Neuroscience
Sessions
Oct 09-10, 2025 Tokyo, Japan

World Congress on Neuroscience

Early Bird Registration End Date: Feb 05, 2025
Abstract Submission Opens: Dec 23, 2024

Sessions

Neuroscience

Neuroscience is the study of the brain and nervous system, exploring how they control everything from basic bodily functions to complex thoughts, emotions, and behaviors. By examining the structure and function of neurons and brain circuits, neuroscience uncovers the mechanisms behind learning, memory, decision-making, and sensory experiences. The field also provides insights into neurological disorders, helping to develop new treatments for conditions like Alzheimer's, epilepsy, and depression. From cellular processes to whole-brain dynamics, neuroscience offers a deeper understanding of what makes us who we are.

Psychiatry

Psychiatry is the branch of medicine focused on diagnosing, treating, and preventing mental health disorders. It integrates medical knowledge with psychological and neuroscientific insights to address conditions like depression, anxiety, bipolar disorder, and schizophrenia. Psychiatrists use a range of therapies, including medication, psychotherapy, and lifestyle interventions, to help individuals manage symptoms and improve their mental well-being. As an ever-evolving field, psychiatry plays a crucial role in advancing our understanding of the brain and its impact on behavior, emotions, and overall mental health.

Neurology and Neurosurgery

Neurology and neurosurgery are medical specialties focused on the diagnosis and treatment of disorders affecting the nervous system, including the brain, spinal cord, and peripheral nerves. Neurology addresses conditions such as stroke, epilepsy, multiple sclerosis, and neurodegenerative diseases through non-surgical means, including medication and rehabilitation. Neurosurgery involves the surgical management of neurological conditions like brain tumors, aneurysms, and spinal cord injuries, aiming to restore or improve function. Together, these fields play a vital role in advancing our understanding and treatment of complex nervous system disorders, improving patient outcomes through both medical and surgical interventions.

Stroke and Trauma

Stroke and trauma represent critical medical emergencies that profoundly impact the brain and nervous system. Stroke, which occurs when blood flow to the brain is disrupted, can lead to severe neurological deficits and long-term disabilities. Timely intervention is crucial, with treatments ranging from clot-busting medications to surgical procedures aimed at restoring blood flow. Traumatic brain injury (TBI), caused by external forces such as falls, accidents, or violence, can result in a spectrum of cognitive, physical, and emotional challenges. Effective management of stroke and trauma involves a multidisciplinary approach, integrating emergency care, rehabilitation, and ongoing support to optimize recovery and improve quality of life for affected individuals. Together, these fields emphasize the importance of swift medical response and comprehensive rehabilitation in addressing the complexities of brain injury.

Psychology and Mental Health

Psychology and mental health are integral to understanding and improving human well-being, encompassing the study of thoughts, emotions, and behaviors. Psychology explores the underlying cognitive processes and social influences that shape our mental health, providing insights into various disorders such as anxiety, depression, and PTSD. Mental health focuses on promoting emotional resilience and well-being, advocating for early intervention and effective treatment strategies, including therapy, counseling, and lifestyle changes. By integrating research findings with practical applications, the field aims to reduce stigma, enhance access to mental health resources, and foster a supportive environment for individuals facing mental health challenges, ultimately contributing to a healthier society.

Anxiety and depression disorders

Anxiety and depression disorders are among the most prevalent mental health conditions, significantly impacting individuals' lives and well-being. Anxiety disorders, characterized by excessive worry, fear, and apprehension, manifest in various forms, including generalized anxiety disorder, panic disorder, and social anxiety disorder. These conditions can lead to avoidance behaviors and interfere with daily functioning. Conversely, depression disorders, such as major depressive disorder and persistent depressive disorder, are marked by persistent sadness, loss of interest, and a range of physical symptoms, affecting mood and motivation. Both anxiety and depression often co-occur, complicating diagnosis and treatment. Effective management typically involves a combination of psychotherapy, medication, and lifestyle modifications, emphasizing the importance of early intervention and a holistic approach to mental health care. Addressing these disorders is crucial for enhancing the quality of life and promoting overall emotional well-being.

Pediatric neurology and Epilepsy

Pediatric neurology and epilepsy are specialized fields focused on diagnosing and treating neurological disorders in children. Pediatric neurology addresses a wide range of conditions, including developmental delays, cerebral palsy, migraines, and genetic disorders, emphasizing the unique neurological needs of infants, children, and adolescents. Epilepsy, a common neurological disorder characterized by recurrent seizures, presents distinct challenges in pediatric populations, as it can affect cognitive development and social functioning. Effective management of epilepsy in children often requires a comprehensive approach, including accurate diagnosis, seizure classification, and individualized treatment plans that may involve antiepileptic medications, dietary therapies, and, in some cases, surgical intervention. Collaboration among healthcare providers, families, and educational systems is vital to ensure optimal care and support for children with neurological conditions, ultimately aiming to enhance their quality of life and developmental outcomes.

Alzheimer and Parkinson Diseases

Alzheimer's and Parkinson's diseases are two prevalent neurodegenerative disorders that significantly impact cognitive and motor functions. Alzheimer's disease is characterized by progressive memory loss, cognitive decline, and changes in behavior, primarily affecting older adults. It is associated with the accumulation of amyloid plaques and tau tangles in the brain, leading to neuronal damage and impaired communication between brain cells. In contrast, Parkinson's disease primarily affects movement, causing symptoms such as tremors, rigidity, and bradykinesia (slowness of movement). This condition arises from the degeneration of dopamine-producing neurons in the brain, impacting coordination and balance. While there is currently no cure for either disease, early diagnosis and a multidisciplinary approach to treatment, including medications, therapy, and lifestyle interventions, can help manage symptoms and improve the quality of life for individuals affected by these debilitating conditions. Ongoing research aims to uncover the underlying mechanisms of these diseases and develop innovative therapies to slow their progression and enhance patient care.

CNS Injury, Repair and Inhibition, Excitation

Central nervous system (CNS) injury involves damage to the brain and spinal cord, often resulting from trauma, stroke, or neurodegenerative diseases. Unlike peripheral nerves, the CNS has a limited ability to repair itself, making recovery from such injuries particularly challenging. Understanding the processes of repair, inhibition, and excitation is crucial for developing effective treatments. After an injury, the brain attempts to regenerate damaged tissues through neuroplasticity and the formation of new neural connections. However, this repair process is often hindered by inhibitory factors, such as scar formation and the presence of inhibitory molecules that prevent regeneration. Conversely, excitation refers to the activation of neuronal pathways that can enhance recovery through targeted therapies. Research in this area aims to identify strategies that promote repair while overcoming inhibition, ultimately paving the way for innovative treatments that restore function and improve outcomes for individuals with CNS injuries.

Neuroimmunology and Neurological Infections

Neuroimmunology is a burgeoning field that explores the complex interactions between the nervous system and the immune system, revealing how immune responses can impact neurological health and disease. This interdisciplinary approach is crucial for understanding conditions such as multiple sclerosis, where the immune system mistakenly attacks the myelin sheath surrounding nerve fibers, leading to inflammation and neurological impairment. Additionally, neurological infections pose significant challenges to brain health, with pathogens such as viruses, bacteria, and parasites causing conditions like meningitis, encephalitis, and neurocysticercosis. These infections can trigger severe inflammation and disrupt normal neurological function, resulting in long-term complications. Ongoing research in neuroimmunology aims to unravel the mechanisms underlying these interactions, with the goal of developing targeted therapies to modulate immune responses and improve outcomes for patients affected by neurological disorders and infections. This field is vital for advancing our understanding of how immune dysregulation contributes to neurological diseases and enhancing strategies for prevention and treatment.

Latest News

How brain connectivity and machine learning enhance understanding of human cognition

2024-12-16 - 2024-12

A recent study explores the relationship between brain connectivity and intelligence, highlighting the value of interpretability in predictive modeling for deeper insights into human cognition.

Machine learning in neuroscience
Neuroscientific research on human cognition has evolved from focusing on single-variable explanatory studies to employing machine learning-based predictive modeling. This shift enables the analysis of relationships between behavior and multiple neurobiological variables to forecast behavior across diverse samples.

Intelligence, a key predictor of life outcomes such as health and academic achievement, has been extensively studied, with theories dividing it into fluid and crystallized components. Recent machine learning approaches have enhanced intelligence prediction using brain connectivity data. However, limited conceptual insights, reliance on specific intelligence measures, and methodological constraints highlight the need for further research to systematically explore predictive brain features.
The present study adhered to a rigorous methodology, with all analyses, sample sizes, and variables preregistered on the Open Science Framework. The primary analyses followed preregistered protocols, with additional post hoc analyses conducted to further explore brain connections most relevant for intelligence prediction.

Study participants were drawn from the Human Connectome Project (HCP) Young Adult Sample S1200, consisting of 1,200 individuals between 22 and 37 years of age. Informed consent was obtained in accordance with the Declaration of Helsinki and all procedures were approved by the Washington University Institutional Review Board.

After exclusions for missing data, cognitive impairment based on Mini-Mental State Examination (MMSE) scores of 26 and less, or excessive head motion, the final sample included 806 participants, 418 of whom were female and 733 right-handed. Measures of intelligence including general intelligence (gg), crystallized intelligence (gCgC), and fluid intelligence (gFgF) were estimated using bi-factor and exploratory factor analyses from cognitive test scores.
Functional magnetic resonance imaging (fMRI) data were collected during resting state and seven cognitive tasks to construct subject-specific functional connectivity (FC) matrices. Minimally pre-processed fMRI data underwent additional preprocessing steps, including nuisance regression, global signal correction, and removal of task-evoked activation, to improve connectivity estimates. Predictive modeling utilized feedforward neural networks, which incorporated five-fold cross-validation, hyperparameter optimization, and an out-of-sample deconfounding approach to control for covariates such as age, sex, and head motion.
Model interpretability was enhanced using layer-wise relevance propagation (LRP) to identify functional brain connections most critical for predictions. External replication was performed using two independent d


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