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Wang J, Zhang M, Wei X, Yang C, Dai M, Dou Z, Wang Y. Effects of intermittent theta burst stimulation on cognitive and swallowing function in patients with MCI and dysphagia risk: a randomized controlled trial. BMC Geriatr 2025; 25:8. [PMID: 39755599 PMCID: PMC11699646 DOI: 10.1186/s12877-024-05625-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 12/11/2024] [Indexed: 01/06/2025] Open
Abstract
BACKGROUND Mild cognitive impairment (MCI) is a high-risk factor for dementia and dysphagia; therefore, early intervention is vital. The effectiveness of intermittent theta burst stimulation (iTBS) targeting the right dorsal lateral prefrontal cortex (rDLPFC) remains unclear. METHODS Thirty-six participants with MCI were randomly allocated to receive real (n = 18) or sham (n = 18) iTBS. Global cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and executive function was evaluated with the Trail Making Test (TMT), Digital span test (DST) and Stroop color word test (SCWT). Quantitative swallowing measurements were obtained using temporal and kinetic parameters based on the videofluoroscopic swallowing study (VFSS). Resting-state functional magnetic imaging (fMRI) was performed to observe brain plasticity, functional connectivity (FC) values were calculated. All assessments were completed at baseline and two weeks after treatment. Participants received 10 sessions of daily robotic navigated iTBS. RESULTS The MoCA score and the SCWT duration of the real group improved significantly compared with that of the sham group. Temporal parameters of VFSS included 5-ml oral transit time (OTT), 5-ml soft palate elevation time (SET) and 10-ml OTT showed a decreasing trend. However, there was significant improvement in 10-ml OTT when choosing patients with OTT exceeding 1000 ms. FC value between the left middle frontal gyrus and the rDLPFC increased significantly in real stimulation group (p < 0.05 with false discovery rate corrected). We found that baseline FC scores were negatively correlated with the SCWT task duration (r = -0.554, p = 0.017) and with the 10-ml OTT (rho = -0.442, p = 0.027) across all participants. Among those in the iTBS group with a pre-10-ml OTT greater than 1000 ms, we observed a positive correlation between changes in MoCA scores and changes in FC values (r = 0.789, p = 0.035). Furthermore, changes in MoCA scores were positively correlated with changes in 10-ml OTT (r = 0.648, p = 0.031), as determined by Pearson analysis. CONCLUSIONS Navigated iTBS over the rDLPFC has the potential to improve global cognition, response inhibition ability, and certain aspects of swallowing function for patients with MCI at high risk for dysphagia. Changes in FC between right and left DLPFC may underlie the neural mechanisms responsible for the effectiveness of iTBS targeting the right DLPFC.
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Affiliation(s)
- Jie Wang
- Department of Rehabilitation Medicine (Rehabilitation Center), Qilu Hospital of Shandong University, No. 107, Wenhuaxi Road, Jinan , Shandong, 250012, China
- Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou , Guangdong, 510630, China
| | - Mengqing Zhang
- Department of Rehabilitation Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 318, Middle Renmin Road, Guangzhou , Guangdong, 510120, China
| | - Xiaomei Wei
- Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou , Guangdong, 510630, China
| | - Cheng Yang
- Department of Rehabilitation Medicine, Shenzhen Hospital of Southern Medical University, No. 1333, Xinhu Road, Shenzhen , Guangdong, 518101, China
| | - Meng Dai
- Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou , Guangdong, 510630, China
| | - Zulin Dou
- Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou , Guangdong, 510630, China.
| | - Yonghui Wang
- Department of Rehabilitation Medicine (Rehabilitation Center), Qilu Hospital of Shandong University, No. 107, Wenhuaxi Road, Jinan , Shandong, 250012, China.
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Huang L, Liu X, Cheng Y, Qin R, Yang D, Mo Y, Ke Z, Hu Z, Mao C, Chen Y, Li J, Xu Y. Lower cerebrovascular reactivity in prefrontal cortex and weaker negative functional connectivity between prefrontal cortex and insula contribute to white matter hyperintensity-related anxiety or depression. J Affect Disord 2024; 354:526-535. [PMID: 38513774 DOI: 10.1016/j.jad.2024.03.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 03/15/2024] [Accepted: 03/18/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are associated with higher anxiety or depression (A/D) incidence. We investigated associations of WMHs with A/D, cerebrovascular reactivity (CVR), and functional connectivity (FC) to identify potential pathomechanisms. METHODS Participants with WMH (n = 239) and normal controls (NCs, n = 327) were assessed for A/D using the Hamilton Anxiety Rating Scale (HAMA) and Hamilton Depression Rating Scale (HAMD). The CVR and FC maps were constructed from resting-state functional MRI. Two-way analysis of covariance with fixed factors A/D and WMH was performed to identify regional CVR abnormalities. Seed-based FC analyses were then conducted on regions with WMH × A/D interaction effects on CVR. Logistic regression models were constructed to examine the utility of these measurements for identifying WMH-related A/D. RESULTS Participants with WMH related A/D exhibited significantly greater CVR in left insula and lower CVR in right superior frontal gyrus (SFG.R), and HAMA scores were negatively correlated with CVR in SFG.R (r = -0.156, P = 0.016). Insula-SFG.R negative FC was significantly weaker in WMH patients with suspected or definite A/D. A model including CVR plus FC changes identified WMH-associated A/D with highest sensitivity and specificity. In contrast, NCs with A/D exhibited greater CVR in prefrontal cortex and stronger FC within the default mode network (DMN) and between the DMN and executive control network. LIMITATIONS This cross-sectional study requires validation by longitudinal and laboratory studies. CONCLUSIONS Impaired CVR in SFG.R and weaker negative FC between prefrontal cortex and insula may contribute to WMH-related A/D, providing potential diagnostic imaging markers and therapeutic targets.
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Affiliation(s)
- Lili Huang
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Xin Liu
- Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210008, China; Nanjing University of Science and Technology, 210094 Xuanwu District, Nanjing, China
| | - Yue Cheng
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Dan Yang
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Yuting Mo
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Zheqi Hu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Chenglu Mao
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Ying Chen
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China
| | - Jingwei Li
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China.
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210008, China; Department of Neurology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing 210008, China; Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing 210008, China; Jiangsu Provincial Key Discipline of Neurology, Nanjing 210008, China; Nanjing Neurology Medical Center, Nanjing 210008, China.
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Does Hemispheric Asymmetry Reduction in Older Adults in Motor Cortex Reflect Compensation? J Neurosci 2021; 41:9361-9373. [PMID: 34580164 PMCID: PMC8580140 DOI: 10.1523/jneurosci.1111-21.2021] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/04/2021] [Accepted: 09/09/2021] [Indexed: 11/30/2022] Open
Abstract
Older adults tend to display greater brain activation in the nondominant hemisphere during even basic sensorimotor responses. It is debated whether this hemispheric asymmetry reduction in older adults (HAROLD) reflects a compensatory mechanism. Across two independent fMRI experiments involving adult life span human samples (N = 586 and N = 81, approximately half female) who performed right-hand finger responses, we distinguished between these hypotheses using behavioral and multivariate Bayes (MVB) decoding approaches. Standard univariate analyses replicated a HAROLD pattern in motor cortex, but in and out of scanner behavioral results both demonstrated evidence against a compensatory relationship in that reaction time measures of task performance in older adults did not relate to ipsilateral motor activity. Likewise, MVB showed that this increased ipsilateral activity in older adults did not carry additional information, and if anything, combining ipsilateral with contralateral activity patterns reduced action decoding in older adults (at least in experiment 1). These results contradict the hypothesis that HAROLD is compensatory and instead suggest that the age-related ipsilateral hyperactivation is nonspecific, consistent with alternative hypotheses about age-related reductions in neural efficiency/differentiation or interhemispheric inhibition. SIGNIFICANCE STATEMENT A key goal in the cognitive neuroscience of aging is to provide a mechanistic explanation of how brain–behavior relationships change with age. One interpretation of the common finding that task-based hemispheric activity becomes more symmetrical in older adults is that this shift reflects a compensatory mechanism, with the nondominant hemisphere needing to help out with computations normally performed by the dominant hemisphere. Contrary to this view, our behavioral and brain data indicate that the additional activity in ipsilateral motor cortex in older adults is not reflective of better task performance nor better neural representations of finger actions.
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Xing Y, Yang J, Zhou A, Wang F, Tang Y, Jia J. Altered brain activity mediates the relationship between white matter hyperintensity severity and cognition in older adults. Brain Imaging Behav 2021; 16:899-908. [PMID: 34671890 DOI: 10.1007/s11682-021-00564-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2021] [Indexed: 11/26/2022]
Abstract
White matter hyperintensities (WMHs) on magnetic resonance imaging are commonly found in older adults. The mechanisms underpinning the dose-dependent association between WMH severity and cognition are not well understood. This study aimed to investigate how brain activity changes with WMH severity, and if altered brain activity mediates the relationship between WMH and cognitive function. A total of 35 participants with moderate to severe WMHs (Fazekas grade 2 or 3) and 34 participants with mild WMHs (Fazekas grade 1), who were cognitively normal, were included. Resting-state brain function was analyzed using the amplitude of low-frequency fluctuation (ALFF). A mean fractional anisotropy (FA) value of 20 tract-specific regions of interest was calculated. Mediation analysis was used to assess whether ALFF values mediated the relationship between WMH and cognition. The results showed that compared to those with mild WMHs, participants with confluent WMHs had worse memory and naming ability and also had increased ALFF in the right middle frontal gyrus and decreased ALFF in the left middle occipital gyrus. After controlling for age, gender, education and apolipoprotein E (ApoE) ε4 status, increased ALFF in the right prefrontal cortex was associated with worse immediate recall and recognition, and ALFF values mediated the relationships between both Fazekas scores and FA values and memory. In conclusion, our study suggests that cognitively normal adults with high WMH load exhibit subclinical cognitive dysfunction and altered spontaneous brain activity. The mediating effects of brain activity help to shed light on our understanding of the relationship between WMHs and cognition.
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Affiliation(s)
- Yi Xing
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianwei Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
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Overman MJ, Zamboni G, Butler C, Ahmed S. Splenial white matter integrity is associated with memory impairments in posterior cortical atrophy. Brain Commun 2021; 3:fcab060. [PMID: 34007964 PMCID: PMC8112963 DOI: 10.1093/braincomms/fcab060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/09/2020] [Accepted: 02/23/2021] [Indexed: 11/22/2022] Open
Abstract
Posterior cortical atrophy is an atypical form of Alzheimer’s disease characterized by visuospatial impairments and predominant tissue loss in the posterior parieto-occipital and temporo-occipital cortex. Whilst episodic memory is traditionally thought to be relatively preserved in posterior cortical atrophy, recent work indicates that memory impairments form a common clinical symptom in the early stages of the disease. Neuroimaging studies suggest that memory dysfunction in posterior cortical atrophy may originate from atrophy and functional hypoconnectivity of parietal cortex. The structural connectivity patterns underpinning these memory impairments, however, have not been investigated. This line of inquiry is of particular interest, as changes in white matter tracts of posterior cortical atrophy patients have been shown to be more extensive than expected based on posterior atrophy of grey matter. In this cross-sectional diffusion tensor imaging MRI study, we examine the relationship between white matter microstructure and verbal episodic memory in posterior cortical atrophy. We assessed episodic memory performance in a group of posterior cortical atrophy patients (n = 14) and a group of matched healthy control participants (n = 19) using the Free and Cued Selective Reminding Test with Immediate Recall. Diffusion tensor imaging measures were obtained for 13 of the posterior cortical atrophy patients and a second control group of 18 healthy adults. Patients and healthy controls demonstrated similar memory encoding performance, indicating that learning of verbal information was preserved in posterior cortical atrophy. However, retrieval of verbal items was significantly impaired in the patient group compared with control participants. As expected, tract-based spatial statistics analyses showed widespread reductions of white matter integrity in posterior cortical regions of patients compared with healthy adults. Correlation analyses indicated that poor verbal retrieval in the patient group was specifically associated with microstructural damage of the splenium of the corpus callosum. Post-hoc tractography analyses in healthy controls demonstrated that this splenial region was connected to thalamic radiations and the retrolenticular part of the internal capsule. These results provide insight into the brain circuits that underlie memory impairments in posterior cortical atrophy. From a cognitive perspective, we propose that the association between splenial integrity and memory dysfunction could arise indirectly via disruption of attentional processes. We discuss implications for the clinical phenotype and development of therapeutic aids for cognitive impairment in posterior cortical atrophy.
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Affiliation(s)
- Margot Juliëtte Overman
- Research Institute for the Care of Older People (RICE), Bath BA1 3NG, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK
| | - Giovanna Zamboni
- Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Università di Modena e Reggio Emilia, Modena, Italy.,Center for Neuroscience and Neurotechnology, Università di Modena e Reggio Emilia, Modena, Italy.,Nuffield Department of Clinical Neuroscience, University of Oxford, Oxfordshire OX3 9DU, UK
| | - Christopher Butler
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxfordshire OX3 9DU, UK.,Department of Brain Sciences, Imperial College London, London SW7 2AZ, UK.,Departamento de Neurología, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Samrah Ahmed
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxfordshire OX3 9DU, UK.,School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ES, UK
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Alloza C, Blesa-Cábez M, Bastin ME, Madole JW, Buchanan CR, Janssen J, Gibson J, Deary IJ, Tucker-Drob EM, Whalley HC, Arango C, McIntosh AM, Cox SR, Lawrie SM. Psychotic-like experiences, polygenic risk scores for schizophrenia, and structural properties of the salience, default mode, and central-executive networks in healthy participants from UK Biobank. Transl Psychiatry 2020; 10:122. [PMID: 32341335 PMCID: PMC7186224 DOI: 10.1038/s41398-020-0794-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 03/11/2020] [Accepted: 03/25/2020] [Indexed: 02/07/2023] Open
Abstract
Schizophrenia is a highly heritable disorder with considerable phenotypic heterogeneity. Hallmark psychotic symptoms can be considered as existing on a continuum from non-clinical to clinical populations. Assessing genetic risk and psychotic-like experiences (PLEs) in non-clinical populations and their associated neurobiological underpinnings can offer valuable insights into symptom-associated brain mechanisms without the potential confounds of the effects of schizophrenia and its treatment. We leveraged a large population-based cohort (UKBiobank, N = 3875) including information on PLEs (obtained from the Mental Health Questionnaire (MHQ); UKBiobank Category: 144; N auditory hallucinations = 55, N visual hallucinations = 79, N persecutory delusions = 16, N delusions of reference = 13), polygenic risk scores for schizophrenia (PRSSZ) and multi-modal brain imaging in combination with network neuroscience. Morphometric (cortical thickness, volume) and water diffusion (fractional anisotropy) properties of the regions and pathways belonging to the salience, default-mode, and central-executive networks were computed. We hypothesized that these anatomical concomitants of functional dysconnectivity would be negatively associated with PRSSZ and PLEs. PRSSZ was significantly associated with a latent measure of cortical thickness across the salience network (r = -0.069, p = 0.010) and PLEs showed a number of significant associations, both negative and positive, with properties of the salience and default mode networks (involving the insular cortex, supramarginal gyrus, and pars orbitalis, pFDR < 0.050); with the cortical thickness of the insula largely mediating the relationship between PRSSZ and auditory hallucinations. Generally, these results are consistent with the hypothesis that higher genetic liability for schizophrenia is related to subtle disruptions in brain structure and may predispose to PLEs even among healthy participants. In addition, our study suggests that networks engaged during auditory hallucinations show structural associations with PLEs in the general population.
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Affiliation(s)
- C Alloza
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK.
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
- Ciber del Area de Salud Mental (CIBERSAM), Madrid, Spain.
| | - M Blesa-Cábez
- MRC Centre for Reproductive Health, The University of Edinburgh, Edinburgh, UK
| | - M E Bastin
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - J W Madole
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - C R Buchanan
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), Edinburgh, UK
| | - J Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- Ciber del Area de Salud Mental (CIBERSAM), Madrid, Spain
| | - J Gibson
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - E M Tucker-Drob
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - H C Whalley
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - C Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- Ciber del Area de Salud Mental (CIBERSAM), Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - A M McIntosh
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - S R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), Edinburgh, UK
| | - S M Lawrie
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
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Soloveva MV, Jamadar SD, Velakoulis D, Poudel G, Georgiou-Karistianis N. Brain compensation during visuospatial working memory in premanifest Huntington's disease. Neuropsychologia 2020; 136:107262. [DOI: 10.1016/j.neuropsychologia.2019.107262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 11/04/2019] [Accepted: 11/11/2019] [Indexed: 01/21/2023]
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8
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Chen H, Su F, Ye Q, Wang Z, Shu H, Bai F. The Dose-Dependent Effects of Vascular Risk Factors on Dynamic Compensatory Neural Processes in Mild Cognitive Impairment. Front Aging Neurosci 2018; 10:131. [PMID: 29867442 PMCID: PMC5951955 DOI: 10.3389/fnagi.2018.00131] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 04/20/2018] [Indexed: 01/14/2023] Open
Abstract
Background/Objectives: Mild cognitive impairment (MCI) has been associated with risk for Alzheimer's Disease (AD). Previous investigations have suggested that vascular risk factors (VRFs) were associated with cognitive decline and AD pathogenesis, and the intervention of VRFs may be a possible way to prevent dementia. However, in MCI, little is known about the potential impacts of VRFs on neural networks and their neural substrates, which may be a neuroimaging biomarker of the disease progression. Methods: 128 elderly Han Chinese participants (67 MCI subjects and 61 matched normal elderly) with or without VRFs (hypertension, diabetes mellitus, hypercholesterolemia, smoking and alcohol drinking) underwent the resting-state functional magnetic resonance imaging (fMRI) and neuropsychological tests. We obtained the default mode network (DMN) to identify alterations in MCI with the varying number of the VRF and analyzed the significant correlation with behavioral performance. Results: The effects of VRF on the DMN were primarily in bilateral dorsolateral prefrontal cortex (DLPFC) (i.e., middle frontal gyrus). Normal elderly showed the gradually increased functional activity of DLPFC, while a fluctuant activation of DLPFC was displayed in MCI with the growing number of the VRF. Interestingly, the left DLPFC further displayed significantly dynamic correlation with executive function as the variation of VRF loading. Initial level of compensation was observed in normal aging and none-vascular risk factor (NVRF) MCI, while these compensatory neural processes were suppressed in One-VRF MCI and were subsequently re-aroused in Over-One-VRF MCI. Conclusions: These findings suggested that the dose-dependent effects of VRF on DLPFC were highlighted in MCI, and the dynamic compensatory neural processes that fluctuated along with variations of VRF loading could be key role in the progression of MCI.
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Affiliation(s)
- Haifeng Chen
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Fan Su
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Qing Ye
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Hao Shu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Feng Bai
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
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9
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Minkova L, Gregory S, Scahill RI, Abdulkadir A, Kaller CP, Peter J, Long JD, Stout JC, Reilmann R, Roos RA, Durr A, Leavitt BR, Tabrizi SJ, Klöppel S. Cross-sectional and longitudinal voxel-based grey matter asymmetries in Huntington's disease. Neuroimage Clin 2017; 17:312-324. [PMID: 29527479 PMCID: PMC5842644 DOI: 10.1016/j.nicl.2017.10.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 10/18/2017] [Accepted: 10/23/2017] [Indexed: 11/22/2022]
Abstract
Huntington's disease (HD) is a progressive neurodegenerative disorder that can be genetically confirmed with certainty decades before clinical onset. This allows the investigation of functional and structural changes in HD many years prior to disease onset, which may reveal important mechanistic insights into brain function, structure and organization in general. While regional atrophy is present at early stages of HD, it is still unclear if both hemispheres are equally affected by neurodegeneration and how the extent of asymmetry affects domain-specific functional decline. Here, we used whole-brain voxel-based analysis to investigate cross-sectional and longitudinal hemispheric asymmetries in grey matter (GM) volume in 56 manifest HD (mHD), 83 pre-manifest HD (preHD), and 80 healthy controls (HC). Furthermore, a regression analysis was used to assess the relationship between neuroanatomical asymmetries and decline in motor and cognitive measures across the disease spectrum. The cross-sectional analysis showed striatal leftward-biased GM atrophy in mHD, but not in preHD, relative to HC. Longitudinally, no net 36-month change in GM asymmetries was found in any of the groups. In the regression analysis, HD-related decline in quantitative-motor (Q-Motor) performance was linked to lower GM volume in the left superior parietal cortex. These findings suggest a stronger disease effect targeting the left hemisphere, especially in those with declining motor performance. This effect did not change over a period of three years and may indicate a compensatory role of the right hemisphere in line with recent functional imaging studies.
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Affiliation(s)
- Lora Minkova
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Freiburg, Germany; Freiburg Brain Imaging Center, Medical Center - University of Freiburg, Germany; Department of Psychology, Laboratory for Biological and Personality Psychology, University of Freiburg, Freiburg, Germany.
| | - Sarah Gregory
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
| | - Rachael I Scahill
- Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK
| | - Ahmed Abdulkadir
- Department of Computer Science, University of Freiburg, Freiburg, Germany; University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Christoph P Kaller
- Freiburg Brain Imaging Center, Medical Center - University of Freiburg, Germany; Department of Neurology, Medical Center - University of Freiburg, Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Freiburg, Germany
| | - Jessica Peter
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Freiburg, Germany; University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA; Department of Biostatistics, College of Public Health, The University of Iowa, Iowa City, IA, USA
| | - Julie C Stout
- School of Psychology and Psychiatry, Monash University, Victoria, Australia
| | - Ralf Reilmann
- George-Huntington-Institute, Münster, Germany; Department of Radiology, University of Münster, Münster, Germany; Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Raymund A Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, Netherlands
| | - Alexandra Durr
- APHP Department of Genetics, ICM (Brain and Spine Institute) Pitié-Salpêtrière University Hospital Paris, France
| | - Blair R Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK
| | - Stefan Klöppel
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Freiburg, Germany; University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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10
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Yap KH, Ung WC, Ebenezer EGM, Nordin N, Chin PS, Sugathan S, Chan SC, Yip HL, Kiguchi M, Tang TB. Visualizing Hyperactivation in Neurodegeneration Based on Prefrontal Oxygenation: A Comparative Study of Mild Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Controls. Front Aging Neurosci 2017; 9:287. [PMID: 28919856 PMCID: PMC5585736 DOI: 10.3389/fnagi.2017.00287] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 08/17/2017] [Indexed: 01/12/2023] Open
Abstract
Background: Cognitive performance is relatively well preserved during early cognitive impairment owing to compensatory mechanisms. Methods: We explored functional near-infrared spectroscopy (fNIRS) alongside a semantic verbal fluency task (SVFT) to investigate any compensation exhibited by the prefrontal cortex (PFC) in Mild Cognitive Impairment (MCI) and mild Alzheimer's disease (AD). In addition, a group of healthy controls (HC) was studied. A total of 61 volunteers (31 HC, 12 patients with MCI and 18 patients with mild AD) took part in the present study. Results: Although not statistically significant, MCI exhibited a greater mean activation of both the right and left PFC, followed by HC and mild AD. Analysis showed that in the left PFC, the time taken for HC to achieve the activation level was shorter than MCI and mild AD (p = 0.0047 and 0.0498, respectively); in the right PFC, mild AD took a longer time to achieve the activation level than HC and MCI (p = 0.0469 and 0.0335, respectively); in the right PFC, HC, and MCI demonstrated a steeper slope compared to mild AD (p = 0.0432 and 0. 0107, respectively). The results were, however, not significant when corrected by the Bonferroni-Holm method. There was also found to be a moderately positive correlation (R = 0.5886) between the oxygenation levels in the left PFC and a clinical measure [Mini-Mental State Examination (MMSE) score] in MCI subjects uniquely. Discussion: The hyperactivation in MCI coupled with a better SVFT performance may suggest neural compensation, although it is not known to what degree hyperactivation manifests as a potential indicator of compensatory mechanisms. However, hypoactivation plus a poorer SVFT performance in mild AD might indicate an inability to compensate due to the degree of structural impairment. Conclusion: Consistent with the scaffolding theory of aging and cognition, the task-elicited hyperactivation in MCI might reflect the presence of compensatory mechanisms and hypoactivation in mild AD could reflect an inability to compensate. Future studies will investigate the fNIRS parameters with a larger sample size, and their validity as prognostic biomarkers of neurodegeneration.
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Affiliation(s)
- Kah Hui Yap
- Medicine Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | - Wei Chun Ung
- Centre for Intelligent Signal and Imaging Research, Universiti Teknologi PetronasSeri Iskandar, Malaysia
| | - Esther G M Ebenezer
- Medicine Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | - Nadira Nordin
- Centre for Intelligent Signal and Imaging Research, Universiti Teknologi PetronasSeri Iskandar, Malaysia
| | - Pui See Chin
- Medicine Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | - Sandheep Sugathan
- Community Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | - Sook Ching Chan
- Community Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | - Hung Loong Yip
- Community Based Department, Royal College of Medicine Perak, Universiti Kuala LumpurKuala Lumpur, Malaysia
| | | | - Tong Boon Tang
- Centre for Intelligent Signal and Imaging Research, Universiti Teknologi PetronasSeri Iskandar, Malaysia
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11
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Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. Neuroimage 2017; 156:394-402. [PMID: 28549795 PMCID: PMC5554782 DOI: 10.1016/j.neuroimage.2017.05.052] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 05/15/2017] [Accepted: 05/23/2017] [Indexed: 11/21/2022] Open
Abstract
Cerebral grey and white matter MRI parameters are related to general intelligence and some specific cognitive abilities. Less is known about how structural brain measures relate specifically to verbal processing abilities. We used multi-modal structural MRI to investigate the grey matter (GM) and white matter (WM) correlates of verbal ability in 556 healthy older adults (mean age = 72.68 years, s.d. = .72 years). Structural equation modelling was used to decompose verbal performance into two latent factors: a storage factor that indexed participants' ability to store representations of verbal knowledge and an executive factor that measured their ability to regulate their access to this information in a flexible and task-appropriate manner. GM volumes and WM fractional anisotropy (FA) for components of the language/semantic network were used as predictors of these verbal ability factors. Volume of the ventral temporal cortices predicted participants' storage scores (β = .12, FDR-adjusted p = .04), consistent with the theory that this region acts as a key substrate of semantic knowledge. This effect was mediated by childhood IQ, suggesting a lifelong association between ventral temporal volume and verbal knowledge, rather than an effect of cognitive decline in later life. Executive ability was predicted by FA fractional anisotropy of the arcuate fasciculus (β = .19, FDR-adjusted p = .001), a major language-related tract implicated in speech production. This result suggests that this tract plays a role in the controlled retrieval of word knowledge during speech. At a more general level, these data highlight a basic distinction between information representation, which relies on the accumulation of tissue in specialised GM regions, and executive control, which depends on long-range WM pathways for efficient communication across distributed cortical networks.
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12
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Luethi MS, Friese M, Binder J, Boesiger P, Luechinger R, Rasch B. Motivational incentives lead to a strong increase in lateral prefrontal activity after self-control exertion. Soc Cogn Affect Neurosci 2016; 11:1618-26. [PMID: 27217108 PMCID: PMC5040914 DOI: 10.1093/scan/nsw073] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 05/06/2016] [Accepted: 05/14/2016] [Indexed: 11/12/2022] Open
Abstract
Self-control is key to success in life. Initial acts of self-control temporarily impair subsequent self-control performance. Why such self-control failures occur is unclear, with prominent models postulating a loss of a limited resource vs a loss of motivation, respectively. Here, we used functional magnetic resonance imaging to identify the neural correlates of motivation-induced benefits on self-control. Participants initially exerted or did not exert self-control. In a subsequent Stroop task, participants performed worse after exerting self-control, but not if they were motivated to perform well by monetary incentives. On the neural level, having exerted self-control resulted in decreased activation in the left inferior frontal gyrus. Increasing motivation resulted in a particularly strong activation of this area specifically after exerting self-control. Thus, after self-control exertion participants showed more prefrontal neural activity without improving performance beyond baseline level. These findings suggest that impaired performance after self-control exertion may not exclusively be due to a loss of motivation.
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Affiliation(s)
- Matthias S Luethi
- Department of Psychology, University of Zurich, Zurich, Switzerland Department of Psychology, University of Basel, Basel, Switzerland
| | - Malte Friese
- Department of Psychology, Saarland University, Saarbrücken, Germany
| | - Julia Binder
- Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Peter Boesiger
- Institute for Biomedical Engineering, Swiss Federal Institute of Technology Zurich & University of Zurich, Zurich, Switzerland
| | - Roger Luechinger
- Institute for Biomedical Engineering, Swiss Federal Institute of Technology Zurich & University of Zurich, Zurich, Switzerland
| | - Björn Rasch
- Department of Psychology, University of Zurich, Zurich, Switzerland Department of Psychology, University of Fribourg, Fribourg, Switzerland
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13
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Minkova L, Scheller E, Peter J, Abdulkadir A, Kaller CP, Roos RA, Durr A, Leavitt BR, Tabrizi SJ, Klöppel S. Detection of Motor Changes in Huntington's Disease Using Dynamic Causal Modeling. Front Hum Neurosci 2015; 9:634. [PMID: 26635585 PMCID: PMC4658414 DOI: 10.3389/fnhum.2015.00634] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 11/06/2015] [Indexed: 11/17/2022] Open
Abstract
Deficits in motor functioning are one of the hallmarks of Huntington's disease (HD), a genetically caused neurodegenerative disorder. We applied functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to assess changes that occur with disease progression in the neural circuitry of key areas associated with executive and cognitive aspects of motor control. Seventy-seven healthy controls, 62 pre-symptomatic HD gene carriers (preHD), and 16 patients with manifest HD symptoms (earlyHD) performed a motor finger-tapping fMRI task with systematically varying speed and complexity. DCM was used to assess the causal interactions among seven pre-defined regions of interest, comprising primary motor cortex, supplementary motor area (SMA), dorsal premotor cortex, and superior parietal cortex. To capture heterogeneity among HD gene carriers, DCM parameters were entered into a hierarchical cluster analysis using Ward's method and squared Euclidian distance as a measure of similarity. After applying Bonferroni correction for the number of tests, DCM analysis revealed a group difference that was not present in the conventional fMRI analysis. We found an inhibitory effect of complexity on the connection from parietal to premotor areas in preHD, which became excitatory in earlyHD and correlated with putamen atrophy. While speed of finger movements did not modulate the connection from caudal to pre-SMA in controls and preHD, this connection became strongly negative in earlyHD. This second effect did not survive correction for multiple comparisons. Hierarchical clustering separated the gene mutation carriers into three clusters that also differed significantly between these two connections and thereby confirmed their relevance. DCM proved useful in identifying group differences that would have remained undetected by standard analyses and may aid in the investigation of between-subject heterogeneity.
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Affiliation(s)
- Lora Minkova
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg Freiburg, Germany ; Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany ; Laboratory for Biological and Personality Psychology, Department of Psychology, University of Freiburg Freiburg, Germany
| | - Elisa Scheller
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg Freiburg, Germany ; Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany
| | - Jessica Peter
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg Freiburg, Germany ; Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany
| | - Ahmed Abdulkadir
- Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany ; Department of Computer Science, University of Freiburg Freiburg, Germany
| | - Christoph P Kaller
- Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany ; Department of Neurology, University Medical Center Freiburg Freiburg, Germany ; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg Freiburg, Germany
| | - Raymund A Roos
- Department of Neurology, Leiden University Medical Centre Leiden, Netherlands
| | - Alexandra Durr
- Department of Genetics and Cytogenetics, Pitié-Salpêtrière University Hospital Paris, France
| | - Blair R Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia Vancouver, Canada
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, Institute of Neurology, University College London London, UK
| | - Stefan Klöppel
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg Freiburg, Germany ; Freiburg Brain Imaging Center, University Medical Center Freiburg Freiburg, Germany ; Department of Neurology, University Medical Center Freiburg Freiburg, Germany
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14
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Schiefer J. Compensation in the course of Huntington's disease - More than just a hypothesis? EBioMedicine 2015; 2:1286-7. [PMID: 26629511 PMCID: PMC4634843 DOI: 10.1016/j.ebiom.2015.09.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 09/15/2015] [Indexed: 11/23/2022] Open
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