Brain Imaging

The ability to observe the structure and activity of the human brain without surgery transformed cognitive neuroscience in the latter half of the twentieth century. Brain imaging techniques range from purely structural (MRI, CT) to functional (fMRI, PET, EEG, MEG), and from purely observational (correlational) to causal (TMS, tDCS). Each technique involves fundamental trade-offs — particularly between temporal resolution (how quickly changes can be detected) and spatial resolution (how precisely they can be located) — that determine which research questions each method can answer.

Magnetic Resonance Imaging (MRI) uses strong magnetic fields and radiofrequency pulses to produce detailed images of brain anatomy, using the magnetic properties of hydrogen atoms in water. Structural MRI reveals grey and white matter volume, cortical thickness, and anatomical anomalies. Diffusion tensor imaging (DTI) tracks water diffusion along white matter tracts, revealing structural connectivity. Functional MRI (fMRI), developed in the early 1990s following Ogawa et al.'s (1990) description of the blood-oxygenation-level-dependent (BOLD) contrast, measures the haemodynamic response to neural activity: activated neurons increase local oxygen consumption; the resulting influx of oxygenated haemoglobin (which is diamagnetic, unlike deoxygenated haemoglobin which is paramagnetic) changes the local T2* signal. This indirect proxy for neural activity has high spatial resolution (~1–3 mm³) but poor temporal resolution (~2–6 seconds) due to the sluggish haemodynamic response.

Electroencephalography (EEG), first applied to humans by Hans Berger in 1929, records electrical potentials from populations of synchronously active cortical neurons via electrodes placed on the scalp. Its defining advantage is millisecond temporal resolution — adequate to track the rapid dynamics of cognitive processing. Its limitation is poor spatial resolution: electrical signals are smeared by skull and scalp (the "inverse problem" of source localisation). Event-related potentials (ERPs) are EEG signals time-locked to specific events (stimuli or responses) and averaged across trials to reveal component waveforms (N400, P300, MMN) that index specific cognitive processes. Magnetoencephalography (MEG) measures the tiny magnetic fields generated by synchronous neural currents using superconducting quantum interference devices (SQUIDs). Magnetic fields are not distorted by the skull, giving MEG better spatial resolution than EEG with similarly excellent temporal resolution; but MEG is expensive (~£3 million for a system) and requires magnetic shielding.

Transcranial magnetic stimulation (TMS) is a technique for establishing causal relationships rather than correlations. A rapidly changing magnetic field induces electrical currents in superficial cortical regions, temporarily disrupting local neural processing — creating a "virtual lesion." By applying TMS while participants perform cognitive tasks, researchers can ask: is this specific region necessary for this function? Single-pulse TMS can time-stamp the role of a region within milliseconds; repetitive TMS (rTMS) produces longer-lasting changes in cortical excitability. PET (positron emission tomography) uses radioactively labelled compounds to measure cerebral blood flow, glucose metabolism, or neurotransmitter receptor binding — it was the dominant functional imaging technique before fMRI but is now used primarily for neurochemical imaging.

Frequently Asked Questions

What is the BOLD signal in fMRI and what are its limitations?

The BOLD (Blood Oxygenation Level-Dependent) signal is fMRI's measure of neural activity. When neurons are active, local oxygen consumption rises, triggering a haemodynamic response: cerebral blood flow increases over the next ~2–6 seconds, supplying more oxygenated haemoglobin than is consumed and transiently increasing the ratio of oxygenated to deoxygenated haemoglobin. Because oxyhaemoglobin and deoxyhaemoglobin have different magnetic properties, this ratio change is detectable as a T2* MRI signal increase. Limitations: (1) Temporal resolution is limited by the slow haemodynamic response. (2) BOLD reflects blood flow, not neural firing directly. (3) Inhibitory and excitatory activity may produce similar BOLD signals. (4) Individual differences in vasculature affect the signal. (5) Requires immobility; claustrophobia-inducing; cannot image ferrous implants.

When should you use EEG/ERP vs fMRI?

Choose EEG/ERP when you need temporal precision — tracking the millisecond-by-millisecond sequence of cognitive processing. ERP components (P100, N200, P300, N400, LPC) index specific cognitive stages with millisecond precision: the N400 peaks at ~400 ms post-stimulus and indexes semantic incongruity; the P300 at ~300–600 ms indexes cognitive updating. EEG is also portable, relatively cheap, and tolerable for special populations (infants, clinical patients). Choose fMRI when you need spatial precision — identifying which brain regions are involved in a process, distinguishing structures 1–3 mm apart. fMRI is indispensable for localising activity to specific cortical areas, subcortical structures, or white matter. Multimodal approaches (simultaneous EEG-fMRI, or combining MEG with fMRI) combine the temporal advantages of electrophysiology with the spatial advantages of MRI.

What is TMS and how is it used in cognitive neuroscience?

TMS (transcranial magnetic stimulation) applies brief, intense magnetic pulses to the scalp via a coil, inducing electrical currents in superficial cortical regions and transiently disrupting their function. Unlike fMRI or EEG, which are purely correlational, TMS can establish causal roles: if disrupting a region impairs performance on a task, that region is necessary for the task — not merely co-activated. Key applications: establishing the timing of cortical contributions (single-pulse TMS during specific task phases); mapping motor cortex and language areas before neurosurgery (navigated TMS); rTMS for therapeutic applications (depression, OCD). TMS is limited to superficial cortex (~2–3 cm depth), has limited spatial precision (~1 cm), and cannot image deep structures. Combined TMS-fMRI can track the downstream effects of disrupting a target region on the broader network.

What can structural MRI tell us that functional imaging cannot?

Structural MRI reveals the anatomy of the brain: the size, shape, and integrity of cortical and subcortical structures; cortical thickness; grey matter volume in specific regions; and white matter integrity (via DTI tractography). Findings from structural MRI include: hippocampal volume reduction in depression and PTSD; cortical thinning in Alzheimer's disease; enlarged ventricles in schizophrenia; and the famous finding by Maguire et al. (2000) that London taxi drivers have enlarged posterior hippocampi correlated with years of navigation experience. Structural differences are stable and do not reflect moment-to-moment processing, whereas functional imaging captures dynamic activity. Voxel-based morphometry (VBM) allows whole-brain comparison of grey matter density across groups or in relation to continuous variables.

Studies & Cases

Related Quizzes

Subjects & Related Concepts

Sources

Last reviewed: 8 August 2026

  1. 1.

    Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences, 87(24), 9868–9872.

    Primary study

    Described the BOLD contrast mechanism — the foundation of functional MRI.

  2. 2.

    Berger, H. (1929). Über das Elektrenkephalogramm des Menschen. Archiv für Psychiatrie und Nervenkrankheiten, 87(1), 527–570.

    Primary study

    First description of human EEG — the foundational paper for electrophysiological brain recording.

  3. 3.

    Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869–878.

    Review article

    Critical review of what fMRI actually measures and the interpretive challenges of the BOLD signal.

  4. 4.

    Pascual-Leone, A., Walsh, V., & Rothwell, J. (2000). Transcranial magnetic stimulation in cognitive neuroscience — virtual lesion, chronometry, and functional connectivity. Current Opinion in Neurobiology, 10(2), 232–237.

    Review article

    Reviews how TMS is used to establish causal roles of brain regions and time cognitive processing.