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A tutorial and open-source software to aid in reproducible disease pattern detection using principal component analysis.

Movement planning elicits finger-specific activity in primary somatosensory cortex that is strongly correlated to the finger-specific activity elicited during movement execution.

Task representations emerge rapidly throughout human cortex, with parallel object representations in occipitotemporal cortex that are increasingly dominated by task in higher visual areas.

Signals recorded directly from human anterior temporal cortex reveal that the brain represents animacy information using a distributed code that changes radically as a stimulus is processed, as predicted by an artificial neural network model.

Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.

Both hand and face representations remain relatively stable after arm amputation in adulthood, with no link to phantom limb pain, whereas pre-natal limb loss triggers complex patterns of remapping that do not relate to cortical topography.

Graph analysis revealed that spontaneous fluctuations of episodic-memory encoding performance associate with time-varying brain connectivity networks.

Detailed analysis of fMRI data shows that sequences of movements are associated with individual patterns of neural activity that become more distinct with training.

Data-driven and effective connectivity analyses reveal patterns of functional specialization, common mechanisms, and brain-wide interaction profiles within the human inferior parietal lobes for multiple functional domains.

Reducing visibility with higher image presentation rates increases recurrent processing demands along the visual processing pathway to resolve object recognition.