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Huynh K, Georgiou-Karistianis N, Lampit A, Siddiqui MN, Stout JC, Jamadar SD. Computerized Cognitive Training Increases Gray Matter Volumes in Huntington's Disease: A Pilot Study. Mov Disord 2024. [PMID: 39120126 DOI: 10.1002/mds.29972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 07/19/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Affiliation(s)
- Katharine Huynh
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
| | - Nellie Georgiou-Karistianis
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Amit Lampit
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - M Navyaan Siddiqui
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
| | - Julie C Stout
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Sharna D Jamadar
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
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2
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Migliore S, Casella M, Tramontano C, Curcio G, Squitieri F. Virtual reality tolerability, sense of presence and usability in Huntington disease: a pilot study. Neurol Sci 2024:10.1007/s10072-024-07726-y. [PMID: 39103734 DOI: 10.1007/s10072-024-07726-y] [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: 06/01/2024] [Accepted: 08/02/2024] [Indexed: 08/07/2024]
Abstract
INTRODUCTION Several studies demonstrated the utility of immersive virtual reality (VR) as a complementary approach to conventional therapy for improving motor, psychological and cognitive impairment in some pathological conditions. Our pilot study aims to evaluate for the first time: 1) sense of presence, tolerability and usability of VR immersive experience in patients with early stages of Huntington disease (eHDp) compared to healthy controls (HC); 2) correlation between the use of technology/cybersickness and the variables of presence/usability; 3) correlation between clinical characteristics (genetic, motor, functional and cognitive) and VR's variables. METHOD We recruited 10 eHDp and 10 age, gender and education matched HC. Participants completed questionnaires about sense of presence, usability, tolerability and technology use profile. Subjects were exposed to different VR scenarios from a first-person perspective through a standalone VR headset. RESULTS Our results showed no significant statistical difference between eHDp and HC for the sense of presence (p=0.910), usability (p=0.744) and tolerability (p=0.730) during the VR experience. Familiarity with the use of technology was also comparable between groups (p=0.676). Regarding correlations in eHDp group, our results showed no correlations between use of technology/tolerability and the sense of presence/usability. Moreover, clinical characteristics of eHDp (genetic, motor, functional and cognitive scores) did not influence the sense of presence, tolerability and usability. CONCLUSION Our research presents preliminary evidence for the applicability of VR in eHDp. These results open up the possibility to explore future applications of this methodology in rehabilitation (i.e., cognitive training, physiotherapy), diagnosis and psychological support in Huntington disease patients.
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Affiliation(s)
- Simone Migliore
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Melissa Casella
- Centre for Neurological Rare Diseases (CMNR), Italian League for Research on Huntington (LIRH) Foundation, Rome, Italy
| | - Caterina Tramontano
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Giuseppe Curcio
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ferdinando Squitieri
- Centre for Neurological Rare Diseases (CMNR), Italian League for Research on Huntington (LIRH) Foundation, Rome, Italy
- Huntington and Rare Diseases Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy
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3
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Wu YK, Zhu LL, Li JT, Li Q, Dai YR, Li K, Mitchell PB, Si TM, Su YA. Striatal Functional Alterations Link to Distinct Symptomatology Across Mood States in Bipolar Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:777-785. [PMID: 38703823 DOI: 10.1016/j.bpsc.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/07/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND As a central hub in cognitive and emotional brain circuits, the striatum is considered likely to be integrally involved in the psychopathology of bipolar disorder (BD). However, it remains unclear how alterations in striatal function contribute to distinct symptomatology of BD during different mood states. METHODS Behavioral assessment (i.e., emotional symptoms and cognitive performance) and neuroimaging data were collected from 125 participants comprising 31 (hypo)manic, 31 depressive, and 31 euthymic patients with BD, and 32 healthy control participants. We compared the functional connectivity (FC) of striatal subregions across BD mood states with healthy control participants and then used a multivariate data-driven approach to explore dimensional associations between striatal connectivity and behavioral performance. Finally, we compared the FC and behavioral composite scores, which reflect the individual weighted representation of the associations, among different mood states. RESULTS Patients in all mood states exhibited increased FC between the bilateral ventral rostral putamen and ventrolateral thalamus. Bipolar (hypo)mania uniquely exhibited increased ventral rostral putamen connectivity and superior ventral striatum connectivity. One latent component was identified, whereby increased FCs of striatal subregions were associated with distinct psychopathological symptomatology (more manic symptoms, elevated positive mood, less depressive symptoms, and worse cognitive performance). Patients with bipolar (hypo)mania had the highest FC and behavioral composite scores while bipolar patients with depression had the lowest scores. CONCLUSIONS Our data demonstrated both trait features of BD and state features specific to bipolar (hypo)mania. The findings underscored the fundamental role of the striatum in the pathophysiological processes underlying specific symptomatology across all mood states.
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Affiliation(s)
- Yan-Kun Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lin-Lin Zhu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ji-Tao Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qian Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - You-Ran Dai
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ke Li
- PLA Strategic support Force Characteristic Medical Center, Beijing, China
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia; Black Dog Institute, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Tian-Mei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Yun-Ai Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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4
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Placzek M, Wilton DK, Weïwer M, Manter MA, Reid SE, Meyer CJ, Campbell AJ, Bajrami B, Bigot A, Bricault S, Fayet A, Frouin A, Gergits F, Gupta M, Jiang W, Melanson M, Romano CD, Riley MM, Wang JM, Wey HY, Wagner FF, Stevens B, Hooker JM. A Fast-Binding, Functionally Reversible, COX-2 Radiotracer for CNS PET Imaging. ACS CENTRAL SCIENCE 2024; 10:1105-1114. [PMID: 38799654 PMCID: PMC11117721 DOI: 10.1021/acscentsci.3c01564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/12/2024] [Accepted: 04/18/2024] [Indexed: 05/29/2024]
Abstract
Cyclooxygenase-2 (COX-2) is an enzyme that plays a pivotal role in peripheral inflammation and pain via the prostaglandin pathway. In the central nervous system (CNS), COX-2 is implicated in neurodegenerative and psychiatric disorders as a potential therapeutic target and biomarker. However, clinical studies with COX-2 have yielded inconsistent results, partly due to limited mechanistic understanding of how COX-2 activity relates to CNS pathology. Therefore, developing COX-2 positron emission tomography (PET) radiotracers for human neuroimaging is of interest. This study introduces [11C]BRD1158, which is a potent and uniquely fast-binding, selective COX-2 PET radiotracer. [11C]BRD1158 was developed by prioritizing potency at COX-2, isoform selectivity over COX-1, fast binding kinetics, and free fraction in the brain. Evaluated through in vivo PET neuroimaging in rodent models with human COX-2 overexpression, [11C]BRD1158 demonstrated high brain uptake, fast target-engagement, functional reversibility, and excellent specific binding, which is advantageous for human imaging applications. Lastly, post-mortem samples from Huntington's disease (HD) patients and preclinical HD mouse models showed that COX-2 levels were elevated specifically in disease-affected brain regions, primarily from increased expression in microglia. These findings indicate that COX-2 holds promise as a novel clinical marker of HD onset and progression, one of many potential applications of [11C]BRD1158 human PET.
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Affiliation(s)
- Michael
S. Placzek
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Daniel K. Wilton
- Department
of Neurology and F.M. Kirby Neurobiology Center, Boston Children’s
Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Michel Weïwer
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Mariah A. Manter
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
- Lurie
Center for Autism, 1
Maguire Road, Lexington, Massachusetts 02421, United States
- Massachusetts
General Hospital, 55
Fruit St., Boston, Massachusetts 02114, United States
| | - Sarah E. Reid
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Christopher J. Meyer
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Arthur J. Campbell
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Besnik Bajrami
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Antoine Bigot
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Sarah Bricault
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Agathe Fayet
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Arnaud Frouin
- Department
of Neurology and F.M. Kirby Neurobiology Center, Boston Children’s
Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Frederick Gergits
- Department
of Neurology and F.M. Kirby Neurobiology Center, Boston Children’s
Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Mehak Gupta
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Wei Jiang
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Michelle Melanson
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Chiara D. Romano
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Misha M. Riley
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Jessica M. Wang
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Hsiao-Ying Wey
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
| | - Florence F. Wagner
- Center
for the Development of Therapeutics, Broad
Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United States
| | - Beth Stevens
- Department
of Neurology and F.M. Kirby Neurobiology Center, Boston Children’s
Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
- Stanley
Center for Psychiatric Research, Broad Institute
of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, United
- Howard
Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Jacob M. Hooker
- Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, United States
- Lurie
Center for Autism, 1
Maguire Road, Lexington, Massachusetts 02421, United States
- Massachusetts
General Hospital, 55
Fruit St., Boston, Massachusetts 02114, United States
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5
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Jellinger KA. Mild cognitive impairment in Huntington's disease: challenges and outlooks. J Neural Transm (Vienna) 2024; 131:289-304. [PMID: 38265518 DOI: 10.1007/s00702-024-02744-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/14/2024] [Indexed: 01/25/2024]
Abstract
Although Huntington's disease (HD) has classically been viewed as an autosomal-dominant inherited neurodegenerative motor disorder, cognitive and/or behavioral changes are predominant and often an early manifestation of disease. About 40% of individuals in the presymptomatic period of HD meet the criteria for mild cognitive impairment, later progressing to dementia. The heterogenous spectrum of cognitive decline is characterized by deficits across multiple domains, particularly executive dysfunctions, but the underlying pathogenic mechanisms are still poorly understood. Investigating the pathophysiology of cognitive changes may give insight into important and early neurodegenerative events. Multimodal imaging revealed circuit-wide gray and white matter degenerative processes in several key brain regions, affecting prefronto-striatal/cortico-basal ganglia circuits and many other functional brain networks. Studies in transgenic animal models indicated early synaptic dysfunction, deficient neurotrophic transport and other molecular changes contributing to neuronal death. Synaptopathy within the cerebral cortex, striatum and hippocampus may be particularly important in mediating cognitive and neuropsychiatric manifestations of HD, although many other neuronal systems are involved. The interaction of mutant huntingtin protein (mHTT) with tau and its implication for cognitive impairment in HD is a matter of discussion. Further neuroimaging and neuropathological studies are warranted to better elucidate early pathophysiological mechanisms and to develop validated biomarkers to detect patients' cognitive status during the early stages of the condition significantly to implement effective preventing or management strategies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Migliore S, Bianco SD, Scocchia M, Maffi S, Busi LC, Ceccarelli C, Curcio G, Mazza T, Squitieri F. Prodromal Cognitive Changes as a Prognostic Indicator of Forthcoming Huntington's Disease Severity: A Retrospective Longitudinal Study. Mov Disord Clin Pract 2024; 11:363-372. [PMID: 38264920 PMCID: PMC10982604 DOI: 10.1002/mdc3.13975] [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: 06/06/2023] [Revised: 11/30/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Cognitive changes in Huntington's disease (HD) precede motor manifestations. ENROLL-HD platform includes four cognitive measures of information processing speed (IPS). Our group is eager to seek clinical markers in the life stage that is as close as possible to the age of onset (ie, the so called prodromal HD phase) because this is the best time for therapeutic interventions. OBJECTIVES Our study aimed to test whether cognitive scores in prodromal ENROLL-HD mutation carriers show the potential to predict the severity of motor and behavioral changes once HD became fully manifested. METHODS From the global ENROLL-HD cohort of 21,343 participants, we first selected a premanifest Cohort#1 (ie, subjects with Total Motor Score (TMS) <10 and Diagnostic Confidence Level (DCL) <4, N = 1.222). From this cohort, we then focused on a prodromal Cohort#2 of subjects who were ascertained to phenoconvert into manifest HD at follow-up visits (ie, subjects from 6 ≤ TMS≤9 and DCL <4 to TMS≥10 and DCL = 4, n = 206). RESULTS The main results of our study showed that low IPS before phenoconversion in Cohort#2 predicted the severity of motor and behavioral manifestations. By combining the four IPS cognitive measures (eg, the Categorical Verbal Fluency Test; Stroop Color Naming Test; Stroop Word Reading; Symbol Digit Modalities Test), we generated a Composite Cognition Score (CCS). The lower the CCS score the higher the TMS and the apathy scores in the same longitudinally followed-up patients after phenoconversion. CONCLUSIONS CCS might represent a clinical instrument to predict the prognosis of mutation carriers who are close to manifesting HD.
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Affiliation(s)
- Simone Migliore
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza HospitalSan Giovanni RotondoItaly
| | | | - Marta Scocchia
- Rare Neurological Diseases Centre (CMNR)Fondazione Italian League for Research on Huntington (LIRH)RomeItaly
| | - Sabrina Maffi
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza HospitalSan Giovanni RotondoItaly
| | - Ludovica Camilla Busi
- Rare Neurological Diseases Centre (CMNR)Fondazione Italian League for Research on Huntington (LIRH)RomeItaly
| | - Consuelo Ceccarelli
- Rare Neurological Diseases Centre (CMNR)Fondazione Italian League for Research on Huntington (LIRH)RomeItaly
| | - Giuseppe Curcio
- Department of Biotechnological and Applied Clinical SciencesUniversity of L'AquilaL'AquilaItaly
| | - Tommaso Mazza
- Bioinformatics Unit, Fondazione IRCCS "Casa Sollievo della Sofferenza"San Giovanni RotondoItaly
| | - Ferdinando Squitieri
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza HospitalSan Giovanni RotondoItaly
- Rare Neurological Diseases Centre (CMNR)Fondazione Italian League for Research on Huntington (LIRH)RomeItaly
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7
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Sierra LA, Wynn A, Lanzaro E, Dzekon K, Russell A, Halko M, Claassen DO, Frank S, Considine CM, Laganiere S. Deciphering Cognitive Impairments in Huntington's Disease: A Comparative Study of Stroop Test Variations. J Huntingtons Dis 2024; 13:249-257. [PMID: 38759020 DOI: 10.3233/jhd-231528] [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] [Indexed: 05/19/2024]
Abstract
Background Huntington's disease (HD) is a neurodegenerative disorder marked by cognitive impairment, movement abnormalities, and behavioral disturbances. The Stroop Color Word Test (SCWT) is a widely used tool to detect cognitive decline in HD. Variations in SCWT formats-horizontal (original) and vertical (Golden)-may influence performance, given HD's impact on cognitive and oculomotor abilities. Objective This study aimed to compare the effectiveness of the horizontal and Golden vertical SCWT formats in detecting cognitive decline in HD, and to determine how performance may have been influenced by eye movement abnormalities. Methods Forty-five participants with genetically confirmed HD were recruited. Both SCWT formats were administered to each participant in a counterbalanced fashion. Individual performance of all three sections on each format was standardized across 2 different norms. Raw and normed scores on each variation were compared and correlated with eye movement ratings on the Unified Huntington's Disease Rating Scale. Results The Golden variation elicited significantly slower responses, particularly in the Word Reading section, across two benchmark norms. Statistical analysis revealed significant performance differences between the two formats. Correlations between vertical eye movement ratings and performance on the Golden SCWT were highly significant, highlighting the impact of oculomotor coordination on cognitive assessments in HD. Conclusion This study underscores the importance of considering test format in cognitive assessments for HD. The Golden vertical SCWT demonstrates increased sensitivity in detecting deficits in HD, possibly linked to vertical saccade abnormalities. These insights are important for improving the sensitivity of cognitive assessments and monitoring disease progression in HD research and clinical practice.
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Affiliation(s)
- Luis A Sierra
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Amy Wynn
- Neurology Department Vanderbilt University Medical Center-Village at Vanderbilt, Nashville, TN, USA
| | - Ella Lanzaro
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Katya Dzekon
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Aine Russell
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mark Halko
- Department of Psychiatry, Harvard Medical School/McLean Hospital, Belmont, MA, USA
| | - Daniel O Claassen
- Neurology Department Vanderbilt University Medical Center-Village at Vanderbilt, Nashville, TN, USA
| | - Samuel Frank
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ciaran M Considine
- Neurology Department Vanderbilt University Medical Center-Village at Vanderbilt, Nashville, TN, USA
| | - Simon Laganiere
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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8
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Hamilton J, Farag M, Tabrizi SJ. Complementary insights into corticostriatal synapse loss and cognition in Huntington's disease. Cell Rep Med 2023; 4:101314. [PMID: 38118416 PMCID: PMC10772369 DOI: 10.1016/j.xcrm.2023.101314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 12/22/2023]
Abstract
In a recent study, Wilton and colleagues link activation of the classical complement pathway with corticostriatal synapse loss and cognitive decline in Huntington's disease.1.
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Affiliation(s)
- Joseph Hamilton
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Mena Farag
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Sarah J Tabrizi
- UCL Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK; UK Dementia Research Institute, University College London, London WC1N 3BG, UK.
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Ponomareva NV, Klyushnikov SA, Abramycheva N, Konovalov RN, Krotenkova M, Kolesnikova E, Malina D, Urazgildeeva G, Kanavets E, Mitrofanov A, Fokin V, Rogaev E, Illarioshkin SN. Neurophysiological hallmarks of Huntington's disease progression: an EEG and fMRI connectivity study. Front Aging Neurosci 2023; 15:1270226. [PMID: 38161585 PMCID: PMC10755012 DOI: 10.3389/fnagi.2023.1270226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can provide corroborative data on neurophysiological alterations in Huntington's disease (HD). However, the alterations in EEG and fMRI resting-state functional connectivity (rsFC), as well as their interrelations, at different stages of HD remain insufficiently investigated. This study aimed to identify neurophysiological alterations in individuals with preclinical HD (preHD) and early manifest HD (EMHD) by analyzing EEG and fMRI rsFC and examining their interrelationships. We found significant differences in EEG power between preHD individuals and healthy controls (HC), with a decrease in power in a specific frequency range at the theta-alpha border and slow alpha activity. In EMHD patients, in addition to the decrease in power in the 7-9 Hz range, a reduction in power within the classic alpha band compared to HC was observed. The fMRI analysis revealed disrupted functional connectivity in various brain networks, particularly within frontal lobe, putamen-cortical, and cortico-cerebellar networks, in individuals with the HD mutation compared to HC. The analysis of the relationship between EEG and fMRI rsFC revealed an association between decreased alpha power, observed in individuals with EMHD, and increased connectivity in large-scale brain networks. These networks include putamen-cortical, DMN-related and cortico-hippocampal circuits. Overall, the findings suggest that EEG and fMRI provide valuable information for monitoring pathological processes during the development of HD. A decrease in inhibitory control within the putamen-cortical, DMN-related and cortico-hippocampal circuits, accompanied by a reduction in alpha and theta-alpha border oscillatory activity, could potentially contribute to cognitive decline in HD.
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Affiliation(s)
- Natalya V. Ponomareva
- Research Center of Neurology, Moscow, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
| | | | | | | | | | | | | | | | | | | | | | - Evgeny Rogaev
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Department of Psychiatry, Umass Chan Medical School, Shrewsbury, MA, United States
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Wilton DK, Mastro K, Heller MD, Gergits FW, Willing CR, Fahey JB, Frouin A, Daggett A, Gu X, Kim YA, Faull RLM, Jayadev S, Yednock T, Yang XW, Stevens B. Microglia and complement mediate early corticostriatal synapse loss and cognitive dysfunction in Huntington's disease. Nat Med 2023; 29:2866-2884. [PMID: 37814059 PMCID: PMC10667107 DOI: 10.1038/s41591-023-02566-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 08/24/2023] [Indexed: 10/11/2023]
Abstract
Huntington's disease (HD) is a devastating monogenic neurodegenerative disease characterized by early, selective pathology in the basal ganglia despite the ubiquitous expression of mutant huntingtin. The molecular mechanisms underlying this region-specific neuronal degeneration and how these relate to the development of early cognitive phenotypes are poorly understood. Here we show that there is selective loss of synaptic connections between the cortex and striatum in postmortem tissue from patients with HD that is associated with the increased activation and localization of complement proteins, innate immune molecules, to these synaptic elements. We also found that levels of these secreted innate immune molecules are elevated in the cerebrospinal fluid of premanifest HD patients and correlate with established measures of disease burden.In preclinical genetic models of HD, we show that complement proteins mediate the selective elimination of corticostriatal synapses at an early stage in disease pathogenesis, marking them for removal by microglia, the brain's resident macrophage population. This process requires mutant huntingtin to be expressed in both cortical and striatal neurons. Inhibition of this complement-dependent elimination mechanism through administration of a therapeutically relevant C1q function-blocking antibody or genetic ablation of a complement receptor on microglia prevented synapse loss, increased excitatory input to the striatum and rescued the early development of visual discrimination learning and cognitive flexibility deficits in these models. Together, our findings implicate microglia and the complement cascade in the selective, early degeneration of corticostriatal synapses and the development of cognitive deficits in presymptomatic HD; they also provide new preclinical data to support complement as a therapeutic target for early intervention.
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Affiliation(s)
- Daniel K Wilton
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US.
| | - Kevin Mastro
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Molly D Heller
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Frederick W Gergits
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Carly Rose Willing
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Jaclyn B Fahey
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Arnaud Frouin
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Anthony Daggett
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Xiaofeng Gu
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Yejin A Kim
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Richard L M Faull
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ted Yednock
- Annexon Biosciences, South San Francisco, CA, USA
| | - X William Yang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Beth Stevens
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US.
- Stanley Center, Broad Institute, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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11
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Al-Mazidi SH. The Physiology of Cognition in Autism Spectrum Disorder: Current and Future Challenges. Cureus 2023; 15:e46581. [PMID: 37808604 PMCID: PMC10557542 DOI: 10.7759/cureus.46581] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2023] [Indexed: 10/10/2023] Open
Abstract
Cognitive impairment is among the most challenging characteristics of autism spectrum disorder (ASD). Although ASD is one of the common neurodevelopmental disorders, we are still behind in diagnosing and treating cognitive impairment in ASD. Cognitive impairment in ASD varies, meaning it could be at the sensory perception level to cognitive processing, learning, and memory. There are no diagnostic criteria for cognitive impairment that are specific to ASD. The leading causes of cognitive impairment in ASD could be neurological, immune, and gastrointestinal dysfunction. Immune dysfunction might lead to neuroinflammation, affecting neural connectivity, glutamate/gamma-aminobutyric acid (GABA) balance, and plasticity. The gut-brain axes are essential in the developing brain. Special retinal changes have recently been detected in ASD, which need clinical investigation to find their possible role in early diagnosis. Early intervention is crucial for ASD cognitive dysfunction. Due to the heterogeneity of the disease, the clinical manifestation of ASD makes it difficult for clinicians to develop gold-standard diagnostic and therapeutic criteria. We suggest a triad for diagnosis, which includes clinical tests for immune and gastrointestinal dysfunction biomarkers, clinical examination for the retina, and an objective neurocognitive evaluation for ASD, and to develop a treatment strategy involving these three aspects. Developing clear treatment criteria for cognitive impairment for ASD would improve the quality of life of ASD people and their caregivers and would delay or prevent dementia-related disorders in ASD people.
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12
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Manivannan A, Foley LM, Hitchens TK, Rattray I, Bates GP, Modo M. Ex vivo 100 μm isotropic diffusion MRI-based tractography of connectivity changes in the end-stage R6/2 mouse model of Huntington's disease. NEUROPROTECTION 2023; 1:66-83. [PMID: 37745674 PMCID: PMC10516267 DOI: 10.1002/nep3.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 11/08/2022] [Indexed: 09/26/2023]
Abstract
Background Huntington's disease is a progressive neurodegenerative disorder. Brain atrophy, as measured by volumetric magnetic resonance imaging (MRI), is a downstream consequence of neurodegeneration, but microstructural changes within brain tissue are expected to precede this volumetric decline. The tissue microstructure can be assayed non-invasively using diffusion MRI, which also allows a tractographic analysis of brain connectivity. Methods We here used ex vivo diffusion MRI (11.7 T) to measure microstructural changes in different brain regions of end-stage (14 weeks of age) wild type and R6/2 mice (male and female) modeling Huntington's disease. To probe the microstructure of different brain regions, reduce partial volume effects and measure connectivity between different regions, a 100 μm isotropic voxel resolution was acquired. Results Although fractional anisotropy did not reveal any difference between wild-type controls and R6/2 mice, mean, axial, and radial diffusivity were increased in female R6/2 mice and decreased in male R6/2 mice. Whole brain streamlines were only reduced in male R6/2 mice, but streamline density was increased. Region-to-region tractography indicated reductions in connectivity between the cortex, hippocampus, and thalamus with the striatum, as well as within the basal ganglia (striatum-globus pallidus-subthalamic nucleus-substantia nigra-thalamus). Conclusions Biological sex and left/right hemisphere affected tractographic results, potentially reflecting different stages of disease progression. This proof-of-principle study indicates that diffusion MRI and tractography potentially provide novel biomarkers that connect volumetric changes across different brain regions. In a translation setting, these measurements constitute a novel tool to assess the therapeutic impact of interventions such as neuroprotective agents in transgenic models, as well as patients with Huntington's disease.
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Affiliation(s)
- Ashwinee Manivannan
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lesley M. Foley
- Animal Imaging Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - T. Kevin Hitchens
- Animal Imaging Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ivan Rattray
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, Huntington’s Disease Centre and UK Dementia Research Institute at UCL, University College London, London, UK
| | - Gillian P. Bates
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, Huntington’s Disease Centre and UK Dementia Research Institute at UCL, University College London, London, UK
| | - Michel Modo
- Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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13
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Davis MC, Hill AT, Fitzgerald PB, Bailey NW, Stout JC, Hoy KE. Neurophysiological correlates of non-motor symptoms in late premanifest and early-stage manifest huntington's disease. Clin Neurophysiol 2023; 153:166-176. [PMID: 37506604 DOI: 10.1016/j.clinph.2023.06.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 05/22/2023] [Accepted: 06/18/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE To find sensitive neurophysiological correlates of non-motor symptoms in Huntington's disease (HD), which are essential for the development and assessment of novel treatments. METHODS We used resting state EEG to examine differences in oscillatory activity (analysing the isolated periodic as well as the complete EEG signal) and functional connectivity in 22 late premanifest and early stage people with HD and 20 neurotypical controls. We then assessed the correlations between these neurophysiological markers and clinical measures of apathy and processing speed. RESULTS Significantly lower theta and greater delta resting state power was seen in the HD group, as well as significantly greater delta connectivity. There was a significant positive correlation between theta power and processing speed, however there were no associations between the neurophysiological and apathy measures. CONCLUSIONS We speculate that these changes in oscillatory power and connectivity reflect ongoing, frontally concentrated degenerative and compensatory processes associated with HD. SIGNIFICANCE Our findings support the potential utility of quantitative EEG as a proximate marker of processing speed, but not apathy in HD.
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Affiliation(s)
- Marie-Claire Davis
- Central Clinical School, Department of Psychiatry, Monash University, Victoria, Australia; Statewide Progressive Neurological Disease Service, Calvary Health Care Bethlehem, Victoria, Australia.
| | - Aron T Hill
- Central Clinical School, Department of Psychiatry, Monash University, Victoria, Australia; Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Victoria, Australia.
| | - Paul B Fitzgerald
- Central Clinical School, Department of Psychiatry, Monash University, Victoria, Australia; School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia.
| | - Neil W Bailey
- Central Clinical School, Department of Psychiatry, Monash University, Victoria, Australia; School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia; Monarch Research Institute Monarch Mental Health Group, 225 Clarence Street, Sydney, NSW 2000, Australia.
| | - Julie C Stout
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, 18 Innovation Walk, Clayton Campus, Wellington Road, Clayton, VIC 3800, Australia.
| | - Kate E Hoy
- Central Clinical School, Department of Psychiatry, Monash University, Victoria, Australia; The Bionics Institute of Australia, 384-388 Albert St, East Melbourne, VIC 3002, Australia.
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14
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Stock AK, Werner A, Kuntke P, Petasch MS, Bensmann W, Zink N, Koyun AH, Quednow BB, Beste C. Gamma-Aminobutyric Acid and Glutamate Concentrations in the Striatum and Anterior Cingulate Cortex Not Found to Be Associated with Cognitive Flexibility. Brain Sci 2023; 13:1192. [PMID: 37626548 PMCID: PMC10452168 DOI: 10.3390/brainsci13081192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Behavioral flexibility and goal-directed behavior heavily depend on fronto-striatal networks. Within these circuits, gamma-aminobutyric acid (GABA) and glutamate play an important role in (motor) response inhibition, but it has remained largely unclear whether they are also relevant for cognitive inhibition. We hence investigated the functional role of these transmitters for cognitive inhibition during cognitive flexibility. Healthy young adults performed two paradigms assessing different aspects of cognitive flexibility. Magnetic resonance spectroscopy (MRS) was used to quantify GABA+ and total glutamate/glutamine (Glx) levels in the striatum and anterior cingulate cortex (ACC) referenced to N-acetylaspartate (NAA). We observed typical task switching and backward inhibition effects, but striatal and ACC concentrations of GABA+/NAA and Glx/NAA were not associated with cognitive flexibility in a functionally relevant manner. The assumption of null effects was underpinned by Bayesian testing. These findings suggest that behavioral and cognitive inhibition are functionally distinct faculties, that depend on (at least partly) different brain structures and neurotransmitter systems. While previous studies consistently demonstrated that motor response inhibition is modulated by ACC and striatal GABA levels, our results suggest that the functionally distinct cognitive inhibition required for successful switching is not, or at least to a much lesser degree, modulated by these factors.
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Affiliation(s)
- Ann-Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
- Biopsychology, Department of Psychology, School of Science, TU Dresden, D-01062 Dresden, Germany
| | - Annett Werner
- Institute of Diagnostic and Interventional Neuroradiology, TU Dresden, D-01309 Dresden, Germany; (A.W.); (P.K.)
| | - Paul Kuntke
- Institute of Diagnostic and Interventional Neuroradiology, TU Dresden, D-01309 Dresden, Germany; (A.W.); (P.K.)
| | - Miriam-Sophie Petasch
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
| | - Wiebke Bensmann
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
| | - Nicolas Zink
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
| | - Anna Helin Koyun
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
| | - Boris B. Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, 8032 Zürich, Switzerland;
- Neuroscience Center Zurich, Swiss Federal Institute of Technology Zurich, University of Zurich, 8032 Zürich, Switzerland
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, D-01309 Dresden, Germany; (M.-S.P.); (W.B.); (N.Z.); (A.H.K.); (C.B.)
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15
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Li XY, Xie JJ, Wang JH, Bao YF, Dong Y, Gao B, Shen T, Huang PY, Ying HC, Xu H, Roe AW, Lai HY, Wu ZY. Perivascular spaces relate to the course and cognition of Huntington's disease. Transl Neurodegener 2023; 12:30. [PMID: 37287074 DOI: 10.1186/s40035-023-00359-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/25/2023] [Indexed: 06/09/2023] Open
Affiliation(s)
- Xiao-Yan Li
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Juan-Juan Xie
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
- Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Jin-Hong Wang
- College of Computer Science and Technology, Zhejiang University, Hangzhou, China
| | - Yu-Feng Bao
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Dong
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Gao
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Shen
- Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Pei-Yu Huang
- Department of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hao-Chao Ying
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Han Xu
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
| | - Anna Wang Roe
- Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
| | - Hsin-Yi Lai
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
- Interdisciplinary Institute of Neuroscience and Technology, College of Biomedical Engineering and Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
| | - Zhi-Ying Wu
- Department of Medical Genetics and Center for Rare Diseases, Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.
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16
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Lunven M, Hernandez Dominguez K, Youssov K, Hamet Bagnou J, Fliss R, Vandendriessche H, Bapst B, Morgado G, Remy P, Schubert R, Reilmann R, Busse M, Craufurd D, Massart R, Rosser A, Bachoud-Lévi AC. A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington's disease. Brain Commun 2023; 5:fcad043. [PMID: 36938527 PMCID: PMC10018460 DOI: 10.1093/braincomms/fcad043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 11/30/2022] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
Cognitive deficits represent a hallmark of neurodegenerative diseases, but evaluating their progression is complex. Most current evaluations involve lengthy paper-and-pencil tasks which are subject to learning effects dependent on the mode of response (motor or verbal), the countries' language or the examiners. To address these limitations, we hypothesized that applying neuroscience principles may offer a fruitful alternative. We thus developed the SelfCog, a digitized battery that tests motor, executive, visuospatial, language and memory functions in 15 min. All cognitive functions are tested according to the same paradigm, and a randomization algorithm provides a new test at each assessment with a constant level of difficulty. Here, we assessed its validity, reliability and sensitivity to detect decline in early-stage Huntington's disease in a prospective and international multilingual study (France, the UK and Germany). Fifty-one out of 85 participants with Huntington's disease and 40 of 52 healthy controls included at baseline were followed up for 1 year. Assessments included a comprehensive clinical assessment battery including currently standard cognitive assessments alongside the SelfCog. We estimated associations between each of the clinical assessments and SelfCog using Spearman's correlation and proneness to retest effects and sensitivity to decline through linear mixed models. Longitudinal effect sizes were estimated for each cognitive score. Voxel-based morphometry and tract-based spatial statistics analyses were conducted to assess the consistency between performance on the SelfCog and MRI 3D-T1 and diffusion-weighted imaging in a subgroup that underwent MRI at baseline and after 12 months. The SelfCog detected the decline of patients with Huntington's disease in a 1-year follow-up period with satisfactory psychometric properties. Huntington's disease patients are correctly differentiated from controls. The SelfCog showed larger effect sizes than the classical cognitive assessments. Its scores were associated with grey and white matter damage at baseline and over 1 year. Given its good performance in longitudinal analyses of the Huntington's disease cohort, it should likely become a very useful tool for measuring cognition in Huntington's disease in the future. It highlights the value of moving the field along the neuroscience principles and eventually applying them to the evaluation of all neurodegenerative diseases.
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Affiliation(s)
- Marine Lunven
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Karen Hernandez Dominguez
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Katia Youssov
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Jennifer Hamet Bagnou
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Rafika Fliss
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Henri Vandendriessche
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Blanche Bapst
- Department of Neuroradiology, AP-HP, Henri Mondor University Hospital, 94010 Créteil, France
- Faculty of Medicine, Université Paris Est Créteil, F-94010 Créteil, France
| | - Graça Morgado
- Inserm, Centre d’Investigation Clinique 1430, APHP, Hôpital Henri Mondor, 94010 Créteil, France
| | - Philippe Remy
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Robin Schubert
- George Huntington Institute, Technology-Park, 48149 Muenster, Germany
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tuebingen, 72076 Tuebingen, Germany
| | - Ralf Reilmann
- George Huntington Institute, Technology-Park, 48149 Muenster, Germany
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tuebingen, 72076 Tuebingen, Germany
- Department of Clinical Radiology, University of Muenster, 48149 Muenster, Germany
| | - Monica Busse
- Centre for Trials Research, Cardiff University, Cardiff CF14 4EP, UK
- Wales Brain Research And Intracranial Neurotherapeutics (BRAIN) Biomedical Research Unit, College of Biomedical and Life Sciences, Cardiff University, Cardiff CF14 4EP, UK
| | - David Craufurd
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
| | - Renaud Massart
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
| | - Anne Rosser
- Wales Brain Research And Intracranial Neurotherapeutics (BRAIN) Biomedical Research Unit, College of Biomedical and Life Sciences, Cardiff University, Cardiff CF14 4EP, UK
- Cardiff School of Medicine, Neuroscience and Mental Health Institute, Cardiff CF24 4HQ, UK
- School of Biosciences, Cardiff University Brain Repair Group, Cardiff CF10 3AX, UK
| | - Anne-Catherine Bachoud-Lévi
- Département d'Etudes Cognitives, École normale supérieure, PSL University, 75005 Paris, France
- University Paris Est Creteil, INSERM U955, Institut Mondor de Recherche Biomédicale, Equipe NeuroPsychologie Interventionnelle, F-94010 Creteil, France
- AP-HP, Hôpital Henri Mondor-Albert Chenevier, Centre de référence Maladie de Huntington, Service de Neurologie, F-94010 Créteil, France
- NeurATRIS, Hôpital Henri Mondor, 94010 Créteil, France
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Schmitt LM, Arzuaga AL, Dapore A, Duncan J, Patel M, Larson JR, Erickson CA, Sweeney JA, Ragozzino ME. Parallel learning and cognitive flexibility impairments between Fmr1 knockout mice and individuals with fragile X syndrome. Front Behav Neurosci 2023; 16:1074682. [PMID: 36688132 PMCID: PMC9849779 DOI: 10.3389/fnbeh.2022.1074682] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Introduction Fragile X Syndrome (FXS) is a monogenic condition that leads to intellectual disability along with behavioral and learning difficulties. Among behavioral and learning difficulties, cognitive flexibility impairments are among the most commonly reported in FXS, which significantly impacts daily living. Despite the extensive use of the Fmr1 knockout (KO) mouse to understand molecular, synaptic and behavioral alterations related to FXS, there has been limited development of translational paradigms to understand cognitive flexibility that can be employed in both animal models and individuals with FXS to facilitate treatment development. Methods To begin addressing this limitation, a parallel set of studies were carried out that investigated probabilistic reversal learning along with other behavioral and cognitive tests in individuals with FXS and Fmr1 KO mice. Fifty-five adolescents and adults with FXS (67% male) and 34 age- and sex-matched typically developing controls (62% male) completed an initial probabilistic learning training task and a probabilistic reversal learning task. Results In males with FXS, both initial probabilistic learning and reversal learning deficits were found. However, in females with FXS, we only observed reversal learning deficits. Reversal learning deficits related to more severe psychiatric features in females with FXS, whereas increased sensitivity to negative feedback (lose:shift errors) unexpectedly appear to be adaptive in males with FXS. Male Fmr1 KO mice exhibited both an initial probabilistic learning and reversal learning deficit compared to that of wildtype (WT) mice. Female Fmr1 KO mice were selectively impaired on probabilistic reversal learning. In a prepotent response inhibition test, both male and female Fmr1 KO mice were impaired in learning to choose a non-preferred spatial location to receive a food reward compared to that of WT mice. Neither male nor female Fmr1 KO mice exhibited a change in anxiety compared to that of WT mice. Discussion Together, our findings demonstrate strikingly similar sex-dependent learning disturbances across individuals with FXS and Fmr1 KO mice. This suggests the promise of using analogous paradigms of cognitive flexibility across species that may speed treatment development to improve lives of individuals with FXS.
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Affiliation(s)
- Lauren M. Schmitt
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Anna L. Arzuaga
- Department of Psychology, University of Illinois Chicago, Chicago, IL, United States
| | - Ashley Dapore
- Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - Jason Duncan
- Department of Psychology, University of Illinois Chicago, Chicago, IL, United States
| | - Maya Patel
- Department of Psychology, University of Illinois Chicago, Chicago, IL, United States
| | - John R. Larson
- Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States
| | - Craig A. Erickson
- Department of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Michael E. Ragozzino
- Department of Psychology, University of Illinois Chicago, Chicago, IL, United States,*Correspondence: Michael E. Ragozzino,
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18
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Hubčíková K, Rakús T, Mühlbäck A, Benetin J, Bruncvik L, Petrášová Z, Bušková J, Brunovský M. Psychosocial Impact of Huntington's Disease and Incentives to Improve Care for Affected Families in the Underserved Region of the Slovak Republic. J Pers Med 2022; 12:jpm12121941. [PMID: 36556162 PMCID: PMC9783383 DOI: 10.3390/jpm12121941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/14/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Huntington's disease (HD) is often on the margin of standard medical practice due to its low prevalence, the lack of causal treatment, and the typically long premanifest window prior to the onset of the symptoms, which contrasts with the long-lasting burden that the disease causes in affected families. METHODS To capture these socio-psychological aspects of HD and map the experiences of affected individuals, persons at risk of HD, and caregivers, we created a questionnaire using a qualitative research approach. The questionnaire containing 16 questions was conducted online for a period of three months through patient associations in Slovakia and their infrastructures. RESULTS In total, we received 30 responses. The survey results, in particular, indicate insufficient counselling by physicians with explicitly missing information about the possibility of preimplantation genetic diagnostic. There was also a necessity to improve comprehensive social and health care in the later stages of the disease, raise awareness of the disease in the general health community, and provide more information on ongoing clinical trials. CONCLUSION The psychosocial effects, as well as the burden, can be mitigated by comprehensive genetic counselling as well as reproductive and financial guidelines and subsequent therapeutic programs to actively support patients, caregivers, children, and adolescents growing up in affected families, preferably with the help of local HD community association. LIMITATIONS We have used online data collection to reach a wider HD community, but at the same time, we are aware that the quality of the data we would obtain through face-to-face interviews would be considerably better. Therefore, future studies need to be conducted to obtain more detailed information.
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Affiliation(s)
- Katarína Hubčíková
- Neuropsychiatric Department, Psychiatric Hospital of Philipp Pinel in Pezinok, 90201 Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
- Correspondence: ; Tel.: +421917111575; Fax: +421336482121
| | - Tomáš Rakús
- Neuropsychiatric Department, Psychiatric Hospital of Philipp Pinel in Pezinok, 90201 Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
- Department of Psychiatry, Slovac Medical University, 83303 Bratislava, Slovakia
| | - Alžbeta Mühlbäck
- Department of Neuropsychiatry, kbo-Isar-Amper-Klinikum, 84416 Taufkirchen (Vils), Germany
- Department of Neurology and Center of Clinical Neuroscience, 1st Faculty of Medicine, Charles University and General University Hospital in Prague, 12821 Prague, Czech Republic
- Department of Neurology, University Hospital of Ulm, 89081 Ulm, Germany
| | - Ján Benetin
- Neuropsychiatric Department, Psychiatric Hospital of Philipp Pinel in Pezinok, 90201 Pezinok, Slovakia
| | - Lucia Bruncvik
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
- Landesklinikum Hainburg, 2410 Hainburg an der Donau, Austria
| | - Zuzana Petrášová
- Neuropsychiatric Department, Psychiatric Hospital of Philipp Pinel in Pezinok, 90201 Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
| | - Jitka Bušková
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
- National Institute of Mental Health, 25067 Klecany, Czech Republic
| | - Martin Brunovský
- Third Faculty of Medicine, Charles University in Prague, 10000 Prague, Czech Republic
- National Institute of Mental Health, 25067 Klecany, Czech Republic
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McColgan P, Gregory S, Zeun P, Zarkali A, Johnson EB, Parker C, Fayer K, Lowe J, Nair A, Estevez-Fraga C, Papoutsi M, Zhang H, Scahill RI, Tabrizi SJ, Rees G. Neurofilament light-associated connectivity in young-adult Huntington's disease is related to neuronal genes. Brain 2022; 145:3953-3967. [PMID: 35758263 PMCID: PMC9679168 DOI: 10.1093/brain/awac227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 05/27/2022] [Accepted: 06/03/2022] [Indexed: 11/13/2022] Open
Abstract
Upregulation of functional network connectivity in the presence of structural degeneration is seen in the premanifest stages of Huntington's disease (preHD) 10-15 years from clinical diagnosis. However, whether widespread network connectivity changes are seen in gene carriers much further from onset has yet to be explored. We characterized functional network connectivity throughout the brain and related it to a measure of disease pathology burden (CSF neurofilament light, NfL) and measures of structural connectivity in asymptomatic gene carriers, on average 24 years from onset. We related these measurements to estimates of cortical and subcortical gene expression. We found no overall differences in functional (or structural) connectivity anywhere in the brain comparing control and preHD participants. However, increased functional connectivity, particularly between posterior cortical areas, correlated with increasing CSF NfL level in preHD participants. Using the Allen Human Brain Atlas and expression-weighted cell-type enrichment analysis, we demonstrated that this functional connectivity upregulation occurred in cortical regions associated with regional expression of genes specific to neuronal cells. This relationship was validated using single-nucleus RNAseq data from post-mortem Huntington's disease and control brains showing enrichment of neuronal-specific genes that are differentially expressed in Huntington's disease. Functional brain networks in asymptomatic preHD gene carriers very far from disease onset show evidence of upregulated connectivity correlating with increased disease burden. These changes occur among brain areas that show regional expression of genes specific to neuronal GABAergic and glutamatergic cells.
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Affiliation(s)
- Peter McColgan
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Sarah Gregory
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Paul Zeun
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Angeliki Zarkali
- Dementia Research Centre, University College London, London WC1N 3AR, UK
| | - Eileanoir B Johnson
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Christopher Parker
- Department of Computer Science and Centre for Medical Image Computing, University College London, London WC1V 6LJ, UK
| | - Kate Fayer
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Jessica Lowe
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Akshay Nair
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Carlos Estevez-Fraga
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Marina Papoutsi
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Hui Zhang
- Dementia Research Centre, University College London, London WC1N 3AR, UK
| | - Rachael I Scahill
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Sarah J Tabrizi
- Huntington’s Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK
- Dementia Research Centre, University College London, London WC1N 3AR, UK
| | - Geraint Rees
- University College London Institute of Cognitive Neuroscience, University College London, London WC1N 3AZ, UK
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20
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Watanuki S. Neural mechanisms of brand love relationship dynamics: Is the development of brand love relationships the same as that of interpersonal romantic love relationships? Front Neurosci 2022; 16:984647. [PMID: 36440289 PMCID: PMC9686448 DOI: 10.3389/fnins.2022.984647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 10/24/2022] [Indexed: 01/25/2023] Open
Abstract
Brand love is a relationship between brands and consumers. Managing the relationship is an important issue for marketing strategy since it changes according to temporal flow. Brand love theories, including their dynamics, have been developed based on interpersonal romantic love theories. Although many brand love studies have provided useful findings, the neural mechanism of brand love remains unclear. Especially, its dynamics have not been considered from a neuroscience perspective. The present study addressed the commonalities and differentiations of activated brain regions between brand love and interpersonal romantic love relationships using a quantitative neuroimaging meta-analytic approach, from the view of brain connectivity. Regarding the mental processes of each love relationship related to these activated brain regions, decoding analysis was conducted using the NeuroQuery platform to prevent reverse inference. The results revealed that different neural mechanisms and mental processes were distinctively involved in the dynamics of each love relationship, although the anterior insula overlapped across all stages and the reinforcement learning system was driven between both love relationships in the early stage. Remarkably, regarding the distinctive mental processes, although prosocial aspects were involved in the mental processes of interpersonal romantic love relationships across all stages, they were not involved in the mental processes of brand love relationships. Conclusively, although common brain regions and mental processes between both love relationships were observed, neural mechanisms and mental processes in brand love relationship dynamics might be innately different from those in the interpersonal romantic love relationship dynamics. As this finding indicates essential distinctiveness between both these relationships, theories concerning interpersonal romantic love should be applied cautiously when investigating brand love relationship dynamics.
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Affiliation(s)
- Shinya Watanuki
- Department of Marketing, Faculty of Commerce, University of Marketing and Distribution Sciences, Kobe, Japan
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21
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Reasoner EE, van der Plas E, Al‐Kaylani HM, Langbehn DR, Conrad AL, Schultz JL, Epping EA, Magnotta VA, Nopoulos PC. Behavioral features in child and adolescent huntingtin gene-mutation carriers. Brain Behav 2022; 12:e2630. [PMID: 35604958 PMCID: PMC9304841 DOI: 10.1002/brb3.2630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/11/2022] [Accepted: 05/03/2022] [Indexed: 02/03/2023] Open
Abstract
INTRODUCTION We compared neuropsychiatric symptoms between child and adolescent huntingtin gene-mutation carriers and noncarriers. Given previous evidence of atypical striatal development in carriers, we also assessed the relationship between neuropsychiatric traits and striatal development. METHODS Participants between 6 and 18 years old were recruited from families affected by Huntington's disease and tested for the huntingtin gene expansion. Neuropsychiatric traits were assessed using the Pediatric Behavior Scale and the Behavior Rating Inventory of Executive Function. Striatal volumes were extracted from 3T neuro-anatomical images. Multivariable linear regression models were conducted to evaluate the impact of group (i.e., gene nonexpanded [GNE] or gene expanded [GE]), age, and trajectory of striatal growth on neuropsychiatric symptoms. RESULTS There were no group differences in any behavioral measure with the exception of depression/anxiety score, which was higher in the GNE group compared to the GE group (estimate = 4.58, t(129) = 2.52, FDR = 0.051). The growth trajectory of striatal volume predicted depression scores (estimate = 0.429, 95% CI 0.15:0.71, p = .0029), where a negative slope of striatal volume over time was associated with lower depression/anxiety. CONCLUSIONS The current findings show that GE children may have lower depression/anxiety compared to their peers. Previously, we observed a unique pattern of early striatal hypertrophy and continued decrement in volume over time among GE children and adolescents. In contrast, GNE individuals largely show striatal volume growth. These findings suggest that the lower scores of depression and anxiety seen in GE children and adolescents may be associated with differential growth of the striatum.
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Affiliation(s)
- Erin E. Reasoner
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Ellen van der Plas
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Hend M. Al‐Kaylani
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Douglas R. Langbehn
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Amy L. Conrad
- Stead Family Children's Hospital at the University of IowaIowa CityIowaUSA
| | - Jordan L. Schultz
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Eric A. Epping
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Vincent A. Magnotta
- Department of RadiologyUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
| | - Peggy C. Nopoulos
- Department of PsychiatryUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
- Stead Family Children's Hospital at the University of IowaIowa CityIowaUSA
- Department of NeurologyUniversity of Iowa Hospital and ClinicsIowa CityIowaUSA
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22
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Grant KA, Newman N, Lynn C, Davenport C, Gonzales S, Cuzon Carlson VC, Kroenke CD. Brain Functional Connectivity Mapping of Behavioral Flexibility in Rhesus Monkeys. J Neurosci 2022; 42:4867-4878. [PMID: 35552233 PMCID: PMC9188385 DOI: 10.1523/jneurosci.0816-21.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 04/21/2022] [Accepted: 05/02/2022] [Indexed: 11/21/2022] Open
Abstract
The predisposition to engage in autonomous habitual behaviors has been associated with behavioral disorders, such as obsessive-compulsive disorder and addiction. Attentional set-shifting tasks (ASSTs), which incorporate changes governing the association of discriminative stimuli with contingent reinforcement, are commonly used to measure underlying processes of cognitive/behavioral flexibility. The purpose of this study was to identify primate brain networks that mediate trait-like deficits in ASST performance using resting-state fMRI. A self-pacing ASST was administered to three cohorts of rhesus monkeys (total n = 35, 18 female). Increased performance over 30 consecutive sessions segregated the monkeys into two populations, termed High Performers (HP, n = 17) and Low Performers (LP, n = 17), with one anomaly. Compared with LPs, HPs had higher rates of improving performance over sessions and completed the 8 sets/sessions with fewer errors. LP monkeys, on the other hand, spent most of each session in the first set and often did not acquire the first reversal. A whole-brain independent components analysis of resting-state fMRI under isoflurane identified four strong networks. Of these, a dual regression analysis revealed that a designated "executive control network," differed between HPs and LPs. Specific areas of connectivity in the rhesus executive control network, including frontal cortices (ventrolateral, ventromedial, and orbital) and the dorsal striatum (caudate, putamen) correlated with perseverative errors and response latency. Overall, the results identify trait-like characteristics of behavioral flexibility that are associated with correlated brain activity involving specific nuclei of frontostriatal networks.SIGNIFICANCE STATEMENT Resting state functional connectivity MRI in rhesus monkeys identified specific nuclei in frontostriatal circuitry that were associated with population differences in perseverative and impulsive aspects of cognitive flexibility.
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Affiliation(s)
- Kathleen A Grant
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon 97239
- Portland Alcohol Research Center, Oregon Health & Science University, Portland, Oregon 97239
| | - Natali Newman
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
| | - Colton Lynn
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
| | - Conor Davenport
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
| | - Steven Gonzales
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
| | - Verginia C Cuzon Carlson
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon 97239
- Portland Alcohol Research Center, Oregon Health & Science University, Portland, Oregon 97239
| | - Christopher D Kroenke
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon 97239
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon 97239
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23
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Morris L, O'Callaghan C, Le Heron C. Disordered Decision Making: A Cognitive Framework for Apathy and Impulsivity in Huntington's Disease. Mov Disord 2022; 37:1149-1163. [PMID: 35491758 PMCID: PMC9322688 DOI: 10.1002/mds.29013] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 02/17/2022] [Accepted: 03/15/2022] [Indexed: 01/12/2023] Open
Abstract
A caregiver's all‐too‐familiar narrative ‐ “He doesn't think through what he does, but mostly he does nothing.” Apathy and impulsivity, debilitating and poorly understood, commonly co‐occur in Huntington's disease (HD). HD is a neurodegenerative disease with manifestations bridging clinical neurology and psychiatry. In addition to movement and cognitive symptoms, neurobehavioral disturbances, particularly apathy and impulsivity, are prevalent features of HD, occurring early in the disease course, often worsening with disease progression, and substantially reducing quality of life. Treatments remain limited, in part because of limited mechanistic understanding of these behavioral disturbances. However, emerging work within the field of decision‐making neuroscience and beyond points to common neurobiological mechanisms underpinning these seemingly disparate problems. These insights bridge the gap between underlying disease pathology and clinical phenotype, offering new treatment strategies, novel behavioral and physiological biomarkers of HD, and deeper understanding of human behavior. In this review, we apply the neurobiological framework of cost‐benefit decision making to the problems of apathy and impulsivity in HD. Through this decision‐making lens, we develop a mechanistic model that elucidates the occurrence of these behavioral disturbances and points to potential treatment strategies and crucial research priorities. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society.
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Affiliation(s)
- Lee‐Anne Morris
- Department of Medicine University of Otago Christchurch New Zealand
- New Zealand Brain Research Institute Christchurch New Zealand
| | - Claire O'Callaghan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health University of Sydney Sydney New South Wales Australia
| | - Campbell Le Heron
- Department of Medicine University of Otago Christchurch New Zealand
- New Zealand Brain Research Institute Christchurch New Zealand
- Department of Neurology Canterbury District Health Board Christchurch New Zealand
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24
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OUP accepted manuscript. Brain 2022; 145:814-815. [DOI: 10.1093/brain/awac046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 11/12/2022] Open
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Reasoner EE, van der Plas E, Langbehn DR, Conrad AL, Koscik TR, Epping EA, Magnotta VA, Nopoulos PC. Cortical Features in Child and Adolescent Carriers of Mutant Huntingtin (mHTT). J Huntingtons Dis 2022; 11:173-178. [PMID: 35275555 PMCID: PMC9177765 DOI: 10.3233/jhd-210512] [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: 01/03/2023]
Abstract
BACKGROUND Molecular studies provide evidence that mutant huntingtin (mHTT) affects early cortical development; however, cortical development has not been evaluated in child and adolescent carriers of mHTT. OBJECTIVE To evaluate the impact of mHTT on the developmental trajectories of cortical thickness and surface area. METHODS Children and adolescents (6-18 years) participated in the KidsHD study. mHTT carrier status was determined for research purposes only to classify participants as gene expanded (GE) and gene non-expanded (GNE). Cortical features were extracted from 3T neuroimaging using FreeSurfer. Nonlinear mixed effects models were conducted to determine if age, group, and CAG repeat were associated with cortical morphometry. RESULTS Age-related changes in cortical morphometry were similar across groups. Expanded CAG repeat was not significantly associated with cortical features. CONCLUSION While striatal development is markedly different in GE and GNE, developmental change of the cortex appears grossly normal among child and adolescent carrier of mHTT.
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Affiliation(s)
- Erin E. Reasoner
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Ellen van der Plas
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Douglas R. Langbehn
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Amy L. Conrad
- Stead Family Department of Pediatrics, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Timothy R. Koscik
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Eric A. Epping
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Vincent A. Magnotta
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242,Department of Radiology, University of Iowa Hospital and Clinics, Iowa City, IA 52242
| | - Peggy C. Nopoulos
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA 52242,Stead Family Department of Pediatrics, University of Iowa Hospital and Clinics, Iowa City, IA 52242,Department of Neurology, University of Iowa Hospital and Clinics, Iowa City, IA 52242
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Kaye J, Reisine T, Finkbeiner S. Huntington's disease mouse models: unraveling the pathology caused by CAG repeat expansion. Fac Rev 2021; 10:77. [PMID: 34746930 PMCID: PMC8546598 DOI: 10.12703/r/10-77] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Huntington's disease (HD) is a neurodegenerative disease that results in motor and cognitive dysfunction, leading to early death. HD is caused by an expansion of CAG repeats in the huntingtin gene (HTT). Here, we review the mouse models of HD. They have been used extensively to better understand the molecular and cellular basis of disease pathogenesis as well as to provide non-human subjects to test the efficacy of potential therapeutics. The first and best-studied in vivo rodent model of HD is the R6/2 mouse, in which a transgene containing the promoter and exon 1 fragment of human HTT with 150 CAG repeats was inserted into the mouse genome. R6/2 mice express rapid, robust behavioral pathologies and display a number of degenerative abnormalities in neuronal populations most vulnerable in HD. The first conditional full-length mutant huntingtin (mHTT) mouse model of HD was the bacterial artificial chromosome (BAC) transgenic mouse model of HD (BACHD), which expresses human full-length mHTT with a mixture of 97 CAG-CAA repeats under the control of endogenous HTT regulatory machinery. It has been useful in identifying the role of mHTT in specific neuronal populations in degenerative processes. In the knock-in (KI) model of HD, the expanded human CAG repeats and human exon 1 are inserted into the mouse Htt locus, so a chimera of the full-length mouse protein with the N-terminal human portion is expressed. Many of aspects of the pathology and behavioral deficits in the KI model better mimic disease characteristics found in HD patients than other models. Accordingly, some have proposed that these mice may be preferable models of the disease over others. Indeed, as our understanding of HD advances, so will the design of animal models to test and develop HD therapies.
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Affiliation(s)
- Julia Kaye
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA, USA
| | - Terry Reisine
- Independent Scientific Consultant, Santa Cruz, CA, USA
| | - Steve Finkbeiner
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA, USA
- Taube/Koret Center for Neurodegenerative Disease Research, Gladstone Institutes, San Francisco, CA, USA
- Department of Neurology and Physiology, University of California, San Francisco, CA, USA
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Fallon SJ. Necessary impairments? The downside of functional compensation in frontostriatal circuits in people with presymptomatic Huntingt-on's- di-sease. J Neurol Neurosurg Psychiatry 2021; 92:120-121. [PMID: 33372051 DOI: 10.1136/jnnp-2020-324678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 11/24/2020] [Indexed: 11/03/2022]
Affiliation(s)
- Sean James Fallon
- National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol BS8 2BN, UK .,Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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