SlideShare a Scribd company logo
1 of 1
Download to read offline
Testing the “PACT” Strategy: Amphetamine Enhances Gains in Auditory Discrimination Training in Adult Schizophrenia Patients
Neal R. Swerdlow1, Melissa Tarasenko1,2, Savita G. Bhakta1, Jo Talledo1,Erica L. Hughes1, Alexis I. Alvarez1, Brinda Rana1, Sophia Vinogradov3, Gregory A. Light1,2
1UC San Diego Dept. Psychiatry; 2VISN-22 MIRECC, VA San Diego Healthcare System; 3UC San Francisco Dept. Psychiatry
Abstract
References
DiscussionMethods
Conflicts of Interest
Introduction
Results
Background An intensive program of computerized targeted cognitive training (TCT) of auditory
processing and auditory working memory appears to drive improvements in higher-order cognition in
schizophrenia (SZ) patients. Potentially, such therapeutic effects might be facilitated pharmacologically,
via drugs that enhance attention, sensory processing and/or working memory processes that are taxed
by the training. If this “pharmacologically augmented cognitive therapy” (“PACT”) strategy is successful,
it might be possible to augment and accelerate the clinical benefits of TCT in SZ patients. Because
gains in auditory psychophysical efficiency can be detected after a single one-hour session of training, it
is possible to use a placebo (PBO)-controlled single dose cross-over design to assess drug effects on
training response. We assessed the effects of the pro-attentional drug, d-amphetamine (AMPH; 10 mg
po), on one hour of auditory TCT in SZ patients and healthy subjects (HS).
Methods Carefully screened and characterized HS and patients with a diagnosis of SZ participated in
this study; this sample included only individuals homozygous (AA or GG) at the rs4680 SNP for COMT.
Subjects were tested three times with 1 week between tests: first in a screening session (no pill
administered), and next in a double-blind order-balanced crossover design (test days 2 and 3),
comparing PBO vs. 10 mg of AMPH. On each test day, 1 hour of Posit Science “Sound Sweeps” training
was bracketed by brief (2-4 min) pre- and post-training assessments of auditory processing speed
(APS). Training consisted of a speeded auditory time-order judgment task of two successive frequency
modulation (FM) sweeps. On test days 2 and 3, pre-training assessments began 210 min post-pill
administration, when 10 mg AMPH is known to be bioactive. Autonomic and subjective measures were
collected throughout test days 2 and 3. All test days also included measures of neurocognition and
sensorimotor gating, reported separately.
Results AMPH was bioactive, enhancing autonomic function as well as subjective measures of
alertness in HS. Baseline (screening and pre-training) performance (APS, trials completed) was
impaired in SZ patients vs. HS (all p’s<0.02–0.0001). Auditory system “learning” (APS post- vs. pre-
training) was enhanced by AMPH, and this effect was relatively comparable in HS and patients (main
effect of diagnosis: ns; main effect of AMPH: p<0.035; diagnosis x drug interaction: p<0.085; effect of
AMPH in patients: d=0.40; main effect of AMPH in HS: d=0.27. Independent of diagnosis, AMPH effects
on auditory system “learning” tended to be greater among rs4680 AA vs. GG subjects (p<0.02); learning
achieved statistical significance only among AA (p<0.002) but not GG subjects (ns).
Conclusions We demonstrate that a low dose of the pro-attentional drug, AMPH, enhances auditory
discrimination learning in SZ patients. This effect may not be unique to SZ: a weaker but similar effect in
HS supports the notion that AMPH’s benefits in SZ patients reflect an enhancement of intact brain
mechanisms, in the service of the attentional demands of training. Identifying patients most sensitive to
such drug effects via biomarkers is an important part of the “PACT” strategy, and the present findings
provide tentative evidence that AMPH effects on auditory discrimination learning may be most
pronounced among individuals homozygous for methionine at the rs4680 SNP. It is important to note
that we do not yet know whether the behavioral improvement (i.e. gains in APS) observed in SZ patients
after a single session of auditory discrimination training predicts clinical benefits after an entire course of
30-50 hours of auditory system exercises. However, if such benefits are demonstrated, and AMPH can
enhance the therapeutic effects of training, then this “PACT” approach could represent a transformative
treatment paradigm for SZ.
GAL has served as a consultant for Astellas, Forum Pharmaceuticals, Boehringer Ingelheim and
Neuroverse. SV serves as a site PI on an SBIR grant to Positscience.
Neurocognitive deficits contribute strongly to functional disability
in chronic psychotic disorders, including schizophrenia (SZ). While
antipsychotics can blunt the most severe acute psychotic symptoms,
they are generally ineffective in treating negative symptoms or
neurocognitive deficits. Efforts at remediating cognitive deficits using
computerized targeted cognitive training (TCT) have generally shown
a modest degree of efficacy at the group level, yet almost half of all
SZ patients demonstrate virtually no cognitive enhancement after
undergoing a therapeutic dose (e.g. 40 hours) of TCT. For patients
and clinicians, the costs associated with these time- and resource-
intensive interventions can be prohibitive.
An area of active research – and the topic of a 2012 ACNP Panel - is
the development of Pharmacologically Augmented Cognitive
Therapies (“PACTs”) for SZ: can drugs with pro-cognitive effects will
specifically, and perhaps synergistically, augment the clinical benefits
of cognitive therapies such as TCT? A "proof of concept" for this
approach is found in the use of pro-extinction drugs to selectively
enhance the therapeutic impact of cognitive therapies for anxiety
disorders. We hypothesize that in the context of TCT for SZ, pro-
cognitive agents will be particularly effective in enhancing function in
subgroups of patients with specific neurobiological and/or genetic
characteristics. This study tested the hypothesis that the pro-
attention drug, d-amphetamine (AMPH), will enhance performance of
a TCT task – Posit Science “Sound Sweeps” – which is known to
enhance neurocognition in groups of SZ patients. Such an
observation would establish a clear rationale for predicting enhanced
therapeutic effects of a PACT paradigm in which AMPH is paired with
TCT.
Paid participants (N’s: HS = 20; SZ = 15) were carefully screened to establish appropriate diagnoses and rule out potential exclusionary conditions (pregnancy, current substance abuse, significant medical illness, seizure history, open head injury or closed head
injury with loss of consciousness >1 min, known hearing or visual impairment). Screening and 2 test sessions were conducted 5-10 days apart. Alleles in rs4680 were identified from saliva prior to screening via a restriction fragment length polymorphism after
PCR amplification. All SZ subjects had been maintained on stable AP doses for > 1 month. Testing included measures of acoustic startle and prepulse inhibition, as well as measures of neurocognition (MATRICS Consensus Neurocognitive Battery; MCCB) and
TCT performance.
Targeted Cognitive Training (TCT) (PositScience; brainhq.com) is a computerized cognitive training program that targets both low-level auditory perceptual processes and higher order attention and working memory operations. The present study utilized one of
the most basic training exercises, “Sound Sweeps,” an auditory frequency discrimination time-order judgment task. In this exercise, participants were presented with pairs of frequency-modulated sound “sweeps” and indicated whether they perceived each sweep
as becoming higher or lower in pitch. The training is continuously adaptive – sweep duration, frequency range, and interstimulus interval (ISI) become shorter after correct responses, but longer after incorrect responses. Correct responses are rewarded with
reinforcing visual and auditory stimuli. Training is divided into stages, with each stage comprised of levels that differ by stimulus frequency and ISI. Baseline auditory processing speed (APS) is calculated for each level based on the shortest duration of stimuli that
participants are able to correctly discriminate upon initial exposure to that level. To progress to the next level, participants must either match their baseline APS score (i.e. discriminate stimulus pairs that are equivalent in duration) or surpass their baseline APS
score (i.e. discriminate stimulus pairs that are shorter in duration) – this stimulus duration constitutes their “best” APS score for that level. Baseline and best APS scores are calculated for each level, with possible scores ranging from 13-1,000ms and lower scores
indicating better APS.
On screen and test days, subjects completed 1h of TCT. A practice block of Sound Sweep exercises was administered prior to training to ensure familiarity with computers and comprehension of task instructions. All participants successfully completed the
practice block and demonstrated an understanding of the task before beginning the training. Thus, the practice block served to minimize early variability in performance due to factors other than APS. A research assistant monitored the session, which lasted one
hour. Analytic software yielded the dependent measures: subjects’ across-session improvement score, processing speed percentile and total number of levels completed.
A low dose of the pro-attentional drug, AMPH, enhanced
auditory discrimination learning in SZ patients. This effect
may not be unique to SZ: a weaker but similar effect in HS
supports the notion that AMPH’s benefits in SZ patients
reflect an enhancement of intact brain mechanisms, in the
service of the attentional demands of training. Conceivably,
by enhancing auditory discrimination learning, AMPH might
accelerate or potentiate the neurocognitive and functional
gains associated with this form of TCT; if the underlying
mechanisms of AMPH effects reflect enhanced attention
rather than an auditory-specific process, then such AMPH
effects might generalize to other forms of TCT. This
hypothesis will be tested next.
We detected no adverse consequences of exposure to 10
mg of AMPH among our antipsychotic-treated SZ patients.
This is consistent with a substantial literature documenting
the safety and neurocognitive benefits of AMPH in AP-
mediated SZ patients. Importantly, a therapeutic paradigm in
which AMPH (or any other pro-cognitive agent) is used to
potentiate the benefits of TCT would involve total drug
exposure limited to the mornings prior to TCT training, e.g.
10 mg, three times weekly, for about 10 weeks.
Using biomarkers to identify patients most sensitive to such
TCT-enhancing drug effects via is an important part of the
“PACT” strategy. The present findings suggest that AMPH
effects on auditory discrimination learning may be most
pronounced among homozygous rs4680 “Met/Met”
individuals.
A critical next step is to determine whether AMPH-enhanced
TCT “learning” (i.e. gains in APS) observed in SZ patients
after a single session of TCT predicts clinical benefits after
an entire course of 30-50 hours. If so, and it is demonstrated
that AMPH can enhance the therapeutic effects of TCT, then
this “PACT” approach could represent a transformative
treatment paradigm for SZ.	
Barch DM, Carter CS. Amphetamine improves cognitive function in medicated individuals with
schizophrenia and in healthy volunteers. Schizophr Res 77:43-58, 2005.
Fisher M, Holland C, Merzenich MM, Vinogradov S. Using neuroplasticity-based auditory training to
improve verbal memory in schizophrenia. Am J Psychiatry 166:805-811, 2009
Fisher M, Holland C, Subramaniam K, Vinogradov S. Neuroplasticity-based cognitive training in
schizophrenia: an interim report on the effects 6 months later. Schizophr Bull 36:869-879, 2010.
Tarasenko M, Perez VB, Pianka ST, Vinogradov S, Braff DL, Swerdlow NR, Light GA. Measuring the
capacity for auditory system plasticity: An examination of performance gains during initial exposure to
auditory-targeted cognitive training in schizophrenia. Schiz Res (in press) 2015.
Vinogradov S, Fisher M, de Villers-Sidani E. Cognitive training for impaired neural systems in
neuropsychiatric illness. Neuropsychopharmacology 37:43-76, 2012
0
.25
.5
.75
1
1.25
1.5
1.75
2
2.25
CellMean
screen stage completed
PT
NCS
0
.25
.5
.75
1
1.25
1.5
1.75
2
2.25
CellMean
screen stage completed
PT
NCS0
.25
.5
.75
1
1.25
1.5
1.75
2
2.25
CellMean
screen stage completed
PT
NCSHS
SZ
StagesCompleted
*	
0
50
100
150
200
250
300
350
400
CellMeanforscreentraining(msec)
avebestever
avebaseline
avebest
PT
NCS
0
.25
.5
.75
1
1.25
1.5
1.75
2
2.25
CellMean
screen stage completed
PT
NCSHS
SZ
DiscriminationThreshold(ms)
Ave.
Best3
Ave.
Best
Ever1
Ave.
Baseline2
*	
0
.5
1
1.5
2
2.5
3
CellMeanforstagecompletedpbov.active
NCS PT
active
pbo
0
.5
1
1.5
2
2.5
3
CellMeanforstagecompletedpbov.active
NCS PT
active
pboPBO
AMPH
HS SZ
StagesCompleted
*	
-500
-400
-300
-200
-100
0
100
200
300
400
500
600
CellMeanforasessmentlearningpbov.active
NCS,AA
NCS,GG
PT,AA
PT,GG
active
pbo
0
.5
1
1.5
2
2.5
3
CellMeanforstagecompletedpbov.active
NCS PT
active
pboPBO
AMPH
“Learning”(ms)
HS SZ
rs4680:
AA GG AA GG*	*	
-50
0
50
100
150
200
250
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-50
0
50
100
150
200
250
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column2
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
-800
-600
-400
-200
0
200
400
600
800
1000
1200
1400
Column3
.98 .985 .99 .995 1 1.005 1.01 1.015 1.02
Column 4
Bivariate Scattergram
Split By: Column 1
Row exclusion: Untitled Dataset #1
Learning(ms)
HS SZ
PBO PBOAMPH AMPH
“Learning”(ms)
-200
-150
-100
-50
0
50
100
150
200
250
300
350
CellMeanforasessmentlearningpbov.active
NCS PT
active
pbo
0
.5
1
1.5
2
2.5
3
CellMeanforstagecompletedpbov.active
NCS PT
active
pboPBO
AMPH
HS SZ
“Learning”(ms)
*	
SZ patients were functionally impaired and symptomatic; all
were taking APs, mostly 2nd generation drugs. Compared to
HS, SZ patients were older and more likely to smoke.
Screen Day:
On Screen Day, TCT performance is impaired in SZ patients vs. HS, seen by significantly
fewer stages completed (left) and significantly longer discrimination thresholds (right).
1. Ave. Best Ever = the shortest ave. duration of sounds for which subjects could discriminate
sweep direction.
2. Ave. Baseline = the ave. duration of sounds for which subjects could discriminate sweep
direction during their initial exposure to the sounds.
3. Ave. Best = the ave. duration of sounds for which subjects could discriminate sweep direction
during all attempts to surpass their baseline scores, including unsuccessful attempts.
AMPH had no effect on the number of TCT
stages completed, either by HS or SZ patients.
Independent of diagnosis, AMPH significantly reduced
auditory discrimination thresholds. ANOVA revealed a
significant effect of diagnosis (longer thresholds in
patients) and drug, but no diagnosis x drug interaction.
AMPH increases the amount of “learning” during TCT,
determined by improvement in auditory perception speed (APS)
from pre-assessment to post-assessment. Here, a positive
number indicates more “learning” over the course of training.
ANOVA detected a significant effect of AMPH (p<0.035) and a
trend towards a diagnosis x AMPH interaction (p<0.085).
0
.5
1
1.5
2
2.5
3
CellMeanforstagecompletedpbov.active
NCS PT
active
pboPBO
AMPH
HS
SZ
DiscriminationThreshold(ms)
*	
Ave.
Best
Ave.
Best
Ever
Ave.
Base-
line
Ave.
Best
Ave.
Best
Ever
Ave.
Base-
line
*	
0
50
100
150
200
250
300
350
NCS,avebestever
NCS,avebaseline
NCS,avebest
PT,avebestever
PT,avebaseline
PT,avebest
64
66
68
70
72
74
76
78
80
82
CellMeanforHeartRate
NCS,postpillt=30
NCS,postpillt=60
NCS,postMATRICSt=165
NCS,postpillt=270
NCS,postpillt=320
NCS,postpillt=370
NCS,postpillt=420
PT,postpillt=30
PT,postpillt=60
PT,postMATRICSt=165
PT,postpillt=270
PT,postpillt=320
PT,postpillt=370
PT,postpillt=420
Active
Placebo
HR	SBP	DBP	
T	(min	post-pill)	
30																	420		30																	420	
HS	
SZ	
PBO	
AMPH	
Bioactivity of AMPH (10
mg po) was evident in its
effects on heart rate (HR),
systolic and diastolic blood
pressure (SBP, DBP) at the
time of TCT training (210
min post-pill (arrow). Effects
tended to be most robust in
HS, whose baseline levels
of all measures were lower
vs. SZ patients.
Training and Testing Structure:
Pre-Assessment è TCT è Post-Assessment
On each day (Screen Day, Test Days 1 and 2), subjects complete a 2-4 min “Pre-
Assessment” of Auditory Processing Speed (APS) Discrimination Threshold (ms),
then undergo 1 hour of training, followed by a 2-4 min “Post-Assessment” of APS.
The key metric of TCT learning is the change in APS from Pre- to Post-
Assessment, calculated as “Pre-minus-Post” Assessment.
Test Days:
There was substantial inter-individual variability in the magnitude of the AMPH effect on
TCT-based “learning”, in both HS and SZ patients (left). One potential source of variability is the
rs4680 polymorphism (right): AMPH-enhanced TCT learning was significantly greater among
individual homozygous for the Met/Met alleles (“AA”) vs. Val/Val homozygotes (“GG”).
TCT: Subjects identify each of two
successive sound sweeps as either
“up” (left) or “down” (right). Sweep
duration and interstimulus interval
are modified as the learner’s
performance improves (Fisher et al.
Am J Psychiatry, 2009).

More Related Content

What's hot

Can the tqt study be replaced b darpo london june 2013 (2)
Can the tqt study be replaced b darpo london june 2013 (2)Can the tqt study be replaced b darpo london june 2013 (2)
Can the tqt study be replaced b darpo london june 2013 (2)
Sasha Latypova
 
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
Brown Fellows Program
 
Advances in pharmacology applied to maxillofacial anaesthesia
Advances in pharmacology applied to maxillofacial anaesthesiaAdvances in pharmacology applied to maxillofacial anaesthesia
Advances in pharmacology applied to maxillofacial anaesthesia
shabeel pn
 
Recker_Topiramate Seminar
Recker_Topiramate SeminarRecker_Topiramate Seminar
Recker_Topiramate Seminar
Carrie Recker
 

What's hot (11)

New Strategies to Improve Outcomes and Quality of Life After a Concussion
New Strategies to Improve Outcomes and Quality of Life After a Concussion New Strategies to Improve Outcomes and Quality of Life After a Concussion
New Strategies to Improve Outcomes and Quality of Life After a Concussion
 
Pdf medtronic-dbs-parkinsons
Pdf medtronic-dbs-parkinsonsPdf medtronic-dbs-parkinsons
Pdf medtronic-dbs-parkinsons
 
Cognitive Rehabilitation in MS
Cognitive Rehabilitation in MSCognitive Rehabilitation in MS
Cognitive Rehabilitation in MS
 
Can the tqt study be replaced b darpo london june 2013 (2)
Can the tqt study be replaced b darpo london june 2013 (2)Can the tqt study be replaced b darpo london june 2013 (2)
Can the tqt study be replaced b darpo london june 2013 (2)
 
Biofeedback as an assessment tool in measuring effectiveness of alternate nos...
Biofeedback as an assessment tool in measuring effectiveness of alternate nos...Biofeedback as an assessment tool in measuring effectiveness of alternate nos...
Biofeedback as an assessment tool in measuring effectiveness of alternate nos...
 
Journal Club: Repeated Δ9-THC Exposure in Adolescent Monkeys: Persistent Effe...
Journal Club: Repeated Δ9-THC Exposure in Adolescent Monkeys: Persistent Effe...Journal Club: Repeated Δ9-THC Exposure in Adolescent Monkeys: Persistent Effe...
Journal Club: Repeated Δ9-THC Exposure in Adolescent Monkeys: Persistent Effe...
 
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
The Effects of Repetitive Transcranical Magnetic Stimulation Treatment on Maj...
 
Neurofeedback: the issues
Neurofeedback: the issuesNeurofeedback: the issues
Neurofeedback: the issues
 
Advances in pharmacology applied to maxillofacial anaesthesia
Advances in pharmacology applied to maxillofacial anaesthesiaAdvances in pharmacology applied to maxillofacial anaesthesia
Advances in pharmacology applied to maxillofacial anaesthesia
 
Recker_Topiramate Seminar
Recker_Topiramate SeminarRecker_Topiramate Seminar
Recker_Topiramate Seminar
 
Neurodevelopemental Therapy (Bobath approach)- Principles and Evidence
Neurodevelopemental Therapy (Bobath approach)- Principles and EvidenceNeurodevelopemental Therapy (Bobath approach)- Principles and Evidence
Neurodevelopemental Therapy (Bobath approach)- Principles and Evidence
 

Similar to ACNP 2015 PACT

DPT student poster_2014
DPT student poster_2014DPT student poster_2014
DPT student poster_2014
Molly Roepke
 
Advancing-Mobility-Through-Progressive-Technology.ppt
Advancing-Mobility-Through-Progressive-Technology.pptAdvancing-Mobility-Through-Progressive-Technology.ppt
Advancing-Mobility-Through-Progressive-Technology.ppt
DrAmanSaxena
 
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
troutmanboris
 
An Evaluation of A Stroke Rehabilitation Study At Rotman Research Institute
An Evaluation of A Stroke  Rehabilitation Study At Rotman  Research InstituteAn Evaluation of A Stroke  Rehabilitation Study At Rotman  Research Institute
An Evaluation of A Stroke Rehabilitation Study At Rotman Research Institute
Joanna (Yijing) Rong
 
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docxMultiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
roushhsiu
 
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docxMultiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
gemaherd
 
Lectura critica de un articulo en psiquiatria
Lectura critica de un articulo en psiquiatriaLectura critica de un articulo en psiquiatria
Lectura critica de un articulo en psiquiatria
evidenciaterapeutica.com
 
4 2009-changes in mlae ps following two yoga based relaxation techniques
4 2009-changes in mlae ps following two yoga based relaxation techniques4 2009-changes in mlae ps following two yoga based relaxation techniques
4 2009-changes in mlae ps following two yoga based relaxation techniques
Elsa von Licy
 

Similar to ACNP 2015 PACT (20)

DPT student poster_2014
DPT student poster_2014DPT student poster_2014
DPT student poster_2014
 
Pmr buzz magazine aug 2020 rt all
Pmr buzz magazine aug 2020 rt  allPmr buzz magazine aug 2020 rt  all
Pmr buzz magazine aug 2020 rt all
 
Advancing-Mobility-Through-Progressive-Technology.ppt
Advancing-Mobility-Through-Progressive-Technology.pptAdvancing-Mobility-Through-Progressive-Technology.ppt
Advancing-Mobility-Through-Progressive-Technology.ppt
 
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
586 Stahl B, et al. J Neurol Neurosurg Psychiatry 2018;89586–.docx
 
An Evaluation of A Stroke Rehabilitation Study At Rotman Research Institute
An Evaluation of A Stroke  Rehabilitation Study At Rotman  Research InstituteAn Evaluation of A Stroke  Rehabilitation Study At Rotman  Research Institute
An Evaluation of A Stroke Rehabilitation Study At Rotman Research Institute
 
Launching of cognitive training in ain shams university
Launching of cognitive training in ain shams universityLaunching of cognitive training in ain shams university
Launching of cognitive training in ain shams university
 
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docxMultiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
 
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docxMultiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
Multiple Sclerosis Journal2014, Vol. 20(3) 382 –390© The A.docx
 
Lectura crítica de un artículo
Lectura crítica de un artículoLectura crítica de un artículo
Lectura crítica de un artículo
 
Lectura critica de un articulo en psiquiatria
Lectura critica de un articulo en psiquiatriaLectura critica de un articulo en psiquiatria
Lectura critica de un articulo en psiquiatria
 
Neurofeedback
NeurofeedbackNeurofeedback
Neurofeedback
 
4 2009-changes in mlae ps following two yoga based relaxation techniques
4 2009-changes in mlae ps following two yoga based relaxation techniques4 2009-changes in mlae ps following two yoga based relaxation techniques
4 2009-changes in mlae ps following two yoga based relaxation techniques
 
A Proposed EEG Study of Anabolic Androgenic Steroid-Treated HIV Patients to E...
A Proposed EEG Study of Anabolic Androgenic Steroid-Treated HIV Patients to E...A Proposed EEG Study of Anabolic Androgenic Steroid-Treated HIV Patients to E...
A Proposed EEG Study of Anabolic Androgenic Steroid-Treated HIV Patients to E...
 
Main
MainMain
Main
 
PANDAS Introduction
PANDAS IntroductionPANDAS Introduction
PANDAS Introduction
 
PMR Buzz
PMR BuzzPMR Buzz
PMR Buzz
 
2015 Cancer Survivorship Conference - Spiritual, Physical & Mental Health
2015 Cancer Survivorship Conference - Spiritual, Physical & Mental Health2015 Cancer Survivorship Conference - Spiritual, Physical & Mental Health
2015 Cancer Survivorship Conference - Spiritual, Physical & Mental Health
 
Poster_Fifer
Poster_FiferPoster_Fifer
Poster_Fifer
 
Stroke rehabilitationEBS
Stroke rehabilitationEBSStroke rehabilitationEBS
Stroke rehabilitationEBS
 
Carralero-Martínez-2021-Efficacy of capacitive re.pdf
Carralero-Martínez-2021-Efficacy of capacitive re.pdfCarralero-Martínez-2021-Efficacy of capacitive re.pdf
Carralero-Martínez-2021-Efficacy of capacitive re.pdf
 

ACNP 2015 PACT

  • 1. Testing the “PACT” Strategy: Amphetamine Enhances Gains in Auditory Discrimination Training in Adult Schizophrenia Patients Neal R. Swerdlow1, Melissa Tarasenko1,2, Savita G. Bhakta1, Jo Talledo1,Erica L. Hughes1, Alexis I. Alvarez1, Brinda Rana1, Sophia Vinogradov3, Gregory A. Light1,2 1UC San Diego Dept. Psychiatry; 2VISN-22 MIRECC, VA San Diego Healthcare System; 3UC San Francisco Dept. Psychiatry Abstract References DiscussionMethods Conflicts of Interest Introduction Results Background An intensive program of computerized targeted cognitive training (TCT) of auditory processing and auditory working memory appears to drive improvements in higher-order cognition in schizophrenia (SZ) patients. Potentially, such therapeutic effects might be facilitated pharmacologically, via drugs that enhance attention, sensory processing and/or working memory processes that are taxed by the training. If this “pharmacologically augmented cognitive therapy” (“PACT”) strategy is successful, it might be possible to augment and accelerate the clinical benefits of TCT in SZ patients. Because gains in auditory psychophysical efficiency can be detected after a single one-hour session of training, it is possible to use a placebo (PBO)-controlled single dose cross-over design to assess drug effects on training response. We assessed the effects of the pro-attentional drug, d-amphetamine (AMPH; 10 mg po), on one hour of auditory TCT in SZ patients and healthy subjects (HS). Methods Carefully screened and characterized HS and patients with a diagnosis of SZ participated in this study; this sample included only individuals homozygous (AA or GG) at the rs4680 SNP for COMT. Subjects were tested three times with 1 week between tests: first in a screening session (no pill administered), and next in a double-blind order-balanced crossover design (test days 2 and 3), comparing PBO vs. 10 mg of AMPH. On each test day, 1 hour of Posit Science “Sound Sweeps” training was bracketed by brief (2-4 min) pre- and post-training assessments of auditory processing speed (APS). Training consisted of a speeded auditory time-order judgment task of two successive frequency modulation (FM) sweeps. On test days 2 and 3, pre-training assessments began 210 min post-pill administration, when 10 mg AMPH is known to be bioactive. Autonomic and subjective measures were collected throughout test days 2 and 3. All test days also included measures of neurocognition and sensorimotor gating, reported separately. Results AMPH was bioactive, enhancing autonomic function as well as subjective measures of alertness in HS. Baseline (screening and pre-training) performance (APS, trials completed) was impaired in SZ patients vs. HS (all p’s<0.02–0.0001). Auditory system “learning” (APS post- vs. pre- training) was enhanced by AMPH, and this effect was relatively comparable in HS and patients (main effect of diagnosis: ns; main effect of AMPH: p<0.035; diagnosis x drug interaction: p<0.085; effect of AMPH in patients: d=0.40; main effect of AMPH in HS: d=0.27. Independent of diagnosis, AMPH effects on auditory system “learning” tended to be greater among rs4680 AA vs. GG subjects (p<0.02); learning achieved statistical significance only among AA (p<0.002) but not GG subjects (ns). Conclusions We demonstrate that a low dose of the pro-attentional drug, AMPH, enhances auditory discrimination learning in SZ patients. This effect may not be unique to SZ: a weaker but similar effect in HS supports the notion that AMPH’s benefits in SZ patients reflect an enhancement of intact brain mechanisms, in the service of the attentional demands of training. Identifying patients most sensitive to such drug effects via biomarkers is an important part of the “PACT” strategy, and the present findings provide tentative evidence that AMPH effects on auditory discrimination learning may be most pronounced among individuals homozygous for methionine at the rs4680 SNP. It is important to note that we do not yet know whether the behavioral improvement (i.e. gains in APS) observed in SZ patients after a single session of auditory discrimination training predicts clinical benefits after an entire course of 30-50 hours of auditory system exercises. However, if such benefits are demonstrated, and AMPH can enhance the therapeutic effects of training, then this “PACT” approach could represent a transformative treatment paradigm for SZ. GAL has served as a consultant for Astellas, Forum Pharmaceuticals, Boehringer Ingelheim and Neuroverse. SV serves as a site PI on an SBIR grant to Positscience. Neurocognitive deficits contribute strongly to functional disability in chronic psychotic disorders, including schizophrenia (SZ). While antipsychotics can blunt the most severe acute psychotic symptoms, they are generally ineffective in treating negative symptoms or neurocognitive deficits. Efforts at remediating cognitive deficits using computerized targeted cognitive training (TCT) have generally shown a modest degree of efficacy at the group level, yet almost half of all SZ patients demonstrate virtually no cognitive enhancement after undergoing a therapeutic dose (e.g. 40 hours) of TCT. For patients and clinicians, the costs associated with these time- and resource- intensive interventions can be prohibitive. An area of active research – and the topic of a 2012 ACNP Panel - is the development of Pharmacologically Augmented Cognitive Therapies (“PACTs”) for SZ: can drugs with pro-cognitive effects will specifically, and perhaps synergistically, augment the clinical benefits of cognitive therapies such as TCT? A "proof of concept" for this approach is found in the use of pro-extinction drugs to selectively enhance the therapeutic impact of cognitive therapies for anxiety disorders. We hypothesize that in the context of TCT for SZ, pro- cognitive agents will be particularly effective in enhancing function in subgroups of patients with specific neurobiological and/or genetic characteristics. This study tested the hypothesis that the pro- attention drug, d-amphetamine (AMPH), will enhance performance of a TCT task – Posit Science “Sound Sweeps” – which is known to enhance neurocognition in groups of SZ patients. Such an observation would establish a clear rationale for predicting enhanced therapeutic effects of a PACT paradigm in which AMPH is paired with TCT. Paid participants (N’s: HS = 20; SZ = 15) were carefully screened to establish appropriate diagnoses and rule out potential exclusionary conditions (pregnancy, current substance abuse, significant medical illness, seizure history, open head injury or closed head injury with loss of consciousness >1 min, known hearing or visual impairment). Screening and 2 test sessions were conducted 5-10 days apart. Alleles in rs4680 were identified from saliva prior to screening via a restriction fragment length polymorphism after PCR amplification. All SZ subjects had been maintained on stable AP doses for > 1 month. Testing included measures of acoustic startle and prepulse inhibition, as well as measures of neurocognition (MATRICS Consensus Neurocognitive Battery; MCCB) and TCT performance. Targeted Cognitive Training (TCT) (PositScience; brainhq.com) is a computerized cognitive training program that targets both low-level auditory perceptual processes and higher order attention and working memory operations. The present study utilized one of the most basic training exercises, “Sound Sweeps,” an auditory frequency discrimination time-order judgment task. In this exercise, participants were presented with pairs of frequency-modulated sound “sweeps” and indicated whether they perceived each sweep as becoming higher or lower in pitch. The training is continuously adaptive – sweep duration, frequency range, and interstimulus interval (ISI) become shorter after correct responses, but longer after incorrect responses. Correct responses are rewarded with reinforcing visual and auditory stimuli. Training is divided into stages, with each stage comprised of levels that differ by stimulus frequency and ISI. Baseline auditory processing speed (APS) is calculated for each level based on the shortest duration of stimuli that participants are able to correctly discriminate upon initial exposure to that level. To progress to the next level, participants must either match their baseline APS score (i.e. discriminate stimulus pairs that are equivalent in duration) or surpass their baseline APS score (i.e. discriminate stimulus pairs that are shorter in duration) – this stimulus duration constitutes their “best” APS score for that level. Baseline and best APS scores are calculated for each level, with possible scores ranging from 13-1,000ms and lower scores indicating better APS. On screen and test days, subjects completed 1h of TCT. A practice block of Sound Sweep exercises was administered prior to training to ensure familiarity with computers and comprehension of task instructions. All participants successfully completed the practice block and demonstrated an understanding of the task before beginning the training. Thus, the practice block served to minimize early variability in performance due to factors other than APS. A research assistant monitored the session, which lasted one hour. Analytic software yielded the dependent measures: subjects’ across-session improvement score, processing speed percentile and total number of levels completed. A low dose of the pro-attentional drug, AMPH, enhanced auditory discrimination learning in SZ patients. This effect may not be unique to SZ: a weaker but similar effect in HS supports the notion that AMPH’s benefits in SZ patients reflect an enhancement of intact brain mechanisms, in the service of the attentional demands of training. Conceivably, by enhancing auditory discrimination learning, AMPH might accelerate or potentiate the neurocognitive and functional gains associated with this form of TCT; if the underlying mechanisms of AMPH effects reflect enhanced attention rather than an auditory-specific process, then such AMPH effects might generalize to other forms of TCT. This hypothesis will be tested next. We detected no adverse consequences of exposure to 10 mg of AMPH among our antipsychotic-treated SZ patients. This is consistent with a substantial literature documenting the safety and neurocognitive benefits of AMPH in AP- mediated SZ patients. Importantly, a therapeutic paradigm in which AMPH (or any other pro-cognitive agent) is used to potentiate the benefits of TCT would involve total drug exposure limited to the mornings prior to TCT training, e.g. 10 mg, three times weekly, for about 10 weeks. Using biomarkers to identify patients most sensitive to such TCT-enhancing drug effects via is an important part of the “PACT” strategy. The present findings suggest that AMPH effects on auditory discrimination learning may be most pronounced among homozygous rs4680 “Met/Met” individuals. A critical next step is to determine whether AMPH-enhanced TCT “learning” (i.e. gains in APS) observed in SZ patients after a single session of TCT predicts clinical benefits after an entire course of 30-50 hours. If so, and it is demonstrated that AMPH can enhance the therapeutic effects of TCT, then this “PACT” approach could represent a transformative treatment paradigm for SZ. Barch DM, Carter CS. Amphetamine improves cognitive function in medicated individuals with schizophrenia and in healthy volunteers. Schizophr Res 77:43-58, 2005. Fisher M, Holland C, Merzenich MM, Vinogradov S. Using neuroplasticity-based auditory training to improve verbal memory in schizophrenia. Am J Psychiatry 166:805-811, 2009 Fisher M, Holland C, Subramaniam K, Vinogradov S. Neuroplasticity-based cognitive training in schizophrenia: an interim report on the effects 6 months later. Schizophr Bull 36:869-879, 2010. Tarasenko M, Perez VB, Pianka ST, Vinogradov S, Braff DL, Swerdlow NR, Light GA. Measuring the capacity for auditory system plasticity: An examination of performance gains during initial exposure to auditory-targeted cognitive training in schizophrenia. Schiz Res (in press) 2015. Vinogradov S, Fisher M, de Villers-Sidani E. Cognitive training for impaired neural systems in neuropsychiatric illness. Neuropsychopharmacology 37:43-76, 2012 0 .25 .5 .75 1 1.25 1.5 1.75 2 2.25 CellMean screen stage completed PT NCS 0 .25 .5 .75 1 1.25 1.5 1.75 2 2.25 CellMean screen stage completed PT NCS0 .25 .5 .75 1 1.25 1.5 1.75 2 2.25 CellMean screen stage completed PT NCSHS SZ StagesCompleted * 0 50 100 150 200 250 300 350 400 CellMeanforscreentraining(msec) avebestever avebaseline avebest PT NCS 0 .25 .5 .75 1 1.25 1.5 1.75 2 2.25 CellMean screen stage completed PT NCSHS SZ DiscriminationThreshold(ms) Ave. Best3 Ave. Best Ever1 Ave. Baseline2 * 0 .5 1 1.5 2 2.5 3 CellMeanforstagecompletedpbov.active NCS PT active pbo 0 .5 1 1.5 2 2.5 3 CellMeanforstagecompletedpbov.active NCS PT active pboPBO AMPH HS SZ StagesCompleted * -500 -400 -300 -200 -100 0 100 200 300 400 500 600 CellMeanforasessmentlearningpbov.active NCS,AA NCS,GG PT,AA PT,GG active pbo 0 .5 1 1.5 2 2.5 3 CellMeanforstagecompletedpbov.active NCS PT active pboPBO AMPH “Learning”(ms) HS SZ rs4680: AA GG AA GG* * -50 0 50 100 150 200 250 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -50 0 50 100 150 200 250 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column2 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 -800 -600 -400 -200 0 200 400 600 800 1000 1200 1400 Column3 .98 .985 .99 .995 1 1.005 1.01 1.015 1.02 Column 4 Bivariate Scattergram Split By: Column 1 Row exclusion: Untitled Dataset #1 Learning(ms) HS SZ PBO PBOAMPH AMPH “Learning”(ms) -200 -150 -100 -50 0 50 100 150 200 250 300 350 CellMeanforasessmentlearningpbov.active NCS PT active pbo 0 .5 1 1.5 2 2.5 3 CellMeanforstagecompletedpbov.active NCS PT active pboPBO AMPH HS SZ “Learning”(ms) * SZ patients were functionally impaired and symptomatic; all were taking APs, mostly 2nd generation drugs. Compared to HS, SZ patients were older and more likely to smoke. Screen Day: On Screen Day, TCT performance is impaired in SZ patients vs. HS, seen by significantly fewer stages completed (left) and significantly longer discrimination thresholds (right). 1. Ave. Best Ever = the shortest ave. duration of sounds for which subjects could discriminate sweep direction. 2. Ave. Baseline = the ave. duration of sounds for which subjects could discriminate sweep direction during their initial exposure to the sounds. 3. Ave. Best = the ave. duration of sounds for which subjects could discriminate sweep direction during all attempts to surpass their baseline scores, including unsuccessful attempts. AMPH had no effect on the number of TCT stages completed, either by HS or SZ patients. Independent of diagnosis, AMPH significantly reduced auditory discrimination thresholds. ANOVA revealed a significant effect of diagnosis (longer thresholds in patients) and drug, but no diagnosis x drug interaction. AMPH increases the amount of “learning” during TCT, determined by improvement in auditory perception speed (APS) from pre-assessment to post-assessment. Here, a positive number indicates more “learning” over the course of training. ANOVA detected a significant effect of AMPH (p<0.035) and a trend towards a diagnosis x AMPH interaction (p<0.085). 0 .5 1 1.5 2 2.5 3 CellMeanforstagecompletedpbov.active NCS PT active pboPBO AMPH HS SZ DiscriminationThreshold(ms) * Ave. Best Ave. Best Ever Ave. Base- line Ave. Best Ave. Best Ever Ave. Base- line * 0 50 100 150 200 250 300 350 NCS,avebestever NCS,avebaseline NCS,avebest PT,avebestever PT,avebaseline PT,avebest 64 66 68 70 72 74 76 78 80 82 CellMeanforHeartRate NCS,postpillt=30 NCS,postpillt=60 NCS,postMATRICSt=165 NCS,postpillt=270 NCS,postpillt=320 NCS,postpillt=370 NCS,postpillt=420 PT,postpillt=30 PT,postpillt=60 PT,postMATRICSt=165 PT,postpillt=270 PT,postpillt=320 PT,postpillt=370 PT,postpillt=420 Active Placebo HR SBP DBP T (min post-pill) 30 420 30 420 HS SZ PBO AMPH Bioactivity of AMPH (10 mg po) was evident in its effects on heart rate (HR), systolic and diastolic blood pressure (SBP, DBP) at the time of TCT training (210 min post-pill (arrow). Effects tended to be most robust in HS, whose baseline levels of all measures were lower vs. SZ patients. Training and Testing Structure: Pre-Assessment è TCT è Post-Assessment On each day (Screen Day, Test Days 1 and 2), subjects complete a 2-4 min “Pre- Assessment” of Auditory Processing Speed (APS) Discrimination Threshold (ms), then undergo 1 hour of training, followed by a 2-4 min “Post-Assessment” of APS. The key metric of TCT learning is the change in APS from Pre- to Post- Assessment, calculated as “Pre-minus-Post” Assessment. Test Days: There was substantial inter-individual variability in the magnitude of the AMPH effect on TCT-based “learning”, in both HS and SZ patients (left). One potential source of variability is the rs4680 polymorphism (right): AMPH-enhanced TCT learning was significantly greater among individual homozygous for the Met/Met alleles (“AA”) vs. Val/Val homozygotes (“GG”). TCT: Subjects identify each of two successive sound sweeps as either “up” (left) or “down” (right). Sweep duration and interstimulus interval are modified as the learner’s performance improves (Fisher et al. Am J Psychiatry, 2009).