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Lu Q, Wang Y, Qu B, Wang C, Su X, Wang S, Xing Y, Qin W, Tang Y, Zhang N. Structural and Functional Projections of the Nucleus Basalis of Meynert and Their Changes After Cognitive Training in Individuals With Mild Cognitive Impairment. CNS Neurosci Ther 2024; 30:e70194. [PMID: 39723443 DOI: 10.1111/cns.70194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 12/04/2024] [Accepted: 12/12/2024] [Indexed: 12/28/2024] Open
Abstract
AIMS The nucleus basalis of Meynert (NBM) is a major source of cholinergic innervation in the central nervous system. We aimed to investigate the characteristics of structural and functional alterations in the NBM and its projections in patients with mild cognitive impairment (MCI) and the effects of computerized cognitive training (CCT). METHODS Forty-five patients with MCI and 45 cognitively unimpaired controls (CUCs) were recruited. NBM volume, mean diffusivity (MD) of NBM white matter (WM) projections, and functional connectivity (FC) of projections of the NBM were measured with T1-weighted imaging, diffusion tensor imaging (DTI), and resting-state functional magnetic resonance imaging (rs-fMRI). Thirty-six MCI patients were randomly assigned to receive CCT or control training. The effects of CCT on the neuropsychological measures and MRI properties were analyzed with a linear mixed model (LMM). RESULTS We detected that compared with the CUCs, the MCI patients had a reduced volume of the NBM and a greater MD of both cholinergic pathways. Increased MD values of both pathways were related to lower scores of global cognition, processing speed and attention in all participants. After CCT intervention, significant group × timepoint effects on score of the Backward Digit Span and the FC between NBM and right putamen were observed in the CCT group compared to the control group. CONCLUSION NBM atrophy and WM pathway disruption occurred in MCI patients and were correlated with cognitive impairment. Working memory and the FC between NBM and right putamen could be improved by cognitive training.
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Affiliation(s)
- Qingzheng Lu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yu Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Bingqian Qu
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Caixia Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Department of Neurology, Baotou Central Hospital, Baotou, China
| | - Xiao Su
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Siqi Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yi Xing
- Department of Neurology and Innovation Center for Neurological Disorders, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yi Tang
- Department of Neurology and Innovation Center for Neurological Disorders, Xuanwu Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, China
| | - Nan Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
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Li Y, Yang L, Hao D, Chen Y, Ye-Lin Y, Li CSR, Li G. Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking. Brain Sci 2024; 14:610. [PMID: 38928610 PMCID: PMC11201596 DOI: 10.3390/brainsci14060610] [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: 05/02/2024] [Revised: 06/15/2024] [Accepted: 06/16/2024] [Indexed: 06/28/2024] Open
Abstract
Alcohol misuse is associated with altered punishment and reward processing. Here, we investigated neural network responses to reward and punishment and the molecular profiles of the connectivity features predicting alcohol use severity in young adults. We curated the Human Connectome Project data and employed connectome-based predictive modeling (CPM) to examine how functional connectivity (FC) features during wins and losses are associated with alcohol use severity, quantified by Semi-Structured Assessment for the Genetics of Alcoholism, in 981 young adults. We combined the CPM findings and the JuSpace toolbox to characterize the molecular profiles of the network connectivity features of alcohol use severity. The connectomics predicting alcohol use severity appeared specific, comprising less than 0.12% of all features, including medial frontal, motor/sensory, and cerebellum/brainstem networks during punishment processing and medial frontal, fronto-parietal, and motor/sensory networks during reward processing. Spatial correlation analyses showed that these networks were associated predominantly with serotonergic and GABAa signaling. To conclude, a distinct pattern of network connectivity predicted alcohol use severity in young adult drinkers. These "neural fingerprints" elucidate how alcohol misuse impacts the brain and provide evidence of new targets for future intervention.
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Affiliation(s)
- Yashuang Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
| | - Lin Yang
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
| | - Dongmei Hao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA (C.-S.R.L.)
| | - Yiyao Ye-Lin
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
- Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Chiang-Shan Ray Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA (C.-S.R.L.)
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06511, USA
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06511, USA
| | - Guangfei Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 100 Pingleyuan, Beijing 100124, China; (Y.L.)
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
- BJUT-UPV Joint Research Laboratory in Biomedical Engineering, 46022 Valencia, Spain
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Yang T, Guo Z, Li J, Zhu H, Cao Y, Ding Y, Liu X. Abnormally decreased functional connectivity of the right nucleus basalis of Meynert in Alzheimer's disease patients with depression symptoms. Biol Psychol 2024; 188:108785. [PMID: 38527571 DOI: 10.1016/j.biopsycho.2024.108785] [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: 09/26/2023] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 03/27/2024]
Abstract
Dysfunction of the basal forebrain is the main pathological feature in patients with Alzheimer's disease (AD). The aim of this study was to explore whether depressive symptoms cause changes in the functional network of the basal forebrain in AD patients. We collected MRI data from depressed AD patients (n = 24), nondepressed AD patients (n = 14) and healthy controls (n = 20). Resting-state functional magnetic resonance imaging data and functional connectivity analysis were used to study the characteristics of the basal forebrain functional network of the three groups of participants. The functional connectivity differences among the three groups were compared using ANCOVA and post hoc analyses. Compared to healthy controls, depressed AD patients showed reduced functional connectivity between the right nucleus basalis of Meynert and the left supramarginal gyrus and the supplementary motor area. These results increase our understanding of the neural mechanism of depressive symptoms in AD patients.
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Affiliation(s)
- Ting Yang
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Zhongwei Guo
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China
| | - Jiapeng Li
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China
| | - Hong Zhu
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China
| | - Yulin Cao
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China
| | - Yanping Ding
- Air Force Health Care Center for Special Services, Hangzhou 310007, China
| | - Xiaozheng Liu
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou 325027, China.
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4
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Sui H, Yang J, Xiang H, Yan C. Combining ADC values in DWI with rCBF values in arterial spin labeling (ASL) for the diagnosis of mild cognitive impairment (MCI). Medicine (Baltimore) 2023; 102:e34979. [PMID: 37713879 PMCID: PMC10508430 DOI: 10.1097/md.0000000000034979] [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: 05/24/2023] [Accepted: 08/07/2023] [Indexed: 09/17/2023] Open
Abstract
We aimed to investigate the role of combined apparent diffusion coefficient (ADC) values and relative cerebral blood flow (rCBF) values in the diagnosis of mild cognitive impairment (MCI) patients. The present prospective research enrolled 156 MCI patients and 58 healthy elderly people who came to our hospital from January 2021 to February 2023. T1W, T2W, diffusion-weighted imaging, and arterial spin labeling sequences were performed on all subjects, and ADC values and rCBF values were measured at the workstation. Clinical and demographic data of all patients were collected while mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) scores were used to assess patients' cognitive abilities. The MCI group had significantly lower rCBF values in the left frontal lobe, left occipital lobe, right frontal lobe, and right occipital lobe than the HC group. The ADC values in the left frontal lobe as well as the right frontal lobe were remarkably elevated in the MCI group than in the HC group. MoCA and MMSE scores were positively correlated with rCBF values in the left frontal, right frontal, left occipital, and right occipital lobes and negatively correlated with ADC values in the left and right frontal lobes. Combined ADC values and rCBF values from the left frontal lobe for the diagnosis of MCI had a higher sensitivity and specificity with the AUC was 0.877, sensitivity 81.0%, specificity 82.7%. Additionally, pressure fasting plasma glucose, ADC of the left frontal lobe, right frontal lobe, rCBF of left frontal lobe and rCBF of left frontal lobe were the risk factors of patients with MCI. In summary, our results indicated that the ADC values and rCBF values were changed in MCI group compared to HC group and correlated with MMSE and MoCA scores.
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Affiliation(s)
- Haijing Sui
- Department of Radiology, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Juan Yang
- Department of Neurology, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Honggang Xiang
- Department of Surgery, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Chenggong Yan
- Department of Radiology, Shanghai Pudong New Area Hospital of Traditional Chinese Medicine, Shanghai, China
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Sarpal DK, Blazer A, Wilson JD, Calabro FJ, Foran W, Kahn CE, Luna B, Chengappa KNR. Relationship between plasma clozapine/N-desmethylclozapine and changes in basal forebrain-dorsolateral prefrontal cortex coupling in treatment-resistant schizophrenia. Schizophr Res 2022; 243:170-177. [PMID: 35381515 PMCID: PMC9189030 DOI: 10.1016/j.schres.2022.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 03/07/2022] [Accepted: 03/27/2022] [Indexed: 10/18/2022]
Abstract
Clozapine (CLZ) demonstrates a unique clinical efficacy relative to other antipsychotic drugs. Previous work has linked the plasma ratio of CLZ and its major metabolite, N-desmethylclozapine (NDMC), to an inverse relationship with cognition via putative action on the cholinergic system. However, neuroimaging correlates of CLZ/NDMC remain unknown. Here, we examined changes in basal forebrain functional connectivity with the dorsolateral prefrontal cortex, and secondly, cognition in relation to the CLZ/NDMC ratio. A cohort of nineteen chronically ill participants with treatment-resistant schizophrenia (TRS) undergoing 12 weeks of CLZ treatment were included. Measures of cognition and plasma CLZ/NDMC ratios were obtained in addition to resting-state functional neuroimaging scans, captured at baseline and after 12 weeks of CLZ treatment. We observed a significant correlation between basal forebrain-DLPFC connectivity and CLZ/NDMC ratios across CLZ treatment (p = 0.02). Consistent with previous findings, we also demonstrate a positive relationship between CLZ/NDMC ratio and working memory (p = 0.03). These findings may reflect the action of CLZ and NDMC on the muscarinic cholinergic system, highlighting a possible neural correlate of cognition across treatment.
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Affiliation(s)
- Deepak K. Sarpal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Annie Blazer
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - James D. Wilson
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Finnegan J. Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Charles E. Kahn
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - KN Roy Chengappa
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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Serra L, D'Amelio M, Esposito S, Di Domenico C, Koch G, Marra C, Mercuri NB, Caltagirone C, Artusi CA, Lopiano L, Cercignani M, Bozzali M. Ventral Tegmental Area Disconnection Contributes Two Years Early to Correctly Classify Patients Converted to Alzheimer's Disease: Implications for Treatment. J Alzheimers Dis 2021; 82:985-1000. [PMID: 34120905 DOI: 10.3233/jad-210171] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recent cross-sectional studies highlighted the loss of dopaminergic neurons in the ventral tegmental area (VTA) as an early pathophysiological event in Alzheimer's disease (AD). OBJECTIVE In this study, we longitudinally investigated by resting-state fMRI (rs-fMRI) a cohort of patients with mild cognitive impairment (MCI) due to AD to evaluate the impact of VTA disconnection in predicting the conversion to AD. METHODS A cohort of 35 patients with MCI due to AD were recruited and followed-up for 24 months. They underwent cognitive evaluation and rs-fMRI to assess VTA connectivity at baseline and at follow-up. RESULTS At 24-month follow-up, 16 out of 35 patients converted to AD. Although converters and non-converters to AD did not differ in demographic and behavioral characteristics at baseline, the first group showed a significant reduction of VTA-driven connectivity in the posterior cingulate and precentral cortex. This pattern of additional disconnection in MCI-Converters compared to non-converters remained substantially unchanged at 24-month follow-up. CONCLUSION This study reinforces the hypothesis of an early contribution of dopaminergic dysfunction to AD evolution by targeting the default-mode network. These results have potential implications for AD staging and prognosis and support new opportunities for therapeutic interventions to slow down disease progression.
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Affiliation(s)
- Laura Serra
- Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy
| | - Marcello D'Amelio
- Laboratory Molecular Neurosciences, Fondazione Santa Lucia, IRCCS, Rome, Italy.,Unit of Molecular Neurosciences, Department of Medicine, University Campus-Biomedico, Rome, Italy
| | - Sharon Esposito
- Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy
| | | | - Giacomo Koch
- Non Invasive Brain Stimulation Unit/Department of Behavioral and Clinical Neurology, Fondazione Santa Lucia, IRCCS, Rome, Italy.,Section of Human Physiology, University of Ferrara, Ferrara, Italy
| | - Camillo Marra
- Institute of Neurology, Catholic University, Rome, Italy
| | - Nicola Biagio Mercuri
- Laboratory of Experimental Neurology, Fondazione Santa Lucia, IRCCS, Rome, Italy.,Department of Systems Medicine, University of Rome 'Tor Vergata', Rome, Italy
| | - Carlo Caltagirone
- Department of Clinical and Behavioural Neurology, Fondazione Santa Lucia, IRCCS, Rome, Italy
| | - Carlo Alberto Artusi
- 'Rita Levi Montalcini' Department of Neuroscience University of Torino, Turin, Italy
| | - Leonardo Lopiano
- 'Rita Levi Montalcini' Department of Neuroscience University of Torino, Turin, Italy
| | - Mara Cercignani
- Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy.,Cardiff University Brain Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, United Kingdom
| | - Marco Bozzali
- 'Rita Levi Montalcini' Department of Neuroscience University of Torino, Turin, Italy.,Department of Neuroscience, Brighton & Sussex Medical School, University of Sussex, Brighton, East Sussex, United Kingdom
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