CClinicalTrials.gg
TerminatedNCT03268694Updated Jan 13, 2020

Investigation of Oscillations Underlying Human Cognitive and Affective Processing Using Intracranial EEG

An interventional study of Working Memory Task and Reward Learning Task in Working Memory and Emotions, sponsored by University of North Carolina, Chapel Hill. Terminated at 1 site in United States. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2020-01-13.

Sponsored by University of North Carolina, Chapel Hill · Not applicable, Interventional, and Basic science

Why this study was terminated
Competition with other ongoing projects with this population.
Phase
Not applicable
Study type
Interventional
Enrollment
4
Allocation
Not applicable
Ages
18 Years to 80 Years
Sex
All
01

Study summary

Purpose: To investigate the electrophysiological correlates of human cognition and affective processing. Participants: Drug-resistant epilepsy patients undergoing epilepsy surgery cortical mapping with continuous electrocorticography (ECoG) with intracranial electrodes. Procedures (methods): Participants will perform computer-based cognitive and affective processing tasks during routine long-term monitoring. Intracranial EEG will be collected during the task

Read the detailed description

Oscillations in different frequency bands like theta, alpha, beta, gamma and high gamma are thought to underlie processing of cognitive and emotional information. For example, theta (3 - 7 Hz) and alpha (8 - 12 Hz) oscillations are known to underlie working memory as well as attentional processing. Theta oscillations are known to differentiate emotional and neutral stimuli while gamma oscillations (30 - 50 Hz) are known to underlie rapid integration of information. The fact that these oscillations are also disrupted in neuropsychiatric disorders underline the importance of these oscillations.

A lot of our understanding of these oscillations come from non invasive methods in humans like electroencephalography (EEG), magnetoencephalography (MEG) and invasive methods in animal models. However, EEG and MEG measure oscillations that are generated by collective firing of large cortical patches thereby losing spatial resolution. Also activity from deeper structures like amygdala and hippocampus cannot be picked up in these modalities. Animal models often suffer from the poor translation of behavior from animals to humans and vice versa. Intracranial EEG or Electrocorticography (ECoG) helps overcome the drawbacks described above.

Studies using ECoG have become widespread and have been helpful in elucidating the functional roles of different brain regions in cognition and emotion. The investigators aim to utilize these established procedures to study the role of oscillations recorded from different brain regions in cognition and emotion.

Patients with medically refractory epilepsy undergo long-term invasive monitoring for surgical resection planning. Electrodes are implanted subdurally over seizure focus to identify seizure onset zone and patients are often in the epilepsy monitoring unit at the Neuroscience hospital for approximately a week. During this period, intracranial EEG is constantly acquired for clinical investigation. The investigators plan to recruit these patients while they undergo long-term monitoring to leverage the rare access to direct brain recordings and study the role of oscillations in cognitive and affective processing. Patients who provide informed consent to participate in the study will perform computer based cognitive and emotional processing tasks.

02

Conditions studied

  • Working Memory
  • Emotions
03

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  1. History of medically intractable epilepsy
  2. Capable of giving informed consent
  3. Aged 18 - 80 years, either sex

Exclusion criteria

Exclusion Criteria:

  1. Major systemic illness
  2. Severe cognitive impairment defined as mini-mental state examination of less than 20
  3. Severe psychiatric illness
  4. Excessive use of alcohol or other substances
04

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
4 participants (actual)

Study arms

  • Experimental
    Cognitive and Emotion Processing Tasks

    As a part of the clinical monitoring, intracranial EEG is continuously collected when the participant is at the Epilepsy Monitoring Unit at the UNC Neuroscience Hospital. We will use an FDA approved EEG amplifier/data acquisition system to collect the research data. Computer-based tasks will be presented through a laptop and task related timing information will be transmitted from the laptop to the data acquisition system. Computer-based tasks will include Working Memory task, Reward Learning Task and Facial Emotion Recognition Task

    Behavioral: Working Memory Task · Behavioral: Reward Learning Task · Behavioral: Facial Emotion Recognition Task

Interventions

  • BehavioralWorking Memory Task

    Sternberg Task Items, which can be visually presented alphabets, shapes or numbers or sound tones presented through speakers, will be presented to the participant. The participant will need to maintain the presented items in their memory and indicate, when a single probe item is presented, whether the probe item was present in the immediately preceding list by pressing a key on the keyboard. N-Back Task Items are presented continuously sequentially and participants are instructed to indicate whether items are repeated n items before by pressing a key on the keyboard. The task is divided into blocks of 0,1,2,3 -back trials based on the 'n'. For example in the 2 - back task, the participant has to indicate if the item presented 2 items before matches the current item. Similar to the previous task, the items can be presented visually or auditorily.

    Also known as: Sternberg Task, N-Back Task

  • BehavioralReward Learning Task

    Two abstract visual stimuli are presented on the screen and participant is asked to choose one. Unknown to the participant, each stimulus is associated with distinct probabilities of virtual reward such that one stimulus is associated with net gain while the other is associated with net loss. The participant's goal is to maximize the reward. Once the participant identifies the stimulus associated with net gain, the reward probabilities are reversed. This process is repeated 5 times.

    Also known as: Learning reversal task

  • BehavioralFacial Emotion Recognition Task

    On a given trial, participants will be presented with images of two faces side-by-side. The faces will either match in terms of emotion category (e.g., 2 anger faces) or not (e.g., an anger face and a fear face). Faces presented together will always be of the same gender but different identities. Participants will be asked to determine whether the two faces presented depict the same emotion category.

05

What researchers measure

Primary outcomes

  1. Intracranial EEG Spectra Power

    Spectral analysis of electrophysiology data will be performed using multi-taper fft and wavelet transforms. The measures will be compared between different epochs within the tasks to determine what oscillations are modulated by the task. The correlation between the measures described above and the task performance will also be estimated.

    Time frame: Intracranial EEG will be collected simultaneously when the participants perform the task. 1 Hour

Secondary outcomes

  1. Task Performance: Reaction Times

    For all the tasks described above, the time from when the response is prompted and when the response is obtained is collected as reaction time. Reaction time is measured in milliseconds.

    Time frame: 1 Hour

  2. Intracranial EEG Functional Connectivity Analysis

    Functional connectivity between the different electrodes will be measured using phase locking value and Granger causality.

    Time frame: Intracranial EEG will be collected simultaneously when the participants perform the task. 1 Hour

06

Study locations

1 site
  • University of North Carolina at Chapel Hill
    Chapel Hill, North Carolina 27599, United States
07

References and documents

Publications

  • Hsieh LT, Ranganath C. Frontal midline theta oscillations during working memory maintenance and episodic encoding and retrieval. Neuroimage. 2014 Jan 15;85 Pt 2(0 2):721-9. doi: 10.1016/j.neuroimage.2013.08.003. Epub 2013 Aug 8. PubMed 23933041 ↗
  • Klimesch W. alpha-band oscillations, attention, and controlled access to stored information. Trends Cogn Sci. 2012 Dec;16(12):606-17. doi: 10.1016/j.tics.2012.10.007. Epub 2012 Nov 7. PubMed 23141428 ↗
  • Sauseng P, Klimesch W, Heise KF, Gruber WR, Holz E, Karim AA, Glennon M, Gerloff C, Birbaumer N, Hummel FC. Brain oscillatory substrates of visual short-term memory capacity. Curr Biol. 2009 Nov 17;19(21):1846-52. doi: 10.1016/j.cub.2009.08.062. PubMed 19913428 ↗
  • Symons AE, El-Deredy W, Schwartze M, Kotz SA. The Functional Role of Neural Oscillations in Non-Verbal Emotional Communication. Front Hum Neurosci. 2016 May 25;10:239. doi: 10.3389/fnhum.2016.00239. eCollection 2016. PubMed 27252638 ↗
  • Bonnefond M, Jensen O. Alpha oscillations serve to protect working memory maintenance against anticipated distracters. Curr Biol. 2012 Oct 23;22(20):1969-74. doi: 10.1016/j.cub.2012.08.029. Epub 2012 Oct 4. PubMed 23041197 ↗
  • Khader PH, Jost K, Ranganath C, Rosler F. Theta and alpha oscillations during working-memory maintenance predict successful long-term memory encoding. Neurosci Lett. 2010 Jan 14;468(3):339-43. doi: 10.1016/j.neulet.2009.11.028. Epub 2009 Nov 14. PubMed 19922772 ↗
  • Miller EK, Buschman TJ. Cortical circuits for the control of attention. Curr Opin Neurobiol. 2013 Apr;23(2):216-22. doi: 10.1016/j.conb.2012.11.011. Epub 2012 Dec 22. PubMed 23265963 ↗
  • Bastos AM, Vezoli J, Bosman CA, Schoffelen JM, Oostenveld R, Dowdall JR, De Weerd P, Kennedy H, Fries P. Visual areas exert feedforward and feedback influences through distinct frequency channels. Neuron. 2015 Jan 21;85(2):390-401. doi: 10.1016/j.neuron.2014.12.018. Epub 2014 Dec 31. PubMed 25556836 ↗
  • Jacobs J, Kahana MJ. Direct brain recordings fuel advances in cognitive electrophysiology. Trends Cogn Sci. 2010 Apr;14(4):162-71. doi: 10.1016/j.tics.2010.01.005. Epub 2010 Feb 25. PubMed 20189441 ↗
  • Mendez-Bertolo C, Moratti S, Toledano R, Lopez-Sosa F, Martinez-Alvarez R, Mah YH, Vuilleumier P, Gil-Nagel A, Strange BA. A fast pathway for fear in human amygdala. Nat Neurosci. 2016 Aug;19(8):1041-9. doi: 10.1038/nn.4324. Epub 2016 Jun 13. PubMed 27294508 ↗
  • Huijgen J, Dinkelacker V, Lachat F, Yahia-Cherif L, El Karoui I, Lemarechal JD, Adam C, Hugueville L, George N. Amygdala processing of social cues from faces: an intracrebral EEG study. Soc Cogn Affect Neurosci. 2015 Nov;10(11):1568-76. doi: 10.1093/scan/nsv048. Epub 2015 May 11. PubMed 25964498 ↗
  • Murray RJ, Brosch T, Sander D. The functional profile of the human amygdala in affective processing: insights from intracranial recordings. Cortex. 2014 Nov;60:10-33. doi: 10.1016/j.cortex.2014.06.010. Epub 2014 Jun 19. PubMed 25043736 ↗
08

Registry details

Key details

Study ID
NCT03268694
Lead sponsor
University of North Carolina, Chapel Hill
Collaborators
National Institute of Neurological Disorders and Stroke (NINDS)
Responsible party
Sponsor
First posted
Aug 31, 2017
Start date
Aug 7, 2017
Primary completion
Jul 29, 2018
Completion
Jul 29, 2018
Last update
Jan 13, 2020

Study contacts

Flavio Frohlich, PhD
principal investigator · University of North Carolina, Chapel Hill
Hae Won Shin, MD
principal investigator · University of North Carolina, Chapel Hill

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is terminated, as verified in Jan 2020. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion