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Sun X, Zhang P, Cheng S, Wang X, Deng J, Zhan Y, Chen J. The value of hippocampal sub-region imaging features for the diagnosis and severity grading of ASD in children. Brain Res 2025; 1849:149369. [PMID: 39622485 DOI: 10.1016/j.brainres.2024.149369] [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: 07/15/2024] [Revised: 10/01/2024] [Accepted: 11/29/2024] [Indexed: 12/09/2024]
Abstract
BACKGROUND Hippocampal structural changes in Autism Spectrum Disorder (ASD) are inconsistent. This study investigates hippocampal subregion changes in ASD patients to reveal intrinsic hippocampal anomalies. METHODS A retrospective study from Hainan Children's Hospital database (2020-2023) included ASD patients and matched controls. We classified ASD participants based on severity, dividing all subjects into four groups: normal, mild, moderate, and severe. High-resolution T1-weighted MRI images were analyzed for hippocampal subregion segmentation and volume calculations using Freesurfer. Texture features were extracted via the Gray-Level Co-occurrence Matrix. The Receiver Operating Characteristic curve was used to evaluate seven random forest predictive models constructed from volume, subregion, and texture features, as well as their combinations following feature selection. RESULTS The study included 114 ASD patients (98 boys, 2-8 years; 16 girls, 2-6 years; 17 mild, 57 moderate, 40 severe) and 111 healthy controls (HCs). No significant differences in volumes were found between ASD patients and HCs (adjusted P-value >0.05). The seven random forest models showed that single volume and texture features performed poorly for ASD classification; however, integrating various feature types improved AUC values. Further selection of texture, subregion, and volume features enhanced AUC performance across normal and varying severity categories, demonstrating the potential value of specific subregions and integrated features in ASD diagnosis. CONCLUSION Random forest models revealed that hippocampal volume, texture features, and subregion characteristics are crucial for diagnosing and assessing the severity of ASD. Integrating selected texture and subregion features optimized diagnostic efficacy, while combining texture, subregion, and volume features further improved severity grading effectiveness.
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Affiliation(s)
- Xiaofen Sun
- Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Peng Zhang
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China
| | - Shitong Cheng
- Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Xiaocheng Wang
- Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Jingbo Deng
- Department of Radiology, Hainan Women's and Children's Hospital, 15 Long Kun Nan Road, Haikou, China
| | - Yuefu Zhan
- Department of Radiology, Hainan Women's and Children's Hospital, 15 Long Kun Nan Road, Haikou, China; Department of Radiology, the Third People's Hospital of Shenzhen Longgang District, Shenzhen, China.
| | - Jianqiang Chen
- Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
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Rey HG, Panagiotaropoulos TI, Gutierrez L, Chaure FJ, Nasimbera A, Cordisco S, Nishida F, Valentin A, Alarcon G, Richardson MP, Kochen S, Quian Quiroga R. Lack of context modulation in human single neuron responses in the medial temporal lobe. Cell Rep 2025; 44:115218. [PMID: 39823228 PMCID: PMC11781864 DOI: 10.1016/j.celrep.2024.115218] [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: 11/21/2023] [Revised: 11/13/2024] [Accepted: 12/26/2024] [Indexed: 01/19/2025] Open
Abstract
In subjects implanted with intracranial electrodes, we use two different stories involving the same person (or place) to evaluate whether and to what extent context modulates human single-neuron responses. Nearly all neurons (97% during encoding and 100% during recall) initially responding to a person/place do not modulate their response with context. Likewise, nearly none (<1%) of the initially non-responsive neurons show conjunctive coding, responding to particular persons/places in a particular context during the tasks. In line with these findings, taking all neurons together it is possible to decode the person/place being depicted in each story, but not the particular story. Moreover, the neurons show consistent results across encoding and recall of the stories and during passive viewing of pictures. These results suggest a context invariant, non-conjunctive coding of memories at the single-neuron level in the human hippocampus and amygdala, in contrast to what has been described in other species.
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Affiliation(s)
- Hernan G Rey
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Departments of Neurosurgery, Biomedical Engineering, and Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Theofanis I Panagiotaropoulos
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Cognitive Neuroimaging Unit, INSERM, Universite Paris-Sud, Universite Paris-Saclay, Paris, France; Department of Psychology, National and Kapodistrian University of Athens, 15784 Athens, Greece; Centre for Basic Research, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece
| | - Lorenzo Gutierrez
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fernando J Chaure
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Institute of Biomedical Engineering, University of Buenos Aires, Buenos Aires, Argentina
| | | | - Santiago Cordisco
- ENyS, CEMET, Av. Calchaquí 5401, Buenos Aires 1888, Argentina; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fabian Nishida
- ENyS, CEMET, Av. Calchaquí 5401, Buenos Aires 1888, Argentina
| | - Antonio Valentin
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Alarcon
- Department of Clinical Neurophysiology. Royal Manchester Children's Hospital, Manchester, UK
| | - Mark P Richardson
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Silvia Kochen
- ENyS, CEMET, Av. Calchaquí 5401, Buenos Aires 1888, Argentina; Epilepsy Centre, El Cruce Hospital, Buenos Aires, Argentina
| | - Rodrigo Quian Quiroga
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK; Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Xu MX, Ju XD. Abnormal Brain Structure Is Associated with Social and Communication Deficits in Children with Autism Spectrum Disorder: A Voxel-Based Morphometry Analysis. Brain Sci 2023; 13:brainsci13050779. [PMID: 37239251 DOI: 10.3390/brainsci13050779] [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: 04/21/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
Structural magnetic resonance imaging (sMRI) studies have shown abnormalities in the brain structure of ASD patients, but the relationship between structural changes and social communication problems is still unclear. This study aims to explore the structural mechanisms of clinical dysfunction in the brain of ASD children through voxel-based morphometry (VBM). After screening T1 structural images from the Autism Brain Imaging Data Exchange (ABIDE) database, 98 children aged 8-12 years old with ASD were matched with 105 children aged 8-12 years old with typical development (TD). Firstly, this study compared the differences in gray matter volume (GMV) between the two groups. Then, this study evaluated the relationship between GMV and the subtotal score of communications and social interaction on the Autism Diagnostic Observation Schedule (ADOS) in ASD children. Research has found that abnormal brain structures in ASD include the midbrain, pontine, bilateral hippocampus, left parahippocampal gyrus, left superior temporal gyrus, left temporal pole, left middle temporal gyrus and left superior occipital gyrus. In addition, in ASD children, the subtotal score of communications and social interaction on the ADOS were only significantly positively correlated with GMV in the left hippocampus, left superior temporal gyrus and left middle temporal gyrus. In summary, the gray matter structure of ASD children is abnormal, and different clinical dysfunction in ASD children is related to structural abnormalities in specific regions.
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Affiliation(s)
- Ming-Xiang Xu
- School of Psychology, Northeast Normal University, Changchun 130024, China
| | - Xing-Da Ju
- School of Psychology, Northeast Normal University, Changchun 130024, China
- Jilin Provincial Key Laboratory of Cognitive Neuroscience and Brain Development, Changchun 130024, China
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Cope EC, Wang SH, Waters RC, Gore IR, Vasquez B, Laham BJ, Gould E. Activation of the CA2-ventral CA1 pathway reverses social discrimination dysfunction in Shank3B knockout mice. Nat Commun 2023; 14:1750. [PMID: 36991001 PMCID: PMC10060401 DOI: 10.1038/s41467-023-37248-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
Mutation or deletion of the SHANK3 gene, which encodes a synaptic scaffolding protein, is linked to autism spectrum disorder and Phelan-McDermid syndrome, conditions associated with social memory impairments. Shank3B knockout mice also exhibit social memory deficits. The CA2 region of the hippocampus integrates numerous inputs and sends a major output to the ventral CA1 (vCA1). Despite finding few differences in excitatory afferents to the CA2 in Shank3B knockout mice, we found that activation of CA2 neurons as well as the CA2-vCA1 pathway restored social recognition function to wildtype levels. vCA1 neuronal oscillations have been linked to social memory, but we observed no differences in these measures between wildtype and Shank3B knockout mice. However, activation of the CA2 enhanced vCA1 theta power in Shank3B knockout mice, concurrent with behavioral improvements. These findings suggest that stimulating adult circuitry in a mouse model with neurodevelopmental impairments can invoke latent social memory function.
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Affiliation(s)
- Elise C Cope
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
- Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Samantha H Wang
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Renée C Waters
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Isha R Gore
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Betsy Vasquez
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Blake J Laham
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Elizabeth Gould
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA.
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Houser TM. Spatialization of Time in the Entorhinal-Hippocampal System. Front Behav Neurosci 2022; 15:807197. [PMID: 35069143 PMCID: PMC8770534 DOI: 10.3389/fnbeh.2021.807197] [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: 11/01/2021] [Accepted: 12/06/2021] [Indexed: 11/19/2022] Open
Abstract
The functional role of the entorhinal-hippocampal system has been a long withstanding mystery. One key theory that has become most popular is that the entorhinal-hippocampal system represents space to facilitate navigation in one's surroundings. In this Perspective article, I introduce a novel idea that undermines the inherent uniqueness of spatial information in favor of time driving entorhinal-hippocampal activity. Specifically, by spatializing events that occur in succession (i.e., across time), the entorhinal-hippocampal system is critical for all types of cognitive representations. I back up this argument with empirical evidence that hints at a role for the entorhinal-hippocampal system in non-spatial representation, and computational models of the logarithmic compression of time in the brain.
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Affiliation(s)
- Troy M. Houser
- Department of Psychology, University of Oregon, Eugene, OR, United States
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Quian Quiroga R. Still challenging the pattern separation dogma: 'quiero retruco'. Trends Cogn Sci 2021; 25:923-924. [PMID: 34598878 DOI: 10.1016/j.tics.2021.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 08/24/2021] [Indexed: 11/25/2022]
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