Nature Search

Author Correction: Simultaneous cortex-wide fluorescence Ca²⁺ imaging and whole-brain fMRI

Evelyn M. R. Lake
Xinxin Ge
R. Todd Constable
Amendments and Corrections23 Jun 2021
Nature Methods

Volume: 18, P: 835
Effects of the Brain-Derived Neurotrophic Growth Factor Val66Met Variation on Hippocampus Morphology in Bipolar Disorder

Lara G Chepenik
Carolyn Fredericks
Hilary P Blumberg
Research13 Aug 2008
Neuropsychopharmacology

Volume: 34, P: 944-951
Mapping the structure-function relationship along macroscale gradients in the human brain

Collins et al. bridge neuroscience and natural language to describe how the structure-function relationship varies by specific region and function in the human brain, offering insight into the diversity and evolution of neural network properties.

Evan Collins
Omar Chishti
Hitten P. Zaveri
ResearchOpen Access16 Aug 2024
Nature Communications

Volume: 15, P: 1-15
Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization

The relationship between fMRI-BOLD and neural activity in the brain is not well understood. Here, the authors combine calcium imaging and fMRI in the mouse brain to compare network organization derived from these imaging modalities.

Hadi Vafaii
Francesca Mandino
Luiz Pessoa
ResearchOpen Access03 Jan 2024
Nature Communications

Volume: 15, P: 1-19
Simultaneous cortex-wide fluorescence Ca²⁺ imaging and whole-brain fMRI

Simultaneous widefield calcium imaging and fMRI provide insight into neural activity at multiple scales and can be used to decipher the cellular origin of BOLD activity.

Evelyn M. R. Lake
Xinxin Ge
R. Todd Constable
Research02 Nov 2020
Nature Methods

Volume: 17, P: 1262-1271
A neuromarker of sustained attention from whole-brain functional connectivity

Although attentional abilities vary widely and have profound everyday effects, a standardized measure of these abilities is lacking. This study introduces a new fMRI measure based on patterns of whole-brain connectivity, which predicts adults' attention performance and children's ADHD symptoms from data acquired while individuals are resting in the scanner.

Monica D Rosenberg
Emily S Finn
Marvin M Chun
Research23 Nov 2015
Nature Neuroscience

Volume: 19, P: 165-171
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

This study shows that every individual has a unique pattern of functional connections between brain regions. This functional connectivity profile acts as a ‘fingerprint’ that can accurately identify the individual from a large group. Furthermore, an individual's connectivity profile can predict his or her level of fluid intelligence.

Emily S Finn
Xilin Shen
R Todd Constable
Research12 Oct 2015
Nature Neuroscience

Volume: 18, P: 1664-1671
Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size

In a ferret model, the microcephaly-associated gene Aspm regulates cortical expansion by controlling the transition of ventricular radial glial cells to more differentiated cell types.

Matthew B. Johnson
Xingshen Sun
Byoung-Il Bae
Research11 Apr 2018
Nature

Volume: 556, P: 370-375
Multimodal identification of the mouse brain using simultaneous Ca²⁺ imaging and fMRI

Using simultaneously acquired wide-field fluorescence calcium imaging and BOLD-fMRI, subject-specific signatures are observable in the mouse connectome, with stronger individual specific patterns evident in the calcium data.

Francesca Mandino
Corey Horien
Evelyn M. R. Lake
ResearchOpen Access26 Apr 2025
Communications Biology

Volume: 8, P: 1-14
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator

Francesca Mandino
Xilin Shen
Evelyn M. R. Lake
ResearchOpen Access18 Oct 2024
Molecular Psychiatry

Volume: 30, P: 1730-1745
High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter

Hari McGrath
Hitten P. Zaveri
Dennis D. Spencer
ResearchOpen Access05 Nov 2022
Scientific Reports

Volume: 12, P: 1-11
Using connectome-based predictive modeling to predict individual behavior from brain connectivity

This protocol describes how to develop linear models to predict individual behavior from brain connectivity data with proper cross-validation, and how to use an online tool to visualize the most predictive features of the models.

Xilin Shen
Emily S Finn
R Todd Constable
Protocols09 Feb 2017
Nature Protocols

Volume: 12, P: 506-518

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Author Correction: Simultaneous cortex-wide fluorescence Ca²⁺ imaging and whole-brain fMRI

Effects of the Brain-Derived Neurotrophic Growth Factor Val66Met Variation on Hippocampus Morphology in Bipolar Disorder

Mapping the structure-function relationship along macroscale gradients in the human brain

Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization

Simultaneous cortex-wide fluorescence Ca²⁺ imaging and whole-brain fMRI

A neuromarker of sustained attention from whole-brain functional connectivity

Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size

Multimodal identification of the mouse brain using simultaneous Ca²⁺ imaging and fMRI

Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator

High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter

Using connectome-based predictive modeling to predict individual behavior from brain connectivity

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