Article
Neurosciences
Ang Sun, Jiaojian Wang, Junran Zhang
Summary: Brain network analysis is an effective method to detect abnormalities in functional interactions for brain disorders like autism spectrum disorder (ASD). Traditional studies focusing on node-centric functional connectivity (nFC) miss valuable information, unlike the edge-centric functional connectivity (eFC) approach proposed in this study. By utilizing co-fluctuations information between brain region edges, our model achieved high performance in classifying ASD using the ABIDE I dataset, with an accuracy of 96.41%, sensitivity of 98.30%, and specificity of 94.25%. These results suggest that eFC can be used to develop a reliable machine-learning framework for diagnosing mental disorders and identifying biomarkers.
Article
Neurosciences
Gang Zhu, Yuhang Li, Lin Wan, Chunhua Sun, Xinting Liu, Jing Zhang, Yan Liang, Guoyin Liu, Huimin Yan, Rihui Li, Guang Yang
Summary: This study used symptom-based clustering to identify subgroups of ASD and found distinct functional connectivity patterns in these subgroups. Participants with mild ASD showed increased connectivity in the beta band, while those with severe ASD exhibited decreased connectivity in the alpha band. Additionally, significant differences in global and regional topological abnormalities were found between the subgroups in both alpha and beta bands.
Article
Neurosciences
Kathryn E. Unruh, James Bartolotti, Walker S. McKinney, Lauren M. Schmitt, John A. Sweeney, Matthew W. Mosconi
Summary: Sensorimotor issues in autism spectrum disorder (ASD) involve deficits in multimodal sensory feedback integration and reduced reliance on error-monitoring processes. This study found that individuals with ASD showed reduced functional connectivity in specific brain regions during a visuomotor task at high force levels. Additionally, reduced connectivity was associated with more severe ASD symptoms. These findings suggest that parietal-cerebellar connectivity may serve as a neural marker underlying both core and comorbid features of ASD.
Article
Behavioral Sciences
Bengi Baran, Quynh Trang Huong Nguyen, Dimitrios Mylonas, Susan L. Santangelo, Dara S. Manoach
Summary: There is evidence that abnormal interactions between the thalamus and cortex contribute to attention deficits and sensory sensitivities in individuals with autism spectrum disorder (ASD). However, previous functional MRI studies have produced inconsistent findings regarding the direction and location of group differences. The present study used rigorous protocols to minimize the effects of head motion and found that individuals with ASD showed increased connectivity between the thalamus and temporal cortex. Both groups showed age-related decreases in thalamic connectivity with the occipital cortex. These findings suggest that thalamocortical hyperconnectivity in ASD may disrupt attention and contribute to sensory sensitivities.
Article
Clinical Neurology
Clara A. Moreau, Kuldeep Kumar, Annabelle Harvey, Guillaume Huguet, Sebastian G. W. Urchs, Laura M. Schultz, Hanad Sharmarke, Khadije Jizi, Charles-Olivier Martin, Nadine Younis, Petra Tamer, Jean-Louis Martineau, Pierre Orban, Ana Isabel Silva, Jeremy Hall, Marianne B. M. van den Bree, Michael J. Owen, David E. J. Linden, Sarah Lippe, Carrie E. Bearden, Laura Almasy, David C. Glahn, Paul M. Thompson, Thomas Bourgeron, Pierre Bellec, Sebastien Jacquemont
Summary: This study uses large-scale resting-state functional MRI data to investigate the influence of genetic variants on large-scale brain networks and their correlations with psychiatric disorders and cognitive traits. The findings suggest a substantial genetic component for shared connectivity profiles across conditions and traits, providing new avenues for understanding and treating psychiatric disorders.
Article
Computer Science, Artificial Intelligence
Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
Summary: This study proposes a temporal dynamics learning (TDL) method for network-based brain disease identification using rs-fMRI time-series data. By integrating network feature extraction and classifier training into a unified framework, it addresses the issues of previous studies paying less attention to the evolution of global network structures over time and treating feature extraction and training as separate tasks.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Computer Science, Artificial Intelligence
Jin Zhang, Fan Feng, Tianyi Han, Xiaoli Gong, Feng Duan
Summary: Autism spectrum disorder (ASD) is difficult to diagnose, but neuroimaging data can enhance diagnostic results. However, limited time and resources for scanning neuroimages restrict dataset size and weaken result generalization. We propose a deep learning approach combined with the F-score feature selection method for ASD diagnosis using a functional magnetic resonance imaging (fMRI) dataset. The selected fMRI functional connectivity features achieve an average accuracy of 64.53% on intra-site datasets and 70.9% on the whole ABIDE dataset. Network topology analysis shows decreased path length and cluster coefficient in ASD, indicating a loss of small-world architecture to a random network.
COGNITIVE COMPUTATION
(2023)
Article
Neurosciences
Xinling Geng, Xiwang Fan, Yiwen Zhong, Manuel F. Casanova, Estate M. Sokhadze, Xiaoli Li, Jiannan Kang
Summary: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder that affects normal brain development. This study examined brain connectivity as a potential biomarker for ASD. The findings showed that children with ASD had increased local connectivity in functional connectivity, but decreased effective connectivity between brain hemispheres. These connectivity abnormalities may serve as biomarkers for ASD.
Article
Clinical Neurology
Lei Zhao, Shao-Wei Xue, Yun-Kai Sun, Zhihui Lan, Ziqi Zhang, Yichen Xue, Xuan Wang, Yuxin Jin
Summary: The study revealed that individuals with ASD exhibited alterations in dynamic functional connectivity and static functional connectivity in different insular subregions. These abnormal dynamic functional connectivity could significantly predict the symptom severity of individuals with ASD.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Neurosciences
Rebecca J. Lepping, Walker S. McKinney, Grant C. Magnon, Sarah K. Keedy, Zheng Wang, Stephen A. Coombes, David E. Vaillancourt, John A. Sweeney, Matthew W. Mosconi
Summary: Research indicates that individuals with autism spectrum disorder exhibit increased force variability and reduced entropy during visuomotor behavior, along with greater brain activation and decreased functional connectivity. Additionally, delayed maturation is observed in the functional connectivity between cerebellar-cortical sensorimotor and nonsensorimotor networks.
HUMAN BRAIN MAPPING
(2022)
Article
Genetics & Heredity
Charlotte M. Pretzsch, Dorothea L. Floris, Bogdan Voinescu, Malka Elsahib, Maria A. Mendez, Robert Wichers, Laura Ajram, Glynis Ivin, Martin Heasman, Elise Pretzsch, Steven Williams, Declan G. M. Murphy, Eileen Daly, Grainne M. McAlonan
Summary: The study identified differences in striatal functional connectivity between individuals with ASD and neurotypicals, with CBDV being able to reduce hyperconnectivity in ASD patients to a neurotypical level. Methodological limitations restrict the generalizability of the results, but provide preliminary evidence for improving ASD symptoms.
Article
Neurosciences
Mengxin He, Liangliang Ping, Zhaosong Chu, Chunqiang Zeng, Zonglin Shen, Xiufeng Xu
Summary: This study investigated the alterations in the cingulo-opercular network (CON) that are closely related to suicidal ideation (SI) in patients with major depressive disorder (MDD) using multi-imaging methods. The study found abnormal regional homogeneity (ReHo), gray matter volume (GMV), and structural covariance network (SCN) patterns in CON in MDD patients with SI, with the severity of suicide being associated with increased abnormal brain regions.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Genetics & Heredity
Pilar Garces, Sarah Baumeister, Luke Mason, Christopher H. Chatham, Stefan Holiga, Juergen Dukart, Emily J. H. Jones, Tobias Banaschewski, Simon Baron-Cohen, Sven Bolte, Jan K. Buitelaar, Sarah Durston, Bob Oranje, Antonio M. Persico, Christian F. Beckmann, Thomas Bougeron, Flavio Dell'Acqua, Christine Ecker, Carolin Moessnang, Tony Charman, Julian Tillmann, Declan G. M. Murphy, Mark Johnson, Eva Loth, Daniel Brandeis, Joerg F. Hipp
Summary: This study aimed to investigate the differences in resting-state EEG between individuals with autism spectrum disorder (ASD) and neurotypicals (NT), but the results are inconsistent, indicating the need for larger studies to further validate these findings.
Article
Computer Science, Artificial Intelligence
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
Summary: This study introduces a novel method called Connectome Landscape Modeling (CLM) for mining cross-site consistent connectome landscape and extracting data-driven representation of functional connectivity networks for brain disorder identification. The proposed method aims to learn a weight matrix for joint cross-site consistent connectome landscape learning, network feature extraction, and disease identification. Experimental results demonstrate the potential use of CLM in cross-site brain disorder analysis.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Neurosciences
Marjolein Spronk, Brian P. Keane, Takuya Ito, Kaustubh Kulkarni, Jie Lisa Ji, Alan Anticevic, Michael W. Cole
Summary: This study found that while the whole-brain resting-state functional network organization is highly similar across individuals with various mental disorders, subtle differences in network graph distance can predict diagnosis. The results suggest a need to reevaluate neurocognitive theories of mental illness, with a focus on subtle functional brain network changes.
Article
Behavioral Sciences
David A. Edmondson, Pingyu Xia, Rebecca McNally Keehn, Ulrike Dydak, Brandon Keehn
Article
Clinical Neurology
Sarah Pierce, Girija Kadlaskar, David A. Edmondson, Rebecca McNally Keehn, Ulrike Dydak, Brandon Keehn
Summary: This study found that children with ASD showed significantly reduced resting alpha power compared to typically developing children. Differences in GABA and Glx concentrations in specific brain regions were not associated with inter-individual variation in alpha power within the ASD group, but decreased Glx in the temporal-parietal junction was linked to increased hyper-sensitivity in ASD children.
JOURNAL OF NEURODEVELOPMENTAL DISORDERS
(2021)
Article
Neurosciences
Girija Kadlaskar, Sophia Bergmann, Rebecca McNally Keehn, Amanda Seidl, Brandon Keehn
Summary: The study found that children with ASD and TD show similar alerting responses to tactile cues, but differ in response speed to auditory targets. Additionally, there is an association between behavioral responses and ASD symptoms.
Review
Psychiatry
Courtney Mallory, Brandon Keehn
Summary: The impact of classroom environments on students with ASD is significant due to their challenges in sensory processing and attention. Understanding these weaknesses can lead to better support and interventions for optimal student success.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Behavioral Sciences
Brandon Keehn, Girija Kadlaskar, Sophia Bergmann, Rebecca McNally Keehn, Alexander Francis
Summary: Differences in attention functions have been identified as early features distinguishing infants later diagnosed with ASD. The atypical activity of the locus coeruleus-norepinephrine system may contribute to attentional disengagement impairments observed in ASD. Children with ASD showed larger resting pupil size and poorer attentional disengagement compared to TD peers.
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2021)
Article
Neurosciences
Girija Kadlaskar, Sophia Bergmann, Rebecca McNally Keehn, Amanda Seidl, Brandon Keehn
Summary: This study found differences in early perceptual processing of auditory stimuli in children with ASD, while no differences were observed in tactile stimuli. However, there were no differences in response to tactile and auditory stimuli in later attentional components between ASD and TD groups. These results suggest that differences in auditory responsivity patterns in children with ASD may be related to perceptual factors.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Psychology, Developmental
Yukari Takarae, Anthony Zanesco, Brandon Keehn, Leanne Chukoskie, Ralph-Axel Muller, Jeanne Townsend
Summary: EEG microstates were used to investigate differences between children with Autism Spectrum Development (ASD) and typically developing (TD) participants. The study found that the frequency and global explained variance (GEV) of a specific microstate were lower in the ASD group, while the duration of the same microstate was correlated with ASD-related behaviors. In the TD group, the duration of this microstate was also correlated with participant age and overall alpha power. Another microstate showed higher signal strength and GEV in the ASD group, with different topographical patterns between groups.
DEVELOPMENTAL SCIENCE
(2022)
Article
Behavioral Sciences
Yesol Kim, Girija Kadlaskar, Rebecca McNally Keehn, Brandon Keehn
Summary: A growing body of research suggests that the locus coeruleus-norepinephrine (LC-NE) system functions differently in individuals with autism spectrum disorder (ASD). This study investigated the dynamics of both tonic and phasic indices of LC-NE function in children with ASD and found that they exhibit increased tonic activity and reduced phasic activity compared to typically developing children. These differences may be associated with impairments in attention and arousal regulation in ASD.
Article
Behavioral Sciences
Brandon Keehn, Girija Kadlaskar, Rebecca McNally Keehn
Summary: Autistic individuals excel at visual search and show larger resting pupil size. They search faster and more efficiently compared to neurotypical children. Accelerated search is associated with fewer fixations in the autism group.
Article
Psychology, Developmental
Catharine Lory, Girija Kadlaskar, Rebecca Keehn, Alexander L. Francis, Brandon Keehn
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2020)
Article
Psychology, Developmental
Girija Kadlaskar, Amanda Seidl, Helen Tager-Flusberg, Charles A. Nelson, Brandon Keehn
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2020)
Article
Psychology, Developmental
Brandon Keehn, Girija Kadlaskar, Rebecca McNally Keehn, Alexander L. Francis
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2019)
Article
Psychology, Developmental
Girija Kadlaskar, Amanda Seidl, Helen Tager-Flusberg, Charles A. Nelson, Brandon Keehn
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2019)
Article
Psychology, Developmental
Brandon Keehn, Marissa Westerfield, Jeanne Townsend
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2019)
Article
Psychology, Experimental
Jennifer B. Wagner, Brandon Keehn, Helen Tager-Flusberg, Charles A. Nelson
Article
Neurosciences
Song Xue, Feng Kong, Yiying Song, Jia Liu
Summary: This study used resting-state functional magnetic resonance imaging to explore the relationship between individual's spontaneous neural activity and social interaction anxiety in a nonclinical population. The results showed that social interaction anxiety was correlated with the fractional amplitude of low-frequency fluctuations in several brain regions, and that emotional intelligence partially mediated this relationship. This study provides evidence for the neural basis of social interaction anxiety in the normal population and highlights the role of emotional intelligence in this anxiety.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Katsuyuki Yamaguchi, Takuya Yazawa
Summary: This study provides morphometric data on the development of the human medullary arcuate nucleus (AN) by examining the brains of preterm and perinatal infants. The results show that AN morphology demonstrates asymmetry and individual variability during the fetal period. The volume and neuronal number of AN increase exponentially with age, while neuronal density decreases exponentially. The AN may undergo neuron death and neuroblasts production after mid-gestation.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Zhan Zhou, Weixin Dai, Tianxiao Liu, Min Shi, Yi Wei, Lifei Chen, Yubo Xie
Summary: Studies have shown that propofol-induced neurotoxicity is caused by disruption of mitochondrial fission and fusion, leading to an energy supply imbalance for developing neurons. Healthy mitochondria released by astrocytes can migrate to compromised neurons to mitigate propofol-induced neurotoxicity, but the exact mechanisms involved still need further clarification.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
An Chen, Song Hao, Yongpeng Han, Yang Fang, Yibei Miao
Summary: This study explores the efficacy of two forms of BCI attention training games and finds that physical games may be more effective than video games. The research also offers valuable insights for future game design from a neuroscience perspective.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Lina Liu, Luran Liu, Yunting Lu, Tianyuan Zhang, Wenting Zhao
Summary: This study reveals that GDI1 serves as a potential diagnostic biomarker for AD and inhibition of GDI1 can attenuate Aβ-induced neurotoxicity. The findings offer new insights for the treatment of AD.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Zahra Gholami, Ava Soltani Hekmat, Ali Abbasi, Kazem Javanmardi
Summary: This study investigated the effects of alamandine on allodynia in a rat model and found the presence of MrgD receptors in the vlPAG and RVM regions. Microinjection of alamandine resulted in a significant increase in paw withdrawal threshold and could be blocked by an MrgD receptor antagonist. Upregulation of MrgD receptor expression following allodynia induction suggests a potential compensatory mechanism in response to pain.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Mingliang Xu, Lei Xia, Junjie Li, Yehong Du, Zhifang Dong
Summary: This study found that DHF effectively alleviates sevoflurane-induced cognitive impairment in developing mice by restoring the balance between tau O-GlcNAcylation and phosphorylation. Therefore, DHF has the potential to be a therapeutic agent for treating cognitive impairment associated with anesthetics, such as sevoflurane.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Tsubasa Mitsutake, Hisato Nakazono, Takanori Taniguchi, Hisayoshi Yoshizuka, Maiko Sakamoto
Summary: The posterior parietal cortex plays a crucial role in postural stability, and transcranial electrical stimulation of this region can modulate physical control responses. This study found that cathodal stimulation significantly decreased joint angular velocity in multiple directions, while there were no significant differences with transcranial random noise stimulation.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Xishuai Yang, Wei Zhang, Xueli Chang, Zuopeng Li, Runquan Du, Junhong Guo
Summary: This study aims to evaluate the efficacy of low-dose rituximab (RTX) in patients with muscle-specific kinase antibody positive myasthenia gravis (MuSK-MG). The results showed that low-dose RTX treatment led to significant improvements in clinical symptoms and quality of life for patients with MuSK-MG.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Jian Zhang, Shunyuan Guo, Rong Tao, Fan Wang, Yihong Xie, Huizi Wang, Lan Ding, Yuejian Shen, Xiaoli Zhou, Junli Feng, Qing Shen
Summary: This study established an Alzheimer's disease (AD) model of zebrafish induced by AlCl3 and found that marine-derived plasmalogens (Pls) could alleviate cognitive impairments of AD zebrafish by reversing athletic impairment and altering the expression levels of genes related to oxidative stress, ferroptosis, synaptic dysfunction, and apoptosis.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Lu Li, Jiaqi Ren, Qi Fang, Liqiang Yu, Jintao Wang
Summary: ICU-AW is a common and severe neuromuscular complication in critically ill patients. Electrophysiological examination is essential for accurate diagnosis and early prediction of the disease. This study aimed to establish and validate an ICU-AW predictive model in SIRS patients, providing a practical tool for early clinical prediction.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Ahmad Alipour, Roghayeh Mohammadi
Summary: The present study aimed to investigate the separate and combined effects of anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) and left dorsolateral prefrontal cortex (F3) regions on pain relief in patients with type-2 diabetes suffering from neuropathic pain (NP). The results showed that tDCS had the potential to induce pain relief in patients with type-2 diabetes suffering from NP. The mean perceived pain intensity in the posttest was lower in the M1 stimulation group than in the F3 stimulation group. However, more trials with larger sample sizes are necessary to define clinically relevant effects.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Eduardo J. Fusse, Franciele F. Scarante, Maria A. Vicente, Mariana M. Marrubia, Flavia Turcato, Davi S. Scomparin, Melissa A. Ribeiro, Maria J. Figueiredo, Tamires A. V. Brigante, Francisco S. Guimaraes, Alline C. Campos
Summary: Repeated exposure to psychosocial stress alters the endocannabinoid system and affects brain regions associated with emotional distress. Enhancing the effects of endocannabinoids through pharmacological inhibition induces an anti-stress behavioral effect, possibly mediated by the mTOR signaling pathway.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Giulia Agostoni, Luca Bischetti, Federica Repaci, Margherita Bechi, Marco Spangaro, Irene Ceccato, Elena Cavallini, Luca Fiorentino, Francesca Martini, Jacopo Sapienza, Mariachiara Buonocore, Michele Francesco D'Incalci, Federica Cocchi, Carmelo Guglielmino, Roberto Cavallaro, Marta Bosia, Valentina Bambini
Summary: This study found a general impairment in humor comprehension in individuals with schizophrenia, with mental jokes being more difficult for both patients and controls. Humor comprehension was closely associated with the patients' overall pragmatic and linguistic profile, while the association with Theory of Mind (ToM) was minimal. Another notable finding was the increased appreciation of humor in individuals with schizophrenia, who rated jokes as funnier than controls did, regardless of whether they were correctly or incorrectly completed. The funniness ratings were not predicted by any measure, suggesting a dimension of humor untied to cognition or psychopathology.
NEUROSCIENCE LETTERS
(2024)
Article
Neurosciences
Xiuping Gong, Qi Li, Yang Liu
Summary: This study demonstrates that Sev targets CREBBP to inhibit ALG13 transcription, leading to hippocampal damage and cognitive impairment.
NEUROSCIENCE LETTERS
(2024)
