Cognitive neuroscience is a multidisciplinary field focused on the exploration of the neural substrates underlying cognitive functions; it originated in the early 1980s from the connection between neuroscience and cognitive science although over the years it has constantly been enriched by an increasing interaction with several other disciplines, 1 such as neuro physiology, neuroanatomy, neuropsychology, psychophysiology and computational modelling. Nowadays, cognitive neuro science represents a prominent field in the investigation of the human brain. Due to its multidisciplinary nature, cognitive neuroscience adopts several investigation methods, such as lesion studies, multiunit and singlecell recording; never theless, the most remarkable progress in understanding the relationship between brain and cognition has been made with functional brain imaging methods.Before the advent of brain imaging, the association between brain regions and cognitive functions was mainly provided by clinical neuropsychological investigations of braindamaged patients and postmortem examination. When brain imaging was introduced, cognitive scientists were given the chance to investigate the human brain in a wide variety of actions, from perception to higher order mental activities. With brain Cognitive neuroscience is a multidisciplinary field focused on the exploration of the neural substrates underlying cognitive functions; the most remarkable progress in understanding the relationship between brain and cognition has been made with functional brain imaging. Functional near infrared (fNIR) spectroscopy is a non-invasive brain imaging technique that measures the variation of oxygenated and deoxygenated haemoglobin at high temporal resolution. Stemming from the first pioneering experiments, the use of fNIR spectroscopy in cognitive neuroscience has constantly increased. Here, we present a brief review of the fNIR spectroscopy investigations in the cognitive neuroscience field. The topics discussed encompass the classical issues in cognitive neuroscience, such as the exploration of the neural correlates of vision, language, memory, attention and executive functions. Other relevant research topics are introduced in order to show the strengths and the limitations of fNIR spectroscopy, as well as its potential in the biomedical field. This review is intended to provide a general view of the wide variety of optical imaging applications in the field of cognitive neuroscience. The increasing body of studies and the constant technical improvement suggest that fNIR spectroscopy is a versatile and promising instrument to investigate the neural correlates of human cognition.

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The aim of this study was to assess the prefrontal cortex (PFC) oxygenation response to a 5-min incremental tilt board balance task (ITBBT) in a semi-immersive virtual reality (VR) environment driven by a depth-sensing camera. It was hypothesized that the PFC would be bilaterally activated in response to the increase of the ITBBT difficulty, given the PFC involvement in the allocation of the attentional resources to maintain postural control. Twenty-two healthy male subjects were asked to use medial-lateral postural sways to maintain their equilibrium on a virtual tilt board (VTB) balancing over a pivot. When the subject was unable to maintain the VTB angle within ± 35° the VTB became red (error). An eight-channel fNIRS system was employed for measuring changes in PFC oxygenated-deoxygenated hemoglobin (O2Hb-HHb, respectively). Results revealed that the number of the performed board sways and errors augmented with the increasing of the ITBBT difficulty. A PFC activation was observed with a tendency to plateau for both O2Hb-HHb changes within the last 2 min of the task. A significant main effect of the level of difficulty was found in O2Hb and HHb (p < 0.001). The study has demonstrated that the oxygenation increased over the PFC while the subject was performing an ITBBT in a semi-immersive VR environment. This increase was modulated by the task difficulty, suggesting that the PFC is bilaterally involved in attention-demanding tasks. This task could be considered useful for diagnostic testing and functional neurorehabilitation given its adaptability in elderly and in patients with movement disorders.

Models of the spatial-numerical association of response codes (SNARC) effect-faster responses to small numbers using left effectors, and the converse for large numbers-diverge substantially in localizing the root cause of this effect along the numbers' processing chain. One class of models ascribes the cause of the SNARC effect to the inherently spatial nature of the semantic representation of numerical magnitude. A different class of models ascribes the effect's cause to the processing dynamics taking place during response selection. To disentangle these opposing views, we devised a paradigm combining magnitude comparison and stimulus-response switching in order to monitor modulations of the SNARC effect while concurrently tapping both semantic and response-related processing stages. We observed that the SNARC effect varied nonlinearly as a function of both manipulated factors, a result that can hardly be reconciled with a unitary cause of the SNARC effect.

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