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Y P O C T O N O D Lorella Battelli, PhD E S A E L P Y P O C T


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SLIDE 1
  • Lorella Battelli, PhD

P L E A S E D O N O T C O P Y

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SLIDE 2
  • P

L E A S E D O N O T C O P Y

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SLIDE 3
  • P

L E A S E D O N O T C O P Y

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SLIDE 4
  • TMS over M1
  • P

L E A S E D O N O T C O P Y

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SLIDE 5

Plasticity over 1 session:

  • MEP amplitude after tRNS over M1

Terney et al., Journal of Neuroscience, 2008

P L E A S E D O N O T C O P Y

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SLIDE 6
  • P

L E A S E D O N O T C O P Y

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SLIDE 7

a-tDCS

  • Active Stimulation

20 minutes @1mA anode EVA(OZ), cathode (CZ)

  • Sham Stimulation

hf-tRNS

  • Active Stimulation

20 minutes @1mA Bilateral EVA (O2, O1)

  • Sham Stimulation

n=12 n=12

Measuring Cortical excitability

Florian Heprich Federica Contò

P L E A S E D O N O T C O P Y

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SLIDE 8

Phosphene threshold

P L E A S E D O N O T C O P Y

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SLIDE 9
  • tRNS

tDCS Sham

P L E A S E D O N O T C O P Y

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SLIDE 10
  • ** **

** ** ** ** **

P L E A S E D O N O T C O P Y

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SLIDE 11

Herpich et al., in prep

** ** ** ** ** ** **

Terney et al., 2008 tRNS = 1 mA – 20 min – bilateral stimulation tRNS = 1 mA – 10 min – unilateral stimulation

P L E A S E D O N O T C O P Y

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SLIDE 12
  • P

L E A S E D O N O T C O P Y

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SLIDE 13

Perceptual Learning

Process by which training leads to improvement in abilities to detect, discriminate and identify sensory stimuli

P L E A S E D O N O T C O P Y

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SLIDE 14

Single cell recordings revealed that visual experience modifies neuronal connections in early life.

Wiesel and Hubel, 1963

P L E A S E D O N O T C O P Y

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SLIDE 15
  • Traditionally, brain plasticity has been thought to occur only during

infancy and early development

  • Although plasticity effects are strongest during childhood, the last

two decades of research demonstrated that the adult brain is plastic

Conclusions Conclusions

P L E A S E D O N O T C O P Y

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SLIDE 16

Coherent Motion Detection in Noise

Post Training

15% 50% 100%

Weak Signal Moderate Signal Strong Signal

Performance Signal Strength

Pre Training Threshold 0% 100%

P L E A S E D O N O T C O P Y

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SLIDE 17

Time

Learning Threshold Simple Sensory Input

Stimulus Presentation

Efficacy

Optimization of Sensory Input Attention Reinforcement (Reward - Punishment)

Non-Invasive Brain Stimulation

Conclusions

P L E A S E D O N O T C O P Y

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SLIDE 18

Anodal

P L E A S E D O N O T C O P Y

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SLIDE 19
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L E A S E D O N O T C O P Y

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SLIDE 20
  • Visuo-perceptual functions can be trained both in healthy adults (Hang et al.,

2014) and in the neurological population (Huxlin et al., 2009; Das et al., 2014)

  • Can we use tRNS to boost PL processes to improve visual function in healthy

subjects? (Miniussi et al., 2011)

  • Can we use tRNS to boost PL in stroke patients?

P L E A S E D O N O T C O P Y

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SLIDE 21

Pre-Training Baseline Pre-Training Baseline 6 Months 6 Months Follow Up Follow Up

N = 45 N = 45 20 Mins.

0 Mins. @ 1mA. @ 1mA.

Fixation

500 ms

tES ES

1000 ms

Florian Heprich

  • P

L E A S E D O N O T C O P Y

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SLIDE 22

Stimulation Protocol

a-tDCS a-tDCS tRNS tRNS

Parietal Parietal tRNS tRNS

Sham Sham Behavioral Behavioral

n = 9 n = 9 n = 9 n = 9 n = 9

P L E A S E D O N O T C O P Y

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SLIDE 23

10 20 30 40 50 60 70 1 2 4 6 8 10 3 5 7 9 Session Percent improvement a-tDCS Control tRNS

  • P

L E A S E D O N O T C O P Y

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SLIDE 24

20 40 60 a-tDCS Control tRNS Post-test 6-month follow-up Amount of learning

P L E A S E D O N O T C O P Y

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Can tES promote recovery in stroke patients?

P L E A S E D O N O T C O P Y

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  • Damage to V1 in one hemisphere
  • Blindness in the opposite

hemifield

  • Spontaneous recovery limited to

the first weeks

OS/OD

  • 20
  • 10

10 20

  • Deg. visual angle
  • 30
  • 20
  • 10

10 20 30

  • Deg. visual angle

Hemianopic patients

P L E A S E D O N O T C O P Y

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SLIDE 27
  • No established validated clinical therapies exist for the

restoration of visual field deficits

  • But the CB retain residual visual processing abilities

(“Blindsight”, Weiskrantz 1974)

P L E A S E D O N O T C O P Y

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SLIDE 28
  • Huxlin et al., Journal of Neuroscience, 2009
  • Stroke patients with V1 damage
  • Trained on global direction

discrimination in cortically blind field

P L E A S E D O N O T C O P Y

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SLIDE 29

Huxlin et al., Journal of Neuroscience, 2009

  • P

L E A S E D O N O T C O P Y

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SLIDE 30

Pre-Training Baseline Baseline Visual Perimetry

Fixation

1000 ms

Procedure

Visual Perimetry Visual Perimetry

500 ms s

P L E A S E D O N O T C O P Y

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SLIDE 31

tRNS Sham

P L E A S E D O N O T C O P Y

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SLIDE 32

P L E A S E D O N O T C O P Y

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SLIDE 33

R2 =.601 R2 =.057

Introduction

Neuroplasticity Materials & Methods Experiments Results Materials & Methods Experiment Results Results Experiments Materials & Methods Perceptual Learning NIBS

Conclusions

r =.23 r =.78

tRNS Sham

P L E A S E D O N O T C O P Y

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SLIDE 34

tRNS

Visual Perimetry

P L E A S E D O N O T C O P Y

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SLIDE 35

Sham

Visual Perimetry

P L E A S E D O N O T C O P Y

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  • Plasticity over multiple sessions:
  • Perceptual learning during tRNS
  • ver Parietal Cortex

Cappelletti et al., Journal of Neuroscience, 2013

P L E A S E D O N O T C O P Y

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SLIDE 37
  • Can we promote learning with tRNS and make it more

efficient? (Cappelletti et al., 2013)

  • Short-training paradigm?

P L E A S E D O N O T C O P Y

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SLIDE 38

Research report

Functional connectivity of parietal cortex during temporal selective attention

Sarah C. Tyler a,b,*, Samhita Dasgupta a, Sara Agosta b, Lorella Battelli b,c and Emily D. Grossman a

P L E A S E D O N O T C O P Y

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The ‘When network’

  • Temporal Attention: ability to perceive the
  • rder and structure of events
  • Control of temporal attention, the ‘When

Network’ Crucial role of the Parietal lobe

Hypothesis tRNS modulates parietal cortical activity and consequently improves temporal attention

(Battelli et al., 2007; Tyler et al., 2015)

P L E A S E D O N O T C O P Y

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SLIDE 40
  • Federica Contò

Sarah Tyler

P L E A S E D O N O T C O P Y

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  • P

L E A S E D O N O T C O P Y

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Behav hMT+ Parietal Sham

Tyler et al., JoCN, in press 1 Session Blocks

Average performance Improvement by condition

Behavioral Improvement in One Session

P L E A S E D O N O T C O P Y

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SLIDE 43

Dual-task Training

Optimize Training + Stimulation

  • Extend the effect in time

multi-session stimulation

  • Efficiency of training paradigm double-training (Szpiro et al.,

2014)

Neurophysiological effect

  • Detecting changes in functional connectivity
  • Is the effect local or wide-spread across the attention network?

Grace Edwards Federica Contò Sarah Tyler

P L E A S E D O N O T C O P Y

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SLIDE 44

Orientation Discrimination

  • +

Time 1000 ms

Time 1000 ms

+ +

  • SOAs

+

Temporal Order Judgment

Training on two tasks

P L E A S E D O N O T C O P Y

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SLIDE 45

Experimental Procedure

Dual-task Pre-Test Dual-task Post-Test Dual-task training + tRNS MRI Stimulation MRI

t

Multi-Session Between Subjects Design

P L E A S E D O N O T C O P Y

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SLIDE 46

Task Design

Orientation Discrimination (OD) Temporal Order Judgment (TOJ) Conditions: Parietal (N = 10) hMT+ (N = 10) Sham (N = 10)

P L E A S E D O N O T C O P Y

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SLIDE 47

10 20 30 40 50 60 70 80 90 Day 1 Day 6

Percent Correct

hMT (n=10) Sham (n=10) Parietal (n=10)

**

Orientation Discrimination

P L E A S E D O N O T C O P Y

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SLIDE 48

Functional Connectivity

Computed FC between these nodes of the attentional network

Individual ROIs

R,L FEF R,L IPS RL, TPJ R,L hMT

FEF MT IPS TPJ F T IPS TPJ PS F

FEF IPS TPJ hMT

P L E A S E D O N O T C O P Y

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SLIDE 49

FEF IPS TPJ hMT

Day 6 vs Day 1

Parietal difference between session 1 and session 2

IPSR IPSL hMTR hMTL FEFR FEFL TPJR TPJL IPSR IPSL hMTR hMTL FEFR FEFL TPJR TPJL

  • 1
  • 0.5

0.5 1

hMT difference between session 1 and session 2

IPSR IPSL hMTR hMTL FEFR FEFL TPJR TPJL IPSR IPSL hMTR hMTL FEFR FEFL TPJR TPJL

  • 1
  • 0.5

0.5 1

Parietal Day6 vs Day1 hMT Day6 vs Day1

P L E A S E D O N O T C O P Y

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Transcranial Direct Current Stimulation Facilitates Associative Learning and Alters Functional Connectivity in the Primate Brain

Matthew R. Krause,1 Theodoros P. Zanos,2 Bennett A. Csorba,1 Praveen K. Pilly,3,5,* Jaehoon Choe,3 Matthew E. Phillips,3 Abhishek Datta,4 and Christopher C. Pack1,*

Current Biology

Article

B

  • P

L E A S E D O N O T C O P Y

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SLIDE 51

Conclusions

  • tRNS over the Parietal Lobe promotes and speeds up learning

within few training sessions

Neural processes sufficiently stimulated while in a sensitized state Double training coupled with tRNS can maximize learning

  • tRNS may be changing functional connectivity among critical

nodes of the attention networks

  • Potential clinical applications

P L E A S E D O N O T C O P Y