Table 1.

Presentation of neuroscientific tools

ToolForm of analysisDescriptionStrengthsLimitationsMost appropriate for researchStudies that used the tool
Anatomical imaging*Brain imagesMRI scanner measures static differences in brain anatomyGood spatial resolution
Identify differences in the volume of basic tissue types in the brain
Assess structural connectivity of the brain
The significance of differences in white matter volume is not well understood
Reliable individual difference studies require large N (>50)
Tests hypotheses about individual differences between brain anatomy/volume/connectivity/microstructure and cognition/behavior 
Electroencephalography (EEG)*Brain electrical activityElectrodes placed on the scalp to measure electrical changes that result from neural activityLongest established method
Strongest temporal resolution (with MEG)
Less expensive than fMRI or MEG
Portable – not constrained to scanner
Allows realistic interaction between subjects
Sensitive to other sources of electrical current (e.g. muscular activity)
Detects signals that are not wholly spatially independent, creating an inverse problem
Requires face-to-face interaction between subjects
Tests hypotheses about the timing of cognitive processes
Tests hypotheses related to known and reliable ERP signatures (e.g. N400, mismatch negativity)
Tests hypotheses relating to high-frequency neuronal oscillations (e.g. alpha and gamma)
Balthazard et al. (2012)
Deitz et al. (2016)
Geske and Bellur (2008)
Hannah et al. (2013)
Daugherty, Hoffman and Kennedy (2016)
Telpaz et al. (2015)
Pozharliev et al. (2015)
Gountas et al. (2019) 
Eye-trackingEye movementAssistive technology allows one to assess and research an individual's eye movements revealing where to visual attention is directedIdentifies in which areas the person fixes their attention, for how long and in what order they follow their visual exploration
It can be done either in closed or open environments, dynamically or statically, for activities carried out in a natural or controlled environment, allowing various applications
The equipment and software, as most commercial products still have a high average price
Although this technology is becoming cheaper and even though there are free solutions for conducting and analyzing experiments, the technical reliability of low-cost solutions can be challenging
It can be used in product and service interaction activities, sports, occupational or leisure activities, contributing to knowledge about eye movement and its relationship with cognitive processesGerpott et al. (2018)
Meißner, Oppewal and Huber (2020)
Maran et al. (2019)
Federico and Brandimonte (2019)
Federico et al. (2021)
Ceravolo et al. (2019)
Venkatraman et al. (2012)
Meißner et al. (2020)
Facial action coding system (FACS)Facial expressionsIt is a scientific measurement system of facial actions/movements in human beingsResearchers can manually label almost any anatomically possible facial expressionLabeling expressions require trained expertsUsed to analyze the emotions displayed on the face, differentiating them through the movement of the facial muscles 
Facial electromyographyMuscles electrical impulsesIt is a tool that measures muscle activity by detecting and amplifying the small electrical impulses generated by muscle fibers when they contractIt is the most reliable tool to assess reactions with emotional valence by placing bipolar electrodes on two facial muscles
It is not language-dependent and does not require cognitive effort or memory
It can measure the activities of facial muscles to weakly evocative emotional stimuli
It is less intrusive than other physiological measures
It is often the only helpful approach when movement is not visible
Although commonly used as an index of emotional responses, facial muscle activity is also influenced by the social context in which it is measuredUsed to verify emotional valence (positive or negative), measure social cognition (empathic states) and situational awareness
It has been used to distinguish and track positive and negative emotional reactions to a stimulus as they occur
Minas et al. (2014)
Zellars et al. (2008) 
Functional magnetic resonance imaging (fMRI)*Brain metabolical activities and imagesIndirectly measures neural activity via changes in oxygenation level in blood
Depends on the function of endogenous biological mechanism by which neuronal activity leads to changes in blood flow (“neurovascular coupling”)
Captures entire brain
Offering rich spatial information, provides a good foundation for inferences about function
Limited to tasks that can be performed in a scanner
Cannot easily distinguish top-down from bottom-up signals
Measurements are not strictly quantitative (units are not biologically meaningful)
Uses localization of function, forward inference or reverse inference (see discussion)
Assesses functional connectivity of regions during tasks or rest
Assesses changes in brain function before/after intervention
Assesses neural basis of individual differences
Molenberghs et al. (2017)
Boyatzis et al. (2012)
Laureiro-Martínez et al. (2014)
Plassmann et al. (2008)
Berns and Moore (2012) 
Functional near-infrared spectroscopy (fNIRS)*Brain metabolical activitiesIndirectly measures neural activity by detecting changes in near-infrared light, which reflect changes in the amount of (de)oxygenated hemoglobin in the blood
Depends on neurovascular coupling, similar to fMRI
Has better temporal resolution and is cheaper than fMRI
No cost after initial purchase (e.g. maintenance)
Portable
Participant does not need to remain stationary, as with other imaging techniques
Similar to EEG, allows realistic interaction between subjects
Lower spatial resolution and lower signal-to-noise ratio, compared to fMRI
Can only detect metabolic activity on the cortical surface (approximately only 4 cm underneath the skull)
Tests hypotheses for tasks that are not optimally suited for fMRI paradigms (e.g. those requiring movement or face-to-face social interaction)
Involves longitudinal studies, given the relatively low cost
Lee and Yun (2017)
Meyerding and Mehlhose (2020) 
Galvanic skin response (GSR)Glands electric activityIt measures the electrical activity of glands that produce sweat in the palms of the hands and fingertips, which are more sensitive to emotions and thoughtsThe more stimulated the central nervous system, the more sweat the glands will produce and the less resistance will be measured on the electrodes, thus increasing the amplitude of the circuit's output signal
Although this response is not always visible (sweat), there is a change in skin resistance because of psychological changes such as increased arousal and anxiety
Individuals may experience a gradual loss of motor facultiesIt is widely used in learning relaxation in general and to help identify situations that cause stress and anxietyChristopoulos, Uy and Yap (2019)
Kouchaki and Wareham (2015)
Reimann et al. (2012) 
Magnetoencephalography
(MEG)*
Records electrical activity in the brainMagnetometers near the scalp measure magnetic fields generated by neural activityMore reliable and accurate than EEG because magnetic permeability of head is more uniform than electrical conductivity, which simplifies inverse solution calculationsMore expensive than EEG
Not portable
Very sensitive to external noise
Signal falls off with a cube of distance – deeper brain structures very hard to detect
Most sensitive to activity in regions that are perpendicular to the skull surface
Tests hypotheses about the timing of cognitive processes, neuronal oscillations and connectivity between regions
Combined with EEG, it allows more signals to be detected and improved solutions to the inverse problem
 
Positron emission tomography (PET)*Records metabolic activity in the brainA radioactive tracer is inserted into the bloodstreamO15 tracer measures blood flow in absolute terms
Can measure other biological markers (e.g. glucose isotope provides an absolute measure of metabolic activity)
A small number of measurements per subject
Low spatial and temporal resolution compared to fMRI
Ethical issues arise from the fact that this is an invasive technique involving intravenous administration of radioactive isotopes
Limit to a number of scanning sessions per individual to reduce radiation exposure
Requires nearby cyclotron to produce isotopes
Accurate anatomical localization requires a separate MRI scan
As for fMRI has limited application to functional connectivity
Superior to fMRI for assessing the neural basis of individual differences (absolute measure not confounded by irrelevant factors)
 
Steady state topographyRecords electrical activity in the brainIt is a methodology for observing and measuring human brain activityHigh temporal resolution: SST methodology is able to continuously track rapid changes in brain activity over a long period of time
The SST methodology is able to tolerate high levels of noise or interference because of head movements, muscle tension, blinking and eye movements
Suitable for cognitive studies where eye, head and body movements occur naturally
It needs to be used in conjunction with other toolsUsed with audiovisual materials and/or during a psychological task to record the brain's electrical activity 
Transcranial direct current stimulation (tDCS)*Records electrical activity in the brainCoil is used to suppress (occasionally to enhance) neural activity using an electrical current
Single-pulse (very brief effect) and repetitive pulse methods (*15 min effect) can be used
Allows for within-participant comparisons that sidestep endogeneity concerns
Good temporal specificity is possible with a single pulse
Portable – not confined to the scanner
With specialized equipment, virtual lesion location can be pinpointed to regions were shown to be activated by fMRI
Generally, it can only affect the dorsal, lateral and occipital cortical surfaces (but see deep brain TMS)
Directly affects only isolated regions, but the impact on networks/other regions is not fully known
Impact of machine noise and skeletal muscle enervation on task performance requires careful control
Tests hypotheses related to the necessity a particular brain region might have for cognition and behavior; tests and resolves concerns about reverse inference 
Transcranial magnetic stimulation (TMS)*Records electrical activity in the brainSimilar to TMS but uses a constant current applied through patch electrodesEnable brain to causal cognition with more confidence because of direct stimulation of neural activity
Portable
Well tolerated by participants
It can both increase and decrease neuronal excitability
Effects last longer than TMS
The technique is developing rapidly with numerous technical innovations
Anatomical location of effects is hard to assess
Less spatial and temporal control than TMS
Recent meta-analysis suggests no statistically reliable effects, although ongoing advances may overcome shortcomings
Tests hypotheses related to the necessity cortical areas might have for cognition, behavior and learningCamus et al. (2009) 

Notes:

Prepared from different sources in this work; the items marked *are from the work by Jack et al. (2019, pp. 425–427)

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