| First Author | Narayanan DP | Year | 2023 |
| Journal | Cereb Cortex | Volume | 33 |
| Issue | 6 | Pages | 3293-3310 |
| PubMed ID | 35834935 | Mgi Jnum | J:340968 |
| Mgi Id | MGI:7446202 | Doi | 10.1093/cercor/bhac275 |
| Citation | Narayanan DP, et al. (2023) Biological constraints on stereotaxic targeting of functionally-defined cortical areas. Cereb Cortex 33(6):3293-3310 |
| abstractText | Understanding computational principles in hierarchically organized sensory systems requires functional parcellation of brain structures and their precise targeting for manipulations. Although brain atlases are widely used to infer area locations in the mouse neocortex, it has been unclear whether stereotaxic coordinates based on standardized brain morphology accurately represent functional domains in individual animals. Here, we used intrinsic signal imaging to evaluate the accuracy of area delineation in the atlas by mapping functionally-identified auditory cortices onto bregma-based stereotaxic coordinates. We found that auditory cortices in the brain atlas correlated poorly with the true complexity of functional area boundaries. Inter-animal variability in functional area locations predicted surprisingly high error rates in stereotaxic targeting with atlas coordinates. This variability was not simply attributed to brain sizes or suture irregularities but instead reflected differences in cortical geography across animals. Our data thus indicate that functional mapping in individual animals is essential for dissecting cortical area-specific roles with high precision. |
