Human brain mapping of cognitive process using functional neuroimaging techniques and carefully designed experimental protocols

Impact ◽  
2019 ◽  
Vol 2019 (4) ◽  
pp. 35-37
Author(s):  
Motoaki Sugiura
Author(s):  
Shahzadi Malhotra ◽  
Gaurav Rajender

Neuroimaging plays a crucial role in psychiatry and mental health as it can potentially be used to identify causal factors, biomarkers of a disorder, prognosis or treatment, elucidate biological pathways along with informing and monitoring newer therapies. Early and prophylactic interventions present an emerging future direction in clinical psychiatry, and neuroimaging has the potential to help in identification of individuals at risk and monitor the effects of intervention. In the chapter an attempt is made to elaborate the concept of brain mapping, and differences between structural and functional brain imaging are discussed. The chapter focusses on advent of neuroimaging in psychiatry along with discussing the major functional neuroimaging techniques.


2011 ◽  
Vol 33 (5) ◽  
pp. 1107-1123 ◽  
Author(s):  
Anna-Sophia Sarfeld ◽  
Svenja Diekhoff ◽  
Ling E. Wang ◽  
Gianpiero Liuzzi ◽  
Kamil Uludağ ◽  
...  

2006 ◽  
Vol 19 (9) ◽  
pp. 1453-1454
Author(s):  
Rik Vandenberghe

Biofeedback ◽  
2019 ◽  
Vol 47 (4) ◽  
pp. 89-103
Author(s):  
Robert W. Thatcher ◽  
Joel F. Lubar ◽  
J. Lucas Koberda

Human electroencephalogram (EEG) biofeedback (neurofeedback) started in the 1940s using one EEG recording channel, then four channels in the 1990s, and in 2004, expanded to 19 channels using Low Resolution Electromagnetic Tomography (LORETA) of the microampere three-dimensional current sources of the EEG. In 2004–2006 the concept of a real-time comparison of the EEG to a healthy reference database was developed and tested using surface EEG z score neurofeedback based on a statistical bell curve called real-time z scores. The real-time or live normative reference database comparison was developed to help reduce the uncertainty of what threshold to select to activate a feedback signal and to unify all EEG measures to a single value (i.e., the distance from the mean of an age-matched reference sample). In 2009 LORETA z score neurofeedback further increased specificity by targeting brain network hubs referred to as Brodmann areas. A symptom checklist program to help link symptoms to dysregulation of brain networks based on fMRI and positron emission tomography (PET) and neurology was created in 2009. The symptom checklist and National Institutes of Health–based networks linking symptoms to brain networks grew out of the human brain mapping program started in 1990 that continues today. A goal is to increase specificity of EEG biofeedback by targeting brain network hubs and connections between hubs likely linked to the patient's symptoms. Developments first introduced in 2017 provide increased resolution of three-dimensional source localization with 12,700 voxels using swLORETA with the capacity to conduct cerebellar neurofeedback and neurofeedback of subcortical brain hubs such as the thalamus, amygdala, and habenula. Future applications of swLORETA z score neurofeedback represent another example of the transfer of knowledge gained by the human brain mapping initiatives to further aid in helping people with cognition problems as well as balance problems and parkinsonism. A brief review of the past, present, and future predictions of z score neurofeedback are discussed with special emphasis on new developments that point toward a bright and enlightened future in the field of EEG biofeedback.


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