@article{142761, keywords = {Humans, Nerve Net, Temporal Lobe, Models, Neurological, Brain Mapping, Attention, Cognition, Magnetic Resonance Imaging, Parietal Lobe}, author = {Kajsa Igelstr{\"o}m and Michael SA Graziano}, title = {The inferior parietal lobule and temporoparietal junction: A network perspective}, abstract = { Information processing in specialized, spatially distributed brain networks underlies the diversity and complexity of our cognitive and behavioral repertoire. Networks converge at a small number of hubs - highly connected regions that are central for multimodal integration and higher-order cognition. We review one major network hub of the human brain: the inferior parietal lobule and the overlapping temporoparietal junction (IPL/TPJ). The IPL is greatly expanded in humans compared to other primates and matures late in human development, consistent with its importance in higher-order functions. Evidence from neuroimaging studies suggests that the IPL/TPJ participates in a broad range of behaviors and functions, from bottom-up perception to cognitive capacities that are uniquely human. The organization of the IPL/TPJ is challenging to study due to the complex anatomy and high inter-individual variability of this cortical region. In this review we aimed to synthesize findings from anatomical and functional studies of the IPL/TPJ that used neuroimaging at rest and during a wide range of tasks. The first half of the review describes subdivisions of the IPL/TPJ identified using cytoarchitectonics, resting-state functional connectivity analysis and structural connectivity methods. The second half of the article reviews IPL/TPJ activations and network participation in bottom-up attention, lower-order self-perception, undirected thinking, episodic memory and social cognition. The central theme of this review is to discuss how network nodes within the IPL/TPJ are organized and how they participate in human perception and cognition. }, year = {2017}, journal = {Neuropsychologia}, volume = {105}, pages = {70-83}, issn = {1873-3514}, url = {https://www.sciencedirect.com/science/article/pii/S0028393217300015?via\%3Dihub}, doi = {10.1016/j.neuropsychologia.2017.01.001}, language = {eng}, }