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Zheng A, Scott KE, Schormans AL, Mann R, Allman BL, Schmid S. Differences in Startle and Prepulse Inhibition in Contactin-associated Protein-like 2 Knock-out Rats are Associated with Sex-specific Alterations in Brainstem Neural Activity. Neuroscience 2023; 513:96-110. [PMID: 36708798 DOI: 10.1016/j.neuroscience.2023.01.020] [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: 08/05/2022] [Revised: 01/13/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023]
Abstract
The contactin-associated protein-like 2 (CNTNAP2) gene encodes for the CASPR2 protein, which plays an essential role in neurodevelopment. Mutations in CNTNAP2 are associated with neurodevelopmental disorders, including autism spectrum disorder and schizophrenia. Rats with a loss of function mutation in the Cntnap2 gene show increased acoustic startle response (ASR) and decreased prepulse inhibition (PPI). The neural basis of this altered auditory processing in Cntnap2 knock-out rats is currently unknown. Auditory brainstem recordings previously revealed no differences between the genotypes. The next step is to investigate brainstem structures outside of the primary auditory pathway that mediate ASR and PPI, which are the pontine reticular nucleus (PnC) and pedunculopontine tegmentum (PPTg), respectively. Multi-unit responses from the PnC and PPTg in vivo of the same rats revealed sex-specific effects of loss of CASPR2 expression on PnC activity, but no effects on PPTg activity. Female Cntnap2-/- rats showed considerably increased PnC firing rates compared with female wildtypes, whereas the difference between the genotypes was modest in male rats. In contrast, for both females and males we found meager differences between the genotypes for PPTg firing rates and inhibition of PnC firing rates, indicating that altered firing rates of these brainstem structures are not responsible for decreased PPI in Cntnap2-/- rats. We conclude that the auditory processing changes seen in Cntnap2-/- rats are associated with, but cannot be fully explained by, differences in PnC firing rates, and that a loss of function mutation in the Cntnap2 gene has differential effects depending on sex.
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Affiliation(s)
- Alice Zheng
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada
| | - Kaela E Scott
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada
| | - Ashley L Schormans
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada
| | - Rajkamalpreet Mann
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada
| | - Brian L Allman
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada
| | - Susanne Schmid
- Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada.
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Li X, Fan F, Chen X, Li J, Ning L, Lin K, Chen Z, Qin Z, Yeung AS, Li X, Wang L, So KF. Computer Vision for Brain Disorders Based Primarily on Ocular Responses. Front Neurol 2021; 12:584270. [PMID: 33967931 PMCID: PMC8096911 DOI: 10.3389/fneur.2021.584270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 03/15/2021] [Indexed: 11/18/2022] Open
Abstract
Real-time ocular responses are tightly associated with emotional and cognitive processing within the central nervous system. Patterns seen in saccades, pupillary responses, and spontaneous blinking, as well as retinal microvasculature and morphology visualized via office-based ophthalmic imaging, are potential biomarkers for the screening and evaluation of cognitive and psychiatric disorders. In this review, we outline multiple techniques in which ocular assessments may serve as a non-invasive approach for the early detections of various brain disorders, such as autism spectrum disorder (ASD), Alzheimer's disease (AD), schizophrenia (SZ), and major depressive disorder (MDD). In addition, rapid advances in artificial intelligence (AI) present a growing opportunity to use machine learning-based AI, especially computer vision (CV) with deep-learning neural networks, to shed new light on the field of cognitive neuroscience, which is most likely to lead to novel evaluations and interventions for brain disorders. Hence, we highlight the potential of using AI to evaluate brain disorders based primarily on ocular features.
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Affiliation(s)
- Xiaotao Li
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.,Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States.,BIAI INC., Chelmsford, MA, United States.,BIAI Intelligence Biotech LLC, Shenzhen, China
| | - Fangfang Fan
- Department of Neurology, Harvard Medical School, Harvard University, Boston, MA, United States
| | - Xuejing Chen
- Retina Division, Department of Ophthalmology, Boston University Eye Associates, Boston University, Boston, MA, United States
| | - Juan Li
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.,BIAI INC., Chelmsford, MA, United States.,BIAI Intelligence Biotech LLC, Shenzhen, China
| | - Li Ning
- Center for High Performance Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Kangguang Lin
- Department of Affective Disorders and Academician Workstation of Mood and Brain Sciences, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong-Hong Kong-Macau Institute of Central Nervous System (CNS) Regeneration, Jinan University, Guangzhou, China
| | - Zan Chen
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Zhenyun Qin
- Key Laboratory for Nonlinear Mathematical Models and Methods, School of Mathematical Science, Fudan University, Shanghai, China
| | - Albert S Yeung
- Depression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Xiaojian Li
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Liping Wang
- Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Kwok-Fai So
- Guangdong-Hong Kong-Macau Institute of Central Nervous System (CNS) Regeneration, Jinan University, Guangzhou, China.,The State Key Laboratory of Brain and Cognitive Sciences, Department of Ophthalmology, University of Hong Kong, Pok Fu Lam, Hong Kong
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Characterization of Volume-Based Changes in Cortical Auditory Evoked Potentials and Prepulse Inhibition. Sci Rep 2017; 7:11098. [PMID: 28894145 PMCID: PMC5593922 DOI: 10.1038/s41598-017-11191-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 08/21/2017] [Indexed: 12/11/2022] Open
Abstract
The auditory evoked startle reflex is a conserved response resulting in neurological and motor activity. The presence of a mild prepulse immediately before the main pulse inhibits startle responses, though the mechanism for this remains unknown. In this study, the electroencephalography (EEG) data recorded from 15 subjects was analyzed to study the N1 and P2 components of cortical auditory evoked potentials (CAEPs) evoked by 70, 80, 90, 100, and 110 dB stimuli both in the presence and absence of 70 dB prepulses. Results without a prepulse showed an evolution of N1 amplitudes, increasing with stimulus intensity and showing largely significant differences. Results from prepulse trials only showed noteworthy changes in peak-to-peak amplitude in the 100 dB condition. Prepulse and non-prepulse conditions were then compared using peak amplitudes and theta power. Prepulse conditions significantly decreased the amplitude for both components in the 110 dB condition, i.e., pre-pulse inhibition, but significantly increased the N1 amplitude in the 70 dB condition, i.e., pre-pulse facilitation. Similarly theta band power significantly increased in the 70 dB prepulse condition and significantly decreased in the 110 dB prepulse condition. These results expand the basis of knowledge regarding how CAEPs change and elaborate on their neural function and representation.
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