The behavior of an individual changes from neonate to elderly due to the development of the central nervous system (CNS). One of the important components of the CNS is the cerebrospinal fluid (CSF), which bathes the brain and spinal cord. CSF has changing properties throughout life, including composition and volume imbalance. However, a specific age group that shows prevailing abnormality- corresponding behavior remains unclear. The objective of this article is to explore how such changes reflect on one's psychological as well as physical processing. Production of CSF could be affected by many factors, including its flow, absorption, volume, and composition. Prenatally, congenital malformations and infections hold the greatest risk of impacting the child's physical and mental growth. In adolescents, transmission of external substances like alcohol or drugs in the cerebrospinal fluid is known to impact severe mood changes that potentially result in suicide and depression. In the adult working population, the influence of stress levels on CSF composition causes anxiety and sleep disorders. Finally, the reduced production of CSF was found to be associated with memory deficits and Alzheimer's disease in the aging group. From the collected evidence, it can be observed that CSF played an important role in behavioral changes and may be associated with neurodegenerations. By linking the CSF abnormalities to the clinical symptoms at different stages of life, it may provide additional information in the diagnosis of diseases that are associated with neuropsychological changes.
Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, etc., which assists in effective communication with others. Detection and differentiation between thoughts, feelings, and behaviours are paramount in learning to control our emotions and respond more effectively in stressful circumstances. The ability to perceive, analyse, process, interpret, remember, and retrieve information while making judgments to respond correctly is referred to as Cognitive Behavior. After making a significant mark in emotion analysis, deception detection is one of the key areas to connect human behaviour, mainly in the forensic domain. Detection of lies, deception, malicious intent, abnormal behaviour, emotions, stress, etc., have significant roles in advanced stages of behavioral science. Artificial Intelligence and Machine learning (AI/ML) has helped a great deal in pattern recognition, data extraction and analysis, and interpretations. The goal of using AI and ML in behavioral sciences is to infer human behaviour, mainly for mental health or forensic investigations. The presented work provides an extensive review of the research on cognitive behaviour analysis. A parametric study is presented based on different physical characteristics, emotional behaviours, data collection sensing mechanisms, unimodal and multimodal datasets, modelling AI/ML methods, challenges, and future research directions.