TY  - JOUR
AU  - Paquola, Casey
AU  - Amunts, Katrin
AU  - Evans, Alan
AU  - Smallwood, Jonathan
AU  - Bernhardt, Boris
TI  - Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks
JO  - Trends in cognitive sciences
VL  - 26
IS  - 10
SN  - 1364-6613
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2022-03258
SP  - 873-886
PY  - 2022
AB  - Cognitive neuroscience aims to provide biologically relevant accounts of cognition. Contemporary research linking spatial patterns of neural activity to psychological constructs describes 'where' hypothesised functions occur, but not 'how' these regions contribute to cognition. Technological, empirical, and conceptual advances allow this mechanistic gap to be closed by embedding patterns of functional activity in macro- and microscale descriptions of brain organisation. Recent work on the default mode network (DMN) and the multiple demand network (MDN), for example, highlights a microarchitectural landscape that may explain how activity in these networks integrates varied information, thus providing an anatomical foundation that will help to explain how these networks contribute to many different cognitive states. This perspective highlights emerging insights into how microarchitecture can constrain network accounts of human cognition
LB  - PUB:(DE-HGF)16
C6  - 35909021
UR  - <Go to ISI:>//WOS:000864585600009
DO  - DOI:10.1016/j.tics.2022.07.001
UR  - https://juser.fz-juelich.de/record/909576
ER  -