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Silveri MC, Lo Monaco MR, Tondinelli A, Petracca M, Zinzi P, Fragapane S, Pozzi G, Pagnini F, Bentivoglio AR, Di Tella S. Social cognition in Parkinson's disease and functional movement disorders. Neurol Sci 2024:10.1007/s10072-024-07452-5. [PMID: 38521891 DOI: 10.1007/s10072-024-07452-5] [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: 12/26/2023] [Accepted: 03/08/2024] [Indexed: 03/25/2024]
Abstract
INTRODUCTION Functional movement disorders (FMD) can overlap with Parkinson's disease (PD), and distinguishing between the two clinical conditions can be complex. Framing social cognition (theory of mind) (TOM) disorder, attention deficit, and psychodynamic features of FMD and PD may improve diagnosis. METHODS Subjects with FMD and PD and healthy controls (HC) were administered tasks assessing TOM abilities and attention. The psychodynamic hypothesis of conversion disorder was explored by a questionnaire assessing dissociative symptoms. A comprehensive battery of neuropsychological tasks was also administered to FMD and PD. RESULTS Although both FMD and PD scored lower than HC on all TOM tests, significant correlations between TOM and neuropsychological tasks were found only in PD but not in FMD. Only PD showed a reduction in attentional control. Dissociative symptoms occurred only in FMD. DISCUSSION Cognitive-affective disturbances are real in FMD, whereas they are largely dependent on cognitive impairment in PD. Attentional control is preserved in FMD compared to PD, consistent with the hypothesis that overload of voluntary attentional orientation may be at the basis of the onset of functional motor symptoms. On a psychodynamic level, the confirmation of dissociative symptoms in FMD supports the conversion disorder hypothesis. CONCLUSION FMD and PD can be distinguished on an affective and cognitive level. At the same time, however, the objective difficulty often encountered in distinguishing between the two pathologies draws attention to how blurred the boundary between 'organic' and 'functional' can be.
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Affiliation(s)
- Maria Caterina Silveri
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Maria Rita Lo Monaco
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy.
| | - Alice Tondinelli
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy
| | - Martina Petracca
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Paola Zinzi
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Serena Fragapane
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
| | - Gino Pozzi
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
- Institute of Psychiatry, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Francesco Pagnini
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy
| | - Anna Rita Bentivoglio
- Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, L.go A. Gemelli 8, 00168, Rome, Italy
- Institute of Neurology, Università Cattolica del Sacro Cuore, 00168, Rome, Italy
| | - Sonia Di Tella
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123, Milan, Italy
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Qiao-Tasserit E, Corradi-Dell’Acqua C, Vuilleumier P. Influence of transient emotional episodes on affective and cognitive theory of mind. Soc Cogn Affect Neurosci 2024; 19:nsae016. [PMID: 38442706 PMCID: PMC10914405 DOI: 10.1093/scan/nsae016] [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: 04/05/2023] [Revised: 12/20/2023] [Accepted: 02/21/2024] [Indexed: 03/07/2024] Open
Abstract
Our emotions may influence how we interact with others. Previous studies have shown an important role of emotion induction in generating empathic reactions towards others' affect. However, it remains unclear whether (and to which extent) our own emotions can influence the ability to infer people's mental states, a process associated with Theory of Mind (ToM) and implicated in the representation of both cognitive (e.g. beliefs and intentions) and affective conditions. We engaged 59 participants in two emotion-induction experiments where they saw joyful, neutral and fearful clips. Subsequently, they were asked to infer other individuals' joy, fear (affective ToM) or beliefs (cognitive ToM) from verbal scenarios. Using functional magnetic resonance imaging, we found that brain activity in the superior temporal gyrus, precuneus and sensorimotor cortices were modulated by the preceding emotional induction, with lower response when the to-be-inferred emotion was incongruent with the one induced in the observer (affective ToM). Instead, we found no effect of emotion induction on the appraisal of people's beliefs (cognitive ToM). These findings are consistent with embodied accounts of affective ToM, whereby our own emotions alter the engagement of key brain regions for social cognition, depending on the compatibility between one's own and others' affect.
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Affiliation(s)
- Emilie Qiao-Tasserit
- Laboratory of Behavioural Neurology and Imaging of Cognition, Department of Neuroscience, University Medical Center, University of Geneva, Geneva CH-1206, Switzerland
- Geneva Neuroscience Center, University of Geneva, Geneva CH-1206, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva CH-1209, Switzerland
| | - Corrado Corradi-Dell’Acqua
- Geneva Neuroscience Center, University of Geneva, Geneva CH-1206, Switzerland
- Theory of Pain Laboratory, Department of Psychology, Faculty of Psychology and Educational Sciences (FPSE), University of Geneva, Geneva CH-1211, Switzerland
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto IT-38068, Italy
| | - Patrik Vuilleumier
- Laboratory of Behavioural Neurology and Imaging of Cognition, Department of Neuroscience, University Medical Center, University of Geneva, Geneva CH-1206, Switzerland
- Geneva Neuroscience Center, University of Geneva, Geneva CH-1206, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva CH-1209, Switzerland
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Rabini G, Funghi G, Meli C, Pierotti E, Saviola F, Jovicich J, Dodich A, Papagno C, Turella L. Functional alterations in resting-state networks for Theory of Mind in Parkinson's disease. Eur J Neurosci 2024; 59:1213-1226. [PMID: 37670685 DOI: 10.1111/ejn.16145] [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: 05/31/2023] [Revised: 08/23/2023] [Accepted: 08/26/2023] [Indexed: 09/07/2023]
Abstract
In Parkinson's disease (PD), impairment of Theory of Mind (ToM) has recently attracted an increasing number of neuroscientific investigations. If and how functional connectivity of the ToM network is altered in PD is still an open question. First, we explored whether ToM network connectivity shows potential PD-specific functional alterations when compared to healthy controls (HC). Second, we tested the role of the duration of PD in the evolution of functional alterations in the ToM network. Between-group connectivity alterations were computed adopting resting-state functional magnetic resonance imaging (rs-fMRI) data of four groups: PD patients with short disease duration (PD-1, n = 72); PD patients with long disease duration (PD-2, n = 22); healthy controls for PD-1 (HC-1, n = 69); healthy controls for PD-2 (HC-2, n = 22). We explored connectivity differences in the ToM network within and between its three subnetworks: Affective, Cognitive and Core. PD-1 presented a global pattern of decreased functional connectivity within the ToM network, compared to HC-1. The alterations mainly involved the Cognitive and Affective ToM subnetworks and their reciprocal connections. PD-2-those with longer disease duration-showed an increased connectivity spanning the entire ToM network, albeit less consistently in the Core ToM network, compared to both the PD-1 and the HC-2 groups. Functional connectivity within the ToM network is altered in PD. The alterations follow a graded pattern, with decreased connectivity at short disease duration, which broadens to a generalized increase with longer disease duration. The alterations involve both the Cognitive and Affective subnetworks of ToM.
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Affiliation(s)
- Giuseppe Rabini
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Giulia Funghi
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Claudia Meli
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Enrica Pierotti
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Francesca Saviola
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | | | - Costanza Papagno
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Luca Turella
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
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Maggi G, Giacobbe C, Vitale C, Amboni M, Obeso I, Santangelo G. Theory of mind in mild cognitive impairment and Parkinson's disease: The role of memory impairment. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:156-170. [PMID: 38049608 PMCID: PMC10827829 DOI: 10.3758/s13415-023-01142-z] [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] [Accepted: 11/14/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Social cognition is impaired in Parkinson's disease (PD). Whether social cognitive impairment (iSC) is a by-product of the underlying cognitive deficits in PD or a process independent of cognitive status is unknown. To this end, the present study was designed to investigate the weight of specific cognitive deficits in social cognition, considering different mild cognitive impairment subtypes of PD (PD-MCI). METHODS Fifty-eight PD patients underwent a neuropsychological battery assessing executive functions, memory, language, and visuospatial domains, together with social cognitive tests focused on theory of mind (ToM). Patients were divided into subgroups according to their clinical cognitive status: amnestic PD-MCI (PD-aMCI, n = 18), non-amnestic PD-MCI (PD-naMCI, n = 16), and cognitively unimpaired (PD-CU, n = 24). Composite scores for cognitive and social domains were computed to perform mediation analyses. RESULTS Memory and language impairments mediated the effect of executive functioning in social cognitive deficits in PD patients. Dividing by MCI subgroups, iSC occurred more frequently in PD-aMCI (77.8%) than in PD-naMCI (18.8%) and PD-CU (8.3%). Moreover, PD-aMCI performed worse than PD-CU in all social cognitive measures, whereas PD-naMCI performed worse than PD-CU in only one subtype of the affective and cognitive ToM tests. CONCLUSIONS Our findings suggest that ToM impairment in PD can be explained by memory dysfunction that mediates executive control. ToM downsides in the amnesic forms of PD-MCI may suggest that subtle changes in social cognition could partly explain future transitions into dementia. Hence, the evaluation of social cognition in PD is critical to characterize a possible behavioral marker of cognitive decline.
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Affiliation(s)
- Gianpaolo Maggi
- Department of Psychology, University of Campania "Luigi Vanvitelli," Viale Ellittico, 31, 81100, Caserta, Italy.
| | - Chiara Giacobbe
- Department of Psychology, University of Campania "Luigi Vanvitelli," Viale Ellittico, 31, 81100, Caserta, Italy
| | - Carmine Vitale
- Institute of Diagnosis and Health, IDC-Hermitage Capodimonte, Naples, Italy
- Department of Motor Sciences and Wellness, University "Parthenope, Naples, Italy
| | - Marianna Amboni
- Institute of Diagnosis and Health, IDC-Hermitage Capodimonte, Naples, Italy
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Ignacio Obeso
- HM Hospitales - Centro Integral de Neurociencias AC HM CINAC, Hospital Universitario HM Puerta del Sur, HM Hospitales, Avda. Carlos V, 70. 28938, Móstoles, Madrid, Spain.
- Department of Psychobiology and Methods on Behavioural Sciences, Complutense University of Madrid, Madrid, Spain.
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli," Viale Ellittico, 31, 81100, Caserta, Italy.
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Lucas-Jiménez O, Ibarretxe-Bilbao N, Diez I, Peña J, Tijero B, Galdós M, Murueta-Goyena A, Del Pino R, Acera M, Gómez-Esteban JC, Gabilondo I, Ojeda N. Brain Degeneration in Synucleinopathies Based on Analysis of Cognition and Other Nonmotor Features: A Multimodal Imaging Study. Biomedicines 2023; 11:biomedicines11020573. [PMID: 36831109 PMCID: PMC9953265 DOI: 10.3390/biomedicines11020573] [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: 12/27/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND We aimed to characterize subtypes of synucleinopathies using a clustering approach based on cognitive and other nonmotor data and to explore structural and functional magnetic resonance imaging (MRI) brain differences between identified clusters. METHODS Sixty-two patients (n = 6 E46K-SNCA, n = 8 dementia with Lewy bodies (DLB) and n = 48 idiopathic Parkinson's disease (PD)) and 37 normal controls underwent nonmotor evaluation with extensive cognitive assessment. Hierarchical cluster analysis (HCA) was performed on patients' samples based on nonmotor variables. T1, diffusion-weighted, and resting-state functional MRI data were acquired. Whole-brain comparisons were performed. RESULTS HCA revealed two subtypes, the mild subtype (n = 29) and the severe subtype (n = 33). The mild subtype patients were slightly impaired in some nonmotor domains (fatigue, depression, olfaction, and orthostatic hypotension) with no detectable cognitive impairment; the severe subtype patients (PD patients, all DLB, and the symptomatic E46K-SNCA carriers) were severely impaired in motor and nonmotor domains with marked cognitive, visual and bradykinesia alterations. Multimodal MRI analyses suggested that the severe subtype exhibits widespread brain alterations in both structure and function, whereas the mild subtype shows relatively mild disruptions in occipital brain structure and function. CONCLUSIONS These findings support the potential value of incorporating an extensive nonmotor evaluation to characterize specific clinical patterns and brain degeneration patterns of synucleinopathies.
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Affiliation(s)
- Olaia Lucas-Jiménez
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
- Correspondence: ; Tel./Fax: +34-944-139000 (ext. 3231)
| | - Naroa Ibarretxe-Bilbao
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
| | - Ibai Diez
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114-1107, USA
| | - Javier Peña
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
| | - Beatriz Tijero
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Marta Galdós
- Ophthalmology Department, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Ane Murueta-Goyena
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurosciences, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Rocío Del Pino
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Marian Acera
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
- Department of Neurosciences, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Iñigo Gabilondo
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
- Department of Neurology, Cruces University Hospital, 48903 Barakaldo, Spain
- IKERBASQUE, The Basque Foundation for Science, 48009 Bilbao, Spain
| | - Natalia Ojeda
- Department of Psychology, Faculty of Health Sciences, University of Deusto, 48007 Bilbao, Spain
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Youn J, Won JH, Kim M, Kwon J, Moon SH, Kim M, Ahn JH, Mun JK, Park H, Cho JW. Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:39-48. [PMID: 36565134 PMCID: PMC9912725 DOI: 10.3233/jpd-223542] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The "motor reserve" is an emerging concept based on the discrepancy between the severity of parkinsonism and dopaminergic degeneration; however, the related brain structures have not yet been elucidated. OBJECTIVE We investigated brain structures relevant to the motor reserve in Parkinson's disease (PD) in this study. METHODS Patients with drug-naïve, early PD were enrolled, who then underwent dopamine transporter (DAT) scan and diffusion tensor imaging (DTI). The severity of motor symptoms was evaluated with the Unified Parkinson's Disease Rating Scale score of bradykinesia and rigidity on the more affected side and dopaminergic degeneration of DAT uptake of the more affected putamen. Individual motor reserve estimate (MRE) was evaluated based on the discrepancy between the severity of motor symptoms and dopaminergic degeneration. Using DTI and the Brainnetome atlas, brain structures correlated with MRE were identified. RESULTS We enrolled 193 patients with drug-naïve PD (mean disease duration of 15.6±13.2 months), and the MRE successfully predicted the increase of levodopa equivalent dose after two years. In the DTI analysis, fractional anisotropy values of medial, inferior frontal, and temporal lobes, limbic structures, nucleus accumbens, and thalamus were positively correlated with the MRE, while no brain structures were correlated with mean diffusivity. Additionally, degree centrality derived from the structural connectivity of the frontal and temporal lobes and limbic structures was positively correlated with the MRE. CONCLUSION Our results show empirical evidence for MR in PD and brain structures relevant to MR, particularly, the extra-basal ganglia system including the limbic and frontal structures.
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Affiliation(s)
- Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ji Hye Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Mansu Kim
- Department of Artificial Intelligence, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Junmo Kwon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Seung Hwan Moon
- Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Minkyeong Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Jong Hyun Ahn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jun Kyu Mun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea,School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea,Correspondence to: Jin Whan Cho, MD, PhD, Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-Gu, Seoul, 06351, Korea. Tel.: +82 2 3410 1279; Fax: +82 2 3410 0052; E-mail: and Hyunjin Park, PhD, Center for Neuroscience Imaging Research and School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, 16419, Korea. Tel.: +82 31 299 4956; Fax: +82 31 290 5819; E-mail:
| | - Jin Whan Cho
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea,Neuroscience Center, Samsung Medical Center, Seoul, Korea,Correspondence to: Jin Whan Cho, MD, PhD, Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-Gu, Seoul, 06351, Korea. Tel.: +82 2 3410 1279; Fax: +82 2 3410 0052; E-mail: and Hyunjin Park, PhD, Center for Neuroscience Imaging Research and School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, 16419, Korea. Tel.: +82 31 299 4956; Fax: +82 31 290 5819; E-mail:
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Haghshomar M, Shobeiri P, Seyedi SA, Abbasi-Feijani F, Poopak A, Sotoudeh H, Kamali A, Aarabi MH. Cerebellar Microstructural Abnormalities in Parkinson's Disease: a Systematic Review of Diffusion Tensor Imaging Studies. CEREBELLUM (LONDON, ENGLAND) 2022; 21:545-571. [PMID: 35001330 DOI: 10.1007/s12311-021-01355-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the neural fibers of the CNS. This technique can study white matter (WM) microstructure in neurodegenerative disorders, including Parkinson's disease (PD). Previous neuroimaging studies have suggested cerebellar involvement in the pathogenesis of PD, and these cerebellum alterations can correlate with PD symptoms and stages. Using the PRISMA 2020 framework, PubMed and EMBASE were searched to retrieve relevant articles. Our search revealed 472 articles. After screening titles and abstracts, and full-text review, and implementing the inclusion criteria, 68 papers were selected for synthesis. Reviewing the selected studies revealed that the patterns of reduction in cerebellum WM integrity, assessed by fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity measures can differ symptoms and stages of PD. Cerebellar diffusion tensor imaging (DTI) changes in PD patients with "postural instability and gait difficulty" are significantly different from "tremor dominant" PD patients. Freezing of the gate is strongly related to cerebellar involvement depicted by DTI. The "reduced cognition," "visual disturbances," "sleep disorders," "depression," and "olfactory dysfunction" are not related to cerebellum microstructural changes on DTI, while "impulsive-compulsive behavior" can be linked to cerebellar WM alteration. Finally, higher PD stages and longer disease duration are associated with cerebellum white matter alteration depicted by DTI. Depiction of cerebellar white matter involvement in PD is feasible by DTI. There is an association with disease duration and severity and several clinical presentations with DTI findings. This clinical-imaging association may eventually improve disease management.
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Affiliation(s)
- Maryam Haghshomar
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Parnian Shobeiri
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, No. 10, Al-e-Ahmad and Chamran Highway intersection, Tehran, 1411713137, Iran.
| | | | | | - Amirhossein Poopak
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Houman Sotoudeh
- Department of Radiology and Neurology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Arash Kamali
- Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, USA
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), Padova Neuroscience Center-PNC, University of Padova, Padua, Italy
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8
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Zekelman LR, Zhang F, Makris N, He J, Chen Y, Xue T, Liera D, Drane DL, Rathi Y, Golby AJ, O'Donnell LJ. White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. Neuroimage 2021; 246:118739. [PMID: 34856375 PMCID: PMC8862285 DOI: 10.1016/j.neuroimage.2021.118739] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 10/20/2021] [Accepted: 11/15/2021] [Indexed: 12/24/2022] Open
Abstract
Language and theory of mind (ToM) are the cognitive capacities that allow for the successful interpretation and expression of meaning. While functional MRI investigations are able to consistently localize language and ToM to specific cortical regions, diffusion MRI investigations point to an inconsistent and sometimes overlapping set of white matter tracts associated with these two cognitive domains. To further examine the white matter tracts that may underlie these domains, we use a two-tensor tractography method to investigate the white matter microstructure of 809 participants from the Human Connectome Project. 20 association white matter tracts (10 in each hemisphere) are uniquely identified by leveraging a neuroanatomist-curated automated white matter tract atlas. The fractional anisotropy (FA), mean diffusivity (MD), and number of streamlines (NoS) are measured for each white matter tract. Performance on neuropsychological assessments of semantic memory (NIH Toolbox Picture Vocabulary Test, TPVT) and emotion perception (Penn Emotion Recognition Test, PERT) are used to measure critical subcomponents of the language and ToM networks, respectively. Regression models are constructed to examine how structural measurements of left and right white matter tracts influence performance across these two assessments. We find that semantic memory performance is influenced by the number of streamlines of the left superior longitudinal fasciculus III (SLF-III), and emotion perception performance is influenced by the number of streamlines of the right SLF-III. Additionally, we find that performance on both semantic memory & emotion perception is influenced by the FA of the left arcuate fasciculus (AF). The results point to multiple, overlapping white matter tracts that underlie the cognitive domains of language and ToM. Results are discussed in terms of hemispheric dominance and concordance with prior investigations.
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Affiliation(s)
- Leo R Zekelman
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Speech and Hearing Bioscience and Technology, Harvard Medical School, Boston, USA.
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Nikos Makris
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, USA; Center for Morphometric Analysis, Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Psychiatric Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Jianzhong He
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Institution of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, China
| | - Yuqian Chen
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; School of Computer Science, University of Sydney, NSW, Australia
| | - Tengfei Xue
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; School of Computer Science, University of Sydney, NSW, Australia
| | | | - Daniel L Drane
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, University of Washington School of Medicine, Seattle, WA, US
| | - Yogesh Rathi
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Alexandra J Golby
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Lauren J O'Donnell
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
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What Do We Know about Theory of Mind Impairment in Parkinson's Disease? Behav Sci (Basel) 2021; 11:bs11100130. [PMID: 34677223 PMCID: PMC8533307 DOI: 10.3390/bs11100130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 12/15/2022] Open
Abstract
Theory of mind (ToM) is a social cognitive skill that involves the ability to attribute mental states to self and others (what they think (cognitive ToM) and feel (affective ToM)). We aim to provide an overview of previous knowledge of ToM in Parkinson's disease (PD). In the last few years more attention has been paid to the study of this construct as a non-motor manifestation of PD. In advanced stages, both components of ToM (cognitive and affective) are commonly impaired, although in early PD results remain controversial. Executive dysfunction correlates with ToM deficits and other cognitive domains such as language and visuospatial function have also been related to ToM. Recent studies have demonstrated that PD patients with mild cognitive impairment show ToM deficits more frequently in comparison with cognitively normal PD patients. In addition to the heterogeneity of ToM tests administered in different studies, depression and dopaminergic medication may also be acting as confounding factors, but there are still insufficient data to support this. Neuroimaging studies conducted to understand the underlying networks of cognitive and affective ToM deficits in PD are lacking. The study of ToM deficit in PD continues to be important, as this may worsen quality of life and favor social stigma. Future studies should be considered, including assessment of the patients' cognitive state, associated mood disorders, and the role of dopaminergic deficit.
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10
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Wei X, Luo C, Li Q, Hu N, Xiao Y, Liu N, Lui S, Gong Q. White Matter Abnormalities in Patients With Parkinson's Disease: A Meta-Analysis of Diffusion Tensor Imaging Using Tract-Based Spatial Statistics. Front Aging Neurosci 2021; 12:610962. [PMID: 33584244 PMCID: PMC7876070 DOI: 10.3389/fnagi.2020.610962] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/28/2020] [Indexed: 02/05/2023] Open
Abstract
Background: Tract-based spatial statistics (TBSS) studies based on diffusion tensor imaging (DTI) have revealed extensive abnormalities in white matter (WM) fibers of Parkinson's disease (PD); however, the results were inconsistent. Therefore, a meta-analytical approach was used in this study to find the most prominent and replicable WM abnormalities of PD. Methods: Online databases were systematically searched for all TBSS studies comparing fractional anisotropy (FA) between patients with PD and controls. Subsequently, we performed the meta-analysis using a coordinate-based meta-analytic software called seed-based d mapping. Meanwhile, meta-regression was performed to explore the potential correlation between the alteration of FA and the clinical characteristics of PD. Results: Out of a total of 1,701 studies that were identified, 23 studies were included. Thirty datasets, including 915 patients (543 men) with PD and 836 healthy controls (449 men), were included in the current study. FA reduction was identified in the body of the corpus callosum (CC; 245 voxels; z = -1.739; p < 0.001) and the left inferior fronto-occipital fasciculus (IFOF) 118 voxels; z = -1.182; p < 0.001). Both CC and IFOF maintained significance in the sensitivity analysis. No increase in FA was identified, but the percentage of male patients with PD was positively associated with the value of FA in the body of the CC. Conclusions: Although some limitations exist, DTI is regarded as a valid way to identify the pathophysiology of PD. It could be more beneficial to integrate DTI parameters with other MRI techniques to explore brain degeneration in PD.
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Affiliation(s)
- Xia Wei
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Chunyan Luo
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Li
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Na Hu
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Xiao
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Nian Liu
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Su Lui
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Qiyong Gong
- Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
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11
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Ibañez A, Fittipaldi S, Trujillo C, Jaramillo T, Torres A, Cardona JF, Rivera R, Slachevsky A, García A, Bertoux M, Baez S. Predicting and Characterizing Neurodegenerative Subtypes with Multimodal Neurocognitive Signatures of Social and Cognitive Processes. J Alzheimers Dis 2021; 83:227-248. [PMID: 34275897 PMCID: PMC8461708 DOI: 10.3233/jad-210163] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Social cognition is critically compromised across neurodegenerative diseases, including the behavioral variant frontotemporal dementia (bvFTD), Alzheimer's disease (AD), and Parkinson's disease (PD). However, no previous study has used social cognition and other cognitive tasks to predict diagnoses of these conditions, let alone reporting the brain correlates of prediction outcomes. OBJECTIVE We performed a diagnostic classification analysis using social cognition, cognitive screening (CS), and executive function (EF) measures, and explored which anatomical and functional networks were associated with main predictors. METHODS Multiple group discriminant function analyses (MDAs) and ROC analyses of social cognition (facial emotional recognition, theory of mind), CS, and EF were implemented in 223 participants (bvFTD, AD, PD, controls). Gray matter volume and functional connectivity correlates of top discriminant scores were investigated. RESULTS Although all patient groups revealed deficits in social cognition, CS, and EF, our classification approach provided robust discriminatory characterizations. Regarding controls, probabilistic social cognition outcomes provided the best characterization for bvFTD (together with CS) and PD, but not AD (for which CS alone was the best predictor). Within patient groups, the best MDA probabilities scores yielded high classification rates for bvFTD versus PD (98.3%, social cognition), AD versus PD (98.6%, social cognition + CS), and bvFTD versus AD (71.7%, social cognition + CS). Top MDA scores were associated with specific patterns of atrophy and functional networks across neurodegenerative conditions. CONCLUSION Standardized validated measures of social cognition, in combination with CS, can provide a dimensional classification with specific pathophysiological markers of neurodegeneration diagnoses.
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Affiliation(s)
- Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, CA, USA
- Global Brain Health Institute, Trinity College Dublin (TCD), Dublin, Ireland
| | - Sol Fittipaldi
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | - Tania Jaramillo
- Instituto de Psicología, Universidad del Valle, Cali, Colombia
| | | | - Juan F. Cardona
- Instituto de Psicología, Universidad del Valle, Cali, Colombia
| | - Rodrigo Rivera
- Neuroradiology Department, Instituto de Neurocirugia, Universidad de Chile, Santiago, Chile
| | - Andrea Slachevsky
- Geroscience Center for Brain Health and Metabolism (GERO), Faculty of Medicine, University of Chile, Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - ICBM, Neuroscience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Adolfo García
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, CA, USA
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Maxime Bertoux
- Lille Center of Excellence for Neurodegenerative Disorders (LICEND), CHU Lille, U1172 - Lille Neurosciences & Cognition, Université de Lille, Inserm, Lille, France
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12
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Zhang Y, Burock MA. Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review. Front Neurol 2020; 11:531993. [PMID: 33101169 PMCID: PMC7546271 DOI: 10.3389/fneur.2020.531993] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 08/18/2020] [Indexed: 12/21/2022] Open
Abstract
Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar microstructural indices of the brain white matter. Lower than normal fractional anisotropy as well as higher than normal diffusivity is associated with loss of microstructural integrity and neurodegeneration. Previous DTI studies in Parkinson's disease (PD) have demonstrated abnormal fractional anisotropy in multiple white matter regions, particularly in the dopaminergic nuclei and dopaminergic pathways. However, DTI is not considered a diagnostic marker for the earliest Parkinson's disease since anisotropic alterations present a temporally divergent pattern during the earliest Parkinson's course. This article reviews a majority of clinically employed DTI studies in PD, and it aims to prove the utilities of DTI as a marker of diagnosing PD, correlating clinical symptomatology, tracking disease progression, and treatment effects. To address the challenge of DTI being a diagnostic marker for early PD, this article also provides a comparison of the results from a longitudinal, early stage, multicenter clinical cohort of Parkinson's research with previous publications. This review provides evidences of DTI as a promising marker for monitoring PD progression and classifying atypical PD types, and it also interprets the possible pathophysiologic processes under the complex pattern of fractional anisotropic changes in the first few years of PD. Recent technical advantages, limitations, and further research strategies of clinical DTI in PD are additionally discussed.
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Affiliation(s)
- Yu Zhang
- Department of Psychiatry, War Related Illness and Injury Study Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Marc A Burock
- Department of Psychiatry, Mainline Health, Bryn Mawr Hospital, Bryn Mawr, PA, United States
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13
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Empathy and theory of mind in Parkinson’s disease: A meta-analysis. Neurosci Biobehav Rev 2020; 109:92-102. [DOI: 10.1016/j.neubiorev.2019.12.030] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 11/26/2019] [Accepted: 12/29/2019] [Indexed: 11/21/2022]
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14
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Gómez-Gastiasoro A, Peña J, Ibarretxe-Bilbao N, Lucas-Jiménez O, Díez-Cirarda M, Rilo O, Montoya-Murillo G, Zubiaurre-Elorza L, Ojeda N. A Neuropsychological Rehabilitation Program for Cognitive Impairment in Psychiatric and Neurological Conditions: A Review That Supports Its Efficacy. Behav Neurol 2019; 2019:4647134. [PMID: 31772682 PMCID: PMC6854258 DOI: 10.1155/2019/4647134] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 07/05/2019] [Accepted: 08/05/2019] [Indexed: 11/21/2022] Open
Abstract
Neuropsychological rehabilitation has been the focus of much scientific research over the past decades due to its efficacy in different pathologies. Advances in the neuropsychology field have led to improvements and changes in neuropsychological interventions, which in turn have given rise to different approaches and rehabilitation programs. REHACOP is an integrative neuropsychological rehabilitation program designed by specialist neuropsychologists. With an integrated bottom-up and top-down approach, REHACOP includes neurocognition, social cognition, and daily living tasks hierarchically organized on an increasing level of difficulty. Task arrangement is addressed to maximize improvements and transfer effects into participant's daily living. To date, REHACOP has been implemented on different clinical samples such as patients with schizophrenia, multiple sclerosis (MS), and Parkinson's disease (PD). This manuscript presents the efficacy data of REHACOP across these three populations and discusses it in the context of the available literature. Overall, the magnitude of improvements obtained by means of REHACOP ranged from medium to high across samples. These changes were not restricted to specific neurocognitive domains since participants attending the REHACOP program also showed changes in social cognition and daily functioning variables by means of both direct and transfer effects. Results regarding REHACOP's efficacy in psychiatric and neurological conditions have contributed to expanding the existing evidence about the use of structured neuropsychological rehabilitation. In addition, the results obtained after its implementation highlighted the need and importance of designing and implementing integrative neuropsychological rehabilitation programs that are focused not only on cognition per se but also on participants' performance in daily living.
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Affiliation(s)
- Ainara Gómez-Gastiasoro
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Javier Peña
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Naroa Ibarretxe-Bilbao
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Olaia Lucas-Jiménez
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - María Díez-Cirarda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Oiane Rilo
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Genoveva Montoya-Murillo
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Leire Zubiaurre-Elorza
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
| | - Natalia Ojeda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Avenida de las Universidades, 24, 48007 Bilbao, Biscay, Spain
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15
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Kosutzka Z, Kralova M, Kusnirova A, Papayova M, Valkovic P, Csefalvay Z, Hajduk M. Neurocognitive Predictors of Understanding of Intentions in Parkinson Disease. J Geriatr Psychiatry Neurol 2019; 32:178-185. [PMID: 30961413 DOI: 10.1177/0891988719841727] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Theory of Mind (ToM), the ability to understand other people's mental states, is essential in everyday social interactions. The relationship between cognitive domains and ToM impairment in Parkinson disease (PD) has been receiving growing attention with ambiguous findings. The objective of the current study was to ascertain which cognitive domain predicts understanding of intentions and the impact of PD-specific clinical measures on ToM performance. A secondary aim was to evaluate whether cognitive impairment mediates the relationship between severity of illness and ToM impairment. METHODS Fifty-one nondemented patients with idiopathic PD, ranging from early to advanced stages, were enrolled. A comprehensive neurocognitive battery and 2 ToM tasks (Hinting Task and Comic Strip Task) were administered during the patients' best "on" medication state. RESULTS Only the task of measuring working memory capacity was significantly associated with both ToM tasks (Hinting Task Spearman rank correlation [ rs] = 0.309, P ≤ .05; Comic Strip Task rs = 0.595, P ≤ .01). Patients with more progressed disease and higher doses of dopaminergic medication performed significantly worse in the Comic Strip Task. Based on the mediation analysis, relationship between the severity of the illness and understanding of intentions was mediated by cognitive flexibility. CONCLUSION In PD, understanding of intentions is related to neurocognition, with working memory and cognitive flexibility playing a crucial role. The severity of PD predicts ToM performance.
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Affiliation(s)
- Zuzana Kosutzka
- 1 Second Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Maria Kralova
- 2 Department of Psychiatry, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Alice Kusnirova
- 1 Second Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Mariana Papayova
- 1 Second Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Peter Valkovic
- 1 Second Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.,3 Institute of Normal and Pathological Physiology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zsolt Csefalvay
- 4 Department of Communication Disorders, Faculty of Education, Comenius University, Bratislava, Slovakia
| | - Michal Hajduk
- 2 Department of Psychiatry, Faculty of Medicine, Comenius University, Bratislava, Slovakia.,5 Department of Psychology, Faculty of Arts, Comenius University, Bratislava, Slovakia
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16
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Strikwerda-Brown C, Ramanan S, Irish M. Neurocognitive mechanisms of theory of mind impairment in neurodegeneration: a transdiagnostic approach. Neuropsychiatr Dis Treat 2019; 15:557-573. [PMID: 30863078 PMCID: PMC6388953 DOI: 10.2147/ndt.s158996] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Much of human interaction is predicated upon our innate capacity to infer the thoughts, beliefs, emotions, and perspectives of others, in short, to possess a "theory of mind" (ToM). While the term has evolved considerably since its inception, ToM encompasses our unique ability to apprehend the mental states of others, enabling us to anticipate and predict subsequent behavior. From a developmental perspective, ToM has been a topic of keen research interest, with numerous studies seeking to explicate the origins of this fundamental capacity and its disruption in developmental disorders such as autism. The study of ToM at the opposite end of the lifespan, however, is paradoxically new born, emerging as a topic of interest in its own right comparatively recently. Here, we consider the unique insights afforded by studying ToM capacity in neurodegenerative disorders. Arguing from a novel, transdiagnostic perspective, we consider how ToM vulnerability reflects the progressive degradation of neural circuits specialized for an array of higher-order cognitive processes. This mechanistic approach enables us to consider the common and unique neurocognitive mechanisms that underpin ToM dysfunction across neurodegenerative disorders and for the first time examine its relation to behavioral disturbances across social, intimate, legal, and criminal settings. As such, we aim to provide a comprehensive overview of ToM research in neurodegeneration, the resultant challenges for family members, clinicians, and the legal profession, and future directions worthy of exploration.
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Affiliation(s)
- Cherie Strikwerda-Brown
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia,
- The University of Sydney, School of Psychology, Sydney, NSW, Australia,
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia,
| | - Siddharth Ramanan
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia,
- The University of Sydney, School of Psychology, Sydney, NSW, Australia,
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia,
| | - Muireann Irish
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia,
- The University of Sydney, School of Psychology, Sydney, NSW, Australia,
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia,
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17
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Lyashenko EA, Iakovleva OV. Social cognition impairments in Parkinson's disease. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:37-43. [DOI: 10.17116/jnevro201911909237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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18
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Santens P, Vanschoenbeek G, Miatton M, De Letter M. The moral brain and moral behaviour in patients with Parkinson's disease: a review of the literature. Acta Neurol Belg 2018; 118:387-393. [PMID: 30014443 DOI: 10.1007/s13760-018-0986-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 07/11/2018] [Indexed: 01/05/2023]
Abstract
Morality is a complex and versatile concept that necessitates the integrated activity of multiple interacting networks in the brain. Numerous cortical and subcortical areas, many of which are implicated in either emotional and cognitive control or Theory of Mind, are involved in the processing of moral behaviour. Different methods have been used to investigate various aspects of morality, which has lead to confusing and sometimes opposing results. Emotional, cognitive and personality changes have long been recognized in Parkinson's disease (PD) patients, suggesting a potential impact on moral aspects of behaviour in daily living situations. Alterations in social cognition have been described in all stages of PD but these are rather directly related to PD pathology and not to dopaminergic or DBS treatment. There are no convincing data supporting the hypothesis that dopaminergic treatment or deep brain stimulation of the STN per se interfere with morality in PD patients, although subgroups of patients may display socially unacceptable behaviour. Research in social cognition in PD patients is a fascinating topic that needs further attention in view of the impact on quality of life for PD patients and their caregivers.
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Affiliation(s)
- Patrick Santens
- Department of Neurology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, 13K12, 9000, Ghent, Belgium.
| | - Giel Vanschoenbeek
- Department of Neurology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, 13K12, 9000, Ghent, Belgium
| | - Marijke Miatton
- Department of Neurology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, 13K12, 9000, Ghent, Belgium
| | - Miet De Letter
- Department of Speech, Language and Hearing Sciences, Ghent University, Corneel Heymanslaan 10, 2P1, 9000, Ghent, Belgium
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19
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Haghshomar M, Dolatshahi M, Ghazi Sherbaf F, Sanjari Moghaddam H, Shirin Shandiz M, Aarabi MH. Disruption of Inferior Longitudinal Fasciculus Microstructure in Parkinson's Disease: A Systematic Review of Diffusion Tensor Imaging Studies. Front Neurol 2018; 9:598. [PMID: 30093877 PMCID: PMC6070770 DOI: 10.3389/fneur.2018.00598] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 07/05/2018] [Indexed: 12/19/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder accompanied by a series of pathological mechanisms which contribute to a variety of motor and non-motor symptoms. Recently, there has been an increasing interest in structural diffusion tensor imaging (DTI) in PD which has shed light on our understanding of structural abnormalities underlying PD symptoms or its associations with pathological mechanisms. One of the white matter tracts shown to be disrupted in PD with a possible contribution to some PD symptoms is the inferior longitudinal fasciculus (ILF). On the whole, lower ILF integrity contributes to thought disorders, impaired visual emotions, cognitive impairments such as semantic fluency deficits, and mood disorders. This review outlines the microstructural changes in ILF associated with systemic inflammation and various PD symptoms like cognitive decline, facial emotion recognition deficit, depression, color discrimination deficit, olfactory dysfunction, and tremor genesis. However, few studies have investigated DTI correlates of each symptom and larger studies with standardized imaging protocols are required to extend these preliminary findings and lead to more promising results.
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Affiliation(s)
- Maryam Haghshomar
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Dolatshahi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Mehdi Shirin Shandiz
- Department of Medical Physics, Zahedan University of Medical Sciences, Zahedan, Iran
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20
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Social Cognition Dysfunctions in Neurodegenerative Diseases: Neuroanatomical Correlates and Clinical Implications. Behav Neurol 2018; 2018:1849794. [PMID: 29854017 PMCID: PMC5944290 DOI: 10.1155/2018/1849794] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 04/03/2018] [Accepted: 04/11/2018] [Indexed: 02/07/2023] Open
Abstract
Social cognitive function, involved in the perception, processing, and interpretation of social information, has been shown to be crucial for successful communication and interpersonal relationships, thereby significantly impacting mental health, well-being, and quality of life. In this regard, assessment of social cognition, mainly focusing on four key domains, such as theory of mind (ToM), emotional empathy, and social perception and behavior, has been increasingly evaluated in clinical settings, given the potential implications of impairments of these skills for therapeutic decision-making. With regard to neurodegenerative diseases (NDs), most disorders, characterized by variable disease phenotypes and progression, although similar for the unfavorable prognosis, are associated to impairments of social cognitive function, with consequent negative effects on patients' management. Specifically, in some NDs these deficits may represent core diagnostic criteria, such as for behavioral variant frontotemporal dementia (bvFTD), or may emerge during the disease course as critical aspects, such as for Parkinson's and Alzheimer's diseases. On this background, we aimed to revise the most updated evidence on the neurobiological hypotheses derived from network-based approaches, clinical manifestations, and assessment tools of social cognitive dysfunctions in NDs, also prospecting potential benefits on patients' well-being, quality of life, and outcome derived from potential therapeutic perspectives of these deficits.
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Díez-Cirarda M, Ojeda N, Peña J, Cabrera-Zubizarreta A, Lucas-Jiménez O, Gómez-Esteban JC, Gómez-Beldarrain MÁ, Ibarretxe-Bilbao N. Increased brain connectivity and activation after cognitive rehabilitation in Parkinson's disease: a randomized controlled trial. Brain Imaging Behav 2017; 11:1640-1651. [PMID: 27757820 PMCID: PMC5707237 DOI: 10.1007/s11682-016-9639-x] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Cognitive rehabilitation programs have demonstrated efficacy in improving cognitive functions in Parkinson's disease (PD), but little is known about cerebral changes associated with an integrative cognitive rehabilitation in PD. To assess structural and functional cerebral changes in PD patients, after attending a three-month integrative cognitive rehabilitation program (REHACOP). Forty-four PD patients were randomly divided into REHACOP group (cognitive rehabilitation) and a control group (occupational therapy). T1-weighted, diffusion weighted and functional magnetic resonance images (fMRI) during resting-state and during a memory paradigm (with learning and recognition tasks) were acquired at pre-treatment and post-treatment. Cerebral changes were assessed with repeated measures ANOVA 2 × 2 for group x time interaction. During resting-state fMRI, the REHACOP group showed significantly increased brain connectivity between the left inferior temporal lobe and the bilateral dorsolateral prefrontal cortex compared to the control group. Moreover, during the recognition fMRI task, the REHACOP group showed significantly increased brain activation in the left middle temporal area compared to the control group. During the learning fMRI task, the REHACOP group showed increased brain activation in the left inferior frontal lobe at post-treatment compared to pre-treatment. No significant structural changes were found between pre- and post-treatment. Finally, the REHACOP group showed significant and positive correlations between the brain connectivity and activation and the cognitive performance at post-treatment. This randomized controlled trial suggests that an integrative cognitive rehabilitation program can produce significant functional cerebral changes in PD patients and adds evidence to the efficacy of cognitive rehabilitation programs in the therapeutic approach for PD.
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Affiliation(s)
- María Díez-Cirarda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Biskay, Spain
| | - Natalia Ojeda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Biskay, Spain
| | - Javier Peña
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Biskay, Spain
| | | | - Olaia Lucas-Jiménez
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Biskay, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Unit, Biocruces Research Institute; Neurology Service, Cruces University Hospital, Bilbao, Biskay, Spain
| | | | - Naroa Ibarretxe-Bilbao
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Biskay, Spain.
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22
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Pläschke RN, Cieslik EC, Müller VI, Hoffstaedter F, Plachti A, Varikuti DP, Goosses M, Latz A, Caspers S, Jockwitz C, Moebus S, Gruber O, Eickhoff CR, Reetz K, Heller J, Südmeyer M, Mathys C, Caspers J, Grefkes C, Kalenscher T, Langner R, Eickhoff SB. On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification. Hum Brain Mapp 2017; 38:5845-5858. [PMID: 28876500 DOI: 10.1002/hbm.23763] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 07/06/2017] [Accepted: 07/30/2017] [Indexed: 01/10/2023] Open
Abstract
Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. Hum Brain Mapp 38:5845-5858, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Rachel N Pläschke
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Edna C Cieslik
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Veronika I Müller
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Felix Hoffstaedter
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Anna Plachti
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Deepthi P Varikuti
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Mareike Goosses
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Anne Latz
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Susanne Moebus
- Center for Urban Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Julia Heller
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Martin Südmeyer
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Center for Movement Disorders and Neuromodulation, Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Mathys
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julian Caspers
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Grefkes
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine, Cognitive Neurology Group (INM-3), Research Centre Jülich, Jülich, Germany
| | - Tobias Kalenscher
- Comparative Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
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23
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Martinez R, Irigoyen E, Arruti A, Martin JI, Muguerza J. A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2017; 148:81-90. [PMID: 28774441 DOI: 10.1016/j.cmpb.2017.06.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 05/05/2017] [Accepted: 06/20/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND AND OBJECTIVE Detection and labelling of an increment in the human stress level is a contribution focused principally on improving the quality of life of people. This work is aimed to develop a biophysical real-time stress identification and classification system, analysing two noninvasive signals, the galvanic skin response and the heart rate variability. METHODS An experimental procedure was designed and configured in order to elicit a stressful situation that is similar to those found in real cases. A total of 166 subjects participated in this experimental stage. The set of registered signals of each subject was considered as one experiment. A preliminary qualitative analysis of the signals collected was made, based on previous counselling received from neurophysiologists and psychologists. This study revealed a relationship between changes in the temporal signals and the induced stress states in each subject. To identify and classify such states, a subsequent quantitative analysis was performed in order to determine specific numerical information related to the above mentioned relationship. This second analysis gives the particular details to design the finally proposed classification algorithm, based on a Finite State Machine. RESULTS The proposed system is able to classify the detected stress stages at three levels: low, medium, and high. Furthermore, the system identifies persistent stress situations or momentary alerts, depending on the subject's arousal. The system reaches an F1 score of 0.984 in the case of high level, an F1 score of 0.970 for medium level, and an F1 score of 0.943 for low level. CONCLUSION The resulting system is able to detect and classify different stress stages only based on two non invasive signals. These signals can be collected in people during their monitoring and be processed in a real-time sense, as the system can be previously preconfigured. Therefore, it could easily be implemented in a wearable prototype that could be worn by end users without feeling to be monitored. Besides, due to its low computational, the computation of the signals slopes is easy to do and its deployment in real-time applications is feasible.
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Affiliation(s)
- R Martinez
- University of the Basque Country (UPV/EHU), Bilbao, Spain.
| | - E Irigoyen
- University of the Basque Country (UPV/EHU), Bilbao, Spain.
| | - A Arruti
- University of the Basque Country (UPV/EHU), Bilbao, Spain.
| | - J I Martin
- University of the Basque Country (UPV/EHU), Bilbao, Spain.
| | - J Muguerza
- University of the Basque Country (UPV/EHU), Bilbao, Spain.
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24
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Chalah MA, Kauv P, Lefaucheur JP, Hodel J, Créange A, Ayache SS. Theory of mind in multiple sclerosis: A neuropsychological and MRI study. Neurosci Lett 2017; 658:108-113. [PMID: 28855125 DOI: 10.1016/j.neulet.2017.08.055] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 08/17/2017] [Accepted: 08/23/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES Social cognition stands among the most frequently affected yet the least studied cognitive domains in multiple sclerosis (MS). Theory of mind (ToM) is a social cognitive facet that implies the one's ability to predict others' mental states. The objective of this study was to assess the relationship between ToM and neuropsychological and neuroimaging data. METHODS Thirty-eight consecutive MS patients completed the Reading the Mind in the Eyes test (RMET). They underwent a neuropsychological evaluation and a 3T T1-weighted brain MRI. A fully automated volume-based morphometry algorithm (MorphoBox) was applied to calculate regional brain volumes. Correlation analysis was performed using Spearman's test. RESULTS Among the sociodemographic and clinical data, significant correlations were found between RMET scores and each of years of education (r=0.54; p<0.01) and the duration of the disease progressive phase (r=-0.46; p<0.01). Regarding neuropsychological measures, RMET scores were directly correlated with information processing speed (r=0.58; p<0.01) and empathy (r=0.46; p<0.01) scores. As for brain volumes, RMET scores were directly correlated with parietal (left: r=0.39; right: r=0.46; p<0.05) and temporal (left: r=0.36; right: r=0.40; p<0.05) white matter volumes, as well as with cingulate (left: r=0.32; right: r=0.44; p<0.05) gray matter volumes. CONCLUSION These results highlight the relationship between ToM and some of the disease characteristics and cognitive domains. Importantly, ToM performance in MS is associated with brain volumes of key areas in social cognitive networks. Further works are needed to enhance the current knowledge on the underlying mechanisms of ToM deficits in this population.
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Affiliation(s)
- Moussa A Chalah
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Paul Kauv
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Neuroradiologie, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Jean-Pascal Lefaucheur
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Jérôme Hodel
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Neuroradiologie, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Alain Créange
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Neurologie, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France
| | - Samar S Ayache
- EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France; Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, Créteil, France; Neurology Division, Lebanese American University Medical Center Rizk Hospital, Beirut, Lebanon.
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25
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Correction: Neuroanatomical Correlates of Theory of Mind Deficit in Parkinson's Disease: A Multimodal Imaging Study. PLoS One 2015; 10:e0144482. [PMID: 26630377 PMCID: PMC4668077 DOI: 10.1371/journal.pone.0144482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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