant 2 items) with Distractor (irrelevant 3 items), and High-Load (5 items)). After a 7 s delay period, they reported whether the orientation of any relevant figures had changed (test period). In Experiment 2 (working memory task), memory arrays were presented in varying set sizes (2 to 6 items) without distractors, followed by a 2 s delay period and a subsequent test period. Brain MRI data were acquired to assess structural differences (volumes and cortical thickness) in areas related to attention, working memory storage capacity, and episodic memory. Multivariate analyses of covariance revealed that, compared with controls, PD patients had lower memory capacity scores in all memory load conditions for Experiment 1 (p < 0.021), whereas there were no group differences in any memory load conditions for Experiment 2 (p > 0.06). In addition, PD patients had lower cortical thickness in the left superior temporal gyrus (p = 0.02), a region related to the ventral attentional system. Moreover, regression analyses revealed that lower cortical thickness values in the left superior temporal gyrus significantly predicted lower memory scores of Low-Load and Low-Load with Distractor conditions in Experiment 1 (p < 0.044) and lower scores of memory load conditions of 4 and 5 items in Experiment 2 (p < 0.012). These findings suggest that memory deficits in PD may partly be due to impaired attentional filtering and memory consolidation processes that may be related to superior temporal neurodegeneration. Future studies are warranted to confirm the current findings to guide the development of effective treatments for memory deficits in PD.
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Affiliation(s)
- Eun-Young Lee
- Department of Health Care and Science, Dong-A University, Busan 49315, Republic of Korea
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9
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Siquier A, Andrés P. Face name matching and memory complaints in Parkinson's disease. Front Psychol 2022; 13:1051488. [PMID: 36452376 PMCID: PMC9702071 DOI: 10.3389/fpsyg.2022.1051488] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/25/2022] [Indexed: 09/10/2024] Open
Abstract
Objective Memory impairment is a hallmark cognitive deficit in Parkinson's disease (PD). However, it remains unclear which processes underlie this deficit in PD. Also, little is known on these patients' subjective experiences of memory difficulties and their relationship with objective measures. We aim to portray memory deficits in PD by combining objective and subjective memory measures. Methods Fifteen PD patients and 15 controls were assessed with an extended version of the Face-Name Associative Memory Exam (FNAME) and the Memory Failures of Everyday Questionnaire (MFE-28). We also explored the relationship among clinical and cognitive variables. Results Participants with PD presented with more memory complaints. On the FNAME, these patients exhibited lower performance in free recall, as well as in name recognition and matching. Importantly, when controlling for initial learning, group effects disappeared, except for matching. Associative memory therefore was significantly compromised in PD and correlated with subjective memory complaints (SMC). Conclusion Our findings suggest that associative memory may constitute a sensitive measure to detect subtle memory deficits in PD. Moreover, the current study further clarifies the source of memory impairment in PD. Thus, our study highlights the clinical value of including associative memory tests such as the FNAME in PD neuropsychological assessment.
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Affiliation(s)
- Antònia Siquier
- Neuropsychology and Cognition Research Group, Department of Psychology, Institute of Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Pilar Andrés
- Neuropsychology and Cognition Research Group, Department of Psychology, Institute of Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
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10
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Stress-inducible phosphoprotein 1 (HOP/STI1/STIP1) regulates the accumulation and toxicity of α-synuclein in vivo. Acta Neuropathol 2022; 144:881-910. [PMID: 36121476 PMCID: PMC9547791 DOI: 10.1007/s00401-022-02491-8] [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] [Received: 06/02/2022] [Revised: 08/26/2022] [Accepted: 08/30/2022] [Indexed: 01/26/2023]
Abstract
The predominantly pre-synaptic intrinsically disordered protein α-synuclein is prone to misfolding and aggregation in synucleinopathies, such as Parkinson's disease (PD) and Dementia with Lewy bodies (DLB). Molecular chaperones play important roles in protein misfolding diseases and members of the chaperone machinery are often deposited in Lewy bodies. Here, we show that the Hsp90 co-chaperone STI1 co-immunoprecipitated α-synuclein, and co-deposited with Hsp90 and Hsp70 in insoluble protein fractions in two mouse models of α-synuclein misfolding. STI1 and Hsp90 also co-localized extensively with filamentous S129 phosphorylated α-synuclein in ubiquitin-positive inclusions. In PD human brains, STI1 transcripts were increased, and in neurologically healthy brains, STI1 and α-synuclein transcripts correlated. Nuclear Magnetic Resonance (NMR) analyses revealed direct interaction of α-synuclein with STI1 and indicated that the STI1 TPR2A, but not TPR1 or TPR2B domains, interacted with the C-terminal domain of α-synuclein. In vitro, the STI1 TPR2A domain facilitated S129 phosphorylation by Polo-like kinase 3. Moreover, mice over-expressing STI1 and Hsp90ß presented elevated α-synuclein S129 phosphorylation accompanied by inclusions when injected with α-synuclein pre-formed fibrils. In contrast, reduced STI1 function decreased protein inclusion formation, S129 α-synuclein phosphorylation, while mitigating motor and cognitive deficits as well as mesoscopic brain atrophy in α-synuclein-over-expressing mice. Our findings reveal a vicious cycle in which STI1 facilitates the generation and accumulation of toxic α-synuclein conformers, while α-synuclein-induced proteostatic stress increased insoluble STI1 and Hsp90.
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