TY - JOUR
T1 - Strengthening derivation chains in cognitive neuroscience
T2 - Closing editorial
AU - Mirman, Daniel
AU - Scheel, Anne
AU - Schubert, Anna Lena
AU - McIntosh, Robert D.
N1 - CRediT authorship contribution statement
Daniel Mirman: Conceptualization, Writing – original draft, Writing – review & editing. Anne Scheel: Conceptualization, Writing – original draft, Writing – review & editing. Anna-Lena Schubert: Conceptualization, Writing – original draft, Writing – review & editing. Robert D. McIntosh: Conceptualization, Writing – original draft, Writing – review & editin
PY - 2024/6
Y1 - 2024/6
N2 - This volume of Cortex sees the publication of the last three of the nine articles forming the special issue, Strengthening Derivation Chains in Cognitive Neuroscience ( Mirman et al., 2022 ). Our goal in proposing this topic was to encourage and collect exemplars of rigorous work that lays and strengthens the foundations of research in cognitive neuroscience, from the conceptual entities studied, to the tools and measures to operationalise them and the pipelines through which we process the data. These are core elements of the “derivation chains” that connect abstract scientific claims to concrete observations and thus underpin higher-level hypothesis tests ( Meehl, 1990 ; Scheel et al., 2021 ). The validity of any hypothesis test (and indeed any inference to abstract claims from data) depends upon the integrity of its derivation chain, and so we need to ensure that the constituent links are secure.
AB - This volume of Cortex sees the publication of the last three of the nine articles forming the special issue, Strengthening Derivation Chains in Cognitive Neuroscience ( Mirman et al., 2022 ). Our goal in proposing this topic was to encourage and collect exemplars of rigorous work that lays and strengthens the foundations of research in cognitive neuroscience, from the conceptual entities studied, to the tools and measures to operationalise them and the pipelines through which we process the data. These are core elements of the “derivation chains” that connect abstract scientific claims to concrete observations and thus underpin higher-level hypothesis tests ( Meehl, 1990 ; Scheel et al., 2021 ). The validity of any hypothesis test (and indeed any inference to abstract claims from data) depends upon the integrity of its derivation chain, and so we need to ensure that the constituent links are secure.
U2 - 10.1016/j.cortex.2024.04.004
DO - 10.1016/j.cortex.2024.04.004
M3 - Editorial
AN - SCOPUS:85192147382
SN - 0010-9452
VL - 175
SP - A1-A4
JO - Cortex
JF - Cortex
ER -