Database Comparisons: Age effects. EEG age effects by hemisphere.

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Presentation transcript:

Database Comparisons: Age effects

EEG age effects by hemisphere

Dominant (“alpha”) rhythm Normal EEG pre-school to Adolescence Occipital rhythm 3-4 Hz activity at 3-4 months of age –responds to stimulation at 5-6 mo. At 6 mo, typically 5-6 Hz At 1 year, 6-7 Hz. Frequency range increases as child ages. Typical 10y old averages about 10 Hz.

Dominant frequencies during infancy

Othmer clinic data

Normal Child has theta rhythm, maximal in posterior sites

Normal Adult has 8-12 Hz rhythm, maximal in posterior sites

Posterior sites

Neurometic Analysis (Comparing someone to a QEEG Database to identify statistical abnormality, commonly > 2 Std deviations, plus or minus) Baseline conditions –Eyes closed –Eyes open –Motor control –Stimulus control Task conditions or challenge conditions –Problem solving –Performance

Eyes closed replications support macrostate concept (however…)

Correct for state transitions Stabilize state before recording, and include stabilization in database! Look at the data More is better (Some db use 30 s only)

Client comparison requires similar recording methodology

Criticisms of Neurometrics Color maps are deceptive 1 Too many statistical tests (inflating Type I errors) Some normals appear abnormal to controls Overly sensitive to artifact More removed from the data, the more errors that can creep in –E.g., unreliable discriminant functions Methodology differences between client and database recordings Artifact management differences Normative database not representative 2 Differences in basic parameters (power/magn), coherence calculation Not ready for prime time …if misused!

Brain maps can be deceptive ….. Some activation needed at left medial temporal site or right occipitoparietal juncture?

But they are convincing, concise, and accessible to laypersons

5 Neurometric databases in common use for Neurotherapy “My kid acting like an astronaut” story

Deciphering Neural coding We transform from time to frequency because we believe mental or psychophysiological phenomena are best captured by latter domain

Brainwave frequencies and tentative mental correspondences – 4 Hz DELTASleep 4-7 Hz THETAInward focus, distracted, daydream 8-12 Hz ALPHARelaxed, not actively processing Hz SMRRelaxed, external attention (low beta) Hz BETA Active external attention Hz HIGH High correlation with anxiety, BETAintensity, or lots of muscle tension.

Alpha = activation or arousal

Activation is inversely proportional to alpha activity incidence To some extent, regardless of topography

10-10 International System of Electrode Placement

Preferential site activation depends on the condition Moving joystick ^ Watching movie 

Topographic Activation Patterns

Laterality differences “Everyone is a left-brainers until films make them integrationalists”

Gender differences

Cerebral Organization Variation (and obstacles to neurometric assessment) Trait and State variables –TRAIT Gender Handedness Age Education Experience Neurological present/history Bilingual Diagnosis! –STATE Task competence –practice Task strategies Time of Day Drugs Sleep debt

Be aware of the plasticity spectrum – people change

Inclusion/Exclusion criteria for normals

Other factors

Jared’s spindles

Measurement parameters Relative vs Absolute –Power/magnitude Connectivity or linear dependency –Asymmetry –Coherence, comodulation

Synchrony measures between two signals

Coherence

Coherence Database

Comodulation (Functional grouping in dominant frequency activity)

Consistency or stationarity of amplitudes between two signals in frequency band

MVA or Youthful

LORETA Low resolution EEG tomographical array (source imaging of maximal smoothness)

Current EEG Applications CLINICAL Epilepsy (1930s) Sleep (1940s) Patient monitoring, anaesthesia Head injury assessment Neurological assessment (AEP, ERP) Neurotherapy Psychiatric assessment

Current EEG Applications SCIENTIFIC Attention Workload Circadian rhythms Cognition Learning & Memory Neuroimaging co-registration

Future EEG Assessment Subtype clinical conditions Monitor attentional state Lie Detection Parole disposition