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Kleinerova J, Tan EL, Delaney S, Smyth M, Bede P. Advances and research priorities in the respiratory management of ALS: Historical perspectives and new technologies. Rev Neurol (Paris) 2025:S0035-3787(25)00517-X. [PMID: 40328546 DOI: 10.1016/j.neurol.2025.04.008] [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: 02/05/2025] [Revised: 03/24/2025] [Accepted: 04/24/2025] [Indexed: 05/08/2025]
Abstract
Respiratory involvement has been identified as a cardinal feature of amyotrophic lateral sclerosis (ALS) since its earliest descriptions in the 19th century. Since these initial reports, considerable research has been undertaken to clarify the pathophysiology and progression rates associated with respiratory compromise and effective management strategies have been developed. Clinical trials routinely incorporate respiratory measures as study end points, non-invasive ventilation is now widely used in the home setting, cough-assist techniques are commonly used, advanced neurophysiology techniques and wearable technologies have been integrated into respiratory monitoring protocols, and palliative guidelines have been developed to effectively manage respiratory distress. Despite the widespread implementation of these interventions, epidemiology studies are inconsistent and some studies suggest that survival in ALS has not improved significantly with the introduction of these measures. The outcomes of diaphragmatic pacing trials have been disappointing, advanced neurophysiology techniques are not routinely utilised, spinal and brainstem imaging are not commonly undertaken and significant geographical differences exist in proceeding to tracheostomy. The worldwide COVID pandemic has given impetus for remote monitoring, connected devices, video-consultations, and timely vaccinations in ALS; lessons that are invaluable long after the pandemic. Respiratory monitoring and management in ALS is a swiftly evolving facet of ALS care with considerable quality of life benefits.
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Affiliation(s)
- J Kleinerova
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - E L Tan
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - S Delaney
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland
| | - M Smyth
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - P Bede
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland.
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Rizea RE, Corlatescu AD, Costin HP, Dumitru A, Ciurea AV. Understanding Amyotrophic Lateral Sclerosis: Pathophysiology, Diagnosis, and Therapeutic Advances. Int J Mol Sci 2024; 25:9966. [PMID: 39337454 PMCID: PMC11432652 DOI: 10.3390/ijms25189966] [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: 08/01/2024] [Revised: 09/12/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
This review offers an in-depth examination of amyotrophic lateral sclerosis (ALS), addressing its epidemiology, pathophysiology, clinical presentation, diagnostic techniques, and current as well as emerging treatments. The purpose is to condense key findings and illustrate the complexity of ALS, which is shaped by both genetic and environmental influences. We reviewed the literature to discuss recent advancements in understanding molecular mechanisms such as protein misfolding, mitochondrial dysfunction, oxidative stress, and axonal transport defects, which are critical for identifying potential therapeutic targets. Significant progress has been made in refining diagnostic criteria and identifying biomarkers, leading to earlier and more precise diagnoses. Although current drug treatments provide some benefits, there is a clear need for more effective therapies. Emerging treatments, such as gene therapy and stem cell therapy, show potential in modifying disease progression and improving the quality of life for ALS patients. The review emphasizes the importance of continued research to address challenges such as disease variability and the limited effectiveness of existing treatments. Future research should concentrate on further exploring the molecular foundations of ALS and developing new therapeutic approaches. The implications for clinical practice include ensuring the accessibility of new treatments and that healthcare systems are equipped to support ongoing research and patient care.
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Affiliation(s)
- Radu Eugen Rizea
- Department of Neurosurgery, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
- Department of Neurosurgery, "Bagdasar-Arseni" Clinical Emergency Hospital, 041915 Bucharest, Romania
| | - Antonio-Daniel Corlatescu
- Department of Neurosurgery, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
| | - Horia Petre Costin
- Department of Neurosurgery, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
| | - Adrian Dumitru
- Department of Neurosurgery, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
- Department of Morphopathology, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
- Emergency University Hospital Bucharest, 050098 Bucharest, Romania
| | - Alexandru Vlad Ciurea
- Department of Neurosurgery, University of Medicine and Pharmacy, "Carol Davila", 020021 Bucharest, Romania
- Sanador Clinical Hospital, 010991 Bucharest, Romania
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Christidi F, Kleinerova J, Tan EL, Delaney S, Tacheva A, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Siah WF, Chang KM, Lope J, Bede P. Limbic Network and Papez Circuit Involvement in ALS: Imaging and Clinical Profiles in GGGGCC Hexanucleotide Carriers in C9orf72 and C9orf72-Negative Patients. BIOLOGY 2024; 13:504. [PMID: 39056697 PMCID: PMC11273537 DOI: 10.3390/biology13070504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024]
Abstract
Background: While frontotemporal involvement is increasingly recognized in Amyotrophic lateral sclerosis (ALS), the degeneration of limbic networks remains poorly characterized, despite growing evidence of amnestic deficits, impaired emotional processing and deficits in social cognition. Methods: A prospective neuroimaging study was conducted with 204 individuals with ALS and 111 healthy controls. Patients were stratified for hexanucleotide expansion status in C9orf72. A deep-learning-based segmentation approach was implemented to segment the nucleus accumbens, hypothalamus, fornix, mammillary body, basal forebrain and septal nuclei. The cortical, subcortical and white matter components of the Papez circuit were also systematically evaluated. Results: Hexanucleotide repeat expansion carriers exhibited bilateral amygdala, hypothalamus and nucleus accumbens atrophy, and C9orf72 negative patients showed bilateral basal forebrain volume reductions compared to controls. Both patient groups showed left rostral anterior cingulate atrophy, left entorhinal cortex thinning and cingulum and fornix alterations, irrespective of the genotype. Fornix, cingulum, posterior cingulate, nucleus accumbens, amygdala and hypothalamus degeneration was more marked in C9orf72-positive ALS patients. Conclusions: Our results highlighted that mesial temporal and parasagittal subcortical degeneration is not unique to C9orf72 carriers. Our radiological findings were consistent with neuropsychological observations and highlighted the importance of comprehensive neuropsychological testing in ALS, irrespective of the underlying genotype.
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Affiliation(s)
- Foteini Christidi
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Jana Kleinerova
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Siobhan Delaney
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | - Asya Tacheva
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
| | | | - Mark A. Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, D08 W9RT Dublin, Ireland
- Department of Neurology, St James’s Hospital, D08 KC95 Dublin, Ireland
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Kleinerova J, Tahedl M, Tan EL, Delaney S, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Chang KM, Finegan E, Bede P. Supra- and infra-tentorial degeneration patterns in primary lateral sclerosis: a multimodal longitudinal neuroradiology study. J Neurol 2024; 271:3239-3255. [PMID: 38438819 PMCID: PMC11136747 DOI: 10.1007/s00415-024-12261-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND Primary lateral sclerosis (PLS) is traditionally solely associated with progressive upper motor neuron dysfunction manifesting in limb spasticity, gait impairment, bulbar symptoms and pseudobulbar affect. Recent studies have described frontotemporal dysfunction in some patients resulting in cognitive manifestations. Cerebellar pathology is much less well characterised despite sporadic reports of cerebellar disease. METHODS A multi-timepoint, longitudinal neuroimaging study was conducted to characterise the evolution of both intra-cerebellar disease burden and cerebro-cerebellar connectivity. The volumes of deep cerebellar nuclei, cerebellar cortical volumes, cerebro-cerebellar structural and functional connectivity were assessed longitudinally in a cohort of 43 individuals with PLS. RESULTS Cerebello-frontal, -temporal, -parietal, -occipital and cerebello-thalamic structural disconnection was detected at baseline based on radial diffusivity (RD) and cerebello-frontal decoupling was also evident based on fractional anisotropy (FA) alterations. Functional connectivity changes were also detected in cerebello-frontal, parietal and occipital projections. Volume reductions were identified in the vermis, anterior lobe, posterior lobe, and crura. Among the deep cerebellar nuclei, the dorsal dentate was atrophic. Longitudinal follow-up did not capture statistically significant progressive changes. Significant primary motor cortex atrophy and inter-hemispheric transcallosal degeneration were also captured. CONCLUSIONS PLS is not only associated with upper motor neuron dysfunction, but cerebellar cortical volume loss and deep cerebellar nuclear atrophy can also be readily detected. In addition to intra-cerebellar disease burden, cerebro-cerebellar connectivity alterations also take place. Our data add to the evolving evidence of widespread neurodegeneration in PLS beyond the primary motor regions. Cerebellar dysfunction in PLS is likely to exacerbate bulbar, gait and dexterity impairment and contribute to pseudobulbar affect.
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Affiliation(s)
- Jana Kleinerova
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Siobhan Delaney
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin 2, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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Ceccanti M, Libonati L, Moret F, D'Andrea E, Gori MC, Bersani FS, Inghilleri M, Cambieri C. Emotion recognition in amyotrophic lateral sclerosis in a dynamic environment. J Neurol Sci 2024; 460:123019. [PMID: 38640582 DOI: 10.1016/j.jns.2024.123019] [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: 03/13/2024] [Revised: 04/14/2024] [Accepted: 04/15/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVE The aim of our study was to measure the ability of ALS patients to process dynamic facial expressions as compared to a control group of healthy subjects and to correlate this ability in ALS patients with neuropsychological, clinical and neurological measures of the disease. METHODS Sixty-three ALS patients and 47 healthy controls were recruited. All the ALS patients also underwent i) the Geneva Emotion Recognition Test (GERT) in which ten actors express 14 types of dynamic emotions in brief video clips with audio, ii) the Edimburgh Cognitive and Behavioral ALS Screen (ECAS) test; iii) the ALS Functional Rating Scale Revised (ALSFRS-R) and iv) the Medical Research Council (MRC) for the evaluation of muscle strength. All the healthy subjects enrolled in the study underwent the GERT. RESULTS The recognition of irritation and pleasure was significantly different between ALS patients and the control group. The amusement, despair, irritation, joy, sadness and surprise had been falsely recognized differently between the two groups. Specific ALS cognitive impairment was associated with bulbar-onset phenotype (OR = 14,3889; 95%CI = 3,96-52,16). No association was observed between false emotion recognition and cognitive impairment (F(1,60)=,56,971, p=,45,333). The number of categorical errors was significantly higher in the ALS patients than in the control group (27,66 ± 7,28 vs 17,72 ± 5,29; t = 8723; p = 0.001). CONCLUSIONS ALS patients show deficits in the dynamic processing of a wide range of emotions. These deficits are not necessarily associated with a decline in higher cognitive functions: this could therefore lead to an underestimation of the phenomenon.
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Affiliation(s)
- Marco Ceccanti
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Laura Libonati
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Federica Moret
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Edoardo D'Andrea
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Maria Cristina Gori
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy
| | | | - Maurizio Inghilleri
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Chiara Cambieri
- Neuromuscular Disorders Unit, Department of Human Neurosciences, Sapienza University, Rome, Italy.
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Deng F, Bueber MA, Cao Y, Tang J, Bai X, Cho Y, Lee J, Lin Z, Yang Q, Keshavan MS, Stone WS, Qian M, Yang LH, Phillips MR. Assessing social cognition in patients with schizophrenia and healthy controls using the reading the mind in the eyes test (RMET): a systematic review and meta-regression. Psychol Med 2024; 54:847-873. [PMID: 38173096 DOI: 10.1017/s0033291723003501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The reading the mind in the eyes test (RMET) - which assesses the theory of mind component of social cognition - is often used to compare social cognition between patients with schizophrenia and healthy controls. There is, however, no systematic review integrating the results of these studies. We identified 198 studies published before July 2020 that administered RMET to patients with schizophrenia or healthy controls from three English-language and two Chinese-language databases. These studies included 41 separate samples of patients with schizophrenia (total n = 1836) and 197 separate samples of healthy controls (total n = 23 675). The pooled RMET score was 19.76 (95% CI 18.91-20.60) in patients and 25.53 (95% CI 25.19-25.87) in controls (z = 12.41, p < 0.001). After excluding small-sample outlier studies, this difference in RMET performance was greater in studies using non-English v. English versions of RMET (Chi [Q] = 8.54, p < 0.001). Meta-regression analyses found a negative association of age with RMET score and a positive association of years of schooling with RMET score in both patients and controls. A secondary meta-analysis using a spline construction of 180 healthy control samples identified a non-monotonic relationship between age and RMET score - RMET scores increased with age before 31 and decreased with age after 31. These results indicate that patients with schizophrenia have substantial deficits in theory of mind compared with healthy controls, supporting the construct validity of RMET as a measure of social cognition. The different results for English versus non-English versions of RMET and the non-monotonic relationship between age and RMET score highlight the importance of the language of administration of RMET and the possibility that the relationship of aging with theory of mind is different from the relationship of aging with other types of cognitive functioning.
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Affiliation(s)
- Fei Deng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- University of Nottingham School of Economics (Ningbo China), Zhejiang, China
| | - Marlys A Bueber
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yourong Cao
- Guangxi Medical University School of Public Health, Guangxi, China
- The Reproductive Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Jeff Tang
- New York University, New York, NY, USA
| | - Xinyu Bai
- Guangxi Medical University School of Public Health, Guangxi, China
- Guangxi Academy of Medical Sciences & The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi, China
| | - Young Cho
- New York State Psychiatric Institute, New York, NY, USA
| | - Jiwon Lee
- Teachers College, Columbia University, New York, NY, USA
| | - Zhuozhi Lin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Qi Yang
- Ningxia Medical University School of Public Health, Ningxia, China
| | - Matcheri S Keshavan
- Harvard Medical School Department of Psychiatry at Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - William S Stone
- Harvard Medical School Department of Psychiatry at Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Min Qian
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Lawrence H Yang
- New York University, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Michael R Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
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Tan EL, Tahedl M, Lope J, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Chang KM, Finegan E, Bede P. Language deficits in primary lateral sclerosis: cortical atrophy, white matter degeneration and functional disconnection between cerebral regions. J Neurol 2024; 271:431-445. [PMID: 37759084 DOI: 10.1007/s00415-023-11994-7] [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: 08/08/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Primary lateral sclerosis (PLS) is traditionally regarded as a pure upper motor neuron disorder, but recent cases series have highlighted cognitive deficits in executive and language domains. METHODS A single-centre, prospective neuroimaging study was conducted with comprehensive clinical and genetic profiling. The structural and functional integrity of language-associated brain regions and networks were systematically evaluated in 40 patients with PLS in comparison to 111 healthy controls. The structural integrity of the arcuate fascicle, frontal aslant tract, inferior occipito-frontal fascicle, inferior longitudinal fascicle, superior longitudinal fascicle and uncinate fascicle was evaluated. Functional connectivity between the supplementary motor region and the inferior frontal gyrus and connectivity between Wernicke's and Broca's areas was also assessed. RESULTS Cortical thickness reductions were observed in both Wernicke's and Broca's areas. Fractional anisotropy reduction was noted in the aslant tract and increased radical diffusivity (RD) identified in the aslant tract, arcuate fascicle and superior longitudinal fascicle in the left hemisphere. Functional connectivity was reduced along the aslant track, i.e. between the supplementary motor region and the inferior frontal gyrus, but unaffected between Wernicke's and Broca's areas. Cortical thickness alterations, structural and functional connectivity changes were also noted in the right hemisphere. CONCLUSIONS Disease-burden in PLS is not confined to motor regions, but there is also a marked involvement of language-associated tracts, networks and cortical regions. Given the considerably longer survival in PLS compared to ALS, the impact of language impairment on the management of PLS needs to be carefully considered.
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Affiliation(s)
- Ee Ling Tan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Marlene Tahedl
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Eoin Finegan
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Room 5.43, Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Pearse Street, Dublin 2, Ireland.
- Department of Neurology, St James's Hospital, Dublin, Ireland.
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Sanabrais-Jiménez MA, Esquivel-López AA, Sotelo-Ramírez CE, Aguilar-García A, Ordoñez-Martínez B, Jiménez-Pavón J, Madrigal-Lara MV, Díaz-Vivanco AJ, Camarena B. NR3C1 and NR3C2 Genes Increase the Risk of Suicide Attempt in Psychiatric Disorder Patients with History of Childhood Trauma. Neuropsychiatr Dis Treat 2023; 19:2561-2571. [PMID: 38035135 PMCID: PMC10683665 DOI: 10.2147/ndt.s431176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/11/2023] [Indexed: 12/02/2023] Open
Abstract
Background Hypothalamic-pituitary-adrenal axis gene variants and childhood trauma (CT) are considered risk factors for suicide attempt (SA). The aim of the present study was analyzed gene x environment (GxE) interaction of NR3C1, NR3C2, and CT, and NR3C1 and NR3C2 gene expression in the development of SA with CT. Participants and Methods A total of 516 psychiatric Mexican patients from Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz. Among them, 274 had SA at least once and 242 had not SA. Genetic variants of NR3C1 and NR3C2 were genotyped in all the patients, of which were obtained the CT information from medical records. Additionally, the gene expression of NR3C1 and NR3C2 was also analyzed for a subsample of 96 patients, obtaining the TC information from Childhood Trauma Questionnaire (CTQ). Results The analysis showed a GxE interaction of NR3C1, NR3C2, and CT (OR=2.8, 95% CI [1.9-3.9], p<0.0001). Interactions were also observed with neglect (OR=2.1, 95% CI [1.4-3.1], p<0.0001), emotional abuse (OR=2.1, 95% CI [1.5-3], p<0.0001), and sexual abuse (OR=2.4, 95% CI [1.4-2.9], p<0.0001) in the prediction of SA. The analysis of gene expression identified an overexpression of NR3C1 in SA patients with high scores for physical and sexual abuse (p<0.0001; p<0.0006, respectively) and emotional neglect (p=0.014). An underexpression was observed of NR3C2, associated with high scores of trauma subtypes (p<0.0001) except physical neglect. Additionally, we observed an overexpression of NR3C1 gene in patients with SA carriers of A allele of rs6191 (p=0.0015). Also, overexpression of NR3C1 gene in carriers of G allele of rs6198 and underexpression of NR3C2 gene in carriers of G allele of rs5522 (p<0.0001). Conclusion Our findings suggest that genetic variants of NR3C1 and NR3C2 differentially affect expression levels, increasing the susceptibility to SA in psychiatric patients with a history of CT.
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Affiliation(s)
| | - Ayerim Alma Esquivel-López
- Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Carlo Esteban Sotelo-Ramírez
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de Mexico, Mexico
| | - Alejandro Aguilar-García
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de Mexico, Mexico
| | - Bruno Ordoñez-Martínez
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de Mexico, Mexico
| | - Joanna Jiménez-Pavón
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Ciudad de Mexico, Mexico
| | - María Victoria Madrigal-Lara
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Ciudad de Mexico, Mexico
| | - Alan Jair Díaz-Vivanco
- Dirección de Servicios Clínicos, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Ciudad de Mexico, Mexico
| | - Beatriz Camarena
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de Mexico, Mexico
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Abrahams S. Neuropsychological impairment in amyotrophic lateral sclerosis-frontotemporal spectrum disorder. Nat Rev Neurol 2023; 19:655-667. [PMID: 37828358 DOI: 10.1038/s41582-023-00878-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2023] [Indexed: 10/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with a rapid course, characterized by motor neuron dysfunction, leading to progressive disability and death. This Review, which is aimed at neurologists, psychologists and other health professionals who follow evidence-based practice relating to ALS and frontotemporal dementia (FTD), examines the neuropsychological evidence that has driven the reconceptualization of ALS as a spectrum disorder ranging from a pure motor phenotype to ALS-FTD. It focuses on changes in cognition and behaviour, which vary in severity across the spectrum: around 50% individuals with ALS are within the normal range, 15% meet the criteria for ALS-FTD, and the remaining 35% are in the mid-spectrum range with milder and more focal impairments. The cognitive impairments include deficits in verbal fluency, executive functions, social cognition and language, and apathy is the most prevalent behavioural change. The pattern and severity of cognitive and behavioural change predicts underlying regional cerebral dysfunction from brain imaging and post-mortem pathology. Our increased recognition of cognition and behaviour as part of the ALS phenotype has led to the development and standardization of assessment tools, which have been incorporated into research and clinical care. Measuring change over the course of the disease is vital for clinical trials, and neuropsychology is proving to be a biomarker for the earliest preclinical changes.
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Affiliation(s)
- Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK.
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Tahedl M, Tan EL, Chipika RH, Lope J, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Hutchinson S, McKenna MC, Bede P. The involvement of language-associated networks, tracts, and cortical regions in frontotemporal dementia and amyotrophic lateral sclerosis: Structural and functional alterations. Brain Behav 2023; 13:e3250. [PMID: 37694825 PMCID: PMC10636407 DOI: 10.1002/brb3.3250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND Language deficits are cardinal manifestations of some frontotemporal dementia (FTD) phenotypes and also increasingly recognized in sporadic and familial amyotrophic lateral sclerosis (ALS). They have considerable social and quality-of-life implications, and adaptive strategies are challenging to implement. While the neuropsychological profiles of ALS-FTD phenotypes are well characterized, the neuronal underpinnings of language deficits are less well studied. METHODS A multiparametric, quantitative neuroimaging study was conducted to characterize the involvement of language-associated networks, tracts, and cortical regions with a panel of structural, diffusivity, and functional magnetic resonance imaging (MRI) metrics. Seven study groups were evaluated along the ALS-FTD spectrum: healthy controls (HC), individuals with ALS without cognitive impairment (ALSnci), C9orf72-negative ALS-FTD, C9orf72-positive ALS-FTD, behavioral-variant FTD (bvFTD), nonfluent variant primary progressive aphasia (nfvPPA), and semantic variant PPA (svPPA). The integrity of the Broca's area, Wernicke's area, frontal aslant tract (FAT), arcuate fascicle (AF), inferior occipitofrontal fascicle (IFO), inferior longitudinal fascicle (ILF), superior longitudinal fascicle (SLF), and uncinate fascicle (UF) was quantitatively evaluated. The functional connectivity (FC) between Broca's and Wernicke' areas and FC along the FAT was also specifically assessed. RESULTS Patients with nfvPPA and svPPA exhibit distinctive patterns of gray and white matter degeneration in language-associated brain regions. Individuals with bvFTD exhibit Broca's area, right FAT, right IFO, and UF degeneration. The ALSnci group exhibits Broca's area atrophy and decreased FC along the FAT. Both ALS-FTD cohorts, irrespective of C9orf72 status, show bilateral FAT, AF, and IFO pathology. Interestingly, only C9orf72-negative ALS-FTD patients exhibit bilateral uncinate and right ILF involvement, while C9orf72-positive ALS-FTD patients do not. CONCLUSIONS Language-associated tracts and networks are not only affected in language-variant FTD phenotypes but also in ALS and bvFTD. Language domains should be routinely assessed in ALS irrespective of the genotype.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
| | | | - Jasmin Lope
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
| | | | - Mark A. Doherty
- Smurfit Institute of GeneticsTrinity College DublinDublinIreland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
| | | | - Mary Clare McKenna
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
- Department of NeurologySt James's HospitalDublinIreland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of MedicineTrinity College DublinDublinIreland
- Department of NeurologySt James's HospitalDublinIreland
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11
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Abstract
Although the past two decades have produced exciting discoveries in the genetics and pathology of amyotrophic lateral sclerosis (ALS), progress in developing an effective therapy remains slow. This review summarizes the critical discoveries and outlines the advances in disease characterization, diagnosis, imaging, and biomarkers, along with the current status of approaches to ALS care and treatment. Additional knowledge of the factors driving disease progression and heterogeneity will hopefully soon transform the care for patients with ALS into an individualized, multi-prong approach able to prevent disease progression sufficiently to allow for a dignified life with limited disability.
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Affiliation(s)
- Hristelina Ilieva
- Jefferson Weinberg ALS Center, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Justin Kwan
- National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, MD, USA
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12
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Stafford O, Gleeson C, Egan C, Tunney C, Rooney B, O’Keeffe F, McDermott G, Baron-Cohen S, Burke T. A 20-Year Systematic Review of the 'Reading the Mind in the Eyes' Test across Neurodegenerative Conditions. Brain Sci 2023; 13:1268. [PMID: 37759869 PMCID: PMC10526136 DOI: 10.3390/brainsci13091268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
Social cognition has a broad theoretical definition, which includes the ability to mentalise, i.e., recognise and infer mental states to explain and predict another's behaviour. There is growing recognition of the clinical, diagnostic, and prognostic value of assessing a person's ability to perform social cognitive tasks, particularly aspects of theory of mind, such as mentalising. One such measure of mentalising is the 'Reading the Mind in the Eyes' test (RMET). This systematic review and meta-analysis consider performance on the RMET, applied to people with neurodegenerative conditions in matched control studies, since its publication in 2001. Overall, this review includes 22 papers with data from N = 800 participants with neurodegenerative conditions: Alzheimer's disease, n = 31; Parkinson's disease, n = 221; Lewy body dementia, n = 33; motor neuron disease, n = 218; Huntington's disease n = 80; multiple sclerosis, n = 217; and N = 601 matched typical controls. Our meta-analyses show that deficits in mentalising, as measured by the RMET, are consistently reported across neurodegenerative conditions, with participants in both early and late disease stages being affected. Social cognition is an emerging field of cognitive neuroscience requiring specific and sensitive measurement across each subdomain. Adult-based meta-normative data feature, for which future groups or individuals could be compared against, and hypotheses relating to the source of these mentalising deficits are further discussed. This review was registered with PROSPERO (CRD42020182874).
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Affiliation(s)
- Owen Stafford
- School of Psychology, University College Dublin, D04 F6X4 Dublin, Ireland
| | - Christina Gleeson
- School of Psychology, University of Galway, H91 TK33 Galway, Ireland
| | - Ciara Egan
- School of Psychology, University of Galway, H91 TK33 Galway, Ireland
| | - Conall Tunney
- Acquired Brain Injury Ireland, Meath Services, Dublin, Ireland
| | - Brendan Rooney
- School of Psychology, University College Dublin, D04 F6X4 Dublin, Ireland
| | - Fiadhnait O’Keeffe
- School of Psychology, University College Dublin, D04 F6X4 Dublin, Ireland
- St Vincent’s University Hospital, D04 T6F4 Dublin, Ireland
| | - Garret McDermott
- Department of Psychology, Tallaght University Hospital, D24 NR0A Dublin, Ireland
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, Cambridge University, Cambridge CB2 8AH, UK
| | - Tom Burke
- School of Psychology, University College Dublin, D04 F6X4 Dublin, Ireland
- School of Psychology, University of Galway, H91 TK33 Galway, Ireland
- Centre for Neuroimaging, Cognition, and Genomics,University of Galway, H91 TK33 Galway, Ireland
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13
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McKenna MC, Lope J, Bede P, Tan EL. Thalamic pathology in frontotemporal dementia: Predilection for specific nuclei, phenotype-specific signatures, clinical correlates, and practical relevance. Brain Behav 2023; 13:e2881. [PMID: 36609810 PMCID: PMC9927864 DOI: 10.1002/brb3.2881] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Frontotemporal dementia (FTD) phenotypes are classically associated with distinctive cortical atrophy patterns and regional hypometabolism. However, the spectrum of cognitive and behavioral manifestations in FTD arises from multisynaptic network dysfunction. The thalamus is a key hub of several corticobasal and corticocortical circuits. The main circuits relayed via the thalamic nuclei include the dorsolateral prefrontal circuit, the anterior cingulate circuit, and the orbitofrontal circuit. METHODS In this paper, we have reviewed evidence for thalamic pathology in FTD based on radiological and postmortem studies. Original research papers were systematically reviewed for preferential involvement of specific thalamic regions, for phenotype-associated thalamic disease burden patterns, characteristic longitudinal changes, and genotype-associated thalamic signatures. Moreover, evidence for presymptomatic thalamic pathology was also reviewed. Identified papers were systematically scrutinized for imaging methods, cohort sizes, clinical profiles, clinicoradiological associations, and main anatomical findings. The findings of individual research papers were amalgamated for consensus observations and their study designs further evaluated for stereotyped shortcomings. Based on the limitations of existing studies and conflicting reports in low-incidence FTD variants, we sought to outline future research directions and pressing research priorities. RESULTS FTD is associated with focal thalamic degeneration. Phenotype-specific thalamic traits mirror established cortical vulnerability patterns. Thalamic nuclei mediating behavioral and language functions are preferentially involved. Given the compelling evidence for considerable thalamic disease burden early in the course of most FTD subtypes, we also reflect on the practical relevance, diagnostic role, prognostic significance, and monitoring potential of thalamic metrics in FTD. CONCLUSIONS Cardinal manifestations of FTD phenotypes are likely to stem from thalamocortical circuitry dysfunction and are not exclusively driven by focal cortical changes.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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14
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Theme 11 - Cognitive and Psychological Assessment and Support. Amyotroph Lateral Scler Frontotemporal Degener 2022. [DOI: 10.1080/21678421.2022.2120687] [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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15
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Aiello EN, Carelli L, Solca F, Torre S, Ferrucci R, Priori A, Verde F, Silani V, Ticozzi N, Poletti B. Validity and diagnostics of the Reading the Mind in the Eyes Test (RMET) in non-demented amyotrophic lateral sclerosis (ALS) patients. Front Psychol 2022; 13:1031841. [PMID: 36405135 PMCID: PMC9670302 DOI: 10.3389/fpsyg.2022.1031841] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/12/2022] [Indexed: 11/07/2022] Open
Abstract
Background The aim of this study was to explore the construct validity and diagnostic properties of the Reading the Mind in the Eyes Test (RMET) in non-demented patients with amyotrophic lateral sclerosis (ALS). Materials A total of 61 consecutive patients and 50 healthy controls (HCs) were administered the 36-item RMET. Additionally, patients underwent a comprehensive assessment of social cognition via the Story-Based Empathy Task (SET), which encompasses three subtests targeting Causal Inference, Emotion Attribution (SET-EA), and Intention Attribution (SET-IA), as well as global cognitive [the Edinburgh Cognitive and Behavioral ALS Screen (ECAS)] and behavioral screening [the Frontal Behavioral Inventory (FBI); the Dimensional Apathy Scale (DAS); the Beck Depression Inventory (BDI); and the State and Trait Anxiety Inventory-Y]. The construct validity of the RMET was tested by regressing it within a stepwise model that encompassed as predictors the abovementioned cognitive and behavioral measures, covarying for demographic and motor confounders. Receiver-operating characteristics (ROC) analyses allowed exploring intrinsic and post-test properties of the RMET both in discriminating patients from HCs and in identifying patients with a defective SET-EA performance. Results The RMET was solely predicted by the SET-EA (p = 0.003) and SET-IA (p = 0.005). RMET scores showed high accuracy both in discriminating patients from HCs (AUC = 0.81) and in identifying patients with a defective SET-EA score (AUC = 0.82), with adequate-to-optimal both intrinsic and post-test properties. Discussion The RMET is a convergently and divergently valid measure of affective social cognition in non-demented ALS patients, also featuring optimal intrinsic and post-test diagnostic properties in both case-control and case-finding scenarios.
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Affiliation(s)
- Edoardo Nicolò Aiello
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
- Ph.D. Program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Laura Carelli
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
| | - Federica Solca
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
| | - Silvia Torre
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
| | - Roberta Ferrucci
- Aldo Ravelli Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, International Medical School, University of Milan, Milan, Italy
- ASST Santi Paolo e Carlo, San Paolo University Hospital, Milan, Italy
- IRCCS Ca’ Granda Foundation Maggiore Policlinico Hospital, Milan, Italy
| | - Alberto Priori
- Aldo Ravelli Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, International Medical School, University of Milan, Milan, Italy
- ASST Santi Paolo e Carlo, San Paolo University Hospital, Milan, Italy
| | - Federico Verde
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
- “Dino Ferrari” Center, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Vincenzo Silani
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
- “Dino Ferrari” Center, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Nicola Ticozzi
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
- “Dino Ferrari” Center, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Barbara Poletti
- IRCCS Istituto Auxologico Italiano, Department of Neurology and Laboratory of Neuroscience, Milan, Italy
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16
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Melby K, Spigset O, Gråwe RW, Aamo TO, Quintana DS. The effect of intranasal oxytocin on processing emotional stimuli during alcohol withdrawal: A randomized placebo-controlled double-blind clinical trial. Horm Behav 2022; 146:105268. [PMID: 36242831 DOI: 10.1016/j.yhbeh.2022.105268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 09/15/2022] [Accepted: 09/24/2022] [Indexed: 11/04/2022]
Abstract
Alcohol dependence is associated with difficulties in processing emotional stimuli, which can lead to interpersonal problems. The neuropeptide oxytocin has been shown to modulate the processing of emotional stimuli, however, oxytocin treatment has not yet been examined in patients with withdrawal symptoms during alcohol detoxification. The aim of the present study was to investigate the effect of oxytocin on the reading the mind in the eyes test (RMET), which indexes theory of mind ability, during a three-day period of alcohol detoxification at an addiction treatment centre in Norway. We performed a randomized, double-blind, placebo-controlled trial in 39 patients fulfilling criteria for ICD-10 diagnosis of alcohol dependence admitted for alcohol detoxification and withdrawal treatment. Participants were randomized to receive either intranasal oxytocin (24 IU) or placebo, twice daily for three days. We evaluated RMET performance on day 2 and day 3 of detoxification and differences in RMET scores between day 2 and day 3 of detoxification. Frequentist and Bayesian statistical inference suggested that oxytocin administration during alcohol withdrawal in alcohol-dependent patients did not improve RMET performance. However, exploratory analyses provided preliminary evidence that oxytocin might improve performance on the RMET negative emotion subscale (uncorrected p value = 0.038), and that oxytocin treatment might show the most promise for those with high levels of alcohol consumption (i.e., ≥20 alcohol units per day; uncorrected p value = 0.023). Moreover, alcohol consumption levels significantly predicted RMET performance on day 2, but not on day 3, of withdrawal.
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Affiliation(s)
- Katrine Melby
- Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway.
| | - Olav Spigset
- Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology - NTNU, Trondheim, Norway
| | - Rolf W Gråwe
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology - NTNU, Trondheim, Norway; Department of Research and Development, Division of Psychiatry, St. Olav University Hospital, Trondheim, Norway
| | - Trond O Aamo
- Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway; Blue Cross Lade Addiction Treatment Centre, Trondheim, Norway
| | - Daniel S Quintana
- Department of Psychology, University of Oslo, Oslo, Norway; NevSom, Department of Rare Disorders, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT) and KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
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17
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Urso D, Zoccolella S, Gnoni V, Logroscino G. Amyotrophic Lateral Sclerosis-The Complex Phenotype-From an Epidemiological Perspective: A Focus on Extrapyramidal and Non-Motor Features. Biomedicines 2022; 10:biomedicines10102537. [PMID: 36289799 PMCID: PMC9599737 DOI: 10.3390/biomedicines10102537] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/24/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease (MND) and has emerged, among the disorders, with the largest increase in incidence in Western countries. Although the typical clinical phenotype of ALS involves simultaneous upper and lower motor neurons, there is growing evidence that the neurodegeneration during the course of the disease can also involve other motor and non-motor regions. In this review, we analyzed and discussed available data from epidemiological population-based studies on extrapyramidal and non-motor features during the course of ALS.
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Affiliation(s)
- Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, 73039 Tricase, Italy
- Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
- Correspondence: (D.U.); (G.L.)
| | - Stefano Zoccolella
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, 73039 Tricase, Italy
| | - Valentina Gnoni
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, 73039 Tricase, Italy
- Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London SE5 8AF, UK
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, 73039 Tricase, Italy
- Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari ‘Aldo Moro’, 70121 Bari, Italy
- Correspondence: (D.U.); (G.L.)
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18
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Rinaldi S, Rinaldi C, Rinaldi A, Fontani V. Radio Electric Asymmetric Conveyer (REAC) Neurobiological Stimulation Treatments in Dysfunctional Motor Behavior in Flail Arm Syndrome: A Case Report. Cureus 2022; 14:e28159. [PMID: 35999998 PMCID: PMC9391611 DOI: 10.7759/cureus.28159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2022] [Indexed: 11/26/2022] Open
Abstract
Flail arm syndrome (FAS) is a variant of amyotrophic lateral sclerosis (ALS) that manifests itself with the progressive loss of motor control of the upper limbs starting from the proximal part. Both electrophysiological and magnetic resonance studies have shown that functional alterations in the subcortical structures, cerebellum, and cortex are present in this pathology. These alterations appear to play a significant component in determining cognitive, motor, and behavioral effects. To try to modulate these alterations, in this case report, we used three noninvasive and specific neuromodulation treatments of the Radio Electric Asymmetric Conveyer (REAC) technology. The Neuro Postural Optimization (NPO), the Neuro Psycho Physical Optimization (NPPO), and the Neuro Psycho Physical Optimization Cervico-Brachial (NPPO-CB) with the aim of improving motor control, depression, anxiety, and stress. At the end of the treatment cycle that lasted five consecutive days, the patient regained the ability to raise his arms, a capacity he had lost for several months. This case demonstrates that REAC neurobiological modulation treatments aimed at improving dysfunctional neuropsychomotor behavior (DNPMB) can be useful in highlighting and reducing these components, allowing for better evaluation of the real neurodegenerative damage and determination of a better quality of life for these patients.
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19
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McKenna MC, Tahedl M, Lope J, Chipika RH, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Mapping cortical disease-burden at individual-level in frontotemporal dementia: implications for clinical care and pharmacological trials. Brain Imaging Behav 2022; 16:1196-1207. [PMID: 34882275 PMCID: PMC9107414 DOI: 10.1007/s11682-021-00523-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2021] [Indexed: 01/25/2023]
Abstract
Imaging studies of FTD typically present group-level statistics between large cohorts of genetically, molecularly or clinically stratified patients. Group-level statistics are indispensable to appraise unifying radiological traits and describe genotype-associated signatures in academic studies. However, in a clinical setting, the primary objective is the meaningful interpretation of imaging data from individual patients to assist diagnostic classification, inform prognosis, and enable the assessment of progressive changes compared to baseline scans. In an attempt to address the pragmatic demands of clinical imaging, a prospective computational neuroimaging study was undertaken in a cohort of patients across the spectrum of FTD phenotypes. Cortical changes were evaluated in a dual pipeline, using standard cortical thickness analyses and an individualised, z-score based approach to characterise subject-level disease burden. Phenotype-specific patterns of cortical atrophy were readily detected with both methodological approaches. Consistent with their clinical profiles, patients with bvFTD exhibited orbitofrontal, cingulate and dorsolateral prefrontal atrophy. Patients with ALS-FTD displayed precentral gyrus involvement, nfvPPA patients showed widespread cortical degeneration including insular and opercular regions and patients with svPPA exhibited relatively focal anterior temporal lobe atrophy. Cortical atrophy patterns were reliably detected in single individuals, and these maps were consistent with the clinical categorisation. Our preliminary data indicate that standard T1-weighted structural data from single patients may be utilised to generate maps of cortical atrophy. While the computational interpretation of single scans is challenging, it offers unrivalled insights compared to visual inspection. The quantitative evaluation of individual MRI data may aid diagnostic classification, clinical decision making, and assessing longitudinal changes.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
- Institute for Psychology, University of Regensburg, Regensburg, Germany
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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20
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Abidi M, Pradat PF, Termoz N, Couillandre A, Bede P, de Marco G. Motor imagery in amyotrophic lateral Sclerosis: An fMRI study of postural control. Neuroimage Clin 2022; 35:103051. [PMID: 35598461 PMCID: PMC9127212 DOI: 10.1016/j.nicl.2022.103051] [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: 01/01/2022] [Revised: 04/02/2022] [Accepted: 05/15/2022] [Indexed: 11/13/2022]
Abstract
ALS is associated with postural control impairment. DCM and PEB frameworks help to characterize connectivity patterns during gait. Clinical manifestations of ALS are underpinned by selective network dysfunction. Altered BG-SMA and SMA-PPC connectivity are observed during imagined gait in ALS. Enhanced BG-cerebellar connectivity may represent functional adaptation.
Background The functional reorganization of brain networks sustaining gait is poorly characterized in amyotrophic lateral sclerosis (ALS) despite ample evidence of progressive disconnection between brain regions. The main objective of this fMRI study is to assess gait imagery-specific networks in ALS patients using dynamic causal modeling (DCM) complemented by parametric empirical Bayes (PEB) framework. Method Seventeen lower motor neuron predominant (LMNp) ALS patients, fourteen upper motor neuron predominant (UMNp) ALS patients and fourteen healthy controls participated in this study. Each subject performed a dual motor imagery task: normal and precision gait. The Movement Imagery Questionnaire (MIQ-rs) and imagery time (IT) were used to evaluate gait imagery in each participant. In a neurobiological computational model, the circuits involved in imagined gait and postural control were investigated by modelling the relationship between normal/precision gait and connection strengths. Results Behavioral results showed significant increase in IT in UMNp patients compared to healthy controls (Pcorrected < 0.05) and LMNp (Pcorrected < 0.05). During precision gait, healthy controls activate the model's circuits involved in the imagined gait and postural control. In UMNp, decreased connectivity (inhibition) from basal ganglia (BG) to supplementary motor area (SMA) and from SMA to posterior parietal cortex (PPC) is observed. Contrary to healthy controls, DCM detects no cerebellar-PPC connectivity in neither UMNp nor LMNp ALS. During precision gait, bilateral connectivity (excitability) between SMA and BG is observed in the LMNp group contrary to UMNp and healthy controls. Conclusions Our findings demonstrate the utility of implementing both DCM and PEB to characterize connectivity patterns in specific patient phenotypes. Our approach enables the identification of specific circuits involved in postural deficits, and our findings suggest a putative excitatory–inhibitory imbalance. More broadly, our data demonstrate how clinical manifestations are underpinned by network-specific disconnection phenomena in ALS.
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Affiliation(s)
- Malek Abidi
- LINP2 Laboratory, UPL, Paris Nanterre University, France; COMUE Paris Lumières University, France
| | - Pierre-Francois Pradat
- Department of Neurology, Pitié-Salpêtrière University Hospital, Paris, France; Biomedical Imaging Laboratory, Sorbonne University, CNRS, INSERM, Paris, France; Biomedical Sciences Research Institute, Northern Ireland Centre for Stratified Medicine, Ulster University, Londonderry, UK
| | - Nicolas Termoz
- LINP2 Laboratory, UPL, Paris Nanterre University, France; COMUE Paris Lumières University, France
| | - Annabelle Couillandre
- LINP2 Laboratory, UPL, Paris Nanterre University, France; Université Paris-Saclay,CIAMS, Orsay, France
| | - Peter Bede
- Department of Neurology, Pitié-Salpêtrière University Hospital, Paris, France; Biomedical Imaging Laboratory, Sorbonne University, CNRS, INSERM, Paris, France; Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - Giovanni de Marco
- LINP2 Laboratory, UPL, Paris Nanterre University, France; COMUE Paris Lumières University, France.
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McKenna MC, Li Hi Shing S, Murad A, Lope J, Hardiman O, Hutchinson S, Bede P. Focal thalamus pathology in frontotemporal dementia: Phenotype-associated thalamic profiles. J Neurol Sci 2022; 436:120221. [DOI: 10.1016/j.jns.2022.120221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/21/2022] [Accepted: 03/03/2022] [Indexed: 11/25/2022]
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22
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Bede P, Lope J. Biomarker development in Amyotrophic Lateral Sclerosis: challenges and viable strategies. Eur J Neurol 2022; 29:1867-1868. [PMID: 35467797 DOI: 10.1111/ene.15372] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 04/18/2022] [Accepted: 04/21/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Ireland
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23
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Clusters of anatomical disease-burden patterns in ALS: a data-driven approach confirms radiological subtypes. J Neurol 2022; 269:4404-4413. [PMID: 35333981 PMCID: PMC9294023 DOI: 10.1007/s00415-022-11081-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 12/28/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is associated with considerable clinical heterogeneity spanning from diverse disability profiles, differences in UMN/LMN involvement, divergent progression rates, to variability in frontotemporal dysfunction. A multitude of classification frameworks and staging systems have been proposed based on clinical and neuropsychological characteristics, but disease subtypes are seldom defined based on anatomical patterns of disease burden without a prior clinical stratification. A prospective research study was conducted with a uniform imaging protocol to ascertain disease subtypes based on preferential cerebral involvement. Fifteen brain regions were systematically evaluated in each participant based on a comprehensive panel of cortical, subcortical and white matter integrity metrics. Using min–max scaled composite regional integrity scores, a two-step cluster analysis was conducted. Two radiological clusters were identified; 35.5% of patients belonging to ‘Cluster 1’ and 64.5% of patients segregating to ‘Cluster 2’. Subjects in Cluster 1 exhibited marked frontotemporal change. Predictor ranking revealed the following hierarchy of anatomical regions in decreasing importance: superior lateral temporal, inferior frontal, superior frontal, parietal, limbic, mesial inferior temporal, peri-Sylvian, subcortical, long association fibres, commissural, occipital, ‘sensory’, ‘motor’, cerebellum, and brainstem. While the majority of imaging studies first stratify patients based on clinical criteria or genetic profiles to describe phenotype- and genotype-associated imaging signatures, a data-driven approach may identify distinct disease subtypes without a priori patient categorisation. Our study illustrates that large radiology datasets may be potentially utilised to uncover disease subtypes associated with unique genetic, clinical or prognostic profiles.
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24
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McKenna MC, Tahedl M, Murad A, Lope J, Hardiman O, Hutchinson S, Bede P. White matter microstructure alterations in frontotemporal dementia: Phenotype-associated signatures and single-subject interpretation. Brain Behav 2022; 12:e2500. [PMID: 35072974 PMCID: PMC8865163 DOI: 10.1002/brb3.2500] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/22/2021] [Accepted: 01/01/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Frontotemporal dementias (FTD) include a genetically heterogeneous group of conditions with distinctive molecular, radiological and clinical features. The majority of radiology studies in FTD compare FTD subgroups to healthy controls to describe phenotype- or genotype-associated imaging signatures. While the characterization of group-specific imaging traits is academically important, the priority of clinical imaging is the meaningful interpretation of individual datasets. METHODS To demonstrate the feasibility of single-subject magnetic resonance imaging (MRI) interpretation, we have evaluated the white matter profile of 60 patients across the clinical spectrum of FTD. A z-score-based approach was implemented, where the diffusivity metrics of individual patients were appraised with reference to demographically matched healthy controls. Fifty white matter tracts were systematically evaluated in each subject with reference to normative data. RESULTS The z-score-based approach successfully detected white matter pathology in single subjects, and group-level inferences were analogous to the outputs of standard track-based spatial statistics. CONCLUSIONS Our findings suggest that it is possible to meaningfully evaluate the diffusion profile of single FTD patients if large normative datasets are available. In contrast to the visual review of FLAIR and T2-weighted images, computational imaging offers objective, quantitative insights into white matter integrity changes even at single-subject level.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Marlene Tahedl
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Aizuri Murad
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
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25
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Bede P, Murad A, Lope J, Li Hi Shing S, Finegan E, Chipika RH, Hardiman O, Chang KM. Phenotypic categorisation of individual subjects with motor neuron disease based on radiological disease burden patterns: A machine-learning approach. J Neurol Sci 2022; 432:120079. [PMID: 34875472 DOI: 10.1016/j.jns.2021.120079] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 11/25/2021] [Accepted: 11/29/2021] [Indexed: 12/20/2022]
Abstract
Motor neuron disease is an umbrella term encompassing a multitude of clinically heterogeneous phenotypes. The early and accurate categorisation of patients is hugely important, as MND phenotypes are associated with markedly different prognoses, progression rates, care needs and benefit from divergent management strategies. The categorisation of patients shortly after symptom onset is challenging, and often lengthy clinical monitoring is needed to assign patients to the appropriate phenotypic subgroup. In this study, a multi-class machine-learning strategy was implemented to classify 300 patients based on their radiological profile into diagnostic labels along the UMN-LMN spectrum. A comprehensive panel of cortical thickness measures, subcortical grey matter variables, and white matter integrity metrics were evaluated in a multilayer perceptron (MLP) model. Additional exploratory analyses were also carried out using discriminant function analyses (DFA). Excellent classification accuracy was achieved for amyotrophic lateral sclerosis in the testing cohort (93.7%) using the MLP model, but poor diagnostic accuracy was detected for primary lateral sclerosis (43.8%) and poliomyelitis survivors (60%). Feature importance analyses highlighted the relevance of white matter diffusivity metrics and the evaluation of cerebellar indices, cingulate measures and thalamic radiation variables to discriminate MND phenotypes. Our data suggest that radiological data from single patients may be meaningfully interpreted if large training data sets are available and the provision of diagnostic probability outcomes may be clinically useful in patients with short symptom duration. The computational interpretation of multimodal radiology datasets herald viable diagnostic, prognostic and clinical trial applications.
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Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France.
| | - Aizuri Murad
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Department of Electronics and Computer Science, University of Southampton, UK
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26
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Finegan E, Siah WF, Li Hi Shing S, Chipika RH, Hardiman O, Bede P. Cerebellar degeneration in primary lateral sclerosis: an under-recognized facet of PLS. Amyotroph Lateral Scler Frontotemporal Degener 2022; 23:542-553. [PMID: 34991421 DOI: 10.1080/21678421.2021.2023188] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
While primary lateral sclerosis (PLS) has traditionally been regarded as a pure upper motor neuron disorder, recent clinical, neuroimaging and postmortem studies have confirmed significant extra-motor involvement. Sporadic reports have indicated that in addition to the motor cortex and corticospinal tracts, the cerebellum may also be affected in PLS. Cerebellar manifestations are difficult to ascertain in PLS as the clinical picture is dominated by widespread upper motor neuron signs. The likely contribution of cerebellar dysfunction to gait disturbance, falls, pseudobulbar affect and dysarthria may be overlooked in the context of progressive spasticity. The objective of this study is the comprehensive characterization of cerebellar gray and white matter degeneration in PLS using multiparametric quantitative neuroimaging methods to systematically evaluate each cerebellar lobule and peduncle. Forty-two patients with PLS and 117 demographically-matched healthy controls were enrolled in a prospective MRI study. Complementary volumetric and voxelwise analyses revealed focal cerebellar alterations instead of global cerebellar atrophy. Bilateral gray matter volume reductions were observed in lobules III, IV and VIIb. Significant diffusivity alterations within the superior cerebellar peduncle indicate disruption of the main cerebellar outflow tracts. These findings suggest that the considerable intra-cerebellar disease-burden is coupled with concomitant cerebro-cerebellar connectivity disruptions. While cerebellar dysfunction is challenging to demonstrate clinically, cerebellar pathology is likely to be a significant contributor to disability in PLS.
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Affiliation(s)
- Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.,Department of Neurology, St James's Hospital Dublin, Dublin, Ireland
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27
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Effect of childhood maltreatment on cardiovascular response habitation to repeated psychosocial stress. Int J Psychophysiol 2021; 172:10-16. [PMID: 34954315 DOI: 10.1016/j.ijpsycho.2021.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 09/23/2021] [Accepted: 12/13/2021] [Indexed: 11/21/2022]
Abstract
Childhood maltreatment as an early-life stress leads to cardiovascular stress response dysregulation manifested by either exaggerated or blunted stress responses. However, little is known how childhood maltreatment affects cardiovascular response habituation to recurrent stress, which implicated in the long-term health effects of chronic stress. The scale of Childhood Trauma Questionnaire (CTQ) was administered to 192 healthy undergraduates who underwent continuous cardiovascular monitoring [heart rate (HR), blood pressure (BP), cardiac output (CO) and total peripheral resistance (TPR)] while facing two consecutive psychosocial stress exposures (public speaking tasks). Results showed that childhood maltreatment was negatively associated with HR and CO reactivity to the first stress exposure and HR reactivity to the second stress exposure. Even after controlling for depression symptoms, both high and low childhood maltreatment groups (upper and lower 27% of total CTQ scores) exhibited HR and CO response habituation to repeated stress exposures, but high childhood maltreatment group showed blunted HR and CO reactivity to the first stress exposure compared with low childhood maltreatment group. These findings suggest that the observed cardiovascular response habituation to repeated stress following initial blunted (i.e., inadequate) reactivity among individuals with high childhood maltreated experiences might be maladaptive, which would lead to cardiovascular disease risk.
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28
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Panopoulou N, Christidi F, Kourtesis P, Ferentinos P, Karampetsou P, Tsirtsiridis G, Theodosiou T, Xirou S, Zouvelou V, Evdokimidis I, Rentzos M, Zalonis I. The association of theory of mind with language and visuospatial abilities in amyotrophic lateral sclerosis: a pilot study. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:462-469. [PMID: 34907827 DOI: 10.1080/21678421.2021.2013893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Objective: Dysfunction of social cognition is well-recognized as one of amyotrophic lateral sclerosis (ALS) cognitive impairments. Previous studies have mostly associated social cognition subcomponents, including Theory of Mind (ToM), with executive dysfunction using highly-demanding tasks. In the present study, we investigate dysfunction of affective ToM in a sample of ALS patients without dementia and evaluate any possible associations both with executive and non-executive dysfunction.Methods: We included 42 ALS patients and 30 healthy controls (HC) and administered the Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS). Affective ToM was examined based on the ECAS judgment of preference task; total score and type of errors ("favourite", "unclassified") were recorded for all participants.Results: A significant proportion of ALS patients (31%) were impaired on ToM task, scoring significantly lower compared to HC. Impairments in ToM task were more frequent (45%) in patients with cognitive impairment compared to those with intact cognition (15%). ALS patients showed significantly more errors on ToM task compared to HC. A significant association was found between ToM score and ECAS language and visuospatial abilities but not fluency, executive or memory function.Conclusion: Dysfunction of affective ToM appears prevalent in ALS patients without dementia, and associates with language and visuospatial abilities. These associations align with motor and extra-motor symptoms due to the degeneration across corresponding networks. Impaired ToM should be considered in clinical settings, since it might contribute to patients' social life, as well as the burden of their caregivers and relatives.
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Affiliation(s)
- Niki Panopoulou
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Second Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Laboratory of Medical Physics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Kourtesis
- National Research Institute of Computer Science and Automation, INRIA, Rennes, France.,Univ Rennes, Rennes, France.,Research Institute of Computer Science and Random Systems, IRISA, Rennes, France, and.,French National Centre for Scientific Research, CNRS, Rennes, France
| | - Panagiotis Ferentinos
- Second Department of Psychiatry, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiota Karampetsou
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Tsirtsiridis
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Thomas Theodosiou
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Sofia Xirou
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasiliki Zouvelou
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Evdokimidis
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Michail Rentzos
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Zalonis
- Neuropsychological Laboratory, First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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29
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Tahedl M, Li Hi Shing S, Finegan E, Chipika RH, Lope J, Murad A, Hardiman O, Bede P. Imaging data reveal divergent longitudinal trajectories in PLS, ALS and poliomyelitis survivors: Group-level and single-subject traits. Data Brief 2021; 39:107484. [PMID: 34901337 PMCID: PMC8640870 DOI: 10.1016/j.dib.2021.107484] [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: 08/24/2021] [Revised: 09/28/2021] [Accepted: 10/11/2021] [Indexed: 01/02/2023] Open
Abstract
Imaging profiles from a longitudinal single-centre motor neuron disease study are presented. A standardized T1-weighted MRI protocol was implemented to characterise cortical disease burden trajectories across the UMN (upper motor neuron) - LMN (lower motor neuron) spectrum of motor neuron diseases (MNDs) (Tahedl et al., 2021). Patients with amyotrophic lateral sclerosis (ALS n = 61), patients with primary lateral sclerosis (PLS n = 23) and poliomyelitis survivors (PMS n = 45) were included. Up to four longitudinal scans were available for each patient, separated by an inter-scan-interval of four months. Individual and group-level cortical thickness profiles were appraised using a normalisation procedure with reference to subject-specific control groups. A z-scoring approach was utilised, where each patients' cortex was first segmented into 1000 cortical regions, and then rated as 'thin', 'thick', or 'comparable' to the corresponding region of a demographically-matched control cohort. Fractions of significantly 'thin' and 'thick' patches were calculated across the entire cerebral vertex as well as in specific brain regions, such as the motor cortex, parietal, frontal and temporal cortices. This approach allows the characterisation of disease burden in individual subjects as well as at a group-level, both cross-sectionally and longitudinally. The presented framework may aid the interpretation of individual cortical disease burden in other patient cohorts.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland.,Department of Psychiatry and Psychotherapy and Institute for Psychology, University of Regensburg, Germany
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Aizuri Murad
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Pearse Street Room 5.43, Dublin, Ireland.,Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
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30
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Chipika RH, Siah WF, McKenna MC, Li Hi Shing S, Hardiman O, Bede P. The presymptomatic phase of amyotrophic lateral sclerosis: are we merely scratching the surface? J Neurol 2021; 268:4607-4629. [PMID: 33130950 DOI: 10.1007/s00415-020-10289-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/18/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023]
Abstract
Presymptomatic studies in ALS have consistently captured considerable disease burden long before symptom manifestation and contributed important academic insights. With the emergence of genotype-specific therapies, however, there is a pressing need to address practical objectives such as the estimation of age of symptom onset, phenotypic prediction, informing the optimal timing of pharmacological intervention, and identifying a core panel of biomarkers which may detect response to therapy. Existing presymptomatic studies in ALS have adopted striking different study designs, relied on a variety of control groups, used divergent imaging and electrophysiology methods, and focused on different genotypes and demographic groups. We have performed a systematic review of existing presymptomatic studies in ALS to identify common themes, stereotyped shortcomings, and key learning points for future studies. Existing presymptomatic studies in ALS often suffer from sample size limitations, lack of disease controls and rarely follow their cohort until symptom manifestation. As the characterisation of presymptomatic processes in ALS serves a multitude of academic and clinical purposes, the careful review of existing studies offers important lessons for future initiatives.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), Biomedical Sciences Institute, Trinity College Dublin, Pearse Street, Dublin, Ireland.
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31
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Bede P, Chipika RH, Christidi F, Hengeveld JC, Karavasilis E, Argyropoulos GD, Lope J, Li Hi Shing S, Velonakis G, Dupuis L, Doherty MA, Vajda A, McLaughlin RL, Hardiman O. Genotype-associated cerebellar profiles in ALS: focal cerebellar pathology and cerebro-cerebellar connectivity alterations. J Neurol Neurosurg Psychiatry 2021; 92:1197-1205. [PMID: 34168085 PMCID: PMC8522463 DOI: 10.1136/jnnp-2021-326854] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/02/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Cerebellar disease burden and cerebro-cerebellar connectivity alterations are poorly characterised in amyotrophic lateral sclerosis (ALS) despite the likely contribution of cerebellar pathology to the clinical heterogeneity of the condition. METHODS A prospective imaging study has been undertaken with 271 participants to systematically evaluate cerebellar grey and white matter alterations, cerebellar peduncle integrity and cerebro-cerebellar connectivity in ALS. Participants were stratified into four groups: (1) patients testing positive for GGGGCC repeat expansions in C9orf72, (2) patients carrying an intermediate-length repeat expansion in ATXN2, (3) patients without established ALS-associated mutations and (4) healthy controls. Additionally, the cerebellar profile of a single patient with ALS who had an ATXN2 allele length of 62 was evaluated. Cortical thickness, grey matter and white matter volumes were calculated in each cerebellar lobule complemented by morphometric analyses to characterise genotype-associated atrophy patterns. A Bayesian segmentation algorithm was used for superior cerebellar peduncle volumetry. White matter diffusivity parameters were appraised both within the cerebellum and in the cerebellar peduncles. Cerebro-cerebellar connectivity was assessed using deterministic tractography. RESULTS Cerebellar pathology was confined to lobules I-V of the anterior lobe in patients with sporadic ALS in contrast to the considerable posterior lobe and vermis disease burden identified in C9orf72 mutation carriers. Patients with intermediate ATXN2 expansions did not exhibit significant cerebellar pathology. CONCLUSIONS Focal rather than global cerebellar degeneration characterises ALS. Pathognomonic ALS symptoms which are typically attributed to other anatomical regions, such as dysarthria, dysphagia, pseudobulbar affect, eye movement abnormalities and cognitive deficits, may be modulated, exacerbated or partially driven by cerebellar changes in ALS.
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Affiliation(s)
- Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | | | - Foteini Christidi
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
- National and Kapodistrian University of Athens, Athens, Greece
| | | | | | | | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | | | - Léonie Dupuis
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
- University of Central Florida College of Medicine, Orlando, Florida, USA
| | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Alice Vajda
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
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32
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Li Hi Shing S, Lope J, Chipika RH, Hardiman O, Bede P. Extra-motor manifestations in post-polio syndrome (PPS): fatigue, cognitive symptoms and radiological features. Neurol Sci 2021; 42:4569-4581. [PMID: 33635429 DOI: 10.1007/s10072-021-05130-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/20/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND There is a paucity of cerebral neuroimaging studies in post-polio syndrome (PPS), despite the severity of neurological and neuropsychological sequelae associated with the condition. Fatigue, poor concentration, limited exercise tolerance, paraesthesia and progressive weakness are frequently reported, but the radiological underpinnings of these symptoms are poorly characterised. OBJECTIVE The aim of this study is to evaluate cortical and subcortical alterations in a cohort of adult polio survivors to explore the anatomical substrate of extra-motor manifestations. METHODS Thirty-six patients with post-polio syndrome, a disease-control group with amyotrophic lateral sclerosis patients and a cohort of healthy individuals were included in a prospective neuroimaging study with a standardised clinical and radiological protocol. Validated clinical instruments were utilised to assess mood, cognitive and behavioural domains and specific aspects of fatigue. Cortical thickness analyses, subcortical volumetry, brainstem segmentation and region-of-interest (ROI) white matter analyses were undertaken to assess regional grey and white matter alterations. RESULTS A high proportion of PPS patients exhibited apathy, verbal fluency deficits and reported self-perceived fatigue. On ROI analyses, cortical atrophy was limited to the cingulate gyrus, and the temporal pole and subcortical atrophy were only detected in the left nucleus accumbens. No FA reductions were noted to indicate white matter degeneration in any of the lobes. CONCLUSIONS Despite the high incidence of extra-motor manifestations in PPS, only limited cortical, subcortical and white matter degeneration was identified. Our findings suggest that non-structural causes, such as polypharmacy and poor sleep, may contribute to the complex symptomatology of post-polio syndrome.
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Affiliation(s)
- Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland.
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33
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Emotional Processing and Experience in Amyotrophic Lateral Sclerosis: A Systematic and Critical Review. Brain Sci 2021; 11:brainsci11101356. [PMID: 34679420 PMCID: PMC8534224 DOI: 10.3390/brainsci11101356] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 10/10/2021] [Accepted: 10/12/2021] [Indexed: 11/16/2022] Open
Abstract
Even though increasing literature describes changes in emotional processing in Amyotrophic Lateral Sclerosis (ALS), efforts to summarize relevant findings are lacking in the field. A systematic literature review was performed to provide a critical and up-to-date account of emotional abilities in ALS. References were identified by searches of PubMed, Web of Science and Scopus (1980–2021, English literature), with the following key terms: (“Amyotrophic Lateral Sclerosis” or “Primary Lateral Sclerosis” or “Motor Neuron”) and “Emotion*” and (“Processing” or “Attribution” or “Elaboration” or “Perception” or “Recognition”). Studies concerning only caregivers, pseudobulbar affect, and social cognition were excluded. Forty-one articles were included, all concerning ALS, and seven topics were identified: Emotion recognition, Emotional responsiveness, Emotional reactivity, Faces approachability rating, Valence rating, Memory for emotional materials and Alexithymia. The majority of these aspects have only been sparsely addressed. The evidence confirms altered emotional processing in ALS. The most consistent findings regard the recognition of facial expressions for negative emotions, but also alterations in the subjective responsiveness to emotional stimuli (arousal, valence and approachability), in psychophysiological and cerebral reactivity and in emotional memory, together with alexithymia traits, were reported. According to this evidence, emotional abilities should be included in the clinical assessment and therapeutic interventions.
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Tahedl M, Li Hi Shing S, Finegan E, Chipika RH, Lope J, Hardiman O, Bede P. Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs. Neurobiol Aging 2021; 109:78-87. [PMID: 34656922 DOI: 10.1016/j.neurobiolaging.2021.04.031] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/29/2021] [Accepted: 04/13/2021] [Indexed: 01/18/2023]
Abstract
Motor neuron diseases encompass a divergent group of conditions with considerable differences in clinical manifestations, survival, and genetic vulnerability. One of the key aspects of clinical heterogeneity is the preferential involvement of upper (UMN) and lower motor neurons (LMN). While longitudinal imaging patters are relatively well characterized in ALS, progressive cortical changes in UMN,- and LMN-predominant conditions are seldom evaluated. Accordingly, the objective of this study is the juxtaposition of longitudinal trajectories in 3 motor neuron phenotypes; a UMN-predominant syndrome (PLS), a mixed UMN-LMN condition (ALS), and a lower motor neuron condition (poliomyelitis survivors). A standardized imaging protocol was implemented in a prospective, multi-timepoint longitudinal study with a uniform follow-up interval of 4 months. Forty-five poliomyelitis survivors, 61 patients with amyotrophic lateral sclerosis (ALS), and 23 patients with primary lateral sclerosis (PLS) were included. Cortical thickness alterations were evaluated in a dual analysis pipeline, using standard cortical thickness analyses, and a z-score-based individualized approach. Our results indicate that PLS patients exhibit rapidly progressive cortical thinning primarily in motor regions; ALS patients show cortical atrophy in both motor and extra-motor regions, while poliomyelitis survivors exhibit cortical thickness gains in a number of cerebral regions. Our findings suggest that dynamic cortical changes in motor neuron diseases may depend on relative UMN and/or LMN involvement, and increased cortical thickness in LMN-predominant conditions may represent compensatory, adaptive processes.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Department of Psychiatry and Psychotherapy and Institute for Psychology, University of Regensburg, 93053 Regensburg, Germany
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France.
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Ratti E, Domoto-Reilly K, Caso C, Murphy A, Brickhouse M, Hochberg D, Makris N, Cudkowicz ME, Dickerson BC. Regional prefrontal cortical atrophy predicts specific cognitive-behavioral symptoms in ALS-FTD. Brain Imaging Behav 2021; 15:2540-2551. [PMID: 33587281 PMCID: PMC8862734 DOI: 10.1007/s11682-021-00456-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/14/2021] [Indexed: 01/01/2023]
Abstract
Amyotrophic Lateral Sclerosis-Frontotemporal Dementia (ALS-FTD) may present typical behavioral variant FTD symptoms. This study aims to determine whether profile and severity of cognitive-behavioral symptoms in ALS/ALS-FTD are predicted by regional cortical atrophy. The hypothesis is that executive dysfunction can be predicted by dorsolateral prefrontal cortical (dlPFC) atrophy, apathy by dorsomedial PFC (dmPFC) and anterior cingulate cortical (ACC) atrophy, disinhibition by orbitofrontal cortical (OFC) atrophy. 3.0 Tesla MRI scans were acquired from 22 people with ALS or ALS-FTD. Quantitative cortical thickness analysis was performed with FreeSurfer. A priori-defined regions of interest (ROI) were used to measure cortical thickness in each participant and calculate magnitude of atrophy in comparison to 115 healthy controls. Spearman correlations were used to evaluate associations between frontal ROI cortical thickness and cognitive-behavioral symptoms, measured by Neuropsychiatric Inventory Questionnaire (NPI-Q) and Clinical Dementia Rating (CDR) scale. ALS-FTD participants exhibited variable degrees of apathy (NPI-Q/apathy: 1.6 ± 1.2), disinhibition (NPI-Q/disinhibition: 1.2 ± 1.2), executive dysfunction (CDR/judgment-problem solving: 1.7 ± 0.8). Within the ALS-FTD group, executive dysfunction correlated with dlPFC atrophy (ρ:-0.65;p < 0.05); similar trends were seen for apathy with ACC (ρ:-0.53;p < 0.10) and dmPFC (ρ:-0.47;p < 0.10) atrophy, for disinhibition with OFC atrophy (ρ:-0.51;p < 0.10). Compared to people with ALS, those with ALS-FTD showed more diffuse atrophy involving precentral gyrus, prefrontal, temporal regions. Profile and severity of cognitive-behavioral symptoms in ALS-FTD are predicted by regional prefrontal atrophy. These findings are consistent with established brain-behavior models and support the role of quantitative MRI in diagnosis, management, counseling, monitoring and prognostication for a neurodegenerative disorder with diverse phenotypes.
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Affiliation(s)
- Elena Ratti
- Neurological Clinical Research Institute (NCRI), Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, MA, 02114, USA.
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
- Amyotrophic Lateral Sclerosis Multidisciplinary Clinic, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
- Massachusetts Alzheimer's Disease Research Center (ADRC), 149 13th Street, Charlestown, MA, 02129, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Charlestown, MA, 02129, USA.
- Biogen, 300 Binney Street, Cambridge, MA, 02142, USA.
| | - Kimiko Domoto-Reilly
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- Massachusetts Alzheimer's Disease Research Center (ADRC), 149 13th Street, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Charlestown, MA, 02129, USA
- Department of Neurology, University of Washington Medical Center, 1959 NE Pacific Street, Seattle, WA, 98195, USA
| | - Christina Caso
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- Department of Neurology, University of Washington Medical Center, 1959 NE Pacific Street, Seattle, WA, 98195, USA
| | - Alyssa Murphy
- Neurological Clinical Research Institute (NCRI), Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, MA, 02114, USA
- Amyotrophic Lateral Sclerosis Multidisciplinary Clinic, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Daisy Hochberg
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- Speech and Language Pathology, Massachusetts General Hospital, 275 Cambridge Street, Boston, MA, 02114, USA
| | - Nikos Makris
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Merit E Cudkowicz
- Neurological Clinical Research Institute (NCRI), Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, MA, 02114, USA
- Amyotrophic Lateral Sclerosis Multidisciplinary Clinic, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- Massachusetts Alzheimer's Disease Research Center (ADRC), 149 13th Street, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Charlestown, MA, 02129, USA
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Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features. J Neurol 2021; 269:2440-2452. [PMID: 34585269 PMCID: PMC9021106 DOI: 10.1007/s00415-021-10801-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 12/26/2022]
Abstract
The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical neurology centre on the accurate classification of individual patients into clinically relevant diagnostic, prognostic and phenotypic categories. Similarly, pharmaceutical trials require the precision stratification of participants based on quantitative measures. A single-centre study was conducted with a uniform imaging protocol to test the accuracy of an artificial neural network classification scheme on a cohort of 378 participants composed of patients with ALS, healthy subjects and disease controls. A comprehensive panel of cerebral volumetric measures, cortical indices and white matter integrity values were systematically retrieved from each participant and fed into a multilayer perceptron model. Data were partitioned into training and testing and receiver-operating characteristic curves were generated for the three study-groups. Area under the curve values were 0.930 for patients with ALS, 0.958 for disease controls, and 0.931 for healthy controls relying on all input imaging variables. The ranking of variables by classification importance revealed that white matter metrics were far more relevant than grey matter indices to classify single subjects. The model was further tested in a subset of patients scanned within 6 weeks of their diagnosis and an AUC of 0.915 was achieved. Our study indicates that individual subjects may be accurately categorised into diagnostic groups in an observer-independent classification framework based on multiparametric, spatially registered radiology data. The development and validation of viable computational models to interpret single imaging datasets are urgently required for a variety of clinical and clinical trial applications.
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McKenna MC, Corcia P, Couratier P, Siah WF, Pradat PF, Bede P. Frontotemporal Pathology in Motor Neuron Disease Phenotypes: Insights From Neuroimaging. Front Neurol 2021; 12:723450. [PMID: 34484106 PMCID: PMC8415268 DOI: 10.3389/fneur.2021.723450] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/22/2021] [Indexed: 01/18/2023] Open
Abstract
Frontotemporal involvement has been extensively investigated in amyotrophic lateral sclerosis (ALS) but remains relatively poorly characterized in other motor neuron disease (MND) phenotypes such as primary lateral sclerosis (PLS), progressive muscular atrophy (PMA), spinal muscular atrophy (SMA), spinal bulbar muscular atrophy (SBMA), post poliomyelitis syndrome (PPS), and hereditary spastic paraplegia (HSP). This review focuses on insights from structural, metabolic, and functional neuroimaging studies that have advanced our understanding of extra-motor disease burden in these phenotypes. The imaging literature is limited in the majority of these conditions and frontotemporal involvement has been primarily evaluated by neuropsychology and post mortem studies. Existing imaging studies reveal that frontotemporal degeneration can be readily detected in ALS and PLS, varying degree of frontotemporal pathology may be captured in PMA, SBMA, and HSP, SMA exhibits cerebral involvement without regional predilection, and there is limited evidence for cerebral changes in PPS. Our review confirms the heterogeneity extra-motor pathology across the spectrum of MNDs and highlights the role of neuroimaging in characterizing anatomical patterns of disease burden in vivo. Despite the contribution of neuroimaging to MND research, sample size limitations, inclusion bias, attrition rates in longitudinal studies, and methodological constraints need to be carefully considered. Frontotemporal involvement is a quintessential clinical facet of MND which has important implications for screening practices, individualized management strategies, participation in clinical trials, caregiver burden, and resource allocation. The academic relevance of imaging frontotemporal pathology in MND spans from the identification of genetic variants, through the ascertainment of presymptomatic changes to the design of future epidemiology studies.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Philippe Corcia
- Department of Neurology-Neurophysiology, CRMR ALS, Tours, France.,UMR 1253 iBrain, University of Tours, Tours, France.,LITORALS, Federation of ALS Centres: Tours-Limoges, Limoges, France
| | - Philippe Couratier
- LITORALS, Federation of ALS Centres: Tours-Limoges, Limoges, France.,ALS Centre, Limoges University Hospital (CHU de Limoges), Limoges, France
| | - We Fong Siah
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland.,Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
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Custodio N, Montesinos R, Cruzado L, Herrera-Perez E, Failoc-Rojas VE, Pintado-Caipa M, Seminario G W, Cuenca J, Gamboa C, Diaz MM. Social Cognition and Behavioral Assessments Improve the Diagnosis of Behavioral Variant of Frontotemporal Dementia in Older Peruvians With Low Educational Levels. Front Neurol 2021; 12:704109. [PMID: 34552551 PMCID: PMC8450322 DOI: 10.3389/fneur.2021.704109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The behavioral variant of frontotemporal dementia (bvFTD), characterized by early behavioral abnormalities and late memory impairment, is a neurodegenerative disorder with a detrimental impact on patients and their caregivers. bvFTD is often difficult to distinguish from other neurodegenerative diseases, such as Alzheimer's disease (AD), using brief cognitive tests. Combining brief socio-cognitive and behavioral evaluations with standard cognitive testing could better discriminate bvFTD from AD patients. We sought to evaluate the diagnostic accuracy of brief socio-cognitive tests that may differentiate bvFTD and AD patients with low educational levels. Methods: A prospective study was performed on 51 individuals over the age of 50 with low educational levels, with bvFTD or AD diagnosed using published criteria, and who were receiving neurological care at a multidisciplinary neurology clinic in Lima, Peru, between July 2017 and December 2020. All patients had a comprehensive neurological evaluation, including a full neurocognitive battery and brief tests of cognition (Addenbrooke's Cognitive Examination version III, ACE-III), social cognition (Mini-social Cognition and Emotional Assessment, Mini-SEA), and behavioral assessments (Frontal Behavioral Inventory, FBI; Interpersonal Reactivity Index-Emphatic Concern, IRI-EC; IRI-Perspective Taking, IRI-PT; and Self-Monitoring Scale-revised version, r-SMS). Receiver operating characteristic (ROC) analysis to calculate the area under the curve (AUC) was performed to compare the brief screening tests individually and combined to the gold standard of bvFTD and AD diagnoses. Results: The AD group was significantly older than the bvFTD group (p < 0.001). An analysis of the discriminatory ability of the ACE-III to distinguish between patients with AD and bvFTD (AUC = 0.85) and the INECO Frontal Screening (IFS; AUC = 0.78) shows that the former has greater discriminatory ability. Social and behavioral cognition tasks were able to appropriately discriminate bvFTD from AD. The Mini-SEA had high sensitivity and high moderate specificity (83%) for discriminating bvFTD from AD, which increased when combined with the brief screening tests ACE-III and IFS. The FBI was ideal with high sensitivity (83%), as well as the IRI-EC and IRI-PT that also were adequate for distinguishing bvFTD from AD. Conclusions: Our study supports the integration of socio-behavioral measures to the standard global cognitive and social cognition measures utilized for screening for bvFTD in a population with low levels of education.
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Affiliation(s)
- Nilton Custodio
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Rosa Montesinos
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Lizardo Cruzado
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Instituto Nacional de Salud Mental “Honorio Delgado—Hideyo Noguchi”, Lima, Peru
- Grupo de investigación Molident, Universidad San Ignacio de Loyola, Lima, Peru
| | - Eder Herrera-Perez
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Virgilio E. Failoc-Rojas
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - Maritza Pintado-Caipa
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Atlantic Fellow, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Wendy Seminario G
- Servicio de Neurología, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
| | - José Cuenca
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
- Carrera de Psicología, Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Peru
| | - Carlos Gamboa
- Unidad de Diagnóstico de Deterioro Cognitivo y Prevención De Demencia, Instituto Peruano de Neurociencias, Lince, Peru
- Unidad de Investigación, Instituto Peruano de Neurociencias, Lince, Peru
- Servicio de Neuropsicología, Instituto Peruano de Neurociencias, Lima, Peru
| | - Monica M. Diaz
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru
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Tahedl M, Murad A, Lope J, Hardiman O, Bede P. Evaluation and categorisation of individual patients based on white matter profiles: Single-patient diffusion data interpretation in neurodegeneration. J Neurol Sci 2021; 428:117584. [PMID: 34315000 DOI: 10.1016/j.jns.2021.117584] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 07/13/2021] [Accepted: 07/19/2021] [Indexed: 12/18/2022]
Abstract
The majority of radiology studies in neurodegenerative conditions infer group-level imaging traits from group comparisons. While this strategy is helpful to define phenotype-specific imaging signatures for academic use, the meaningful interpretation of single scans of individual subjects is more important in everyday clinical practice. Accordingly, we present a computational method to evaluate individual subject diffusion tensor data to highlight white matter integrity alterations. Fifty white matter tracts were quantitatively evaluated in 132 patients with amyotrophic lateral sclerosis (ALS) with respect to normative values from 100 healthy subjects. Fractional anisotropy and radial diffusivity alterations were assessed individually in each patient. The approach was validated against standard tract-based spatial statistics and further scrutinised by the assessment of 78 additional data sets with a blinded diagnosis. Our z-score-based approach readily detected white matter degeneration in individual ALS patients and helped to categorise single subjects with a 'blinded diagnosis' as likely 'ALS' or 'control'. The group-level inferences from the z-score-based approach were analogous to the standard TBSS output maps. The benefit of the z-score-based strategy is that it enables the interpretation of single DTI datasets as well as the comparison of study groups. Outputs can be summarised either visually by highlighting the affected tracts, or, listing the affected tracts in a text file with reference to normative data, making it particularly useful for clinical applications. While individual diffusion data cannot be visually appraised, our approach provides a viable framework for single-subject imaging data interpretation.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland; Department of Psychiatry and Psychotherapy, Institute for Psychology, University of Regensburg, Germany
| | - Aizuri Murad
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Trinity College Dublin, Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France.
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Bede P, Pradat PF, Lope J, Vourc'h P, Blasco H, Corcia P. Primary Lateral Sclerosis: Clinical, radiological and molecular features. Rev Neurol (Paris) 2021; 178:196-205. [PMID: 34243936 DOI: 10.1016/j.neurol.2021.04.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/23/2021] [Accepted: 04/29/2021] [Indexed: 10/20/2022]
Abstract
Primary Lateral Sclerosis (PLS) is an uncommon motor neuron disorder. Despite the well-recognisable constellation of clinical manifestations, the initial diagnosis can be challenging and therapeutic options are currently limited. There have been no recent clinical trials of disease-modifying therapies dedicated to this patient cohort and awareness of recent research developments is limited. The recent consensus diagnostic criteria introduced the category 'probable' PLS which is likely to curtail the diagnostic journey of patients. Extra-motor clinical manifestations are increasingly recognised, challenging the view of PLS as a 'pure' upper motor neuron condition. The post mortem literature of PLS has been expanded by seminal TDP-43 reports and recent PLS studies increasingly avail of meticulous genetic profiling. Research in PLS has gained unprecedented momentum in recent years generating novel academic insights, which may have important clinical ramifications.
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Affiliation(s)
- P Bede
- Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France; Computational Neuroimaging Group, Trinity College Dublin, Ireland.
| | - P-F Pradat
- Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
| | - J Lope
- Computational Neuroimaging Group, Trinity College Dublin, Ireland
| | - P Vourc'h
- Department of Biochemistry and Molecular Biology, CHRU Bretonneau, Tours, France; UMR 1253 iBrain, Université de Tours, Inserm, France
| | - H Blasco
- Department of Biochemistry and Molecular Biology, CHRU Bretonneau, Tours, France; UMR 1253 iBrain, Université de Tours, Inserm, France
| | - P Corcia
- UMR 1253 iBrain, Université de Tours, Inserm, France; ALS and MND centre (FILSLAN), University of Tours, "iBrain", inserm, France
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41
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McKenna MC, Chipika RH, Li Hi Shing S, Christidi F, Lope J, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P. Infratentorial pathology in frontotemporal dementia: cerebellar grey and white matter alterations in FTD phenotypes. J Neurol 2021; 268:4687-4697. [PMID: 33983551 PMCID: PMC8563547 DOI: 10.1007/s00415-021-10575-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022]
Abstract
The contribution of cerebellar pathology to cognitive and behavioural manifestations is increasingly recognised, but the cerebellar profiles of FTD phenotypes are relatively poorly characterised. A prospective, single-centre imaging study has been undertaken with a high-resolution structural and diffusion tensor protocol to systematically evaluate cerebellar grey and white matter alterations in behavioural-variant FTD(bvFTD), non-fluent variant primary progressive aphasia(nfvPPA), semantic-variant primary progressive aphasia(svPPA), C9orf72-positive ALS-FTD(C9 + ALSFTD) and C9orf72-negative ALS-FTD(C9-ALSFTD). Cerebellar cortical thickness and complementary morphometric analyses were carried out to appraise atrophy patterns controlling for demographic variables. White matter integrity was assessed in a study-specific white matter skeleton, evaluating three diffusivity metrics: fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD). Significant cortical thickness reductions were identified in: lobule VII and crus I in bvFTD; lobule VI VII, crus I and II in nfvPPA; and lobule VII, crus I and II in svPPA; lobule IV, VI, VII and Crus I and II in C9 + ALSFTD. Morphometry revealed volume reductions in lobule V in all groups; in addition to lobule VIII in C9 + ALSFTD; lobule VI, VIII and vermis in C9-ALSFTD; lobule V, VII and vermis in bvFTD; and lobule V, VI, VIII and vermis in nfvPPA. Widespread white matter alterations were demonstrated by significant fractional anisotropy, axial diffusivity and radial diffusivity changes in each FTD phenotype that were more focal in those with C9 + ALSFTD and svPPA. Our findings indicate that FTD subtypes are associated with phenotype-specific cerebellar signatures with the selective involvement of specific lobules instead of global cerebellar atrophy.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland
| | | | - Peter Bede
- Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin, Peter Bede, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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42
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Carroll GA, Montrose VT, Burke T. Correlates of Social Cognition and Psychopathic Traits in a Community-Based Sample of Males. Front Psychol 2021; 12:656299. [PMID: 33995215 PMCID: PMC8120153 DOI: 10.3389/fpsyg.2021.656299] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
Social cognition is the ability to identify, understand, and interpret mental states and emotions. Psychopathic traits are typically described in two ways; Primary: shallow affect, emotional detachment, and relationship difficulties, and Secondary Psychopathic Traits: antisocial traits, impulsiveness, and emotional dysregulation. People with high psychopathic traits tend to perform lower on measures of social cognition. This study investigated the relationship of social cognition (mentalising) to primary and secondary psychopathic traits in a non-clinical sample, and investigated the psychometric properties of the Reading the Mind in the Eyes Test (RMET) Short Forms (A and B). A community-based male sample (N = 1,000; age range 18-78) was recruited through an online platform. Psychopathic traits were measured using Levenson, Kiehl, and Fitzpatrick's Self-Report Psychopathy Scale, and stratified into Primary and Secondary Psychopathic traits. Secondary validation of the RMET Short Forms was completed investigating scale reliability, and validity. Findings suggest excellent psychometrics in a large community cohort for the RMET Short Forms (A and B), with significant negative correlations on social cognitive performance and high self-report psychopathy. The item valence within the social cognitive measure (positive, negative, and neutral affect stimuli) was also examined, and correlated significantly with both Primary and Secondary Psychopathic traits. This study provides further validation of the RMET Short Forms (A and B), and adds to the literature on the scale by investigating performance on short-form specific valence. This study further suggests that in a non-clinical community sample of males, that higher psychopathic traits correlated significantly, and negatively, with social cognitive performance.
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Affiliation(s)
- Grace A Carroll
- School of Psychology, Queens University Belfast, Belfast, United Kingdom
| | | | - Tom Burke
- School of Psychology, University College Dublin, Dublin, Ireland.,School of Psychology, National University of Ireland Galway, Galway, Ireland
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43
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Extra-motor cerebral changes and manifestations in primary lateral sclerosis. Brain Imaging Behav 2021; 15:2283-2296. [PMID: 33409820 DOI: 10.1007/s11682-020-00421-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2020] [Indexed: 12/22/2022]
Abstract
Primary lateral sclerosis (PLS) is classically considered a 'pure' upper motor neuron disorder. Motor cortex atrophy and pyramidal tract degeneration are thought to be pathognomonic of PLS, but extra-motor cerebral changes are poorly characterized. In a prospective neuroimaging study, forty PLS patients were systematically evaluated with a standardised imaging, genetic and clinical protocol. Patients were screened for ALS and HSP associated mutations, as well as C9orf72 hexanucleotide repeats. Clinical assessment included composite reflex scores, spasticity scales, functional rating scales, and screening for cognitive and behavioural deficits. The neuroimaging protocol evaluated cortical atrophy patterns, subcortical grey matter changes and white matter alterations in whole-brain and region-of-interest analyses. PLS patients tested negative for known ALS- and HSP-associated mutations and C9orf72 repeat expansions. Voxel-wise analyses revealed anterior cingulate, dorsolateral prefrontal, insular, opercular, orbitofrontal and bilateral mesial temporal grey matter changes and white matter alterations in the fornix, brainstem, temporal lobes, and cerebellum. Significant thalamus, caudate, hippocampus, putamen and accumbens nucleus volume reductions were also identified. Extra-motor clinical manifestations were dominated by verbal fluency deficits, language deficits, apathy and pseudobulbar affect. Our clinical and radiological evaluation confirms considerable extra-motor changes in a population-based cohort of PLS patients. Our data suggest that PLS should no longer be considered a neurodegenerative disorder selectively affecting the pyramidal system. PLS is associated with widespread extra-motor changes and manifestations which should be carefully considered in the multidisciplinary management of this low-incidence condition.
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44
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Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use. J Neurol 2021; 268:1913-1926. [PMID: 33399966 DOI: 10.1007/s00415-020-10368-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The majority of imaging studies in ALS infer group-level imaging signatures from group comparisons, as opposed to estimating disease burden in individual patients. In a condition with considerable clinical heterogeneity, the characterisation of individual patterns of pathology is hugely relevant. In this study, we evaluate a strategy to track progressive cortical involvement in single patients by using subject-specific reference cohorts. METHODS We have interrogated a multi-timepoint longitudinal dataset of 61 ALS patients to demonstrate the utility of estimating cortical disease burden and the expansion of cerebral atrophy over time. We contrast our strategy to the gold-standard approach to gauge the advantages and drawbacks of our method. We modelled the evolution of cortical integrity in a conditional growth model, in which we accounted for age, gender, disability, symptom duration, education and handedness. We hypothesised that the variance associated with demographic variables will be successfully eliminated in our approach. RESULTS In our model, the only covariate which modulated the expansion of atrophy was motor disability as measured by the ALSFRS-r (t(153) = - 2.533, p = 0.0123). Using the standard approach, age also significantly influenced progression of CT change (t(153) = - 2.151, p = 0.033) demonstrating the validity and potential clinical utility of our approach. CONCLUSION Our strategy of estimating the extent of cortical atrophy in individual patients with ALS successfully corrects for demographic factors and captures relevant cortical changes associated with clinical disability. Our approach provides a framework to interpret single T1-weighted images in ALS and offers an opportunity to track cortical propagation patterns both at individual subject level and at cohort level.
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45
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Li Hi Shing S, McKenna MC, Siah WF, Chipika RH, Hardiman O, Bede P. The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development. Brain Imaging Behav 2021; 15:2693-2719. [PMID: 33398779 DOI: 10.1007/s11682-020-00429-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2020] [Indexed: 01/14/2023]
Abstract
While C9orf72-specific imaging signatures have been proposed by both ALS and FTD research groups and considerable presymptomatic alterations have also been confirmed in young mutation carriers, considerable inconsistencies exist in the literature. Accordingly, a systematic review of C9orf72-imaging studies has been performed to identify consensus findings, stereotyped shortcomings, and unique contributions to outline future directions. A formal literature review was conducted according to the STROBE guidelines. All identified papers were individually reviewed for sample size, choice of controls, study design, imaging modalities, statistical models, clinical profiling, and identified genotype-associated pathological patterns. A total of 74 imaging papers were systematically reviewed. ALS patients with GGGGCC repeat expansions exhibit relatively limited motor cortex involvement and widespread extra-motor pathology. C9orf72 positive FTD patients often show preferential posterior involvement. Reports of thalamic involvement are relatively consistent across the various phenotypes. Asymptomatic hexanucleotide repeat carriers often exhibit structural and functional changes decades prior to symptom onset. Common shortcomings included sample size limitations, lack of disease-controls, limited clinical profiling, lack of genetic testing in healthy controls, and absence of post mortem validation. There is a striking paucity of longitudinal studies and existing presymptomatic studies have not evaluated the predictive value of radiological changes with regard to age of onset and phenoconversion. With the advent of antisense oligonucleotide therapies, the meticulous characterisation of C9orf72-associated changes has gained practical relevance. Neuroimaging offers non-invasive biomarkers for future clinical trials, presymptomatic ascertainment, diagnostic and prognostic applications.
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Affiliation(s)
- Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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Taule T, Søvik M, Lein RK, Wehling E, Aßmus J, Rekand T. Psychometric Properties of Cognitive Assessment in Amyotrophic Lateral Sclerosis: A Systematic Review. PATIENT-RELATED OUTCOME MEASURES 2020; 11:181-194. [PMID: 33061727 PMCID: PMC7519807 DOI: 10.2147/prom.s256828] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 08/04/2020] [Indexed: 12/18/2022]
Abstract
Purpose We aimed to list all tests used to assess cognitive change in patients with amyotrophic lateral sclerosis (ALS) and to provide a descriptive synthesis of the psychometric properties of tests that were evaluated in a population of ALS patients. Materials and Methods The protocol is registered in PROSPERO (ID: CRD42017055603). We systematically search for literature in 11 databases. Full-text articles, in any language, with original research were included. All included articles were scrutinised by two independent authors. Disagreement was resolved by consensus. The framework of Lezak informed conceptualises of the tests identified. To evaluate methodological quality, we used the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN). Data were synthesised using criteria proposed by the Cochrane Back Review Group. Results Of 319 included articles, 46 articles reported information on the psychometric properties of cognitive tests used in patients with ALS. We found that the highest level of evidence was supported for the Reading the Mind in the Eye Test (RME), Addenbrooke’s Cognitive Evaluation (ACE) and Frontal Assessment Battery (FAB). Moderate level of evidence was found for the screening tests; Edinburgh Cognitive and Behavioural ALS Screen (ECAS) and the Montreal Cognitive Assessment (MoCA). Conclusion The screening test, ECAS and the social cognition test, RME, may have some advantages over other tests that have been used for assessing cognitive change in ALS patients. Recommendations of ALS-specific tests with sound psychometric properties are urgently needed.
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Affiliation(s)
- Tina Taule
- Department of Occupational Therapy, Haukeland University Hospital (HUH), Bergen, Norway
| | - Margaret Søvik
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | | | - Eike Wehling
- Department of Physical Medicine and Rehabilitation, HUH, Bergen, Norway.,Department of Biological and Medical Psychology, UiB, Bergen, Norway
| | - Jörg Aßmus
- Centre for Clinical Research, HUH, Bergen, Norway
| | - Tiina Rekand
- Department of Neurology, HUH, Bergen, Norway.,Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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47
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Abidi M, Marco G, Grami F, Termoz N, Couillandre A, Querin G, Bede P, Pradat P. Neural Correlates of Motor Imagery of Gait in Amyotrophic Lateral Sclerosis. J Magn Reson Imaging 2020; 53:223-233. [DOI: 10.1002/jmri.27335] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 08/02/2020] [Accepted: 08/03/2020] [Indexed: 12/26/2022] Open
Affiliation(s)
- Malek Abidi
- LINP2‐AAPS Laboratory, UPL Paris Nanterre University Nanterre France
| | - Giovanni Marco
- LINP2‐AAPS Laboratory, UPL Paris Nanterre University Nanterre France
- COMUE Paris Lumières University Paris France
| | - Fatma Grami
- LINP2‐AAPS Laboratory, UPL Paris Nanterre University Nanterre France
| | - Nicolas Termoz
- LINP2‐AAPS Laboratory, UPL Paris Nanterre University Nanterre France
- COMUE Paris Lumières University Paris France
| | - Annabelle Couillandre
- LINP2‐AAPS Laboratory, UPL Paris Nanterre University Nanterre France
- COMUE Paris Lumières University Paris France
| | - Giorgia Querin
- Department of Neurology Pitié‐Salpêtrière University Hospital Paris France
- Biomedical Imaging Laboratory Sorbonne University, CNRS, INSERM Paris France
| | - Peter Bede
- Department of Neurology Pitié‐Salpêtrière University Hospital Paris France
- Biomedical Imaging Laboratory Sorbonne University, CNRS, INSERM Paris France
- Computational Neuroimaging Group Trinity College Dublin Dublin Ireland
| | - Pierre‐Francois Pradat
- Department of Neurology Pitié‐Salpêtrière University Hospital Paris France
- Biomedical Imaging Laboratory Sorbonne University, CNRS, INSERM Paris France
- Biomedical Sciences Research Institute, Northern Ireland Centre for Stratified Medicine, Ulster University Londonderry UK
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48
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Pender N, Pinto-Grau M, Hardiman O. Cognitive and behavioural impairment in amyotrophic lateral sclerosis. Curr Opin Neurol 2020; 33:649-654. [PMID: 32833751 DOI: 10.1097/wco.0000000000000862] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The current review provides an up to date overview of the nature and progression of the cognitive and behavioural impairment in amyotrophic lateral sclerosis (ALS). Understanding these symptoms has implications for the management of the disease and the design of clinical trials, in addition to the support of patient and caregiver regarding mental capacity and end of life decision-making. RECENT FINDINGS Cognitive and behavioural change in ALS are best characterized as the consequence of extensive network dysfunction. 35-45% of ALS patients present with mild-moderate cognitive impairment and comorbid dementia occurs in approximately 14% of patients, the majority of these meeting diagnostic criteria for frontotemporal dementia (FTD). Cognitive change in ALS manifests most commonly as executive dysfunction and language impairment. Behavioural change in the form of apathy, disinhibition, loss of sympathy and empathy, stereotyped behaviours and dietary changes occur. SUMMARY Cognitive and behavioural impairment is an important feature of ALS, and reflects broad network dysfunction of frontostriatal and frontotemporal systems. Cognition and behaviour should be assessed early in the diagnostic process, and data driven approaches should be developed to enable reliable quantitative outcome assessment suitable for clinical trials.
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Affiliation(s)
- Niall Pender
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin.,Department of Psychology
| | - Marta Pinto-Grau
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin.,Department of Psychology
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin.,Department of Neurology, Beaumont Hospital, Dublin, Ireland
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49
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Chipika RH, Christidi F, Finegan E, Li Hi Shing S, McKenna MC, Chang KM, Karavasilis E, Doherty MA, Hengeveld JC, Vajda A, Pender N, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Bede P. Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis. J Neurol Sci 2020; 417:117039. [PMID: 32713609 DOI: 10.1016/j.jns.2020.117039] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/19/2020] [Accepted: 07/13/2020] [Indexed: 12/26/2022]
Abstract
Temporal lobe studies in motor neuron disease overwhelmingly focus on white matter alterations and cortical grey matter atrophy. Reports on amygdala involvement are conflicting and the amygdala is typically evaluated as single structure despite consisting of several functionally and cytologically distinct nuclei. A prospective, single-centre, neuroimaging study was undertaken to comprehensively characterise amygdala pathology in 100 genetically-stratified ALS patients, 33 patients with PLS and 117 healthy controls. The amygdala was segmented into groups of nuclei using a Bayesian parcellation algorithm based on a probabilistic atlas and shape deformations were additionally assessed by vertex analyses. The accessory basal nucleus (p = .021) and the cortical nucleus (p = .022) showed significant volume reductions in C9orf72 negative ALS patients compared to controls. The lateral nucleus (p = .043) and the cortico-amygdaloid transition (p = .024) were preferentially affected in C9orf72 hexanucleotide carriers. A trend of total volume reduction was identified in C9orf72 positive ALS patients (p = .055) which was also captured in inferior-medial shape deformations on vertex analyses. Our findings highlight that the amygdala is affected in ALS and our study demonstrates the selective involvement of specific nuclei as opposed to global atrophy. The genotype-specific patterns of amygdala involvement identified by this study are consistent with the growing literature of extra-motor clinical features. Mesial temporal lobe pathology in ALS is not limited to hippocampal pathology but, as a key hub of the limbic system, the amygdala is also affected in ALS.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Department of Neurology, Aeginition Hospital, University of Athens, Greece
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Efstratios Karavasilis
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; 2nd Department of Radiology, Attikon University Hospital, University of Athens, Athens, Greece
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Niall Pender
- Department of psychology, Beaumont Hospital Dublin, Ireland
| | - Siobhan Hutchinson
- Department of Neurology, St James's Hospital, James's St, Ushers, Dublin 8 D08 NHY1, Ireland
| | - Colette Donaghy
- Department of Neurology, Belfast, Western Health & Social Care Trust, UK
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland.
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50
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Burke T, Pinto-Grau M, Costello E, Peelo C, Lonergan K, Heverin M, Hardiman O, Pender N. The reading the mind in the eyes test short form (A & B): validation and outcomes in an amyotrophic lateral sclerosis cohort. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:380-388. [PMID: 32501122 DOI: 10.1080/21678421.2020.1772824] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: Deficits in social cognition are part of the cognitive phenotype of amyotrophic lateral sclerosis (ALS). This study investigated the psychometric properties and test-retest reliability of two short-form versions of the Reading the Mind in the Eyes Test. Method: Patients with ALS (n = 50), alongside age and IQ matched controls (n = 50) were recruited. The Reading the Mind in the Eyes Test (RMET) was apportioned according to previously published psychometric properties yielding two short forms. The internal consistency, test-retest reliability, item difficulty, and discrimination coefficient were computed to determine the utility of the short forms. Two one-sided t-test (TOST) assessed equivalency, and a ROC curve analysis determined a cutoff for impairment. Results: Cronbach's Alpha > 0.7 was observed for the RMET Short Form A and RMET Short Form B, indicating adequate internal consistency. Both RMET Short Forms had excellent psychometric properties when discriminating between ALS patients who performed well, compared to those who did not, with an overall medium difficulty coefficient observed. The TOST found the short forms to be equivalent. Conclusion: Social cognition is an important cognitive construct in ALS, as is its measurement. This study contributes not only to the psychometric knowledge of this measure, but also to the usability, efficacy, reliability, and repeatability of two short forms.
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Affiliation(s)
- Tom Burke
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Marta Pinto-Grau
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Emmet Costello
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Colm Peelo
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Katie Lonergan
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland.,Department of Neurology, Beaumont Hospital, Dublin 9, Ireland
| | - Niall Pender
- Department of Psychology, Beaumont Hospital, Dublin 9, Ireland.,Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Dublin 2, Ireland.,Department of Psychology, Royal College of Surgeons in Ireland, Dublin 2, Ireland
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