Literature DB >> 22617657

A rigorous approach for testing the constructionist hypotheses of brain function.

Gopikrishna Deshpande1, K Sathian, Xiaoping Hu, Joseph A Buckhalt.   

Abstract

Although the target article provides strong evidence against the locationist view, evidence for the constructionist view is inconclusive, because co-activation of brain regions does not necessarily imply connectivity between them. We propose a rigorous approach wherein connectivity between co-activated regions is first modeled using exploratory Granger causality, and then confirmed using dynamic causal modeling or Bayesian modeling.

Mesh:

Year:  2012        PMID: 22617657     DOI: 10.1017/S0140525X1100149X

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  7 in total

1.  Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma.

Authors:  D Rangaprakash; Michael N Dretsch; Archana Venkataraman; Jeffrey S Katz; Thomas S Denney; Gopikrishna Deshpande
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

2.  Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity.

Authors:  M D Wheelock; K R Sreenivasan; K H Wood; L W Ver Hoef; Gopikrishna Deshpande; D C Knight
Journal:  Neuroimage       Date:  2014-08-08       Impact factor: 6.556

3.  Effective connectivity during episodic memory retrieval in schizophrenia participants before and after antipsychotic medication.

Authors:  Nathan L Hutcheson; Karthik R Sreenivasan; Gopikrishna Deshpande; Meredith A Reid; Jennifer Hadley; David M White; Lawrence Ver Hoef; Adrienne C Lahti
Journal:  Hum Brain Mapp       Date:  2014-12-11       Impact factor: 5.038

4.  Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-Evoked Sub-100 ms Timing Differences from fMRI.

Authors:  Yunzhi Wang; Santosh Katwal; Baxter Rogers; John Gore; Gopikrishna Deshpande
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-07-20       Impact factor: 3.802

5.  Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study.

Authors:  Kimberly Goodyear; Raja Parasuraman; Sergey Chernyak; Poornima Madhavan; Gopikrishna Deshpande; Frank Krueger
Journal:  Front Hum Neurosci       Date:  2016-11-04       Impact factor: 3.169

6.  Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning.

Authors:  Xinyu Zhao; D Rangaprakash; Bowen Yuan; Thomas S Denney; Jeffrey S Katz; Michael N Dretsch; Gopikrishna Deshpande
Journal:  Front Appl Math Stat       Date:  2018-09-25

7.  Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI.

Authors:  Sinan Zhao; D Rangaprakash; Archana Venkataraman; Peipeng Liang; Gopikrishna Deshpande
Journal:  Front Aging Neurosci       Date:  2017-07-06       Impact factor: 5.750

  7 in total

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