scholarly journals “Mickey Mousing” in the Brain: Motion-Sound Synesthesia and the Subcortical Substrate of Audio-Visual Integration

2021 ◽  
Vol 15 ◽  
Author(s):  
Bruno Laeng ◽  
Camilla Barthel Flaaten ◽  
Kjersti Maehlum Walle ◽  
Anne Hochkeppler ◽  
Karsten Specht
Keyword(s):  
Optical Flow ◽  
Structural Changes ◽  
Imaging Data ◽  
Brain Motion ◽  
Left And Right ◽  
General Difference ◽  
Mri Study ◽  
Inferior Colliculi ◽  
The Brain

Motion-sound synesthesia is characterized by illusory auditory sensations linked to the pattern and rhythms of motion (dubbed “Mickey Mousing” as in cinema) of visually experienced but soundless object, like an optical flow array, a ball bouncing or a horse galloping. In an MRI study with a group of three synesthetes and a group of eighteen control participants, we found structural changes in the brains of synesthetes in the subcortical multisensory areas of the superior and inferior colliculi. In addition, functional magnetic resonance imaging data showed activity in motion-sensitive regions, as well as temporal and occipital areas, and the cerebellum. However, the synesthetes had a higher activation within the left and right cuneus, with stronger activations when viewing optical flow stimuli. There was also a general difference in connectivity of the colliculi with the above mentioned regions between the two groups. These findings implicate low-level mechanisms within the human neuroaxis as a substrate for local connectivity and cross activity between perceptual processes that are “distant” in terms of cortical topography. The present findings underline the importance of considering the role of subcortical systems and their connectivity to multimodal regions of the cortex and they strengthen a parsimonious account of synesthesia, at the least of the visual-auditory type.

Role of the GABAA receptors in the long-term cognitive impairments caused by neonatal sevoflurane exposure

2019 ◽  
Vol 30 (8) ◽  
pp. 869-879 ◽  
Author(s):  
Tao Li ◽  
Zeyi Huang ◽  
Xianwen Wang ◽  
Ju Zou ◽  
Sijie Tan
Keyword(s):  
Structural Changes ◽  
Cognitive Impairments ◽  
Elevated Serum ◽  
Developmental Abnormalities ◽  
Inhalational Anesthetic ◽  
Excitatory Gaba ◽  
Hpa Axis Activity ◽  
The Brain

Abstract Sevoflurane is a widely used inhalational anesthetic in pediatric surgeries, which is considered reasonably safe and reversible upon withdrawal. However, recent preclinical studies suggested that peri-neonatal sevoflurane exposure may cause developmental abnormalities in the brain. The present review aimed to present and discuss the accumulating experimental data regarding the undesirable effects of sevoflurane on brain development as revealed by the laboratory studies. First, we summarized the long-lasting side effects of neonatal sevoflurane exposure on cognitive functions. Subsequently, we presented the structural changes, namely, neuroapoptosis, neurogenesis and synaptogenesis, following sevoflurane exposure in the immature brain. Finally, we also discussed the potential mechanisms underlying subsequent cognitive impairments later in life, which are induced by neonatal sevoflurane exposure and pointed out potential strategies for mitigating sevoflurane-induced long-term cognitive impairments. The type A gamma-amino butyric acid (GABAA) receptor, the main targets of sevoflurane, is excitatory rather than inhibitory in the immature neurons. The excitatory effects of the GABAA receptors have been linked to increased neuroapoptosis, elevated serum corticosterone levels and epigenetic modifications following neonatal sevoflurane exposure in rodents, which might contribute to sevoflurane-induced long-term cognitive abnormalities. We proposed that the excitatory GABAA receptor-mediated HPA axis activity might be a novel mechanism underlying sevoflurane-induced long-term cognitive impairments. More studies are needed to investigate the effectiveness and mechanisms by targeting the excitatory GABAA receptor as a prevention strategy to alleviate cognitive deficits induced by neonatal sevoflurane exposure in future.

scholarly journals The modular and integrative functional architecture of the human brain

2015 ◽  
Vol 112 (49) ◽  
pp. E6798-E6807 ◽  
Author(s):  
Maxwell A. Bertolero ◽  
B. T. Thomas Yeo ◽  
Mark D’Esposito
Keyword(s):  
Human Brain ◽  
Cognitive Functions ◽  
Topic Model ◽  
Brain Activity ◽  
Modular Function ◽  
Imaging Data ◽  
Functional Architecture ◽  
Brain Imaging Data ◽  
The Brain

Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules’ processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author–topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network’s modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules’ functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain’s modular yet integrated implementation of cognitive functions.

scholarly journals Cannabidiol has a unique effect on global brain activity: a pharmacological, functional MRI study in awake mice

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Aymen H. Sadaka ◽  
Ana G. Ozuna ◽  
Richard J. Ortiz ◽  
Praveen Kulkarni ◽  
Clare T. Johnson ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Brain Activity ◽  
Stress Disorders ◽  
Functional Coupling ◽  
Specific Information ◽  
Imaging Data ◽  
Post Traumatic Stress ◽  
Mri Study ◽  
Dose Dependent ◽  
The Brain

Abstract Background The phytocannabinoid cannabidiol (CBD) exhibits anxiolytic activity and has been promoted as a potential treatment for post-traumatic stress disorders. How does CBD interact with the brain to alter behavior? We hypothesized that CBD would produce a dose-dependent reduction in brain activity and functional coupling in neural circuitry associated with fear and defense. Methods During the scanning session awake mice were given vehicle or CBD (3, 10, or 30 mg/kg I.P.) and imaged for 10 min post treatment. Mice were also treated with the 10 mg/kg dose of CBD and imaged 1 h later for resting state BOLD functional connectivity (rsFC). Imaging data were registered to a 3D MRI mouse atlas providing site-specific information on 138 different brain areas. Blood samples were collected for CBD measurements. Results CBD produced a dose-dependent polarization of activation along the rostral-caudal axis of the brain. The olfactory bulb and prefrontal cortex showed an increase in positive BOLD whereas the brainstem and cerebellum showed a decrease in BOLD signal. This negative BOLD affected many areas connected to the ascending reticular activating system (ARAS). The ARAS was decoupled to much of the brain but was hyperconnected to the olfactory system and prefrontal cortex. Conclusion The CBD-induced decrease in ARAS activity is consistent with an emerging literature suggesting that CBD reduces autonomic arousal under conditions of emotional and physical stress.

Type 2 diabetes mellitus and depression

2016 ◽  
Vol 94 (2) ◽  
pp. 97-101
Author(s):  
Andrey. Ya. Kravchenko ◽  
V. V. Sahnenko ◽  
A. V. Budnevskyj ◽  
S. N. Podvygyn
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Affective Disorders ◽  
Structural Changes ◽  
Depressive Disorders ◽  
Clinical Prognosis ◽  
The Brain

The clinical significance of type 2 diabetes mellitus is not confined to metabolic disorders. A serious problem is also affective pathology that occurs in the majority (30-70%) of patients. However, diagnostics and correction of anxiety and depressive disorders associated with diabetes are often given insufficient attention. Many studies showed relationship between affective disorders and low adherence to the prescribed treatment resulting in general deterioration of clinical prognosis of diabetes. This review article describes the basic mechanisms behind the interrelation of affective disorders and diabetes. The role of persistent subclinical inflammation in diabetes and depression is discussed. The influence of emotional stress on the activation of the hypothalamic-pituitary-adrenal axis on the overproduction of cortisol is emphasized. The similarity of some structural changes in the brain tissue in diabetes and depression is discussed. Effect of endocrine disruption in the emotional sphere is demonstrated. Mechanisms responsible for the development of diabetes and its complications provoked by depression are considered

scholarly journals The topology of higher-order complexes associated with brain hubs in human connectomes

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Miroslav Andjelković ◽  
Bosiljka Tadić ◽  
Roderick Melnik
Keyword(s):  
Complex Dynamics ◽  
Simplicial Complexes ◽  
Brain Regions ◽  
Higher Order ◽  
Core Networks ◽  
Right Cerebral Hemisphere ◽  
Left And Right ◽  
Order Complexes ◽  
The Brain

Abstract Higher-order connectivity in complex systems described by simplexes of different orders provides a geometry for simplex-based dynamical variables and interactions. Simplicial complexes that constitute a functional geometry of the human connectome can be crucial for the brain complex dynamics. In this context, the best-connected brain areas, designated as hub nodes, play a central role in supporting integrated brain function. Here, we study the structure of simplicial complexes attached to eight global hubs in the female and male connectomes and identify the core networks among the affected brain regions. These eight hubs (Putamen, Caudate, Hippocampus and Thalamus-Proper in the left and right cerebral hemisphere) are the highest-ranking according to their topological dimension, defined as the number of simplexes of all orders in which the node participates. Furthermore, we analyse the weight-dependent heterogeneity of simplexes. We demonstrate changes in the structure of identified core networks and topological entropy when the threshold weight is gradually increased. These results highlight the role of higher-order interactions in human brain networks and provide additional evidence for (dis)similarity between the female and male connectomes.

scholarly journals The Functional Specialization of the Planum Temporale

2009 ◽  
Vol 102 (6) ◽  
pp. 3079-3081 ◽  
Author(s):  
Zane Z. Zheng
Keyword(s):  
Functional Mri ◽  
Functional Properties ◽  
Functional Specialization ◽  
Planum Temporale ◽  
Motor Processing ◽  
Mri Study ◽  
The Brain ◽  
Speech Motor

The planum temporale (PT) is an anatomically heterogeneous area with several architectonic subdivisions and extensive connections with other parts of the brain. Here I review a functional MRI study investigating the role of a functionally defined area (Spt) within the left PT in speech motor processing and discuss the functional properties of PT regions in the context of findings from recent neurophysiological and neuroimaging studies.

scholarly journals OCT STUDIES IN SCHIZOPHRENIA: CURRENT EVIDENCE AND FUTURE PERSPECTIVES

2020 ◽  
Vol 8 (11) ◽  
pp. 769-777
Author(s):  
Ushna Usman ◽  
Keyword(s):  
Structural Changes ◽  
Neurodevelopmental Disorder ◽  
Current Evidence ◽  
Structural Alterations ◽  
Comprehensive Search ◽  
The Subject ◽  
The Relationship ◽  
The Brain ◽  
Neuroimaging Techniques

Background: Schizophrenia is a detrimental neurodevelopmental disorder that affects nearly 1 % of the population worldwide. Although schizophrenia ranks among the leading causes of global disease-related disability, definitive investigations do not exist for its diagnosis at present. Since the retina is derived from the same neural layer that the brain develops from, OCT imaging of retina can provide valuable information regarding underlying pathology of schizophrenia. Objectives: This review aims at describing the potential relevance of OCT studies 1) in understanding current insights into retinal structural changes in schizophrenia 2) in understanding the relationship between retinal structural alterations and disease progression and chronicity 3) and to determine the potential role of retinal changes as biomarkers of schizophrenia. Methodology: A comprehensive search of databases such as PubMed, Google Scholar and Medline was conducted using the keywords: schizophrenia, retina, OCT and RNFL changes. Relevant articles were identified and their key findings summarized in this review. Conclusion: OCT studies in schizophrenia patients conducted in recent years continue to provide evidence of retinal structural alterations associated with schizophrenia. However, the findings of these studies vary and there is a need to conduct further studies for clarification regarding the subject. The application of OCT and other neuroimaging techniques to correlate retinal structural alterations with schizophrenia may potentially help establish the role of retinal variables as biomarkers for the disease, and may open a gateway for better diagnostic investigations in schizophrenia.

scholarly journals Analysis of the Role of Neurospecific Proteins in the Diagnosis of Cognitive Dysfunction in Patients with Type 1 Diabetes Mellitus

2014 ◽  
Vol 17 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Yulia Gennad'evna Samoylova ◽  
Maria Vladimirovna Novoselova ◽  
Natalya Grigor'evna Zhukova ◽  
Olga Sergeevna Tonkikh
Keyword(s):  
Diabetes Mellitus ◽  
Central Nervous System ◽  
Nervous System ◽  
Cognitive Dysfunction ◽  
Structural Changes ◽  
Neurospecific Proteins ◽  
The Central Nervous System ◽  
The Brain

Background. Impairment of the central nervous system manifested as cognitive dysfunction caused by metabolic or structural changes is a severe progressive vascular complication of type 1 diabetes mellitus (T1DM). Significant difficulties in the diagnosis of cognitive dysfunction are associated with subjective diagnostic techniques. Objective. To identify the role of neurospecific markers in the diagnosis of cognitive dysfunction in patients with T1DM. Materials and Methods. A total of 58 patients with T1DM aged 16?30 years were included in this study. The control group included 29 healthy young adults matched by gender and age. The survey included clinical and laboratory examinations, psychological testing and magnetic resonance imaging (MRI) of the brain. The Montreal Cognitive Assessment (MoCA) was used to screen for cognitive impairment. The levels of neurospecific proteins (S100, glial fibrillary acidic protein and myelin basic protein) were determined to identify early markers of cognitive impairment. MRI of the brain was performed using a Siemens Magnetom 1.0 T system to assess structural changes in the central nervous system. Results. The study revealed increased levels of all neurospecific proteins, which correlated with parameters of hyperglycaemia and cognitive deficit (MoCA scores of

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