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Wang Y, Li J, Jin S, Wang J, Lv Y, Zou Q, Wang J. Mapping morphological cortical networks with joint probability distributions from multiple morphological features. Neuroimage 2024; 296:120673. [PMID: 38851550 DOI: 10.1016/j.neuroimage.2024.120673] [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: 01/09/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/10/2024] Open
Abstract
Morphological features sourced from structural magnetic resonance imaging can be used to infer human brain connectivity. Although integrating different morphological features may theoretically be beneficial for obtaining more precise morphological connectivity networks (MCNs), the empirical evidence to support this supposition is scarce. Moreover, the incorporation of different morphological features remains an open question. In this study, we proposed a method to construct cortical MCNs based on multiple morphological features. Specifically, we adopted a multi-dimensional kernel density estimation algorithm to fit regional joint probability distributions (PDs) from different combinations of four morphological features, and estimated inter-regional similarity in the joint PDs via Jensen-Shannon divergence. We evaluated the method by comparing the resultant MCNs with those built based on different single morphological features in terms of topological organization, test-retest reliability, biological plausibility, and behavioral and cognitive relevance. We found that, compared to MCNs built based on different single morphological features, MCNs derived from multiple morphological features displayed less segregated, but more integrated network architecture and different hubs, had higher test-retest reliability, encompassed larger proportions of inter-hemispheric edges and edges between brain regions within the same cytoarchitectonic class, and explained more inter-individual variance in behavior and cognition. These findings were largely reproducible when different brain atlases were used for cortical parcellation. Further analysis of macaque MCNs revealed weak, but significant correlations with axonal connectivity from tract-tracing, independent of the number of morphological features. Altogether, this paper proposes a new method for integrating different morphological features, which will be beneficial for constructing MCNs.
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Affiliation(s)
- Yuqi Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Junle Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Suhui Jin
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Jing Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Yating Lv
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Qihong Zou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
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Yoshino A, Maekawa T, Kato M, Chan HL, Otsuru N, Yamawaki S. Changes in Resting-State Brain Activity After Cognitive Behavioral Therapy for Chronic Pain: A Magnetoencephalography Study. THE JOURNAL OF PAIN 2024; 25:104523. [PMID: 38582288 DOI: 10.1016/j.jpain.2024.104523] [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: 10/23/2023] [Revised: 03/18/2024] [Accepted: 04/01/2024] [Indexed: 04/08/2024]
Abstract
Cognitive behavioral therapy (CBT) is believed to be an effective treatment for chronic pain due to its association with cognitive and emotional factors. Nevertheless, there is a paucity of magnetoencephalography (MEG) investigations elucidating its underlying mechanisms. This study investigated the neurophysiological effects of CBT employing MEG and analytical techniques. We administered resting-state MEG scans to 30 patients with chronic pain and 31 age-matched healthy controls. Patients engaged in a 12-session group CBT program. We conducted pretreatment (T1) and post-treatment (T2) MEG and clinical assessments. MEG data were examined within predefined regions of interest, guided by the authors' and others' prior magnetic resonance imaging studies. Initially, we selected regions displaying significant changes in power spectral density and multiscale entropy between patients at T1 and healthy controls. Then, we examined the changes within these regions after conducting CBT. Furthermore, we applied support vector machine analysis to MEG data to assess the potential for classifying treatment effects. We observed normalization of power in the gamma2 band (61-90 Hz) within the right inferior frontal gyrus (IFG) and multiscale entropy within the right dorsolateral prefrontal cortex (DLPFC) of patients with chronic pain after CBT. Notably, changes in pain intensity before and after CBT positively correlated with the alterations of multiscale entropy. Importantly, responders predicted by the support vector machine classifier had significantly higher treatment improvement rates than nonresponders. These findings underscore the pivotal role of the right IFG and DLPFC in ameliorating pain intensity through CBT. Further accumulation of evidence is essential for future applications. PERSPECTIVE: We conducted MEG scans on 30 patients with chronic pain before and after a CBT program, comparing results with 31 healthy individuals. There were CBT-related changes in the right IFG and DLPFC. These results highlight the importance of specific brain regions in pain reduction through CBT.
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Affiliation(s)
- Atsuo Yoshino
- Health Service Center, Hiroshima University, Minami-Ku, Hiroshima, Japan; Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Minami-Ku, Hiroshima, Japan
| | - Toru Maekawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Minami-Ku, Hiroshima, Japan
| | - Miyuki Kato
- Department of Psychiatry and Neurosciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Minami-Ku, Hiroshima, Japan
| | - Hui-Ling Chan
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Minami-Ku, Hiroshima, Japan; Department of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan City, Taiwan
| | - Naofumi Otsuru
- Department of Physical Therapy, Niigata University of Health and Welfare, Kita-Ku, Niigata, Japan
| | - Shigeto Yamawaki
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Minami-Ku, Hiroshima, Japan
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Keith CM, Lindberg KE, Wilhelmsen K, Mehta RI, Vieira Ligo Teixeira C, Miller M, Ward M, Navia RO, McCuddy WT, Miller L, Bryant K, Coleman M, D'Haese PF, Haut MW. Cortical Thickness Correlates of Go/No-go and Motor Sequencing in Mild Cognitive Impairment and Suspected Alzheimer Disease Dementia. Cogn Behav Neurol 2024:00146965-990000000-00071. [PMID: 39069962 DOI: 10.1097/wnn.0000000000000376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 04/02/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND While the cognitive hallmark of typical Alzheimer's disease (AD) is impaired memory consolidation, increasing evidence suggests that the frontal lobes and associated executive functions are also impacted. OBJECTIVE We examined two neurobehavioral executive function tasks and associations with cortical thickness in patients diagnosed with mild cognitive impairment (MCI), suspected AD dementia, and a healthy control group. METHODS First, we compared group performances on a go/no-go (GNG) task and on Luria's Fist-Edge-Palm (FEP) motor sequencing task. We then examined correlations between neurobehavioral task performance and the thickness of frontal cortical regions, AD signature regions, broader unbiased brain regions, and white matter hyperintensities (WMH). RESULTS Participants with MCI performed worse than healthy controls, but better than participants with suspected AD dementia on both tasks. Both GNG and FEP (to a slightly greater extent) tasks showed diffuse associations with most AD signature regions and multiple additional regions within the temporal, parietal, and occipital cortices. Similarly, both tasks showed significant associations with all other cognitive tasks examined. Of the frontal regions examined, only the middle frontal gyrus and pars opercularis were associated with performance on these tasks. Interactions between the precuneus and transtemporal gyri were most predictive of GNG task performance, while the interaction between superior temporal and lingual gyri was most predictive of FEP task performance. CONCLUSION This study replicates difficulties with both GNG and FEP tasks in participants with MCI and AD dementia. Both tasks showed widespread associations with the cortical thickness of various brain structures rather than localizing to frontal regions, consistent with the diffuse nature of AD.
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Affiliation(s)
- Cierra M Keith
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Katharine E Lindberg
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Kirk Wilhelmsen
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Neurology, West Virginia University, Morgantown, West Virginia
| | - Rashi I Mehta
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Neuroradiology, West Virginia University, Morgantown, West Virginia
| | | | - Mark Miller
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Melanie Ward
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Neurology, West Virginia University, Morgantown, West Virginia
| | - R Osvaldo Navia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Medicine, West Virginia University, Morgantown, West Virginia
| | - William T McCuddy
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Liv Miller
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Kirk Bryant
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
| | - Michelle Coleman
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
| | - Pierre-François D'Haese
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Neuroradiology, West Virginia University, Morgantown, West Virginia
| | - Marc W Haut
- Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia
- Rockefeller Neuroscience Institute, West Virginia University, Morgantown, West Virginia
- Department of Neurology, West Virginia University, Morgantown, West Virginia
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Laatsch J, Stein F, Maier S, Matthies S, Sobanski E, Alm B, Tebartz van Elst L, Krug A, Philipsen A. Neural correlates of inattention in adults with ADHD. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01872-2. [PMID: 39073447 DOI: 10.1007/s00406-024-01872-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
In the last two decades, numerous magnetic resonance imaging (MRI) studies have examined differences in cortical structure between individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) and healthy controls. These studies primarily emphasized alterations in gray matter volume (GMV) and cortical thickness (CT). Still, the scientific literature is notably scarce in regard to investigating associations of cortical structure with ADHD psychopathology, specifically inattention within adults with ADHD. The present study aimed to elucidate neurobiological underpinnings of inattention beyond GMV and CT by including cortical gyrification, sulcal depth, and fractal dimension. Building upon the Comparison of Methylphenidate and Psychotherapy in Adult ADHD Study (COMPAS), cortical structure parameters were investigated using 141 T1-weighted anatomical scans of adult patients with ADHD. All brain structural analyses were performed using the threshold-free cluster enhancement (TFCE) approach and the Computational Anatomy Toolbox (CAT12) integrated into the Statistical Parametric Mapping Software (Matlab Version R2021a). Results revealed significant correlations of inattention in multiple brain regions. Cortical gyrification was negatively correlated, whereas cortical thickness and fractal dimension were positively associated with inattention. The clusters showed widespread distribution across the cerebral cortex, with both hemispheres affected. The cortical regions most prominently affected included the precuneus, para-, pre-, and postcentral gyri, superior parietal lobe, and posterior cingulate cortex. This study highlights the importance of cortical alterations in attentional processes in adults with ADHD. Further research in this area is warranted to elucidate intricacies of inattention in adults with ADHD to potentially enhance diagnostic accuracy and inform personalized treatment strategies.
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Affiliation(s)
- Jonathan Laatsch
- Department of Psychiatry und Psychotherapy, University Hospital Bonn, Bonn, Germany.
| | - Frederike Stein
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
| | - Simon Maier
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Swantje Matthies
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Esther Sobanski
- Department of Child and Adolescent Psychiatry Lucerne, Lucerne, Switzerland
- Department of Psychiatry and Psychotherapy, Medical Faculty of Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Barbara Alm
- Department of Psychiatry and Psychotherapy, Medical Faculty of Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Axel Krug
- Department of Psychiatry und Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Alexandra Philipsen
- Department of Psychiatry und Psychotherapy, University Hospital Bonn, Bonn, Germany
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Wang J, Liang X, Lu J, Zhang W, Chen Q, Li X, Chen J, Zhang X, Zhang B. Cortical and Subcortical Gray Matter Abnormalities in Mild Cognitive Impairment. Neuroscience 2024:S0306-4522(24)00349-X. [PMID: 39067683 DOI: 10.1016/j.neuroscience.2024.07.036] [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: 04/07/2024] [Revised: 07/06/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024]
Abstract
Gray matter changes are thought to be closely related to cognitive decline in mild cognitive impairment (MCI) patients. The study aimed to explore cortical and subcortical structural alterations in MCI and their association with cognitive assessment. 24 MCI patients and 22 normal controls (NCs) were included. Voxel-based morphometry (VBM), vertex-based shape analysis and surface-based morphometry (SBM) analysis were applied to explore subcortical nuclei volume, shape and cortical morphology. Correlations between structural changes and cognition were explored using spearman correlation analysis. Support vector machine (SVM) classification evaluated MCI identification accuracy. MCI patients showed significant atrophy in the left thalamus, left hippocampus, left amygdala, right pallidum, right hippocampus, along with inward deformation in the left amygdala. SBM analysis revealed that MCI group exhibited shallower sulci depth in the left hemisphere and increased cortical gyrification index (GI) in the right frontal gyrus. Correlation analysis showed the positive correlation between right hippocampus volume and episodic memory, while negative correlation between the altered GI and memory performance in MCI group. SVM analysis demonstrated superior performance of sulci depth and GI derived from SBM in MCI identification. When combined with cortical and subcortical metrics, SVM achieved a peak accuracy of 89% in distinguishing MCI from NC. The study reveals significant gray matter structural changes in MCI, suggesting their potential role in underlying functional differences and neural mechanisms behind memory impairment in MCI.
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Affiliation(s)
- Junxia Wang
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Xue Liang
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Jiaming Lu
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Wen Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Qian Chen
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Xin Li
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Jiu Chen
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Xin Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, 210008, China.
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Franco-Rosado P, Callejón MA, Reina-Tosina J, Roa LM, Martin-Rodriguez JF, Mir P. Addressing the sources of inter-subject variability in E-field parameters in anodal tDCS stimulation over motor cortical network. Phys Med Biol 2024; 69:145013. [PMID: 38917834 DOI: 10.1088/1361-6560/ad5bb9] [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: 10/31/2023] [Accepted: 06/25/2024] [Indexed: 06/27/2024]
Abstract
Objetive: .Although transcranial direct current stimulation constitutes a non-invasive neuromodulation technique with promising results in a great variety of applications, its clinical implementation is compromised by the high inter-subject variability reported. This study aims to analyze the inter-subject variability in electric fields (E-fields) over regions of the cortical motor network under two electrode montages: the classical C3Fp2 and an alternative P3F3, which confines more the E-field over this region.Approach.Computational models of the head of 98 healthy subjects were developed to simulate the E-field under both montages. E-field parameters such as magnitude, focality and orientation were calculated over three regions of interest (ROI): M1S1, supplementary motor area (SMA) and preSMA. The role of anatomical characteristics as a source of inter-subject variability on E-field parameters and individualized stimulation intensity were addressed using linear mixed-effect models.Main results.P3F3 showed a more confined E-field distribution over M1S1 than C3Fp2; the latter elicited higher E-fields over supplementary motor areas. Both montages showed high inter-subject variability, especially for the normal component over C3Fp2. Skin, bone and CSF ROI volumes showed a negative association with E-field magnitude irrespective of montage. Grey matter volume and montage were the main sources of variability for focality. The curvature of gyri was found to be significantly associated with the variability of normal E-fields.Significance.Computational modeling proves useful in the assessment of E-field variability. Our simulations predict significant differences in E-field magnitude and focality for C3Fp2 and P3F3. However, anatomical characteristics were also found to be significant sources of E-field variability irrespective of electrode montage. The normal E-field component better captured the individual variability and low rate of responder subjects observed in experimental studies.
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Affiliation(s)
- Pablo Franco-Rosado
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain
- Departamento de Psicología Experimental, Universidad de Sevilla, Sevilla, Spain
| | - M Amparo Callejón
- Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain
- Servicio de Otorrinolaringología, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Javier Reina-Tosina
- Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain
| | - Laura M Roa
- Grupo de Ingeniería Biomédica, Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla, Sevilla, Spain
| | - Juan F Martin-Rodriguez
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Psicología Experimental, Universidad de Sevilla, Sevilla, Spain
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Sevilla, Spain
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7
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Bergström F, Schu G, Lee S, Lerman C, Kable JW. Multivariate analysis of multimodal brain structure predicts individual differences in risk and intertemporal preference. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.04.602046. [PMID: 39026787 PMCID: PMC11257450 DOI: 10.1101/2024.07.04.602046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Large changes to brain structure (e.g., from damage or disease) can explain alterations in behavior. It is therefore plausible that smaller structural differences in healthy samples can be used to better understand and predict individual differences in behavior. Despite the brain's multivariate and distributed structure-to-function mapping, most studies have used univariate analyses of individual structural brain measures. Here we used a multivariate approach in a multimodal data set composed of volumetric, surface-based, diffusion-based, and functional resting-state MRI measures to predict reliable individual differences in risk and intertemporal preferences. We show that combining twelve brain structure measures led to better predictions across tasks than using any individual measure, and by examining model coefficients, we visualize the relative contribution of different brain measures from different brain regions. Using a multivariate approach to brain structure-to-function mapping that combines across many brain structure properties, along with reliably measured behavior phenotypes, may increase out-of-sample prediction accuracies and insight into neural underpinnings. Furthermore, this methodological approach may be useful to improve predictions and neural insight across basic, translational, and clinical research fields.
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Affiliation(s)
- Fredrik Bergström
- Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal
- Department of Psychology, University of Gothenburg, Sweden
| | - Guilherme Schu
- Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal
| | - Sangil Lee
- Social Science Matrix, University of California, Berkeley, CA, USA
| | - Caryn Lerman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph W. Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
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Duma GM, Cuozzo S, Wilson L, Danieli A, Bonanni P, Pellegrino G. Excitation/Inhibition balance relates to cognitive function and gene expression in temporal lobe epilepsy: a high density EEG assessment with aperiodic exponent. Brain Commun 2024; 6:fcae231. [PMID: 39056027 PMCID: PMC11272395 DOI: 10.1093/braincomms/fcae231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/22/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Patients with epilepsy are characterized by a dysregulation of excitation/inhibition balance (E/I). The assessment of E/I may inform clinicians during the diagnosis and therapy management, even though it is rarely performed. An accessible measure of the E/I of the brain represents a clinically relevant feature. Here, we exploited the exponent of the aperiodic component of the power spectrum of the electroencephalography (EEG) signal, as a non-invasive and cost-effective proxy of the E/I balance. We recorded resting-state activity with high-density EEG from 67 patients with temporal lobe epilepsy and 35 controls. We extracted the exponent of the aperiodic fit of the power spectrum from source-reconstructed EEG and tested differences between patients with epilepsy and controls. Spearman's correlation was performed between the exponent and clinical variables (age of onset, epilepsy duration and neuropsychology) and cortical expression of epilepsy-related genes derived from the Allen Human Brain Atlas. Patients with temporal lobe epilepsy showed a significantly larger exponent, corresponding to inhibition-directed E/I balance, in bilateral frontal and temporal regions. Lower E/I in the left entorhinal and bilateral dorsolateral prefrontal cortices corresponded to a lower performance of short-term verbal memory. Limited to patients with temporal lobe epilepsy, we detected a significant correlation between the exponent and the cortical expression of GABRA1, GRIN2A, GABRD, GABRG2, KCNA2 and PDYN genes. EEG aperiodic exponent maps the E/I balance non-invasively in patients with epilepsy and reveals a close relationship between altered E/I patterns, cognition and genetics.
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Affiliation(s)
- Gian Marco Duma
- Scientific Institute IRCCS E.Medea, Epilepsy and Clinical Neurophysiology Unit, 31015, Conegliano, Italy
| | - Simone Cuozzo
- Scientific Institute IRCCS E.Medea, Epilepsy and Clinical Neurophysiology Unit, 31015, Conegliano, Italy
| | - Luc Wilson
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Alberto Danieli
- Scientific Institute IRCCS E.Medea, Epilepsy and Clinical Neurophysiology Unit, 31015, Conegliano, Italy
| | - Paolo Bonanni
- Scientific Institute IRCCS E.Medea, Epilepsy and Clinical Neurophysiology Unit, 31015, Conegliano, Italy
| | - Giovanni Pellegrino
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London N6A5C1, Canada
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Rominger C, Koschutnig K, Fink A, Perchtold-Stefan CM. MRI resting-state signature of the propensity to experience meaningful coincidences: a functional coupling analysis. Cereb Cortex 2024; 34:bhae269. [PMID: 38984703 PMCID: PMC11234293 DOI: 10.1093/cercor/bhae269] [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: 03/29/2024] [Revised: 06/06/2024] [Accepted: 06/15/2024] [Indexed: 07/11/2024] Open
Abstract
The propensity to experience meaningful patterns in random arrangements and unrelated events shows considerable interindividual differences. Reduced inhibitory control (over sensory processes) and decreased working memory capacities are associated with this trait, which implies that the activation of frontal as well as posterior brain regions may be altered during rest and working memory tasks. In addition, people experiencing more meaningful coincidences showed reduced gray matter of the left inferior frontal gyrus (IFG), which is linked to the inhibition of irrelevant information in working memory and the control and integration of multisensory information. To study deviations in the functional connectivity of the IFG with posterior associative areas, the present study investigated the fMRI resting state in a large sample of n = 101 participants. We applied seed-to-voxel analysis and found that people who perceive more meaningful coincidences showed negative functional connectivity of the left IFG (i.e. pars triangularis) with areas of the left posterior associative cortex (e.g. superior parietal cortex). A data-driven multivoxel pattern analysis further indicated that functional connectivity of a cluster located in the right cerebellum with a cluster including parts of the left middle frontal gyrus, left precentral gyrus, and the left IFG (pars opercularis) was associated with meaningful coincidences. These findings add evidence to the neurocognitive foundations of the propensity to experience meaningful coincidences, which strengthens the idea that deviations of working memory functions and inhibition of sensory and motor information explain why people experience more meaning in meaningless noise.
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Affiliation(s)
| | - Karl Koschutnig
- Institute of Psychology, University of Graz, Universitätsplatz 2/III, A-8010 Graz, Austria
| | - Andreas Fink
- Institute of Psychology, University of Graz, Universitätsplatz 2/III, A-8010 Graz, Austria
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Recht G, Hou J, Buddenbaum C, Cheng H, Newman SD, Saykin AJ, Kawata K. Multiparameter cortical surface morphology in former amateur contact sport athletes. Cereb Cortex 2024; 34:bhae301. [PMID: 39077916 DOI: 10.1093/cercor/bhae301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/29/2024] [Accepted: 07/08/2024] [Indexed: 07/31/2024] Open
Abstract
The lifetime effects of repetitive head impacts have captured considerable public and scientific interest over the past decade, yet a knowledge gap persists in our understanding of midlife neurological well-being, particularly in amateur level athletes. This study aimed to identify the effects of lifetime exposure to sports-related head impacts on brain morphology in retired, amateur athletes. This cross-sectional study comprised of 37 former amateur contact sports athletes and 21 age- and sex-matched noncontact athletes. High-resolution anatomical, T1 scans were analyzed for the cortical morphology, including cortical thickness, sulcal depth, and sulcal curvature, and cognitive function was assessed using the Dementia Rating Scale-2. Despite no group differences in cognitive functions, the contact group exhibited significant cortical thinning particularly in the bilateral frontotemporal regions and medial brain regions, such as the cingulate cortex and precuneus, compared to the noncontact group. Deepened sulcal depth and increased sulcal curvature across all four lobes of the brain were also notable in the contact group. These data suggest that brain morphology of middle-aged former amateur contact athletes differs from that of noncontact athletes and that lifetime exposure to repetitive head impacts may be associated with neuroanatomical changes.
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Affiliation(s)
- Grace Recht
- Department of Kinesiology, Indiana University School of Public Health-Bloomington, 1025 E. 10th Street, Bloomington, IN 47405, United States
| | - Jiancheng Hou
- Department of Kinesiology, Indiana University School of Public Health-Bloomington, 1025 E. 10th Street, Bloomington, IN 47405, United States
- Research Center for Cross-Straits Cultural Development, Fujian Normal University, Cangshan Campus, No. 8 Shangshan Road, Cangshan District, Fuzhou, Fujian 350007, China
| | - Claire Buddenbaum
- Department of Kinesiology, Indiana University School of Public Health-Bloomington, 1025 E. 10th Street, Bloomington, IN 47405, United States
| | - Hu Cheng
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Indiana University, 1101 E. 10th Street, Bloomington, IN 47405, United States
- Program in Neuroscience, The College of Arts and Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN 47405, United States
| | - Sharlene D Newman
- Alabama Life Research Institute, College of Arts & Sciences, University of Alabama, 211 Peter Bryce Blvd., Tuscaloosa, AL 35401, United States
| | - Andrew J Saykin
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, 355 West 16th Street, Indianapolis, IN 46202, United States
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 University Blvd, Indianapolis, IN 46202, United States
| | - Keisuke Kawata
- Department of Kinesiology, Indiana University School of Public Health-Bloomington, 1025 E. 10th Street, Bloomington, IN 47405, United States
- Program in Neuroscience, The College of Arts and Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN 47405, United States
- Department of Pediatrics, Indiana University School of Medicine, 1130 W Michigan St, Indianapolis, IN 46202, United States
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11
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Luders E, Gaser C, Spencer D, Thankamony A, Hughes I, Simpson H, Srirangalingam U, Gleeson H, Hines M, Kurth F. Cortical gyrification in women and men and the (missing) link to prenatal androgens. Eur J Neurosci 2024; 60:3995-4003. [PMID: 38733283 PMCID: PMC11260240 DOI: 10.1111/ejn.16391] [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: 01/29/2024] [Revised: 04/13/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
Previous studies have reported sex differences in cortical gyrification. Since most cortical folding is principally defined in utero, sex chromosomes as well as gonadal hormones are likely to influence sex-specific aspects of local gyrification. Classic congenital adrenal hyperplasia (CAH) causes high levels of androgens during gestation in females, whereas levels in males are largely within the typical male range. Therefore, CAH provides an opportunity to study the possible effects of prenatal androgens on cortical gyrification. Here, we examined the vertex-wise absolute mean curvature-a common estimate for cortical gyrification-in individuals with CAH (33 women and 20 men) and pair-wise matched controls (33 women and 20 men). There was no significant main effect of CAH and no significant CAH-by-sex interaction. However, there was a significant main effect of sex in five cortical regions, where gyrification was increased in women compared to men. These regions were located on the lateral surface of the brain, specifically left middle frontal (rostral and caudal), right inferior frontal, left inferior parietal, and right occipital. There was no cortical region where gyrification was increased in men compared to women. Our findings do not only confirm prior reports of increased cortical gyrification in female brains but also suggest that cortical gyrification is not significantly affected by prenatal androgen exposure. Instead, cortical gyrification might be determined by sex chromosomes either directly or indirectly-the latter potentially by affecting the underlying architecture of the cortex or the size of the intracranial cavity, which is smaller in women.
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Affiliation(s)
- Eileen Luders
- Department of Women’s and Children’s Health, Uppsala University, Uppsala 75237, Sweden
- Swedish Collegium for Advanced Study (SCAS), Uppsala 75238, Sweden
- School of Psychology, University of Auckland, Auckland 1010, New Zealand
- Laboratory of Neuro Imaging, School of Medicine, University of Southern California, Los Angeles 90033, USA
| | - Christian Gaser
- Department of Neurology, Jena University Hospital, Jena 07747, Germany
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07747, Germany
- German Center for Mental Health (DZPG), Germany
| | - Debra Spencer
- Department of Psychology, University of Cambridge, Cambridge CB23RQ, UK
| | - Ajay Thankamony
- Department of Paediatrics, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB20QQ, UK
- Weston Centre for Paediatric Endocrinology & Diabetes, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB20QQ, UK
| | - Ieuan Hughes
- Department of Paediatrics, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB20QQ, UK
| | - Helen Simpson
- Department of Endocrinology and Diabetes, University College Hospital London, London NW12BU, UK
| | | | | | - Melissa Hines
- Department of Psychology, University of Cambridge, Cambridge CB23RQ, UK
| | - Florian Kurth
- School of Psychology, University of Auckland, Auckland 1010, New Zealand
- Departments of Neuroradiology and Radiology, Jena University Hospital, Jena 07747, Germany
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12
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Petersen M, Chevalier C, Naegele FL, Ingwersen T, Omidvarnia A, Hoffstaedter F, Patil K, Eickhoff SB, Schnabel RB, Kirchhof P, Schlemm E, Cheng B, Thomalla G, Jensen M. Mapping the interplay of atrial fibrillation, brain structure, and cognitive dysfunction. Alzheimers Dement 2024; 20:4512-4526. [PMID: 38837525 PMCID: PMC11247702 DOI: 10.1002/alz.13870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/09/2024] [Accepted: 04/09/2024] [Indexed: 06/07/2024]
Abstract
INTRODUCTION Atrial fibrillation (AF) is associated with an elevated risk of cognitive impairment and dementia. Understanding the cognitive sequelae and brain structural changes associated with AF is vital for addressing ensuing health care needs. METHODS AND RESULTS We examined 1335 stroke-free individuals with AF and 2683 matched controls using neuropsychological assessments and multimodal neuroimaging. The analysis revealed that individuals with AF exhibited deficits in executive function, processing speed, and reasoning, accompanied by reduced cortical thickness, elevated extracellular free-water content, and widespread white matter abnormalities, indicative of small vessel pathology. Notably, brain structural differences statistically mediated the relationship between AF and cognitive performance. DISCUSSION Integrating a comprehensive analysis approach with extensive clinical and magnetic resonance imaging data, our study highlights small vessel pathology as a possible unifying link among AF, cognitive decline, and abnormal brain structure. These insights can inform diagnostic approaches and motivate the ongoing implementation of effective therapeutic strategies. Highlights We investigated neuropsychological and multimodal neuroimaging data of 1335 individuals with atrial fibrillation (AF) and 2683 matched controls. Our analysis revealed AF-associated deficits in cognitive domains of attention, executive function, processing speed, and reasoning. Cognitive deficits in the AF group were accompanied by structural brain alterations including reduced cortical thickness and gray matter volume, alongside increased extracellular free-water content as well as widespread differences of white matter integrity. Structural brain changes statistically mediated the link between AF and cognitive performance, emphasizing the potential of structural imaging markers as a diagnostic tool in AF-related cognitive decline.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Céleste Chevalier
- Department of Cardiology, University Heart and Vascular Center, Hamburg, Germany
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Luebeck, Hamburg, Germany
| | - Felix L Naegele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thies Ingwersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
| | - Kaustubh Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center, Hamburg, Germany
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Luebeck, Hamburg, Germany
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center, Hamburg, Germany
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Luebeck, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Märit Jensen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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13
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Yin Y, Qiu X, Nie L, Wang F, Luo X, Zhao C, Yu H, Luo D, Wang J, Liu H. Individual-based morphological brain network changes in children with Rolandic epilepsy. Clin Neurophysiol 2024; 165:90-96. [PMID: 38991378 DOI: 10.1016/j.clinph.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 04/09/2024] [Accepted: 06/15/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE To investigate the local cortical morphology and individual-based morphological brain networks (MBNs) changes in children with Rolandic epilepsy (RE). METHODS Based on the structural MRI data of 56 children with RE and 56 healthy controls (HC), we constructed four types of individual-based MBNs using morphological indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]). The global and nodal properties of the brain networks were analyzed using graph theory. The between-group difference in local morphology and network topology was estimated, and partial correlation analysis was further analyzed. RESULTS Compared with the HC, children with RE showed regional GI increases in the right posterior cingulate gyrus and SD increases in the right anterior cingulate gyrus and medial prefrontal cortex. Regarding the network level, RE exhibited increased characteristic path length in CT-based and FD-based networks, while decreased FD-based network node efficiency in the right inferior frontal gyrus. No significant correlation between altered morphological features and clinical variables was found in RE. CONCLUSIONS These findings indicated that children with RE have disrupted morphological brain network organization beyond local morphology changes. SIGNIFICANCE The present study could provide more theoretical basis for exploring the neuropathological mechanisms in RE.
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Affiliation(s)
- Yu Yin
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Xiaofan Qiu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Fuqin Wang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Xinyu Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Chunfeng Zhao
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Haoyue Yu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Dan Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China.
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14
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Meinzer M, Shahbabaie A, Antonenko D, Blankenburg F, Fischer R, Hartwigsen G, Nitsche MA, Li SC, Thielscher A, Timmann D, Waltemath D, Abdelmotaleb M, Kocataş H, Caisachana Guevara LM, Batsikadze G, Grundei M, Cunha T, Hayek D, Turker S, Schlitt F, Shi Y, Khan A, Burke M, Riemann S, Niemann F, Flöel A. Investigating the neural mechanisms of transcranial direct current stimulation effects on human cognition: current issues and potential solutions. Front Neurosci 2024; 18:1389651. [PMID: 38957187 PMCID: PMC11218740 DOI: 10.3389/fnins.2024.1389651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/15/2024] [Indexed: 07/04/2024] Open
Abstract
Transcranial direct current stimulation (tDCS) has been studied extensively for its potential to enhance human cognitive functions in healthy individuals and to treat cognitive impairment in various clinical populations. However, little is known about how tDCS modulates the neural networks supporting cognition and the complex interplay with mediating factors that may explain the frequently observed variability of stimulation effects within and between studies. Moreover, research in this field has been characterized by substantial methodological variability, frequent lack of rigorous experimental control and small sample sizes, thereby limiting the generalizability of findings and translational potential of tDCS. The present manuscript aims to delineate how these important issues can be addressed within a neuroimaging context, to reveal the neural underpinnings, predictors and mediators of tDCS-induced behavioral modulation. We will focus on functional magnetic resonance imaging (fMRI), because it allows the investigation of tDCS effects with excellent spatial precision and sufficient temporal resolution across the entire brain. Moreover, high resolution structural imaging data can be acquired for precise localization of stimulation effects, verification of electrode positions on the scalp and realistic current modeling based on individual head and brain anatomy. However, the general principles outlined in this review will also be applicable to other imaging modalities. Following an introduction to the overall state-of-the-art in this field, we will discuss in more detail the underlying causes of variability in previous tDCS studies. Moreover, we will elaborate on design considerations for tDCS-fMRI studies, optimization of tDCS and imaging protocols and how to assure high-level experimental control. Two additional sections address the pressing need for more systematic investigation of tDCS effects across the healthy human lifespan and implications for tDCS studies in age-associated disease, and potential benefits of establishing large-scale, multidisciplinary consortia for more coordinated tDCS research in the future. We hope that this review will contribute to more coordinated, methodologically sound, transparent and reproducible research in this field. Ultimately, our aim is to facilitate a better understanding of the underlying mechanisms by which tDCS modulates human cognitive functions and more effective and individually tailored translational and clinical applications of this technique in the future.
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Affiliation(s)
- Marcus Meinzer
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Alireza Shahbabaie
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Daria Antonenko
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Felix Blankenburg
- Neurocomputation and Neuroimaging Unit, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Rico Fischer
- Department of Psychology, University of Greifswald, Greifswald, Germany
| | - Gesa Hartwigsen
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, Germany
| | - Michael A. Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, Dortmund, Germany
- German Center for Mental Health (DZPG), Bochum, Germany
- Bielefeld University, University Hospital OWL, Protestant Hospital of Bethel Foundation, University Clinic of Psychiatry and Psychotherapy, Bielefeld, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Axel Thielscher
- Section for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Dagmar Waltemath
- Core Unit Data Integration Center, University Medicine Greifswald, Greifswald, Germany
| | | | - Harun Kocataş
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | | | - Giorgi Batsikadze
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Miro Grundei
- Neurocomputation and Neuroimaging Unit, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Teresa Cunha
- Section for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Dayana Hayek
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Sabrina Turker
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, Germany
| | - Frederik Schlitt
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Yiquan Shi
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Asad Khan
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, Dortmund, Germany
| | - Michael Burke
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, Dortmund, Germany
| | - Steffen Riemann
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Filip Niemann
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE Site Greifswald), Greifswald, Germany
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15
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Corsi MC, Troisi Lopez E, Sorrentino P, Cuozzo S, Danieli A, Bonanni P, Duma GM. Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics. Sci Rep 2024; 14:14039. [PMID: 38890363 PMCID: PMC11189588 DOI: 10.1038/s41598-024-64870-3] [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: 02/19/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
The epilepsy diagnosis still represents a complex process, with misdiagnosis reaching 40%. We aimed at building an automatable workflow, helping the clinicians in the diagnosis of temporal lobe epilepsy (TLE). We hypothesized that neuronal avalanches (NA) represent a feature better encapsulating the rich brain dynamics compared to classically used functional connectivity measures (Imaginary Coherence; ImCoh). We analyzed large-scale activation bursts (NA) from source estimation of resting-state electroencephalography. Using a support vector machine, we reached a classification accuracy of TLE versus controls of 0.86 ± 0.08 (SD) and an area under the curve of 0.93 ± 0.07. The use of NA features increase by around 16% the accuracy of diagnosis prediction compared to ImCoh. Classification accuracy increased with larger signal duration, reaching a plateau at 5 min of recording. To summarize, NA represents an interpretable feature for an automated epilepsy identification, being related with intrinsic neuronal timescales of pathology-relevant regions.
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Affiliation(s)
- Marie-Constance Corsi
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute -ICM, CNRS, Inria, Inserm, AP-HP, Hopital de la Pitié Salpêtrière, 75013, Paris, France.
| | - Emahnuel Troisi Lopez
- Institute of Applied Sciences and Intelligent Systems of National Research Council, Pozzuoli, Italy
| | - Pierpaolo Sorrentino
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, 13005, Marseille, France.
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro, 07100, Sassari, Italy.
| | - Simone Cuozzo
- Epilepsy Unit, IRCCS E. Medea Scientific Institute, Via Costa Alta 37, 31015, Conegliano, Treviso, Italy
| | - Alberto Danieli
- Epilepsy Unit, IRCCS E. Medea Scientific Institute, Via Costa Alta 37, 31015, Conegliano, Treviso, Italy
| | - Paolo Bonanni
- Epilepsy Unit, IRCCS E. Medea Scientific Institute, Via Costa Alta 37, 31015, Conegliano, Treviso, Italy
| | - Gian Marco Duma
- Epilepsy Unit, IRCCS E. Medea Scientific Institute, Via Costa Alta 37, 31015, Conegliano, Treviso, Italy
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16
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Denier N, Grieder M, Jann K, Breit S, Mertse N, Walther S, Soravia LM, Meyer A, Federspiel A, Wiest R, Bracht T. Analyzing fractal dimension in electroconvulsive therapy: Unraveling complexity in structural and functional neuroimaging. Neuroimage 2024; 297:120671. [PMID: 38901774 DOI: 10.1016/j.neuroimage.2024.120671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/21/2024] [Accepted: 06/06/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Numerous studies show that electroconvulsive therapy (ECT) induces hippocampal neuroplasticity, but findings are inconsistent regarding its clinical relevance. This study aims to investigate ECT-induced plasticity of anterior and posterior hippocampi using mathematical complexity measures in neuroimaging, namely Higuchi's fractal dimension (HFD) for fMRI time series and the fractal dimension of cortical morphology (FD-CM). Furthermore, we explore the potential of these complexity measures to predict ECT treatment response. METHODS Twenty patients with a current depressive episode (16 with major depressive disorder and 4 with bipolar disorder) underwent MRI-scans before and after an ECT-series. Twenty healthy controls matched for age and sex were also scanned twice for comparison purposes. Resting-state fMRI data were processed, and HFD was computed for anterior and posterior hippocampi. Group-by-time effects for HFD in anterior and posterior hippocampi were calculated and correlations between HFD changes and improvement in depression severity were examined. For FD-CM analyses, we preprocessed structural MRI with CAT12's surface-based methods. We explored group-by-time effects for FD-CM and the predictive value of baseline HFD and FD-CM for treatment outcome. RESULTS Patients exhibited a significant increase in bilateral hippocampal HFD from baseline to follow-up scans. Right anterior hippocampal HFD increase was associated with reductions in depression severity. We found no group differences and group-by-time effects in FD-CM. After applying a whole-brain regression analysis, we found that baseline FD-CM in the left temporal pole predicted reduction of overall depression severity after ECT. Baseline hippocampal HFD did not predict treatment outcome. CONCLUSION This study suggests that HFD and FD-CM are promising imaging markers to investigate ECT-induced neuroplasticity associated with treatment response.
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Affiliation(s)
- Niklaus Denier
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
| | - Matthias Grieder
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Kay Jann
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
| | - Sigrid Breit
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Nicolas Mertse
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Leila M Soravia
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Agnes Meyer
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Andrea Federspiel
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland; Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland; Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Tobias Bracht
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
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17
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Gu SY, Shi FC, Wang S, Wang CY, Yao XX, Sun YF, Luo CX, Liu WT, Hu JB, Chen F, Pan PL, Li WH. Altered cortical thickness and structural covariance networks in chronic low back pain. Brain Res Bull 2024; 212:110968. [PMID: 38679110 DOI: 10.1016/j.brainresbull.2024.110968] [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: 01/16/2024] [Revised: 04/09/2024] [Accepted: 04/24/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Despite regional brain structural changes having been reported in patients with chronic low back pain (CLBP), the topological properties of structural covariance networks (SCNs), which refer to the organization of the SCNs, remain unclear. This study applied graph theoretical analysis to explore the alterations of the topological properties of SCNs, aiming to comprehend the integration and separation of SCNs in patients with CLBP. METHODS A total of 38 patients with CLBP and 38 healthy controls (HCs), balanced for age and sex, were scanned using three-dimensional T1-weighted magnetic resonance imaging. The cortical thickness was extracted from 68 brain regions, according to the Desikan-Killiany atlas, and used to reconstruct the SCNs. Subsequently, graph theoretical analysis was employed to evaluate the alterations of the topological properties in the SCNs of patients with CLBP. RESULTS In comparison to HCs, patients with CLBP had less cortical thickness in the left superior frontal cortex. Additionally, the cortical thickness of the left superior frontal cortex was negatively correlated with the Visual Analogue Scale scores of patients with CLBP. Furthermore, patients with CLBP, relative to HCs, exhibited lower global efficiency and small-worldness, as well as a longer characteristic path length. This indicates a decline in the brain's capacity to transmit and process information, potentially impacting the processing of pain signals in patients with CLBP and contributing to the development of CLBP. In contrast, there were no significant differences in the clustering coefficient, local efficiency, nodal efficiency, nodal betweenness centrality, or nodal degree between the two groups. CONCLUSIONS From the regional cortical thickness to the complex brain network level, our study demonstrated changes in the cortical thickness and topological properties of the SCNs in patients with CLBP, thus aiding in a better understanding of the pathophysiological mechanisms of CLBP.
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Affiliation(s)
- Si-Yu Gu
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Feng-Chao Shi
- Department of Orthopedics, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Shu Wang
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Cheng-Yu Wang
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Xin-Xin Yao
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Yi-Fan Sun
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Chuan-Xu Luo
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Wan-Ting Liu
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Jian-Bin Hu
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Fei Chen
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Ping-Lei Pan
- Department of Central Laboratory, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China
| | - Wen-Hui Li
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, PR China; The Affiliated Yancheng Maternity&Child Health Hospital of Yangzhou University Medical School, PR China.
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18
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Dubol M, Stiernman L, Sundström-Poromaa I, Bixo M, Comasco E. Cortical morphology variations during the menstrual cycle in individuals with and without premenstrual dysphoric disorder. J Affect Disord 2024; 355:470-477. [PMID: 38552916 DOI: 10.1016/j.jad.2024.03.130] [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: 10/24/2023] [Revised: 02/16/2024] [Accepted: 03/23/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Premenstrual dysphoric disorder (PMDD) is hypothesized to stem from maladaptive neural sensitivity to ovarian steroid hormone fluctuations. Recently, we found thinner cortices in individuals with PMDD, compared to healthy controls, during the symptomatic phase. Here, we aimed at investigating whether such differences illustrate state-like characteristics specific to the symptomatic phase, or trait-like features defining PMDD. METHODS Patients and controls were scanned using structural magnetic resonance imaging during the mid-follicular and late-luteal phase of the menstrual cycle. Group-by-phase interaction effects on cortical architecture metrics (cortical thickness, gyrification index, cortical complexity, and sulcal depth) were assessed using surface-based morphometry. RESULTS Independently of menstrual cycle phase, a main effect of diagnostic group on surface metrics was found, primarily illustrating thinner cortices (0.3 < Cohen's d > 1.1) and lower gyrification indices (0.4 < Cohen's d > 1.0) in patients compared to controls. Furthermore, menstrual cycle-specific effects were detected across all participants, depicting a decrease in cortical thickness (0.4 < Cohen's d > 1.7) and region-dependent changes in cortical folding metrics (0.4 < Cohen's d > 2.2) from the mid-follicular to the late luteal phase. LIMITATIONS Small effects (d = 0.3) require a larger sample size to be accurately characterized. CONCLUSIONS These findings provide initial evidence of trait-like cortical characteristics of the brain of individuals with premenstrual dysphoric disorder, together with indications of menstrual cycle-related variations in cortical architecture in patients and controls. Further investigations exploring whether these differences constitute stable vulnerability markers or develop over the years may help understand PMDD etiology.
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Affiliation(s)
- Manon Dubol
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden
| | | | | | - Marie Bixo
- Department of Clinical Sciences, Umeå University, Sweden
| | - Erika Comasco
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden.
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Wang Y, Fan L, He Y, Yuan L, Li Z, Zheng W, Tang J, Li C, Jin K, Liu W, Chen X, Ouyang L, Ma X. Compensatory thickening of cortical thickness in early stage of schizophrenia. Cereb Cortex 2024; 34:bhae255. [PMID: 38897816 DOI: 10.1093/cercor/bhae255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Brain structural abnormality has been observed in the prodromal and early stages of schizophrenia, but the mechanism behind it is not clear. In this study, to explore the association between cortical abnormalities, metabolite levels, inflammation levels and clinical symptoms of schizophrenia, 51 drug-naive first-episode schizophrenia (FES) patients, 51 ultra-high risk for psychosis (UHR), and 51 healthy controls (HC) were recruited. We estimated gray matter volume (GMV), cortical thickness (CT), concentrations of different metabolites, and inflammatory marks among four groups (UHR converted to psychosis [UHR-C], UHR unconverted to psychosis [UHR-NC], FES, HC). UHR-C group had more CT in the right lateral occipital cortex and the right medial orbito-frontal cortex (rMOF), while a significant reduction in CT of the right fusiform cortex was observed in FES group. UHR-C group had significantly higher concentration of IL-6, while IL-17 could significantly predict CT of the right fusiform and IL-4 and IL-17 were significant predictors of CT in the rMOF. To conclude, it is reasonable to speculate that the increased CT in UHR-C group is related to the inflammatory response, and may participate in some compensatory mechanism, but might become exhaustive with the progress of the disease due to potential neurotoxic effects.
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Affiliation(s)
- Yujue Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lejia Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Wenxiao Zheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Jinsong Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Ke Jin
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Weiqing Liu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, #165 Sanlin road, Pudong New Area,Shanghai 200124, China
- Laboratory for Molecular Mechanisms of Brain Development, Center for Brain Science (CBS), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
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20
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Krug A, Stein F, David FS, Schmitt S, Brosch K, Pfarr JK, Ringwald KG, Meller T, Thomas-Odenthal F, Meinert S, Thiel K, Winter A, Waltemate L, Lemke H, Grotegerd D, Opel N, Repple J, Hahn T, Streit F, Witt SH, Rietschel M, Andlauer TFM, Nöthen MM, Philipsen A, Nenadić I, Dannlowski U, Kircher T, Forstner AJ. Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample. Transl Psychiatry 2024; 14:235. [PMID: 38830892 PMCID: PMC11148082 DOI: 10.1038/s41398-024-02936-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 06/05/2024] Open
Abstract
There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA. The cohort was split into two samples for exploratory and confirmatory factor analyses. All patients were scanned with 3-T MRI, and data was analyzed with the CAT-12 toolbox in SPM12. Psychopathological factor scores were correlated with gray matter volume (GMV) and cortical thickness (CT). Finally, factor scores were used for exploratory genetic analyses including genome-wide association studies (GWAS) and polygenic risk score (PRS) association analyses. Three factors (paranoid-hallucinatory syndrome, PHS; mania, MA; depression, DEP) were identified and cross-validated. PHS was negatively correlated with four GMV clusters comprising parts of the hippocampus, amygdala, angular, middle occipital, and middle frontal gyri. PHS was also negatively associated with the bilateral superior temporal, left parietal operculum, and right angular gyrus CT. No significant brain correlates were observed for the two other psychopathological factors. We identified genome-wide significant associations for MA and DEP. PRS for MDD and SZ showed a positive effect on PHS, while PRS for BD showed a positive effect on all three factors. This study investigated the relationship of lifetime psychopathological factors and brain morphometric and genetic markers. Results highlight the need for dimensional approaches, overcoming the limitations of the current psychiatric nosology.
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Affiliation(s)
- Axel Krug
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany.
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- German Centre for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Jena, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Hector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159, Mannheim, Germany
| | - Till F M Andlauer
- Department of Neurology, Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
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21
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Yan S, Lu J, Li Y, Tian T, Zhou Y, Zhu H, Qin Y, Zhu W. Impaired topological properties of cortical morphological brain networks correlate with motor symptoms in Parkinson's disease. J Neuroradiol 2024; 51:101155. [PMID: 37774912 DOI: 10.1016/j.neurad.2023.09.007] [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: 03/02/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is characterized by loss of selectively vulnerable neurons within the basal ganglia circuit and progressive atrophy in subcortical and cortical regions. However, the impact of neurodegenerative pathology on the topological organization of cortical morphological networks has not been explored. The aims of this study were to investigate altered network patterns of covariance in cortical thickness and complexity, and to evaluate how morphological network integrity in PD is related to motor impairment. METHODS Individual morphological networks were constructed for 50 PD patients and 46 healthy controls (HCs) by estimating interregional similarity distributions in surface-based indices. We performed graph theoretical analysis and network-based statistics to detect PD-related alterations and further examined the correlation of network metrics with clinical scores. Furthermore, support vector regression based on topological characteristics was applied to predict the severity of motor impairment in PD. RESULTS Compared with HCs, PD patients showed lower local efficiency (p = 0.004), normalized characteristic path length (p = 0.022), and clustering coefficient (p = 0.005) for gyrification index-based morphological brain networks. Nodal topological abnormalities were mainly in the frontal, parietal and temporal regions, and impaired morphological connectivity was involved in the sensorimotor and default mode networks. The support vector regression model using network-based features allowed prediction of motor symptom severity with a correlation coefficient of 0.606. CONCLUSIONS This study identified a disrupted topological organization of cortical morphological networks that could substantially advance our understanding of the network degeneration mechanism of PD and might offer indicators for monitoring disease progression.
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Affiliation(s)
- Su Yan
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Lu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of CT & MRI, The First Affiliated Hospital, College of Medicine, Shihezi University, Shihezi, China, 107 North Second Road
| | - Yuanhao Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tian Tian
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yiran Zhou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongquan Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Qin
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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22
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Qiu X, Yang J, Hu X, Li J, Zhao M, Ren F, Weng X, Edden RAE, Gao F, Wang J. Association between hearing ability and cortical morphology in the elderly: multiparametric mapping, cognitive relevance, and neurobiological underpinnings. EBioMedicine 2024; 104:105160. [PMID: 38788630 PMCID: PMC11140565 DOI: 10.1016/j.ebiom.2024.105160] [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: 10/17/2023] [Revised: 04/30/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Hearing impairment is a common condition in the elderly. However, a comprehensive understanding of its neural correlates is still lacking. METHODS We recruited 284 elderly adults who underwent structural MRI, magnetic resonance spectroscopy, audiometry, and cognitive assessments. Individual hearing abilities indexed by pure tone average (PTA) were correlated with multiple structural MRI-derived cortical morphological indices. For regions showing significant correlations, mediation analyses were performed to examine their role in the relationship between hearing ability and cognitive function. Finally, the correlation maps between hearing ability and cortical morphology were linked with publicly available connectomic gradient, transcriptomic, and neurotransmitter maps. FINDINGS Poorer hearing was related to cortical thickness (CT) reductions in widespread regions and gyrification index (GI) reductions in the right Area 52 and Insular Granular Complex. The GI in the right Area 52 mediated the relationship between hearing ability and executive function. This mediating effect was further modulated by glutamate and N-acetylaspartate levels in the right auditory region. The PTA-CT correlation map followed microstructural connectomic hierarchy, were related to genes involved in certain biological processes (e.g., glutamate metabolic process), cell types (e.g., excitatory neurons and astrocytes), and developmental stages (i.e., childhood to young adulthood), and covaried with dopamine receptor 1, dopamine transporter, and fluorodopa. The PTA-GI correlation map was related to 5-hydroxytryptamine receptor 2a. INTERPRETATION Poorer hearing is associated with cortical thinning and folding reductions, which may be engaged in the relationship between hearing impairment and cognitive decline in the elderly and have different neurobiological substrates. FUNDING See the Acknowledgements section.
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Affiliation(s)
- Xiaofan Qiu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Jing Yang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xin Hu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Junle Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Min Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Fuxin Ren
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xuchu Weng
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, Guangzhou, China
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Fei Gao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, Guangzhou, China.
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23
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Scheliga S, Dohrn MF, Habel U, Lampert A, Rolke R, Lischka A, van den Braak N, Spehr M, Jo HG, Kellermann T. Reduced Gray Matter Volume and Cortical Thickness in Patients With Small-Fiber Neuropathy. THE JOURNAL OF PAIN 2024; 25:104457. [PMID: 38211845 DOI: 10.1016/j.jpain.2024.01.001] [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: 06/01/2023] [Revised: 12/08/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Small-fiber neuropathy (SFN) is defined by degeneration or dysfunction of peripheral sensory nerve endings. Central correlates have been identified on the level of gray matter volume (GMV) and cortical thickness (CT) changes. However, across SFN etiologies knowledge about a common structural brain signature is still lacking. Therefore, we recruited 26 SFN patients and 25 age- and sex-matched healthy controls to conduct voxel-based- and surface-based morphometry. Across all patients, we found reduced GMV in widespread frontal regions, left caudate, insula and superior parietal lobule. Surface-based morphometry analysis revealed reduced CT in the right precentral gyrus of SFN patients. In a region-based approach, patients had reduced GMV in the left caudate. Since pathogenic gain-of-function variants in voltage-gated sodium channels (Nav) have been associated with SFN pathophysiology, we explored brain morphological patterns in a homogenous subsample of patients carrying rare heterozygous missense variants. Whole brain- and region-based approaches revealed GMV reductions in the bilateral caudate for Nav variant carriers. Further research is needed to analyze the specific role of Nav variants for structural brain alterations. Together, we conclude that SFN patients have specific GMV and CT alterations, potentially forming potential new central biomarkers for this condition. Our results might help to better understand underlying or compensatory mechanisms of chronic pain perception in the future. PERSPECTIVE: This study reveals structural brain changes in small-fiber neuropathy (SFN) patients, particularly in frontal regions, caudate, insula, and parietal lobule. Notably, individuals with SFN and specific Nav variants exhibit bilateral caudate abnormalities. These findings may serve as potential central biomarkers for SFN and provide insights into chronic pain perception mechanisms.
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Affiliation(s)
- Sebastian Scheliga
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Maike F Dohrn
- Department of Neurology, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Angelika Lampert
- Institute of Neurophysiology, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Roman Rolke
- Department of Palliative Medicine, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Annette Lischka
- Institute for Human Genetics and Genomic Medicine, Medical Faculty RWTH Aachen University, Aachen, Germany
| | | | - Marc Spehr
- Department of Chemosensation, RWTH Aachen University, Institute for Biology II, Aachen, Germany
| | - Han-Gue Jo
- School of Computer Information and Communication Engineering, Kunsan National University, Gunsan, South Korea
| | - Thilo Kellermann
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
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Saglam Y, Ermis C, Takir S, Oz A, Hamid R, Kose H, Bas A, Karacetin G. The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder. Acad Radiol 2024:S1076-6332(24)00222-8. [PMID: 38704285 DOI: 10.1016/j.acra.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/25/2024] [Accepted: 04/11/2024] [Indexed: 05/06/2024]
Abstract
RATIONALE AND OBJECTIVES To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes using machine learning (ML) algorithms. METHOD High-resolution T1-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulcal depth (SD), fractal dimension (FD), and brain volumes. After the feature selection step, ML classifiers were applied for each feature set and the combination of them. The SHapley Additive exPlanations (SHAP) technique was implemented to interpret the contribution of each feature. FINDINGS 144 adolescents (16.2 ± 1.4 years, female=39%) with EOS (n = 81) and EBD (n = 63) were included. The Adaptive Boosting (AdaBoost) algorithm had the highest accuracy (82.75%) in the whole dataset that includes all variables from Destrieux atlas. The best-performing algorithms were K-nearest neighbors (KNN) for FD subset, support vector machine (SVM) for SD subset, and AdaBoost for GI subset. The KNN algorithm had the highest accuracy (accuracy=79.31%) in the whole dataset from the Desikan-Killiany-Tourville atlas. CONCLUSION This study demonstrates the use of ML in the differential diagnosis of EOS and EBD using surface-based morphometry measurements. Future studies could focus on multicenter data for the validation of these results.
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Affiliation(s)
- Yesim Saglam
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey.
| | - Cagatay Ermis
- Queen Silvia Children's Hospital, Department of Child Psychiatry, Gothenburg, Sweden
| | - Seyma Takir
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Oz
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Rauf Hamid
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hatice Kose
- Department of Artificial Intelligence and Data Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Ahmet Bas
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gul Karacetin
- Department of Child and Adolescent Psychiatry, University of Health Sciences, Bakirkoy Prof Dr Mazhar Osman Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
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Miron G, Müller PM, Hohmann L, Oltmanns F, Holtkamp M, Meisel C, Chien C. Cortical Thickness Patterns of Cognitive Impairment Phenotypes in Drug-Resistant Temporal Lobe Epilepsy. Ann Neurol 2024; 95:984-997. [PMID: 38391006 DOI: 10.1002/ana.26893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 01/26/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVE In temporal lobe epilepsy (TLE), a taxonomy classifying patients into 3 cognitive phenotypes has been adopted: minimally, focally, or multidomain cognitively impaired (CI). We examined gray matter (GM) thickness patterns of cognitive phenotypes in drug-resistant TLE and assessed potential use for predicting postsurgical cognitive outcomes. METHODS TLE patients undergoing presurgical evaluation were categorized into cognitive phenotypes. Network edge weights and distances were calculated using type III analysis of variance F-statistics from comparisons of GM regions within each TLE cognitive phenotype and age- and sex-matched healthy participants. In resected patients, logistic regression models (LRMs) based on network analysis results were used for prediction of postsurgical cognitive outcome. RESULTS A total of 124 patients (63 females, mean age ± standard deviation [SD] = 36.0 ± 12.0 years) and 117 healthy controls (63 females, mean age ± SD = 36.1 ± 12.0 years) were analyzed. In the multidomain CI group (n = 66, 53.2%), 28 GM regions were significantly thinner compared to healthy controls. Focally impaired patients (n = 37, 29.8%) showed 13 regions, whereas minimally impaired patients (n = 21, 16.9%) had 2 significantly thinner GM regions. Regions affected in both multidomain and focally impaired patients included the anterior cingulate cortex, medial prefrontal cortex, medial temporal, and lateral temporal regions. In 69 (35 females, mean age ± SD = 33.6 ± 18.0 years) patients who underwent surgery, LRMs based on network-identified GM regions predicted postsurgical verbal memory worsening with a receiver operating curve area under the curve of 0.70 ± 0.15. INTERPRETATION A differential pattern of GM thickness can be found across different cognitive phenotypes in TLE. Including magnetic resonance imaging with clinical measures associated with cognitive profiles has potential in predicting postsurgical cognitive outcomes in drug-resistant TLE. ANN NEUROL 2024;95:984-997.
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Affiliation(s)
- Gadi Miron
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Paul Manuel Müller
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Louisa Hohmann
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Frank Oltmanns
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Martin Holtkamp
- Epilepsy Center Berlin-Brandenburg, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Epilepsy Center Berlin-Brandenburg, Institute for Diagnostics of Epilepsy, Berlin, Germany
| | - Christian Meisel
- Computational Neurology, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
| | - Claudia Chien
- Experimental Clinical and Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Morabito R, Cammaroto S, Militi A, Smorto C, Anfuso C, Lavano A, Tomasello F, Di Lorenzo G, Brigandì A, Sorbera C, Bonanno L, Ielo A, Vatrano M, Marino S, Cacciola A, Cerasa A, Quartarone A. The Role of Treatment-Related Parameters and Brain Morphology in the Lesion Volume of Magnetic-Resonance-Guided Focused Ultrasound Thalamotomy in Patients with Tremor-Dominant Neurological Conditions. Bioengineering (Basel) 2024; 11:373. [PMID: 38671794 PMCID: PMC11047844 DOI: 10.3390/bioengineering11040373] [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: 03/13/2024] [Revised: 04/04/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
PURPOSE To determine the best predictor of lesion volume induced by magnetic resonance (MR)-guided focused ultrasound (MRgFUS) thalamotomy in patients with tremor-dominant symptoms in Parkinson's disease (PD) and essential tremor (ET) patients. METHODS Thirty-six neurological patients with medication-refractory tremor (n°19 PD; n°17 ET) were treated using a commercial MRgFUS brain system (Exablate Neuro 4000, Insightec) integrated with a 1.5 T MRI unit (Sigma HDxt; GE Medical System). Linear regression analysis was used to determine how the demographic, clinical, radiological (Fazekas scale), volumetric (total GM/WM/CSF volume, cortical thickness), and MRgFUS-related parameters [Skull Density Ratio (SDR), n° of transducer elements, n° of sonications, skull area, maximal energy delivered (watt), maximal power delivered (joule), maximal sonication time delivered, maximal mean temperature reached (T°C_max), accumulated thermal dose (ATD)] impact on ventral intermediate (VIM)-thalamotomy-related 3D volumetric lesions of necrosis and edema. RESULTS The VIM thalamotomy was clinically efficacious in improving the tremor symptoms of all the patients as measured at 1 week after treatment. Multiple regression analysis revealed that T°C_max and n° of transducer elements were the best predictors of the necrosis and edema volumes. Moreover, total WM volume also predicted the size of necrosis. CONCLUSIONS Our study provides new insights into the clinical MRgFUS procedures that can be used to forecast brain lesion size and improve treatment outcomes.
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Affiliation(s)
- Rosa Morabito
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Simona Cammaroto
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Annalisa Militi
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Chiara Smorto
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Carmelo Anfuso
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Angelo Lavano
- Mater Domini University Hospital, Magna Graecia University, 88100 Catanzaro, Italy;
| | | | - Giuseppe Di Lorenzo
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Amelia Brigandì
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Chiara Sorbera
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Lilla Bonanno
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Augusto Ielo
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | | | - Silvia Marino
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98122 Messina, Italy;
| | - Antonio Cerasa
- S. Anna Institute, 88900 Crotone, Italy;
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), 98164 Messina, Italy
- Pharmacotechnology Documentation and Transfer Unit, Preclinical and Translational Pharmacology, Department of Pharmacy, Health Science and Nutrition, University of Calabria, 87036 Arcavacata, Italy
| | - Angelo Quartarone
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy; (R.M.); (S.C.); (A.M.); (C.S.); (C.A.); (A.B.); (C.S.); (L.B.); (A.I.); (S.M.)
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Yang Y, Hu Y, Chen Y, Gu W, Nie S. Identifying Leukoaraiosis with Mild Cognitive Impairment by Fusing Multiple MRI Morphological Metrics and Ensemble Machine Learning. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:666-678. [PMID: 38343235 PMCID: PMC11031532 DOI: 10.1007/s10278-023-00958-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/12/2023] [Accepted: 10/30/2023] [Indexed: 04/20/2024]
Abstract
Leukoaraiosis (LA) is strongly associated with impaired cognition and increased dementia risk. Determining effective and robust methods of identifying LA patients with mild cognitive impairment (LA-MCI) is important for clinical intervention and disease monitoring. In this study, an ensemble learning method that combines multiple magnetic resonance imaging (MRI) morphological features is proposed to distinguish LA-MCI patients from LA patients lacking cognitive impairment (LA-nCI). Multiple comprehensive morphological measures (including gray matter volume (GMV), cortical thickness (CT), surface area (SA), cortical volume (CV), sulcus depth (SD), fractal dimension (FD), and gyrification index (GI)) are extracted from MRI to enrich model training on disease characterization information. Then, based on the general extreme gradient boosting (XGBoost) classifier, we leverage a weighted soft-voting ensemble framework to ensemble a data-level resampling method (Fusion + XGBoost) and an algorithm-level focal loss (FL)-improved XGBoost model (FL-XGBoost) to overcome class-imbalance learning problems and provide superior classification performance and stability. The baseline XGBoost model trained on an original imbalanced dataset had a balanced accuracy (Bacc) of 78.20%. The separate Fusion + XGBoost and FL-XGBoost models achieved Bacc scores of 80.53 and 81.25%, respectively, which are clear improvements (i.e., 2.33% and 3.05%, respectively). The fused model distinguishes LA-MCI from LA-nCI with an overall accuracy of 84.82%. Sensitivity and specificity were also well improved (85.50 and 84.14%, respectively). This improved model has the potential to facilitate the clinical diagnosis of LA-MCI.
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Affiliation(s)
- Yifeng Yang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, People's Republic of China
| | - Ying Hu
- Department of Radiology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, 200127, Shanghai, People's Republic of China
| | - Yang Chen
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, People's Republic of China
| | - Weidong Gu
- Department of Anesthesiology, Huadong Hospital, Fudan University, 200040, Shanghai, People's Republic of China.
| | - Shengdong Nie
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, People's Republic of China.
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28
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Yang L, Yang W, Tang F, Yuan K, Zhang J, Liu J. Hereditary and cortical morphological biomarker of sensitivity to reward in short-term withdrawal methamphetamine abusers. Cereb Cortex 2024; 34:bhae169. [PMID: 38679482 DOI: 10.1093/cercor/bhae169] [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: 02/13/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 05/01/2024] Open
Abstract
Higher sensitivity to reward (SR) and weaker sensitivity to punishment (SP) construct the fundamental craving characteristics of methamphetamine abuse. However, few studies have appraised relationships between SR/SP (SR or SP) and cortical morphological alterations in methamphetamine abusers and whether hereditary factors take effects on SR/SP is unclear. Based on surface-based morphometric analysis, cortical discrepancy was investigated between 38 methamphetamine abusers and 37 healthy controls. Within methamphetamine abusers, correlation profiling was performed to discover associations among aberrant neuroimaging substrates, SR, SP, and craving. According to nine single nucleotide polymorphism sites of dopamine-related genes, we conducted univariate general linear model to find different effects of genotypes on cortical alterations and SR/SP/craving (SR, SP, or craving). Ultimately, mediation analyses were conducted among single nucleotide polymorphism sites, SR/SP/craving, and cortical morphological alterations to discover their association pathways. Compared to healthy controls, thinner cortices in inferior temporal gyrus, lateral orbitofrontal cortex, medial orbitofrontal cortex, inferior parietal lobule, and lateral occipital cortex in the left hemisphere were found in methamphetamine abusers (P < 0.05, family-wise error corrected). Cortical thickness in the inferior temporal gyrus was negatively correlated with SR scores. We found that rs1800497 A-containing genotypes had lower cortical thickness in the left inferior parietal lobule than the GG genotype. The rs5751876 had effects on SR scores. This study would provide convincing biomarkers for SR in methamphetamine abusers and offer potential genetic targets for personalizing relapse prevention.
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Affiliation(s)
- Longtao Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
| | - Wenhan Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
| | - Fei Tang
- Department of Radiology, The Second Xiangya Hospital of Central South University, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, No. 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, PR China
| | - Jun Zhang
- Hunan Judicial Police Academy, No. 9 Broad Third Road, Changsha Economic and Technological Development Zone, Changsha, Hunan 410138, PR China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital of Central South University, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
- Clinical Research Center for Medical Imaging in Hunan Province, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
- Department of Radiology Quality Control Center in Hunan Province, No. 139 Middle Renmin Road, Furong District, Changsha, Hunan 410011, PR China
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29
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Berger L, Mouthon M, Jost LB, Schwab S, Aybek S, Annoni JM. Does Diglossia Impact Brain Structure? Data from Swiss German Early Diglossic Speakers. Brain Sci 2024; 14:304. [PMID: 38671956 PMCID: PMC11048535 DOI: 10.3390/brainsci14040304] [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: 02/05/2024] [Revised: 03/16/2024] [Accepted: 03/16/2024] [Indexed: 04/28/2024] Open
Abstract
(1) Background: Bilingualism has been reported to shape the brain by inducing cortical changes in cortical and subcortical language and executive networks. Similar yet different to bilingualism, diglossia is common in Switzerland, where the German-speaking population switches between an everyday spoken Swiss German (CH-GER) dialect and the standard German (stGER) used for reading and writing. However, no data are available for diglossia, defined as the use of different varieties or dialects of the same language, regarding brain structure. The aim of our study is to investigate if the presence of this type of diglossia has an impact on the brain structure, similar to the effects seen in bilingualism. (2) Methods: T1-weighted anatomical MRI scans of participants were used to compare the grey matter density and grey matter volume of 22 early diglossic CH-GER-speaking and 20 non-diglossic French-speaking right-handed university students, matched for age, linguistics and academic background. The images were processed with Statistical Parametric Mapping SPM12 and analyzed via voxel- and surface-based morphometry. (3) Results: A Bayesian ANCOVA on the whole brain revealed no differences between the groups. Also, for the five regions of interest (i.e., planum temporale, caudate nucleus, ACC, DLPFC and left interior parietal lobule), no differences in the cortical volume or thickness were found using the same statistical approach. (4) Conclusion: The results of this study may suggest that early diglossia does not shape the brain structure in the same manner as bilingualism.
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Affiliation(s)
- Lea Berger
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
- Lucern Regional Hospital Sursee, 6210 Sursee, Switzerland
| | - Michael Mouthon
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
| | - Lea B. Jost
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
| | - Sandra Schwab
- Department of French, Faculty of Art, University of Bern, 3012 Bern, Switzerland;
| | - Selma Aybek
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
- Functional Neurological Disorder (FND) Research Group, Department of Clinical Neuroscience, Faculty of Science and Medicine, University of Bern, 3012 Bern, Switzerland
| | - Jean-Marie Annoni
- Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland; (L.B.); (M.M.); (L.B.J.); (S.A.)
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30
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Schmitzer L, Kaczmarz S, Göttler J, Hoffmann G, Kallmayer M, Eckstein HH, Hedderich DM, Kufer J, Zimmer C, Preibisch C, Hyder F, Sollmann N. Macro- and microvascular contributions to cerebral structural alterations in patients with asymptomatic carotid artery stenosis. J Cereb Blood Flow Metab 2024:271678X241238935. [PMID: 38506325 DOI: 10.1177/0271678x241238935] [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] [Indexed: 03/21/2024]
Abstract
Atherosclerosis can underly internal carotid artery stenosis (ICAS), a major risk factor for ischemic stroke, as well as small vessel disease (SVD). This study aimed to investigate hemodynamics and structural alterations associated with SVD in ICAS patients. 28 patients with unilateral asymptomatic ICAS and 30 age-matched controls underwent structural (T1-/T2-weighted and diffusion tensor imaging [DTI]) and hemodynamic (pseudo-continuous arterial spin labeling and dynamic susceptibility contrast) magnetic resonance imaging. SVD-related alterations were assessed using free water (FW), FW-corrected DTI, and peak-width of skeletonized mean diffusivity (PSMD). Furthermore, cortical thickness, cerebral blood flow (CBF), and capillary transit time heterogeneity (CTH) were analyzed. Ipsilateral to the stenosis, cortical thickness was significantly decreased in the posterior dorsal cingulate cortex (p = 0.024) and temporal pole (p = 0.028). ICAS patients exhibited elevated PSMD (p = 0.005), FW (p < 0.001), and contralateral alterations in FW-corrected DTI metrics. We found significantly lateralized CBF (p = 0.011) and a tendency for lateralized CTH (p = 0.067) in the white matter (WM) related to ICAS. Elevated PSMD and FW may indicate a link between SVD and WM changes. Contralateral alterations were seen in FW-corrected DTI, whereas hemodynamic and cortical changes were mainly ipsilateral, suggesting SVD might influence global brain changes concurrent with ICAS-related hemodynamic alterations.
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Affiliation(s)
- Lena Schmitzer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology & Biomedical Imaging, Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, USA
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephan Kaczmarz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology & Biomedical Imaging, Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, USA
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Philips GmbH Market DACH, Hamburg, Germany
| | - Jens Göttler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology & Biomedical Imaging, Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, USA
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Gabriel Hoffmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dennis Martin Hedderich
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan Kufer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Radiology & Biomedical Imaging, Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, USA
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christine Preibisch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Fahmeed Hyder
- Department of Radiology & Biomedical Imaging, Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, USA
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
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Tays GD, Hupfeld KE, McGregor HR, Beltran NE, De Dios YE, Mulder E, Bloomberg JJ, Mulavara AP, Wood SJ, Seidler RD. Daily artificial gravity partially mitigates vestibular processing changes associated with head-down tilt bedrest. NPJ Microgravity 2024; 10:27. [PMID: 38472244 PMCID: PMC10933323 DOI: 10.1038/s41526-024-00367-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 02/15/2024] [Indexed: 03/14/2024] Open
Abstract
Microgravity alters vestibular signaling and reduces body loading, driving sensory reweighting. The unloading effects can be modelled using head-down tilt bedrest (HDT). Artificial gravity (AG) has been hypothesized to serve as an integrated countermeasure for the declines associated with HDT and spaceflight. Here, we examined the efficacy of 30 min of daily AG to counteract brain and behavior changes from 60 days of HDT. Two groups received 30 min of AG delivered via short-arm centrifuge daily (n = 8 per condition), either in one continuous bout, or in 6 bouts of 5 min. To improve statistical power, we combined these groups (AG; n = 16). Another group served as controls in HDT with no AG (CTRL; n = 8). We examined how HDT and AG affect vestibular processing by collecting fMRI scans during vestibular stimulation. We collected these data prior to, during, and post-HDT. We assessed brain activation initially in 12 regions of interest (ROIs) and then conducted an exploratory whole brain analysis. The AG group showed no changes in activation during vestibular stimulation in a cerebellar ROI, whereas the CTRL group showed decreased activation specific to HDT. Those that received AG and showed little pre- to post-HDT changes in left vestibular cortex activation had better post-HDT balance performance. Whole brain analyses identified increased pre- to during-HDT activation in CTRLs in the right precentral gyrus and right inferior frontal gyrus, whereas AG maintained pre-HDT activation levels. These results indicate that AG could mitigate activation changes in vestibular processing that is associated with better balance performance.
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Affiliation(s)
- G D Tays
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - K E Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - H R McGregor
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | | | | | - E Mulder
- German Aerospace Center (DLR), Cologne, Germany
| | | | | | - S J Wood
- NASA Johnson Space Center, Houston, TX, USA
| | - R D Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
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Spooner RK, Hizli BJ, Bahners BH, Schnitzler A, Florin E. Modulation of DBS-induced cortical responses and movement by the directionality and magnitude of current administered. NPJ Parkinsons Dis 2024; 10:53. [PMID: 38459031 PMCID: PMC10923868 DOI: 10.1038/s41531-024-00663-9] [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: 09/11/2023] [Accepted: 02/16/2024] [Indexed: 03/10/2024] Open
Abstract
Subthalamic deep brain stimulation (STN-DBS) is an effective therapy for alleviating motor symptoms in people with Parkinson's disease (PwP), although some may not receive optimal clinical benefits. One potential mechanism of STN-DBS involves antidromic activation of the hyperdirect pathway (HDP), thus suppressing cortical beta synchrony to improve motor function, albeit the precise mechanisms underlying optimal DBS parameters are not well understood. To address this, 18 PwP with STN-DBS completed a 2 Hz monopolar stimulation of the left STN during MEG. MEG data were imaged in the time-frequency domain using minimum norm estimation. Peak vertex time series data were extracted to interrogate the directional specificity and magnitude of DBS current on evoked and induced cortical responses and accelerometer metrics of finger tapping using linear mixed-effects models and mediation analyses. We observed increases in evoked responses (HDP ~ 3-10 ms) and synchronization of beta oscillatory power (14-30 Hz, 10-100 ms) following DBS pulse onset in the primary sensorimotor cortex (SM1), supplementary motor area (SMA) and middle frontal gyrus (MFG) ipsilateral to the site of stimulation. DBS parameters significantly modulated neural and behavioral outcomes, with clinically effective contacts eliciting significant increases in medium-latency evoked responses, reductions in induced SM1 beta power, and better movement profiles compared to suboptimal contacts, often regardless of the magnitude of current applied. Finally, HDP-related improvements in motor function were mediated by the degree of SM1 beta suppression in a setting-dependent manner. Together, these data suggest that DBS-evoked brain-behavior dynamics are influenced by the level of beta power in key hubs of the basal ganglia-cortical loop, and this effect is exacerbated by the clinical efficacy of DBS parameters. Such data provides novel mechanistic and clinical insight, which may prove useful for characterizing DBS programming strategies to optimize motor symptom improvement in the future.
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Affiliation(s)
- Rachel K Spooner
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
| | - Baccara J Hizli
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Bahne H Bahners
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Esther Florin
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
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Kwak S, Kim H, Kim KY, Oh DY, Lee D, Nam G, Lee JY. Neuroanatomical and neurocognitive correlates of delusion in Alzheimer's disease and mild cognitive impairment. BMC Neurol 2024; 24:89. [PMID: 38448803 PMCID: PMC10916051 DOI: 10.1186/s12883-024-03568-5] [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: 08/11/2023] [Accepted: 02/12/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Neuropsychiatric symptoms and delusions are highly prevalent among people with dementia. However, multiple roots of neurobiological bases and shared neural basis of delusion and cognitive function remain to be characterized. By utilizing a fine-grained multivariable approach, we investigated distinct neuroanatomical correlates of delusion symptoms across a large population of dementing illnesses. METHODS In this study, 750 older adults with mild cognitive impairment and Alzheimer's disease completed brain structural imaging and neuropsychological assessment. We utilized principal component analysis followed by varimax rotation to identify the distinct multivariate correlates of cortical thinning patterns. Five of the cognitive domains were assessed whether the general cognitive abilities mediate the association between cortical thickness and delusion. RESULTS The result showed that distributed thickness patterns of temporal and ventral insular cortex (component 2), inferior and lateral prefrontal cortex (component 1), and somatosensory-visual cortex (component 5) showed negative correlations with delusions. Subsequent mediation analysis showed that component 1 and 2, which comprises inferior frontal, anterior insula, and superior temporal regional thickness accounted for delusion largely through lower cognitive functions. Specifically, executive control function assessed with the Trail Making Test mediated the relationship between two cortical thickness patterns and delusions. DISCUSSION Our findings suggest that multiple distinct subsets of brain regions underlie the delusions among older adults with cognitive impairment. Moreover, a neural loss may affect the occurrence of delusion in dementia largely due to impaired general cognitive abilities.
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Affiliation(s)
- Seyul Kwak
- Department of Psychology, Pusan National University, Busan, Republic of Korea
| | - Hairin Kim
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea
| | - Keun You Kim
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea
| | - Da Young Oh
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea
| | - Dasom Lee
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea
| | - Gieun Nam
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Republic of Korea.
- Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Májovská J, Nestrašil I, Ahmed A, Bondy MT, Klempíř J, Jahnová H, Schneider SA, Horáková D, Krásenský J, Ješina P, Vaneckova M, Nascene DR, Whitley CB, Jarnes JR, Magner M, Dušek P. Quantitative brain morphometry identifies cerebellar, cortical, and subcortical gray and white matter atrophy in late-onset Tay-Sachs disease. J Inherit Metab Dis 2024; 47:327-339. [PMID: 38112342 PMCID: PMC10947897 DOI: 10.1002/jimd.12700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/08/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
Cerebellar atrophy is a characteristic sign of late-onset Tay-Sachs disease (LOTS). Other structural neuroimaging abnormalities are inconsistently reported. Our study aimed to perform a detailed whole-brain analysis and quantitatively characterize morphometric changes in LOTS patients. Fourteen patients (8 M/6F) with LOTS from three centers were included in this retrospective study. For morphometric brain analyses, we used deformation-based morphometry, voxel-based morphometry, surface-based morphometry, and spatially unbiased cerebellar atlas template. The quantitative whole-brain morphometric analysis confirmed the finding of profound pontocerebellar atrophy with most affected cerebellar lobules V and VI in LOTS patients. Additionally, the atrophy of structures mainly involved in motor control, including bilateral ventral and lateral thalamic nuclei, primary motor and sensory cortex, supplementary motor area, and white matter regions containing corticospinal tract, was present. The atrophy of the right amygdala, hippocampus, and regions of occipital, parietal and temporal white matter was also observed in LOTS patients in contrast with controls (p < 0.05, FWE corrected). Patients with dysarthria and those initially presenting with ataxia had more severe cerebellar atrophy. Our results show predominant impairment of cerebellar regions responsible for speech and hand motor function in LOTS patients. Widespread morphological changes of motor cortical and subcortical regions and tracts in white matter indicate abnormalities in central motor circuits likely coresponsible for impaired speech and motor function.
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Affiliation(s)
- Jitka Májovská
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital Prague, Czech Republic
| | - Igor Nestrašil
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Alia Ahmed
- Advanced Therapies Program, Division of Genetics and Metabolism, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Monica T Bondy
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Jiří Klempíř
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - Helena Jahnová
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital Prague, Czech Republic
| | | | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - Jan Krásenský
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - Pavel Ješina
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - David R Nascene
- Department of Neuroradiology, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Chester B Whitley
- Advanced Therapies Program, Division of Genetics and Metabolism, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
- Gene Therapy and Diagnostic Laboratory, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
- Department of Experimental and Clinical Pharmacology, University of Minnesota, College of Pharmacy, Minneapolis, MN, USA
| | - Jeanine R Jarnes
- Advanced Therapies Program, Division of Genetics and Metabolism, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
- Department of Experimental and Clinical Pharmacology, University of Minnesota, College of Pharmacy, Minneapolis, MN, USA
| | - Martin Magner
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
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Jing L, Yan T, Zhou J, Xie Y, Qiu J, Wang Y, Lu W. Elevated Intraocular Pressure Moderated Brain Morphometry in High-tension Glaucoma: a Structural MRI Study. Clin Neuroradiol 2024; 34:173-179. [PMID: 37798542 DOI: 10.1007/s00062-023-01351-6] [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: 07/30/2022] [Accepted: 09/19/2023] [Indexed: 10/07/2023]
Abstract
High-tension glaucoma (HTG) is one of the most common forms of primary open angle glaucoma. The purpose of this study was to assess in HTG brain, whether the elevated intraocular pressure (IOP) had an effect on the brain morphological alterations via structural MRI. We acquired T1WI structural MRI images from 56 subjects including 36 HTG patients and 20 healthy controls. We tested whether the brain morphometry was associated with the mean IOP in HTG patients. Moreover, we conducted moderation analysis to assess the interactions between subject type (HTG - healthy controls) and IOP. In HTG group, cortical thickness was negatively correlated with the mean IOP in the left rostral middle frontal gyrus, left pars triangularis, right precentral gyrus, left postcentral gyrus, left superior temporal gyrus (p < 0.05, FDR corrected). Four of the five regions negatively correlated with mean IOP showed reduced cortical thickness in HTG group compared with healthy controls, which were the left rostral middle frontal gyrus, left pars triangularis, left postcentral gyrus and left superior temporal gyrus (p < 0.05, FDR corrected). IOP moderated the interaction between subject type and cortical thickness of the left rostral middle frontal gyrus (p = 0.0017), left pars triangularis (p = 0.0011), left postcentral gyrus (p = 0.0040) and left superior temporal gyrus (p = 0.0066). Elevated IOP may result brain morphometry alterations such as cortical thinning. The relationship between IOP and brain morphometry underlines the importance of the IOP regulation for HTG patients.
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Affiliation(s)
- Liang Jing
- Center of Radiation Therapy, Taian Tumor Hospital, Taian, China
| | - Tingqin Yan
- Department of Ophthalmology, Taian City Central Hospital, Taian, China
| | - Jian Zhou
- Department of Radiology, Taian City Central Hospital, Taian, China
| | - Yuanzhong Xie
- Department of Radiology, Taian City Central Hospital, Taian, China
| | - Jianfeng Qiu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Yi Wang
- Department of Ophthalmology, The Second Affiliated hospital of Shandong First Medical University, Taian, China.
| | - Weizhao Lu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
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36
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Filardi M, Gnoni V, Tamburrino L, Nigro S, Urso D, Vilella D, Tafuri B, Giugno A, De Blasi R, Zoccolella S, Logroscino G. Sleep and circadian rhythm disruptions in behavioral variant frontotemporal dementia. Alzheimers Dement 2024; 20:1966-1977. [PMID: 38183333 PMCID: PMC10984421 DOI: 10.1002/alz.13570] [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: 06/29/2023] [Revised: 10/09/2023] [Accepted: 11/09/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION Sleep and rest-activity rhythm alterations are common in neurodegenerative diseases. However, their characterization in patients with behavioral variant frontotemporal dementia (bvFTD) has proven elusive. We investigated rest-activity rhythm alterations, sleep disturbances, and their neural correlates in bvFTD. METHODS Twenty-seven bvFTD patients and 25 healthy controls completed sleep questionnaires and underwent 7 days of actigraphy while concurrently maintaining a sleep diary. Cortical complexity and thickness were calculated from T1-weighted magnetic resonance (MR) images. RESULTS Compared to controls, bvFTD patients showed longer time in bed (95% confidence interval [CI]: 79.31, 321.83) and total sleep time (95% CI: 24.38, 321.88), lower sleep efficiency (95% CI: -12.58, -95.54), and rest-activity rhythm alterations in the morning and early afternoon. Increased sleep duration was associated with reduced cortical thickness in frontal regions. DISCUSSION Patients with bvFTD showed longer sleep duration, lower sleep quality, and rest-activity rhythm alterations. Actigraphy could serve as a cost-effective and accessible tool for ecologically monitoring changes in sleep duration in bvFTD patients. HIGHLIGHTS We assessed sleep and circadian rhythms in behavioral variant frontotemporal dementia (bvFTD) using actigraphy. Patients with bvFTD show increased sleep duration and reduced sleep quality. Patients with bvFTD show rest-activity alterations in the morning and early afternoon. Sleep duration is associated with reduced cortical thickness in frontal regions. These alterations may represent an early sign of neurodegeneration.
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Affiliation(s)
- Marco Filardi
- Department of Translational Biomedicine and Neurosciences (DiBraiN)University of Bari Aldo MoroBariItaly
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Valentina Gnoni
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Ludovica Tamburrino
- Department of Translational Biomedicine and Neurosciences (DiBraiN)University of Bari Aldo MoroBariItaly
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Salvatore Nigro
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Daniele Urso
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Davide Vilella
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Benedetta Tafuri
- Department of Translational Biomedicine and Neurosciences (DiBraiN)University of Bari Aldo MoroBariItaly
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Alessia Giugno
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
| | - Roberto De Blasi
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
- Department of Diagnostic ImagingPia Fondazione “Card. G. Panico”TricaseItaly
| | - Stefano Zoccolella
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
- Neurology Unit, San Paolo HospitalAzienda Sanitaria Locale (ASL) BariBariItaly
| | - Giancarlo Logroscino
- Department of Translational Biomedicine and Neurosciences (DiBraiN)University of Bari Aldo MoroBariItaly
- Center for Neurodegenerative Diseases and the Aging BrainUniversity of Bari Aldo Moro at Pia Fondazione “Card. G. Panico”TricaseItaly
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Ruiz-Barrio I, Horta-Barba A, Aracil-Bolaños I, Martinez-Horta S, Kulisevsky J, Pagonabarraga J. Predicting Disability in Progressive Supranuclear Palsy Using Bedside Frontal-Lobe Signs. Mov Disord Clin Pract 2024; 11:248-256. [PMID: 38164060 DOI: 10.1002/mdc3.13958] [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: 09/13/2023] [Revised: 11/05/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Frontal lobe signs in progressive supranuclear palsy (PSP) are prevalent and occur early in the disease. Although they are recognized in clinical practice, studies are needed to systematically investigate them for an in-depth understanding of the neurological substrate and their potential prognostic implications in the disease. OBJECTIVES To study the predictive role of frontal lobe signs in PSP, as well as to describe their neuropsychological and anatomical correlations. METHODS Nine recognized signs of frontal lobe dysfunction were assessed in 61 patients with PSP. Those signs able to predict PSP Rating Scale (PSPRS) score at baseline were selected, a survival analysis was performed and associations with neuropsychological tests and cortical thickness parameters in brain MRI were studied. RESULTS Grasping, anosognosia and orobuccal apraxia predicted the PSPRS score independently of age, gender, clinical subtype and disease duration. The occurrence of groping in the first 4 years could be a predictor of survival. Grasping and anosognosia were associated with frontal cognitive dysfunction, whereas orobuccal apraxia and groping were related to a more widespread cognitive impairment, involving temporal-parietal areas. Presence of groping showed an extensive cortical atrophy, with predominant prefrontal, temporal and superior parietal cortical thinning. CONCLUSIONS Grasping, groping, anosognosia and orobuccal apraxia are easily evaluable bedside clinical signs that reflect distinct stages of disease progression. Grasping, anosognosia and orobuccal apraxia predict disease disability in patients with PSP, and early onset groping could be a survival predictor.
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Affiliation(s)
- Iñigo Ruiz-Barrio
- Universitat Autònoma de Barcelona (U.A.B.), Facultad de Medicina, Barcelona, Spain
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Andrea Horta-Barba
- Universitat Autònoma de Barcelona (U.A.B.), Facultad de Medicina, Barcelona, Spain
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ignacio Aracil-Bolaños
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Saül Martinez-Horta
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jaime Kulisevsky
- Universitat Autònoma de Barcelona (U.A.B.), Facultad de Medicina, Barcelona, Spain
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Javier Pagonabarraga
- Universitat Autònoma de Barcelona (U.A.B.), Facultad de Medicina, Barcelona, Spain
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Escelsior A, Inuggi A, Sterlini B, Bovio A, Marenco G, Bode J, Favilla L, Tardito S, Altosole T, Pereira da Silva B, Fenoglio D, Filaci G, Amore M, Serafini G. T-cell immunophenotype correlations with cortical thickness and white matter microstructure in bipolar disorder. J Affect Disord 2024; 348:179-190. [PMID: 38154587 DOI: 10.1016/j.jad.2023.12.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/20/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Inflammation and immunological alterations, such as T-cell and cytokine changes, are implicated in bipolar disorder (BD), with some evidence linking them to brain structural changes (e.g., cortical thickness (CT), gray matter (GM) volume and white matter (WM) microstructure). However, the connection between specific peripheral cell types, such as T-cells, and neuroimaging in BD remains scarcely investigated. AIMS OF THE STUDY This study aims to explore the link between T-cell immunophenotype and neuroradiological findings in BD. METHODS Our study investigated 43 type I BD subjects (22 depressive, 21 manic) and 26 healthy controls (HC), analyzing T lymphocyte immunophenotype and employing neuroimaging to assess CT for GM and fractional anisotropy (FA) for WM. RESULTS In lymphocyte populations, BD patients exhibited elevated CD4+ and CD4+ central memory (TCM) cells frequencies, but lower CD8+ effector memory (TEM) and terminal effector memory (TTEM) cells. Neuroimaging analysis revealed reduced CT in multiple brain regions in BD patients; and significant negative correlations between CD4 + TCM levels and CT of precuneus and fusiform gyrus. Tract-based spatial statistics (TBSS) analysis showed widespread alteration in WM microstructure in BD patients, with negative and positive correlations respectively between FA and radial diffusivity (RD) and CD4 + TCM. Additionally, positive and negative correlations were found respectively between FA and RD and the CD8 + TEM and CD8 + TTEM subsets. CONCLUSIONS Our research revealed distinct T lymphocyte changes and brain structure alterations in BD, underscoring possible immune-brain interactions, warranting further study and therapeutic exploration.
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Affiliation(s)
- Andrea Escelsior
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Alberto Inuggi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Bruno Sterlini
- Department of Experimental Medicine, University of Genoa, Genoa, Italy; Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, Genoa, Italy.
| | - Anna Bovio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Giacomo Marenco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Juxhin Bode
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Luca Favilla
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Samuele Tardito
- Center for Cancer & Immunology Research, Children's National Hospital, 111 Michigan Ave NW (5th floor), Washington, DC 20010, United States of America.
| | | | - Beatriz Pereira da Silva
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Daniela Fenoglio
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Gilberto Filaci
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Gianluca Serafini
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
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Yang Y, Yan M, Liu X, Li S, Lin G. Improve the diagnosis of idiopathic normal pressure hydrocephalus by combining abnormal cortical thickness and ventricular morphometry. Front Aging Neurosci 2024; 16:1338755. [PMID: 38486858 PMCID: PMC10937576 DOI: 10.3389/fnagi.2024.1338755] [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: 11/15/2023] [Accepted: 02/20/2024] [Indexed: 03/17/2024] Open
Abstract
Background The primary imaging markers for idiopathic Normal Pressure Hydrocephalus (iNPH) emphasize morphological measurements within the ventricular system, with no attention given to alterations in brain parenchyma. This study aimed to investigate the potential effectiveness of combining ventricular morphometry and cortical structural measurements as diagnostic biomarkers for iNPH. Methods A total of 57 iNPH patients and 55 age-matched healthy controls (HC) were recruited in this study. Firstly, manual measurements of ventricular morphology, including Evans Index (EI), z-Evans Index (z-EI), Cella Media Width (CMW), Callosal Angle (CA), and Callosal Height (CH), were conducted based on MRI scans. Cortical thickness measurements were obtained, and statistical analyses were performed using surface-based morphometric analysis. Secondly, three distinct models were developed using machine learning algorithms, each based on a different input feature: a ventricular morphology model (LVM), a cortical thickness model (CT), and a fusion model (All) incorporating both features. Model performances were assessed using 10-fold cross validation and tested on an independent dataset. Model interpretation utilized Shapley Additive Interpretation (SHAP), providing a visualization of the contribution of each variable in the predictive model. Finally, Spearman correlation coefficients were calculated to evaluate the relationship between imaging biomarkers and clinical symptoms. Results iNPH patients exhibited notable differences in cortical thickness compared to HC. This included reduced thickness in the frontal, temporal, and cingulate cortices, along with increased thickness in the supracentral gyrus. The diagnostic performance of the fusion model (All) for iNPH surpassed that of the single-feature models, achieving an average accuracy of 90.43%, sensitivity of 90.00%, specificity of 90.91%, and Matthews correlation coefficient (MCC) of 81.03%. This improvement in accuracy (6.09%), sensitivity (11.67%), and MCC (11.25%) compared to the LVM strategy was significant. Shap analysis revealed the crucial role of cortical thickness in the right isthmus cingulate cortex, emerging as the most influential factor in distinguishing iNPH from HC. Additionally, significant correlations were observed between the typical triad symptoms of iNPH patients and cortical structural alterations. Conclusion This study emphasizes the significant role of cortical structure changes in the diagnosis of iNPH, providing a novel insights for assisting clinicians in improving the identification and detection of iNPH.
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Affiliation(s)
| | | | | | - Shihong Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Guangwu Lin
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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Hughes GC, Chen EP, Browndyke JN, Szeto WY, DiMaio JM, Brinkman WT, Gaca JG, Blumenthal JA, Karhausen JA, Bisanar T, James ML, Yanez D, Li YJ, Mathew JP. Cognitive Effects of Body Temperature During Hypothermic Circulatory Arrest Trial (GOT ICE): A Randomized Clinical Trial Comparing Outcomes After Aortic Arch Surgery. Circulation 2024; 149:658-668. [PMID: 38084590 PMCID: PMC10922813 DOI: 10.1161/circulationaha.123.067022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/10/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Deep hypothermia has been the standard for hypothermic circulatory arrest (HCA) during aortic arch surgery. However, centers worldwide have shifted toward lesser hypothermia with antegrade cerebral perfusion. This has been supported by retrospective data, but there has yet to be a multicenter, prospective randomized study comparing deep versus moderate hypothermia during HCA. METHODS This was a randomized single-blind trial (GOT ICE [Cognitive Effects of Body Temperature During Hypothermic Circulatory Arrest]) of patients undergoing arch surgery with HCA plus antegrade cerebral perfusion at 4 US referral aortic centers (August 2016-December 2021). Patients were randomized to 1 of 3 hypothermia groups: DP, deep (≤20.0 °C); LM, low-moderate (20.1-24.0 °C); and HM, high-moderate (24.1-28.0 °C). The primary outcome was composite global cognitive change score between baseline and 4 weeks postoperatively. Analysis followed the intention-to-treat principle to evaluate if: (1) LM noninferior to DP on global cognitive change score; (2) DP superior to HM. The secondary outcomes were domain-specific cognitive change scores, neuroimaging findings, quality of life, and adverse events. RESULTS A total of 308 patients consented; 282 met inclusion and were randomized. A total of 273 completed surgery, and 251 completed the 4-week follow-up (DP, 85 [34%]; LM, 80 [34%]; HM, 86 [34%]). Mean global cognitive change score from baseline to 4 weeks in the LM group was noninferior to the DP group; likewise, no significant difference was observed between DP and HM. Noninferiority of LM versus DP, and lack of difference between DP and HM, remained for domain-specific cognitive change scores, except structured verbal memory, with noninferiority of LM versus DP not established and structured verbal memory better preserved in DP versus HM (P = 0.036). There were no significant differences in structural or functional magnetic resonance imaging brain imaging between groups postoperatively. Regardless of temperature, patients who underwent HCA demonstrated significant reductions in cerebral gray matter volume, cortical thickness, and regional brain functional connectivity. Thirty-day in-hospital mortality, major morbidity, and quality of life were not different between groups. CONCLUSIONS This randomized multicenter study evaluating arch surgery HCA temperature strategies found low-moderate hypothermia noninferior to traditional deep hypothermia on global cognitive change 4 weeks after surgery, although in secondary analysis, structured verbal memory was better preserved in the deep group. The verbal memory differences in the low- and high-moderate groups and structural and functional connectivity reductions from baseline merit further investigation and suggest opportunities to further optimize brain perfusion during HCA. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT02834065.
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Affiliation(s)
- G Chad Hughes
- Department of Surgery, Division of Thoracic and Cardiovascular Surgery (G.C.H., E.P.C., J.G.G.), Duke University Medical Center, Durham, NC
| | - Edward P Chen
- Department of Surgery, Division of Thoracic and Cardiovascular Surgery (G.C.H., E.P.C., J.G.G.), Duke University Medical Center, Durham, NC
| | - Jeffrey N Browndyke
- Department of Psychiatry & Behavioral Sciences, Division of Behavioral Medicine & Neurosciences (J.N.B., J.A.B.), Duke University Medical Center, Durham, NC
| | - Wilson Y Szeto
- Department of Surgery, Division of Cardiovascular Surgery, University of Pennsylvania, Philadelphia (W.Y.S.)
| | - J Michael DiMaio
- The Heart Hospital, Baylor Scott and White, Plano, TX (J.M.D., W.T.B.)
| | | | - Jeffrey G Gaca
- Department of Surgery, Division of Thoracic and Cardiovascular Surgery (G.C.H., E.P.C., J.G.G.), Duke University Medical Center, Durham, NC
| | - James A Blumenthal
- Department of Psychiatry & Behavioral Sciences, Division of Behavioral Medicine & Neurosciences (J.N.B., J.A.B.), Duke University Medical Center, Durham, NC
| | - Jorn A Karhausen
- Department of Anesthesiology (J.A.K., T.B., M.L.J., J.P.M.), Duke University School of Medicine, Durham, NC
| | - Tiffany Bisanar
- Department of Anesthesiology (J.A.K., T.B., M.L.J., J.P.M.), Duke University School of Medicine, Durham, NC
| | - Michael L James
- Department of Anesthesiology (J.A.K., T.B., M.L.J., J.P.M.), Duke University School of Medicine, Durham, NC
- Department of Neurology (M.L.J.), Duke University School of Medicine, Durham, NC
| | - David Yanez
- Department of Biostatistics and Bioinformatics (D.Y., Y.-J.L.), Duke University School of Medicine, Durham, NC
| | - Yi-Ju Li
- Department of Biostatistics and Bioinformatics (D.Y., Y.-J.L.), Duke University School of Medicine, Durham, NC
| | - Joseph P Mathew
- Department of Anesthesiology (J.A.K., T.B., M.L.J., J.P.M.), Duke University School of Medicine, Durham, NC
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Zuidema TR, Hou J, Kercher KA, Recht GO, Sweeney SH, Chenchaiah N, Cheng H, Steinfeldt JA, Kawata K. Cerebral Cortical Surface Structure and Neural Activation Pattern Among Adolescent Football Players. JAMA Netw Open 2024; 7:e2354235. [PMID: 38300622 PMCID: PMC10835513 DOI: 10.1001/jamanetworkopen.2023.54235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/08/2023] [Indexed: 02/02/2024] Open
Abstract
Importance Recurring exposure to head impacts in American football has garnered public and scientific attention, yet neurobiological associations in adolescent football players remain unclear. Objective To examine cortical structure and neurophysiological characteristics in adolescent football players. Design, Setting, and Participants This cohort study included adolescent football players and control athletes (swimming, cross country, and tennis) from 5 high school athletic programs, who were matched with age, sex (male), and school. Neuroimaging assessments were conducted May to July of the 2021 and 2022 seasons. Data were analyzed from February to November 2023. Exposure Playing tackle football or noncontact sports. Main Outcomes and Measures Structural magnetic resonance imaging (MRI) data were analyzed for cortical thickness, sulcal depth, and gyrification, and cortical surface-based resting state (RS)-functional MRI analyses examined the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and RS-functional connectivity (RS-FC). Results Two-hundred seventy-five male participants (205 football players; mean [SD] age, 15.8 [1.2] years; 5 Asian [2.4%], 8 Black or African American [3.9%], and 189 White [92.2%]; 70 control participants; mean [SD] age 15.8 [1.2] years, 4 Asian [5.7], 1 Black or African American [1.4%], and 64 White [91.5%]) were included in this study. Relative to the control group, the football group showed significant cortical thinning, especially in fronto-occipital regions (eg, right precentral gyrus: t = -2.24; P = .01; left superior frontal gyrus: -2.42; P = .002). Elevated cortical thickness in football players was observed in the anterior and posterior cingulate cortex (eg, left posterior cingulate cortex: t = 2.28; P = .01; right caudal anterior cingulate cortex 3.01; P = .001). The football group had greater and deeper sulcal depth than the control groups in the cingulate cortex, precuneus, and precentral gyrus (eg, right inferior parietal lobule: t = 2.20; P = .004; right caudal anterior cingulate cortex: 4.30; P < .001). Significantly lower ALFF was detected in the frontal lobe and cingulate cortex of the football group (t = -3.66 to -4.92; P < .01), whereas elevated ALFF was observed in the occipital regions (calcarine and lingual gyrus, t = 3.20; P < .01). Similar to ALFF, football players exhibited lower ReHo in the precentral gyrus and medial aspects of the brain, such as precuneus, insula, and cingulum, whereas elevated ReHo was clustered in the occipitotemporal regions (t = 3.17; P < .001; to 4.32; P < .01). There was no group difference in RS-FC measures. Conclusions and Relevance In this study of adolescent athletes, there was evidence of discernible structural and physiological differences in the brains of adolescent football players compared with their noncontact controls. Many of the affected brain regions were associated with mental health well-being.
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Affiliation(s)
- Taylor R. Zuidema
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
- Program in Neuroscience, The College of Arts and Sciences, Indiana University, Bloomington
| | - Jiancheng Hou
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
- Research Center for Cross-Straits Cultural Development, Fujian Normal University, Fuzhou, Fujian, China
| | - Kyle A. Kercher
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
| | - Grace O. Recht
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
| | - Sage H. Sweeney
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
| | - Nishant Chenchaiah
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
| | - Hu Cheng
- Program in Neuroscience, The College of Arts and Sciences, Indiana University, Bloomington
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Indiana University, Bloomington
| | - Jesse A. Steinfeldt
- Department of Counseling and Educational Psychology, School of Education, Indiana University, Bloomington
| | - Keisuke Kawata
- Department of Kinesiology, Indiana University School of Public Health, Bloomington
- Program in Neuroscience, The College of Arts and Sciences, Indiana University, Bloomington
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
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Yuan J, Liu Y, Liao H, Tan C, Cai S, Shen Q, Liu Q, Wang M, Tang Y, Li X, Liu J, Zi Y. Alterations in cortical volume and complexity in Parkinson's disease with depression. CNS Neurosci Ther 2024; 30:e14582. [PMID: 38421103 PMCID: PMC10851315 DOI: 10.1111/cns.14582] [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: 08/05/2023] [Revised: 11/09/2023] [Accepted: 12/17/2023] [Indexed: 03/02/2024] Open
Abstract
AIMS The aim of this study is to investigate differences in gray matter volume and cortical complexity between Parkinson's disease with depression (PDD) patients and Parkinson's disease without depression (PDND) patients. METHODS A total of 41 PDND patients, 36 PDD patients, and 38 healthy controls (HC) were recruited and analyzed by Voxel-based morphometry (VBM) and surface-based morphometry (SBM). Differences in gray matter volume and cortical complexity were compared using the one-way analysis of variance (ANOVA) and correlated with the Hamilton Depression Scale-17 (HAMD-17) scores. RESULTS PDD patients exhibited significant cortical atrophy in various regions, including bilateral medial parietal-occipital-temporal lobes, right dorsolateral temporal lobes, bilateral parahippocampal gyrus, and bilateral hippocampus, compared to HC and PDND groups. A negative correlation between the GMV of left precuneus and HAMD-17 scores in the PDD group tended to be significant (r = -0.318, p = 0.059). Decreased gyrification index was observed in the bilateral insular and dorsolateral temporal cortex. However, there were no significant differences found in fractal dimension and sulcal depth. CONCLUSION Our research shows extensive cortical structural changes in the insular cortex, parietal-occipital-temporal lobes, and hippocampal regions in PDD. This provides a morphological perspective for understanding the pathophysiological mechanism underlying depression in Parkinson's disease.
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Affiliation(s)
- Jiaying Yuan
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Yujing Liu
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Haiyan Liao
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
- Clinical Research Center For Medical Imaging in Hunan ProvinceChangshaChina
| | - Changlian Tan
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Sainan Cai
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Qin Shen
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Qinru Liu
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Min Wang
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Yuqing Tang
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Xu Li
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Jun Liu
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
- Clinical Research Center For Medical Imaging in Hunan ProvinceChangshaChina
| | - Yuheng Zi
- Department of Radiology, The Second Xiangya HospitalCentral South UniversityChangshaChina
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical SchoolUniversity of South ChinaHengyangChina
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Yeske B, Hou J, Chu DY, Adluru N, Nair VA, Beniwal-Patel P, Saha S, Prabhakaran V. Structural brain morphometry differences and similarities between young patients with Crohn's disease in remission and healthy young and old controls. Front Neurosci 2024; 18:1210939. [PMID: 38356645 PMCID: PMC10864509 DOI: 10.3389/fnins.2024.1210939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction Crohn's disease (CD), one of the main phenotypes of inflammatory bowel disease (IBD), can affect any part of the gastrointestinal tract. It can impact the function of gastrointestinal secretions, as well as increasing the intestinal permeability leading to an aberrant immunological response and subsequent intestinal inflammation. Studies have reported anatomical and functional brain changes in Crohn's Disease patients (CDs), possibly due to increased inflammatory markers and microglial cells that play key roles in communicating between the brain, gut, and systemic immune system. To date, no studies have demonstrated similarities between morphological brain changes seen in IBD and brain morphometry observed in older healthy controls.. Methods For the present study, twelve young CDs in remission (M = 26.08 years, SD = 4.9 years, 7 male) were recruited from an IBD Clinic. Data from 12 young age-matched healthy controls (HCs) (24.5 years, SD = 3.6 years, 8 male) and 12 older HCs (59 years, SD = 8 years, 8 male), previously collected for a different study under a similar MR protocol, were analyzed as controls. T1 weighted images and structural image processing techniques were used to extract surface-based brain measures, to test our hypothesis that young CDs have different brain surface morphometry than their age-matched young HCs and furthermore, appear more similar to older HCs. The phonemic verbal fluency (VF) task (the Controlled Oral Word Association Test, COWAT) (Benton, 1976) was administered to test verbal cognitive ability and executive control. Results/Discussion On the whole, CDs had more brain regions with differences in brain morphometry measures when compared to the young HCs as compared to the old HCs, suggesting that CD has an effect on the brain that makes it appear more similar to old HCs. Additionally, our study demonstrates this atypical brain morphometry is associated with function on a cognitive task. These results suggest that even younger CDs may be showing some evidence of structural brain changes that demonstrate increased resemblance to older HC brains rather than their similarly aged healthy counterparts.
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Affiliation(s)
- Benjamin Yeske
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Jiancheng Hou
- Center for Cross-Straits Cultural Development, Fujian Normal University, Fuzhou City, Fujian, China
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Daniel Y. Chu
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
| | - Nagesh Adluru
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- The Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Veena A. Nair
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Poonam Beniwal-Patel
- Gastroenterology and Hepatology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Sumona Saha
- Gastroenterology and Hepatology, Department of Medicine, University of Wisconsin- Madison, Madison, WI, United States
| | - Vivek Prabhakaran
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychology and Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
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Huang Y, Zhang X, Cheng M, Yang Z, Liu W, Ai K, Tang M, Zhang X, Lei X, Zhang D. Altered cortical thickness-based structural covariance networks in type 2 diabetes mellitus. Front Neurosci 2024; 18:1327061. [PMID: 38332862 PMCID: PMC10851426 DOI: 10.3389/fnins.2024.1327061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/11/2024] [Indexed: 02/10/2024] Open
Abstract
Cognitive impairment is a common complication of type 2 diabetes mellitus (T2DM), and early cognitive dysfunction may be associated with abnormal changes in the cerebral cortex. This retrospective study aimed to investigate the cortical thickness-based structural topological network changes in T2DM patients without mild cognitive impairment (MCI). Fifty-six T2DM patients and 59 healthy controls underwent neuropsychological assessments and sagittal 3-dimensional T1-weighted structural magnetic resonance imaging. Then, we combined cortical thickness-based assessments with graph theoretical analysis to explore the abnormalities in structural covariance networks in T2DM patients. Correlation analyses were performed to investigate the relationship between the altered topological parameters and cognitive/clinical variables. T2DM patients exhibited significantly lower clustering coefficient (C) and local efficiency (Elocal) values and showed nodal property disorders in the occipital cortical, inferior temporal, and inferior frontal regions, the precuneus, and the precentral and insular gyri. Moreover, the structural topological network changes in multiple nodes were correlated with the findings of neuropsychological tests in T2DM patients. Thus, while T2DM patients without MCI showed a relatively normal global network, the local topological organization of the structural network was disordered. Moreover, the impaired ventral visual pathway may be involved in the neural mechanism of visual cognitive impairment in T2DM patients. This study enriched the characteristics of gray matter structure changes in early cognitive dysfunction in T2DM patients.
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Affiliation(s)
- Yang Huang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Xin Zhang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Miao Cheng
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Zhen Yang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Wanting Liu
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Kai Ai
- Department of Clinical and Technical Support, Philips Healthcare, Xi’an, China
| | - Min Tang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Xiaoling Zhang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Xiaoyan Lei
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Dongsheng Zhang
- Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China
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Wang F, Hou X, Guo X, Zang C, Wu G, Zhao J. Regional decreases of cortical thickness in major depressive disorder and their correlation with illness duration: a case-control study. Front Psychiatry 2024; 15:1297204. [PMID: 38322142 PMCID: PMC10844537 DOI: 10.3389/fpsyt.2024.1297204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
Background Alterations in brain structure and function in major depressive disorder (MDD) have been identified in a number of studies, but findings regarding cortical thickness were various and inconsistent. Our current study aims to explore the differences in cortical thickness between individuals with MDD and healthy controls (HC) in a Chinese population. Methods We investigated T1-weighted brain magnetic resonance imaging data from 61 participants (31 MDD and 30 HC). The cortical thickness between the two groups and analyzed correlations between cortical thickness and demographic variables in the MDD group for regions with significant between-group differences were conducted. Results Compared with the HC group, patients with MDD had significantly decreased cortical thickness, in left pars triangularis, left pars orbitalis, left rostral middle frontal gyrus, left supramarginal gyrus, right parahippocampal gyrus, right lingual gyrus, right fusiform and right inferior parietal gyrus. The cortical thickness of left rostral middle frontal gyrus was negatively correlated (r = -0.47, p = 0.028) with the illness duration in patients with MDD. Conclusion Our study distinguished that cortical thickness decreases in numerous brain regions both in the left and right hemisphere in individuals with MDD, and the negative correlation between the cortical thickness of left rostral middle frontal gyrus illness duration. Our current findings are valuable in providing neural markers to identify MDD and understanding the potential pathophysiology of mood disorders.
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Affiliation(s)
- Fukun Wang
- General Committee Office, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
| | - Xiaofang Hou
- Laboratory of Magnetic Resonance, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
| | - Xiao Guo
- General Committee Office, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
| | - Chen Zang
- Laboratory of Magnetic Resonance, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
| | - Gang Wu
- Laboratory of Magnetic Resonance, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
| | - Jingjing Zhao
- Laboratory of Magnetic Resonance, Zhumadian Second People’s Hospital, Zhengzhou, Henan, China
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Bacon EJ, Jin C, He D, Hu S, Wang L, Li H, Qi S. Cortical surface analysis for focal cortical dysplasia diagnosis by using PET images. Heliyon 2024; 10:e23605. [PMID: 38187332 PMCID: PMC10770482 DOI: 10.1016/j.heliyon.2023.e23605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 10/14/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Focal cortical dysplasia (FCD) is a neurological disorder distinguished by faulty brain cell structure and development. Repetitive and uncontrollable seizures may be linked to FCD's aberrant cortical thickness, gyrification, and sulcal depth. Quantitative cortical surface analysis is a crucial alternative to ineffective visual inspection. This study recruited 42 subjects including 22 FCD patients who underwent surgery and 20 healthy controls (HC). For the FCD patients, T1-weighted and PET images were obtained by a PET-MRI scanner, and the confirmed epileptogenic zone (EZ) was collected from postsurgical follow-up. For the HCs, CT and PET images were obtained by a PET-CT scanner. Cortical thickness, gyrification index, and sulcal depth were calculated using a computational anatomical toolbox (CAT12). A cluster-based analysis is carried out to determine each FCD patient's aberrant cortical surface. After parcellating the cerebral cortex into 68 regions by the Desikan-Killiany atlas, a region of interest (ROI) analysis was conducted to know whether the feature in the FCD group is significantly different from that in the HC group. Finally, the features of all ROIs were utilised to train a support vector machine classifier (SVM). The classification performance is evaluated by the leave-one-out cross-validation. The cluster-based analysis can localize the EZ cluster with the highest accuracy of 54.5 % (12/22) for cortical thickness, 40.9 % (9/22) and 13.6 % (3/22) for sulcal depth and gyrification, respectively. Moderate concordance (Kappa, 0.6) is observed between the confirmed EZs and identified clusters by using the cortical thickness. Fair concordance (Kappa, 0.3) and no concordance (Kappa, 0.1) is found by using sulcal depth and gyrification. Significant differences are found in 46 of 68 regions (67.7 %) for the three measures. The trained SVM classifier achieved a prediction accuracy of 95.5 % for the cortical thickness, while the sulcal depth and the gyrification obtained 86.0 % and 81.5 %. Cortical thickness, as determined by quantitative cortical surface analysis of PET data, has a greater ability than sulcal depth and gyrification to locate aberrant EZ clusters in FCD. Surface measures might be different in many regions for FCD and HC. By integrating machine learning and cortical morphologies features, individual prediction of FCD seems to be feasible.
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Affiliation(s)
- Eric Jacob Bacon
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China
| | - Chaoyang Jin
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Dianning He
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Shuaishuai Hu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lanbo Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Han Li
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shouliang Qi
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China
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Pearce AL, Fuchs B, Adise S, Masterson TD, Fearnbach N, English L, Keller KL. Loss of control eating in children is associated with altered cortical and subcortical brain structure. Front Psychol 2024; 14:1237591. [PMID: 38274697 PMCID: PMC10808807 DOI: 10.3389/fpsyg.2023.1237591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024] Open
Abstract
Introduction Loss of control (LOC) eating is the perceived inability to control how much is eaten, regardless of actual amount consumed. Childhood LOC-eating is a risk factor for the development of binge-eating disorder (BED), but its neurobiological basis is poorly understood. Studies in children with BED have shown both increased gray matter volume in regions related to top-down cognitive control (e.g., dorsolateral prefrontal cortex) and reward-related decision making (e.g., orbital frontal cortex) relative to healthy controls. However, no studies have examined brain structure in children with LOC-eating. To identify potential neurobiological precursors of BED, we conducted secondary analysis of five studies that conducted T1 MPRAGE scans. Methods A total of 143, 7-12-year-old children (M = 8.9 years, 70 boys) were included in the study, 26% of which (n = 37) reported LOC-eating (semi-structured interview). Age, sex, and obesity status did not differ by LOC-eating. Differences between children with and without LOC were examined for gray matter volume, cortical thickness, gyrification, sulci depth, and cortical complexity after adjusting for age, sex, total intercranial volume, weight status, and study. Results Children with LOC, relative to those without, had greater gray matter volume in right orbital frontal cortex but lower gray matter volume in right parahippocampal gyrus, left CA4/dentate gyrus, and left cerebellar lobule VI. While there were no differences in cortical thickness or gyrification, children with LOC-eating had great sulci depth in left anterior cingulate cortex and cuneus and greater cortical complexity in right insular cortex. Discussion Together, this indicates that children with LOC-eating have structural differences in regions related to cognitive control, reward-related decision-making, and regulation of eating behaviors.
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Affiliation(s)
- Alaina L Pearce
- Department of Nutritional Science, The Pennsylvania State University, University Park, PA, United States
| | - Bari Fuchs
- Department of Nutritional Science, The Pennsylvania State University, University Park, PA, United States
| | - Shana Adise
- Division of Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Travis D Masterson
- Department of Nutritional Science, The Pennsylvania State University, University Park, PA, United States
| | - Nicole Fearnbach
- Department of Health and Life Sciences, Florida State University, Tallahassee, FL, United States
| | - Laural English
- United States Department of Agriculture, Washington, DC, United States
| | - Kathleen L Keller
- Department of Nutritional Science, The Pennsylvania State University, University Park, PA, United States
- Department of Food Science, The Pennsylvania State University, University Park, PA, United States
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Vishnubhotla RV, Ahmad ST, Zhao Y, Radhakrishnan R. Impact of prenatal marijuana exposure on adolescent brain structural and functional connectivity and behavioural outcomes. Brain Commun 2024; 6:fcae001. [PMID: 38444906 PMCID: PMC10914455 DOI: 10.1093/braincomms/fcae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 11/01/2023] [Accepted: 01/05/2024] [Indexed: 03/07/2024] Open
Abstract
There has been an increase in the number of women using marijuana whilst pregnant. Previous studies have shown that children with prenatal marijuana exposure have developmental deficits in memory and decreased attentiveness. In this study, we assess whether prenatal marijuana exposure is associated with alterations in brain regional morphometry and functional and structural connectivity in adolescents. We downloaded behavioural scores and subject image files from the Adolescent Brain Cognitive DevelopmentSM Study. A total of 178 anatomical and diffusion magnetic resonance imaging files (88 prenatal marijuana exposure and 90 age- and gender-matched controls) and 152 resting-state functional magnetic resonance imaging files (76 prenatal marijuana exposure and 76 controls) were obtained. Behavioural metrics based on the parent-reported child behavioural checklist were also obtained for each subject. The associations of prenatal marijuana exposure with 17 subscales of the child behavioural checklist were calculated. We assessed differences in brain morphometry based on voxel-based and surface-based morphometry in adolescents with prenatal marijuana exposure versus controls. We also evaluated group differences in structural and functional connectivity in adolescents for region-to-region connectivity and graph theoretical metrics. Interactions of prenatal marijuana exposure and graph networks were assessed for impact on behavioural scores. Multiple comparison correction was performed as appropriate. Adolescents with prenatal marijuana exposure had greater abnormal or borderline child behavioural checklist scores in 9 out of 17 subscales. There were no significant differences in voxel- or surface-based morphometry, structural connectivity or functional connectivity between prenatal marijuana exposure and controls. However, there were significant differences in prenatal marijuana exposure-graph network interactions with respect to behavioural scores. There were three structural prenatal marijuana exposure-graph network interactions and seven functional prenatal marijuana exposure-graph network interactions that were significantly associated with behavioural scores. Whilst this study was not able to confirm anatomical or functional differences between prenatal marijuana exposure and unexposed pre-adolescent children, there were prenatal marijuana exposure-brain structural and functional graph network interactions that were significantly associated with behavioural scores. This suggests that altered brain networks may underlie behavioural outcomes in adolescents with prenatal marijuana exposure. More work needs to be conducted to better understand the prognostic value of brain structural and functional network measures in prenatal marijuana exposure.
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Affiliation(s)
- Ramana V Vishnubhotla
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sidra T Ahmad
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Yi Zhao
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rupa Radhakrishnan
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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Zhou HY, Zhou L, Zheng TX, Ma LP, Fan MX, Liu L, Zhao XD, Yan C. Unraveling the link between childhood maltreatment and depression: Insights from the role of ventral striatum and middle cingulate cortex in hedonic experience and emotion regulation. Dev Psychopathol 2024:1-11. [PMID: 38179683 DOI: 10.1017/s0954579423001591] [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: 01/06/2024]
Abstract
Childhood maltreatment is an established risk factor for psychopathology. However, it remains unclear how childhood traumatic events relate to mental health problems and how the brain is involved. This study examined the serial mediation effect of brain morphological alterations and emotion-/reward-related functions on linking the relationship from maltreatment to depression. We recruited 156 healthy adolescents and young adults and an additional sample of 31 adolescents with major depressive disorder for assessment of childhood maltreatment, depressive symptoms, cognitive reappraisal and anticipatory/consummatory pleasure. Structural MRI data were acquired to identify maltreatment-related cortical and subcortical morphological differences. The mediation models suggested that emotional maltreatment of abuse and neglect, was respectively associated with increased gray matter volume in the ventral striatum and greater thickness in the middle cingulate cortex. These structural alterations were further related to reduced anticipatory pleasure and disrupted cognitive reappraisal, which contributed to more severe depressive symptoms among healthy individuals. The above mediating effects were not replicated in our clinical group partly due to the small sample size. Preventative interventions can target emotional and reward systems to foster resilience and reduce the likelihood of future psychiatric disorders among individuals with a history of maltreatment.
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Affiliation(s)
- Han-Yu Zhou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Centre, Shanghai, China
| | - Lan Zhou
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - Li-Ping Ma
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ming-Xia Fan
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai, China
| | - Liang Liu
- Clinical Research Center for Mental Disorders, Chinese-German Institute of Mental Health, Shanghai Pu-dong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
| | - Xu-Dong Zhao
- Clinical Research Center for Mental Disorders, Chinese-German Institute of Mental Health, Shanghai Pu-dong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
| | - Chao Yan
- Shanghai Changning Mental Health Centre, Shanghai, China
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
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Seidenbecher S, Schöne M, Kaufmann J, Schiltz K, Bogerts B, Frodl T. Neuroanatomical correlates of aggressiveness: a case-control voxel- and surface-based morphometric study. Brain Struct Funct 2024; 229:31-46. [PMID: 37819409 PMCID: PMC10827843 DOI: 10.1007/s00429-023-02715-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 09/20/2023] [Indexed: 10/13/2023]
Abstract
Aggression occurs across the population ranging on a symptom continuum. Most previous studies have used magnetic resonance imaging in clinical/forensic samples, which is associated with several confounding factors. The present study examined structural brain characteristics in two healthy samples differing only in their propensity for aggressive behavior. Voxel- and surface-based morphometry (SBM) analyses were performed on 29 male martial artists and 32 age-matched male controls. Martial artists had significantly increased mean gray matter volume in two frontal (left superior frontal gyrus and bilateral anterior cingulate cortex) and one parietal (bilateral posterior cingulate gyrus and precuneus) brain clusters compared to controls (whole brain: p < 0.001, cluster level: family-wise error (FWE)-corrected). SBM analyses revealed a trend for greater gyrification indices in martial artists compared to controls in the left lateral orbital frontal cortex and the left pars orbitalis (whole brain: p < 0.001, cluster level: FWE-corrected). The results indicate brain structural differences between martial artists and controls in frontal and parietal brain areas critical for emotion processing/inhibition of emotions as well as empathic processes. The present study highlights the importance of studying healthy subjects with a propensity for aggressive behavior in future structural MRI research on aggression.
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Affiliation(s)
- Stephanie Seidenbecher
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Maria Schöne
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Jörn Kaufmann
- Department of Neurology, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Kolja Schiltz
- Department of Forensic Psychiatry, Psychiatric Hospital of the Ludwig-Maximilians-University, Munich, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Bernhard Bogerts
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
- Salus-Institute, Salus gGmbH, Magdeburg, Germany
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, RWTH Aachen University, Aachen, Germany
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