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Proc. Natl. Acad. Sci. USA, Dec 17 2024, 121 (51) | https://doi.org/10.1073/pnas.2415695121
Hierarchical gradients of multiple timescales in the mammalian forebrain
Min Songa,1, Eun Ju Shinb,c,1, Hyojung Seod, Alireza Soltanie, Nicholas A. Steinmetzf, Daeyeol Leeg,h,i,j,2, Min Whan Jungb,c,2, and Se-Bum Paikk,2
aDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
bDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
cCenter for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon 34141, Republic of Korea
dDepartment of Psychiatry, Yale University, New Haven, CT 06520
eDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755
fDepartment of Neurobiology and Biophysics, University of Washington, Seattle, WA 98195
gZanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218
hKavli Discovery Neuroscience Institute, Johns Hopkins University, Baltimore, MD 21218
iDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218
jDepartment of Neuroscience, Johns Hopkins University, Baltimore, MD 21218
kDepartment of Brain and Cognitive Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
1M.S. and E.J.S. contributed equally to this work.
2To whom correspondence may be addressed.
aDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
bDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
cCenter for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon 34141, Republic of Korea
dDepartment of Psychiatry, Yale University, New Haven, CT 06520
eDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755
fDepartment of Neurobiology and Biophysics, University of Washington, Seattle, WA 98195
gZanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218
hKavli Discovery Neuroscience Institute, Johns Hopkins University, Baltimore, MD 21218
iDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218
jDepartment of Neuroscience, Johns Hopkins University, Baltimore, MD 21218
kDepartment of Brain and Cognitive Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
1M.S. and E.J.S. contributed equally to this work.
2To whom correspondence may be addressed.
Abstract
Many anatomical and physiological features of cortical circuits, ranging from the biophysical properties of synapses to the connectivity patterns among different neuron types, exhibit consistent variation along the hierarchical axis from sensory to association areas. Notably, the temporal correlation of neural activity at rest, known as the intrinsic timescale, increases systematically along this hierarchy in both primates and rodents, analogous to the increasing scale and complexity of spatial receptive fields. However, how the timescales for task-related activity vary across brain regions and whether their hierarchical organization appears consistently across different mammalian species remain unexplored. Here, we show that both the intrinsic timescale and those of task-related activity follow a similar hierarchical gradient in the cortices of monkeys, rats, and mice. We also found that these timescales covary similarly in both the cortex and basal ganglia, whereas the timescales of thalamic activity are shorter than cortical timescales and do not conform to the hierarchical order predicted by their cortical projections. These results suggest that the hierarchical gradient of cortical timescales might represent a universal feature of intracortical circuits in the mammalian brain.
논문정보
- Research article
- 2024년 12월 (BRIC 등록일 2024-12-16)
- 국내(교신)+국외 연구진
- 생명과학 > 신경생물학
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